diff --git a/examples/acoustics_example.ipynb b/examples/acoustics_example.ipynb
index fc3101bac..a627a740d 100644
--- a/examples/acoustics_example.ipynb
+++ b/examples/acoustics_example.ipynb
@@ -152,7 +152,16 @@
    "cell_type": "code",
    "execution_count": 5,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\mcve343\\MHKiT-Python\\mhkit\\acoustics\\analysis.py:250: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=48000 samples, pct_overlap=0.5).\n",
+      "  psd = binner.power_spectral_density(\n"
+     ]
+    }
+   ],
    "source": [
     "# Create mean square spectral densities using 1 s bins.\n",
     "spsd = acoustics.sound_pressure_spectral_density(V, fs=V.fs, bin_length=1)"
@@ -286,7 +295,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 600x500 with 2 Axes>"
       ]
@@ -358,7 +367,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 600x500 with 1 Axes>"
       ]
@@ -369,12 +378,12 @@
    ],
    "source": [
     "import random\n",
-    "samples = random.sample(range(spsdl[\"time\"].size), 30)\n",
-    "spsdl_clip = spsdl.isel(time=samples)\n",
+    "samples = random.sample(range(spsdl[\"time_psd\"].size), 30)\n",
+    "spsdl_clip = spsdl.isel(time_psd=samples)\n",
     "\n",
-    "spsdl_median = spsdl_clip.median(\"time\")\n",
-    "spsdl_q25 = spsdl_clip.quantile(0.25, \"time\")\n",
-    "spsdl_q75 = spsdl_clip.quantile(0.75, \"time\")\n",
+    "spsdl_median = spsdl_clip.median(\"time_psd\")\n",
+    "spsdl_q25 = spsdl_clip.quantile(0.25, \"time_psd\")\n",
+    "spsdl_q75 = spsdl_clip.quantile(0.75, \"time_psd\")\n",
     "\n",
     "# Plot medians and quantiles\n",
     "fig, ax = acoustics.graphics.plot_spectra(spsdl_median, fmin, fmax, label=\"Median\")\n",
@@ -399,22 +408,24 @@
    "source": [
     "### Window Averaging\n",
     "\n",
-    "If desired, one can do a couple different types of time-averaging the SPSDLs, though this isn't required by the IEC-40. There are two main supported functions in MHKiT, `time_average` and `time_summation`, which both take the SPSDL and a time window as inputs\n",
+    "If desired, one can do a couple different types of time-averaging the SPSDLs, though this isn't required by the IEC-40. There are two main supported functions in MHKiT, `time_summation` and `time_average`, which both take the SPSDL and a time window as inputs\n",
     "\n",
-    "`time_average` finds returns the spectral average of the SPSDLs in each specified window. This is useful for say, finding the average 30 second SPSDL every hour. In this case, the original SPSD bin_length was 30 seconds, and the time window to input to `time_average` is 1 hour.\n",
+    "`time_summation` represents the total accumulated spectral energy within each window and is proportional to N times the window-averaged SPSDL, where N is the number of input bins per window.\n",
     "\n",
-    "`time_summation` returns the spectral sum of the SPSDLs in each specified window. This is equivalent to recalculating the SPSDs for a new bin_length. For example:\n",
+    "`time_average` returns the energy-averaged SPSDLs in each specified window. This is equivalent to recalculating the SPSDs for a new bin_length. For example:\n",
     "\n",
     "```python\n",
     "spsd = acoustics.sound_pressure_spectral_density(V, fs=V.fs, bin_length=1, fft_length=V.fs)\n",
+    "spsd = acoustics.apply_calibration(spsd, sensitivity_curve, fill_value=fill_Sf)\n",
     "spsdl = acoustics.sound_pressure_spectral_density_level(spsd)\n",
-    "spsdl_30 = acoustics.time_summation(spsdl, window=30)\n",
+    "spsdl_30 = acoustics.time_average(spsdl, window=30)\n",
     "```\n",
     "\n",
     "is equivalent to\n",
     "\n",
     "```python\n",
     "spsd_30 = acoustics.sound_pressure_spectral_density(V, fs=V.fs, bin_length=30, fft_length=V.fs)\n",
+    "spsd_30 = acoustics.apply_calibration(spsd_30, sensitivity_curve, fill_value=fill_Sf)\n",
     "spsdl_30 = acoustics.sound_pressure_spectral_density_level(spsd_30)\n",
     "```\n",
     "\n",
@@ -429,8 +440,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "\n",
-    "# Time average into 30 s windows and take the median parameter value\n",
+    "# Time average into 30 s windows\n",
     "window = 30\n",
     "spsdl_30s = acoustics.time_average(spsdl, window)"
    ]
@@ -460,7 +470,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 600x500 with 1 Axes>"
       ]
@@ -518,12 +528,12 @@
     {
      "data": {
       "text/plain": [
-       "[[<matplotlib.axis.XTick at 0x238f3fa2910>,\n",
-       "  <matplotlib.axis.XTick at 0x238f619e4d0>,\n",
-       "  <matplotlib.axis.XTick at 0x238f6132590>,\n",
-       "  <matplotlib.axis.XTick at 0x238f5710250>,\n",
-       "  <matplotlib.axis.XTick at 0x238f638b290>,\n",
-       "  <matplotlib.axis.XTick at 0x238f6395350>],\n",
+       "[[<matplotlib.axis.XTick at 0x168e9168710>,\n",
+       "  <matplotlib.axis.XTick at 0x168e9169b90>,\n",
+       "  <matplotlib.axis.XTick at 0x168e9246050>,\n",
+       "  <matplotlib.axis.XTick at 0x168e9106cd0>,\n",
+       "  <matplotlib.axis.XTick at 0x168e991e050>,\n",
+       "  <matplotlib.axis.XTick at 0x168e989dbd0>],\n",
        " [Text(0.0, 0, '0'),\n",
        "  Text(1.0, 0, '1'),\n",
        "  Text(2.0, 0, '2'),\n",
@@ -541,7 +551,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 2 Axes>"
       ]
@@ -556,11 +566,11 @@
     "\n",
     "# Plot medians and quantiles\n",
     "fig, ax = plt.subplots(1, 2, figsize=(10, 4), constrained_layout=True)\n",
-    "fig, ax[0] = acoustics.graphics.plot_spectra(decidecade_spsdl.median(\"time\"), fmin, fmax, fig=fig, ax=ax[0], label=\"Median\")\n",
+    "fig, ax[0] = acoustics.graphics.plot_spectra(decidecade_spsdl.median(\"time_psd\"), fmin, fmax, fig=fig, ax=ax[0], label=\"Median\")\n",
     "ax[0].fill_between(\n",
     "    decidecade_spsdl[\"freq\"],\n",
-    "    decidecade_spsdl.quantile(0.25, \"time\"),\n",
-    "    decidecade_spsdl.quantile(0.75, \"time\"),\n",
+    "    decidecade_spsdl.quantile(0.25, \"time_psd\"),\n",
+    "    decidecade_spsdl.quantile(0.75, \"time_psd\"),\n",
     "    alpha=0.5,\n",
     "    facecolor=\"C0\",\n",
     "    edgecolor=None,\n",
@@ -623,7 +633,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 400x400 with 1 Axes>"
       ]
@@ -643,7 +653,7 @@
     "    # calculate the proportional values of samples\n",
     "    p = 1.0 - np.arange(len(x)) / (len(x) + 1)\n",
     "    # recreate dataarray\n",
-    "    x = x.assign_coords({\"time\": p}).rename({\"time\": \"probability\"})\n",
+    "    x = x.assign_coords({\"time_psd\": p}).rename({\"time_psd\": \"probability\"})\n",
     "    x.values = np.reshape(x_sorted, shape)\n",
     "    return x\n",
     "\n",
@@ -691,7 +701,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 600x500 with 2 Axes>"
       ]
@@ -785,7 +795,7 @@
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x238f69c8410>]"
+       "[<matplotlib.lines.Line2D at 0x168e7181dd0>]"
       ]
      },
      "execution_count": 19,
@@ -794,7 +804,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -841,12 +851,12 @@
     {
      "data": {
       "text/plain": [
-       "[[<matplotlib.axis.XTick at 0x238fa9ff050>,\n",
-       "  <matplotlib.axis.XTick at 0x238f0048150>,\n",
-       "  <matplotlib.axis.XTick at 0x238f6c6fa10>,\n",
-       "  <matplotlib.axis.XTick at 0x238f6d1ec90>,\n",
-       "  <matplotlib.axis.XTick at 0x238f24eef90>,\n",
-       "  <matplotlib.axis.XTick at 0x238f6c886d0>],\n",
+       "[[<matplotlib.axis.XTick at 0x168e6f5ad90>,\n",
+       "  <matplotlib.axis.XTick at 0x168e7170e10>,\n",
+       "  <matplotlib.axis.XTick at 0x168e9f0ebd0>,\n",
+       "  <matplotlib.axis.XTick at 0x168e7416690>,\n",
+       "  <matplotlib.axis.XTick at 0x168e74387d0>,\n",
+       "  <matplotlib.axis.XTick at 0x168e743a8d0>],\n",
        " [Text(0.0, 0, '0'),\n",
        "  Text(1.0, 0, '1'),\n",
        "  Text(2.0, 0, '2'),\n",
@@ -865,7 +875,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 2 Axes>"
       ]
@@ -880,11 +890,11 @@
     "\n",
     "# Plot the decidecade sound pressure level\n",
     "fig, ax = plt.subplots(1, 2, figsize=(10, 4), constrained_layout=True)\n",
-    "fig, ax[0] = acoustics.graphics.plot_spectra(spl10.median(\"time\"), fmin, fmax, fig=fig, ax=ax[0], label=\"Median\")\n",
+    "fig, ax[0] = acoustics.graphics.plot_spectra(spl10.median(\"time_psd\"), fmin, fmax, fig=fig, ax=ax[0], label=\"Median\")\n",
     "ax[0].fill_between(\n",
     "    spl10[\"freq_bins\"],\n",
-    "    spl10.quantile(0.25, \"time\"),\n",
-    "    spl10.quantile(0.75, \"time\"),\n",
+    "    spl10.quantile(0.25, \"time_psd\"),\n",
+    "    spl10.quantile(0.75, \"time_psd\"),\n",
     "    alpha=0.5,\n",
     "    facecolor=\"C0\",\n",
     "    edgecolor=None,\n",
@@ -940,12 +950,12 @@
     {
      "data": {
       "text/plain": [
-       "[[<matplotlib.axis.XTick at 0x238f24af010>,\n",
-       "  <matplotlib.axis.XTick at 0x238f3bde790>,\n",
-       "  <matplotlib.axis.XTick at 0x238f406a590>,\n",
-       "  <matplotlib.axis.XTick at 0x238f4036e10>,\n",
-       "  <matplotlib.axis.XTick at 0x238f4441bd0>,\n",
-       "  <matplotlib.axis.XTick at 0x238f4443c90>],\n",
+       "[[<matplotlib.axis.XTick at 0x168e8276290>,\n",
+       "  <matplotlib.axis.XTick at 0x168e8274410>,\n",
+       "  <matplotlib.axis.XTick at 0x168e8502a90>,\n",
+       "  <matplotlib.axis.XTick at 0x168e82a1810>,\n",
+       "  <matplotlib.axis.XTick at 0x168e85ebfd0>,\n",
+       "  <matplotlib.axis.XTick at 0x168e8599950>],\n",
        " [Text(0.0, 0, '0'),\n",
        "  Text(1.0, 0, '1'),\n",
        "  Text(2.0, 0, '2'),\n",
@@ -964,7 +974,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 2 Axes>"
       ]
@@ -979,11 +989,11 @@
     "\n",
     "# Plot the decidecade sound pressure level\n",
     "fig, ax = plt.subplots(1, 2, figsize=(10, 4), constrained_layout=True)\n",
-    "fig, ax[0] = acoustics.graphics.plot_spectra(spl3.median(\"time\"), fmin, fmax, fig=fig, ax=ax[0], label=\"Median\")\n",
+    "fig, ax[0] = acoustics.graphics.plot_spectra(spl3.median(\"time_psd\"), fmin, fmax, fig=fig, ax=ax[0], label=\"Median\")\n",
     "ax[0].fill_between(\n",
     "    spl3[\"freq_bins\"],\n",
-    "    spl3.quantile(0.25, \"time\"),\n",
-    "    spl3.quantile(0.75, \"time\"),\n",
+    "    spl3.quantile(0.25, \"time_psd\"),\n",
+    "    spl3.quantile(0.75, \"time_psd\"),\n",
     "    alpha=0.5,\n",
     "    facecolor=\"C0\",\n",
     "    edgecolor=None,\n",
@@ -1033,14 +1043,22 @@
    "execution_count": 22,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\mcve343\\MHKiT-Python\\mhkit\\acoustics\\analysis.py:250: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=14400000 samples, pct_overlap=0.5).\n",
+      "  psd = binner.power_spectral_density(\n"
+     ]
+    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "<xarray.DataArray 'sel' (time: 1)> Size: 4B\n",
-      "array([136.9158], dtype=float32)\n",
+      "<xarray.DataArray 'sel' (time_psd: 1)> Size: 4B\n",
+      "array([139.87512], dtype=float32)\n",
       "Coordinates:\n",
-      "  * time     (time) datetime64[ns] 8B 2023-02-04T15:07:37.996495008\n",
+      "  * time_psd  (time_psd) datetime64[ns] 8B 2023-02-04T15:07:37.996495008\n",
       "Attributes:\n",
       "    units:             dB re 1 uPa^2 s\n",
       "    long_name:         Sound Exposure Level\n",
@@ -1051,12 +1069,12 @@
       "\n",
       "\n",
       "Data variables:\n",
-      "    sel      (time) float32 4B 136.9\n",
-      "    sel_lf   (time) float32 4B 136.1\n",
-      "    sel_hf   (time) float32 4B 133.6\n",
-      "    sel_vhf  (time) float32 4B 128.5\n",
-      "    sel_pw   (time) float32 4B 135.1\n",
-      "    sel_ow   (time) float32 4B 132.7\n"
+      "    sel      (time_psd) float32 4B 139.9\n",
+      "    sel_lf   (time_psd) float32 4B 139.1\n",
+      "    sel_hf   (time_psd) float32 4B 136.6\n",
+      "    sel_vhf  (time_psd) float32 4B 131.4\n",
+      "    sel_pw   (time_psd) float32 4B 138.0\n",
+      "    sel_ow   (time_psd) float32 4B 135.7\n"
      ]
     }
    ],
@@ -1097,10 +1115,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "<xarray.DataArray (time: 1)> Size: 4B\n",
-      "array([112.14459], dtype=float32)\n",
+      "<xarray.DataArray (time_psd: 1)> Size: 4B\n",
+      "array([115.10391], dtype=float32)\n",
       "Coordinates:\n",
-      "  * time     (time) datetime64[ns] 8B 2023-02-04T15:07:37.996495008\n",
+      "  * time_psd  (time_psd) datetime64[ns] 8B 2023-02-04T15:07:37.996495008\n",
       "Attributes:\n",
       "    units:            dB re 1 uPa\n",
       "    long_name:        Sound Pressure Level\n",
@@ -1129,7 +1147,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 700x400 with 2 Axes>"
       ]
diff --git a/examples/adcp_example.ipynb b/examples/adcp_example.ipynb
index 9bbcb220e..d6b021ed5 100644
--- a/examples/adcp_example.ipynb
+++ b/examples/adcp_example.ipynb
@@ -1,5541 +1,4764 @@
 {
- "cells": [
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Analyzing ADCP Data with MHKiT\n",
-    "\n",
-    "The following example illustrates a straightforward workflow for analyzing Acoustic Doppler Current Profiler (ADCP) data utilizing MHKiT. MHKiT has integrated the DOLfYN codebase as a module to facilitate ADCP and Acoustic Doppler Velocimetry (ADV) data processing.\n",
-    "\n",
-    "Here is a standard workflow for ADCP data analysis:\n",
-    "\n",
-    "1. **Import Data**\n",
-    "\n",
-    "2. **Review, QC, and Prepare the Raw Data**:\n",
-    "   1. Calculate or verify the correctness of depth bin locations\n",
-    "   2. Discard data recorded above the water surface or below the seafloor\n",
-    "   3. Assess the quality of velocity, beam amplitude, and/or beam correlation data\n",
-    "   4. Rotate Data Coordinate System\n",
-    "\n",
-    "3. **Data Averaging**: \n",
-    "    - If not already executed within the instrument, average the data into time bins of a predetermined duration, typically between 5 and 10 minutes\n",
-    "\n",
-    "4. **Speed and Direction**\n",
-    "\n",
-    "5. **Plotting**\n",
-    "\n",
-    "6. **Saving and Loading DOLfYN datasets**\n",
-    "\n",
-    "7. **Turbulence Statistics**\n",
-    "    1. Turbulence Intensity (TI)\n",
-    "    2. Power Spectral Densities\n",
-    "    3. Instrument Noise\n",
-    "    4. TKE Dissipation Rate\n",
-    "    5. Noise-corrected TI\n",
-    "    6. Reynolds stresses\n",
-    "    7. TKE Production\n",
-    "    8. TKE Balance \n",
-    "\n",
-    "\n",
-    "Begin your analysis by importing the requisite tools:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [],
-   "source": [
-    "from mhkit import dolfyn\n",
-    "from mhkit.dolfyn.adp import api\n",
-    "import matplotlib.pyplot as plt\n",
-    "import pandas as pd\n",
-    "import numpy as np"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "##  1. Importing Raw Instrument Data\n",
-    "\n",
-    "One of DOLfYN's key features is its ability to directly import raw data from an Acoustic Doppler Current Profiler (ADCP) right after it has been transferred. In this instance, we are using a Nortek Signature1000 ADCP, with the data stored in files with an '.ad2cp' extension. This specific dataset represents several hours of velocity data, captured at 1 Hz by an ADCP mounted on a bottom lander within a tidal inlet. The list of instruments compatible with DOLfYN can be found in the [MHKiT DOLfYN documentation](https://mhkit-software.github.io/MHKiT/mhkit-python/api.dolfyn.html).\n",
-    "\n",
-    "We'll start by importing the raw data file downloaded from the instrument. The `read` function processes the raw file and converts the information into an xarray Dataset. This Dataset includes several groups of variables:\n",
-    "\n",
-    "1. **Velocity**: Recorded in the coordinate system saved by the instrument (beam, XYZ, ENU)\n",
-    "2. **Beam Data**: Includes amplitude and correlation data\n",
-    "3. **Instrumental & Environmental Measurements**: Captures the instrument's bearing and environmental conditions\n",
-    "4. **Orientation Matrices**: Used by DOLfYN for rotating through different coordinate frames.\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
+  "cells": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Reading file data/dolfyn/Sig1000_tidal.ad2cp ...\n"
-     ]
-    }
-   ],
-   "source": [
-    "ds = dolfyn.read(\"data/dolfyn/Sig1000_tidal.ad2cp\")"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "There are two ways to see what's in a Dataset. The first is to simply type the dataset's name to see the standard xarray output. To access a particular variable in a dataset, use dict-style (`ds['vel']`) or attribute-style syntax (`ds.vel`). See the [xarray docs](http://xarray.pydata.org/en/stable/getting-started-guide/quick-overview.html) for more details on how to use the xarray format."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "# Analyzing ADCP Data with MHKiT\n",
+        "\n",
+        "The following example illustrates a straightforward workflow for analyzing Acoustic Doppler Current Profiler (ADCP) data utilizing MHKiT. MHKiT has integrated the DOLfYN codebase as a module to facilitate ADCP and Acoustic Doppler Velocimetry (ADV) data processing.\n",
+        "\n",
+        "Here is a standard workflow for ADCP data analysis:\n",
+        "\n",
+        "1. **Import Data**\n",
+        "\n",
+        "2. **Review, QC, and Prepare the Raw Data**:\n",
+        "   1. Calculate or verify the correctness of depth bin locations\n",
+        "   2. Discard data recorded above the water surface or below the seafloor\n",
+        "   3. Assess the quality of velocity, beam amplitude, and/or beam correlation data\n",
+        "   4. Rotate Data Coordinate System\n",
+        "\n",
+        "3. **Data Averaging**: \n",
+        "    - If not already executed within the instrument, average the data into time bins of a predetermined duration, typically between 5 and 10 minutes\n",
+        "\n",
+        "4. **Speed and Direction**\n",
+        "\n",
+        "5. **Plotting**\n",
+        "\n",
+        "6. **Saving and Loading DOLfYN datasets**\n",
+        "\n",
+        "7. **Turbulence Statistics**\n",
+        "    1. Turbulence Intensity (TI)\n",
+        "    2. Power Spectral Densities\n",
+        "    3. Instrument Noise\n",
+        "    4. TKE Dissipation Rate\n",
+        "    5. Noise-corrected TI\n",
+        "    6. Reynolds stresses\n",
+        "    7. TKE Production\n",
+        "    8. TKE Balance \n",
+        "\n",
+        "\n",
+        "Begin your analysis by importing the requisite tools:"
+      ]
+    },
     {
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-       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
-       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "</symbol>\n",
-       "</defs>\n",
-       "</svg>\n",
-       "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
-       "\n",
-       ":root {\n",
-       "  --xr-font-color0: var(\n",
-       "    --jp-content-font-color0,\n",
-       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
-       "  );\n",
-       "  --xr-font-color2: var(\n",
-       "    --jp-content-font-color2,\n",
-       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
-       "  );\n",
-       "  --xr-font-color3: var(\n",
-       "    --jp-content-font-color3,\n",
-       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
-       "  );\n",
-       "  --xr-border-color: var(\n",
-       "    --jp-border-color2,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
-       "  );\n",
-       "  --xr-disabled-color: var(\n",
-       "    --jp-layout-color3,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
-       "  );\n",
-       "  --xr-background-color: var(\n",
-       "    --jp-layout-color0,\n",
-       "    var(--pst-color-on-background, white)\n",
-       "  );\n",
-       "  --xr-background-color-row-even: var(\n",
-       "    --jp-layout-color1,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
-       "  );\n",
-       "  --xr-background-color-row-odd: var(\n",
-       "    --jp-layout-color2,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
-       "  );\n",
-       "}\n",
-       "\n",
-       "html[theme=\"dark\"],\n",
-       "html[data-theme=\"dark\"],\n",
-       "body[data-theme=\"dark\"],\n",
-       "body.vscode-dark {\n",
-       "  --xr-font-color0: var(\n",
-       "    --jp-content-font-color0,\n",
-       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
-       "  );\n",
-       "  --xr-font-color2: var(\n",
-       "    --jp-content-font-color2,\n",
-       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
-       "  );\n",
-       "  --xr-font-color3: var(\n",
-       "    --jp-content-font-color3,\n",
-       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
-       "  );\n",
-       "  --xr-border-color: var(\n",
-       "    --jp-border-color2,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
-       "  );\n",
-       "  --xr-disabled-color: var(\n",
-       "    --jp-layout-color3,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
-       "  );\n",
-       "  --xr-background-color: var(\n",
-       "    --jp-layout-color0,\n",
-       "    var(--pst-color-on-background, #111111)\n",
-       "  );\n",
-       "  --xr-background-color-row-even: var(\n",
-       "    --jp-layout-color1,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
-       "  );\n",
-       "  --xr-background-color-row-odd: var(\n",
-       "    --jp-layout-color2,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
-       "  );\n",
-       "}\n",
-       "\n",
-       ".xr-wrap {\n",
-       "  display: block !important;\n",
-       "  min-width: 300px;\n",
-       "  max-width: 700px;\n",
-       "  line-height: 1.6;\n",
-       "}\n",
-       "\n",
-       ".xr-text-repr-fallback {\n",
-       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-header {\n",
-       "  padding-top: 6px;\n",
-       "  padding-bottom: 6px;\n",
-       "  margin-bottom: 4px;\n",
-       "  border-bottom: solid 1px var(--xr-border-color);\n",
-       "}\n",
-       "\n",
-       ".xr-header > div,\n",
-       ".xr-header > ul {\n",
-       "  display: inline;\n",
-       "  margin-top: 0;\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type,\n",
-       ".xr-obj-name,\n",
-       ".xr-group-name {\n",
-       "  margin-left: 2px;\n",
-       "  margin-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-name::before {\n",
-       "  content: \"📁\";\n",
-       "  padding-right: 0.3em;\n",
-       "}\n",
-       "\n",
-       ".xr-group-name,\n",
-       ".xr-obj-type {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-sections {\n",
-       "  padding-left: 0 !important;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
-       "  margin-block-start: 0;\n",
-       "  margin-block-end: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input {\n",
-       "  display: inline-block;\n",
-       "  opacity: 0;\n",
-       "  height: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input + label {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "  border: 2px solid transparent !important;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label {\n",
-       "  cursor: pointer;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:focus + label {\n",
-       "  border: 2px solid var(--xr-font-color0) !important;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label:hover {\n",
-       "  color: var(--xr-font-color0);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary {\n",
-       "  grid-column: 1;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  font-weight: 500;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.5em;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in + label:before {\n",
-       "  display: inline-block;\n",
-       "  content: \"►\";\n",
-       "  font-size: 11px;\n",
-       "  width: 15px;\n",
-       "  text-align: center;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label:before {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label:before {\n",
-       "  content: \"▼\";\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary,\n",
-       ".xr-section-inline-details {\n",
-       "  padding-top: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-details {\n",
-       "  display: none;\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-top: 4px;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box {\n",
-       "  display: inline-grid;\n",
-       "  grid-template-columns: 0px 20px auto;\n",
-       "  width: 100%;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-vline {\n",
-       "  grid-column-start: 1;\n",
-       "  border-right: 0.2em solid;\n",
-       "  border-color: var(--xr-border-color);\n",
-       "  width: 0px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-hline {\n",
-       "  grid-column-start: 2;\n",
-       "  grid-row-start: 1;\n",
-       "  height: 1em;\n",
-       "  width: 20px;\n",
-       "  border-bottom: 0.2em solid;\n",
-       "  border-color: var(--xr-border-color);\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents {\n",
-       "  grid-column-start: 3;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: \"(\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: \")\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: \",\";\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  border-color: var(--xr-background-color-row-odd);\n",
-       "  margin-bottom: 0;\n",
-       "  padding-top: 2px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "  border-color: var(--xr-background-color-row-even);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  border-top: 2px dotted var(--xr-background-color);\n",
-       "  padding-bottom: 20px !important;\n",
-       "  padding-top: 10px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in + label,\n",
-       ".xr-var-data-in + label,\n",
-       ".xr-index-data-in + label {\n",
-       "  padding: 0 1px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > pre,\n",
-       ".xr-index-data > pre,\n",
-       ".xr-var-data > table > tbody > tr {\n",
-       "  background-color: transparent !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
-       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
-       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
-       "  color: var(--xr-font-color0);\n",
-       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
-       "  stroke-width: 0.8px;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 83MB\n",
-       "Dimensions:              (time: 55000, time_b5: 55000, range: 28, range_b5: 28,\n",
-       "                          beam: 4, dir: 4, dirIMU: 3, earth: 3, inst: 3, q: 4,\n",
-       "                          x1: 4, x2: 4)\n",
-       "Coordinates:\n",
-       "  * time                 (time) datetime64[ns] 440kB 2020-08-15T00:20:00.5009...\n",
-       "  * time_b5              (time_b5) datetime64[ns] 440kB 2020-08-15T00:20:00.4...\n",
-       "  * range                (range) float64 224B 0.6 1.1 1.6 2.1 ... 13.1 13.6 14.1\n",
-       "  * range_b5             (range_b5) float64 224B 0.6 1.1 1.6 ... 13.1 13.6 14.1\n",
-       "  * beam                 (beam) int32 16B 1 2 3 4\n",
-       "  * dir                  (dir) &lt;U2 32B &#x27;E&#x27; &#x27;N&#x27; &#x27;U1&#x27; &#x27;U2&#x27;\n",
-       "  * dirIMU               (dirIMU) &lt;U1 12B &#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;\n",
-       "  * earth                (earth) &lt;U1 12B &#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;\n",
-       "  * inst                 (inst) &lt;U1 12B &#x27;X&#x27; &#x27;Y&#x27; &#x27;Z&#x27;\n",
-       "  * q                    (q) &lt;U1 16B &#x27;w&#x27; &#x27;x&#x27; &#x27;y&#x27; &#x27;z&#x27;\n",
-       "  * x1                   (x1) int32 16B 1 2 3 4\n",
-       "  * x2                   (x2) int32 16B 1 2 3 4\n",
-       "Data variables: (12/38)\n",
-       "    c_sound              (time) float32 220kB 1.502e+03 1.502e+03 ... 1.498e+03\n",
-       "    temp                 (time) float32 220kB 14.55 14.55 14.55 ... 13.47 13.47\n",
-       "    pressure             (time) float32 220kB 9.713 9.718 9.718 ... 9.594 9.596\n",
-       "    mag                  (dirIMU, time) float32 660kB 72.5 72.7 ... -195.7\n",
-       "    accel                (dirIMU, time) float32 660kB -0.00479 ... 9.729\n",
-       "    batt                 (time) float32 220kB 16.6 16.6 16.6 ... 16.4 16.4 15.2\n",
-       "    ...                   ...\n",
-       "    telemetry_data       (time) uint8 55kB 0 0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0\n",
-       "    boost_running        (time) uint8 55kB 0 0 0 0 0 0 0 0 1 ... 1 0 0 0 0 0 0 1\n",
-       "    heading              (time) float32 220kB -12.52 -12.51 ... -12.52 -12.5\n",
-       "    pitch                (time) float32 220kB -0.065 -0.06 -0.06 ... -0.05 -0.05\n",
-       "    roll                 (time) float32 220kB -7.425 -7.42 -7.42 ... -6.45 -6.45\n",
-       "    beam2inst_orientmat  (x1, x2) float32 64B 1.183 0.0 -1.183 ... 0.0 0.5518\n",
-       "Attributes: (12/34)\n",
-       "    filehead_config:       {&quot;CLOCKSTR&quot;: {&quot;TIME&quot;: &quot;\\&quot;2020-08-13 13:56:21\\&quot;&quot;}, ...\n",
-       "    inst_model:            Signature1000\n",
-       "    inst_make:             Nortek\n",
-       "    inst_type:             ADCP\n",
-       "    burst_config:          {&quot;press_valid&quot;: true, &quot;temp_valid&quot;: true, &quot;compass...\n",
-       "    n_cells:               28\n",
-       "    ...                    ...\n",
-       "    proc_idle_less_12pct:  0\n",
-       "    rotate_vars:           [&#x27;vel&#x27;, &#x27;accel&#x27;, &#x27;accel_b5&#x27;, &#x27;angrt&#x27;, &#x27;angrt_b5&#x27;, ...\n",
-       "    coord_sys:             earth\n",
-       "    fs:                    1\n",
-       "    has_imu:               1\n",
-       "    beam_angle:            25</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f28a974d-02c1-4c0e-b0aa-35a34cb04614' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f28a974d-02c1-4c0e-b0aa-35a34cb04614' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 55000</li><li><span class='xr-has-index'>time_b5</span>: 55000</li><li><span class='xr-has-index'>range</span>: 28</li><li><span class='xr-has-index'>range_b5</span>: 28</li><li><span class='xr-has-index'>beam</span>: 4</li><li><span class='xr-has-index'>dir</span>: 4</li><li><span class='xr-has-index'>dirIMU</span>: 3</li><li><span class='xr-has-index'>earth</span>: 3</li><li><span class='xr-has-index'>inst</span>: 3</li><li><span class='xr-has-index'>q</span>: 4</li><li><span class='xr-has-index'>x1</span>: 4</li><li><span class='xr-has-index'>x2</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-73f6a664-08f3-4fbb-9c79-c107bd2e17a5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-73f6a664-08f3-4fbb-9c79-c107bd2e17a5' class='xr-section-summary' >Coordinates: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-08-15T00:20:00.500999927 .....</div><input id='attrs-2bf135d0-099b-454c-92c3-0fc84896aa43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2bf135d0-099b-454c-92c3-0fc84896aa43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b43dbf41-e9ef-4950-984f-d8f6138b0ddb' class='xr-var-data-in' type='checkbox'><label for='data-b43dbf41-e9ef-4950-984f-d8f6138b0ddb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-08-15T00:20:00.500999927&#x27;, &#x27;2020-08-15T00:20:01.501100063&#x27;,\n",
-       "       &#x27;2020-08-15T00:20:02.500999927&#x27;, ..., &#x27;2020-08-15T15:36:37.500999927&#x27;,\n",
-       "       &#x27;2020-08-15T15:36:38.500999927&#x27;, &#x27;2020-08-15T15:36:39.500999927&#x27;],\n",
-       "      shape=(55000,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-08-15T00:20:00.438499927 .....</div><input id='attrs-603893bf-5abc-410a-8c19-ef29f6982588' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-603893bf-5abc-410a-8c19-ef29f6982588' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c572de15-bf56-4083-bb69-eb0ea27440df' class='xr-var-data-in' type='checkbox'><label for='data-c572de15-bf56-4083-bb69-eb0ea27440df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd><dt><span>long_name :</span></dt><dd>Time b5</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-08-15T00:20:00.438499927&#x27;, &#x27;2020-08-15T00:20:01.438499927&#x27;,\n",
-       "       &#x27;2020-08-15T00:20:02.438499927&#x27;, ..., &#x27;2020-08-15T15:36:37.438499927&#x27;,\n",
-       "       &#x27;2020-08-15T15:36:38.438499927&#x27;, &#x27;2020-08-15T15:36:39.438499927&#x27;],\n",
-       "      shape=(55000,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.6 1.1 1.6 2.1 ... 13.1 13.6 14.1</div><input id='attrs-2a25848e-bb35-49a4-b9fb-672be8314b0d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a25848e-bb35-49a4-b9fb-672be8314b0d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d260546b-dc09-4642-9764-acbe5209a5bb' class='xr-var-data-in' type='checkbox'><label for='data-d260546b-dc09-4642-9764-acbe5209a5bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Profile Range</dd><dt><span>description :</span></dt><dd>Distance to the center of each depth bin</dd></dl></div><div class='xr-var-data'><pre>array([ 0.6,  1.1,  1.6,  2.1,  2.6,  3.1,  3.6,  4.1,  4.6,  5.1,  5.6,  6.1,\n",
-       "        6.6,  7.1,  7.6,  8.1,  8.6,  9.1,  9.6, 10.1, 10.6, 11.1, 11.6, 12.1,\n",
-       "       12.6, 13.1, 13.6, 14.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range_b5</span></div><div class='xr-var-dims'>(range_b5)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.6 1.1 1.6 2.1 ... 13.1 13.6 14.1</div><input id='attrs-6c42074c-a1d8-4c94-8018-7c1e5846fcbf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c42074c-a1d8-4c94-8018-7c1e5846fcbf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fb7f816-ba22-412a-a090-0d23c8c09ee0' class='xr-var-data-in' type='checkbox'><label for='data-7fb7f816-ba22-412a-a090-0d23c8c09ee0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Profile Range b5</dd><dt><span>description :</span></dt><dd>Distance to the center of each depth bin</dd></dl></div><div class='xr-var-data'><pre>array([ 0.6,  1.1,  1.6,  2.1,  2.6,  3.1,  3.6,  4.1,  4.6,  5.1,  5.6,  6.1,\n",
-       "        6.6,  7.1,  7.6,  8.1,  8.6,  9.1,  9.6, 10.1, 10.6, 11.1, 11.6, 12.1,\n",
-       "       12.6, 13.1, 13.6, 14.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beam</span></div><div class='xr-var-dims'>(beam)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-8f9f0671-99ea-4543-a37b-d94c1ac426d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f9f0671-99ea-4543-a37b-d94c1ac426d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5acdfbec-8b28-4849-8321-02b4f256cc65' class='xr-var-data-in' type='checkbox'><label for='data-5acdfbec-8b28-4849-8321-02b4f256cc65' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Beam Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dir</span></div><div class='xr-var-dims'>(dir)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;E&#x27; &#x27;N&#x27; &#x27;U1&#x27; &#x27;U2&#x27;</div><input id='attrs-fe64bed1-065d-4572-820c-a546674bc23b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe64bed1-065d-4572-820c-a546674bc23b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91cb97d1-6a16-4001-9fe4-7c770edad6a5' class='xr-var-data-in' type='checkbox'><label for='data-91cb97d1-6a16-4001-9fe4-7c770edad6a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>ref_frame :</span></dt><dd>earth</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U1&#x27;, &#x27;U2&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dirIMU</span></div><div class='xr-var-dims'>(dirIMU)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;</div><input id='attrs-a282b85b-1f3d-41db-9220-93b48867f2a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a282b85b-1f3d-41db-9220-93b48867f2a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37a55f67-7a4c-4fe9-8eb4-4e30a9092209' class='xr-var-data-in' type='checkbox'><label for='data-37a55f67-7a4c-4fe9-8eb4-4e30a9092209' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>ref_frame :</span></dt><dd>earth</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>earth</span></div><div class='xr-var-dims'>(earth)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;</div><input id='attrs-a9a65575-08ac-4c58-94a7-e351c187dcff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9a65575-08ac-4c58-94a7-e351c187dcff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27ad0f22-1689-4e27-85a9-03077cf5af87' class='xr-var-data-in' type='checkbox'><label for='data-27ad0f22-1689-4e27-85a9-03077cf5af87' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Earth Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>inst</span></div><div class='xr-var-dims'>(inst)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;X&#x27; &#x27;Y&#x27; &#x27;Z&#x27;</div><input id='attrs-69f85873-b714-4894-bcdf-1e1100f23400' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69f85873-b714-4894-bcdf-1e1100f23400' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81d1c39c-d2f5-46d2-8b2d-13206e10bed1' class='xr-var-data-in' type='checkbox'><label for='data-81d1c39c-d2f5-46d2-8b2d-13206e10bed1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Instrument Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;X&#x27;, &#x27;Y&#x27;, &#x27;Z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>q</span></div><div class='xr-var-dims'>(q)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;w&#x27; &#x27;x&#x27; &#x27;y&#x27; &#x27;z&#x27;</div><input id='attrs-a14bc8fc-bfb6-4a07-ae07-0c00765ca633' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a14bc8fc-bfb6-4a07-ae07-0c00765ca633' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3bd0f72c-78f5-4b0b-af0b-0b8a580840cb' class='xr-var-data-in' type='checkbox'><label for='data-3bd0f72c-78f5-4b0b-af0b-0b8a580840cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Quaternion Vector Components</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;w&#x27;, &#x27;x&#x27;, &#x27;y&#x27;, &#x27;z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x1</span></div><div class='xr-var-dims'>(x1)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-cc997752-660a-4a7e-92db-5dc162d10c73' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc997752-660a-4a7e-92db-5dc162d10c73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fccb9774-d78a-413b-b35e-56e61fa4fc88' class='xr-var-data-in' type='checkbox'><label for='data-fccb9774-d78a-413b-b35e-56e61fa4fc88' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x2</span></div><div class='xr-var-dims'>(x2)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-18671300-7253-40b7-b0f9-f82e20574edb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18671300-7253-40b7-b0f9-f82e20574edb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55b56463-9c00-4b38-a15f-b5bc9114fc0f' class='xr-var-data-in' type='checkbox'><label for='data-55b56463-9c00-4b38-a15f-b5bc9114fc0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b40bdc2f-5ba2-43b8-88e0-ab62a460bc56' class='xr-section-summary-in' type='checkbox'  ><label for='section-b40bdc2f-5ba2-43b8-88e0-ab62a460bc56' class='xr-section-summary' >Data variables: <span>(38)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>c_sound</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.502e+03 1.502e+03 ... 1.498e+03</div><input id='attrs-11d0c1f6-a1d8-414c-83fe-3e3c06a05ca7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11d0c1f6-a1d8-414c-83fe-3e3c06a05ca7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c481825-6aa6-41dc-9aa8-05b64183f645' class='xr-var-data-in' type='checkbox'><label for='data-3c481825-6aa6-41dc-9aa8-05b64183f645' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Speed of Sound</dd><dt><span>standard_name :</span></dt><dd>speed_of_sound_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([1501.9, 1501.9, 1501.9, ..., 1498.4, 1498.3, 1498.3],\n",
-       "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>14.55 14.55 14.55 ... 13.47 13.47</div><input id='attrs-276d2650-d81c-4c34-9775-78a2e2e1e367' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-276d2650-d81c-4c34-9775-78a2e2e1e367' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41ff6085-7e2b-4f24-9fd7-bb2485b84cf1' class='xr-var-data-in' type='checkbox'><label for='data-41ff6085-7e2b-4f24-9fd7-bb2485b84cf1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd></dl></div><div class='xr-var-data'><pre>array([14.55, 14.55, 14.55, ..., 13.47, 13.47, 13.47],\n",
-       "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.713 9.718 9.718 ... 9.594 9.596</div><input id='attrs-5d688586-aa74-4f0d-ad5e-fbd7d9488d60' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d688586-aa74-4f0d-ad5e-fbd7d9488d60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47260f77-e611-4f40-8321-6331a6f1564a' class='xr-var-data-in' type='checkbox'><label for='data-47260f77-e611-4f40-8321-6331a6f1564a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dbar</dd><dt><span>long_name :</span></dt><dd>Pressure</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd></dl></div><div class='xr-var-data'><pre>array([9.713, 9.718, 9.718, ..., 9.596, 9.594, 9.596],\n",
-       "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mag</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>72.5 72.7 72.6 ... -197.2 -195.7</div><input id='attrs-e6322c76-1557-4aa8-815e-7930d416ce20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6322c76-1557-4aa8-815e-7930d416ce20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3394cdc-3ef0-47f7-9e63-fb198b8e9f1c' class='xr-var-data-in' type='checkbox'><label for='data-b3394cdc-3ef0-47f7-9e63-fb198b8e9f1c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>uT</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Compass</dd></dl></div><div class='xr-var-data'><pre>array([[  72.5,   72.7,   72.6, ...,   72.3,   72.8,   72.4],\n",
-       "       [   9.3,    9.4,    8.9, ...,    5.9,    6.3,    6.4],\n",
-       "       [-198. , -196.3, -198.1, ..., -197.4, -197.2, -195.7]],\n",
-       "      shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>accel</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.00479 -0.01437 ... 9.685 9.729</div><input id='attrs-14a9fcb0-6690-4c66-9888-93437bec3f33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14a9fcb0-6690-4c66-9888-93437bec3f33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f26e634c-ad73-4b8e-8d60-0a562215bfed' class='xr-var-data-in' type='checkbox'><label for='data-f26e634c-ad73-4b8e-8d60-0a562215bfed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-2</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acceleration</dd></dl></div><div class='xr-var-data'><pre>array([[-4.7900393e-03, -1.4370117e-02, -2.3950195e-02, ...,\n",
-       "        -1.4370117e-02, -4.7900393e-03, -2.3950195e-02],\n",
-       "       [-1.2933105e+00, -1.2549902e+00, -1.2645704e+00, ...,\n",
-       "        -1.1017090e+00, -1.0873389e+00, -1.0969189e+00],\n",
-       "       [ 9.7285690e+00,  9.7141991e+00,  9.7237797e+00, ...,\n",
-       "         9.6710892e+00,  9.6854591e+00,  9.7285690e+00]],\n",
-       "      shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>batt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>16.6 16.6 16.6 ... 16.4 16.4 15.2</div><input id='attrs-ce4bd203-6f47-4d75-877f-b2d6458ffa2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce4bd203-6f47-4d75-877f-b2d6458ffa2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ff83154-4207-4313-9bea-3642e3d9693a' class='xr-var-data-in' type='checkbox'><label for='data-8ff83154-4207-4313-9bea-3642e3d9693a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>V</dd><dt><span>long_name :</span></dt><dd>Battery Voltage</dd><dt><span>standard_name :</span></dt><dd>battery_voltage</dd></dl></div><div class='xr-var-data'><pre>array([16.6, 16.6, 16.6, ..., 16.4, 16.4, 15.2],\n",
-       "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_clock</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>20.0 20.0 20.0 ... 19.5 19.5 19.5</div><input id='attrs-638397a6-8e5b-4462-b526-34e79ade8cdf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-638397a6-8e5b-4462-b526-34e79ade8cdf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a687b8c7-daa8-4804-9913-5308745abcff' class='xr-var-data-in' type='checkbox'><label for='data-a687b8c7-daa8-4804-9913-5308745abcff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Internal Clock Temperature</dd></dl></div><div class='xr-var-data'><pre>array([20. , 20. , 20. , ..., 19.5, 19.5, 19.5],\n",
-       "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>error</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-d5e19c7f-ae28-4acf-9f57-8ccf921b9bcf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5e19c7f-ae28-4acf-9f57-8ccf921b9bcf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1b22bf5-0482-46ba-add2-be69c364880c' class='xr-var-data-in' type='checkbox'><label for='data-d1b22bf5-0482-46ba-add2-be69c364880c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Error Code</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(55000,), dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>1053556738 ... 1053557762</div><input id='attrs-6343e252-273c-431b-823b-eb2bde09e714' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6343e252-273c-431b-823b-eb2bde09e714' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3397a186-35a2-46ac-a040-b32afaf9a17e' class='xr-var-data-in' type='checkbox'><label for='data-3397a186-35a2-46ac-a040-b32afaf9a17e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Status Code</dd></dl></div><div class='xr-var-data'><pre>array([1053556738, 1053556738, 1053556738, ..., 1053556738, 1053556738,\n",
-       "       1053557762], shape=(55000,), dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ensemble</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>1 2 3 4 ... 54997 54998 54999 55000</div><input id='attrs-5bc2999c-15fc-4cb5-94a4-67caadb4c7af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5bc2999c-15fc-4cb5-94a4-67caadb4c7af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7569e9e-c73e-4915-9ec2-524b7fab94ff' class='xr-var-data-in' type='checkbox'><label for='data-a7569e9e-c73e-4915-9ec2-524b7fab94ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>#</dd><dt><span>long_name :</span></dt><dd>Ensemble Number</dd><dt><span>standard_name :</span></dt><dd>number_of_observations</dd></dl></div><div class='xr-var-data'><pre>array([    1,     2,     3, ..., 54998, 54999, 55000],\n",
-       "      shape=(55000,), dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vel</span></div><div class='xr-var-dims'>(dir, range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.015 -0.048 ... -0.015 -0.012</div><input id='attrs-7fe81551-7fd9-44c5-8f10-a69e53b22908' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7fe81551-7fd9-44c5-8f10-a69e53b22908' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48264037-1850-4629-940b-afe003baed01' class='xr-var-data-in' type='checkbox'><label for='data-48264037-1850-4629-940b-afe003baed01' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Water Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[-0.015, -0.048,  0.008, ..., -0.176, -0.071, -0.027],\n",
-       "        [-0.093, -0.124, -0.031, ..., -0.175, -0.16 , -0.03 ],\n",
-       "        [-0.163, -0.135, -0.105, ..., -0.129, -0.089, -0.116],\n",
-       "        ...,\n",
-       "        [-0.169, -0.013, -0.124, ..., -0.062,  0.091, -0.009],\n",
-       "        [-0.16 , -0.043, -0.111, ...,  0.012,  0.089,  0.021],\n",
-       "        [-0.158, -0.057, -0.13 , ..., -0.055,  0.104,  0.013]],\n",
-       "\n",
-       "       [[ 0.243,  0.204,  0.234, ..., -0.163, -0.135, -0.18 ],\n",
-       "        [ 0.272,  0.248,  0.236, ..., -0.254, -0.169, -0.204],\n",
-       "        [ 0.257,  0.294,  0.333, ..., -0.299, -0.226, -0.273],\n",
-       "        ...,\n",
-       "        [ 0.305,  0.377,  0.283, ..., -0.198, -0.229, -0.121],\n",
-       "        [ 0.328,  0.33 ,  0.294, ..., -0.161, -0.292, -0.103],\n",
-       "        [ 0.31 ,  0.314,  0.226, ..., -0.219, -0.292, -0.049]],\n",
-       "\n",
-       "       [[ 0.016,  0.012,  0.01 , ...,  0.009,  0.006, -0.018],\n",
-       "        [ 0.01 ,  0.011, -0.013, ...,  0.002, -0.027,  0.009],\n",
-       "        [ 0.01 ,  0.009,  0.023, ..., -0.018, -0.002, -0.024],\n",
-       "        ...,\n",
-       "        [ 0.034, -0.061, -0.024, ..., -0.014,  0.086,  0.01 ],\n",
-       "        [ 0.032, -0.04 , -0.027, ..., -0.014,  0.063, -0.01 ],\n",
-       "        [ 0.004, -0.037, -0.018, ..., -0.001,  0.059,  0.021]],\n",
-       "\n",
-       "       [[ 0.003, -0.007,  0.046, ..., -0.032, -0.008, -0.029],\n",
-       "        [ 0.017,  0.033,  0.035, ..., -0.016, -0.022, -0.034],\n",
-       "        [ 0.016, -0.012,  0.005, ...,  0.002, -0.045, -0.026],\n",
-       "        ...,\n",
-       "        [-0.044,  0.015, -0.04 , ..., -0.015,  0.006,  0.012],\n",
-       "        [-0.013,  0.014, -0.032, ...,  0.01 ,  0.   , -0.015],\n",
-       "        [ 0.007,  0.016, -0.027, ..., -0.002, -0.015, -0.012]]],\n",
-       "      shape=(4, 28, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>amp</span></div><div class='xr-var-dims'>(beam, range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>81.0 80.0 80.5 ... 43.5 42.5 42.0</div><input id='attrs-6a311971-8539-4391-959b-5a2e29c55984' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a311971-8539-4391-959b-5a2e29c55984' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72821c48-0bc3-4a04-a089-cc29f3bd3eeb' class='xr-var-data-in' type='checkbox'><label for='data-72821c48-0bc3-4a04-a089-cc29f3bd3eeb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Amplitude</dd><dt><span>standard_name :</span></dt><dd>signal_intensity_from_multibeam_acoustic_doppler_velocity_sensor_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([[[81. , 80. , 80.5, ..., 81.5, 81.5, 81.5],\n",
-       "        [75. , 74.5, 75. , ..., 79. , 77. , 77.5],\n",
-       "        [73.5, 72. , 72. , ..., 75. , 74.5, 75. ],\n",
-       "        ...,\n",
-       "        [54.5, 55.5, 54.5, ..., 50. , 50. , 49.5],\n",
-       "        [53.5, 54.5, 54.5, ..., 46.5, 47. , 46.5],\n",
-       "        [53. , 54. , 53. , ..., 45. , 46. , 44.5]],\n",
-       "\n",
-       "       [[81.5, 80. , 80.5, ..., 82. , 81.5, 82. ],\n",
-       "        [76. , 77. , 76.5, ..., 79. , 77.5, 77.5],\n",
-       "        [73.5, 74. , 73. , ..., 75.5, 74.5, 74.5],\n",
-       "        ...,\n",
-       "        [57. , 58.5, 58. , ..., 53.5, 52. , 52.5],\n",
-       "        [55.5, 56.5, 55.5, ..., 50. , 49. , 49. ],\n",
-       "        [52.5, 54. , 54. , ..., 47.5, 47.5, 47. ]],\n",
-       "\n",
-       "       [[80.5, 79.5, 80. , ..., 81.5, 82.5, 81.5],\n",
-       "        [76. , 75.5, 75. , ..., 77. , 78.5, 77. ],\n",
-       "        [72. , 73.5, 72. , ..., 74. , 75. , 73.5],\n",
-       "        ...,\n",
-       "        [56.5, 56.5, 57. , ..., 47.5, 47. , 48. ],\n",
-       "        [56. , 55.5, 56.5, ..., 46.5, 47. , 47. ],\n",
-       "        [54.5, 54. , 55.5, ..., 45. , 45.5, 45.5]],\n",
-       "\n",
-       "       [[80. , 81. , 80. , ..., 81. , 81. , 81.5],\n",
-       "        [75.5, 75.5, 74.5, ..., 76.5, 76.5, 77.5],\n",
-       "        [73. , 72.5, 73. , ..., 75.5, 74.5, 74. ],\n",
-       "        ...,\n",
-       "        [51.5, 51. , 51. , ..., 46. , 46. , 45. ],\n",
-       "        [51. , 50. , 51. , ..., 45. , 44. , 43.5],\n",
-       "        [50.5, 49.5, 50. , ..., 43.5, 42.5, 42. ]]],\n",
-       "      shape=(4, 28, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>corr</span></div><div class='xr-var-dims'>(beam, range, time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>100 91 91 97 99 ... 96 98 98 98 96</div><input id='attrs-56aad773-9465-4433-bb11-a09cfcd4df6d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56aad773-9465-4433-bb11-a09cfcd4df6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8543c267-4dac-4f97-8328-ebb8ff57392b' class='xr-var-data-in' type='checkbox'><label for='data-8543c267-4dac-4f97-8328-ebb8ff57392b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>%</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Correlation</dd><dt><span>standard_name :</span></dt><dd>beam_consistency_indicator_from_multibeam_acoustic_doppler_velocity_profiler_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([[[100,  91,  91, ...,  89,  90,  96],\n",
-       "        [ 74,  92,  96, ..., 100,  97, 100],\n",
-       "        [100, 100,  99, ...,  99, 100, 100],\n",
-       "        ...,\n",
-       "        [ 99, 100, 100, ...,  96,  96,  99],\n",
-       "        [ 99,  97, 100, ...,  94,  97,  96],\n",
-       "        [ 98, 100, 100, ..., 100, 100,  98]],\n",
-       "\n",
-       "       [[ 94,  90,  89, ...,  91,  92,  90],\n",
-       "        [ 94, 100, 100, ...,  96, 100,  93],\n",
-       "        [ 99,  95,  97, ...,  98,  98, 100],\n",
-       "        ...,\n",
-       "        [100, 100, 100, ...,  98,  99, 100],\n",
-       "        [ 99, 100,  99, ...,  97,  94,  94],\n",
-       "        [ 96,  99,  96, ...,  97, 100,  97]],\n",
-       "\n",
-       "       [[ 92,  93,  93, ...,  93,  97,  89],\n",
-       "        [ 99, 100,  99, ...,  96,  88,  98],\n",
-       "        [ 97, 100,  98, ..., 100,  99,  97],\n",
-       "        ...,\n",
-       "        [100, 100,  99, ...,  97,  94,  95],\n",
-       "        [100, 100, 100, ...,  96, 100, 100],\n",
-       "        [100, 100, 100, ...,  96,  95,  94]],\n",
-       "\n",
-       "       [[ 87,  97,  87, ...,  91,  87,  90],\n",
-       "        [100,  93,  93, ...,  96,  96,  97],\n",
-       "        [100, 100, 100, ..., 100, 100,  97],\n",
-       "        ...,\n",
-       "        [100,  99,  96, ...,  98, 100, 100],\n",
-       "        [100, 100, 100, ...,  94,  93,  95],\n",
-       "        [100,  98,  99, ...,  98,  98,  96]]],\n",
-       "      shape=(4, 28, 55000), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientmat</span></div><div class='xr-var-dims'>(earth, inst, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.2167 -0.2164 ... 0.9937 0.9937</div><input id='attrs-9b9c2cc3-8d21-4715-9999-c6d82daf0381' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b9c2cc3-8d21-4715-9999-c6d82daf0381' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-370f5f57-f122-4594-b089-ec9ae3c4b3aa' class='xr-var-data-in' type='checkbox'><label for='data-370f5f57-f122-4594-b089-ec9ae3c4b3aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Orientation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[[-2.16688156e-01, -2.16397047e-01, -2.16593146e-01, ...,\n",
-       "         -2.16118217e-01, -2.16699123e-01, -2.16318965e-01],\n",
-       "        [ 9.76196468e-01,  9.76219118e-01,  9.76202846e-01, ...,\n",
-       "          9.76315439e-01,  9.76210594e-01,  9.76245522e-01],\n",
-       "        [-1.22870505e-03, -1.20262802e-03, -1.17563456e-03, ...,\n",
-       "         -1.16243958e-03, -1.02279335e-03, -9.55920666e-04]],\n",
-       "\n",
-       "       [[-9.67970312e-01, -9.68004048e-01, -9.67982769e-01, ...,\n",
-       "         -9.70095694e-01, -9.69992876e-01, -9.70033050e-01],\n",
-       "        [-2.15024590e-01, -2.14734554e-01, -2.14924574e-01, ...,\n",
-       "         -2.14874983e-01, -2.15436578e-01, -2.15052128e-01],\n",
-       "        [-1.29278094e-01, -1.29190803e-01, -1.29239410e-01, ...,\n",
-       "         -1.12442717e-01, -1.12462208e-01, -1.12422116e-01]],\n",
-       "\n",
-       "       [[-1.26469478e-01, -1.26385525e-01, -1.26422524e-01, ...,\n",
-       "         -1.10033900e-01, -1.10009573e-01, -1.09963998e-01],\n",
-       "        [-2.68291458e-02, -2.68030688e-02, -2.68616974e-02, ...,\n",
-       "         -2.31788009e-02, -2.33813375e-02, -2.34001204e-02],\n",
-       "        [ 9.91607308e-01,  9.91618454e-01,  9.91612315e-01, ...,\n",
-       "          9.93657291e-01,  9.93655324e-01,  9.93659675e-01]]],\n",
-       "      shape=(3, 3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angrt</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.001953 -0.001953 ... -0.00293</div><input id='attrs-777fa3a5-705e-4db6-8040-d98d483332a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-777fa3a5-705e-4db6-8040-d98d483332a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1832c48-85c6-4601-9fd1-5a6d47409bb7' class='xr-var-data-in' type='checkbox'><label for='data-f1832c48-85c6-4601-9fd1-5a6d47409bb7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>rad s-1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Angular Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[-0.00195312, -0.00195312, -0.00195312, ..., -0.00390625,\n",
-       "        -0.00292969, -0.00195312],\n",
-       "       [ 0.00097656,  0.        ,  0.        , ...,  0.        ,\n",
-       "         0.00097656,  0.00097656],\n",
-       "       [-0.00292969, -0.00292969, -0.00292969, ..., -0.00292969,\n",
-       "        -0.00195312, -0.00292969]], shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quaternions</span></div><div class='xr-var-dims'>(q, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.6245 0.6245 ... 0.7787 0.7786</div><input id='attrs-b3df1677-f6ee-4361-9744-d264f633c86d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3df1677-f6ee-4361-9744-d264f633c86d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0922c989-b7fb-402e-b5da-d2bb0d2c1cf7' class='xr-var-data-in' type='checkbox'><label for='data-0922c989-b7fb-402e-b5da-d2bb0d2c1cf7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Quaternions</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.6244507 ,  0.62454224,  0.6244812 , ...,  0.625     ,\n",
-       "         0.6247864 ,  0.62490845],\n",
-       "       [-0.04101562, -0.04098511, -0.04098511, ..., -0.03570557,\n",
-       "        -0.03564453, -0.03561401],\n",
-       "       [-0.05014038, -0.05010986, -0.05014038, ..., -0.04354858,\n",
-       "        -0.04360962, -0.04360962],\n",
-       "       [ 0.77835083,  0.7782593 ,  0.7783203 , ...,  0.77856445,\n",
-       "         0.77874756,  0.7786255 ]], shape=(4, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_press</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>12.8 12.8 12.8 ... 12.0 12.0 12.0</div><input id='attrs-369b7ac7-3c76-4829-bd5a-e24553418a5c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-369b7ac7-3c76-4829-bd5a-e24553418a5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca75ac4f-4c6f-4bf2-9533-9288632ae70f' class='xr-var-data-in' type='checkbox'><label for='data-ca75ac4f-4c6f-4bf2-9533-9288632ae70f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Pressure Sensor Temperature</dd></dl></div><div class='xr-var-data'><pre>array([12.8, 12.8, 12.8, ..., 12. , 12. , 12. ],\n",
-       "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xmit_energy</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>243 243 243 244 ... 246 246 246 246</div><input id='attrs-9f0ad4f2-aaa7-42b0-917b-c9f7c5b115c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f0ad4f2-aaa7-42b0-917b-c9f7c5b115c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ce54ca4-b578-404d-84f7-cbf3032c8853' class='xr-var-data-in' type='checkbox'><label for='data-7ce54ca4-b578-404d-84f7-cbf3032c8853' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Sound Pressure Level of Acoustic Signal</dd></dl></div><div class='xr-var-data'><pre>array([243, 243, 243, ..., 246, 246, 246], shape=(55000,), dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mag_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>72.9 72.8 72.4 ... -198.0 -195.7</div><input id='attrs-6e7cb7a1-075d-4116-af50-af4ebeb85739' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e7cb7a1-075d-4116-af50-af4ebeb85739' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d97d916-ae98-48c8-a287-d25c690a0daf' class='xr-var-data-in' type='checkbox'><label for='data-4d97d916-ae98-48c8-a287-d25c690a0daf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>uT</dd><dt><span>long_name :</span></dt><dd>Compass</dd></dl></div><div class='xr-var-data'><pre>array([[  72.9,   72.8,   72.4, ...,   73. ,   73. ,   72.7],\n",
-       "       [   9.5,    9.5,    9.8, ...,    6. ,    6.4,    5.9],\n",
-       "       [-197.1, -197.2, -197.7, ..., -197.4, -198. , -195.7]],\n",
-       "      shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>accel_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.01437 0.0 ... 9.709 9.724</div><input id='attrs-f403d93b-53cf-4afb-8397-8afdcf14e667' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f403d93b-53cf-4afb-8397-8afdcf14e667' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8492deda-94a2-4ba0-9972-e35a250f6ed3' class='xr-var-data-in' type='checkbox'><label for='data-8492deda-94a2-4ba0-9972-e35a250f6ed3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>m s-2</dd><dt><span>long_name :</span></dt><dd>Acceleration</dd></dl></div><div class='xr-var-data'><pre>array([[-1.4370117e-02,  0.0000000e+00, -1.4370117e-02, ...,\n",
-       "        -4.7900393e-03, -1.9160157e-02, -1.4370117e-02],\n",
-       "       [-1.2693603e+00, -1.2885205e+00, -1.2837305e+00, ...,\n",
-       "        -1.0825489e+00, -1.1017090e+00, -1.1064991e+00],\n",
-       "       [ 9.7189894e+00,  9.7046194e+00,  9.7094088e+00, ...,\n",
-       "         9.7141991e+00,  9.7094088e+00,  9.7237797e+00]],\n",
-       "      shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>error_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-8753e491-8667-4bdc-85f3-06c43ba85c61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8753e491-8667-4bdc-85f3-06c43ba85c61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3643a4a9-9e2e-427e-893c-d7c598d80254' class='xr-var-data-in' type='checkbox'><label for='data-3643a4a9-9e2e-427e-893c-d7c598d80254' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Error Code</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(55000,), dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>1053556738 ... 1053557762</div><input id='attrs-193f34be-d8d4-4977-a71f-bb63445659b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-193f34be-d8d4-4977-a71f-bb63445659b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ae9e849-6118-49a4-b4db-ebbc4bcf4eac' class='xr-var-data-in' type='checkbox'><label for='data-1ae9e849-6118-49a4-b4db-ebbc4bcf4eac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Status Code</dd></dl></div><div class='xr-var-data'><pre>array([1053556738, 1053556738, 1053556738, ..., 1053556738, 1053556738,\n",
-       "       1053557762], shape=(55000,), dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ensemble_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>1 2 3 4 ... 54997 54998 54999 55000</div><input id='attrs-bac83806-7e0d-4f0c-ae41-d3838df691c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bac83806-7e0d-4f0c-ae41-d3838df691c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03de88eb-7398-4de1-90b2-529099f32800' class='xr-var-data-in' type='checkbox'><label for='data-03de88eb-7398-4de1-90b2-529099f32800' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>#</dd><dt><span>long_name :</span></dt><dd>Ensemble Number</dd><dt><span>standard_name :</span></dt><dd>number_of_observations</dd></dl></div><div class='xr-var-data'><pre>array([    1,     2,     3, ..., 54998, 54999, 55000],\n",
-       "      shape=(55000,), dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vel_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.003 0.021 0.018 ... -0.048 0.09</div><input id='attrs-62c5f014-9241-42d8-ad8b-134f3b0c2f25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62c5f014-9241-42d8-ad8b-134f3b0c2f25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97cfe342-8196-4402-ba27-a1c80696ed1e' class='xr-var-data-in' type='checkbox'><label for='data-97cfe342-8196-4402-ba27-a1c80696ed1e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Water Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.003,  0.021,  0.018, ...,  0.   , -0.044,  0.009],\n",
-       "       [ 0.057,  0.034,  0.017, ...,  0.01 ,  0.001, -0.002],\n",
-       "       [ 0.039,  0.022,  0.02 , ...,  0.039, -0.008,  0.018],\n",
-       "       ...,\n",
-       "       [-0.036, -0.013,  0.058, ...,  0.058, -0.013,  0.028],\n",
-       "       [-0.043, -0.009,  0.028, ...,  0.092, -0.021,  0.019],\n",
-       "       [-0.073,  0.003,  0.   , ...,  0.049, -0.048,  0.09 ]],\n",
-       "      shape=(28, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>amp_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>80.5 80.5 80.0 ... 46.5 46.0 47.5</div><input id='attrs-4cc9ef2a-f41a-4ab0-9776-aa0ad0ea04d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4cc9ef2a-f41a-4ab0-9776-aa0ad0ea04d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-acdc68ed-ef5f-4caa-a112-66b2593f4492' class='xr-var-data-in' type='checkbox'><label for='data-acdc68ed-ef5f-4caa-a112-66b2593f4492' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Amplitude</dd><dt><span>standard_name :</span></dt><dd>signal_intensity_from_multibeam_acoustic_doppler_velocity_sensor_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([[80.5, 80.5, 80. , ..., 82. , 81.5, 81. ],\n",
-       "       [75.5, 76.5, 76. , ..., 78.5, 78. , 77.5],\n",
-       "       [72.5, 73.5, 73.5, ..., 75. , 76.5, 75.5],\n",
-       "       ...,\n",
-       "       [57.5, 57.5, 57. , ..., 49. , 49. , 48.5],\n",
-       "       [56.5, 57. , 56. , ..., 47.5, 48. , 48. ],\n",
-       "       [55.5, 55.5, 55. , ..., 46.5, 46. , 47.5]],\n",
-       "      shape=(28, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>corr_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>98 100 92 93 98 ... 100 99 94 100</div><input id='attrs-76a59e93-8a68-4c75-9552-dc6c6546a3b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76a59e93-8a68-4c75-9552-dc6c6546a3b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b472c615-dea5-49b7-a2ee-7540f0a413d1' class='xr-var-data-in' type='checkbox'><label for='data-b472c615-dea5-49b7-a2ee-7540f0a413d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Correlation</dd><dt><span>standard_name :</span></dt><dd>beam_consistency_indicator_from_multibeam_acoustic_doppler_velocity_profiler_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([[ 98, 100,  92, ...,  88,  90,  91],\n",
-       "       [ 97,  94,  98, ...,  97,  95,  97],\n",
-       "       [100, 100, 100, ...,  93, 100,  96],\n",
-       "       ...,\n",
-       "       [100, 100, 100, ..., 100, 100,  98],\n",
-       "       [100, 100, 100, ...,  99, 100,  98],\n",
-       "       [100, 100, 100, ...,  99,  94, 100]],\n",
-       "      shape=(28, 55000), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientmat_b5</span></div><div class='xr-var-dims'>(earth, inst, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.2167 -0.2165 ... 0.9937 0.9937</div><input id='attrs-c18e2035-c4f9-45f7-ac74-820e5d113539' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c18e2035-c4f9-45f7-ac74-820e5d113539' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-056471b0-c180-4158-8790-a13facc490cc' class='xr-var-data-in' type='checkbox'><label for='data-056471b0-c180-4158-8790-a13facc490cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Orientation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[[-2.16694236e-01, -2.16498137e-01, -2.16593146e-01, ...,\n",
-       "         -2.16118217e-01, -2.16699123e-01, -2.16318965e-01],\n",
-       "        [-9.67967808e-01, -9.68039632e-01, -9.68030274e-01, ...,\n",
-       "         -9.70095694e-01, -9.69992876e-01, -9.70033050e-01],\n",
-       "        [-1.26507595e-01, -1.26426160e-01, -1.26425594e-01, ...,\n",
-       "         -1.10033900e-01, -1.10009573e-01, -1.09963998e-01]],\n",
-       "\n",
-       "       [[ 9.76198971e-01,  9.76259708e-01,  9.76250350e-01, ...,\n",
-       "          9.76315439e-01,  9.76210594e-01,  9.76245522e-01],\n",
-       "        [-2.15024590e-01, -2.14829564e-01, -2.14924574e-01, ...,\n",
-       "         -2.14874983e-01, -2.15436578e-01, -2.15052128e-01],\n",
-       "        [-2.68766508e-02, -2.68536285e-02, -2.68591940e-02, ...,\n",
-       "         -2.31788009e-02, -2.33813375e-02, -2.34001204e-02]],\n",
-       "\n",
-       "       [[-1.19058788e-03, -1.16700679e-03, -1.17257237e-03, ...,\n",
-       "         -1.16243958e-03, -1.02279335e-03, -9.55920666e-04],\n",
-       "        [-1.29325598e-01, -1.29241347e-01, -1.29241914e-01, ...,\n",
-       "         -1.12442717e-01, -1.12462208e-01, -1.12422116e-01],\n",
-       "        [ 9.91601229e-01,  9.91612315e-01,  9.91612315e-01, ...,\n",
-       "          9.93657291e-01,  9.93655324e-01,  9.93659675e-01]]],\n",
-       "      shape=(3, 3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angrt_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.001953 -0.001953 ... -0.001953</div><input id='attrs-939e8beb-5806-47c7-bbac-a5b77d8d2d5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-939e8beb-5806-47c7-bbac-a5b77d8d2d5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c11138d-4e5f-4e3c-b8f3-bac261b7e7cb' class='xr-var-data-in' type='checkbox'><label for='data-3c11138d-4e5f-4e3c-b8f3-bac261b7e7cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>rad s-1</dd><dt><span>long_name :</span></dt><dd>Angular Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[-0.00195312, -0.00195312, -0.00195312, ..., -0.00097656,\n",
-       "        -0.00195312, -0.00390625],\n",
-       "       [ 0.        ,  0.        ,  0.00097656, ...,  0.00097656,\n",
-       "         0.        ,  0.00097656],\n",
-       "       [-0.00292969, -0.00292969, -0.00292969, ..., -0.00292969,\n",
-       "        -0.00292969, -0.00195312]], shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quaternions_b5</span></div><div class='xr-var-dims'>(q, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.6245 0.6245 ... 0.7787 0.7786</div><input id='attrs-9b0ac6e1-bea8-4307-9dc7-9863e4b221ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b0ac6e1-bea8-4307-9dc7-9863e4b221ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f43d76ae-75fc-43b6-97f7-e76dcaa21183' class='xr-var-data-in' type='checkbox'><label for='data-f43d76ae-75fc-43b6-97f7-e76dcaa21183' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Quaternions</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.6244507 ,  0.62454224,  0.6245117 , ...,  0.625     ,\n",
-       "         0.6247864 ,  0.62490845],\n",
-       "       [-0.04101562, -0.04098511, -0.04098511, ..., -0.03570557,\n",
-       "        -0.03564453, -0.03561401],\n",
-       "       [-0.0501709 , -0.05014038, -0.05014038, ..., -0.04354858,\n",
-       "        -0.04360962, -0.04360962],\n",
-       "       [ 0.77835083,  0.7782898 ,  0.7783203 , ...,  0.77856445,\n",
-       "         0.77874756,  0.7786255 ]], shape=(4, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xmit_energy_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>65 65 65 65 65 ... 65 65 65 65 65</div><input id='attrs-7509e529-273f-4169-9c6c-138a57766fde' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7509e529-273f-4169-9c6c-138a57766fde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e92d63e-8f07-41a5-b463-5e374259309c' class='xr-var-data-in' type='checkbox'><label for='data-0e92d63e-8f07-41a5-b463-5e374259309c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Sound Pressure Level of Acoustic Signal</dd></dl></div><div class='xr-var-data'><pre>array([65, 65, 65, ..., 65, 65, 65], shape=(55000,), dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>low_volt_skip</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-53521fd9-798b-4a9c-b11c-d52775a96263' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-53521fd9-798b-4a9c-b11c-d52775a96263' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f11ec6fb-60b9-4bd8-b625-51f371434f74' class='xr-var-data-in' type='checkbox'><label for='data-f11ec6fb-60b9-4bd8-b625-51f371434f74' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(55000,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>active_config</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-a8944bce-70c7-436a-91bb-c4abb1fd9507' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a8944bce-70c7-436a-91bb-c4abb1fd9507' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bcf6f94-248e-459c-b751-fabed7292479' class='xr-var-data-in' type='checkbox'><label for='data-7bcf6f94-248e-459c-b751-fabed7292479' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(55000,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>telemetry_data</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-6757c338-4e8c-4dc9-b50e-1bbe018e9825' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6757c338-4e8c-4dc9-b50e-1bbe018e9825' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e3b3997-2deb-4ece-ba76-3daf7370642f' class='xr-var-data-in' type='checkbox'><label for='data-0e3b3997-2deb-4ece-ba76-3daf7370642f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(55000,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>boost_running</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 1 0 0 0 0 0 0 1</div><input id='attrs-0c05add4-068c-49a7-9ac2-3704a77417e8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0c05add4-068c-49a7-9ac2-3704a77417e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df4fa6f3-587c-4280-a100-85a4e60f465e' class='xr-var-data-in' type='checkbox'><label for='data-df4fa6f3-587c-4280-a100-85a4e60f465e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 1], shape=(55000,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heading</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-12.52 -12.51 ... -12.52 -12.5</div><input id='attrs-331cc7f8-0610-4c67-9d3e-515fc3d73aee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-331cc7f8-0610-4c67-9d3e-515fc3d73aee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-561108d0-676b-4d20-96ef-3b87a24bcc0b' class='xr-var-data-in' type='checkbox'><label for='data-561108d0-676b-4d20-96ef-3b87a24bcc0b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Heading</dd><dt><span>standard_name :</span></dt><dd>platform_orientation</dd></dl></div><div class='xr-var-data'><pre>array([-12.52    , -12.505001, -12.51    , ..., -12.490002, -12.52    ,\n",
-       "       -12.500001], shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pitch</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.065 -0.06 -0.06 ... -0.05 -0.05</div><input id='attrs-0f345601-b07b-474e-a2a0-49a2ec0708f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f345601-b07b-474e-a2a0-49a2ec0708f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4cfc3192-7bda-4cec-a282-6c400ee02a2e' class='xr-var-data-in' type='checkbox'><label for='data-4cfc3192-7bda-4cec-a282-6c400ee02a2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Pitch</dd><dt><span>standard_name :</span></dt><dd>platform_pitch</dd></dl></div><div class='xr-var-data'><pre>array([-0.065, -0.06 , -0.06 , ..., -0.06 , -0.05 , -0.05 ],\n",
-       "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>roll</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.425 -7.42 -7.42 ... -6.45 -6.45</div><input id='attrs-45ec3d74-0628-4889-a8fb-529b86508120' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45ec3d74-0628-4889-a8fb-529b86508120' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5daaec6-28f0-4f8d-93a6-a5b68f6598c3' class='xr-var-data-in' type='checkbox'><label for='data-c5daaec6-28f0-4f8d-93a6-a5b68f6598c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Roll</dd><dt><span>standard_name :</span></dt><dd>platform_roll</dd></dl></div><div class='xr-var-data'><pre>array([-7.4250007, -7.42     , -7.42     , ..., -6.45     , -6.45     ,\n",
-       "       -6.45     ], shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beam2inst_orientmat</span></div><div class='xr-var-dims'>(x1, x2)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.183 0.0 -1.183 ... 0.0 0.5518</div><input id='attrs-8c09064d-3cdc-41fc-a42f-590b2be4e59d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c09064d-3cdc-41fc-a42f-590b2be4e59d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e624ebaf-c843-4311-9779-b513fd032d37' class='xr-var-data-in' type='checkbox'><label for='data-e624ebaf-c843-4311-9779-b513fd032d37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Rotation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.1831,  0.    , -1.1831,  0.    ],\n",
-       "       [ 0.    , -1.1831,  0.    ,  1.1831],\n",
-       "       [ 0.5518,  0.    ,  0.5518,  0.    ],\n",
-       "       [ 0.    ,  0.5518,  0.    ,  0.5518]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b62067c6-93e4-4617-b952-0abf39e01c72' class='xr-section-summary-in' type='checkbox'  ><label for='section-b62067c6-93e4-4617-b952-0abf39e01c72' class='xr-section-summary' >Attributes: <span>(34)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>filehead_config :</span></dt><dd>{&quot;CLOCKSTR&quot;: {&quot;TIME&quot;: &quot;\\&quot;2020-08-13 13:56:21\\&quot;&quot;}, &quot;ID&quot;: &quot;STR=\\&quot;Signature1000\\&quot;,SN=101663&quot;, &quot;HW&quot;: {&quot;FW&quot;: 2212, &quot;FPGA&quot;: 169, &quot;DIGITAL&quot;: &quot;\\&quot;I-3\\&quot;&quot;, &quot;INTERFACE&quot;: &quot;\\&quot;H-2\\&quot;&quot;, &quot;ANALOG&quot;: &quot;\\&quot;G-1\\&quot;&quot;, &quot;SENSOR&quot;: &quot;\\&quot;D-1(AHRS)\\&quot;&quot;, &quot;BOOT&quot;: 21, &quot;FWMINOR&quot;: 11}, &quot;BOARDSENSGET&quot;: &quot;AV=23,NB=5,HF=1000,TTR=2.0000,TTRB5=2.0000&quot;, &quot;PWR&quot;: {&quot;PLAN&quot;: 1940.43, &quot;BURST&quot;: 1937.69, &quot;AVG&quot;: 0.0, &quot;PLAN1&quot;: 0.0, &quot;BURST1&quot;: 0.0, &quot;AVG1&quot;: 0.0, &quot;TOTAL&quot;: 1940.43}, &quot;MEM&quot;: {&quot;PLAN&quot;: 2.733, &quot;BURST&quot;: 2.733, &quot;AVG&quot;: 0.0, &quot;PLAN1&quot;: 0.0, &quot;BURST1&quot;: 0.0, &quot;AVG1&quot;: 0.0, &quot;TOTAL&quot;: 2.733}, &quot;PRECISION&quot;: {&quot;AVGHORZ&quot;: -9.99, &quot;BURSTHORZ&quot;: 2.6, &quot;BEAM5&quot;: 1.62, &quot;AVGBEAM&quot;: -9.99, &quot;BURSTBEAM&quot;: 1.55}, &quot;PLAN&quot;: {&quot;MIAVG&quot;: 600, &quot;AVG&quot;: 0, &quot;DIAVG&quot;: 0, &quot;VD&quot;: 0, &quot;MV&quot;: 10, &quot;SA&quot;: 32.0, &quot;BURST&quot;: 1, &quot;MIBURST&quot;: 1, &quot;DIBURST&quot;: 0, &quot;SV&quot;: 0.0, &quot;FN&quot;: &quot;\\&quot;S101663A007_sea_spider.ad2cp\\&quot;&quot;, &quot;SO&quot;: 0, &quot;FREQ&quot;: 1000, &quot;NSTT&quot;: 0}, &quot;BURST&quot;: {&quot;NC&quot;: 28, &quot;NB&quot;: 5, &quot;CS&quot;: 0.5, &quot;BD&quot;: 0.1, &quot;CY&quot;: &quot;\\&quot;ENU\\&quot;&quot;, &quot;PL&quot;: 0.0, &quot;SR&quot;: 1, &quot;NS&quot;: 1, &quot;VR&quot;: 2.5, &quot;VP&quot;: 0.0, &quot;DF&quot;: 3, &quot;NPING&quot;: 8, &quot;CH&quot;: 0, &quot;ALTI&quot;: 0, &quot;VR5&quot;: 2.5, &quot;BT&quot;: 0, &quot;DISV&quot;: 0, &quot;ECHO&quot;: 0, &quot;RAWALTI&quot;: 60, &quot;ALTISTART&quot;: 0.1, &quot;ALTIEND&quot;: 30.0, &quot;HR&quot;: 0, &quot;HR5&quot;: 0}, &quot;XFBURST&quot;: {&quot;ROWS&quot;: 4, &quot;COLS&quot;: 4, &quot;M11&quot;: 1.1831, &quot;M12&quot;: 0.0, &quot;M13&quot;: -1.1831, &quot;M14&quot;: 0.0, &quot;M21&quot;: 0.0, &quot;M22&quot;: -1.1831, &quot;M23&quot;: 0.0, &quot;M24&quot;: 1.1831, &quot;M31&quot;: 0.5518, &quot;M32&quot;: 0.0, &quot;M33&quot;: 0.5518, &quot;M34&quot;: 0.0, &quot;M41&quot;: 0.0, &quot;M42&quot;: 0.5518, &quot;M43&quot;: 0.0, &quot;M44&quot;: 0.5518}, &quot;USER&quot;: {&quot;POFF&quot;: 10.2, &quot;DECL&quot;: 0.0, &quot;HX&quot;: -48, &quot;HY&quot;: 48, &quot;HZ&quot;: 0}, &quot;INST&quot;: {&quot;BR&quot;: 9600, &quot;RS&quot;: 232, &quot;LED&quot;: &quot;\\&quot;OFF\\&quot;&quot;, &quot;ORIENT&quot;: &quot;\\&quot;AHRS3D\\&quot;&quot;, &quot;CMTOUT&quot;: 300, &quot;DMTOUT&quot;: 60, &quot;CFMTOUT&quot;: 60}, &quot;COMPASSCAL&quot;: {&quot;DX&quot;: 155, &quot;DY&quot;: 778, &quot;DZ&quot;: -486, &quot;M11&quot;: 31481, &quot;M12&quot;: 1726, &quot;M13&quot;: -1109, &quot;M21&quot;: -1955, &quot;M22&quot;: 32767, &quot;M23&quot;: 379, &quot;M31&quot;: 750, &quot;M32&quot;: -1851, &quot;M33&quot;: 31699}, &quot;READAHRS&quot;: &quot;STR=\\&quot;OSv6_a2_V5101_0.6 Oct  3 2019, SerialNumber=60004222,type=OS3DM\\&quot;&quot;, &quot;RECSTAT&quot;: &quot;SS=512,CS=32768,FC=127813877760,TC=127848677376,VS=127848677376&quot;, &quot;BEAMCFGLIST&quot;: [&quot;BEAM=1,THETA=25.00,PHI=0.00,FREQ=1000,BW=25,BRD=1,HWBEAM=1,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=2,THETA=25.00,PHI=-90.00,FREQ=1000,BW=25,BRD=1,HWBEAM=2,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=3,THETA=25.00,PHI=180.00,FREQ=1000,BW=25,BRD=1,HWBEAM=3,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=4,THETA=25.00,PHI=90.00,FREQ=1000,BW=25,BRD=1,HWBEAM=4,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=5,THETA=0.00,PHI=0.00,FREQ=1000,BW=25,BRD=1,HWBEAM=5,ZNOM=60.00,DIA=0.0&quot;], &quot;BEAMIMPLIST&quot;: [&quot;BEAM=1,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=2,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=3,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=4,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=5,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;], &quot;LISTLICENSE&quot;: [&quot;KEY=\\&quot;C390Y1LU32C1B\\&quot;,DESC=\\&quot;Averaging Mode\\&quot;,TYPE=1&quot;, &quot;KEY=\\&quot;6F2UB3HTH2C1B\\&quot;,DESC=\\&quot;Burst Five Beams\\&quot;,TYPE=17&quot;, &quot;KEY=\\&quot;R0X9JSZPH2C1B\\&quot;,DESC=\\&quot;128GB Recorder\\&quot;,TYPE=14&quot;], &quot;CALCOMPGET&quot;: &quot;DX=155,DY=778,DZ=-486,M11=31481,M12=1726,M13=-1109,M21=-1955,M22=32767,M23=379,M31=750,M32=-1851,M33=31699&quot;, &quot;CALTEMPGET&quot;: &quot;SC=0.99906&quot;, &quot;CALTILTGET&quot;: &quot;PO=0.00,RO=0.00,MAGG=1,HO=0.00&quot;, &quot;CALACCLGET&quot;: [&quot;AX=1.000000E+00,B0X=1.791816E-02,B1X=-1.795970E-02,B2X=6.661898E-04,B3X=0.000000E+00,A1X=1.146936E-05,A2X=7.326843E-06,A3X=0.000000E+00&quot;, &quot;AY=1.000000E+00,B0Y=9.597497E-03,B1Y=-8.430577E-03,B2Y=9.310668E-04,B3Y=0.000000E+00,A1Y=7.215003E-05,A2Y=1.361528E-06,A3Y=0.000000E+00&quot;, &quot;AZ=1.000000E+00,B0Z=1.290458E-02,B1Z=2.959575E-02,B2Z=2.331257E-03,B3Z=0.000000E+00,A1Z=1.164268E-04,A2Z=-2.166612E-06,A3Z=0.000000E+00&quot;], &quot;CALGYROGET&quot;: [&quot;AX=1.094973E+00,B0X=-2.672331E+00,B1X=-1.493178E-03,B2X=9.496510E-05,B3X=0.000000E+00,A1X=2.702698E-04,A2X=8.100271E-05,A3X=0.000000E+00&quot;, &quot;AY=1.080807E+00,B0Y=3.432283E-01,B1Y=7.219538E-04,B2Y=1.416728E-04,B3Y=0.000000E+00,A1Y=9.466633E-04,A2Y=-4.216283E-05,A3Y=0.000000E+00&quot;, &quot;AZ=1.085556E+00,B0Z=-9.442614E-01,B1Z=6.433576E-04,B2Z=-1.306087E-05,B3Z=0.000000E+00,A1Z=1.430541E-03,A2Z=-7.494539E-05,A3Z=0.000000E+00&quot;], &quot;CALPRESSGET&quot;: &quot;MT=1,RREF=4.5264760000e+02,RB0=7.7074756250e-01,RB1=-7.5541806250e-02,RB2=4.9886362500e-04,RB3=-1.4193179690e-07,T0=-2.4234620000e+03,T1=1.8815180000e+00,T2=-5.0111803130e-04,T3=4.7281500000e-08,ID=\\&quot;K244314\\&quot;&quot;, &quot;CALPRESSCOEFFGET&quot;: [&quot;A0=6.3850020000e+00,A1=-5.6274000000e-03,A2=1.6346411250e-06,A3=-1.6029240630e-10,B0=-2.6056009380e-01,B1=3.1699690630e-04,B2=-9.0774206250e-08,B3=8.5142393750e-12&quot;, &quot;C0=-1.2762860000e-03,C1=1.1561740000e-06,C2=-3.5109818750e-10,C3=3.5575718750e-14,D0=3.6002040630e-06,D1=-3.3359181250e-09,D2=1.0241850000e-12,D3=-1.0446648750e-16&quot;], &quot;CALROTACCLGET&quot;: &quot;M11=0.99144,M12=0.00991,M13=-0.03081,M21=-0.00921,M22=0.99564,M23=0.01131,M31=0.03451,M32=-0.01242,M33=0.98426&quot;, &quot;CALROTGYROGET&quot;: &quot;M11=1.00000,M12=0.00803,M13=-0.02685,M21=-0.00933,M22=1.00000,M23=0.01646,M31=0.02587,M32=-0.01599,M33=1.00000&quot;, &quot;CALECHOGET&quot;: &quot;CHA0=0.00,CHB0=-17.69,CHC0=0.00&quot;}</dd><dt><span>inst_model :</span></dt><dd>Signature1000</dd><dt><span>inst_make :</span></dt><dd>Nortek</dd><dt><span>inst_type :</span></dt><dd>ADCP</dd><dt><span>burst_config :</span></dt><dd>{&quot;press_valid&quot;: true, &quot;temp_valid&quot;: true, &quot;compass_valid&quot;: true, &quot;tilt_valid&quot;: true, &quot;vel&quot;: true, &quot;amp&quot;: true, &quot;corr&quot;: true, &quot;le&quot;: false, &quot;altraw&quot;: false, &quot;ast&quot;: false, &quot;echo&quot;: false, &quot;ahrs&quot;: true, &quot;p_gd&quot;: false, &quot;std&quot;: false}</dd><dt><span>n_cells :</span></dt><dd>28</dd><dt><span>n_beams :</span></dt><dd>4</dd><dt><span>ambig_vel :</span></dt><dd>5.066</dd><dt><span>SerialNum :</span></dt><dd>101663</dd><dt><span>nominal_corr :</span></dt><dd>67</dd><dt><span>cell_size :</span></dt><dd>0.5</dd><dt><span>blank_dist :</span></dt><dd>0.1</dd><dt><span>power_level_dB :</span></dt><dd>0.0</dd><dt><span>burst_config_b5 :</span></dt><dd>{&quot;press_valid&quot;: true, &quot;temp_valid&quot;: true, &quot;compass_valid&quot;: true, &quot;tilt_valid&quot;: true, &quot;vel&quot;: true, &quot;amp&quot;: true, &quot;corr&quot;: true, &quot;le&quot;: false, &quot;altraw&quot;: false, &quot;ast&quot;: false, &quot;echo&quot;: false, &quot;ahrs&quot;: true, &quot;p_gd&quot;: false, &quot;std&quot;: false}</dd><dt><span>n_cells_b5 :</span></dt><dd>28</dd><dt><span>coord_sys_axes_b5 :</span></dt><dd>beam</dd><dt><span>n_beams_b5 :</span></dt><dd>1</dd><dt><span>ambig_vel_b5 :</span></dt><dd>5.066</dd><dt><span>SerialNum_b5 :</span></dt><dd>101663</dd><dt><span>nominal_corr_b5 :</span></dt><dd>65</dd><dt><span>cell_size_b5 :</span></dt><dd>0.5</dd><dt><span>blank_dist_b5 :</span></dt><dd>0.1</dd><dt><span>power_level_dB_b5 :</span></dt><dd>0.0</dd><dt><span>wakeup_state :</span></dt><dd>clock</dd><dt><span>orientation :</span></dt><dd>AHRS</dd><dt><span>orient_status :</span></dt><dd>AHRS-3D</dd><dt><span>proc_idle_less_3pct :</span></dt><dd>0</dd><dt><span>proc_idle_less_6pct :</span></dt><dd>0</dd><dt><span>proc_idle_less_12pct :</span></dt><dd>0</dd><dt><span>rotate_vars :</span></dt><dd>[&#x27;vel&#x27;, &#x27;accel&#x27;, &#x27;accel_b5&#x27;, &#x27;angrt&#x27;, &#x27;angrt_b5&#x27;, &#x27;mag&#x27;, &#x27;mag_b5&#x27;]</dd><dt><span>coord_sys :</span></dt><dd>earth</dd><dt><span>fs :</span></dt><dd>1</dd><dt><span>has_imu :</span></dt><dd>1</dd><dt><span>beam_angle :</span></dt><dd>25</dd></dl></div></li></ul></div></div>"
+      "cell_type": "code",
+      "execution_count": 1,
+      "metadata": {
+        "scrolled": true
+      },
+      "outputs": [],
+      "source": [
+        "from mhkit import dolfyn\n",
+        "from mhkit.dolfyn.adp import api\n",
+        "import matplotlib.pyplot as plt\n",
+        "import pandas as pd\n",
+        "import numpy as np"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "##  1. Importing Raw Instrument Data\n",
+        "\n",
+        "One of DOLfYN's key features is its ability to directly import raw data from an Acoustic Doppler Current Profiler (ADCP) right after it has been transferred. In this instance, we are using a Nortek Signature1000 ADCP, with the data stored in files with an '.ad2cp' extension. This specific dataset represents several hours of velocity data, captured at 1 Hz by an ADCP mounted on a bottom lander within a tidal inlet. The list of instruments compatible with DOLfYN can be found in the [MHKiT DOLfYN documentation](https://mhkit-software.github.io/MHKiT/mhkit-python/api.dolfyn.html).\n",
+        "\n",
+        "We'll start by importing the raw data file downloaded from the instrument. The `read` function processes the raw file and converts the information into an xarray Dataset. This Dataset includes several groups of variables:\n",
+        "\n",
+        "1. **Velocity**: Recorded in the coordinate system saved by the instrument (beam, XYZ, ENU)\n",
+        "2. **Beam Data**: Includes amplitude and correlation data\n",
+        "3. **Instrumental & Environmental Measurements**: Captures the instrument's bearing and environmental conditions\n",
+        "4. **Orientation Matrices**: Used by DOLfYN for rotating through different coordinate frames.\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 2,
+      "metadata": {
+        "scrolled": true
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Reading file data/dolfyn/Sig1000_tidal.ad2cp ...\n"
+          ]
+        }
       ],
-      "text/plain": [
-       "<xarray.Dataset> Size: 83MB\n",
-       "Dimensions:              (time: 55000, time_b5: 55000, range: 28, range_b5: 28,\n",
-       "                          beam: 4, dir: 4, dirIMU: 3, earth: 3, inst: 3, q: 4,\n",
-       "                          x1: 4, x2: 4)\n",
-       "Coordinates:\n",
-       "  * time                 (time) datetime64[ns] 440kB 2020-08-15T00:20:00.5009...\n",
-       "  * time_b5              (time_b5) datetime64[ns] 440kB 2020-08-15T00:20:00.4...\n",
-       "  * range                (range) float64 224B 0.6 1.1 1.6 2.1 ... 13.1 13.6 14.1\n",
-       "  * range_b5             (range_b5) float64 224B 0.6 1.1 1.6 ... 13.1 13.6 14.1\n",
-       "  * beam                 (beam) int32 16B 1 2 3 4\n",
-       "  * dir                  (dir) <U2 32B 'E' 'N' 'U1' 'U2'\n",
-       "  * dirIMU               (dirIMU) <U1 12B 'E' 'N' 'U'\n",
-       "  * earth                (earth) <U1 12B 'E' 'N' 'U'\n",
-       "  * inst                 (inst) <U1 12B 'X' 'Y' 'Z'\n",
-       "  * q                    (q) <U1 16B 'w' 'x' 'y' 'z'\n",
-       "  * x1                   (x1) int32 16B 1 2 3 4\n",
-       "  * x2                   (x2) int32 16B 1 2 3 4\n",
-       "Data variables: (12/38)\n",
-       "    c_sound              (time) float32 220kB 1.502e+03 1.502e+03 ... 1.498e+03\n",
-       "    temp                 (time) float32 220kB 14.55 14.55 14.55 ... 13.47 13.47\n",
-       "    pressure             (time) float32 220kB 9.713 9.718 9.718 ... 9.594 9.596\n",
-       "    mag                  (dirIMU, time) float32 660kB 72.5 72.7 ... -195.7\n",
-       "    accel                (dirIMU, time) float32 660kB -0.00479 ... 9.729\n",
-       "    batt                 (time) float32 220kB 16.6 16.6 16.6 ... 16.4 16.4 15.2\n",
-       "    ...                   ...\n",
-       "    telemetry_data       (time) uint8 55kB 0 0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0\n",
-       "    boost_running        (time) uint8 55kB 0 0 0 0 0 0 0 0 1 ... 1 0 0 0 0 0 0 1\n",
-       "    heading              (time) float32 220kB -12.52 -12.51 ... -12.52 -12.5\n",
-       "    pitch                (time) float32 220kB -0.065 -0.06 -0.06 ... -0.05 -0.05\n",
-       "    roll                 (time) float32 220kB -7.425 -7.42 -7.42 ... -6.45 -6.45\n",
-       "    beam2inst_orientmat  (x1, x2) float32 64B 1.183 0.0 -1.183 ... 0.0 0.5518\n",
-       "Attributes: (12/34)\n",
-       "    filehead_config:       {\"CLOCKSTR\": {\"TIME\": \"\\\"2020-08-13 13:56:21\\\"\"}, ...\n",
-       "    inst_model:            Signature1000\n",
-       "    inst_make:             Nortek\n",
-       "    inst_type:             ADCP\n",
-       "    burst_config:          {\"press_valid\": true, \"temp_valid\": true, \"compass...\n",
-       "    n_cells:               28\n",
-       "    ...                    ...\n",
-       "    proc_idle_less_12pct:  0\n",
-       "    rotate_vars:           ['vel', 'accel', 'accel_b5', 'angrt', 'angrt_b5', ...\n",
-       "    coord_sys:             earth\n",
-       "    fs:                    1\n",
-       "    has_imu:               1\n",
-       "    beam_angle:            25"
+      "source": [
+        "ds = dolfyn.read(\"data/dolfyn/Sig1000_tidal.ad2cp\")"
       ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# print the dataset\n",
-    "ds"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "A second way provided to look at data is through the *DOLfYN view*. This view has several convenience methods, shortcuts, and functions built-in. It includes an alternate – and somewhat more informative/compact – description of the data object when in interactive mode. This can be accessed using"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
+    },
     {
-     "data": {
-      "text/plain": [
-       "<ADCP data object>:  Nortek Signature1000\n",
-       "  . 15.28 hours (started: Aug 15, 2020 00:20)\n",
-       "  . earth-frame\n",
-       "  . (55000 pings @ 1Hz)\n",
-       "  Variables:\n",
-       "  - time ('time',)\n",
-       "  - time_b5 ('time_b5',)\n",
-       "  - vel ('dir', 'range', 'time')\n",
-       "  - vel_b5 ('range_b5', 'time_b5')\n",
-       "  - range ('range',)\n",
-       "  - orientmat ('earth', 'inst', 'time')\n",
-       "  - heading ('time',)\n",
-       "  - pitch ('time',)\n",
-       "  - roll ('time',)\n",
-       "  - temp ('time',)\n",
-       "  - pressure ('time',)\n",
-       "  - amp ('beam', 'range', 'time')\n",
-       "  - amp_b5 ('range_b5', 'time_b5')\n",
-       "  - corr ('beam', 'range', 'time')\n",
-       "  - corr_b5 ('range_b5', 'time_b5')\n",
-       "  - accel ('dirIMU', 'time')\n",
-       "  - angrt ('dirIMU', 'time')\n",
-       "  - mag ('dirIMU', 'time')\n",
-       "  ... and others (see `<obj>.variables`)"
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "There are two ways to see what's in a Dataset. The first is to simply type the dataset's name to see the standard xarray output. To access a particular variable in a dataset, use dict-style (`ds['vel']`) or attribute-style syntax (`ds.vel`). See the [xarray docs](http://xarray.pydata.org/en/stable/getting-started-guide/quick-overview.html) for more details on how to use the xarray format."
       ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ds_dolfyn = ds.velds\n",
-    "ds_dolfyn"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "One way to visualize this data is to plot the velocity in a histogram. This will highlight any outliers."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
+    },
     {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x1200 with 4 Axes>"
+      "cell_type": "code",
+      "execution_count": 3,
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+              "<defs>\n",
+              "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+              "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+              "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+              "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+              "</symbol>\n",
+              "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+              "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+              "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+              "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+              "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+              "</symbol>\n",
+              "</defs>\n",
+              "</svg>\n",
+              "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
+              "\n",
+              ":root {\n",
+              "  --xr-font-color0: var(\n",
+              "    --jp-content-font-color0,\n",
+              "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+              "  );\n",
+              "  --xr-font-color2: var(\n",
+              "    --jp-content-font-color2,\n",
+              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+              "  );\n",
+              "  --xr-font-color3: var(\n",
+              "    --jp-content-font-color3,\n",
+              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+              "  );\n",
+              "  --xr-border-color: var(\n",
+              "    --jp-border-color2,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+              "  );\n",
+              "  --xr-disabled-color: var(\n",
+              "    --jp-layout-color3,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+              "  );\n",
+              "  --xr-background-color: var(\n",
+              "    --jp-layout-color0,\n",
+              "    var(--pst-color-on-background, white)\n",
+              "  );\n",
+              "  --xr-background-color-row-even: var(\n",
+              "    --jp-layout-color1,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+              "  );\n",
+              "  --xr-background-color-row-odd: var(\n",
+              "    --jp-layout-color2,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+              "  );\n",
+              "}\n",
+              "\n",
+              "html[theme=\"dark\"],\n",
+              "html[data-theme=\"dark\"],\n",
+              "body[data-theme=\"dark\"],\n",
+              "body.vscode-dark {\n",
+              "  --xr-font-color0: var(\n",
+              "    --jp-content-font-color0,\n",
+              "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+              "  );\n",
+              "  --xr-font-color2: var(\n",
+              "    --jp-content-font-color2,\n",
+              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+              "  );\n",
+              "  --xr-font-color3: var(\n",
+              "    --jp-content-font-color3,\n",
+              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+              "  );\n",
+              "  --xr-border-color: var(\n",
+              "    --jp-border-color2,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+              "  );\n",
+              "  --xr-disabled-color: var(\n",
+              "    --jp-layout-color3,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+              "  );\n",
+              "  --xr-background-color: var(\n",
+              "    --jp-layout-color0,\n",
+              "    var(--pst-color-on-background, #111111)\n",
+              "  );\n",
+              "  --xr-background-color-row-even: var(\n",
+              "    --jp-layout-color1,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+              "  );\n",
+              "  --xr-background-color-row-odd: var(\n",
+              "    --jp-layout-color2,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+              "  );\n",
+              "}\n",
+              "\n",
+              ".xr-wrap {\n",
+              "  display: block !important;\n",
+              "  min-width: 300px;\n",
+              "  max-width: 700px;\n",
+              "  line-height: 1.6;\n",
+              "}\n",
+              "\n",
+              ".xr-text-repr-fallback {\n",
+              "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+              "  display: none;\n",
+              "}\n",
+              "\n",
+              ".xr-header {\n",
+              "  padding-top: 6px;\n",
+              "  padding-bottom: 6px;\n",
+              "  margin-bottom: 4px;\n",
+              "  border-bottom: solid 1px var(--xr-border-color);\n",
+              "}\n",
+              "\n",
+              ".xr-header > div,\n",
+              ".xr-header > ul {\n",
+              "  display: inline;\n",
+              "  margin-top: 0;\n",
+              "  margin-bottom: 0;\n",
+              "}\n",
+              "\n",
+              ".xr-obj-type,\n",
+              ".xr-obj-name,\n",
+              ".xr-group-name {\n",
+              "  margin-left: 2px;\n",
+              "  margin-right: 10px;\n",
+              "}\n",
+              "\n",
+              ".xr-group-name::before {\n",
+              "  content: \"📁\";\n",
+              "  padding-right: 0.3em;\n",
+              "}\n",
+              "\n",
+              ".xr-group-name,\n",
+              ".xr-obj-type {\n",
+              "  color: var(--xr-font-color2);\n",
+              "}\n",
+              "\n",
+              ".xr-sections {\n",
+              "  padding-left: 0 !important;\n",
+              "  display: grid;\n",
+              "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+              "  margin-block-start: 0;\n",
+              "  margin-block-end: 0;\n",
+              "}\n",
+              "\n",
+              ".xr-section-item {\n",
+              "  display: contents;\n",
+              "}\n",
+              "\n",
+              ".xr-section-item input {\n",
+              "  display: inline-block;\n",
+              "  opacity: 0;\n",
+              "  height: 0;\n",
+              "  margin: 0;\n",
+              "}\n",
+              "\n",
+              ".xr-section-item input + label {\n",
+              "  color: var(--xr-disabled-color);\n",
+              "  border: 2px solid transparent !important;\n",
+              "}\n",
+              "\n",
+              ".xr-section-item input:enabled + label {\n",
+              "  cursor: pointer;\n",
+              "  color: var(--xr-font-color2);\n",
+              "}\n",
+              "\n",
+              ".xr-section-item input:focus + label {\n",
+              "  border: 2px solid var(--xr-font-color0) !important;\n",
+              "}\n",
+              "\n",
+              ".xr-section-item input:enabled + label:hover {\n",
+              "  color: var(--xr-font-color0);\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary {\n",
+              "  grid-column: 1;\n",
+              "  color: var(--xr-font-color2);\n",
+              "  font-weight: 500;\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary > span {\n",
+              "  display: inline-block;\n",
+              "  padding-left: 0.5em;\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary-in:disabled + label {\n",
+              "  color: var(--xr-font-color2);\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary-in + label:before {\n",
+              "  display: inline-block;\n",
+              "  content: \"►\";\n",
+              "  font-size: 11px;\n",
+              "  width: 15px;\n",
+              "  text-align: center;\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary-in:disabled + label:before {\n",
+              "  color: var(--xr-disabled-color);\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary-in:checked + label:before {\n",
+              "  content: \"▼\";\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary-in:checked + label > span {\n",
+              "  display: none;\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary,\n",
+              ".xr-section-inline-details {\n",
+              "  padding-top: 4px;\n",
+              "}\n",
+              "\n",
+              ".xr-section-inline-details {\n",
+              "  grid-column: 2 / -1;\n",
+              "}\n",
+              "\n",
+              ".xr-section-details {\n",
+              "  display: none;\n",
+              "  grid-column: 1 / -1;\n",
+              "  margin-top: 4px;\n",
+              "  margin-bottom: 5px;\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+              "  display: contents;\n",
+              "}\n",
+              "\n",
+              ".xr-group-box {\n",
+              "  display: inline-grid;\n",
+              "  grid-template-columns: 0px 20px auto;\n",
+              "  width: 100%;\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-vline {\n",
+              "  grid-column-start: 1;\n",
+              "  border-right: 0.2em solid;\n",
+              "  border-color: var(--xr-border-color);\n",
+              "  width: 0px;\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-hline {\n",
+              "  grid-column-start: 2;\n",
+              "  grid-row-start: 1;\n",
+              "  height: 1em;\n",
+              "  width: 20px;\n",
+              "  border-bottom: 0.2em solid;\n",
+              "  border-color: var(--xr-border-color);\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-contents {\n",
+              "  grid-column-start: 3;\n",
+              "}\n",
+              "\n",
+              ".xr-array-wrap {\n",
+              "  grid-column: 1 / -1;\n",
+              "  display: grid;\n",
+              "  grid-template-columns: 20px auto;\n",
+              "}\n",
+              "\n",
+              ".xr-array-wrap > label {\n",
+              "  grid-column: 1;\n",
+              "  vertical-align: top;\n",
+              "}\n",
+              "\n",
+              ".xr-preview {\n",
+              "  color: var(--xr-font-color3);\n",
+              "}\n",
+              "\n",
+              ".xr-array-preview,\n",
+              ".xr-array-data {\n",
+              "  padding: 0 5px !important;\n",
+              "  grid-column: 2;\n",
+              "}\n",
+              "\n",
+              ".xr-array-data,\n",
+              ".xr-array-in:checked ~ .xr-array-preview {\n",
+              "  display: none;\n",
+              "}\n",
+              "\n",
+              ".xr-array-in:checked ~ .xr-array-data,\n",
+              ".xr-array-preview {\n",
+              "  display: inline-block;\n",
+              "}\n",
+              "\n",
+              ".xr-dim-list {\n",
+              "  display: inline-block !important;\n",
+              "  list-style: none;\n",
+              "  padding: 0 !important;\n",
+              "  margin: 0;\n",
+              "}\n",
+              "\n",
+              ".xr-dim-list li {\n",
+              "  display: inline-block;\n",
+              "  padding: 0;\n",
+              "  margin: 0;\n",
+              "}\n",
+              "\n",
+              ".xr-dim-list:before {\n",
+              "  content: \"(\";\n",
+              "}\n",
+              "\n",
+              ".xr-dim-list:after {\n",
+              "  content: \")\";\n",
+              "}\n",
+              "\n",
+              ".xr-dim-list li:not(:last-child):after {\n",
+              "  content: \",\";\n",
+              "  padding-right: 5px;\n",
+              "}\n",
+              "\n",
+              ".xr-has-index {\n",
+              "  font-weight: bold;\n",
+              "}\n",
+              "\n",
+              ".xr-var-list,\n",
+              ".xr-var-item {\n",
+              "  display: contents;\n",
+              "}\n",
+              "\n",
+              ".xr-var-item > div,\n",
+              ".xr-var-item label,\n",
+              ".xr-var-item > .xr-var-name span {\n",
+              "  background-color: var(--xr-background-color-row-even);\n",
+              "  border-color: var(--xr-background-color-row-odd);\n",
+              "  margin-bottom: 0;\n",
+              "  padding-top: 2px;\n",
+              "}\n",
+              "\n",
+              ".xr-var-item > .xr-var-name:hover span {\n",
+              "  padding-right: 5px;\n",
+              "}\n",
+              "\n",
+              ".xr-var-list > li:nth-child(odd) > div,\n",
+              ".xr-var-list > li:nth-child(odd) > label,\n",
+              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+              "  background-color: var(--xr-background-color-row-odd);\n",
+              "  border-color: var(--xr-background-color-row-even);\n",
+              "}\n",
+              "\n",
+              ".xr-var-name {\n",
+              "  grid-column: 1;\n",
+              "}\n",
+              "\n",
+              ".xr-var-dims {\n",
+              "  grid-column: 2;\n",
+              "}\n",
+              "\n",
+              ".xr-var-dtype {\n",
+              "  grid-column: 3;\n",
+              "  text-align: right;\n",
+              "  color: var(--xr-font-color2);\n",
+              "}\n",
+              "\n",
+              ".xr-var-preview {\n",
+              "  grid-column: 4;\n",
+              "}\n",
+              "\n",
+              ".xr-index-preview {\n",
+              "  grid-column: 2 / 5;\n",
+              "  color: var(--xr-font-color2);\n",
+              "}\n",
+              "\n",
+              ".xr-var-name,\n",
+              ".xr-var-dims,\n",
+              ".xr-var-dtype,\n",
+              ".xr-preview,\n",
+              ".xr-attrs dt {\n",
+              "  white-space: nowrap;\n",
+              "  overflow: hidden;\n",
+              "  text-overflow: ellipsis;\n",
+              "  padding-right: 10px;\n",
+              "}\n",
+              "\n",
+              ".xr-var-name:hover,\n",
+              ".xr-var-dims:hover,\n",
+              ".xr-var-dtype:hover,\n",
+              ".xr-attrs dt:hover {\n",
+              "  overflow: visible;\n",
+              "  width: auto;\n",
+              "  z-index: 1;\n",
+              "}\n",
+              "\n",
+              ".xr-var-attrs,\n",
+              ".xr-var-data,\n",
+              ".xr-index-data {\n",
+              "  display: none;\n",
+              "  border-top: 2px dotted var(--xr-background-color);\n",
+              "  padding-bottom: 20px !important;\n",
+              "  padding-top: 10px !important;\n",
+              "}\n",
+              "\n",
+              ".xr-var-attrs-in + label,\n",
+              ".xr-var-data-in + label,\n",
+              ".xr-index-data-in + label {\n",
+              "  padding: 0 1px;\n",
+              "}\n",
+              "\n",
+              ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+              ".xr-var-data-in:checked ~ .xr-var-data,\n",
+              ".xr-index-data-in:checked ~ .xr-index-data {\n",
+              "  display: block;\n",
+              "}\n",
+              "\n",
+              ".xr-var-data > table {\n",
+              "  float: right;\n",
+              "}\n",
+              "\n",
+              ".xr-var-data > pre,\n",
+              ".xr-index-data > pre,\n",
+              ".xr-var-data > table > tbody > tr {\n",
+              "  background-color: transparent !important;\n",
+              "}\n",
+              "\n",
+              ".xr-var-name span,\n",
+              ".xr-var-data,\n",
+              ".xr-index-name div,\n",
+              ".xr-index-data,\n",
+              ".xr-attrs {\n",
+              "  padding-left: 25px !important;\n",
+              "}\n",
+              "\n",
+              ".xr-attrs,\n",
+              ".xr-var-attrs,\n",
+              ".xr-var-data,\n",
+              ".xr-index-data {\n",
+              "  grid-column: 1 / -1;\n",
+              "}\n",
+              "\n",
+              "dl.xr-attrs {\n",
+              "  padding: 0;\n",
+              "  margin: 0;\n",
+              "  display: grid;\n",
+              "  grid-template-columns: 125px auto;\n",
+              "}\n",
+              "\n",
+              ".xr-attrs dt,\n",
+              ".xr-attrs dd {\n",
+              "  padding: 0;\n",
+              "  margin: 0;\n",
+              "  float: left;\n",
+              "  padding-right: 10px;\n",
+              "  width: auto;\n",
+              "}\n",
+              "\n",
+              ".xr-attrs dt {\n",
+              "  font-weight: normal;\n",
+              "  grid-column: 1;\n",
+              "}\n",
+              "\n",
+              ".xr-attrs dt:hover span {\n",
+              "  display: inline-block;\n",
+              "  background: var(--xr-background-color);\n",
+              "  padding-right: 10px;\n",
+              "}\n",
+              "\n",
+              ".xr-attrs dd {\n",
+              "  grid-column: 2;\n",
+              "  white-space: pre-wrap;\n",
+              "  word-break: break-all;\n",
+              "}\n",
+              "\n",
+              ".xr-icon-database,\n",
+              ".xr-icon-file-text2,\n",
+              ".xr-no-icon {\n",
+              "  display: inline-block;\n",
+              "  vertical-align: middle;\n",
+              "  width: 1em;\n",
+              "  height: 1.5em !important;\n",
+              "  stroke-width: 0;\n",
+              "  stroke: currentColor;\n",
+              "  fill: currentColor;\n",
+              "}\n",
+              "\n",
+              ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+              ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+              ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+              "  color: var(--xr-font-color0);\n",
+              "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+              "  stroke-width: 0.8px;\n",
+              "}\n",
+              "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 83MB\n",
+              "Dimensions:              (time: 55000, time_b5: 55000, range: 28, range_b5: 28,\n",
+              "                          beam: 4, dir: 4, dirIMU: 3, earth: 3, inst: 3, q: 4,\n",
+              "                          x1: 4, x2: 4)\n",
+              "Coordinates:\n",
+              "  * time                 (time) datetime64[ns] 440kB 2020-08-15T00:20:00.5009...\n",
+              "  * time_b5              (time_b5) datetime64[ns] 440kB 2020-08-15T00:20:00.4...\n",
+              "  * range                (range) float64 224B 0.6 1.1 1.6 2.1 ... 13.1 13.6 14.1\n",
+              "  * range_b5             (range_b5) float64 224B 0.6 1.1 1.6 ... 13.1 13.6 14.1\n",
+              "  * beam                 (beam) int32 16B 1 2 3 4\n",
+              "  * dir                  (dir) &lt;U2 32B &#x27;E&#x27; &#x27;N&#x27; &#x27;U1&#x27; &#x27;U2&#x27;\n",
+              "  * dirIMU               (dirIMU) &lt;U1 12B &#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;\n",
+              "  * earth                (earth) &lt;U1 12B &#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;\n",
+              "  * inst                 (inst) &lt;U1 12B &#x27;X&#x27; &#x27;Y&#x27; &#x27;Z&#x27;\n",
+              "  * q                    (q) &lt;U1 16B &#x27;w&#x27; &#x27;x&#x27; &#x27;y&#x27; &#x27;z&#x27;\n",
+              "  * x1                   (x1) int32 16B 1 2 3 4\n",
+              "  * x2                   (x2) int32 16B 1 2 3 4\n",
+              "Data variables: (12/38)\n",
+              "    c_sound              (time) float32 220kB 1.502e+03 1.502e+03 ... 1.498e+03\n",
+              "    temp                 (time) float32 220kB 14.55 14.55 14.55 ... 13.47 13.47\n",
+              "    pressure             (time) float32 220kB 9.713 9.718 9.718 ... 9.594 9.596\n",
+              "    mag                  (dirIMU, time) float32 660kB 72.5 72.7 ... -195.7\n",
+              "    accel                (dirIMU, time) float32 660kB -0.00479 ... 9.729\n",
+              "    batt                 (time) float32 220kB 16.6 16.6 16.6 ... 16.4 16.4 15.2\n",
+              "    ...                   ...\n",
+              "    telemetry_data       (time) uint8 55kB 0 0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0\n",
+              "    boost_running        (time) uint8 55kB 0 0 0 0 0 0 0 0 1 ... 1 0 0 0 0 0 0 1\n",
+              "    heading              (time) float32 220kB -12.52 -12.51 ... -12.52 -12.5\n",
+              "    pitch                (time) float32 220kB -0.065 -0.06 -0.06 ... -0.05 -0.05\n",
+              "    roll                 (time) float32 220kB -7.425 -7.42 -7.42 ... -6.45 -6.45\n",
+              "    beam2inst_orientmat  (x1, x2) float32 64B 1.183 0.0 -1.183 ... 0.0 0.5518\n",
+              "Attributes: (12/34)\n",
+              "    filehead_config:       {&quot;CLOCKSTR&quot;: {&quot;TIME&quot;: &quot;\\&quot;2020-08-13 13:56:21\\&quot;&quot;}, ...\n",
+              "    inst_model:            Signature1000\n",
+              "    inst_make:             Nortek\n",
+              "    inst_type:             ADCP\n",
+              "    burst_config:          {&quot;press_valid&quot;: true, &quot;temp_valid&quot;: true, &quot;compass...\n",
+              "    n_cells:               28\n",
+              "    ...                    ...\n",
+              "    proc_idle_less_12pct:  0\n",
+              "    rotate_vars:           [&#x27;vel&#x27;, &#x27;accel&#x27;, &#x27;accel_b5&#x27;, &#x27;angrt&#x27;, &#x27;angrt_b5&#x27;, ...\n",
+              "    coord_sys:             earth\n",
+              "    fs:                    1\n",
+              "    has_imu:               1\n",
+              "    beam_angle:            25</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-81ec53bd-3a1b-4f28-aa47-0f11989aa6e7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-81ec53bd-3a1b-4f28-aa47-0f11989aa6e7' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 55000</li><li><span class='xr-has-index'>time_b5</span>: 55000</li><li><span class='xr-has-index'>range</span>: 28</li><li><span class='xr-has-index'>range_b5</span>: 28</li><li><span class='xr-has-index'>beam</span>: 4</li><li><span class='xr-has-index'>dir</span>: 4</li><li><span class='xr-has-index'>dirIMU</span>: 3</li><li><span class='xr-has-index'>earth</span>: 3</li><li><span class='xr-has-index'>inst</span>: 3</li><li><span class='xr-has-index'>q</span>: 4</li><li><span class='xr-has-index'>x1</span>: 4</li><li><span class='xr-has-index'>x2</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-53f8ec61-a299-4e10-85cf-26d603f8c4e9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-53f8ec61-a299-4e10-85cf-26d603f8c4e9' class='xr-section-summary' >Coordinates: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-08-15T00:20:00.500999927 .....</div><input id='attrs-e42e1c9b-5ccd-487b-b356-b871d8d7e2ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e42e1c9b-5ccd-487b-b356-b871d8d7e2ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-acc85947-3e1d-4a94-90a4-943a780120ef' class='xr-var-data-in' type='checkbox'><label for='data-acc85947-3e1d-4a94-90a4-943a780120ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-08-15T00:20:00.500999927&#x27;, &#x27;2020-08-15T00:20:01.501100063&#x27;,\n",
+              "       &#x27;2020-08-15T00:20:02.500999927&#x27;, ..., &#x27;2020-08-15T15:36:37.500999927&#x27;,\n",
+              "       &#x27;2020-08-15T15:36:38.500999927&#x27;, &#x27;2020-08-15T15:36:39.500999927&#x27;],\n",
+              "      shape=(55000,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-08-15T00:20:00.438499927 .....</div><input id='attrs-fa788832-b958-46a0-b06c-51639711ae84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa788832-b958-46a0-b06c-51639711ae84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a672fdd3-ad71-4c3c-98fc-3f05ccfff241' class='xr-var-data-in' type='checkbox'><label for='data-a672fdd3-ad71-4c3c-98fc-3f05ccfff241' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd><dt><span>long_name :</span></dt><dd>Time b5</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-08-15T00:20:00.438499927&#x27;, &#x27;2020-08-15T00:20:01.438499927&#x27;,\n",
+              "       &#x27;2020-08-15T00:20:02.438499927&#x27;, ..., &#x27;2020-08-15T15:36:37.438499927&#x27;,\n",
+              "       &#x27;2020-08-15T15:36:38.438499927&#x27;, &#x27;2020-08-15T15:36:39.438499927&#x27;],\n",
+              "      shape=(55000,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.6 1.1 1.6 2.1 ... 13.1 13.6 14.1</div><input id='attrs-32866ab0-8a8c-4bb9-bc9d-24f77c5d7df4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32866ab0-8a8c-4bb9-bc9d-24f77c5d7df4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81bdd9c1-4516-4510-822a-f1eec1c945ad' class='xr-var-data-in' type='checkbox'><label for='data-81bdd9c1-4516-4510-822a-f1eec1c945ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Profile Range</dd><dt><span>description :</span></dt><dd>Distance to the center of each depth bin</dd></dl></div><div class='xr-var-data'><pre>array([ 0.6,  1.1,  1.6,  2.1,  2.6,  3.1,  3.6,  4.1,  4.6,  5.1,  5.6,  6.1,\n",
+              "        6.6,  7.1,  7.6,  8.1,  8.6,  9.1,  9.6, 10.1, 10.6, 11.1, 11.6, 12.1,\n",
+              "       12.6, 13.1, 13.6, 14.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range_b5</span></div><div class='xr-var-dims'>(range_b5)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.6 1.1 1.6 2.1 ... 13.1 13.6 14.1</div><input id='attrs-12842eed-1613-496e-821a-5d1541fc4bff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12842eed-1613-496e-821a-5d1541fc4bff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce3dd45c-e68b-4d81-b564-61b824e2dc81' class='xr-var-data-in' type='checkbox'><label for='data-ce3dd45c-e68b-4d81-b564-61b824e2dc81' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Profile Range b5</dd><dt><span>description :</span></dt><dd>Distance to the center of each depth bin</dd></dl></div><div class='xr-var-data'><pre>array([ 0.6,  1.1,  1.6,  2.1,  2.6,  3.1,  3.6,  4.1,  4.6,  5.1,  5.6,  6.1,\n",
+              "        6.6,  7.1,  7.6,  8.1,  8.6,  9.1,  9.6, 10.1, 10.6, 11.1, 11.6, 12.1,\n",
+              "       12.6, 13.1, 13.6, 14.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beam</span></div><div class='xr-var-dims'>(beam)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-cb0a43fa-8adb-4ac8-a8d5-7e35157383bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb0a43fa-8adb-4ac8-a8d5-7e35157383bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c1cd77d-081b-4ed6-b5db-50a9b9e071a2' class='xr-var-data-in' type='checkbox'><label for='data-5c1cd77d-081b-4ed6-b5db-50a9b9e071a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Beam Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dir</span></div><div class='xr-var-dims'>(dir)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;E&#x27; &#x27;N&#x27; &#x27;U1&#x27; &#x27;U2&#x27;</div><input id='attrs-f5892753-f981-4c23-a778-ebd210d48e92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5892753-f981-4c23-a778-ebd210d48e92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-acb5a6fe-f764-4342-8a0c-94343969b1e6' class='xr-var-data-in' type='checkbox'><label for='data-acb5a6fe-f764-4342-8a0c-94343969b1e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>ref_frame :</span></dt><dd>earth</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U1&#x27;, &#x27;U2&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dirIMU</span></div><div class='xr-var-dims'>(dirIMU)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;</div><input id='attrs-785924bf-9c21-4cc9-809a-70cf6c734ba3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-785924bf-9c21-4cc9-809a-70cf6c734ba3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c1ae45c-1270-4c5f-994c-72f97fdabb00' class='xr-var-data-in' type='checkbox'><label for='data-3c1ae45c-1270-4c5f-994c-72f97fdabb00' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>ref_frame :</span></dt><dd>earth</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>earth</span></div><div class='xr-var-dims'>(earth)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;</div><input id='attrs-409e3aaf-0fab-4df5-8eba-4995d2cda650' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-409e3aaf-0fab-4df5-8eba-4995d2cda650' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a80cea2-fd1d-4467-900b-1007fe495d45' class='xr-var-data-in' type='checkbox'><label for='data-5a80cea2-fd1d-4467-900b-1007fe495d45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Earth Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>inst</span></div><div class='xr-var-dims'>(inst)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;X&#x27; &#x27;Y&#x27; &#x27;Z&#x27;</div><input id='attrs-d276d6f5-ebd7-4155-8782-10ce43695d76' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d276d6f5-ebd7-4155-8782-10ce43695d76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f12b0fe8-c2a5-4a90-a545-d32a83711cbd' class='xr-var-data-in' type='checkbox'><label for='data-f12b0fe8-c2a5-4a90-a545-d32a83711cbd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Instrument Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;X&#x27;, &#x27;Y&#x27;, &#x27;Z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>q</span></div><div class='xr-var-dims'>(q)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;w&#x27; &#x27;x&#x27; &#x27;y&#x27; &#x27;z&#x27;</div><input id='attrs-7e5d997e-66a5-4e62-b249-8ff38533779d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e5d997e-66a5-4e62-b249-8ff38533779d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-adf10e73-fa2c-4781-93b9-f409aa3a32cc' class='xr-var-data-in' type='checkbox'><label for='data-adf10e73-fa2c-4781-93b9-f409aa3a32cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Quaternion Vector Components</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;w&#x27;, &#x27;x&#x27;, &#x27;y&#x27;, &#x27;z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x1</span></div><div class='xr-var-dims'>(x1)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-995c7fea-fd95-41f1-8d22-e7ce5573d205' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-995c7fea-fd95-41f1-8d22-e7ce5573d205' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b843242-5150-432d-985a-4854ab2f1cc5' class='xr-var-data-in' type='checkbox'><label for='data-1b843242-5150-432d-985a-4854ab2f1cc5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x2</span></div><div class='xr-var-dims'>(x2)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-e3e8bca9-d09c-42b5-9fe2-31507904fbae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3e8bca9-d09c-42b5-9fe2-31507904fbae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8477bd9-931e-4f6a-983d-518154bf8742' class='xr-var-data-in' type='checkbox'><label for='data-a8477bd9-931e-4f6a-983d-518154bf8742' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5ef77866-dedc-4b00-8753-7058bf1cbae3' class='xr-section-summary-in' type='checkbox'  ><label for='section-5ef77866-dedc-4b00-8753-7058bf1cbae3' class='xr-section-summary' >Data variables: <span>(38)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>c_sound</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.502e+03 1.502e+03 ... 1.498e+03</div><input id='attrs-89f75bdf-299d-49a0-87bb-3293ae60d785' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89f75bdf-299d-49a0-87bb-3293ae60d785' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc8eb6f2-f1a4-45c2-bc7d-76d3fcd8f924' class='xr-var-data-in' type='checkbox'><label for='data-dc8eb6f2-f1a4-45c2-bc7d-76d3fcd8f924' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Speed of Sound</dd><dt><span>standard_name :</span></dt><dd>speed_of_sound_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([1501.9, 1501.9, 1501.9, ..., 1498.4, 1498.3, 1498.3],\n",
+              "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>14.55 14.55 14.55 ... 13.47 13.47</div><input id='attrs-5e5460c1-d999-4af5-b1c6-525598b7b74b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e5460c1-d999-4af5-b1c6-525598b7b74b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e946f9e-fcca-4de2-b4b2-3c01470eb1c5' class='xr-var-data-in' type='checkbox'><label for='data-5e946f9e-fcca-4de2-b4b2-3c01470eb1c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd></dl></div><div class='xr-var-data'><pre>array([14.55, 14.55, 14.55, ..., 13.47, 13.47, 13.47],\n",
+              "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.713 9.718 9.718 ... 9.594 9.596</div><input id='attrs-57626b14-7200-462d-858f-3ddd8cc01b37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57626b14-7200-462d-858f-3ddd8cc01b37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a0a5d65-ea40-4f12-97df-86c6319a0607' class='xr-var-data-in' type='checkbox'><label for='data-0a0a5d65-ea40-4f12-97df-86c6319a0607' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dbar</dd><dt><span>long_name :</span></dt><dd>Pressure</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd></dl></div><div class='xr-var-data'><pre>array([9.713, 9.718, 9.718, ..., 9.596, 9.594, 9.596],\n",
+              "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mag</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>72.5 72.7 72.6 ... -197.2 -195.7</div><input id='attrs-a7db5f59-dace-41e6-b9e0-2cd7835d1858' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7db5f59-dace-41e6-b9e0-2cd7835d1858' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af8e8c3f-5a17-42a5-b49d-e7bedb8efc6f' class='xr-var-data-in' type='checkbox'><label for='data-af8e8c3f-5a17-42a5-b49d-e7bedb8efc6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>uT</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Compass</dd></dl></div><div class='xr-var-data'><pre>array([[  72.5,   72.7,   72.6, ...,   72.3,   72.8,   72.4],\n",
+              "       [   9.3,    9.4,    8.9, ...,    5.9,    6.3,    6.4],\n",
+              "       [-198. , -196.3, -198.1, ..., -197.4, -197.2, -195.7]],\n",
+              "      shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>accel</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.00479 -0.01437 ... 9.685 9.729</div><input id='attrs-b26d0197-c857-4e64-9576-134e32211e49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b26d0197-c857-4e64-9576-134e32211e49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e38243d-d17e-430a-b0d2-412f9a5ac190' class='xr-var-data-in' type='checkbox'><label for='data-9e38243d-d17e-430a-b0d2-412f9a5ac190' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-2</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acceleration</dd></dl></div><div class='xr-var-data'><pre>array([[-4.7900393e-03, -1.4370117e-02, -2.3950195e-02, ...,\n",
+              "        -1.4370117e-02, -4.7900393e-03, -2.3950195e-02],\n",
+              "       [-1.2933105e+00, -1.2549902e+00, -1.2645704e+00, ...,\n",
+              "        -1.1017090e+00, -1.0873389e+00, -1.0969189e+00],\n",
+              "       [ 9.7285690e+00,  9.7141991e+00,  9.7237797e+00, ...,\n",
+              "         9.6710892e+00,  9.6854591e+00,  9.7285690e+00]],\n",
+              "      shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>batt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>16.6 16.6 16.6 ... 16.4 16.4 15.2</div><input id='attrs-39ff53ef-2f04-4858-8a84-75acc246cf12' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39ff53ef-2f04-4858-8a84-75acc246cf12' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-929cdaf4-5581-4a3b-9ada-5386e99e77b9' class='xr-var-data-in' type='checkbox'><label for='data-929cdaf4-5581-4a3b-9ada-5386e99e77b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>V</dd><dt><span>long_name :</span></dt><dd>Battery Voltage</dd><dt><span>standard_name :</span></dt><dd>battery_voltage</dd></dl></div><div class='xr-var-data'><pre>array([16.6, 16.6, 16.6, ..., 16.4, 16.4, 15.2],\n",
+              "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_clock</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>20.0 20.0 20.0 ... 19.5 19.5 19.5</div><input id='attrs-72c7027a-5f58-4110-ba3c-c0b41b3fedba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72c7027a-5f58-4110-ba3c-c0b41b3fedba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99ebbf73-ab56-40fb-8e47-fbfda5950247' class='xr-var-data-in' type='checkbox'><label for='data-99ebbf73-ab56-40fb-8e47-fbfda5950247' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Internal Clock Temperature</dd></dl></div><div class='xr-var-data'><pre>array([20. , 20. , 20. , ..., 19.5, 19.5, 19.5],\n",
+              "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>error</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-632e1657-6d21-4b98-85f2-05b0ae4589a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-632e1657-6d21-4b98-85f2-05b0ae4589a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72454d35-24e0-4216-a1ec-c02893477705' class='xr-var-data-in' type='checkbox'><label for='data-72454d35-24e0-4216-a1ec-c02893477705' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Error Code</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(55000,), dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>1053556738 ... 1053557762</div><input id='attrs-51409b14-ca96-43cf-836f-2c535e2c6da1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51409b14-ca96-43cf-836f-2c535e2c6da1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd90441f-d8dc-4319-9d2b-0c14300b265f' class='xr-var-data-in' type='checkbox'><label for='data-dd90441f-d8dc-4319-9d2b-0c14300b265f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Status Code</dd></dl></div><div class='xr-var-data'><pre>array([1053556738, 1053556738, 1053556738, ..., 1053556738, 1053556738,\n",
+              "       1053557762], shape=(55000,), dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ensemble</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>1 2 3 4 ... 54997 54998 54999 55000</div><input id='attrs-a80d9153-009e-4079-9f37-e1163989bb0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a80d9153-009e-4079-9f37-e1163989bb0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-237361cc-1982-41b0-a180-62035c9179d3' class='xr-var-data-in' type='checkbox'><label for='data-237361cc-1982-41b0-a180-62035c9179d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>#</dd><dt><span>long_name :</span></dt><dd>Ensemble Number</dd><dt><span>standard_name :</span></dt><dd>number_of_observations</dd></dl></div><div class='xr-var-data'><pre>array([    1,     2,     3, ..., 54998, 54999, 55000],\n",
+              "      shape=(55000,), dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vel</span></div><div class='xr-var-dims'>(dir, range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.015 -0.048 ... -0.015 -0.012</div><input id='attrs-7922cfcd-9b23-49f4-a504-c920129082d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7922cfcd-9b23-49f4-a504-c920129082d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8bb45e9-0b12-4fdb-891f-55596038d293' class='xr-var-data-in' type='checkbox'><label for='data-b8bb45e9-0b12-4fdb-891f-55596038d293' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Water Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[-0.015, -0.048,  0.008, ..., -0.176, -0.071, -0.027],\n",
+              "        [-0.093, -0.124, -0.031, ..., -0.175, -0.16 , -0.03 ],\n",
+              "        [-0.163, -0.135, -0.105, ..., -0.129, -0.089, -0.116],\n",
+              "        ...,\n",
+              "        [-0.169, -0.013, -0.124, ..., -0.062,  0.091, -0.009],\n",
+              "        [-0.16 , -0.043, -0.111, ...,  0.012,  0.089,  0.021],\n",
+              "        [-0.158, -0.057, -0.13 , ..., -0.055,  0.104,  0.013]],\n",
+              "\n",
+              "       [[ 0.243,  0.204,  0.234, ..., -0.163, -0.135, -0.18 ],\n",
+              "        [ 0.272,  0.248,  0.236, ..., -0.254, -0.169, -0.204],\n",
+              "        [ 0.257,  0.294,  0.333, ..., -0.299, -0.226, -0.273],\n",
+              "        ...,\n",
+              "        [ 0.305,  0.377,  0.283, ..., -0.198, -0.229, -0.121],\n",
+              "        [ 0.328,  0.33 ,  0.294, ..., -0.161, -0.292, -0.103],\n",
+              "        [ 0.31 ,  0.314,  0.226, ..., -0.219, -0.292, -0.049]],\n",
+              "\n",
+              "       [[ 0.016,  0.012,  0.01 , ...,  0.009,  0.006, -0.018],\n",
+              "        [ 0.01 ,  0.011, -0.013, ...,  0.002, -0.027,  0.009],\n",
+              "        [ 0.01 ,  0.009,  0.023, ..., -0.018, -0.002, -0.024],\n",
+              "        ...,\n",
+              "        [ 0.034, -0.061, -0.024, ..., -0.014,  0.086,  0.01 ],\n",
+              "        [ 0.032, -0.04 , -0.027, ..., -0.014,  0.063, -0.01 ],\n",
+              "        [ 0.004, -0.037, -0.018, ..., -0.001,  0.059,  0.021]],\n",
+              "\n",
+              "       [[ 0.003, -0.007,  0.046, ..., -0.032, -0.008, -0.029],\n",
+              "        [ 0.017,  0.033,  0.035, ..., -0.016, -0.022, -0.034],\n",
+              "        [ 0.016, -0.012,  0.005, ...,  0.002, -0.045, -0.026],\n",
+              "        ...,\n",
+              "        [-0.044,  0.015, -0.04 , ..., -0.015,  0.006,  0.012],\n",
+              "        [-0.013,  0.014, -0.032, ...,  0.01 ,  0.   , -0.015],\n",
+              "        [ 0.007,  0.016, -0.027, ..., -0.002, -0.015, -0.012]]],\n",
+              "      shape=(4, 28, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>amp</span></div><div class='xr-var-dims'>(beam, range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>81.0 80.0 80.5 ... 43.5 42.5 42.0</div><input id='attrs-1cce2e02-84e8-4a8c-9c55-216b0c1813ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1cce2e02-84e8-4a8c-9c55-216b0c1813ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37fdc4b9-d265-4cdd-b317-f12501c9a1dd' class='xr-var-data-in' type='checkbox'><label for='data-37fdc4b9-d265-4cdd-b317-f12501c9a1dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Amplitude</dd><dt><span>standard_name :</span></dt><dd>signal_intensity_from_multibeam_acoustic_doppler_velocity_sensor_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([[[81. , 80. , 80.5, ..., 81.5, 81.5, 81.5],\n",
+              "        [75. , 74.5, 75. , ..., 79. , 77. , 77.5],\n",
+              "        [73.5, 72. , 72. , ..., 75. , 74.5, 75. ],\n",
+              "        ...,\n",
+              "        [54.5, 55.5, 54.5, ..., 50. , 50. , 49.5],\n",
+              "        [53.5, 54.5, 54.5, ..., 46.5, 47. , 46.5],\n",
+              "        [53. , 54. , 53. , ..., 45. , 46. , 44.5]],\n",
+              "\n",
+              "       [[81.5, 80. , 80.5, ..., 82. , 81.5, 82. ],\n",
+              "        [76. , 77. , 76.5, ..., 79. , 77.5, 77.5],\n",
+              "        [73.5, 74. , 73. , ..., 75.5, 74.5, 74.5],\n",
+              "        ...,\n",
+              "        [57. , 58.5, 58. , ..., 53.5, 52. , 52.5],\n",
+              "        [55.5, 56.5, 55.5, ..., 50. , 49. , 49. ],\n",
+              "        [52.5, 54. , 54. , ..., 47.5, 47.5, 47. ]],\n",
+              "\n",
+              "       [[80.5, 79.5, 80. , ..., 81.5, 82.5, 81.5],\n",
+              "        [76. , 75.5, 75. , ..., 77. , 78.5, 77. ],\n",
+              "        [72. , 73.5, 72. , ..., 74. , 75. , 73.5],\n",
+              "        ...,\n",
+              "        [56.5, 56.5, 57. , ..., 47.5, 47. , 48. ],\n",
+              "        [56. , 55.5, 56.5, ..., 46.5, 47. , 47. ],\n",
+              "        [54.5, 54. , 55.5, ..., 45. , 45.5, 45.5]],\n",
+              "\n",
+              "       [[80. , 81. , 80. , ..., 81. , 81. , 81.5],\n",
+              "        [75.5, 75.5, 74.5, ..., 76.5, 76.5, 77.5],\n",
+              "        [73. , 72.5, 73. , ..., 75.5, 74.5, 74. ],\n",
+              "        ...,\n",
+              "        [51.5, 51. , 51. , ..., 46. , 46. , 45. ],\n",
+              "        [51. , 50. , 51. , ..., 45. , 44. , 43.5],\n",
+              "        [50.5, 49.5, 50. , ..., 43.5, 42.5, 42. ]]],\n",
+              "      shape=(4, 28, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>corr</span></div><div class='xr-var-dims'>(beam, range, time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>100 91 91 97 99 ... 96 98 98 98 96</div><input id='attrs-078587be-cb12-48d8-8f59-60af8f024b03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-078587be-cb12-48d8-8f59-60af8f024b03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfbaeb67-c258-4989-b26f-b4d8469a1d0b' class='xr-var-data-in' type='checkbox'><label for='data-cfbaeb67-c258-4989-b26f-b4d8469a1d0b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>%</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Correlation</dd><dt><span>standard_name :</span></dt><dd>beam_consistency_indicator_from_multibeam_acoustic_doppler_velocity_profiler_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([[[100,  91,  91, ...,  89,  90,  96],\n",
+              "        [ 74,  92,  96, ..., 100,  97, 100],\n",
+              "        [100, 100,  99, ...,  99, 100, 100],\n",
+              "        ...,\n",
+              "        [ 99, 100, 100, ...,  96,  96,  99],\n",
+              "        [ 99,  97, 100, ...,  94,  97,  96],\n",
+              "        [ 98, 100, 100, ..., 100, 100,  98]],\n",
+              "\n",
+              "       [[ 94,  90,  89, ...,  91,  92,  90],\n",
+              "        [ 94, 100, 100, ...,  96, 100,  93],\n",
+              "        [ 99,  95,  97, ...,  98,  98, 100],\n",
+              "        ...,\n",
+              "        [100, 100, 100, ...,  98,  99, 100],\n",
+              "        [ 99, 100,  99, ...,  97,  94,  94],\n",
+              "        [ 96,  99,  96, ...,  97, 100,  97]],\n",
+              "\n",
+              "       [[ 92,  93,  93, ...,  93,  97,  89],\n",
+              "        [ 99, 100,  99, ...,  96,  88,  98],\n",
+              "        [ 97, 100,  98, ..., 100,  99,  97],\n",
+              "        ...,\n",
+              "        [100, 100,  99, ...,  97,  94,  95],\n",
+              "        [100, 100, 100, ...,  96, 100, 100],\n",
+              "        [100, 100, 100, ...,  96,  95,  94]],\n",
+              "\n",
+              "       [[ 87,  97,  87, ...,  91,  87,  90],\n",
+              "        [100,  93,  93, ...,  96,  96,  97],\n",
+              "        [100, 100, 100, ..., 100, 100,  97],\n",
+              "        ...,\n",
+              "        [100,  99,  96, ...,  98, 100, 100],\n",
+              "        [100, 100, 100, ...,  94,  93,  95],\n",
+              "        [100,  98,  99, ...,  98,  98,  96]]],\n",
+              "      shape=(4, 28, 55000), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientmat</span></div><div class='xr-var-dims'>(earth, inst, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.2167 -0.2164 ... 0.9937 0.9937</div><input id='attrs-ff07934e-45ae-4c2c-961b-a85b40b3539a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff07934e-45ae-4c2c-961b-a85b40b3539a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78941838-129b-4353-b752-23cb80dfca22' class='xr-var-data-in' type='checkbox'><label for='data-78941838-129b-4353-b752-23cb80dfca22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Orientation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[[-2.16688156e-01, -2.16397047e-01, -2.16593146e-01, ...,\n",
+              "         -2.16118217e-01, -2.16699123e-01, -2.16318965e-01],\n",
+              "        [ 9.76196468e-01,  9.76219118e-01,  9.76202846e-01, ...,\n",
+              "          9.76315439e-01,  9.76210594e-01,  9.76245522e-01],\n",
+              "        [-1.22870505e-03, -1.20262802e-03, -1.17563456e-03, ...,\n",
+              "         -1.16243958e-03, -1.02279335e-03, -9.55920666e-04]],\n",
+              "\n",
+              "       [[-9.67970312e-01, -9.68004048e-01, -9.67982769e-01, ...,\n",
+              "         -9.70095694e-01, -9.69992876e-01, -9.70033050e-01],\n",
+              "        [-2.15024590e-01, -2.14734554e-01, -2.14924574e-01, ...,\n",
+              "         -2.14874983e-01, -2.15436578e-01, -2.15052128e-01],\n",
+              "        [-1.29278094e-01, -1.29190803e-01, -1.29239410e-01, ...,\n",
+              "         -1.12442717e-01, -1.12462208e-01, -1.12422116e-01]],\n",
+              "\n",
+              "       [[-1.26469478e-01, -1.26385525e-01, -1.26422524e-01, ...,\n",
+              "         -1.10033900e-01, -1.10009573e-01, -1.09963998e-01],\n",
+              "        [-2.68291458e-02, -2.68030688e-02, -2.68616974e-02, ...,\n",
+              "         -2.31788009e-02, -2.33813375e-02, -2.34001204e-02],\n",
+              "        [ 9.91607308e-01,  9.91618454e-01,  9.91612315e-01, ...,\n",
+              "          9.93657291e-01,  9.93655324e-01,  9.93659675e-01]]],\n",
+              "      shape=(3, 3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angrt</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.001953 -0.001953 ... -0.00293</div><input id='attrs-4c8f371b-ac52-4627-ad0b-76a98449312c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c8f371b-ac52-4627-ad0b-76a98449312c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-664e805e-0512-4971-9d9f-2aa2049c0269' class='xr-var-data-in' type='checkbox'><label for='data-664e805e-0512-4971-9d9f-2aa2049c0269' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>rad s-1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Angular Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[-0.00195312, -0.00195312, -0.00195312, ..., -0.00390625,\n",
+              "        -0.00292969, -0.00195312],\n",
+              "       [ 0.00097656,  0.        ,  0.        , ...,  0.        ,\n",
+              "         0.00097656,  0.00097656],\n",
+              "       [-0.00292969, -0.00292969, -0.00292969, ..., -0.00292969,\n",
+              "        -0.00195312, -0.00292969]], shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quaternions</span></div><div class='xr-var-dims'>(q, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.6245 0.6245 ... 0.7787 0.7786</div><input id='attrs-87b050ee-7b51-4e85-8e6f-b4e8041d9e29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-87b050ee-7b51-4e85-8e6f-b4e8041d9e29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b157de7-db08-482a-8b9c-a82881ceb8d2' class='xr-var-data-in' type='checkbox'><label for='data-2b157de7-db08-482a-8b9c-a82881ceb8d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Quaternions</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.6244507 ,  0.62454224,  0.6244812 , ...,  0.625     ,\n",
+              "         0.6247864 ,  0.62490845],\n",
+              "       [-0.04101562, -0.04098511, -0.04098511, ..., -0.03570557,\n",
+              "        -0.03564453, -0.03561401],\n",
+              "       [-0.05014038, -0.05010986, -0.05014038, ..., -0.04354858,\n",
+              "        -0.04360962, -0.04360962],\n",
+              "       [ 0.77835083,  0.7782593 ,  0.7783203 , ...,  0.77856445,\n",
+              "         0.77874756,  0.7786255 ]], shape=(4, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_press</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>12.8 12.8 12.8 ... 12.0 12.0 12.0</div><input id='attrs-d8c7f300-eac5-4983-a1cb-ead8cfe7a07d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8c7f300-eac5-4983-a1cb-ead8cfe7a07d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e7a12c8-c6b3-4e63-9cbc-1029e0cd2664' class='xr-var-data-in' type='checkbox'><label for='data-8e7a12c8-c6b3-4e63-9cbc-1029e0cd2664' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Pressure Sensor Temperature</dd></dl></div><div class='xr-var-data'><pre>array([12.8, 12.8, 12.8, ..., 12. , 12. , 12. ],\n",
+              "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xmit_energy</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>243 243 243 244 ... 246 246 246 246</div><input id='attrs-17d3f828-6bf8-42d7-95dc-d0ec54024e20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-17d3f828-6bf8-42d7-95dc-d0ec54024e20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a99f0b77-fad9-4a57-9a96-e9d64cf3cb26' class='xr-var-data-in' type='checkbox'><label for='data-a99f0b77-fad9-4a57-9a96-e9d64cf3cb26' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Sound Pressure Level of Acoustic Signal</dd></dl></div><div class='xr-var-data'><pre>array([243, 243, 243, ..., 246, 246, 246], shape=(55000,), dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mag_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>72.9 72.8 72.4 ... -198.0 -195.7</div><input id='attrs-ce00e77f-a9fb-4f2d-a2c9-1306c030bd7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce00e77f-a9fb-4f2d-a2c9-1306c030bd7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e523d55c-3ba6-4b87-8d81-ece057246d23' class='xr-var-data-in' type='checkbox'><label for='data-e523d55c-3ba6-4b87-8d81-ece057246d23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>uT</dd><dt><span>long_name :</span></dt><dd>Compass</dd></dl></div><div class='xr-var-data'><pre>array([[  72.9,   72.8,   72.4, ...,   73. ,   73. ,   72.7],\n",
+              "       [   9.5,    9.5,    9.8, ...,    6. ,    6.4,    5.9],\n",
+              "       [-197.1, -197.2, -197.7, ..., -197.4, -198. , -195.7]],\n",
+              "      shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>accel_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.01437 0.0 ... 9.709 9.724</div><input id='attrs-6ccedab4-36b1-4b7e-bc45-3fc7bdb5460d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ccedab4-36b1-4b7e-bc45-3fc7bdb5460d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7532ee4d-1bf1-4411-9778-62abb3cf4e48' class='xr-var-data-in' type='checkbox'><label for='data-7532ee4d-1bf1-4411-9778-62abb3cf4e48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>m s-2</dd><dt><span>long_name :</span></dt><dd>Acceleration</dd></dl></div><div class='xr-var-data'><pre>array([[-1.4370117e-02,  0.0000000e+00, -1.4370117e-02, ...,\n",
+              "        -4.7900393e-03, -1.9160157e-02, -1.4370117e-02],\n",
+              "       [-1.2693603e+00, -1.2885205e+00, -1.2837305e+00, ...,\n",
+              "        -1.0825489e+00, -1.1017090e+00, -1.1064991e+00],\n",
+              "       [ 9.7189894e+00,  9.7046194e+00,  9.7094088e+00, ...,\n",
+              "         9.7141991e+00,  9.7094088e+00,  9.7237797e+00]],\n",
+              "      shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>error_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-dcb8313f-29b4-4677-9632-c9a8672b6a2c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dcb8313f-29b4-4677-9632-c9a8672b6a2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97e25bcf-f74d-49a9-9645-53f59e999a90' class='xr-var-data-in' type='checkbox'><label for='data-97e25bcf-f74d-49a9-9645-53f59e999a90' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Error Code</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(55000,), dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>1053556738 ... 1053557762</div><input id='attrs-36f37d07-284c-4962-82f9-aa1ca988f69e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36f37d07-284c-4962-82f9-aa1ca988f69e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22465ebd-cb51-4601-a41a-db3d8614fce1' class='xr-var-data-in' type='checkbox'><label for='data-22465ebd-cb51-4601-a41a-db3d8614fce1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Status Code</dd></dl></div><div class='xr-var-data'><pre>array([1053556738, 1053556738, 1053556738, ..., 1053556738, 1053556738,\n",
+              "       1053557762], shape=(55000,), dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ensemble_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>1 2 3 4 ... 54997 54998 54999 55000</div><input id='attrs-f593b7ed-d879-40e7-9204-c712b2e64ae3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f593b7ed-d879-40e7-9204-c712b2e64ae3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7257c562-4a3f-468d-8aeb-d88c260156b8' class='xr-var-data-in' type='checkbox'><label for='data-7257c562-4a3f-468d-8aeb-d88c260156b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>#</dd><dt><span>long_name :</span></dt><dd>Ensemble Number</dd><dt><span>standard_name :</span></dt><dd>number_of_observations</dd></dl></div><div class='xr-var-data'><pre>array([    1,     2,     3, ..., 54998, 54999, 55000],\n",
+              "      shape=(55000,), dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vel_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.003 0.021 0.018 ... -0.048 0.09</div><input id='attrs-84a5f01d-2a76-4630-a7a4-7b0af48e020d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84a5f01d-2a76-4630-a7a4-7b0af48e020d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4150f7e4-3eb8-4419-b82e-691c84ed83a5' class='xr-var-data-in' type='checkbox'><label for='data-4150f7e4-3eb8-4419-b82e-691c84ed83a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Water Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.003,  0.021,  0.018, ...,  0.   , -0.044,  0.009],\n",
+              "       [ 0.057,  0.034,  0.017, ...,  0.01 ,  0.001, -0.002],\n",
+              "       [ 0.039,  0.022,  0.02 , ...,  0.039, -0.008,  0.018],\n",
+              "       ...,\n",
+              "       [-0.036, -0.013,  0.058, ...,  0.058, -0.013,  0.028],\n",
+              "       [-0.043, -0.009,  0.028, ...,  0.092, -0.021,  0.019],\n",
+              "       [-0.073,  0.003,  0.   , ...,  0.049, -0.048,  0.09 ]],\n",
+              "      shape=(28, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>amp_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>80.5 80.5 80.0 ... 46.5 46.0 47.5</div><input id='attrs-00f899f1-2a21-4e4e-9382-fe689b9939c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00f899f1-2a21-4e4e-9382-fe689b9939c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0b7a263-e67a-42c6-9409-3ee4929d4fa8' class='xr-var-data-in' type='checkbox'><label for='data-f0b7a263-e67a-42c6-9409-3ee4929d4fa8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Amplitude</dd><dt><span>standard_name :</span></dt><dd>signal_intensity_from_multibeam_acoustic_doppler_velocity_sensor_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([[80.5, 80.5, 80. , ..., 82. , 81.5, 81. ],\n",
+              "       [75.5, 76.5, 76. , ..., 78.5, 78. , 77.5],\n",
+              "       [72.5, 73.5, 73.5, ..., 75. , 76.5, 75.5],\n",
+              "       ...,\n",
+              "       [57.5, 57.5, 57. , ..., 49. , 49. , 48.5],\n",
+              "       [56.5, 57. , 56. , ..., 47.5, 48. , 48. ],\n",
+              "       [55.5, 55.5, 55. , ..., 46.5, 46. , 47.5]],\n",
+              "      shape=(28, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>corr_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>98 100 92 93 98 ... 100 99 94 100</div><input id='attrs-a716bd46-ca3d-42c6-84b2-b914fd21f50e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a716bd46-ca3d-42c6-84b2-b914fd21f50e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf2fcc9c-9b7c-4214-83ea-67350f1bc34c' class='xr-var-data-in' type='checkbox'><label for='data-cf2fcc9c-9b7c-4214-83ea-67350f1bc34c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Correlation</dd><dt><span>standard_name :</span></dt><dd>beam_consistency_indicator_from_multibeam_acoustic_doppler_velocity_profiler_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([[ 98, 100,  92, ...,  88,  90,  91],\n",
+              "       [ 97,  94,  98, ...,  97,  95,  97],\n",
+              "       [100, 100, 100, ...,  93, 100,  96],\n",
+              "       ...,\n",
+              "       [100, 100, 100, ..., 100, 100,  98],\n",
+              "       [100, 100, 100, ...,  99, 100,  98],\n",
+              "       [100, 100, 100, ...,  99,  94, 100]],\n",
+              "      shape=(28, 55000), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientmat_b5</span></div><div class='xr-var-dims'>(earth, inst, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.2167 -0.2165 ... 0.9937 0.9937</div><input id='attrs-87378697-fc85-40f9-99e1-0e9cbc99c76b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-87378697-fc85-40f9-99e1-0e9cbc99c76b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87ff3fbb-4771-4957-b291-48c4aa8669f3' class='xr-var-data-in' type='checkbox'><label for='data-87ff3fbb-4771-4957-b291-48c4aa8669f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Orientation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[[-2.16694236e-01, -2.16498137e-01, -2.16593146e-01, ...,\n",
+              "         -2.16118217e-01, -2.16699123e-01, -2.16318965e-01],\n",
+              "        [-9.67967808e-01, -9.68039632e-01, -9.68030274e-01, ...,\n",
+              "         -9.70095694e-01, -9.69992876e-01, -9.70033050e-01],\n",
+              "        [-1.26507595e-01, -1.26426160e-01, -1.26425594e-01, ...,\n",
+              "         -1.10033900e-01, -1.10009573e-01, -1.09963998e-01]],\n",
+              "\n",
+              "       [[ 9.76198971e-01,  9.76259708e-01,  9.76250350e-01, ...,\n",
+              "          9.76315439e-01,  9.76210594e-01,  9.76245522e-01],\n",
+              "        [-2.15024590e-01, -2.14829564e-01, -2.14924574e-01, ...,\n",
+              "         -2.14874983e-01, -2.15436578e-01, -2.15052128e-01],\n",
+              "        [-2.68766508e-02, -2.68536285e-02, -2.68591940e-02, ...,\n",
+              "         -2.31788009e-02, -2.33813375e-02, -2.34001204e-02]],\n",
+              "\n",
+              "       [[-1.19058788e-03, -1.16700679e-03, -1.17257237e-03, ...,\n",
+              "         -1.16243958e-03, -1.02279335e-03, -9.55920666e-04],\n",
+              "        [-1.29325598e-01, -1.29241347e-01, -1.29241914e-01, ...,\n",
+              "         -1.12442717e-01, -1.12462208e-01, -1.12422116e-01],\n",
+              "        [ 9.91601229e-01,  9.91612315e-01,  9.91612315e-01, ...,\n",
+              "          9.93657291e-01,  9.93655324e-01,  9.93659675e-01]]],\n",
+              "      shape=(3, 3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angrt_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.001953 -0.001953 ... -0.001953</div><input id='attrs-fec42e91-87c5-4202-80e7-3426ce4d8669' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fec42e91-87c5-4202-80e7-3426ce4d8669' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af786cbd-befd-49dd-aaa6-213153ca8626' class='xr-var-data-in' type='checkbox'><label for='data-af786cbd-befd-49dd-aaa6-213153ca8626' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>rad s-1</dd><dt><span>long_name :</span></dt><dd>Angular Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[-0.00195312, -0.00195312, -0.00195312, ..., -0.00097656,\n",
+              "        -0.00195312, -0.00390625],\n",
+              "       [ 0.        ,  0.        ,  0.00097656, ...,  0.00097656,\n",
+              "         0.        ,  0.00097656],\n",
+              "       [-0.00292969, -0.00292969, -0.00292969, ..., -0.00292969,\n",
+              "        -0.00292969, -0.00195312]], shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quaternions_b5</span></div><div class='xr-var-dims'>(q, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.6245 0.6245 ... 0.7787 0.7786</div><input id='attrs-1d0e8b83-9e37-4b6b-88ac-e7617f742970' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d0e8b83-9e37-4b6b-88ac-e7617f742970' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99ca2ceb-85b5-411d-b360-d3cce4b1b114' class='xr-var-data-in' type='checkbox'><label for='data-99ca2ceb-85b5-411d-b360-d3cce4b1b114' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Quaternions</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.6244507 ,  0.62454224,  0.6245117 , ...,  0.625     ,\n",
+              "         0.6247864 ,  0.62490845],\n",
+              "       [-0.04101562, -0.04098511, -0.04098511, ..., -0.03570557,\n",
+              "        -0.03564453, -0.03561401],\n",
+              "       [-0.0501709 , -0.05014038, -0.05014038, ..., -0.04354858,\n",
+              "        -0.04360962, -0.04360962],\n",
+              "       [ 0.77835083,  0.7782898 ,  0.7783203 , ...,  0.77856445,\n",
+              "         0.77874756,  0.7786255 ]], shape=(4, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xmit_energy_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>65 65 65 65 65 ... 65 65 65 65 65</div><input id='attrs-5a065413-6b6a-41dc-9809-49b03ff14282' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a065413-6b6a-41dc-9809-49b03ff14282' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0dd6d596-251a-4cbd-a9c7-a185a37a40d7' class='xr-var-data-in' type='checkbox'><label for='data-0dd6d596-251a-4cbd-a9c7-a185a37a40d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Sound Pressure Level of Acoustic Signal</dd></dl></div><div class='xr-var-data'><pre>array([65, 65, 65, ..., 65, 65, 65], shape=(55000,), dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>low_volt_skip</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-94e5f453-580f-46d5-a3e1-c98f66e188b8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-94e5f453-580f-46d5-a3e1-c98f66e188b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-558f4719-a032-456c-a850-1f6bf832b8d5' class='xr-var-data-in' type='checkbox'><label for='data-558f4719-a032-456c-a850-1f6bf832b8d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(55000,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>active_config</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-4fa2a0c1-2971-41a3-9c65-f76fff37b088' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4fa2a0c1-2971-41a3-9c65-f76fff37b088' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8002079f-244a-4ceb-8cc3-0b3ff11bfe21' class='xr-var-data-in' type='checkbox'><label for='data-8002079f-244a-4ceb-8cc3-0b3ff11bfe21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(55000,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>telemetry_data</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-a83d3d94-1a3a-4cb2-a31d-3416574e0700' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a83d3d94-1a3a-4cb2-a31d-3416574e0700' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c03baa61-7f7b-4589-aa87-ace245eed6b6' class='xr-var-data-in' type='checkbox'><label for='data-c03baa61-7f7b-4589-aa87-ace245eed6b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(55000,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>boost_running</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 1 0 0 0 0 0 0 1</div><input id='attrs-ab267b70-1cc2-4e4a-a1d8-7d0d77c03942' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ab267b70-1cc2-4e4a-a1d8-7d0d77c03942' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-039441bd-4caa-42f0-8319-9dd547513069' class='xr-var-data-in' type='checkbox'><label for='data-039441bd-4caa-42f0-8319-9dd547513069' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 1], shape=(55000,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heading</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-12.52 -12.51 ... -12.52 -12.5</div><input id='attrs-012d6206-c1ce-4d14-b3b8-fd268838cb12' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-012d6206-c1ce-4d14-b3b8-fd268838cb12' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0042280-4de0-412b-8c61-d5327fb12280' class='xr-var-data-in' type='checkbox'><label for='data-b0042280-4de0-412b-8c61-d5327fb12280' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Heading</dd><dt><span>standard_name :</span></dt><dd>platform_orientation</dd></dl></div><div class='xr-var-data'><pre>array([-12.52    , -12.505001, -12.51    , ..., -12.490002, -12.52    ,\n",
+              "       -12.500001], shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pitch</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.065 -0.06 -0.06 ... -0.05 -0.05</div><input id='attrs-5ff03634-faa3-4fe4-a27c-aa2ebc0178da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ff03634-faa3-4fe4-a27c-aa2ebc0178da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9179fff0-3844-46c7-ae3c-a97d407114fe' class='xr-var-data-in' type='checkbox'><label for='data-9179fff0-3844-46c7-ae3c-a97d407114fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Pitch</dd><dt><span>standard_name :</span></dt><dd>platform_pitch</dd></dl></div><div class='xr-var-data'><pre>array([-0.065, -0.06 , -0.06 , ..., -0.06 , -0.05 , -0.05 ],\n",
+              "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>roll</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.425 -7.42 -7.42 ... -6.45 -6.45</div><input id='attrs-3c2323c0-917d-466e-aab9-9a4404e55101' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c2323c0-917d-466e-aab9-9a4404e55101' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43541028-b402-464d-9d1b-39fec6098a51' class='xr-var-data-in' type='checkbox'><label for='data-43541028-b402-464d-9d1b-39fec6098a51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Roll</dd><dt><span>standard_name :</span></dt><dd>platform_roll</dd></dl></div><div class='xr-var-data'><pre>array([-7.4250007, -7.42     , -7.42     , ..., -6.45     , -6.45     ,\n",
+              "       -6.45     ], shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beam2inst_orientmat</span></div><div class='xr-var-dims'>(x1, x2)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.183 0.0 -1.183 ... 0.0 0.5518</div><input id='attrs-4a5dc191-1b80-40d2-a8e0-c030a91ba634' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a5dc191-1b80-40d2-a8e0-c030a91ba634' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aaa67dd1-de49-4d21-b267-80967ce2edeb' class='xr-var-data-in' type='checkbox'><label for='data-aaa67dd1-de49-4d21-b267-80967ce2edeb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Rotation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.1831,  0.    , -1.1831,  0.    ],\n",
+              "       [ 0.    , -1.1831,  0.    ,  1.1831],\n",
+              "       [ 0.5518,  0.    ,  0.5518,  0.    ],\n",
+              "       [ 0.    ,  0.5518,  0.    ,  0.5518]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a052cbed-5b22-47f3-a394-0968cd5f6c80' class='xr-section-summary-in' type='checkbox'  ><label for='section-a052cbed-5b22-47f3-a394-0968cd5f6c80' class='xr-section-summary' >Attributes: <span>(34)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>filehead_config :</span></dt><dd>{&quot;CLOCKSTR&quot;: {&quot;TIME&quot;: &quot;\\&quot;2020-08-13 13:56:21\\&quot;&quot;}, &quot;ID&quot;: &quot;STR=\\&quot;Signature1000\\&quot;,SN=101663&quot;, &quot;HW&quot;: {&quot;FW&quot;: 2212, &quot;FPGA&quot;: 169, &quot;DIGITAL&quot;: &quot;\\&quot;I-3\\&quot;&quot;, &quot;INTERFACE&quot;: &quot;\\&quot;H-2\\&quot;&quot;, &quot;ANALOG&quot;: &quot;\\&quot;G-1\\&quot;&quot;, &quot;SENSOR&quot;: &quot;\\&quot;D-1(AHRS)\\&quot;&quot;, &quot;BOOT&quot;: 21, &quot;FWMINOR&quot;: 11}, &quot;BOARDSENSGET&quot;: &quot;AV=23,NB=5,HF=1000,TTR=2.0000,TTRB5=2.0000&quot;, &quot;PWR&quot;: {&quot;PLAN&quot;: 1940.43, &quot;BURST&quot;: 1937.69, &quot;AVG&quot;: 0.0, &quot;PLAN1&quot;: 0.0, &quot;BURST1&quot;: 0.0, &quot;AVG1&quot;: 0.0, &quot;TOTAL&quot;: 1940.43}, &quot;MEM&quot;: {&quot;PLAN&quot;: 2.733, &quot;BURST&quot;: 2.733, &quot;AVG&quot;: 0.0, &quot;PLAN1&quot;: 0.0, &quot;BURST1&quot;: 0.0, &quot;AVG1&quot;: 0.0, &quot;TOTAL&quot;: 2.733}, &quot;PRECISION&quot;: {&quot;AVGHORZ&quot;: -9.99, &quot;BURSTHORZ&quot;: 2.6, &quot;BEAM5&quot;: 1.62, &quot;AVGBEAM&quot;: -9.99, &quot;BURSTBEAM&quot;: 1.55}, &quot;PLAN&quot;: {&quot;MIAVG&quot;: 600, &quot;AVG&quot;: 0, &quot;DIAVG&quot;: 0, &quot;VD&quot;: 0, &quot;MV&quot;: 10, &quot;SA&quot;: 32.0, &quot;BURST&quot;: 1, &quot;MIBURST&quot;: 1, &quot;DIBURST&quot;: 0, &quot;SV&quot;: 0.0, &quot;FN&quot;: &quot;\\&quot;S101663A007_sea_spider.ad2cp\\&quot;&quot;, &quot;SO&quot;: 0, &quot;FREQ&quot;: 1000, &quot;NSTT&quot;: 0}, &quot;BURST&quot;: {&quot;NC&quot;: 28, &quot;NB&quot;: 5, &quot;CS&quot;: 0.5, &quot;BD&quot;: 0.1, &quot;CY&quot;: &quot;\\&quot;ENU\\&quot;&quot;, &quot;PL&quot;: 0.0, &quot;SR&quot;: 1, &quot;NS&quot;: 1, &quot;VR&quot;: 2.5, &quot;VP&quot;: 0.0, &quot;DF&quot;: 3, &quot;NPING&quot;: 8, &quot;CH&quot;: 0, &quot;ALTI&quot;: 0, &quot;VR5&quot;: 2.5, &quot;BT&quot;: 0, &quot;DISV&quot;: 0, &quot;ECHO&quot;: 0, &quot;RAWALTI&quot;: 60, &quot;ALTISTART&quot;: 0.1, &quot;ALTIEND&quot;: 30.0, &quot;HR&quot;: 0, &quot;HR5&quot;: 0}, &quot;XFBURST&quot;: {&quot;ROWS&quot;: 4, &quot;COLS&quot;: 4, &quot;M11&quot;: 1.1831, &quot;M12&quot;: 0.0, &quot;M13&quot;: -1.1831, &quot;M14&quot;: 0.0, &quot;M21&quot;: 0.0, &quot;M22&quot;: -1.1831, &quot;M23&quot;: 0.0, &quot;M24&quot;: 1.1831, &quot;M31&quot;: 0.5518, &quot;M32&quot;: 0.0, &quot;M33&quot;: 0.5518, &quot;M34&quot;: 0.0, &quot;M41&quot;: 0.0, &quot;M42&quot;: 0.5518, &quot;M43&quot;: 0.0, &quot;M44&quot;: 0.5518}, &quot;USER&quot;: {&quot;POFF&quot;: 10.2, &quot;DECL&quot;: 0.0, &quot;HX&quot;: -48, &quot;HY&quot;: 48, &quot;HZ&quot;: 0}, &quot;INST&quot;: {&quot;BR&quot;: 9600, &quot;RS&quot;: 232, &quot;LED&quot;: &quot;\\&quot;OFF\\&quot;&quot;, &quot;ORIENT&quot;: &quot;\\&quot;AHRS3D\\&quot;&quot;, &quot;CMTOUT&quot;: 300, &quot;DMTOUT&quot;: 60, &quot;CFMTOUT&quot;: 60}, &quot;COMPASSCAL&quot;: {&quot;DX&quot;: 155, &quot;DY&quot;: 778, &quot;DZ&quot;: -486, &quot;M11&quot;: 31481, &quot;M12&quot;: 1726, &quot;M13&quot;: -1109, &quot;M21&quot;: -1955, &quot;M22&quot;: 32767, &quot;M23&quot;: 379, &quot;M31&quot;: 750, &quot;M32&quot;: -1851, &quot;M33&quot;: 31699}, &quot;READAHRS&quot;: &quot;STR=\\&quot;OSv6_a2_V5101_0.6 Oct  3 2019, SerialNumber=60004222,type=OS3DM\\&quot;&quot;, &quot;RECSTAT&quot;: &quot;SS=512,CS=32768,FC=127813877760,TC=127848677376,VS=127848677376&quot;, &quot;BEAMCFGLIST&quot;: [&quot;BEAM=1,THETA=25.00,PHI=0.00,FREQ=1000,BW=25,BRD=1,HWBEAM=1,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=2,THETA=25.00,PHI=-90.00,FREQ=1000,BW=25,BRD=1,HWBEAM=2,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=3,THETA=25.00,PHI=180.00,FREQ=1000,BW=25,BRD=1,HWBEAM=3,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=4,THETA=25.00,PHI=90.00,FREQ=1000,BW=25,BRD=1,HWBEAM=4,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=5,THETA=0.00,PHI=0.00,FREQ=1000,BW=25,BRD=1,HWBEAM=5,ZNOM=60.00,DIA=0.0&quot;], &quot;BEAMIMPLIST&quot;: [&quot;BEAM=1,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=2,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=3,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=4,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=5,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;], &quot;LISTLICENSE&quot;: [&quot;KEY=\\&quot;C390Y1LU32C1B\\&quot;,DESC=\\&quot;Averaging Mode\\&quot;,TYPE=1&quot;, &quot;KEY=\\&quot;6F2UB3HTH2C1B\\&quot;,DESC=\\&quot;Burst Five Beams\\&quot;,TYPE=17&quot;, &quot;KEY=\\&quot;R0X9JSZPH2C1B\\&quot;,DESC=\\&quot;128GB Recorder\\&quot;,TYPE=14&quot;], &quot;CALCOMPGET&quot;: &quot;DX=155,DY=778,DZ=-486,M11=31481,M12=1726,M13=-1109,M21=-1955,M22=32767,M23=379,M31=750,M32=-1851,M33=31699&quot;, &quot;CALTEMPGET&quot;: &quot;SC=0.99906&quot;, &quot;CALTILTGET&quot;: &quot;PO=0.00,RO=0.00,MAGG=1,HO=0.00&quot;, &quot;CALACCLGET&quot;: [&quot;AX=1.000000E+00,B0X=1.791816E-02,B1X=-1.795970E-02,B2X=6.661898E-04,B3X=0.000000E+00,A1X=1.146936E-05,A2X=7.326843E-06,A3X=0.000000E+00&quot;, &quot;AY=1.000000E+00,B0Y=9.597497E-03,B1Y=-8.430577E-03,B2Y=9.310668E-04,B3Y=0.000000E+00,A1Y=7.215003E-05,A2Y=1.361528E-06,A3Y=0.000000E+00&quot;, &quot;AZ=1.000000E+00,B0Z=1.290458E-02,B1Z=2.959575E-02,B2Z=2.331257E-03,B3Z=0.000000E+00,A1Z=1.164268E-04,A2Z=-2.166612E-06,A3Z=0.000000E+00&quot;], &quot;CALGYROGET&quot;: [&quot;AX=1.094973E+00,B0X=-2.672331E+00,B1X=-1.493178E-03,B2X=9.496510E-05,B3X=0.000000E+00,A1X=2.702698E-04,A2X=8.100271E-05,A3X=0.000000E+00&quot;, &quot;AY=1.080807E+00,B0Y=3.432283E-01,B1Y=7.219538E-04,B2Y=1.416728E-04,B3Y=0.000000E+00,A1Y=9.466633E-04,A2Y=-4.216283E-05,A3Y=0.000000E+00&quot;, &quot;AZ=1.085556E+00,B0Z=-9.442614E-01,B1Z=6.433576E-04,B2Z=-1.306087E-05,B3Z=0.000000E+00,A1Z=1.430541E-03,A2Z=-7.494539E-05,A3Z=0.000000E+00&quot;], &quot;CALPRESSGET&quot;: &quot;MT=1,RREF=4.5264760000e+02,RB0=7.7074756250e-01,RB1=-7.5541806250e-02,RB2=4.9886362500e-04,RB3=-1.4193179690e-07,T0=-2.4234620000e+03,T1=1.8815180000e+00,T2=-5.0111803130e-04,T3=4.7281500000e-08,ID=\\&quot;K244314\\&quot;&quot;, &quot;CALPRESSCOEFFGET&quot;: [&quot;A0=6.3850020000e+00,A1=-5.6274000000e-03,A2=1.6346411250e-06,A3=-1.6029240630e-10,B0=-2.6056009380e-01,B1=3.1699690630e-04,B2=-9.0774206250e-08,B3=8.5142393750e-12&quot;, &quot;C0=-1.2762860000e-03,C1=1.1561740000e-06,C2=-3.5109818750e-10,C3=3.5575718750e-14,D0=3.6002040630e-06,D1=-3.3359181250e-09,D2=1.0241850000e-12,D3=-1.0446648750e-16&quot;], &quot;CALROTACCLGET&quot;: &quot;M11=0.99144,M12=0.00991,M13=-0.03081,M21=-0.00921,M22=0.99564,M23=0.01131,M31=0.03451,M32=-0.01242,M33=0.98426&quot;, &quot;CALROTGYROGET&quot;: &quot;M11=1.00000,M12=0.00803,M13=-0.02685,M21=-0.00933,M22=1.00000,M23=0.01646,M31=0.02587,M32=-0.01599,M33=1.00000&quot;, &quot;CALECHOGET&quot;: &quot;CHA0=0.00,CHB0=-17.69,CHC0=0.00&quot;}</dd><dt><span>inst_model :</span></dt><dd>Signature1000</dd><dt><span>inst_make :</span></dt><dd>Nortek</dd><dt><span>inst_type :</span></dt><dd>ADCP</dd><dt><span>burst_config :</span></dt><dd>{&quot;press_valid&quot;: true, &quot;temp_valid&quot;: true, &quot;compass_valid&quot;: true, &quot;tilt_valid&quot;: true, &quot;vel&quot;: true, &quot;amp&quot;: true, &quot;corr&quot;: true, &quot;le&quot;: false, &quot;altraw&quot;: false, &quot;ast&quot;: false, &quot;echo&quot;: false, &quot;ahrs&quot;: true, &quot;p_gd&quot;: false, &quot;std&quot;: false}</dd><dt><span>n_cells :</span></dt><dd>28</dd><dt><span>n_beams :</span></dt><dd>4</dd><dt><span>ambig_vel :</span></dt><dd>5.066</dd><dt><span>SerialNum :</span></dt><dd>101663</dd><dt><span>nominal_corr :</span></dt><dd>67</dd><dt><span>cell_size :</span></dt><dd>0.5</dd><dt><span>blank_dist :</span></dt><dd>0.1</dd><dt><span>power_level_dB :</span></dt><dd>0.0</dd><dt><span>burst_config_b5 :</span></dt><dd>{&quot;press_valid&quot;: true, &quot;temp_valid&quot;: true, &quot;compass_valid&quot;: true, &quot;tilt_valid&quot;: true, &quot;vel&quot;: true, &quot;amp&quot;: true, &quot;corr&quot;: true, &quot;le&quot;: false, &quot;altraw&quot;: false, &quot;ast&quot;: false, &quot;echo&quot;: false, &quot;ahrs&quot;: true, &quot;p_gd&quot;: false, &quot;std&quot;: false}</dd><dt><span>n_cells_b5 :</span></dt><dd>28</dd><dt><span>coord_sys_axes_b5 :</span></dt><dd>beam</dd><dt><span>n_beams_b5 :</span></dt><dd>1</dd><dt><span>ambig_vel_b5 :</span></dt><dd>5.066</dd><dt><span>SerialNum_b5 :</span></dt><dd>101663</dd><dt><span>nominal_corr_b5 :</span></dt><dd>65</dd><dt><span>cell_size_b5 :</span></dt><dd>0.5</dd><dt><span>blank_dist_b5 :</span></dt><dd>0.1</dd><dt><span>power_level_dB_b5 :</span></dt><dd>0.0</dd><dt><span>wakeup_state :</span></dt><dd>clock</dd><dt><span>orientation :</span></dt><dd>AHRS</dd><dt><span>orient_status :</span></dt><dd>AHRS-3D</dd><dt><span>proc_idle_less_3pct :</span></dt><dd>0</dd><dt><span>proc_idle_less_6pct :</span></dt><dd>0</dd><dt><span>proc_idle_less_12pct :</span></dt><dd>0</dd><dt><span>rotate_vars :</span></dt><dd>[&#x27;vel&#x27;, &#x27;accel&#x27;, &#x27;accel_b5&#x27;, &#x27;angrt&#x27;, &#x27;angrt_b5&#x27;, &#x27;mag&#x27;, &#x27;mag_b5&#x27;]</dd><dt><span>coord_sys :</span></dt><dd>earth</dd><dt><span>fs :</span></dt><dd>1</dd><dt><span>has_imu :</span></dt><dd>1</dd><dt><span>beam_angle :</span></dt><dd>25</dd></dl></div></li></ul></div></div>"
+            ],
+            "text/plain": [
+              "<xarray.Dataset> Size: 83MB\n",
+              "Dimensions:              (time: 55000, time_b5: 55000, range: 28, range_b5: 28,\n",
+              "                          beam: 4, dir: 4, dirIMU: 3, earth: 3, inst: 3, q: 4,\n",
+              "                          x1: 4, x2: 4)\n",
+              "Coordinates:\n",
+              "  * time                 (time) datetime64[ns] 440kB 2020-08-15T00:20:00.5009...\n",
+              "  * time_b5              (time_b5) datetime64[ns] 440kB 2020-08-15T00:20:00.4...\n",
+              "  * range                (range) float64 224B 0.6 1.1 1.6 2.1 ... 13.1 13.6 14.1\n",
+              "  * range_b5             (range_b5) float64 224B 0.6 1.1 1.6 ... 13.1 13.6 14.1\n",
+              "  * beam                 (beam) int32 16B 1 2 3 4\n",
+              "  * dir                  (dir) <U2 32B 'E' 'N' 'U1' 'U2'\n",
+              "  * dirIMU               (dirIMU) <U1 12B 'E' 'N' 'U'\n",
+              "  * earth                (earth) <U1 12B 'E' 'N' 'U'\n",
+              "  * inst                 (inst) <U1 12B 'X' 'Y' 'Z'\n",
+              "  * q                    (q) <U1 16B 'w' 'x' 'y' 'z'\n",
+              "  * x1                   (x1) int32 16B 1 2 3 4\n",
+              "  * x2                   (x2) int32 16B 1 2 3 4\n",
+              "Data variables: (12/38)\n",
+              "    c_sound              (time) float32 220kB 1.502e+03 1.502e+03 ... 1.498e+03\n",
+              "    temp                 (time) float32 220kB 14.55 14.55 14.55 ... 13.47 13.47\n",
+              "    pressure             (time) float32 220kB 9.713 9.718 9.718 ... 9.594 9.596\n",
+              "    mag                  (dirIMU, time) float32 660kB 72.5 72.7 ... -195.7\n",
+              "    accel                (dirIMU, time) float32 660kB -0.00479 ... 9.729\n",
+              "    batt                 (time) float32 220kB 16.6 16.6 16.6 ... 16.4 16.4 15.2\n",
+              "    ...                   ...\n",
+              "    telemetry_data       (time) uint8 55kB 0 0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0\n",
+              "    boost_running        (time) uint8 55kB 0 0 0 0 0 0 0 0 1 ... 1 0 0 0 0 0 0 1\n",
+              "    heading              (time) float32 220kB -12.52 -12.51 ... -12.52 -12.5\n",
+              "    pitch                (time) float32 220kB -0.065 -0.06 -0.06 ... -0.05 -0.05\n",
+              "    roll                 (time) float32 220kB -7.425 -7.42 -7.42 ... -6.45 -6.45\n",
+              "    beam2inst_orientmat  (x1, x2) float32 64B 1.183 0.0 -1.183 ... 0.0 0.5518\n",
+              "Attributes: (12/34)\n",
+              "    filehead_config:       {\"CLOCKSTR\": {\"TIME\": \"\\\"2020-08-13 13:56:21\\\"\"}, ...\n",
+              "    inst_model:            Signature1000\n",
+              "    inst_make:             Nortek\n",
+              "    inst_type:             ADCP\n",
+              "    burst_config:          {\"press_valid\": true, \"temp_valid\": true, \"compass...\n",
+              "    n_cells:               28\n",
+              "    ...                    ...\n",
+              "    proc_idle_less_12pct:  0\n",
+              "    rotate_vars:           ['vel', 'accel', 'accel_b5', 'angrt', 'angrt_b5', ...\n",
+              "    coord_sys:             earth\n",
+              "    fs:                    1\n",
+              "    has_imu:               1\n",
+              "    beam_angle:            25"
+            ]
+          },
+          "execution_count": 3,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "# print the dataset\n",
+        "ds"
       ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "vel = ds[\"vel\"]\n",
-    "\n",
-    "vel_dim = [d for d in vel.dims if d in (\"dir\", \"earth\", \"inst\", \"beam\")][0]\n",
-    "labels = vel.coords[vel_dim].values\n",
-    "\n",
-    "fig, axes = plt.subplots(len(labels), 1, figsize=(8, 3 * len(labels)), sharex=True)\n",
-    "\n",
-    "if len(labels) == 1:\n",
-    "    axes = [axes]\n",
-    "\n",
-    "for ax_i, label in zip(axes, labels):\n",
-    "    values = vel.sel({vel_dim: label}).values.ravel()\n",
-    "    values = values[np.isfinite(values)]\n",
-    "\n",
-    "    ax_i.hist(values, bins=50, color=\"steelblue\", edgecolor=\"black\", alpha=0.8)\n",
-    "    ax_i.set_title(f\"Velocity histogram: {label}\")\n",
-    "    ax_i.set_ylabel(\"Count\")\n",
-    "\n",
-    "axes[-1].set_xlabel(\"Velocity [m/s]\")\n",
-    "plt.tight_layout()"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 2. Initial Steps for Data Quality Control (QC)\n",
-    "\n",
-    "### 2.1: Set the Deployment Height\n",
-    "\n",
-    "When using Nortek instruments, the deployment software does not factor in the deployment height. The deployment height represents the position of the Acoustic Doppler Current Profiler (ADCP) within the water column. \n",
-    "\n",
-    "In this context, the center of the first depth bin is situated at a distance that is the sum of three elements: \n",
-    "1. Deployment height (the ADCP's position in the water column)\n",
-    "2. Blanking distance (the minimum distance from the ADCP to the first measurement point)\n",
-    "3. Cell size (the vertical distance of each measurement bin in the water column)\n",
-    "\n",
-    "To ensure accurate readings, it is critical to calibrate the 'range' coordinate to make '0' correspond to either the seafloor or sea surface. This calibration can be achieved using the `set_range_offset` function. \n",
-    "\n",
-    "For those using a Teledyne RDI ADCP, the TRDI deployment software will prompt you to specify the deployment height/depth during setup in order to automatically calculate water depth. If there's a need for calibration post-deployment, the `set_range_offset` function can be utilized in the same way as described above to override the initially specified value."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
+    },
     {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1500x400 with 6 Axes>"
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "A second way provided to look at data is through the *DOLfYN view*. This view has several convenience methods, shortcuts, and functions built-in. It includes an alternate – and somewhat more informative/compact – description of the data object when in interactive mode. This can be accessed using"
       ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, axes = plt.subplots(1, 3, figsize=(15, 4))\n",
-    "\n",
-    "for i, ax in enumerate(axes):\n",
-    "    ds[\"vel\"][i].plot(ax=ax)\n",
-    "    ax.set_title(ds[\"vel\"].coords[\"dir\"].values[i])\n",
-    "    ax.tick_params(axis=\"x\", labelrotation=45)\n",
-    "\n",
-    "plt.tight_layout()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# The ADCP transducers were measured to be 0.6 m from the feet of the lander\n",
-    "api.clean.set_range_offset(ds, 0.6)"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "So, the center of bin 1 is located at 1.2 m, with a constant a 0.5m bin size. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 4,
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "<ADCP data object>:  Nortek Signature1000\n",
+              "  . 15.28 hours (started: Aug 15, 2020 00:20)\n",
+              "  . earth-frame\n",
+              "  . (55000 pings @ 1Hz)\n",
+              "  Variables:\n",
+              "  - time ('time',)\n",
+              "  - time_b5 ('time_b5',)\n",
+              "  - vel ('dir', 'range', 'time')\n",
+              "  - vel_b5 ('range_b5', 'time_b5')\n",
+              "  - range ('range',)\n",
+              "  - orientmat ('earth', 'inst', 'time')\n",
+              "  - heading ('time',)\n",
+              "  - pitch ('time',)\n",
+              "  - roll ('time',)\n",
+              "  - temp ('time',)\n",
+              "  - pressure ('time',)\n",
+              "  - amp ('beam', 'range', 'time')\n",
+              "  - amp_b5 ('range_b5', 'time_b5')\n",
+              "  - corr ('beam', 'range', 'time')\n",
+              "  - corr_b5 ('range_b5', 'time_b5')\n",
+              "  - accel ('dirIMU', 'time')\n",
+              "  - angrt ('dirIMU', 'time')\n",
+              "  - mag ('dirIMU', 'time')\n",
+              "  ... and others (see `<obj>.variables`)"
+            ]
+          },
+          "execution_count": 4,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "ds_dolfyn = ds.velds\n",
+        "ds_dolfyn"
+      ]
+    },
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "      Statistic  Value\n",
-      "0           min    1.2\n",
-      "1           max   14.7\n",
-      "2  mean spacing    0.5\n",
-      "3   max spacing    0.5\n",
-      "4   min spacing    0.5\n"
-     ]
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "One way to visualize this data is to plot the velocity in a histogram. This will highlight any outliers."
+      ]
     },
     {
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-       "  --xr-disabled-color: var(\n",
-       "    --jp-layout-color3,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
-       "  );\n",
-       "  --xr-background-color: var(\n",
-       "    --jp-layout-color0,\n",
-       "    var(--pst-color-on-background, white)\n",
-       "  );\n",
-       "  --xr-background-color-row-even: var(\n",
-       "    --jp-layout-color1,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
-       "  );\n",
-       "  --xr-background-color-row-odd: var(\n",
-       "    --jp-layout-color2,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
-       "  );\n",
-       "}\n",
-       "\n",
-       "html[theme=\"dark\"],\n",
-       "html[data-theme=\"dark\"],\n",
-       "body[data-theme=\"dark\"],\n",
-       "body.vscode-dark {\n",
-       "  --xr-font-color0: var(\n",
-       "    --jp-content-font-color0,\n",
-       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
-       "  );\n",
-       "  --xr-font-color2: var(\n",
-       "    --jp-content-font-color2,\n",
-       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
-       "  );\n",
-       "  --xr-font-color3: var(\n",
-       "    --jp-content-font-color3,\n",
-       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
-       "  );\n",
-       "  --xr-border-color: var(\n",
-       "    --jp-border-color2,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
-       "  );\n",
-       "  --xr-disabled-color: var(\n",
-       "    --jp-layout-color3,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
-       "  );\n",
-       "  --xr-background-color: var(\n",
-       "    --jp-layout-color0,\n",
-       "    var(--pst-color-on-background, #111111)\n",
-       "  );\n",
-       "  --xr-background-color-row-even: var(\n",
-       "    --jp-layout-color1,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
-       "  );\n",
-       "  --xr-background-color-row-odd: var(\n",
-       "    --jp-layout-color2,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
-       "  );\n",
-       "}\n",
-       "\n",
-       ".xr-wrap {\n",
-       "  display: block !important;\n",
-       "  min-width: 300px;\n",
-       "  max-width: 700px;\n",
-       "  line-height: 1.6;\n",
-       "}\n",
-       "\n",
-       ".xr-text-repr-fallback {\n",
-       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-header {\n",
-       "  padding-top: 6px;\n",
-       "  padding-bottom: 6px;\n",
-       "  margin-bottom: 4px;\n",
-       "  border-bottom: solid 1px var(--xr-border-color);\n",
-       "}\n",
-       "\n",
-       ".xr-header > div,\n",
-       ".xr-header > ul {\n",
-       "  display: inline;\n",
-       "  margin-top: 0;\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type,\n",
-       ".xr-obj-name,\n",
-       ".xr-group-name {\n",
-       "  margin-left: 2px;\n",
-       "  margin-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-name::before {\n",
-       "  content: \"📁\";\n",
-       "  padding-right: 0.3em;\n",
-       "}\n",
-       "\n",
-       ".xr-group-name,\n",
-       ".xr-obj-type {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-sections {\n",
-       "  padding-left: 0 !important;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
-       "  margin-block-start: 0;\n",
-       "  margin-block-end: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input {\n",
-       "  display: inline-block;\n",
-       "  opacity: 0;\n",
-       "  height: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input + label {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "  border: 2px solid transparent !important;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label {\n",
-       "  cursor: pointer;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:focus + label {\n",
-       "  border: 2px solid var(--xr-font-color0) !important;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label:hover {\n",
-       "  color: var(--xr-font-color0);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary {\n",
-       "  grid-column: 1;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  font-weight: 500;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.5em;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in + label:before {\n",
-       "  display: inline-block;\n",
-       "  content: \"►\";\n",
-       "  font-size: 11px;\n",
-       "  width: 15px;\n",
-       "  text-align: center;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label:before {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label:before {\n",
-       "  content: \"▼\";\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary,\n",
-       ".xr-section-inline-details {\n",
-       "  padding-top: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-details {\n",
-       "  display: none;\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-top: 4px;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box {\n",
-       "  display: inline-grid;\n",
-       "  grid-template-columns: 0px 20px auto;\n",
-       "  width: 100%;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-vline {\n",
-       "  grid-column-start: 1;\n",
-       "  border-right: 0.2em solid;\n",
-       "  border-color: var(--xr-border-color);\n",
-       "  width: 0px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-hline {\n",
-       "  grid-column-start: 2;\n",
-       "  grid-row-start: 1;\n",
-       "  height: 1em;\n",
-       "  width: 20px;\n",
-       "  border-bottom: 0.2em solid;\n",
-       "  border-color: var(--xr-border-color);\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents {\n",
-       "  grid-column-start: 3;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: \"(\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: \")\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: \",\";\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  border-color: var(--xr-background-color-row-odd);\n",
-       "  margin-bottom: 0;\n",
-       "  padding-top: 2px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "  border-color: var(--xr-background-color-row-even);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  border-top: 2px dotted var(--xr-background-color);\n",
-       "  padding-bottom: 20px !important;\n",
-       "  padding-top: 10px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in + label,\n",
-       ".xr-var-data-in + label,\n",
-       ".xr-index-data-in + label {\n",
-       "  padding: 0 1px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > pre,\n",
-       ".xr-index-data > pre,\n",
-       ".xr-var-data > table > tbody > tr {\n",
-       "  background-color: transparent !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
-       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
-       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
-       "  color: var(--xr-font-color0);\n",
-       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
-       "  stroke-width: 0.8px;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;range&#x27; (range: 28)&gt; Size: 224B\n",
-       "array([ 1.2,  1.7,  2.2,  2.7,  3.2,  3.7,  4.2,  4.7,  5.2,  5.7,  6.2,  6.7,\n",
-       "        7.2,  7.7,  8.2,  8.7,  9.2,  9.7, 10.2, 10.7, 11.2, 11.7, 12.2, 12.7,\n",
-       "       13.2, 13.7, 14.2, 14.7])\n",
-       "Coordinates:\n",
-       "  * range    (range) float64 224B 1.2 1.7 2.2 2.7 3.2 ... 13.2 13.7 14.2 14.7\n",
-       "Attributes:\n",
-       "    coverage_content_type:  coordinate\n",
-       "    units:                  m\n",
-       "    long_name:              Profile Range\n",
-       "    description:            Distance to the center of each depth bin</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>&#x27;range&#x27;</div><ul class='xr-dim-list'><li><span class='xr-has-index'>range</span>: 28</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0025dbc2-44e5-46bc-869d-1190c9602df2' class='xr-array-in' type='checkbox' checked><label for='section-0025dbc2-44e5-46bc-869d-1190c9602df2' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.2 1.7 2.2 2.7 3.2 3.7 4.2 4.7 ... 11.7 12.2 12.7 13.2 13.7 14.2 14.7</span></div><div class='xr-array-data'><pre>array([ 1.2,  1.7,  2.2,  2.7,  3.2,  3.7,  4.2,  4.7,  5.2,  5.7,  6.2,  6.7,\n",
-       "        7.2,  7.7,  8.2,  8.7,  9.2,  9.7, 10.2, 10.7, 11.2, 11.7, 12.2, 12.7,\n",
-       "       13.2, 13.7, 14.2, 14.7])</pre></div></div></li><li class='xr-section-item'><input id='section-96787b9e-7530-4068-862d-b28bdb67e527' class='xr-section-summary-in' type='checkbox'  checked><label for='section-96787b9e-7530-4068-862d-b28bdb67e527' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2 1.7 2.2 2.7 ... 13.7 14.2 14.7</div><input id='attrs-39f56f30-fd1a-4676-84cb-9afcfd108d49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39f56f30-fd1a-4676-84cb-9afcfd108d49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b45e0c4-31f4-4b55-b573-dfb44456c555' class='xr-var-data-in' type='checkbox'><label for='data-5b45e0c4-31f4-4b55-b573-dfb44456c555' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Profile Range</dd><dt><span>description :</span></dt><dd>Distance to the center of each depth bin</dd></dl></div><div class='xr-var-data'><pre>array([ 1.2,  1.7,  2.2,  2.7,  3.2,  3.7,  4.2,  4.7,  5.2,  5.7,  6.2,  6.7,\n",
-       "        7.2,  7.7,  8.2,  8.7,  9.2,  9.7, 10.2, 10.7, 11.2, 11.7, 12.2, 12.7,\n",
-       "       13.2, 13.7, 14.2, 14.7])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8fb59eb1-0655-463e-9953-677ac4364339' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8fb59eb1-0655-463e-9953-677ac4364339' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Profile Range</dd><dt><span>description :</span></dt><dd>Distance to the center of each depth bin</dd></dl></div></li></ul></div></div>"
+      "cell_type": "code",
+      "execution_count": 5,
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "image/png": 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",
+            "text/plain": [
+              "<Figure size 800x800 with 4 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
       ],
-      "text/plain": [
-       "<xarray.DataArray 'range' (range: 28)> Size: 224B\n",
-       "array([ 1.2,  1.7,  2.2,  2.7,  3.2,  3.7,  4.2,  4.7,  5.2,  5.7,  6.2,  6.7,\n",
-       "        7.2,  7.7,  8.2,  8.7,  9.2,  9.7, 10.2, 10.7, 11.2, 11.7, 12.2, 12.7,\n",
-       "       13.2, 13.7, 14.2, 14.7])\n",
-       "Coordinates:\n",
-       "  * range    (range) float64 224B 1.2 1.7 2.2 2.7 3.2 ... 13.2 13.7 14.2 14.7\n",
-       "Attributes:\n",
-       "    coverage_content_type:  coordinate\n",
-       "    units:                  m\n",
-       "    long_name:              Profile Range\n",
-       "    description:            Distance to the center of each depth bin"
+      "source": [
+        "vel = ds[\"vel\"]\n",
+        "\n",
+        "vel_dim = [d for d in vel.dims if d in (\"dir\", \"earth\", \"inst\", \"beam\")][0]\n",
+        "labels = vel.coords[vel_dim].values\n",
+        "\n",
+        "fig, axes = plt.subplots(len(labels), 1, figsize=(8, 2 * len(labels)), sharex=True)\n",
+        "\n",
+        "if len(labels) == 1:\n",
+        "    axes = [axes]\n",
+        "\n",
+        "for ax_i, label in zip(axes, labels):\n",
+        "    values = vel.sel({vel_dim: label}).values.ravel()\n",
+        "    values = values[np.isfinite(values)]\n",
+        "\n",
+        "    ax_i.hist(values, bins=50, color=\"steelblue\", edgecolor=\"black\", alpha=0.8)\n",
+        "    ax_i.set_title(f\"Velocity histogram: {label}\")\n",
+        "    ax_i.set_ylabel(\"Count\")\n",
+        "\n",
+        "axes[-1].set_xlabel(\"Velocity [m/s]\")\n",
+        "plt.tight_layout()"
       ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "range_da = ds[\"range\"]\n",
-    "spacing = range_da.diff(\"range\")\n",
-    "\n",
-    "range_stats = pd.DataFrame(\n",
-    "    {\n",
-    "        \"Statistic\": [\"min\", \"max\", \"mean spacing\", \"max spacing\", \"min spacing\"],\n",
-    "        \"Value\": [\n",
-    "            float(range_da.min().values),\n",
-    "            float(range_da.max().values),\n",
-    "            float(spacing.mean().values),\n",
-    "            float(spacing.max().values),\n",
-    "            float(spacing.min().values),\n",
-    "        ],\n",
-    "    }\n",
-    ")\n",
-    "\n",
-    "print(range_stats)\n",
-    "ds.range"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 2.2. Discard Data Above Surface Level and Surface Interference\n",
-    "\n",
-    "To reduce computational load, we can exclude all data at or above the water surface level, including that affected by surface interference. Since the instrument was oriented upwards, we can utilize the pressure sensor data along with the function `water_depth_from_pressure` to find the water depth. However, this approach necessitates that the pressure sensor was calibrated or 'zeroed' prior to deployment. If the instrument is facing downwards or doesn't include pressure data, the function `water_depth_from_amplitude` can be used to detect the seabed or water surface.\n",
-    "\n",
-    "It's important to note that Acoustic Doppler Current Profilers (ADCPs) do not measure water salinity, so you'll need to supply this information to the function. If `water_depth_from_pressure` is called after `set_range_offset`, \"depth\" represents the distance from the water surface to the seafloor. Otherwise, it indicates the distance to the ADCP pressure sensor.\n",
-    "\n",
-    "After determining the \"depth\", you can use the `remove_surface_interference` function to discard data in depth bins at or above the actual water surface. Be aware that this function will generate a new dataset."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "api.clean.water_depth_from_pressure(ds, salinity=31)\n",
-    "ds = api.clean.remove_surface_interference(ds)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
+    },
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-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
-       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
-       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
-       "  color: var(--xr-font-color0);\n",
-       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
-       "  stroke-width: 0.8px;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 84MB\n",
-       "Dimensions:              (time: 55000, time_b5: 55000, range: 28, range_b5: 28,\n",
-       "                          beam: 4, dir: 4, dirIMU: 3, earth: 3, inst: 3, q: 4,\n",
-       "                          x1: 4, x2: 4)\n",
-       "Coordinates:\n",
-       "  * time                 (time) datetime64[ns] 440kB 2020-08-15T00:20:00.5009...\n",
-       "  * time_b5              (time_b5) datetime64[ns] 440kB 2020-08-15T00:20:00.4...\n",
-       "  * range                (range) float64 224B 1.2 1.7 2.2 2.7 ... 13.7 14.2 14.7\n",
-       "  * range_b5             (range_b5) float64 224B 1.2 1.7 2.2 ... 13.7 14.2 14.7\n",
-       "  * beam                 (beam) int32 16B 1 2 3 4\n",
-       "  * dir                  (dir) &lt;U2 32B &#x27;E&#x27; &#x27;N&#x27; &#x27;U1&#x27; &#x27;U2&#x27;\n",
-       "  * dirIMU               (dirIMU) &lt;U1 12B &#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;\n",
-       "  * earth                (earth) &lt;U1 12B &#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;\n",
-       "  * inst                 (inst) &lt;U1 12B &#x27;X&#x27; &#x27;Y&#x27; &#x27;Z&#x27;\n",
-       "  * q                    (q) &lt;U1 16B &#x27;w&#x27; &#x27;x&#x27; &#x27;y&#x27; &#x27;z&#x27;\n",
-       "  * x1                   (x1) int32 16B 1 2 3 4\n",
-       "  * x2                   (x2) int32 16B 1 2 3 4\n",
-       "Data variables: (12/40)\n",
-       "    c_sound              (time) float32 220kB 1.502e+03 1.502e+03 ... 1.498e+03\n",
-       "    temp                 (time) float32 220kB 14.55 14.55 14.55 ... 13.47 13.47\n",
-       "    pressure             (time) float32 220kB 9.713 9.718 9.718 ... 9.594 9.596\n",
-       "    mag                  (dirIMU, time) float32 660kB 72.5 72.7 ... -195.7\n",
-       "    accel                (dirIMU, time) float32 660kB -0.00479 ... 9.729\n",
-       "    batt                 (time) float32 220kB 16.6 16.6 16.6 ... 16.4 16.4 15.2\n",
-       "    ...                   ...\n",
-       "    heading              (time) float32 220kB -12.52 -12.51 ... -12.52 -12.5\n",
-       "    pitch                (time) float32 220kB -0.065 -0.06 -0.06 ... -0.05 -0.05\n",
-       "    roll                 (time) float32 220kB -7.425 -7.42 -7.42 ... -6.45 -6.45\n",
-       "    beam2inst_orientmat  (x1, x2) float32 64B 1.183 0.0 -1.183 ... 0.0 0.5518\n",
-       "    water_density        (time) float32 220kB 1.023e+03 1.023e+03 ... 1.023e+03\n",
-       "    depth                (time) float32 220kB 10.28 10.28 10.28 ... 10.16 10.16\n",
-       "Attributes: (12/35)\n",
-       "    filehead_config:       {&quot;CLOCKSTR&quot;: {&quot;TIME&quot;: &quot;\\&quot;2020-08-13 13:56:21\\&quot;&quot;}, ...\n",
-       "    inst_model:            Signature1000\n",
-       "    inst_make:             Nortek\n",
-       "    inst_type:             ADCP\n",
-       "    burst_config:          {&quot;press_valid&quot;: true, &quot;temp_valid&quot;: true, &quot;compass...\n",
-       "    n_cells:               28\n",
-       "    ...                    ...\n",
-       "    rotate_vars:           [&#x27;vel&#x27;, &#x27;accel&#x27;, &#x27;accel_b5&#x27;, &#x27;angrt&#x27;, &#x27;angrt_b5&#x27;, ...\n",
-       "    coord_sys:             earth\n",
-       "    fs:                    1\n",
-       "    has_imu:               1\n",
-       "    beam_angle:            25\n",
-       "    range_offset:          0.6</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3b60b78a-3f53-4327-82a3-47a9d97f6e5a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3b60b78a-3f53-4327-82a3-47a9d97f6e5a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 55000</li><li><span class='xr-has-index'>time_b5</span>: 55000</li><li><span class='xr-has-index'>range</span>: 28</li><li><span class='xr-has-index'>range_b5</span>: 28</li><li><span class='xr-has-index'>beam</span>: 4</li><li><span class='xr-has-index'>dir</span>: 4</li><li><span class='xr-has-index'>dirIMU</span>: 3</li><li><span class='xr-has-index'>earth</span>: 3</li><li><span class='xr-has-index'>inst</span>: 3</li><li><span class='xr-has-index'>q</span>: 4</li><li><span class='xr-has-index'>x1</span>: 4</li><li><span class='xr-has-index'>x2</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3f52280c-ae51-4cbf-8f2d-6ff8e1f0fe68' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3f52280c-ae51-4cbf-8f2d-6ff8e1f0fe68' class='xr-section-summary' >Coordinates: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-08-15T00:20:00.500999927 .....</div><input id='attrs-d32184a9-e33e-415d-a267-542d575c5d56' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d32184a9-e33e-415d-a267-542d575c5d56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c042bb9-eec0-4f21-a04d-80f9c3b639a9' class='xr-var-data-in' type='checkbox'><label for='data-3c042bb9-eec0-4f21-a04d-80f9c3b639a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-08-15T00:20:00.500999927&#x27;, &#x27;2020-08-15T00:20:01.501100063&#x27;,\n",
-       "       &#x27;2020-08-15T00:20:02.500999927&#x27;, ..., &#x27;2020-08-15T15:36:37.500999927&#x27;,\n",
-       "       &#x27;2020-08-15T15:36:38.500999927&#x27;, &#x27;2020-08-15T15:36:39.500999927&#x27;],\n",
-       "      shape=(55000,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-08-15T00:20:00.438499927 .....</div><input id='attrs-10c3d059-5fe5-4ed8-b774-8ecde1198f83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10c3d059-5fe5-4ed8-b774-8ecde1198f83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f4aefa7-2f3b-4387-a78d-fb6723e950a4' class='xr-var-data-in' type='checkbox'><label for='data-0f4aefa7-2f3b-4387-a78d-fb6723e950a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd><dt><span>long_name :</span></dt><dd>Time b5</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-08-15T00:20:00.438499927&#x27;, &#x27;2020-08-15T00:20:01.438499927&#x27;,\n",
-       "       &#x27;2020-08-15T00:20:02.438499927&#x27;, ..., &#x27;2020-08-15T15:36:37.438499927&#x27;,\n",
-       "       &#x27;2020-08-15T15:36:38.438499927&#x27;, &#x27;2020-08-15T15:36:39.438499927&#x27;],\n",
-       "      shape=(55000,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2 1.7 2.2 2.7 ... 13.7 14.2 14.7</div><input id='attrs-5123f094-c771-40ba-a455-89a460000c29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5123f094-c771-40ba-a455-89a460000c29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f100808e-89c5-4611-974e-89ef10c1e3be' class='xr-var-data-in' type='checkbox'><label for='data-f100808e-89c5-4611-974e-89ef10c1e3be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Profile Range</dd><dt><span>description :</span></dt><dd>Distance to the center of each depth bin</dd></dl></div><div class='xr-var-data'><pre>array([ 1.2,  1.7,  2.2,  2.7,  3.2,  3.7,  4.2,  4.7,  5.2,  5.7,  6.2,  6.7,\n",
-       "        7.2,  7.7,  8.2,  8.7,  9.2,  9.7, 10.2, 10.7, 11.2, 11.7, 12.2, 12.7,\n",
-       "       13.2, 13.7, 14.2, 14.7])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range_b5</span></div><div class='xr-var-dims'>(range_b5)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2 1.7 2.2 2.7 ... 13.7 14.2 14.7</div><input id='attrs-d2b47560-9f68-4ddb-9a71-3ae9f877d158' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2b47560-9f68-4ddb-9a71-3ae9f877d158' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ca236a9-821c-46ff-9074-9bddcaa9797b' class='xr-var-data-in' type='checkbox'><label for='data-1ca236a9-821c-46ff-9074-9bddcaa9797b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Profile Range b5</dd><dt><span>description :</span></dt><dd>Distance to the center of each depth bin</dd></dl></div><div class='xr-var-data'><pre>array([ 1.2,  1.7,  2.2,  2.7,  3.2,  3.7,  4.2,  4.7,  5.2,  5.7,  6.2,  6.7,\n",
-       "        7.2,  7.7,  8.2,  8.7,  9.2,  9.7, 10.2, 10.7, 11.2, 11.7, 12.2, 12.7,\n",
-       "       13.2, 13.7, 14.2, 14.7])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beam</span></div><div class='xr-var-dims'>(beam)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-c439419b-bb03-4daa-9197-a89297d44810' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c439419b-bb03-4daa-9197-a89297d44810' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-528c857c-7fe8-424c-96b7-5d14b78688a6' class='xr-var-data-in' type='checkbox'><label for='data-528c857c-7fe8-424c-96b7-5d14b78688a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Beam Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dir</span></div><div class='xr-var-dims'>(dir)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;E&#x27; &#x27;N&#x27; &#x27;U1&#x27; &#x27;U2&#x27;</div><input id='attrs-f1876829-2a3b-4840-9014-19e6e4fd0fc9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1876829-2a3b-4840-9014-19e6e4fd0fc9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0dcce187-8c0c-4dd4-b3fc-6db7314b2437' class='xr-var-data-in' type='checkbox'><label for='data-0dcce187-8c0c-4dd4-b3fc-6db7314b2437' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>ref_frame :</span></dt><dd>earth</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U1&#x27;, &#x27;U2&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dirIMU</span></div><div class='xr-var-dims'>(dirIMU)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;</div><input id='attrs-aeb36c82-1db9-4419-a089-2f58994b6a0b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aeb36c82-1db9-4419-a089-2f58994b6a0b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d01d9df4-a49c-4a85-b93f-74a933c67353' class='xr-var-data-in' type='checkbox'><label for='data-d01d9df4-a49c-4a85-b93f-74a933c67353' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>ref_frame :</span></dt><dd>earth</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>earth</span></div><div class='xr-var-dims'>(earth)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;</div><input id='attrs-9468b964-5319-40c6-9699-6a3dbed6dcc5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9468b964-5319-40c6-9699-6a3dbed6dcc5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e43fe00-ab16-4cba-8535-8c975cc836bc' class='xr-var-data-in' type='checkbox'><label for='data-2e43fe00-ab16-4cba-8535-8c975cc836bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Earth Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>inst</span></div><div class='xr-var-dims'>(inst)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;X&#x27; &#x27;Y&#x27; &#x27;Z&#x27;</div><input id='attrs-ad5d3f7c-a552-483c-a8a2-dfcabfad2057' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad5d3f7c-a552-483c-a8a2-dfcabfad2057' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11104ddf-2608-4dbe-a625-314637bc4e76' class='xr-var-data-in' type='checkbox'><label for='data-11104ddf-2608-4dbe-a625-314637bc4e76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Instrument Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;X&#x27;, &#x27;Y&#x27;, &#x27;Z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>q</span></div><div class='xr-var-dims'>(q)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;w&#x27; &#x27;x&#x27; &#x27;y&#x27; &#x27;z&#x27;</div><input id='attrs-f405fe50-ee5c-4064-b0fe-fcac0cea48ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f405fe50-ee5c-4064-b0fe-fcac0cea48ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88b0b5d0-6b0e-4181-a479-40472eabdfdb' class='xr-var-data-in' type='checkbox'><label for='data-88b0b5d0-6b0e-4181-a479-40472eabdfdb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Quaternion Vector Components</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;w&#x27;, &#x27;x&#x27;, &#x27;y&#x27;, &#x27;z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x1</span></div><div class='xr-var-dims'>(x1)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-e00a9ca5-e0f8-49da-89ce-f4c7b4e16384' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e00a9ca5-e0f8-49da-89ce-f4c7b4e16384' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c82fe9d4-d230-49cf-89ea-fb7df701c364' class='xr-var-data-in' type='checkbox'><label for='data-c82fe9d4-d230-49cf-89ea-fb7df701c364' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x2</span></div><div class='xr-var-dims'>(x2)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-2bf2d2de-3964-4652-b831-2d5fee0968e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2bf2d2de-3964-4652-b831-2d5fee0968e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83556ad2-333b-4d99-9c32-d8f485a2ef34' class='xr-var-data-in' type='checkbox'><label for='data-83556ad2-333b-4d99-9c32-d8f485a2ef34' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-da3721f7-23f0-41c7-befb-6a8e5d98d95f' class='xr-section-summary-in' type='checkbox'  ><label for='section-da3721f7-23f0-41c7-befb-6a8e5d98d95f' class='xr-section-summary' >Data variables: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>c_sound</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.502e+03 1.502e+03 ... 1.498e+03</div><input id='attrs-04b9eee2-42a0-4d5e-a5d0-de155c7b5c8f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-04b9eee2-42a0-4d5e-a5d0-de155c7b5c8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b05b2969-59cc-44c3-b89f-d4699f952d17' class='xr-var-data-in' type='checkbox'><label for='data-b05b2969-59cc-44c3-b89f-d4699f952d17' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Speed of Sound</dd><dt><span>standard_name :</span></dt><dd>speed_of_sound_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([1501.9, 1501.9, 1501.9, ..., 1498.4, 1498.3, 1498.3],\n",
-       "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>14.55 14.55 14.55 ... 13.47 13.47</div><input id='attrs-9b5a6f5d-a7e6-45a6-9f2c-78360b5409ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b5a6f5d-a7e6-45a6-9f2c-78360b5409ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9859d01e-5e61-4d51-9e26-010178406e63' class='xr-var-data-in' type='checkbox'><label for='data-9859d01e-5e61-4d51-9e26-010178406e63' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd></dl></div><div class='xr-var-data'><pre>array([14.55, 14.55, 14.55, ..., 13.47, 13.47, 13.47],\n",
-       "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.713 9.718 9.718 ... 9.594 9.596</div><input id='attrs-e360df77-6724-4a52-9fae-09981e6dae73' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e360df77-6724-4a52-9fae-09981e6dae73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-210923cc-88d8-4b0e-b8dc-4eb97348da0f' class='xr-var-data-in' type='checkbox'><label for='data-210923cc-88d8-4b0e-b8dc-4eb97348da0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dbar</dd><dt><span>long_name :</span></dt><dd>Pressure</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd></dl></div><div class='xr-var-data'><pre>array([9.713, 9.718, 9.718, ..., 9.596, 9.594, 9.596],\n",
-       "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mag</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>72.5 72.7 72.6 ... -197.2 -195.7</div><input id='attrs-8a7a903a-315c-4813-a33b-c1632e40fbc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a7a903a-315c-4813-a33b-c1632e40fbc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96153423-1386-4f28-90bc-0bd9ab38e2a5' class='xr-var-data-in' type='checkbox'><label for='data-96153423-1386-4f28-90bc-0bd9ab38e2a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>uT</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Compass</dd></dl></div><div class='xr-var-data'><pre>array([[  72.5,   72.7,   72.6, ...,   72.3,   72.8,   72.4],\n",
-       "       [   9.3,    9.4,    8.9, ...,    5.9,    6.3,    6.4],\n",
-       "       [-198. , -196.3, -198.1, ..., -197.4, -197.2, -195.7]],\n",
-       "      shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>accel</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.00479 -0.01437 ... 9.685 9.729</div><input id='attrs-9ed21429-a052-4aa8-815a-950403f7096b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ed21429-a052-4aa8-815a-950403f7096b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64c500dd-9770-449a-8680-ccf78a2d64b0' class='xr-var-data-in' type='checkbox'><label for='data-64c500dd-9770-449a-8680-ccf78a2d64b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-2</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acceleration</dd></dl></div><div class='xr-var-data'><pre>array([[-4.7900393e-03, -1.4370117e-02, -2.3950195e-02, ...,\n",
-       "        -1.4370117e-02, -4.7900393e-03, -2.3950195e-02],\n",
-       "       [-1.2933105e+00, -1.2549902e+00, -1.2645704e+00, ...,\n",
-       "        -1.1017090e+00, -1.0873389e+00, -1.0969189e+00],\n",
-       "       [ 9.7285690e+00,  9.7141991e+00,  9.7237797e+00, ...,\n",
-       "         9.6710892e+00,  9.6854591e+00,  9.7285690e+00]],\n",
-       "      shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>batt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>16.6 16.6 16.6 ... 16.4 16.4 15.2</div><input id='attrs-6ce9ff5b-9dfb-4f40-b945-955d259824d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ce9ff5b-9dfb-4f40-b945-955d259824d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc3cca79-0257-4108-80db-6152c622a3d7' class='xr-var-data-in' type='checkbox'><label for='data-cc3cca79-0257-4108-80db-6152c622a3d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>V</dd><dt><span>long_name :</span></dt><dd>Battery Voltage</dd><dt><span>standard_name :</span></dt><dd>battery_voltage</dd></dl></div><div class='xr-var-data'><pre>array([16.6, 16.6, 16.6, ..., 16.4, 16.4, 15.2],\n",
-       "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_clock</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>20.0 20.0 20.0 ... 19.5 19.5 19.5</div><input id='attrs-98553162-8a44-4687-b531-88b59e511042' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98553162-8a44-4687-b531-88b59e511042' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-facb0350-434c-40d8-80ec-e03b7a36b532' class='xr-var-data-in' type='checkbox'><label for='data-facb0350-434c-40d8-80ec-e03b7a36b532' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Internal Clock Temperature</dd></dl></div><div class='xr-var-data'><pre>array([20. , 20. , 20. , ..., 19.5, 19.5, 19.5],\n",
-       "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>error</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-7058c137-8eb9-439f-9a9c-0a1bb3e7dd69' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7058c137-8eb9-439f-9a9c-0a1bb3e7dd69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33e065bd-98a4-4713-bf62-adb0604678d7' class='xr-var-data-in' type='checkbox'><label for='data-33e065bd-98a4-4713-bf62-adb0604678d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Error Code</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(55000,), dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>1053556738 ... 1053557762</div><input id='attrs-7bcdef99-2f89-4fd7-9b7a-d7a70bc15cac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7bcdef99-2f89-4fd7-9b7a-d7a70bc15cac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0237d5dc-01db-489e-ade7-2917e695935e' class='xr-var-data-in' type='checkbox'><label for='data-0237d5dc-01db-489e-ade7-2917e695935e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Status Code</dd></dl></div><div class='xr-var-data'><pre>array([1053556738, 1053556738, 1053556738, ..., 1053556738, 1053556738,\n",
-       "       1053557762], shape=(55000,), dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ensemble</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>1 2 3 4 ... 54997 54998 54999 55000</div><input id='attrs-3d316c65-e7b9-4c3b-b6fb-82f11f6bf5ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d316c65-e7b9-4c3b-b6fb-82f11f6bf5ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c38da9c-25a1-4552-b304-7a478e4d0fc5' class='xr-var-data-in' type='checkbox'><label for='data-6c38da9c-25a1-4552-b304-7a478e4d0fc5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>#</dd><dt><span>long_name :</span></dt><dd>Ensemble Number</dd><dt><span>standard_name :</span></dt><dd>number_of_observations</dd></dl></div><div class='xr-var-data'><pre>array([    1,     2,     3, ..., 54998, 54999, 55000],\n",
-       "      shape=(55000,), dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vel</span></div><div class='xr-var-dims'>(dir, range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.015 -0.048 0.008 ... nan nan nan</div><input id='attrs-5eb905c4-9c12-48f9-90ee-048dc17c61f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5eb905c4-9c12-48f9-90ee-048dc17c61f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef4d0a60-551a-4545-8c7b-64f1af4ed635' class='xr-var-data-in' type='checkbox'><label for='data-ef4d0a60-551a-4545-8c7b-64f1af4ed635' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Water Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[-0.015, -0.048,  0.008, ..., -0.176, -0.071, -0.027],\n",
-       "        [-0.093, -0.124, -0.031, ..., -0.175, -0.16 , -0.03 ],\n",
-       "        [-0.163, -0.135, -0.105, ..., -0.129, -0.089, -0.116],\n",
-       "        ...,\n",
-       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
-       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
-       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan]],\n",
-       "\n",
-       "       [[ 0.243,  0.204,  0.234, ..., -0.163, -0.135, -0.18 ],\n",
-       "        [ 0.272,  0.248,  0.236, ..., -0.254, -0.169, -0.204],\n",
-       "        [ 0.257,  0.294,  0.333, ..., -0.299, -0.226, -0.273],\n",
-       "        ...,\n",
-       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
-       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
-       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan]],\n",
-       "\n",
-       "       [[ 0.016,  0.012,  0.01 , ...,  0.009,  0.006, -0.018],\n",
-       "        [ 0.01 ,  0.011, -0.013, ...,  0.002, -0.027,  0.009],\n",
-       "        [ 0.01 ,  0.009,  0.023, ..., -0.018, -0.002, -0.024],\n",
-       "        ...,\n",
-       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
-       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
-       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan]],\n",
-       "\n",
-       "       [[ 0.003, -0.007,  0.046, ..., -0.032, -0.008, -0.029],\n",
-       "        [ 0.017,  0.033,  0.035, ..., -0.016, -0.022, -0.034],\n",
-       "        [ 0.016, -0.012,  0.005, ...,  0.002, -0.045, -0.026],\n",
-       "        ...,\n",
-       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
-       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
-       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan]]],\n",
-       "      shape=(4, 28, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>amp</span></div><div class='xr-var-dims'>(beam, range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>81.0 80.0 80.5 80.5 ... nan nan nan</div><input id='attrs-3a562ab9-056c-4a92-b02c-d12df5163082' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a562ab9-056c-4a92-b02c-d12df5163082' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fa31852-2f6d-4bb3-ae20-b9dd4edea08b' class='xr-var-data-in' type='checkbox'><label for='data-9fa31852-2f6d-4bb3-ae20-b9dd4edea08b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Amplitude</dd><dt><span>standard_name :</span></dt><dd>signal_intensity_from_multibeam_acoustic_doppler_velocity_sensor_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([[[81. , 80. , 80.5, ..., 81.5, 81.5, 81.5],\n",
-       "        [75. , 74.5, 75. , ..., 79. , 77. , 77.5],\n",
-       "        [73.5, 72. , 72. , ..., 75. , 74.5, 75. ],\n",
-       "        ...,\n",
-       "        [ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
-       "        [ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
-       "        [ nan,  nan,  nan, ...,  nan,  nan,  nan]],\n",
-       "\n",
-       "       [[81.5, 80. , 80.5, ..., 82. , 81.5, 82. ],\n",
-       "        [76. , 77. , 76.5, ..., 79. , 77.5, 77.5],\n",
-       "        [73.5, 74. , 73. , ..., 75.5, 74.5, 74.5],\n",
-       "        ...,\n",
-       "        [ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
-       "        [ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
-       "        [ nan,  nan,  nan, ...,  nan,  nan,  nan]],\n",
-       "\n",
-       "       [[80.5, 79.5, 80. , ..., 81.5, 82.5, 81.5],\n",
-       "        [76. , 75.5, 75. , ..., 77. , 78.5, 77. ],\n",
-       "        [72. , 73.5, 72. , ..., 74. , 75. , 73.5],\n",
-       "        ...,\n",
-       "        [ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
-       "        [ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
-       "        [ nan,  nan,  nan, ...,  nan,  nan,  nan]],\n",
-       "\n",
-       "       [[80. , 81. , 80. , ..., 81. , 81. , 81.5],\n",
-       "        [75.5, 75.5, 74.5, ..., 76.5, 76.5, 77.5],\n",
-       "        [73. , 72.5, 73. , ..., 75.5, 74.5, 74. ],\n",
-       "        ...,\n",
-       "        [ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
-       "        [ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
-       "        [ nan,  nan,  nan, ...,  nan,  nan,  nan]]],\n",
-       "      shape=(4, 28, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>corr</span></div><div class='xr-var-dims'>(beam, range, time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>100 91 91 97 99 87 ... 0 0 0 0 0 0</div><input id='attrs-519d184f-8ef3-45d7-b919-9e3120f09459' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-519d184f-8ef3-45d7-b919-9e3120f09459' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7f62e0a-8031-4949-984f-8c851c9ef55f' class='xr-var-data-in' type='checkbox'><label for='data-e7f62e0a-8031-4949-984f-8c851c9ef55f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>%</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Correlation</dd><dt><span>standard_name :</span></dt><dd>beam_consistency_indicator_from_multibeam_acoustic_doppler_velocity_profiler_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([[[100,  91,  91, ...,  89,  90,  96],\n",
-       "        [ 74,  92,  96, ..., 100,  97, 100],\n",
-       "        [100, 100,  99, ...,  99, 100, 100],\n",
-       "        ...,\n",
-       "        [  0,   0,   0, ...,   0,   0,   0],\n",
-       "        [  0,   0,   0, ...,   0,   0,   0],\n",
-       "        [  0,   0,   0, ...,   0,   0,   0]],\n",
-       "\n",
-       "       [[ 94,  90,  89, ...,  91,  92,  90],\n",
-       "        [ 94, 100, 100, ...,  96, 100,  93],\n",
-       "        [ 99,  95,  97, ...,  98,  98, 100],\n",
-       "        ...,\n",
-       "        [  0,   0,   0, ...,   0,   0,   0],\n",
-       "        [  0,   0,   0, ...,   0,   0,   0],\n",
-       "        [  0,   0,   0, ...,   0,   0,   0]],\n",
-       "\n",
-       "       [[ 92,  93,  93, ...,  93,  97,  89],\n",
-       "        [ 99, 100,  99, ...,  96,  88,  98],\n",
-       "        [ 97, 100,  98, ..., 100,  99,  97],\n",
-       "        ...,\n",
-       "        [  0,   0,   0, ...,   0,   0,   0],\n",
-       "        [  0,   0,   0, ...,   0,   0,   0],\n",
-       "        [  0,   0,   0, ...,   0,   0,   0]],\n",
-       "\n",
-       "       [[ 87,  97,  87, ...,  91,  87,  90],\n",
-       "        [100,  93,  93, ...,  96,  96,  97],\n",
-       "        [100, 100, 100, ..., 100, 100,  97],\n",
-       "        ...,\n",
-       "        [  0,   0,   0, ...,   0,   0,   0],\n",
-       "        [  0,   0,   0, ...,   0,   0,   0],\n",
-       "        [  0,   0,   0, ...,   0,   0,   0]]],\n",
-       "      shape=(4, 28, 55000), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientmat</span></div><div class='xr-var-dims'>(earth, inst, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.2167 -0.2164 ... 0.9937 0.9937</div><input id='attrs-fac58596-809d-4cd2-842d-938f8aa3b158' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fac58596-809d-4cd2-842d-938f8aa3b158' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c97b617-4b4a-4164-a3f1-a73476706a9c' class='xr-var-data-in' type='checkbox'><label for='data-3c97b617-4b4a-4164-a3f1-a73476706a9c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Orientation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[[-2.16688156e-01, -2.16397047e-01, -2.16593146e-01, ...,\n",
-       "         -2.16118217e-01, -2.16699123e-01, -2.16318965e-01],\n",
-       "        [ 9.76196468e-01,  9.76219118e-01,  9.76202846e-01, ...,\n",
-       "          9.76315439e-01,  9.76210594e-01,  9.76245522e-01],\n",
-       "        [-1.22870505e-03, -1.20262802e-03, -1.17563456e-03, ...,\n",
-       "         -1.16243958e-03, -1.02279335e-03, -9.55920666e-04]],\n",
-       "\n",
-       "       [[-9.67970312e-01, -9.68004048e-01, -9.67982769e-01, ...,\n",
-       "         -9.70095694e-01, -9.69992876e-01, -9.70033050e-01],\n",
-       "        [-2.15024590e-01, -2.14734554e-01, -2.14924574e-01, ...,\n",
-       "         -2.14874983e-01, -2.15436578e-01, -2.15052128e-01],\n",
-       "        [-1.29278094e-01, -1.29190803e-01, -1.29239410e-01, ...,\n",
-       "         -1.12442717e-01, -1.12462208e-01, -1.12422116e-01]],\n",
-       "\n",
-       "       [[-1.26469478e-01, -1.26385525e-01, -1.26422524e-01, ...,\n",
-       "         -1.10033900e-01, -1.10009573e-01, -1.09963998e-01],\n",
-       "        [-2.68291458e-02, -2.68030688e-02, -2.68616974e-02, ...,\n",
-       "         -2.31788009e-02, -2.33813375e-02, -2.34001204e-02],\n",
-       "        [ 9.91607308e-01,  9.91618454e-01,  9.91612315e-01, ...,\n",
-       "          9.93657291e-01,  9.93655324e-01,  9.93659675e-01]]],\n",
-       "      shape=(3, 3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angrt</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.001953 -0.001953 ... -0.00293</div><input id='attrs-f36da3b8-6c54-471a-977b-a2b10de919ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f36da3b8-6c54-471a-977b-a2b10de919ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43b7c30c-4401-4da9-a124-fcc8d894aa8a' class='xr-var-data-in' type='checkbox'><label for='data-43b7c30c-4401-4da9-a124-fcc8d894aa8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>rad s-1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Angular Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[-0.00195312, -0.00195312, -0.00195312, ..., -0.00390625,\n",
-       "        -0.00292969, -0.00195312],\n",
-       "       [ 0.00097656,  0.        ,  0.        , ...,  0.        ,\n",
-       "         0.00097656,  0.00097656],\n",
-       "       [-0.00292969, -0.00292969, -0.00292969, ..., -0.00292969,\n",
-       "        -0.00195312, -0.00292969]], shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quaternions</span></div><div class='xr-var-dims'>(q, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.6245 0.6245 ... 0.7787 0.7786</div><input id='attrs-ea338374-0cc4-47a6-9dd3-24e7a1907d42' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea338374-0cc4-47a6-9dd3-24e7a1907d42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f238500-68d7-47bb-a9f9-614c1bbdb632' class='xr-var-data-in' type='checkbox'><label for='data-3f238500-68d7-47bb-a9f9-614c1bbdb632' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Quaternions</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.6244507 ,  0.62454224,  0.6244812 , ...,  0.625     ,\n",
-       "         0.6247864 ,  0.62490845],\n",
-       "       [-0.04101562, -0.04098511, -0.04098511, ..., -0.03570557,\n",
-       "        -0.03564453, -0.03561401],\n",
-       "       [-0.05014038, -0.05010986, -0.05014038, ..., -0.04354858,\n",
-       "        -0.04360962, -0.04360962],\n",
-       "       [ 0.77835083,  0.7782593 ,  0.7783203 , ...,  0.77856445,\n",
-       "         0.77874756,  0.7786255 ]], shape=(4, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_press</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>12.8 12.8 12.8 ... 12.0 12.0 12.0</div><input id='attrs-49e97b68-5f8b-4e1a-b389-b7cf4c92156b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49e97b68-5f8b-4e1a-b389-b7cf4c92156b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f25b32ea-65d7-4c86-950d-3cb3f06879af' class='xr-var-data-in' type='checkbox'><label for='data-f25b32ea-65d7-4c86-950d-3cb3f06879af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Pressure Sensor Temperature</dd></dl></div><div class='xr-var-data'><pre>array([12.8, 12.8, 12.8, ..., 12. , 12. , 12. ],\n",
-       "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xmit_energy</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>243 243 243 244 ... 246 246 246 246</div><input id='attrs-208a71ef-adba-43f9-a333-ca1de21ca2b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-208a71ef-adba-43f9-a333-ca1de21ca2b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cf8e297-7cf9-4173-8e1f-a242c5c4275a' class='xr-var-data-in' type='checkbox'><label for='data-6cf8e297-7cf9-4173-8e1f-a242c5c4275a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Sound Pressure Level of Acoustic Signal</dd></dl></div><div class='xr-var-data'><pre>array([243, 243, 243, ..., 246, 246, 246], shape=(55000,), dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mag_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>72.9 72.8 72.4 ... -198.0 -195.7</div><input id='attrs-988dff58-bb78-4b41-b1fc-2145643890a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-988dff58-bb78-4b41-b1fc-2145643890a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28973660-cf4b-4d55-8108-3e0425072873' class='xr-var-data-in' type='checkbox'><label for='data-28973660-cf4b-4d55-8108-3e0425072873' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>uT</dd><dt><span>long_name :</span></dt><dd>Compass</dd></dl></div><div class='xr-var-data'><pre>array([[  72.9,   72.8,   72.4, ...,   73. ,   73. ,   72.7],\n",
-       "       [   9.5,    9.5,    9.8, ...,    6. ,    6.4,    5.9],\n",
-       "       [-197.1, -197.2, -197.7, ..., -197.4, -198. , -195.7]],\n",
-       "      shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>accel_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.01437 0.0 ... 9.709 9.724</div><input id='attrs-15d6f924-114e-4bf5-be69-8f81b4640295' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15d6f924-114e-4bf5-be69-8f81b4640295' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7986dd8-1046-4e66-acb4-1672df68237d' class='xr-var-data-in' type='checkbox'><label for='data-f7986dd8-1046-4e66-acb4-1672df68237d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>m s-2</dd><dt><span>long_name :</span></dt><dd>Acceleration</dd></dl></div><div class='xr-var-data'><pre>array([[-1.4370117e-02,  0.0000000e+00, -1.4370117e-02, ...,\n",
-       "        -4.7900393e-03, -1.9160157e-02, -1.4370117e-02],\n",
-       "       [-1.2693603e+00, -1.2885205e+00, -1.2837305e+00, ...,\n",
-       "        -1.0825489e+00, -1.1017090e+00, -1.1064991e+00],\n",
-       "       [ 9.7189894e+00,  9.7046194e+00,  9.7094088e+00, ...,\n",
-       "         9.7141991e+00,  9.7094088e+00,  9.7237797e+00]],\n",
-       "      shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>error_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-c7ccfee5-07eb-4fd7-bfb8-7be1b0262b62' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7ccfee5-07eb-4fd7-bfb8-7be1b0262b62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a141cd7-21aa-48f5-9dc7-3c1a46a6469d' class='xr-var-data-in' type='checkbox'><label for='data-5a141cd7-21aa-48f5-9dc7-3c1a46a6469d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Error Code</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(55000,), dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>1053556738 ... 1053557762</div><input id='attrs-c18b3666-f050-4de7-b8d1-3df520752621' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c18b3666-f050-4de7-b8d1-3df520752621' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42765d09-47dd-49ed-a8c5-9aa5b63de351' class='xr-var-data-in' type='checkbox'><label for='data-42765d09-47dd-49ed-a8c5-9aa5b63de351' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Status Code</dd></dl></div><div class='xr-var-data'><pre>array([1053556738, 1053556738, 1053556738, ..., 1053556738, 1053556738,\n",
-       "       1053557762], shape=(55000,), dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ensemble_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>1 2 3 4 ... 54997 54998 54999 55000</div><input id='attrs-2297a980-4a57-41c7-97a4-a0d166f7cd2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2297a980-4a57-41c7-97a4-a0d166f7cd2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32b27170-8cb1-42a9-a1a3-116a4f2dd113' class='xr-var-data-in' type='checkbox'><label for='data-32b27170-8cb1-42a9-a1a3-116a4f2dd113' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>#</dd><dt><span>long_name :</span></dt><dd>Ensemble Number</dd><dt><span>standard_name :</span></dt><dd>number_of_observations</dd></dl></div><div class='xr-var-data'><pre>array([    1,     2,     3, ..., 54998, 54999, 55000],\n",
-       "      shape=(55000,), dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vel_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.003 0.021 0.018 ... nan nan nan</div><input id='attrs-14ccc856-4363-425d-944d-65678f7370b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14ccc856-4363-425d-944d-65678f7370b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9305015-3a1d-40be-b68d-e6a0dc00cada' class='xr-var-data-in' type='checkbox'><label for='data-c9305015-3a1d-40be-b68d-e6a0dc00cada' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Water Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.003,  0.021,  0.018, ...,  0.   , -0.044,  0.009],\n",
-       "       [ 0.057,  0.034,  0.017, ...,  0.01 ,  0.001, -0.002],\n",
-       "       [ 0.039,  0.022,  0.02 , ...,  0.039, -0.008,  0.018],\n",
-       "       ...,\n",
-       "       [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
-       "       [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
-       "       [   nan,    nan,    nan, ...,    nan,    nan,    nan]],\n",
-       "      shape=(28, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>amp_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>80.5 80.5 80.0 80.5 ... nan nan nan</div><input id='attrs-e7b1334d-b840-4797-a987-e2141dd2cef4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7b1334d-b840-4797-a987-e2141dd2cef4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e71dd98-e434-4165-b485-bbc4c3c9bce9' class='xr-var-data-in' type='checkbox'><label for='data-0e71dd98-e434-4165-b485-bbc4c3c9bce9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Amplitude</dd><dt><span>standard_name :</span></dt><dd>signal_intensity_from_multibeam_acoustic_doppler_velocity_sensor_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([[80.5, 80.5, 80. , ..., 82. , 81.5, 81. ],\n",
-       "       [75.5, 76.5, 76. , ..., 78.5, 78. , 77.5],\n",
-       "       [72.5, 73.5, 73.5, ..., 75. , 76.5, 75.5],\n",
-       "       ...,\n",
-       "       [ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
-       "       [ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
-       "       [ nan,  nan,  nan, ...,  nan,  nan,  nan]],\n",
-       "      shape=(28, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>corr_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>98 100 92 93 98 100 ... 0 0 0 0 0 0</div><input id='attrs-1f747258-8108-4ae0-9c50-202c7e96b587' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f747258-8108-4ae0-9c50-202c7e96b587' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cd3b67b-c20e-45dc-8c6b-bb769c506bf2' class='xr-var-data-in' type='checkbox'><label for='data-6cd3b67b-c20e-45dc-8c6b-bb769c506bf2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Correlation</dd><dt><span>standard_name :</span></dt><dd>beam_consistency_indicator_from_multibeam_acoustic_doppler_velocity_profiler_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([[ 98, 100,  92, ...,  88,  90,  91],\n",
-       "       [ 97,  94,  98, ...,  97,  95,  97],\n",
-       "       [100, 100, 100, ...,  93, 100,  96],\n",
-       "       ...,\n",
-       "       [  0,   0,   0, ...,   0,   0,   0],\n",
-       "       [  0,   0,   0, ...,   0,   0,   0],\n",
-       "       [  0,   0,   0, ...,   0,   0,   0]],\n",
-       "      shape=(28, 55000), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientmat_b5</span></div><div class='xr-var-dims'>(earth, inst, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.2167 -0.2165 ... 0.9937 0.9937</div><input id='attrs-6aa40778-97f4-43c9-ae4c-f41d70238179' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6aa40778-97f4-43c9-ae4c-f41d70238179' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8026d2f-c8d4-4aee-b62b-eaf6ca504e0a' class='xr-var-data-in' type='checkbox'><label for='data-c8026d2f-c8d4-4aee-b62b-eaf6ca504e0a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Orientation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[[-2.16694236e-01, -2.16498137e-01, -2.16593146e-01, ...,\n",
-       "         -2.16118217e-01, -2.16699123e-01, -2.16318965e-01],\n",
-       "        [-9.67967808e-01, -9.68039632e-01, -9.68030274e-01, ...,\n",
-       "         -9.70095694e-01, -9.69992876e-01, -9.70033050e-01],\n",
-       "        [-1.26507595e-01, -1.26426160e-01, -1.26425594e-01, ...,\n",
-       "         -1.10033900e-01, -1.10009573e-01, -1.09963998e-01]],\n",
-       "\n",
-       "       [[ 9.76198971e-01,  9.76259708e-01,  9.76250350e-01, ...,\n",
-       "          9.76315439e-01,  9.76210594e-01,  9.76245522e-01],\n",
-       "        [-2.15024590e-01, -2.14829564e-01, -2.14924574e-01, ...,\n",
-       "         -2.14874983e-01, -2.15436578e-01, -2.15052128e-01],\n",
-       "        [-2.68766508e-02, -2.68536285e-02, -2.68591940e-02, ...,\n",
-       "         -2.31788009e-02, -2.33813375e-02, -2.34001204e-02]],\n",
-       "\n",
-       "       [[-1.19058788e-03, -1.16700679e-03, -1.17257237e-03, ...,\n",
-       "         -1.16243958e-03, -1.02279335e-03, -9.55920666e-04],\n",
-       "        [-1.29325598e-01, -1.29241347e-01, -1.29241914e-01, ...,\n",
-       "         -1.12442717e-01, -1.12462208e-01, -1.12422116e-01],\n",
-       "        [ 9.91601229e-01,  9.91612315e-01,  9.91612315e-01, ...,\n",
-       "          9.93657291e-01,  9.93655324e-01,  9.93659675e-01]]],\n",
-       "      shape=(3, 3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angrt_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.001953 -0.001953 ... -0.001953</div><input id='attrs-3e99d3c9-0836-45b6-8c19-5a576c25383e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e99d3c9-0836-45b6-8c19-5a576c25383e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b20520f-b4ac-42f0-9873-501e3df0f90a' class='xr-var-data-in' type='checkbox'><label for='data-5b20520f-b4ac-42f0-9873-501e3df0f90a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>rad s-1</dd><dt><span>long_name :</span></dt><dd>Angular Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[-0.00195312, -0.00195312, -0.00195312, ..., -0.00097656,\n",
-       "        -0.00195312, -0.00390625],\n",
-       "       [ 0.        ,  0.        ,  0.00097656, ...,  0.00097656,\n",
-       "         0.        ,  0.00097656],\n",
-       "       [-0.00292969, -0.00292969, -0.00292969, ..., -0.00292969,\n",
-       "        -0.00292969, -0.00195312]], shape=(3, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quaternions_b5</span></div><div class='xr-var-dims'>(q, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.6245 0.6245 ... 0.7787 0.7786</div><input id='attrs-cc7659cd-127d-486e-ad9b-4b48e25bccbf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc7659cd-127d-486e-ad9b-4b48e25bccbf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbbae1d3-38b0-44e0-bf12-c4fa3b75e199' class='xr-var-data-in' type='checkbox'><label for='data-cbbae1d3-38b0-44e0-bf12-c4fa3b75e199' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Quaternions</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.6244507 ,  0.62454224,  0.6245117 , ...,  0.625     ,\n",
-       "         0.6247864 ,  0.62490845],\n",
-       "       [-0.04101562, -0.04098511, -0.04098511, ..., -0.03570557,\n",
-       "        -0.03564453, -0.03561401],\n",
-       "       [-0.0501709 , -0.05014038, -0.05014038, ..., -0.04354858,\n",
-       "        -0.04360962, -0.04360962],\n",
-       "       [ 0.77835083,  0.7782898 ,  0.7783203 , ...,  0.77856445,\n",
-       "         0.77874756,  0.7786255 ]], shape=(4, 55000), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xmit_energy_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>65 65 65 65 65 ... 65 65 65 65 65</div><input id='attrs-b97d1d40-0461-49a0-bdfc-858bf0e2107b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b97d1d40-0461-49a0-bdfc-858bf0e2107b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23eb80ae-40f4-458c-86de-996156fedae8' class='xr-var-data-in' type='checkbox'><label for='data-23eb80ae-40f4-458c-86de-996156fedae8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Sound Pressure Level of Acoustic Signal</dd></dl></div><div class='xr-var-data'><pre>array([65, 65, 65, ..., 65, 65, 65], shape=(55000,), dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>low_volt_skip</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-db59adea-502a-4e93-b075-862d98d07eca' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-db59adea-502a-4e93-b075-862d98d07eca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb33cc15-3200-45c2-801c-97bd960b6d6e' class='xr-var-data-in' type='checkbox'><label for='data-eb33cc15-3200-45c2-801c-97bd960b6d6e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(55000,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>active_config</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-ec918346-f32c-49af-a738-a2176994dfcd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ec918346-f32c-49af-a738-a2176994dfcd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14c6370c-8658-4a0f-89d1-f8414e1af492' class='xr-var-data-in' type='checkbox'><label for='data-14c6370c-8658-4a0f-89d1-f8414e1af492' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(55000,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>telemetry_data</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-01031b8b-3f17-4723-9007-125ece6930f8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-01031b8b-3f17-4723-9007-125ece6930f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85e56225-bd35-4432-aa43-b40cff669b8d' class='xr-var-data-in' type='checkbox'><label for='data-85e56225-bd35-4432-aa43-b40cff669b8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(55000,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>boost_running</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 1 0 0 0 0 0 0 1</div><input id='attrs-97a64000-ff17-4b02-9bd3-3910113c801e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-97a64000-ff17-4b02-9bd3-3910113c801e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bba3ff1c-4b69-4066-ac3c-d43a5be0bc21' class='xr-var-data-in' type='checkbox'><label for='data-bba3ff1c-4b69-4066-ac3c-d43a5be0bc21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 1], shape=(55000,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heading</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-12.52 -12.51 ... -12.52 -12.5</div><input id='attrs-50cb20ba-8ec8-4267-81cb-d7ef32bb0b4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50cb20ba-8ec8-4267-81cb-d7ef32bb0b4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7783dd55-36bd-42bd-888d-994093bed229' class='xr-var-data-in' type='checkbox'><label for='data-7783dd55-36bd-42bd-888d-994093bed229' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Heading</dd><dt><span>standard_name :</span></dt><dd>platform_orientation</dd></dl></div><div class='xr-var-data'><pre>array([-12.52    , -12.505001, -12.51    , ..., -12.490002, -12.52    ,\n",
-       "       -12.500001], shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pitch</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.065 -0.06 -0.06 ... -0.05 -0.05</div><input id='attrs-2a60a58f-c1cb-4eb8-8c3c-58a6a6500ec7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a60a58f-c1cb-4eb8-8c3c-58a6a6500ec7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b80099b0-39db-4ae0-8da0-e5b94f8cdf41' class='xr-var-data-in' type='checkbox'><label for='data-b80099b0-39db-4ae0-8da0-e5b94f8cdf41' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Pitch</dd><dt><span>standard_name :</span></dt><dd>platform_pitch</dd></dl></div><div class='xr-var-data'><pre>array([-0.065, -0.06 , -0.06 , ..., -0.06 , -0.05 , -0.05 ],\n",
-       "      shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>roll</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.425 -7.42 -7.42 ... -6.45 -6.45</div><input id='attrs-ee7339f8-c6b7-4eb1-a036-bbc09bd2e808' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee7339f8-c6b7-4eb1-a036-bbc09bd2e808' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a88c998-b634-4f80-b754-68f424c8f2e4' class='xr-var-data-in' type='checkbox'><label for='data-6a88c998-b634-4f80-b754-68f424c8f2e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Roll</dd><dt><span>standard_name :</span></dt><dd>platform_roll</dd></dl></div><div class='xr-var-data'><pre>array([-7.4250007, -7.42     , -7.42     , ..., -6.45     , -6.45     ,\n",
-       "       -6.45     ], shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beam2inst_orientmat</span></div><div class='xr-var-dims'>(x1, x2)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.183 0.0 -1.183 ... 0.0 0.5518</div><input id='attrs-0e526501-0f6f-4ee2-9d4a-e25e81ded0bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e526501-0f6f-4ee2-9d4a-e25e81ded0bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-795ecf6d-5e93-45c9-a54e-6a4ab24ec042' class='xr-var-data-in' type='checkbox'><label for='data-795ecf6d-5e93-45c9-a54e-6a4ab24ec042' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Rotation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.1831,  0.    , -1.1831,  0.    ],\n",
-       "       [ 0.    , -1.1831,  0.    ,  1.1831],\n",
-       "       [ 0.5518,  0.    ,  0.5518,  0.    ],\n",
-       "       [ 0.    ,  0.5518,  0.    ,  0.5518]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_density</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.023e+03 1.023e+03 ... 1.023e+03</div><input id='attrs-016e0ef0-2457-44cb-b074-88412c61be7d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-016e0ef0-2457-44cb-b074-88412c61be7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea536dce-62be-4334-8a4f-ec284ea5ea34' class='xr-var-data-in' type='checkbox'><label for='data-ea536dce-62be-4334-8a4f-ec284ea5ea34' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-3</dd><dt><span>long_name :</span></dt><dd>Water Density</dd><dt><span>standard_name :</span></dt><dd>sea_water_density</dd><dt><span>description :</span></dt><dd>Water density from linear approximation of sea water equation of state</dd></dl></div><div class='xr-var-data'><pre>array([1023.2412 , 1023.2412 , 1023.2412 , ..., 1023.40265, 1023.40265,\n",
-       "       1023.40265], shape=(55000,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>depth</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>10.28 10.28 10.28 ... 10.16 10.16</div><input id='attrs-acaba087-0262-4545-8841-a7c3b4528202' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-acaba087-0262-4545-8841-a7c3b4528202' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c149786-bee8-4e55-91c6-288e974957ba' class='xr-var-data-in' type='checkbox'><label for='data-9c149786-bee8-4e55-91c6-288e974957ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Water Depth</dd><dt><span>standard_name :</span></dt><dd>depth</dd></dl></div><div class='xr-var-data'><pre>array([10.276234, 10.281216, 10.281216, ..., 10.158169, 10.156177,\n",
-       "       10.158169], shape=(55000,), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d3aa7b58-2604-474f-b39a-1f7654920867' class='xr-section-summary-in' type='checkbox'  ><label for='section-d3aa7b58-2604-474f-b39a-1f7654920867' class='xr-section-summary' >Attributes: <span>(35)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>filehead_config :</span></dt><dd>{&quot;CLOCKSTR&quot;: {&quot;TIME&quot;: &quot;\\&quot;2020-08-13 13:56:21\\&quot;&quot;}, &quot;ID&quot;: &quot;STR=\\&quot;Signature1000\\&quot;,SN=101663&quot;, &quot;HW&quot;: {&quot;FW&quot;: 2212, &quot;FPGA&quot;: 169, &quot;DIGITAL&quot;: &quot;\\&quot;I-3\\&quot;&quot;, &quot;INTERFACE&quot;: &quot;\\&quot;H-2\\&quot;&quot;, &quot;ANALOG&quot;: &quot;\\&quot;G-1\\&quot;&quot;, &quot;SENSOR&quot;: &quot;\\&quot;D-1(AHRS)\\&quot;&quot;, &quot;BOOT&quot;: 21, &quot;FWMINOR&quot;: 11}, &quot;BOARDSENSGET&quot;: &quot;AV=23,NB=5,HF=1000,TTR=2.0000,TTRB5=2.0000&quot;, &quot;PWR&quot;: {&quot;PLAN&quot;: 1940.43, &quot;BURST&quot;: 1937.69, &quot;AVG&quot;: 0.0, &quot;PLAN1&quot;: 0.0, &quot;BURST1&quot;: 0.0, &quot;AVG1&quot;: 0.0, &quot;TOTAL&quot;: 1940.43}, &quot;MEM&quot;: {&quot;PLAN&quot;: 2.733, &quot;BURST&quot;: 2.733, &quot;AVG&quot;: 0.0, &quot;PLAN1&quot;: 0.0, &quot;BURST1&quot;: 0.0, &quot;AVG1&quot;: 0.0, &quot;TOTAL&quot;: 2.733}, &quot;PRECISION&quot;: {&quot;AVGHORZ&quot;: -9.99, &quot;BURSTHORZ&quot;: 2.6, &quot;BEAM5&quot;: 1.62, &quot;AVGBEAM&quot;: -9.99, &quot;BURSTBEAM&quot;: 1.55}, &quot;PLAN&quot;: {&quot;MIAVG&quot;: 600, &quot;AVG&quot;: 0, &quot;DIAVG&quot;: 0, &quot;VD&quot;: 0, &quot;MV&quot;: 10, &quot;SA&quot;: 32.0, &quot;BURST&quot;: 1, &quot;MIBURST&quot;: 1, &quot;DIBURST&quot;: 0, &quot;SV&quot;: 0.0, &quot;FN&quot;: &quot;\\&quot;S101663A007_sea_spider.ad2cp\\&quot;&quot;, &quot;SO&quot;: 0, &quot;FREQ&quot;: 1000, &quot;NSTT&quot;: 0}, &quot;BURST&quot;: {&quot;NC&quot;: 28, &quot;NB&quot;: 5, &quot;CS&quot;: 0.5, &quot;BD&quot;: 0.1, &quot;CY&quot;: &quot;\\&quot;ENU\\&quot;&quot;, &quot;PL&quot;: 0.0, &quot;SR&quot;: 1, &quot;NS&quot;: 1, &quot;VR&quot;: 2.5, &quot;VP&quot;: 0.0, &quot;DF&quot;: 3, &quot;NPING&quot;: 8, &quot;CH&quot;: 0, &quot;ALTI&quot;: 0, &quot;VR5&quot;: 2.5, &quot;BT&quot;: 0, &quot;DISV&quot;: 0, &quot;ECHO&quot;: 0, &quot;RAWALTI&quot;: 60, &quot;ALTISTART&quot;: 0.1, &quot;ALTIEND&quot;: 30.0, &quot;HR&quot;: 0, &quot;HR5&quot;: 0}, &quot;XFBURST&quot;: {&quot;ROWS&quot;: 4, &quot;COLS&quot;: 4, &quot;M11&quot;: 1.1831, &quot;M12&quot;: 0.0, &quot;M13&quot;: -1.1831, &quot;M14&quot;: 0.0, &quot;M21&quot;: 0.0, &quot;M22&quot;: -1.1831, &quot;M23&quot;: 0.0, &quot;M24&quot;: 1.1831, &quot;M31&quot;: 0.5518, &quot;M32&quot;: 0.0, &quot;M33&quot;: 0.5518, &quot;M34&quot;: 0.0, &quot;M41&quot;: 0.0, &quot;M42&quot;: 0.5518, &quot;M43&quot;: 0.0, &quot;M44&quot;: 0.5518}, &quot;USER&quot;: {&quot;POFF&quot;: 10.2, &quot;DECL&quot;: 0.0, &quot;HX&quot;: -48, &quot;HY&quot;: 48, &quot;HZ&quot;: 0}, &quot;INST&quot;: {&quot;BR&quot;: 9600, &quot;RS&quot;: 232, &quot;LED&quot;: &quot;\\&quot;OFF\\&quot;&quot;, &quot;ORIENT&quot;: &quot;\\&quot;AHRS3D\\&quot;&quot;, &quot;CMTOUT&quot;: 300, &quot;DMTOUT&quot;: 60, &quot;CFMTOUT&quot;: 60}, &quot;COMPASSCAL&quot;: {&quot;DX&quot;: 155, &quot;DY&quot;: 778, &quot;DZ&quot;: -486, &quot;M11&quot;: 31481, &quot;M12&quot;: 1726, &quot;M13&quot;: -1109, &quot;M21&quot;: -1955, &quot;M22&quot;: 32767, &quot;M23&quot;: 379, &quot;M31&quot;: 750, &quot;M32&quot;: -1851, &quot;M33&quot;: 31699}, &quot;READAHRS&quot;: &quot;STR=\\&quot;OSv6_a2_V5101_0.6 Oct  3 2019, SerialNumber=60004222,type=OS3DM\\&quot;&quot;, &quot;RECSTAT&quot;: &quot;SS=512,CS=32768,FC=127813877760,TC=127848677376,VS=127848677376&quot;, &quot;BEAMCFGLIST&quot;: [&quot;BEAM=1,THETA=25.00,PHI=0.00,FREQ=1000,BW=25,BRD=1,HWBEAM=1,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=2,THETA=25.00,PHI=-90.00,FREQ=1000,BW=25,BRD=1,HWBEAM=2,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=3,THETA=25.00,PHI=180.00,FREQ=1000,BW=25,BRD=1,HWBEAM=3,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=4,THETA=25.00,PHI=90.00,FREQ=1000,BW=25,BRD=1,HWBEAM=4,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=5,THETA=0.00,PHI=0.00,FREQ=1000,BW=25,BRD=1,HWBEAM=5,ZNOM=60.00,DIA=0.0&quot;], &quot;BEAMIMPLIST&quot;: [&quot;BEAM=1,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=2,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=3,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=4,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=5,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;], &quot;LISTLICENSE&quot;: [&quot;KEY=\\&quot;C390Y1LU32C1B\\&quot;,DESC=\\&quot;Averaging Mode\\&quot;,TYPE=1&quot;, &quot;KEY=\\&quot;6F2UB3HTH2C1B\\&quot;,DESC=\\&quot;Burst Five Beams\\&quot;,TYPE=17&quot;, &quot;KEY=\\&quot;R0X9JSZPH2C1B\\&quot;,DESC=\\&quot;128GB Recorder\\&quot;,TYPE=14&quot;], &quot;CALCOMPGET&quot;: &quot;DX=155,DY=778,DZ=-486,M11=31481,M12=1726,M13=-1109,M21=-1955,M22=32767,M23=379,M31=750,M32=-1851,M33=31699&quot;, &quot;CALTEMPGET&quot;: &quot;SC=0.99906&quot;, &quot;CALTILTGET&quot;: &quot;PO=0.00,RO=0.00,MAGG=1,HO=0.00&quot;, &quot;CALACCLGET&quot;: [&quot;AX=1.000000E+00,B0X=1.791816E-02,B1X=-1.795970E-02,B2X=6.661898E-04,B3X=0.000000E+00,A1X=1.146936E-05,A2X=7.326843E-06,A3X=0.000000E+00&quot;, &quot;AY=1.000000E+00,B0Y=9.597497E-03,B1Y=-8.430577E-03,B2Y=9.310668E-04,B3Y=0.000000E+00,A1Y=7.215003E-05,A2Y=1.361528E-06,A3Y=0.000000E+00&quot;, &quot;AZ=1.000000E+00,B0Z=1.290458E-02,B1Z=2.959575E-02,B2Z=2.331257E-03,B3Z=0.000000E+00,A1Z=1.164268E-04,A2Z=-2.166612E-06,A3Z=0.000000E+00&quot;], &quot;CALGYROGET&quot;: [&quot;AX=1.094973E+00,B0X=-2.672331E+00,B1X=-1.493178E-03,B2X=9.496510E-05,B3X=0.000000E+00,A1X=2.702698E-04,A2X=8.100271E-05,A3X=0.000000E+00&quot;, &quot;AY=1.080807E+00,B0Y=3.432283E-01,B1Y=7.219538E-04,B2Y=1.416728E-04,B3Y=0.000000E+00,A1Y=9.466633E-04,A2Y=-4.216283E-05,A3Y=0.000000E+00&quot;, &quot;AZ=1.085556E+00,B0Z=-9.442614E-01,B1Z=6.433576E-04,B2Z=-1.306087E-05,B3Z=0.000000E+00,A1Z=1.430541E-03,A2Z=-7.494539E-05,A3Z=0.000000E+00&quot;], &quot;CALPRESSGET&quot;: &quot;MT=1,RREF=4.5264760000e+02,RB0=7.7074756250e-01,RB1=-7.5541806250e-02,RB2=4.9886362500e-04,RB3=-1.4193179690e-07,T0=-2.4234620000e+03,T1=1.8815180000e+00,T2=-5.0111803130e-04,T3=4.7281500000e-08,ID=\\&quot;K244314\\&quot;&quot;, &quot;CALPRESSCOEFFGET&quot;: [&quot;A0=6.3850020000e+00,A1=-5.6274000000e-03,A2=1.6346411250e-06,A3=-1.6029240630e-10,B0=-2.6056009380e-01,B1=3.1699690630e-04,B2=-9.0774206250e-08,B3=8.5142393750e-12&quot;, &quot;C0=-1.2762860000e-03,C1=1.1561740000e-06,C2=-3.5109818750e-10,C3=3.5575718750e-14,D0=3.6002040630e-06,D1=-3.3359181250e-09,D2=1.0241850000e-12,D3=-1.0446648750e-16&quot;], &quot;CALROTACCLGET&quot;: &quot;M11=0.99144,M12=0.00991,M13=-0.03081,M21=-0.00921,M22=0.99564,M23=0.01131,M31=0.03451,M32=-0.01242,M33=0.98426&quot;, &quot;CALROTGYROGET&quot;: &quot;M11=1.00000,M12=0.00803,M13=-0.02685,M21=-0.00933,M22=1.00000,M23=0.01646,M31=0.02587,M32=-0.01599,M33=1.00000&quot;, &quot;CALECHOGET&quot;: &quot;CHA0=0.00,CHB0=-17.69,CHC0=0.00&quot;}</dd><dt><span>inst_model :</span></dt><dd>Signature1000</dd><dt><span>inst_make :</span></dt><dd>Nortek</dd><dt><span>inst_type :</span></dt><dd>ADCP</dd><dt><span>burst_config :</span></dt><dd>{&quot;press_valid&quot;: true, &quot;temp_valid&quot;: true, &quot;compass_valid&quot;: true, &quot;tilt_valid&quot;: true, &quot;vel&quot;: true, &quot;amp&quot;: true, &quot;corr&quot;: true, &quot;le&quot;: false, &quot;altraw&quot;: false, &quot;ast&quot;: false, &quot;echo&quot;: false, &quot;ahrs&quot;: true, &quot;p_gd&quot;: false, &quot;std&quot;: false}</dd><dt><span>n_cells :</span></dt><dd>28</dd><dt><span>n_beams :</span></dt><dd>4</dd><dt><span>ambig_vel :</span></dt><dd>5.066</dd><dt><span>SerialNum :</span></dt><dd>101663</dd><dt><span>nominal_corr :</span></dt><dd>67</dd><dt><span>cell_size :</span></dt><dd>0.5</dd><dt><span>blank_dist :</span></dt><dd>0.1</dd><dt><span>power_level_dB :</span></dt><dd>0.0</dd><dt><span>burst_config_b5 :</span></dt><dd>{&quot;press_valid&quot;: true, &quot;temp_valid&quot;: true, &quot;compass_valid&quot;: true, &quot;tilt_valid&quot;: true, &quot;vel&quot;: true, &quot;amp&quot;: true, &quot;corr&quot;: true, &quot;le&quot;: false, &quot;altraw&quot;: false, &quot;ast&quot;: false, &quot;echo&quot;: false, &quot;ahrs&quot;: true, &quot;p_gd&quot;: false, &quot;std&quot;: false}</dd><dt><span>n_cells_b5 :</span></dt><dd>28</dd><dt><span>coord_sys_axes_b5 :</span></dt><dd>beam</dd><dt><span>n_beams_b5 :</span></dt><dd>1</dd><dt><span>ambig_vel_b5 :</span></dt><dd>5.066</dd><dt><span>SerialNum_b5 :</span></dt><dd>101663</dd><dt><span>nominal_corr_b5 :</span></dt><dd>65</dd><dt><span>cell_size_b5 :</span></dt><dd>0.5</dd><dt><span>blank_dist_b5 :</span></dt><dd>0.1</dd><dt><span>power_level_dB_b5 :</span></dt><dd>0.0</dd><dt><span>wakeup_state :</span></dt><dd>clock</dd><dt><span>orientation :</span></dt><dd>AHRS</dd><dt><span>orient_status :</span></dt><dd>AHRS-3D</dd><dt><span>proc_idle_less_3pct :</span></dt><dd>0</dd><dt><span>proc_idle_less_6pct :</span></dt><dd>0</dd><dt><span>proc_idle_less_12pct :</span></dt><dd>0</dd><dt><span>rotate_vars :</span></dt><dd>[&#x27;vel&#x27;, &#x27;accel&#x27;, &#x27;accel_b5&#x27;, &#x27;angrt&#x27;, &#x27;angrt_b5&#x27;, &#x27;mag&#x27;, &#x27;mag_b5&#x27;]</dd><dt><span>coord_sys :</span></dt><dd>earth</dd><dt><span>fs :</span></dt><dd>1</dd><dt><span>has_imu :</span></dt><dd>1</dd><dt><span>beam_angle :</span></dt><dd>25</dd><dt><span>range_offset :</span></dt><dd>0.6</dd></dl></div></li></ul></div></div>"
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "And the raw velocity profile data:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 6,
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "image/png": 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",
+            "text/plain": [
+              "<Figure size 1500x400 with 6 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
       ],
-      "text/plain": [
-       "<xarray.Dataset> Size: 84MB\n",
-       "Dimensions:              (time: 55000, time_b5: 55000, range: 28, range_b5: 28,\n",
-       "                          beam: 4, dir: 4, dirIMU: 3, earth: 3, inst: 3, q: 4,\n",
-       "                          x1: 4, x2: 4)\n",
-       "Coordinates:\n",
-       "  * time                 (time) datetime64[ns] 440kB 2020-08-15T00:20:00.5009...\n",
-       "  * time_b5              (time_b5) datetime64[ns] 440kB 2020-08-15T00:20:00.4...\n",
-       "  * range                (range) float64 224B 1.2 1.7 2.2 2.7 ... 13.7 14.2 14.7\n",
-       "  * range_b5             (range_b5) float64 224B 1.2 1.7 2.2 ... 13.7 14.2 14.7\n",
-       "  * beam                 (beam) int32 16B 1 2 3 4\n",
-       "  * dir                  (dir) <U2 32B 'E' 'N' 'U1' 'U2'\n",
-       "  * dirIMU               (dirIMU) <U1 12B 'E' 'N' 'U'\n",
-       "  * earth                (earth) <U1 12B 'E' 'N' 'U'\n",
-       "  * inst                 (inst) <U1 12B 'X' 'Y' 'Z'\n",
-       "  * q                    (q) <U1 16B 'w' 'x' 'y' 'z'\n",
-       "  * x1                   (x1) int32 16B 1 2 3 4\n",
-       "  * x2                   (x2) int32 16B 1 2 3 4\n",
-       "Data variables: (12/40)\n",
-       "    c_sound              (time) float32 220kB 1.502e+03 1.502e+03 ... 1.498e+03\n",
-       "    temp                 (time) float32 220kB 14.55 14.55 14.55 ... 13.47 13.47\n",
-       "    pressure             (time) float32 220kB 9.713 9.718 9.718 ... 9.594 9.596\n",
-       "    mag                  (dirIMU, time) float32 660kB 72.5 72.7 ... -195.7\n",
-       "    accel                (dirIMU, time) float32 660kB -0.00479 ... 9.729\n",
-       "    batt                 (time) float32 220kB 16.6 16.6 16.6 ... 16.4 16.4 15.2\n",
-       "    ...                   ...\n",
-       "    heading              (time) float32 220kB -12.52 -12.51 ... -12.52 -12.5\n",
-       "    pitch                (time) float32 220kB -0.065 -0.06 -0.06 ... -0.05 -0.05\n",
-       "    roll                 (time) float32 220kB -7.425 -7.42 -7.42 ... -6.45 -6.45\n",
-       "    beam2inst_orientmat  (x1, x2) float32 64B 1.183 0.0 -1.183 ... 0.0 0.5518\n",
-       "    water_density        (time) float32 220kB 1.023e+03 1.023e+03 ... 1.023e+03\n",
-       "    depth                (time) float32 220kB 10.28 10.28 10.28 ... 10.16 10.16\n",
-       "Attributes: (12/35)\n",
-       "    filehead_config:       {\"CLOCKSTR\": {\"TIME\": \"\\\"2020-08-13 13:56:21\\\"\"}, ...\n",
-       "    inst_model:            Signature1000\n",
-       "    inst_make:             Nortek\n",
-       "    inst_type:             ADCP\n",
-       "    burst_config:          {\"press_valid\": true, \"temp_valid\": true, \"compass...\n",
-       "    n_cells:               28\n",
-       "    ...                    ...\n",
-       "    rotate_vars:           ['vel', 'accel', 'accel_b5', 'angrt', 'angrt_b5', ...\n",
-       "    coord_sys:             earth\n",
-       "    fs:                    1\n",
-       "    has_imu:               1\n",
-       "    beam_angle:            25\n",
-       "    range_offset:          0.6"
+      "source": [
+        "fig, axes = plt.subplots(1, 3, figsize=(15, 4))\n",
+        "\n",
+        "for i, ax in enumerate(axes):\n",
+        "    ds[\"vel\"][i].plot(ax=ax, vmin=-1.5, vmax=1.5, cmap=\"RdBu_r\")\n",
+        "    ax.set_title(ds[\"vel\"].coords[\"dir\"].values[i])\n",
+        "    ax.tick_params(axis=\"x\", labelrotation=45)\n",
+        "\n",
+        "plt.tight_layout()"
       ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ds"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Visualizing the Depth from the ADCP pressure sensor. This measurement includes any previously applied range offsets. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
+    },
     {
-     "data": {
-      "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x249c4ff40e0>]"
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## 2. Initial Steps for Data Quality Control (QC)\n",
+        "\n",
+        "### 2.1: Set the Deployment Height\n",
+        "\n",
+        "When using Nortek instruments, the deployment software does not factor in the deployment height. The deployment height represents the position of the Acoustic Doppler Current Profiler (ADCP) within the water column. \n",
+        "\n",
+        "In this context, the center of the first depth bin is situated at a distance that is the sum of three elements: \n",
+        "1. Deployment height (the ADCP's position in the water column)\n",
+        "2. Blanking distance (the minimum distance from the ADCP to the first measurement point)\n",
+        "3. Cell size (the vertical distance of each measurement bin in the water column)\n",
+        "\n",
+        "To ensure accurate readings, it is critical to calibrate the 'range' coordinate to make '0' correspond to either the seafloor or sea surface. This calibration can be achieved using the `set_range_offset` function. \n",
+        "\n",
+        "For those using a Teledyne RDI ADCP, the TRDI deployment software will prompt you to specify the deployment height/depth during setup in order to automatically calculate water depth. If there's a need for calibration post-deployment, the `set_range_offset` function can be utilized in the same way as described above to override the initially specified value."
       ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
     },
     {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
+      "cell_type": "code",
+      "execution_count": 7,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "# The ADCP transducers were measured to be 0.6 m from the feet of the lander\n",
+        "api.clean.set_range_offset(ds, 0.6)"
       ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "ds[\"depth\"].plot()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Updated water velocity plots with data above the surface removed. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
+    },
     {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1500x400 with 6 Axes>"
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "So, the center of bin 1 is located at 1.2 m, with a constant 0.5 m bin size."
       ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, axes = plt.subplots(1, 3, figsize=(15, 4))\n",
-    "\n",
-    "for i, ax in enumerate(axes):\n",
-    "    ds[\"vel\"][i].plot(ax=ax)\n",
-    "    ax.set_title(ds[\"vel\"].coords[\"dir\"].values[i])\n",
-    "    ax.tick_params(axis=\"x\", labelrotation=45)\n",
-    "\n",
-    "plt.tight_layout()"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 2.3: Apply an Acoustic Signal Correlation Filter\n",
-    "\n",
-    "After removing data from bins at or above the water surface, we typically apply a filter based on acoustic signal correlation to the ADCP data. This helps to eliminate erroneous velocity data points, which can be caused by factors such as bubbles, kelp, fish, etc., moving through one or multiple beams.\n",
-    "\n",
-    "You can quickly inspect the data to determine an appropriate correlation value by using the built-in plotting feature of xarray. In the following example, we use xarray's slicing capabilities to display data from beam 1 within a range of 0 to 10 m from the ADCP.\n",
-    "\n",
-    "It's important to note that not all ADCPs provide acoustic signal correlation data, which serves as a quantitative measure of signal quality. Older ADCPs may not offer this feature, in which case you can skip this step when using such instruments."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
+    },
     {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x800 with 8 Axes>"
+      "cell_type": "code",
+      "execution_count": 8,
+      "metadata": {},
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "      Statistic  Value\n",
+            "0           min    1.2\n",
+            "1           max   14.7\n",
+            "2  mean spacing    0.5\n",
+            "3   max spacing    0.5\n",
+            "4   min spacing    0.5\n"
+          ]
+        },
+        {
+          "data": {
+            "text/html": [
+              "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+              "<defs>\n",
+              "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+              "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+              "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+              "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+              "</symbol>\n",
+              "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+              "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+              "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+              "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+              "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+              "</symbol>\n",
+              "</defs>\n",
+              "</svg>\n",
+              "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
+              "\n",
+              ":root {\n",
+              "  --xr-font-color0: var(\n",
+              "    --jp-content-font-color0,\n",
+              "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+              "  );\n",
+              "  --xr-font-color2: var(\n",
+              "    --jp-content-font-color2,\n",
+              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+              "  );\n",
+              "  --xr-font-color3: var(\n",
+              "    --jp-content-font-color3,\n",
+              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+              "  );\n",
+              "  --xr-border-color: var(\n",
+              "    --jp-border-color2,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+              "  );\n",
+              "  --xr-disabled-color: var(\n",
+              "    --jp-layout-color3,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+              "  );\n",
+              "  --xr-background-color: var(\n",
+              "    --jp-layout-color0,\n",
+              "    var(--pst-color-on-background, white)\n",
+              "  );\n",
+              "  --xr-background-color-row-even: var(\n",
+              "    --jp-layout-color1,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+              "  );\n",
+              "  --xr-background-color-row-odd: var(\n",
+              "    --jp-layout-color2,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+              "  );\n",
+              "}\n",
+              "\n",
+              "html[theme=\"dark\"],\n",
+              "html[data-theme=\"dark\"],\n",
+              "body[data-theme=\"dark\"],\n",
+              "body.vscode-dark {\n",
+              "  --xr-font-color0: var(\n",
+              "    --jp-content-font-color0,\n",
+              "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+              "  );\n",
+              "  --xr-font-color2: var(\n",
+              "    --jp-content-font-color2,\n",
+              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+              "  );\n",
+              "  --xr-font-color3: var(\n",
+              "    --jp-content-font-color3,\n",
+              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+              "  );\n",
+              "  --xr-border-color: var(\n",
+              "    --jp-border-color2,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+              "  );\n",
+              "  --xr-disabled-color: var(\n",
+              "    --jp-layout-color3,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+              "  );\n",
+              "  --xr-background-color: var(\n",
+              "    --jp-layout-color0,\n",
+              "    var(--pst-color-on-background, #111111)\n",
+              "  );\n",
+              "  --xr-background-color-row-even: var(\n",
+              "    --jp-layout-color1,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+              "  );\n",
+              "  --xr-background-color-row-odd: var(\n",
+              "    --jp-layout-color2,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+              "  );\n",
+              "}\n",
+              "\n",
+              ".xr-wrap {\n",
+              "  display: block !important;\n",
+              "  min-width: 300px;\n",
+              "  max-width: 700px;\n",
+              "  line-height: 1.6;\n",
+              "}\n",
+              "\n",
+              ".xr-text-repr-fallback {\n",
+              "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+              "  display: none;\n",
+              "}\n",
+              "\n",
+              ".xr-header {\n",
+              "  padding-top: 6px;\n",
+              "  padding-bottom: 6px;\n",
+              "  margin-bottom: 4px;\n",
+              "  border-bottom: solid 1px var(--xr-border-color);\n",
+              "}\n",
+              "\n",
+              ".xr-header > div,\n",
+              ".xr-header > ul {\n",
+              "  display: inline;\n",
+              "  margin-top: 0;\n",
+              "  margin-bottom: 0;\n",
+              "}\n",
+              "\n",
+              ".xr-obj-type,\n",
+              ".xr-obj-name,\n",
+              ".xr-group-name {\n",
+              "  margin-left: 2px;\n",
+              "  margin-right: 10px;\n",
+              "}\n",
+              "\n",
+              ".xr-group-name::before {\n",
+              "  content: \"📁\";\n",
+              "  padding-right: 0.3em;\n",
+              "}\n",
+              "\n",
+              ".xr-group-name,\n",
+              ".xr-obj-type {\n",
+              "  color: var(--xr-font-color2);\n",
+              "}\n",
+              "\n",
+              ".xr-sections {\n",
+              "  padding-left: 0 !important;\n",
+              "  display: grid;\n",
+              "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+              "  margin-block-start: 0;\n",
+              "  margin-block-end: 0;\n",
+              "}\n",
+              "\n",
+              ".xr-section-item {\n",
+              "  display: contents;\n",
+              "}\n",
+              "\n",
+              ".xr-section-item input {\n",
+              "  display: inline-block;\n",
+              "  opacity: 0;\n",
+              "  height: 0;\n",
+              "  margin: 0;\n",
+              "}\n",
+              "\n",
+              ".xr-section-item input + label {\n",
+              "  color: var(--xr-disabled-color);\n",
+              "  border: 2px solid transparent !important;\n",
+              "}\n",
+              "\n",
+              ".xr-section-item input:enabled + label {\n",
+              "  cursor: pointer;\n",
+              "  color: var(--xr-font-color2);\n",
+              "}\n",
+              "\n",
+              ".xr-section-item input:focus + label {\n",
+              "  border: 2px solid var(--xr-font-color0) !important;\n",
+              "}\n",
+              "\n",
+              ".xr-section-item input:enabled + label:hover {\n",
+              "  color: var(--xr-font-color0);\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary {\n",
+              "  grid-column: 1;\n",
+              "  color: var(--xr-font-color2);\n",
+              "  font-weight: 500;\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary > span {\n",
+              "  display: inline-block;\n",
+              "  padding-left: 0.5em;\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary-in:disabled + label {\n",
+              "  color: var(--xr-font-color2);\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary-in + label:before {\n",
+              "  display: inline-block;\n",
+              "  content: \"►\";\n",
+              "  font-size: 11px;\n",
+              "  width: 15px;\n",
+              "  text-align: center;\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary-in:disabled + label:before {\n",
+              "  color: var(--xr-disabled-color);\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary-in:checked + label:before {\n",
+              "  content: \"▼\";\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary-in:checked + label > span {\n",
+              "  display: none;\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary,\n",
+              ".xr-section-inline-details {\n",
+              "  padding-top: 4px;\n",
+              "}\n",
+              "\n",
+              ".xr-section-inline-details {\n",
+              "  grid-column: 2 / -1;\n",
+              "}\n",
+              "\n",
+              ".xr-section-details {\n",
+              "  display: none;\n",
+              "  grid-column: 1 / -1;\n",
+              "  margin-top: 4px;\n",
+              "  margin-bottom: 5px;\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+              "  display: contents;\n",
+              "}\n",
+              "\n",
+              ".xr-group-box {\n",
+              "  display: inline-grid;\n",
+              "  grid-template-columns: 0px 20px auto;\n",
+              "  width: 100%;\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-vline {\n",
+              "  grid-column-start: 1;\n",
+              "  border-right: 0.2em solid;\n",
+              "  border-color: var(--xr-border-color);\n",
+              "  width: 0px;\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-hline {\n",
+              "  grid-column-start: 2;\n",
+              "  grid-row-start: 1;\n",
+              "  height: 1em;\n",
+              "  width: 20px;\n",
+              "  border-bottom: 0.2em solid;\n",
+              "  border-color: var(--xr-border-color);\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-contents {\n",
+              "  grid-column-start: 3;\n",
+              "}\n",
+              "\n",
+              ".xr-array-wrap {\n",
+              "  grid-column: 1 / -1;\n",
+              "  display: grid;\n",
+              "  grid-template-columns: 20px auto;\n",
+              "}\n",
+              "\n",
+              ".xr-array-wrap > label {\n",
+              "  grid-column: 1;\n",
+              "  vertical-align: top;\n",
+              "}\n",
+              "\n",
+              ".xr-preview {\n",
+              "  color: var(--xr-font-color3);\n",
+              "}\n",
+              "\n",
+              ".xr-array-preview,\n",
+              ".xr-array-data {\n",
+              "  padding: 0 5px !important;\n",
+              "  grid-column: 2;\n",
+              "}\n",
+              "\n",
+              ".xr-array-data,\n",
+              ".xr-array-in:checked ~ .xr-array-preview {\n",
+              "  display: none;\n",
+              "}\n",
+              "\n",
+              ".xr-array-in:checked ~ .xr-array-data,\n",
+              ".xr-array-preview {\n",
+              "  display: inline-block;\n",
+              "}\n",
+              "\n",
+              ".xr-dim-list {\n",
+              "  display: inline-block !important;\n",
+              "  list-style: none;\n",
+              "  padding: 0 !important;\n",
+              "  margin: 0;\n",
+              "}\n",
+              "\n",
+              ".xr-dim-list li {\n",
+              "  display: inline-block;\n",
+              "  padding: 0;\n",
+              "  margin: 0;\n",
+              "}\n",
+              "\n",
+              ".xr-dim-list:before {\n",
+              "  content: \"(\";\n",
+              "}\n",
+              "\n",
+              ".xr-dim-list:after {\n",
+              "  content: \")\";\n",
+              "}\n",
+              "\n",
+              ".xr-dim-list li:not(:last-child):after {\n",
+              "  content: \",\";\n",
+              "  padding-right: 5px;\n",
+              "}\n",
+              "\n",
+              ".xr-has-index {\n",
+              "  font-weight: bold;\n",
+              "}\n",
+              "\n",
+              ".xr-var-list,\n",
+              ".xr-var-item {\n",
+              "  display: contents;\n",
+              "}\n",
+              "\n",
+              ".xr-var-item > div,\n",
+              ".xr-var-item label,\n",
+              ".xr-var-item > .xr-var-name span {\n",
+              "  background-color: var(--xr-background-color-row-even);\n",
+              "  border-color: var(--xr-background-color-row-odd);\n",
+              "  margin-bottom: 0;\n",
+              "  padding-top: 2px;\n",
+              "}\n",
+              "\n",
+              ".xr-var-item > .xr-var-name:hover span {\n",
+              "  padding-right: 5px;\n",
+              "}\n",
+              "\n",
+              ".xr-var-list > li:nth-child(odd) > div,\n",
+              ".xr-var-list > li:nth-child(odd) > label,\n",
+              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+              "  background-color: var(--xr-background-color-row-odd);\n",
+              "  border-color: var(--xr-background-color-row-even);\n",
+              "}\n",
+              "\n",
+              ".xr-var-name {\n",
+              "  grid-column: 1;\n",
+              "}\n",
+              "\n",
+              ".xr-var-dims {\n",
+              "  grid-column: 2;\n",
+              "}\n",
+              "\n",
+              ".xr-var-dtype {\n",
+              "  grid-column: 3;\n",
+              "  text-align: right;\n",
+              "  color: var(--xr-font-color2);\n",
+              "}\n",
+              "\n",
+              ".xr-var-preview {\n",
+              "  grid-column: 4;\n",
+              "}\n",
+              "\n",
+              ".xr-index-preview {\n",
+              "  grid-column: 2 / 5;\n",
+              "  color: var(--xr-font-color2);\n",
+              "}\n",
+              "\n",
+              ".xr-var-name,\n",
+              ".xr-var-dims,\n",
+              ".xr-var-dtype,\n",
+              ".xr-preview,\n",
+              ".xr-attrs dt {\n",
+              "  white-space: nowrap;\n",
+              "  overflow: hidden;\n",
+              "  text-overflow: ellipsis;\n",
+              "  padding-right: 10px;\n",
+              "}\n",
+              "\n",
+              ".xr-var-name:hover,\n",
+              ".xr-var-dims:hover,\n",
+              ".xr-var-dtype:hover,\n",
+              ".xr-attrs dt:hover {\n",
+              "  overflow: visible;\n",
+              "  width: auto;\n",
+              "  z-index: 1;\n",
+              "}\n",
+              "\n",
+              ".xr-var-attrs,\n",
+              ".xr-var-data,\n",
+              ".xr-index-data {\n",
+              "  display: none;\n",
+              "  border-top: 2px dotted var(--xr-background-color);\n",
+              "  padding-bottom: 20px !important;\n",
+              "  padding-top: 10px !important;\n",
+              "}\n",
+              "\n",
+              ".xr-var-attrs-in + label,\n",
+              ".xr-var-data-in + label,\n",
+              ".xr-index-data-in + label {\n",
+              "  padding: 0 1px;\n",
+              "}\n",
+              "\n",
+              ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+              ".xr-var-data-in:checked ~ .xr-var-data,\n",
+              ".xr-index-data-in:checked ~ .xr-index-data {\n",
+              "  display: block;\n",
+              "}\n",
+              "\n",
+              ".xr-var-data > table {\n",
+              "  float: right;\n",
+              "}\n",
+              "\n",
+              ".xr-var-data > pre,\n",
+              ".xr-index-data > pre,\n",
+              ".xr-var-data > table > tbody > tr {\n",
+              "  background-color: transparent !important;\n",
+              "}\n",
+              "\n",
+              ".xr-var-name span,\n",
+              ".xr-var-data,\n",
+              ".xr-index-name div,\n",
+              ".xr-index-data,\n",
+              ".xr-attrs {\n",
+              "  padding-left: 25px !important;\n",
+              "}\n",
+              "\n",
+              ".xr-attrs,\n",
+              ".xr-var-attrs,\n",
+              ".xr-var-data,\n",
+              ".xr-index-data {\n",
+              "  grid-column: 1 / -1;\n",
+              "}\n",
+              "\n",
+              "dl.xr-attrs {\n",
+              "  padding: 0;\n",
+              "  margin: 0;\n",
+              "  display: grid;\n",
+              "  grid-template-columns: 125px auto;\n",
+              "}\n",
+              "\n",
+              ".xr-attrs dt,\n",
+              ".xr-attrs dd {\n",
+              "  padding: 0;\n",
+              "  margin: 0;\n",
+              "  float: left;\n",
+              "  padding-right: 10px;\n",
+              "  width: auto;\n",
+              "}\n",
+              "\n",
+              ".xr-attrs dt {\n",
+              "  font-weight: normal;\n",
+              "  grid-column: 1;\n",
+              "}\n",
+              "\n",
+              ".xr-attrs dt:hover span {\n",
+              "  display: inline-block;\n",
+              "  background: var(--xr-background-color);\n",
+              "  padding-right: 10px;\n",
+              "}\n",
+              "\n",
+              ".xr-attrs dd {\n",
+              "  grid-column: 2;\n",
+              "  white-space: pre-wrap;\n",
+              "  word-break: break-all;\n",
+              "}\n",
+              "\n",
+              ".xr-icon-database,\n",
+              ".xr-icon-file-text2,\n",
+              ".xr-no-icon {\n",
+              "  display: inline-block;\n",
+              "  vertical-align: middle;\n",
+              "  width: 1em;\n",
+              "  height: 1.5em !important;\n",
+              "  stroke-width: 0;\n",
+              "  stroke: currentColor;\n",
+              "  fill: currentColor;\n",
+              "}\n",
+              "\n",
+              ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+              ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+              ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+              "  color: var(--xr-font-color0);\n",
+              "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+              "  stroke-width: 0.8px;\n",
+              "}\n",
+              "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;range&#x27; (range: 28)&gt; Size: 224B\n",
+              "array([ 1.2,  1.7,  2.2,  2.7,  3.2,  3.7,  4.2,  4.7,  5.2,  5.7,  6.2,  6.7,\n",
+              "        7.2,  7.7,  8.2,  8.7,  9.2,  9.7, 10.2, 10.7, 11.2, 11.7, 12.2, 12.7,\n",
+              "       13.2, 13.7, 14.2, 14.7])\n",
+              "Coordinates:\n",
+              "  * range    (range) float64 224B 1.2 1.7 2.2 2.7 3.2 ... 13.2 13.7 14.2 14.7\n",
+              "Attributes:\n",
+              "    coverage_content_type:  coordinate\n",
+              "    units:                  m\n",
+              "    long_name:              Profile Range\n",
+              "    description:            Distance to the center of each depth bin</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>&#x27;range&#x27;</div><ul class='xr-dim-list'><li><span class='xr-has-index'>range</span>: 28</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b85c62e4-be8a-440b-addf-22e99b3732b2' class='xr-array-in' type='checkbox' checked><label for='section-b85c62e4-be8a-440b-addf-22e99b3732b2' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.2 1.7 2.2 2.7 3.2 3.7 4.2 4.7 ... 11.7 12.2 12.7 13.2 13.7 14.2 14.7</span></div><div class='xr-array-data'><pre>array([ 1.2,  1.7,  2.2,  2.7,  3.2,  3.7,  4.2,  4.7,  5.2,  5.7,  6.2,  6.7,\n",
+              "        7.2,  7.7,  8.2,  8.7,  9.2,  9.7, 10.2, 10.7, 11.2, 11.7, 12.2, 12.7,\n",
+              "       13.2, 13.7, 14.2, 14.7])</pre></div></div></li><li class='xr-section-item'><input id='section-c504fe3a-f4c7-4797-a5b9-5ac1ab74105a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c504fe3a-f4c7-4797-a5b9-5ac1ab74105a' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2 1.7 2.2 2.7 ... 13.7 14.2 14.7</div><input id='attrs-f9d5a0fa-ba71-4745-bd36-a3c8d5328790' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9d5a0fa-ba71-4745-bd36-a3c8d5328790' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff13e2db-7742-4ad3-841b-8f28d39417e1' class='xr-var-data-in' type='checkbox'><label for='data-ff13e2db-7742-4ad3-841b-8f28d39417e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Profile Range</dd><dt><span>description :</span></dt><dd>Distance to the center of each depth bin</dd></dl></div><div class='xr-var-data'><pre>array([ 1.2,  1.7,  2.2,  2.7,  3.2,  3.7,  4.2,  4.7,  5.2,  5.7,  6.2,  6.7,\n",
+              "        7.2,  7.7,  8.2,  8.7,  9.2,  9.7, 10.2, 10.7, 11.2, 11.7, 12.2, 12.7,\n",
+              "       13.2, 13.7, 14.2, 14.7])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e6e1bd8b-24b8-4ca5-a70a-da5da99210a0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e6e1bd8b-24b8-4ca5-a70a-da5da99210a0' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Profile Range</dd><dt><span>description :</span></dt><dd>Distance to the center of each depth bin</dd></dl></div></li></ul></div></div>"
+            ],
+            "text/plain": [
+              "<xarray.DataArray 'range' (range: 28)> Size: 224B\n",
+              "array([ 1.2,  1.7,  2.2,  2.7,  3.2,  3.7,  4.2,  4.7,  5.2,  5.7,  6.2,  6.7,\n",
+              "        7.2,  7.7,  8.2,  8.7,  9.2,  9.7, 10.2, 10.7, 11.2, 11.7, 12.2, 12.7,\n",
+              "       13.2, 13.7, 14.2, 14.7])\n",
+              "Coordinates:\n",
+              "  * range    (range) float64 224B 1.2 1.7 2.2 2.7 3.2 ... 13.2 13.7 14.2 14.7\n",
+              "Attributes:\n",
+              "    coverage_content_type:  coordinate\n",
+              "    units:                  m\n",
+              "    long_name:              Profile Range\n",
+              "    description:            Distance to the center of each depth bin"
+            ]
+          },
+          "execution_count": 8,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "range_da = ds[\"range\"]\n",
+        "spacing = range_da.diff(\"range\")\n",
+        "\n",
+        "range_stats = pd.DataFrame(\n",
+        "    {\n",
+        "        \"Statistic\": [\"min\", \"max\", \"mean spacing\", \"max spacing\", \"min spacing\"],\n",
+        "        \"Value\": [\n",
+        "            float(range_da.min().values),\n",
+        "            float(range_da.max().values),\n",
+        "            float(spacing.mean().values),\n",
+        "            float(spacing.max().values),\n",
+        "            float(spacing.min().values),\n",
+        "        ],\n",
+        "    }\n",
+        ")\n",
+        "\n",
+        "print(range_stats)\n",
+        "ds.range"
       ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "%matplotlib inline\n",
-    "fig, axes = plt.subplots(2, 2, figsize=(12, 8), sharex=True, sharey=True)\n",
-    "\n",
-    "for i, ax in enumerate(axes.ravel()):\n",
-    "    ds[\"corr\"].isel(beam=i).sel(range=slice(0, 10)).plot(ax=ax)\n",
-    "    ax.set_title(f\"Beam {int(ds['beam'].isel(beam=i).values)}\")\n",
-    "\n",
-    "plt.tight_layout()"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "It's beneficial to also review data from the other beams. A significant portion of this data is of high quality. To avoid discarding valuable data with lower correlations, which could be due to natural variations, we can use the `correlation_filter`. This function assigns a value of NaN (not a number) to velocity values corresponding to correlations below 50%.\n",
-    "\n",
-    "However, it's important to note that the correlation threshold is dependent on the specifics of the deployment environment and the instrument used. It's not unusual to set a threshold as low as 30%, or even to forgo the use of this function entirely."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ds = api.clean.correlation_filter(ds, thresh=50)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Updated velocity plots filtered for beam correlation. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
+    },
     {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1500x400 with 6 Axes>"
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### 2.2. Discard Data Above Surface Level and Surface Interference\n",
+        "\n",
+        "To reduce computational load, we can exclude all data at or above the water surface level, including that affected by surface interference. Since the instrument was oriented upwards, we can utilize the pressure sensor data along with the function `water_depth_from_pressure` to find the water depth. However, this approach necessitates that the pressure sensor was calibrated or 'zeroed' prior to deployment. If the instrument is facing downwards or doesn't include pressure data, the function `water_depth_from_amplitude` can be used to detect the seabed or water surface.\n",
+        "\n",
+        "It's important to note that Acoustic Doppler Current Profilers (ADCPs) do not measure water salinity, so you'll need to supply this information to the function. If `water_depth_from_pressure` is called after `set_range_offset`, \"depth\" represents the distance from the water surface to the seafloor. Otherwise, it indicates the distance to the ADCP pressure sensor.\n",
+        "\n",
+        "After determining the \"depth\", you can use the `remove_surface_interference` function to discard data in depth bins at or above the actual water surface. Be aware that this function will generate a new dataset."
       ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, axes = plt.subplots(1, 3, figsize=(15, 4))\n",
-    "\n",
-    "for i, ax in enumerate(axes):\n",
-    "    ds[\"vel\"][i].plot(ax=ax)\n",
-    "    ax.set_title(ds[\"vel\"].coords[\"dir\"].values[i])\n",
-    "    ax.tick_params(axis=\"x\", labelrotation=45)\n",
-    "\n",
-    "plt.tight_layout()"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 2.4 Rotate Data Coordinate System\n",
-    "\n",
-    "After cleaning the data, the next step is to rotate the velocity data into accurate East, North, Up (ENU) coordinates.\n",
-    "\n",
-    "ADCPs utilize an internal compass or magnetometer to determine magnetic ENU directions. You can use the set_declination function to adjust the velocity data according to the magnetic declination specific to your geographical coordinates. This declination can be looked up online for specific coordinates.\n",
-    "\n",
-    "Instruments save vector data in the coordinate system defined in the deployment configuration file. To make this data meaningful, it must be transformed through various coordinate systems (\"beam\"<->\"inst\"<->\"earth\"<->\"principal\"). This transformation is accomplished using the `rotate2` function. If the \"earth\" (ENU) coordinate system is specified, DOLfYN will automatically rotate the dataset through the required coordinate systems to reach the \"earth\" coordinates. Setting `inplace` to true will modify the input dataset directly, meaning it will not create a new dataset.\n",
-    "\n",
-    "In this case, since the ADCP data is already in the \"earth\" coordinate system, the `rotate2` function will return the input dataset without modifications. The `set_declination` function will work no matter the coordinate system."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
+    },
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Data is already in the earth coordinate system\n"
-     ]
-    }
-   ],
-   "source": [
-    "dolfyn.set_declination(ds, 15.8, inplace=True)  # 15.8 deg East\n",
-    "dolfyn.rotate2(ds, \"earth\", inplace=True)"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "To rotate into the principal frame of reference (streamwise, cross-stream, vertical), if desired, we must first calculate the depth-averaged principal flow heading and add it to the dataset attributes. Then the dataset can be rotated using the same `rotate2` function. We use `inplace=False` because we do not want to alter the input dataset here."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ds.attrs[\"principal_heading\"] = dolfyn.calc_principal_heading(ds[\"vel\"].mean(\"range\"))\n",
-    "ds = dolfyn.rotate2(ds, \"principal\", inplace=False)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Updated velocity histograms and contour plots for rotated velocity. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "execution_count": 9,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "api.clean.water_depth_from_pressure(ds, salinity=31)\n",
+        "ds = api.clean.remove_surface_interference(ds)"
+      ]
+    },
     {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x1200 with 4 Axes>"
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Visualizing the depth from the ADCP pressure sensor, and this depth includes any previously applied range offsets. We can plot the water depth along with the cleaned velocity profiles:"
       ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "vel = ds[\"vel\"]\n",
-    "\n",
-    "vel_dim = [d for d in vel.dims if d in (\"dir\", \"earth\", \"inst\", \"beam\")][0]\n",
-    "labels = vel.coords[vel_dim].values\n",
-    "\n",
-    "fig, axes = plt.subplots(len(labels), 1, figsize=(8, 3 * len(labels)), sharex=True)\n",
-    "\n",
-    "if len(labels) == 1:\n",
-    "    axes = [axes]\n",
-    "\n",
-    "for ax_i, label in zip(axes, labels):\n",
-    "    values = vel.sel({vel_dim: label}).values.ravel()\n",
-    "    values = values[np.isfinite(values)]\n",
-    "\n",
-    "    ax_i.hist(values, bins=50, color=\"steelblue\", edgecolor=\"black\", alpha=0.8)\n",
-    "    ax_i.set_title(f\"Velocity histogram: {label}\")\n",
-    "    ax_i.set_ylabel(\"Count\")\n",
-    "\n",
-    "axes[-1].set_xlabel(\"Velocity [m/s]\")\n",
-    "plt.tight_layout()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
+    },
     {
-     "data": {
-      "image/png": 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8qXb//ffr99KnuTS063rSTOod1lWfQEQVLiKqIIVCIfr+978fzZgxI6quro5SqZT+/etf/7p7mnQ6HX3lK1+J6urqpMlWNHnyZB3/2GOP6ec//elPa1z2yy+/HB166KFRY2NjFIvFdL7DDz88euSRR7qnaWlpiY499tho1KhRUVVVVbTffvtF77zzjk57zDHHdE9300036bqef/75Xus455xzdPyyZct6jZd55bes6rDDDtPp77zzzu5xxWIxSiaTkeu6US6X6zV913pnz56tn1966aXoyCOPjCZNmqS/qampKfrc5z4XvfDCC6ut6ze/+U204447RolEQrft9OnTox/84AfRwoUL17FHiIiIyufFF1+MbNuOTj311F7jfd+PPv7xj0fjxo3TWLwmH3zwQXTcccdFm2yySRSPx6OGhoZor732iv75z3/2mk7i9u67767xTmJmV/xeW4zucvfdd0ef/OQnNV7LsOWWW0bf/OY3o5kzZ3ZP89Zbb0X77LOP5hEkr3DCCSdEr776qi5XYvRHxf099tgj2mabbVYbL/mMAw888CO3HxERUaV6+OGHNV4ahhHNnz9/te9nzZoVHX300VFzc3PkOE40fvx4Ldv++c9//shyeJef/vSnOp9pmr3KzV3zrWnoWc4nouHHkH8Gu3KeiIiIiIiIiIiIiGhjYR/jRERERERERERERDSisGKciIiIiIiIiIiIiEYUVowTERERERERERER0YjCinEiIiIiIiIiIiIiGlFYMU5EREREREREREREIworxomIiIiIiIiIiIhoRLExzIVhiIULF6K6uhqGYQx2coiIBlUURejo6MC4ceNgmuW5N5rP51EsFvs1j+u6iMfjZVk/DT+M3URE/8XYTZWAsZuI6L8YuyvHsK8Yl0rxiRMnDnYyiIiGlPnz52PChAllqRRvTFQhi6Bf8zU3N2P27NmsHKc1YuwmIlodYzcNZYzdRESrY+we+oZ9xbi0FO86GGtqagY7OUREg6q9vV1vFnZdGzeUtBSXSvGjMR5uH3vnKiLELYsX6LxsNU5rwthNRPRfjN1UCRi7iYj+i7G7cgz7ivGu7lOkUpwV40REva+N5ZIwLLhG3yrGrcgAIu4JWjvGbiKitV8by4Wxm8qJsZuIaO3XxnJh7C6/YV8xTkREA880AKuPMV+rz1kxTkRENKgYu4mIiCoLY3f5sWKciIg2mGUYOvRpWvBFyERERIONsZuIiKiyMHaXHyvGiYhog1n9aDFucXsTERENOsZuIiKiysLYXX596xCWiIiIiIiIiIiIiGiYYItxIiLaYHyki4iIqLIwdhMREVUWxu7yY8U4ERFtMD7SRUREVFkYu4mIiCoLY3f5sWKciIg2GO9cExERVRbGbiIiosrC2F1+rBgnIqINZvTjpRV9fEcnERERDSDGbiIiosrC2F1+rBgnIqINxjvXRERElYWxm4iIqLIwdpcfK8aJiGiDsa8zIiKiysLYTUREVFkYu8uPFeNERFSmAN23TlIsbm8iIqJBx9hNRERUWRi7y6+vXcIOiCeeeAIHHXQQxo0bB8MwcN9996112pNOOkmnueKKKzZqGomIqO93rvs6UOVi7CYiGh4Yu0cOxm4iouGBsXuYVYxnMhnMmDED11xzzTqnu/fee/HMM89oBToREQ3dvs76OlDlYuwmIhoeGLtHDsZuIqLhgbF7mFWM77///rjgggtwyCGHrHWaBQsW4NRTT8Vtt90Gx3E2avqIiKhvzH60FpdpqXIxdhMRDQ8DHbv700q5y+OPP44ddtgBsVgMm266KW6++eb1+3HUC2M3EdHwwHL3COtjPAxD/L//9//w/e9/H9tss02f5ikUCjp0aW9vH8AUEhGR4NuxqQtjNxFRZRjo2N3VSvm4447DoYce+pHTz549GwceeKB2oSmNoh555BF8/etfx9ixY7Hffvv1e/3Ud4zdRESVgeXuEVYxfvHFF8O2bXzrW9/q8zwXXXQRzjvvvAFNFxER9ca3Y1MXxm4iosow0LFbWinL0FfXXXcdpk6dil/+8pf6eauttsKTTz6Jyy+/nBXjA4yxm4ioMrDcPcy6UlmXF198EVdeeaU+PieP3vXVmWeeiba2tu5h/vz5A5pOIiLiS0CohLGbiKhyDLUXeD399NPYZ599eo2TluIyngYOYzcRUeUYarF7OBiyFeP//ve/sXTpUkyaNElbjcswd+5cfPe738WUKVPWOp/0R1dTU9NrICKigcWXgBBjNxHR8I/d0k1lz6FnF5YbavHixRgzZkyvcfJZ1pPL5cq2HuqN5W4iosrBcvcI6kpF+hZfU4sBGX/ssccOWrqIiGjNj1j3+XHsiFtwuGLsJiIa3rF74sSJvcafc845OPfccwcgdbSxMHYTEVUOlruHWcV4Op3G+++/3+uFK6+88goaGhq0pXhjY2Ov6R3HQXNzM7bYYotBSC0REa2N2Y8XeMm0VLkYu4mIRm7slm4qez6RK0/rlouU85YsWdJrnHyW9SUSibKtZyRi7CYiGh5Y7h5mFeMvvPAC9tprr+7Pp59+uv5/zDHHaN/iREQ0DF8CwnrxisbYTUQ0cmP3QHZVueuuu+Jvf/tbr3EPP/ywjqcNw9hNRDQ8sNw9zCrG99xzT0RR35+pnzNnzoCmh4iI1k/P/kf7Mm1/PfHEE7jkkkv0BVGLFi3Cvffei4MPPnit0z/++OO9brx2kXmlRRqtP8ZuIqLhYaBj90e1Uj7zzDOxYMEC3HLLLfr9SSedhKuvvho/+MEPcNxxx+HRRx/FXXfdhQceeKDf66beGLuJiIaHgY7dI9GQ7WOciIgqx0Dfuc5kMpgxY4YWlA899NA+zzdz5sxeLduampr6v3IiIqJhaKBj90e1Upab1fPmzev+furUqVoJftppp+HKK6/EhAkTcOONN+p7poiIiIgtxgcCK8aJiGjI37nef//9degvqQivq6vr93xERETD3UDH7o9qpbymrjNlnpdffrnf6yIiIhoJ2GK8/MwBWCYREY3Al4D0ZxDt7e29hkKhUPZ0bbfddhg7diw+85nP4D//+U/Zl09ERDSSYjcRERENHsbu8mPFOBERbTDDMvo1iIkTJ6K2trZ7uOiii8q2J6Qy/LrrrsPdd9+tg6xLWqG99NJLZVsHERHRSIvdRERENHgYu8uPXakQEdEGMy0Dptm3QnNXq7P58+f36v87FouVbU9sscUWOnTZbbfdMGvWLFx++eW49dZby7YeIiKikRS7iYiIaPAwdpcfK8aJiGjDWSYMs48PIRml/kalUrxnxfhA23nnnfHkk09utPURERENt9hNREREg4ixu+xYMU5ERBvMMPv+mLWBwWl19sorr2gXK0RERFQZsZuIiIj+i7G7/FgxTkRE5Xmkq4+Fa3M9CtfpdBrvv/9+9+fZs2drRXdDQwMmTZqEM888EwsWLMAtt9yi319xxRWYOnUqttlmG+Tzedx444149NFH8dBDD/V73URERMPRQMduIiIiKi/G7vJjxTgREW0weRS7r49jG1H/H8d+4YUXsNdee3V/Pv300/X/Y445BjfffDMWLVqEefPmdX9fLBbx3e9+VyvLk8kktt12W/zzn//stQwiIqKRbKBjNxEREZUXY3f59bFTOSIioo9uddbXob/23HNPRFG02iCV4kL+f/zxx7un/8EPfqAtzHO5HFasWIHHHnuMleJEREQbMXYTERFR5cXua665BlOmTEE8Hscuu+yC5557rk/z3XHHHTAMAwcffDAqCSvGiYhog0kfpf0ZiIiIaHAxdhMREVWWgY7dd955pz6dfc455+Cll17CjBkzsN9++2Hp0qXrnG/OnDn43ve+h0996lOoNKwYJyKiDVYKvGYfB1aMExERDTbGbiIiosoy0LH7sssuwwknnIBjjz0WW2+9Na677jrtmvR3v/vdWucJggBHHXUUzjvvPEybNg2VhhXjRES04cGEj2MTERFVFMZuIiKiyjKQsbtYLOLFF1/EPvvs89/1maZ+fvrpp9c63/nnn4+mpiYcf/zxqER8+SYRERERERERERHRMNPe3t7rcywW02FVy5cv19bfY8aM6TVePr/zzjtrXPaTTz6J3/72t3jllVdQqdhinIiINpi8ZMMw+zgY7EqFiIhosDF2ExERDf/YPXHiRNTW1nYPF110UVnS0tHRgf/3//4fbrjhBowaNQqVii3GiYhog5mWqUOfpo14T5aIiGiwMXYTEREN/9g9f/581NTUdI9fU2txIZXblmVhyZIl6Ek+Nzc3Y1WzZs3Sl24edNBB3ePCMNT/bdvGzJkzsckmm2CoY8U4ERFtsP689dqI2GKciIhosDF2ExERDf/YLZXiPSvG18Z1Xey444545JFHcPDBB3dXdMvnU045ZbXpt9xyS7z++uu9xp111lnakvzKK6/UluqVgBXjRES0wVi4JiIiqiyM3URERJVloGP36aefjmOOOQY77bQTdt55Z1xxxRXIZDI49thj9fujjz4a48eP1+5Y4vE4Pvaxj/Wav66uTv9fdfxQxopxIiLaYHwcm4iIqLIwdhMREVWWgY7dRxxxBJYtW4af/OQnWLx4Mbbbbjs8+OCD3S/knDdvHkxzeHWNyopxIiLacP24cw12pUJERDT4GLuJiIgqy0aI3aeccsoau04Rjz/++Drnvfnmm1FpWDFOREQbzDQMmKbR52mJiIhocDF2ExERVRbG7vJjxTgREW0wwzJ16NO04fB69IqIiKgSMXYTERFVFsbu8mPFOBERbTDTMnTo07QhW4wTERENNsZuIiKiysLYXX6sGCcioo37dmxWjBMREQ06xm4iIqLKwthdfqwYJyKiDcZHuoiIiCoLYzcREVFlYewuP1aMExHRBjOt0mNdfZo25AYnIiIabIzdRERElYWxu/xYMU5ERBvMMA0d+jotERERDS7GbiIiosrC2F1+JgbRE088gYMOOgjjxo2DYRi47777ur/zPA8//OEPMX36dKRSKZ3m6KOPxsKFCwczyUREtAamacK0+jiYgxp6aAMxdhMRDQ+M3SMHYzcR0fDA2F1+g1o7kclkMGPGDFxzzTWrfZfNZvHSSy/h7LPP1v/vuecezJw5E5///OcHJa1ERPTRLwHp60CVi7GbiGh4YOweORi7iYiGB8buYdaVyv7776/DmtTW1uLhhx/uNe7qq6/GzjvvjHnz5mHSpEkbKZVERFTWl4D0cToamhi7iYiGB8bukYOxm4hoeGDsHuF9jLe1tWmXK3V1dWudplAo6NClvb19I6WOiGjkMkxTh75OSyMHYzcR0dDE2E1rw9hNRDQ0MXaXX8XUTuTzee1z/Mgjj0RNTc1ap7vooou0tXnXMHHixI2aTiKikajP/Yt3DjQyMHYTEQ1djN20JozdRERDF2P3CG0xLi/iPPzwwxFFEa699tp1TnvmmWfi9NNP79VinJXjREQDrB9dqci0lW59nkZa103d4Yixm4hoiGPs/kiM3WvHcjcR0SBg7C577LYrpWA9d+5cPProox/5A2OxmA5ERLSRH+myRk5XKtKll3Tt1Vcy7bvvvotp06ZhJGDsJiIa+hi7P2L7MHavc/uw3E1EtPExdpc/dtuVULB+77338Nhjj6GxsXGwk0RERIPQ19kTTzyBSy65BC+++CIWLVqEe++9FwcffPA653n88cf1CaI333xTnxw666yz8LWvfa1s++/Pf/4zGhoaPnI6edrpgAMOwEjB2E1EVBlGYj+ljN1rxthNRFQZGLvLX+4e1IrxdDqN999/v/vz7Nmz8corr2hFw9ixY/GlL30JL730Ev76178iCAIsXrxYp5PvXdcdxJQTEdHqb8e2+rRRDCvo98bLZDKYMWMGjjvuOBx66KEfOb3EkwMPPBAnnXQSbrvtNjzyyCP4+te/rrFlv/322+CdN3nyZOy+++59vmErd6wdx8FwwNhNRDQ8DHTsHmoYu1nuJiKqdIzd5S93D2rF+AsvvIC99tqr+3NX3+DHHHMMzj33XNx///36ebvttus1n7Qe33PPPTdyaomIaN0Buo+tztajj/H9999fh7667rrrMHXqVPzyl7/Uz1tttRWefPJJXH755WWpGJeK9/544403MFwwdhMRDQ8DHbuHGsZulruJiCodY3f5y92DWjEuldvS1H1t1vUdERENHaZp6tDXadf0Asty9lX59NNPY5999uk1TirEv/Od75Rl+SMZYzcR0ciN3VSZGLuJiIYHxu7yYw6HiIjKdue6r4OQfr9ra2u7h4suuqhse0K63hozZkyvcfJZKuNzuRw2hiVLluD888/fKOsiIiLaGLF7uGPsJiKioYyxu/yxe2TkcIiIaMgF6Pnz56Otra17OPPMM4fVXpLK+fPOO2+wk0FERLRGLFyvjrGbiIiGMsbu8sfuQe1KhYiIhgfDMPUN2X2dVtTU1OgwEJqbm/XOcU/yWdaXSCTKso7XXnttnd/PnDmzLOshIiIaKrG70jF2ExFRJWPsLn+5mxXjREQ07F4Csuuuu+Jvf/tbr3EPP/ywji8XeTG0YRhrfB9G13j5n4iIaCgaarF7Y2DsJiKiSsbYXf5yNyvGiYhoyAfodDqN999/v/vz7Nmz8corr6ChoQGTJk3SblgWLFiAW265Rb8/6aSTcPXVV+MHP/gBjjvuODz66KO466678MADD6BcZN2/+MUvsPfee6/x+zfffBMHHXRQ2dZHRERUTiOxcM3YTURElYyxu/zlblaMExHRBjMtU4e+TttfL7zwAvbaa6/uz6effrr+f8wxx+Dmm2/GokWLMG/evO7vp06dqpXgp512Gq688kpMmDABN954I/bbbz+Uy4477oiFCxdi8uTJa/y+tbV1ja3JiYiIRkLsHooYu4mIqJIxdpe/3M2KcSIi2mCGafS9n1Kz/4857bnnnusMdlI5vqZ5Xn75ZQwUaZWeyWTW+r20ZL/pppsGbP1ERERDOXYPRYzdRERUyRi7y1/uZsU4ERHRejjkkEPW+X19fb22aCciIqKhgbGbiIioshwywOXu4fFMHBERDYm+zvo6DFf/+c9/UCgUBjsZREREH4mxu4Sxm4iIKgVjd/lj9/CtnSAioo2GAbpk//3315eAEhERDXUbI3Zfc801mDJlCuLxOHbZZRc899xz6+wWzTCMXoPMN9AYu4mIqFKw3F3+2M2uVIiIaIMZhtn3fkqN4XtPli/bJCKiSjHQsfvOO+/Ul2Vfd911Wil+xRVX6EuwZ86ciaampjXOU1NTo9//d70D37c5YzcREVUKlrvLH7v7VDEuGZr+Ouuss9DQ0LA+aSIiogpjWBZMy+rztDTwGLuJiGgwY/dll12GE044Accee6x+lgryBx54AL/73e9wxhlnrHk9hoHm5uYRu+MYu4mIaF1Y7i6/PlWMy939XXfdFa7r9mmhTz75JE455RRWjBMRjRD9ecx6OPcxfv3112PMmDEYChi7iYhosGJ3sVjEiy++iDPPPLN7nGma2GefffD000+vdb50Oo3JkycjDEPssMMOuPDCC7HNNttgIDF2ExFRpWC5u/yxu89dqdx7771rfeRtVdXV1RuSJiIiqjAM0CVf+cpX0N7ejvvuuw9bbLEFttpqq0HdL4zdRERUztgtMa6nWCymw6qWL1+OIAhWK7TK53feeWeN65C4Ka3Jt912W7S1teHSSy/FbrvthjfffBMTJkwYsB3J2E1ERJWC5e7yx+4+5YRuuukm1NbWVuRddyIiGnjSR2l/huHk8MMPx9VXX61/53I57LTTTjpOCvZ33333oKWLsZuIiModuydOnKjlwq7hoosuKttGlieUjz76aGy33XbYY489cM8992D06NFatiw3xm4iIqpELHdfXfZyd59qJ4455pg1tgRYV819KpVa70QREVFlGclvx37iiSfwqU99qruFtrwIpLW1Fb/61a9wwQUXDFq6GLuJiKjcsXv+/Pnamrtr6NlVSk+jRo2CZVlYsmRJr/Hyua99iDuOg+233x7vv/9+2XckYzcREVUilrs/VfZy9wbVTkgfcNJ0vedAREQjj2EafQ/SpoHhRCoGul42/eCDD+KLX/wikskkDjzwQLz33nsYahi7iYhofWN3TU1Nr2Ftjafk3VQ77rgjHnnkke5x0m+4fJaW4X0hXbG8/vrrGDt2bNl3GGM3ERFVIpa7G8pe7u53xfjs2bN1pdIiXB6fq6+v16Gurk7/JyKikWckP9Ilj5XLi8QymYwG6H333VfHt7S0IB6PYyhg7CYioo0du08//XTccMMN+P3vf4+3334bJ598ssbKY489Vr+XblN6tjg///zz8dBDD+GDDz7ASy+9hK9+9auYO3cuvv71r5d95zF2ExFRJWK5++myl7v7/PLNLpJBkebq8mIU6UfcMIZXyz8iIuo/w7R06Ou0w8l3vvMdHHXUUaiqqsLkyZOx5557dj+mPX36dAwFjN1ERLSxY/cRRxyBZcuW4Sc/+QkWL16sfYdLQbbrXVTz5s2D2aPCXQq2J5xwgk4rDa6kxflTTz2Frbfeuuw7j7GbiIgq0cYod19zzTW45JJLNB7PmDEDV111FXbeeec1Tis3wG+55Ra88cYb+lli94UXXrjW6Ydi7O53xfirr76KF198Ud/6SUREpCTo9jXwDrOK8f/93//FLrvsogX8z3zmM92F/GnTpg1qH+M9MXYTEdFgxO5TTjlFhzV5/PHHe32+/PLLddgYGLuJiKgiDXDsvvPOO/WJr+uuu07LuFdccQX2228/zJw5E01NTWuM5UceeSR22203bbV98cUXa0vuN998E+PHj0clxO5+V4x//OMf15eusGKciIi6SVDq62PWw6wrla474zL0JN2ODRWM3UREtBrGbsZuIiKqLAMcuy+77DJ9equr2zOpIH/ggQe015Azzjhjtelvu+22Xp9vvPFG3H333fpOEekyrRLK3f2uGJcfedJJJ2HBggX42Mc+pm8L72nbbbfdoAQREVHlMSxLh75OSxsXYzcREa2KsXtoY+wmIqKNGbuLxaL2ENLz/R/SKnufffbRd2r1RTabhed5aOh8SWYl6HfFuPQTN2vWrO67B0L6GZd+x+V/eXs4ERGNMCO4K5VKwNhNRESrYewe0hi7iYioHLG7vb291+hYLKbDqpYvX651ul3vAukin995550+rfKHP/whxo0bp5Xpw7Zi/LjjjsP222+PP/7xj3z5JhER9XikyxqxXakMdYzdRES0GsbuIY2xm4iIyhG7J06c2Gv0Oeecg3PPPbfsG/fnP/857rjjDu13XPobH7YV43PnzsX999+PTTfddGBSREREFccwTR36Oi1tXIzdRES0KsbuoY2xm4iIyhG75T2RNTU13ePX1FpcjBo1CpZlYcmSJehJPjc3N2NdLr30Uq0Y/+c//1lxXWz3u2L805/+NF599VVWjBMR0X8Z/XikS6YdZvL5PF577TUsXboUYRj2+u7zn/88BhtjNxERrYaxm7GbiIiGfeyWSvGeFeNr47quvthSXpx58MEH6zgp28rnU045Za3z/eIXv8DPfvYz/OMf/8BOO+2ESit397ti/KCDDsJpp52G119/HdOnT1/t5Zv9ScgTTzyBSy65RDt3X7RoEe69997ujS+k33Jp4n/DDTegtbUVn/jEJ3Dttddis80262+yiYhoII3gfkoffPBBfeO29Mm2qqHy7g3GbiIiWg1jN2N3J5a7iYgqxADH7tNPPx3HHHOMVnDvvPPOuOKKK5DJZLrfMynl3vHjx+Oiiy7SzxdffDF+8pOf4Pbbb8eUKVOwePFiHV9VVaVDJZS7+10xftJJJ+n/559//gYnRDbujBkztP+0Qw89dI13HX71q1/h97//PaZOnYqzzz4b++23H956662K6q+GiGi4G8mPY5966qk47LDDNEOw6otKhgrGbiIiWhVjN2N3F5a7iYgqw0DH7iOOOEJf/ixlW6nk3m677bRCuqucO2/ePJg9liuNl4vFIr70pS8NeD/mA1Xu7nfF+KpN1TfE/vvvr8OayF1ruTNx1lln4Qtf+IKOu+WWW/TH33ffffjyl79ctnQQEdEGGsGtzqTPNbmzPlQrxQVjNxERrYaxm7Gb5W4iosqyEWL3KaecstauU+TFmj3NmTMHlV7uHrLN9mbPnq13J/bZZ5/ucbW1tdhll13w9NNPD2raiIhoLW/H7tMwZEPPepG746tmEEYqxm4iogrC2D3Ye2BIYOwmIqogjN0otz61GJfuTE488cQ+d19y3XXX4aijjkJ1dfV6J6yrX5pV7wTI567v1qRQKOjQpb29fb3TQEREfWNYlg59nXZ9XHPNNfpeCokB0g3XVVddpf2ercnNN9/c3Q9az7dvy8s6yu3qq6/WR7r+/e9/r/HdG9/61rcwGBi7iYhosGP3UMXY/V8sdxMRVQ7G7sPKXu7uU8W4vGzzyCOP7HPF+A9+8APsu+++G1Qxvr6kA/jzzjtvo6+XiGhE0zvXfWwJvh4txu+88059bEpuvMqTQ9LVlrxzYubMmWhqalrjPPLmbfm+53swBsIf//hHPPTQQxojpeV4z/XI34NVMc7YTUREgxm7hzLG7g3HcjcR0SBg7Ea5y919qhiX/r733ntv2HbfuiTP5XLYUM3Nzd19yIwdO7Z7vHyWzt/X5swzz9TKk54txidOnLjB6SEiosHr6+yyyy7DCSec0N0KXCrIH3jgAfzud7/DGWecscZ5JDh2xZKB9OMf/1hvyEo6er6IZLAxdhMR0TqN4D7GGbv/i+VuIqIKwtiNcpe7+1TTLW8T7Q95WWZDQwM2xNSpUzVIP/LII90V4VLJ/eyzz+Lkk09e63zyqLwMRES08RimpUNfp+0Pecv1iy++qDc+u0gglHdQrOudE+l0GpMnT9YXT+6www648MILsc022/Rr3X1Nn7y9eyhVigvGbiIiGqzYPdQxdv8Xy91ERJWDsfuIspe7B6RivK+k0uL999/v9eKPV155RSvVJ02ahO985zu44IILsNlmm2nAPvvsszFu3DgcfPDBA5IeIiJaT0Y/HseWadfwDoi13dhcvnw5giBY4zsn3nnnnTWuYostttDW5Ntuuy3a2tpw6aWXYrfddsObb76JCRMmoJyOOeYY7erlRz/6EYYSxm4iIip37B4uGLtZ7iYiqkiM3Sh3ubtvfaMMkBdeeAF77bVX9+euLlAkoyIvTpO+yjOZjL74s7W1FZ/85Cfx4IMP9rmvcyIiGrp3rlft5koqcs8999yypGfXXXfVoYtUim+11Va4/vrr8dOf/hTlJJX2v/jFL/CPf/xDK+JXfQmIdAMznDB2ExENDyO51RljN8vdRESViLH7F2Uvdw9qxfiee+6pfaCujfQPe/755+tARERD/SUgfe2ntNTqbP78+fqCzC5r6wZr1KhRsCxL3zHRk3zuax/iEjS33377Xk8plcvrr7+uyxZvvPFGr+8G6oWfg4mxm4ho5Mbu4YKxuzeWu4mIKgRjN8pd7h7UinEiIhq5b8eWSvGeFeNr47oudtxxR33nRFdXWtJvuHw+5ZRT+twyTArBBxxwAMrtscceK/syiYiIhmLsHi4Yu4mIqCIxdpcdK8aJiGiDGZalQ1+n7S/paku62dppp52w884744orrtCuto499lj9/uijj8b48eNx0UUX6Wd50uh//ud/sOmmm2pXXJdccgnmzp2Lr3/96/1eNxER0XA00LGbiIiIyouxu/zMDXmT98yZM+H7fnlTRERElUcexe7P0E9HHHGEvkDzJz/5Cbbbbjt9UbO8c6LrhZzz5s3DokWLuqdvaWnBCSecoP2KSytxedHnU089ha233rosP/fQQw9d7eWh63LUUUdh6dKlGGyM3UREtLFi91DD2E1ERBWPsbvs5e5+V4xns1kcf/zxSCaT2GabbbQyQpx66qn4+c9/3t/FERER9Yl0myKtvguFAp599lnssssu3d89/vjj+tLmLpdffnn3tIsXL8YDDzzQ3Q94Ofzf//0fli1bppXjHzW0tbXhL3/5C9Lp9KDtacZuIiIa6Ri7iYiIKsv/bYRyd78rxs8880y8+uqrWgkRj8e7x++zzz648847+7s4IiIaDkbYnWt5cfTmm2+O+vr6jxwaGhq025fBxNhNRESrYexm7CYiosrC2I1yl7v73cf4fffdpxXg0ndrz7d+SuvxWbNm9TsBRERU+QzT1KGv047El3ZJH+iDhbGbiIhWxdj90Ri7iYhoKGHsLn/s7nfFuDRhb2pqWm281Mr3rCgnIqIRxOhHS3CZtsLtscceqCSM3UREtBrG7iGNsZuIiFbD2F12/W62t9NOO2lfrV26KsNvvPFG7LrrruVNHRERVQaJBYbZx4E3UTc2xm4iIloNY/eQxthNRESrYewuu363GL/wwgux//7746233oLv+7jyyiv176eeegr/+te/yp9CIiIa+roqvfs6LW1UjN1ERLQaxu4hjbGbiIhWw9hddv2unfjkJz+JV155RSvFp0+fjoceeki7Vnn66aex4447lj+FREQ05EWG2a+BNi7GbiIiWhVj99DG2E1ERKti7B4CLcbFJptsghtuuKH8qSEiosrEO9dDHmM3ERH1wtg95DF2ExFRL4zdZdfvZnvt7e1rHDo6OlAsFsufQiIiqpC+zvoxDCPnnHMO5s6di6GMsZuIiFbD2D2kDwrGbiIiWg1jNwa9Yryurg719fWrDTI+kUhg8uTJWkkQhmHZE0tEREOUafZvGEb+7//+T1t07b333rj99ttRKBQw1DB2ExHRahi7GbuJiKiyMHaj3OXuftdO3HzzzRg3bhx+9KMf4b777tNB/h4/fjyuvfZanHjiifjVr36Fn//852VJIBERDX0jua8zee/G888/j2222Qbf/va30dzcjJNPPlnHDRWM3UREtCrGbsZuIiKqLIzdz5e93G1EURT1Zwapmf/GN76Bww8/vNf4u+66C9dffz0eeeQR3HrrrfjZz36Gd955B0PhEbTa2lqsfP7vqEnGYdgOYMdKFTOZFp0mCgL930zVICrmgTBAmOmAEU+Wvi/mYSZSCDpaYZgWzNpGBMsWwP3Ulwf1txHRyPXUnBVwTBOOZSDlWMj5IWK2AauzmxLHNGCbBtoKASwTqI1ZOn55SxumTx2PtrY21NTUlO0au+Lt51BTXdW3eTrSaNxq57KlYSjxPA9/+ctfcNNNN+Ef//gHttxySxx//PH42te+pttpsFRq7F7x1jNIjd8MRlBEZLkInCTMKIAReDBCX2N56CZhennkzRiSmSUI4zUwC+nuGzCRm+zRH5+BWNXg7QciGrn8hTP1OhY5Mb0eGV4eYaIOMC0YuTbkEo1wLUMKZzD8AopWDG5YRHvowMt2YPzYZsbuAcLYXd7YvWDRYjSmYojsmMZvPd4LHYjsOIp2Am7ko2jYCMIICXilfWC6iKWXwKtuhp1vRRivRcaPkC6GGGtl4dY1lSmVREQfrSObQ3UyoX8XMh3wDBs2QuRDA0EEpKyoVBaxXPgRIJWqcm1D4CFyEogMAx1tbRjTzNhdCbG73832nnrqKWy//farjZdxTz/9dPcbtOfNm9ffRRMRUaW/BKSvwzAl95olSMs7N+Rv6Wrs6quvxsSJE3HnnXcOWroYu4mIaDWM3Yqxm4iIKgZjd9ljd79rJ2Qlv/3tb1cbL+PkO7FixQpNFBERjRAjPEC/+OKLOOWUUzB27FicdtpperP47bffxr/+9S+899572hL7W9/61qClj7GbiIhWw9jN2E1ERJWFsRvlLnfb/d0Hl156KQ477DD8/e9/x8c//nEd98ILL+ij13/+85/1s/TvcsQRR/R30UREVKHkcbG+9h0u0w4n06dP1xi477776k3igw46CJZV6rqmy5FHHqn9oA0Wxm4iIloVYzdjNxERVRbG7nfKXu7ud8X45z//ea0AkD5J3333XR23//7760s4p0yZop+l83MiIhpB+tMSfJi1GJd+u4877jh9CfXajBo1CmEYYrAwdhMR0WoYuxm7iYiosjB2o9zl7n5XjIupU6fi5z//+frMSkREw5G0Au9rS/Bh1mK8q0+zVeVyOVxyySX4yU9+gqGAsZuIiHph7F7tgGDsJiKiIY2xG+WO3etVMd7a2ornnnsOS5cuXa0m/uijj16vhBARUQUbwXeuzzvvPJx00klIJpO9xmezWf1uqFSMM3YTEVEvjN2M3UREVFkYu1Hucne/K8b/8pe/4KijjkI6nUZNTQ2MHi3/5G9WjBMRjTzSv3jf+xg3h12L8Z6xsMurr76KhoYGDAWM3UREtCrGbsZuIiKqLIzdRtnL3f2uGP/ud7+rfaleeOGFq9XSExHRCCWV3ebIajEu3adIhbgMm2++ea/K8SAI9AaytCQfChi7iYhoNYzdjN1ERFRZGLtR7nJ3vyvGFyxYgG9961uVVykeBjDiVYBfKA1OAkY8haiYh2zSyPN0MsN2EGbyMNw4EIYIs+2wahsB0wJ8D5FssTCAv3A2zFcfQphuhRlPwV+2AM6kzRF2tPZabdC2AvCL8JYvgV3XAHvsFPgLZiHIdOj3hZYOpKZNQ2HRAjhVKfjZHIJ8EYZlIrNoBULPh+nYiDfWIFZfjbDoo9iRgR2PISh6iMIQyfFjkfzi9wZlsxINB0fc/Bxc28SHy7P6uaEmpv8HYYSka2FJax4fm1inn2U6+T9d8FGbcGCbho5b2lHAhPoEquK2fp8rBjpepjENA0nHwspcEem8r+Mn15euoSuyRTSlXFS5NsIogmOZiFkm0kVf55tQE4cXhsh6gU4j6wuiSJcnXMvUbsYsw9BBvkvYJqII8CW9lgHHNFDwI1gGkJB/BsIIfKTriiuu0NbicrNYHt2qra3t/s51XX0h9a677oqhoFJjd+QkNP4a2QyQsGHnW3Wc4WUB04YR+jCLpWMqHuQQuUkYxSwQhYAT1/hrty1AkGrszETa8JbNg5lZiTBValVgFDqAZfMRTtkOhl/UeQtVY5CY9wIQr0YUS+l0QXUTlhUtNIWtCGV5UQi7bSHCRC3CWDXslnkI3RTcURPgLZ5Vmq/zvLCXzERQOw7Biw8ifsDJyD/0W0TZdiQOPm2QtzBR5QrffwbemC1htS3QcxhNk/WaIPn3oHo07NaFpTy/XEtiVXp9iEwbkRODlVmBIFEPs5jR7+X8FM7itxEm6xHGUrA6lsGvnwjDz8NaOgvBmM1gt3yo3+k1xjBh5toQVI/RaeT6Edlu6Xqwcq4u08y26DUsjFXp9UfnkzTI9cvL6/d+7VjYUQjTAEy/gMhy9XcEhiuPJMExgUwQDcxGZOxm7B4AlmnACCQ4AznDRSLyEDlJPa4lHws/hC35U4RAECGyHLheRs8fydPKORQZBvJ+qHnjIF6DQkerLrPoVpemNUy0I47aKKsxNqwapfE4clMw08v1PBfFeD2WZn2Mj4doDx2MrkliQUsGVa6JrBci6ZiaX26sTmLuijSKQYTmKhsrcwHGJC3kgwjJYisiO46inUB1MjEQm4xoRFnaltHrRHWYRRCrQms+QHXnOVkXdmBRWIWGhAXXzyGU2B2hVE4OCgjsOKzQK8Vzw9DvvDBCotiGDrsGVZBYHEM8kdA8fyE1GhJB3bCIoulqOV0qVXVdcQtmUKoHlPicN1zEoyICK6bXqlw+r9cE13JQFY8jm8vDMiPEESI0LFjwNQ1SvDY0kSGMKEQUhUh7hl4/BgRjN8pd7u53xfh+++2HF154AdOmTVvvlRIR0TAzAgP0Mccc0/1Sy9122w2O42CoYuwmIqLVMHYzdhMRUWVh7Ea5y939rhg/8MAD8f3vfx9vvfUWpk+fvlqCPv/5z5czfUREVAlGWIBub2/X92yI7bffXt+ELcOadE03mBi7iYhoNYzdjN1ERFRZGLtR7nJ3vyvGTzjhBP3//PPPX+07eSRB+nchIqKRRR9l6/PLNweoO5eN3L/4okWL0NTUhLq6ujW+fLPrpZxDIS4ydhMR0aoYuxm7iYiosjB2G2Uvd/e7YjwMQ2ws8qPOPfdc/OEPf8DixYsxbtw4fO1rX8NZZ521xkoIIiIaJCPszvWjjz7a/eZr+XuoxyTGbiIiWg1j95A+KBi7iYhoNYzdKLd+V4xvTBdffDGuvfZa/P73v8c222yjfZsfe+yx2tG6vESMiIiGCKkY7mvl8HpWIl9zzTW45JJL9EbpjBkzcNVVV2HnnXde6/R/+tOfcPbZZ2POnDnYbLPNNKYccMABKIc99tij++8999yzLMscLhi7iYgqBGM3dWLsJiKqEIzdQ6NiPJPJ4F//+hfmzZuHYrH0xuku5aywfuqpp/CFL3xB+0YV8qbRP/7xj3juuefKtg4iIhr6d67vvPNOnH766bjuuuuwyy674IorrtAXSs6cOVO7M1lT/DjyyCNx0UUX4XOf+xxuv/12HHzwwXjppZfwsY99DOV00003oaqqCocddthqFfPZbLb7JZ2DjbGbiIh6Yexm7O7EcjcRUYVg7Ea5y939rp14+eWXsemmm2qFwymnnIILLrgA3/nOd/CjH/1IKyrKabfddsMjjzyCd999Vz+/+uqrePLJJ7H//vuvdZ5CoaAvRes5EBHRwJL+xfsz9Ndll12m/WTLU0Nbb721VpAnk0n87ne/W+P0V155JT772c/qy6K32mor/PSnP8UOO+yAq6++GuUmle+jRo1abbxU2F944YUYChi7iYhoVYzdjN1dWO4mIqoMjN2jyl7u7nftxGmnnYaDDjoILS0tSCQSeOaZZzB37lzsuOOOuPTSS1FOZ5xxBr785S9jyy23hOM42H777bUS/qijjlpnBYV0tdI1TJw4saxpIiKiddy57usArHYTU25srok8mfTiiy9in3326R5nmqZ+fvrpp9c4j4zvOb2QFuZrm35DyNNTU6dOXW385MmT9buhgLGbiIhWw9i92iZh7Ga5m4hoSGPsRrljd7+7UnnllVdw/fXXa6WEZVlakTFt2jT84he/0Gbrhx56KMrlrrvuwm233aaPwEsf47JuqRiXl3CurYn8mWeeqY/bd5HKFqkcN2wHUT4NJGpgBEXAdhC2LoUxajyCOW/CrCm9RC0q5qXGBfA9hMU8DNtFVMjDSNUg7GiBWdsImJbOb1iWfhfZbmn58ncYIOxohZmqhlXbiDDTjuys9+DWVeny/SXzEQUBwqIPwzIR5CUtLmqPvwAdt5yr03TMW4KaqWP1ezeRhCHpAeC1Z+HnC0g01et8pmWhmM3DcFwsu/w0eJk82ucsglud1L8TjbWI1Veh9f0FcGtSyK9oQ9X40eiYtxRW3NG/ozBErK4Ko0+7HLO/9/8Qeh5aP1iBHf/yMF49fH/MuOvvePngfVEzuQHxhlqMP+f6su1fonXZ45ePo31lDm7MRntLDo3N1fC9AF7Bh5twYFml8yIIQsQSNjLtBR1XVRdHy5I0nJgNyzax2aQ6zFrQBtux9HM+4+k8pmmgWPCx2dR6LG3NY2xDQseFYYSiHyJXDODaJpKuhVE1MRSDEOm8h6q4gyCMdN22acAPIyRMQ8d1DTK/kP9XZooYUx1DGJXGy/dVMRs5L0BNzEaVa8M0DHhhhLhtwuzsflvGyWdhmQaSjlX6vVEExzRgGQYyxQBx+79djcm8UWQgXQyRckwd51oGikEpva5jdv89MG/H7lvf4V3TrXrj8pxzztEXLq9q+fLl+jLmMWPG9Bovn9955501rkP6IV/T9DK+3OQO9WuvvabdffUkTzk1NjZiKKjY2B0GKJouYnYM8PKI4tUwc21AGCCK2UAUwvDzOk/kJEsZRctG5MR1eiP0NZ6bhQyCVCMiOwandYHOF8ZrYC//AJETK81vx/V/o5iD4+dKCUmvQFg1CoZfgBF4CCKJ/y7MXAtg2ro8M9uiaZL5oqrRKKTbYBomrPQyXafhFRA5CU2L5CEyf7wA9phJMGoaUfjnTbDqmzRPgTCEEYvDm/eujrPqR2uewZqyDYqvPgFnuz0RLXhP8xnurl9E4fHbdDsYiZQmNfv6i4g1N8PddncUnv07nD0Oh9O8CdK3nY+qo35Stv1LtC7+wpmI5r8Nc0zpeijnZ1DTDKdpCnL5PKx8O6yWDxEmamEseg9o3qQ0zby3YSZrYNaOKn1XyCByE6U8exDoNP6SebAmbIFw8WyY4zZBlGnX88xoX4ZI8spRKfbK/HItkP/tsZsheOtxwAkQOgmYXg5R6JSuC16udN46MRiFDp03WLkYph1DVNMMtC3W9cs5DL9Yum60LQeaa0vriaVg+EVElqPpC5P1MIqZ0oawnFJ5QdKRrO9+UspKL0dgx2CgiMhNwsh36DaRtOa8EK4RAGYIBEXEYlWAb2geYKAwdjN2D0TslryxnlupBBIItC2e4ecQxGsQRdDjHlUxmMUMsnYVil6EGjk/5RwppPVcNWRCAFWuBTPwkDdjSKWXwTFLGV8556oTCaT9JGqSdaXzPwrhGTY0qocholgVCkGEpqSNyACKXoiObE7z9JJflrx3FEVoyQcoBhnNPycdA9XJBJZlOxBPJBDm8noeG8UsbDeJeSvTGBOLEJgO8n6I2tZZsCZOR7FtOXJ2SpcXs020FQKMSs/TNEn+QuLxotYMLANobHkP/qipiEwb7uK3sbRxKzTmFmt+I7BKeRITEbJ+hIbq5ICd/0Rdiss/hDtqAoorF6IYr4cUFxN+BgUnBYlAUn6szi2VgmYptkm+MzkaK3I+xqVsjZUL8yakCDwpBbT4JqocOQ9CjHJDZEILtSvfQ3b05lp+lrgm/wdOlZ7rcr4kHRNpL0RdafG6zlgxi6KVQMwIkfENuJGv5wYCT/PhppdHGq6mUc41Ob/kXC1aMZgSr504WvMBRiUszTNbltHdo6eUyfU6I2UKy0EBtl67pC5Qrg1CytExqRoMI7RlcogHOeSNOBypU/BDpExTN4nlS51gDJ7pwgkD5EMD1XaESBI0ABi7Xyt7ubvfFePSclsK1l2VAVIrL4+pS+vs+fPno5zkEfiuVuNi+vTp2jpdWoWvLUDHYjEdiIho45FMQWcZpk/TCokZNTU13eMr9dotXYvJ+zWqq6ux++676zh5D8e3v/3t7vg12Bi7iYhoVYzdjN1dWO4mIqoMjN3fKnu5u98V49KdyfPPP4/NNtsMe+yxB37yk59oa75bb7217C80k87Tuyrhu0hLtzAstQghIqKhQVrEy9DXaYVUivesGF8b6b9brv1LlizpNV4+Nzc3r3EeGd+f6TeE9F8+Z84c7L333rDtUliVOHX00UcPmT7GGbuJiGhVjN2M3V1Y7iYiqgyM3XPKXu7udx/jsrKxY8fq3z/72c9QX1+Pk08+GcuWLdPHtMtJ+jKXdTzwwANa6XDvvffqC9gOOeSQsq6HiIiGLtd19T0W8jLmLhIA5fOuu+66xnlkfM/pxcMPP7zW6Tc0fXfeead26yKPId9zzz2YNWuWvhhUvhsKGLuJiGhjYuzecIzdRES0MbkjtNzd7xbjO+20U/ff0pXKgw8+iIFy1VVX4eyzz8b//u//YunSpdrH2Te+8Q1tpU5EREOHtAHva+/l69PLufRhKV1oSQzaeeedccUVVyCTyeDYY4/V7+Uu8fjx47WrLSGPU8lTTb/85S9x4IEH4o477sALL7yA3/zmNxgom2++uT5NJYw+9re+sTB2ExHRqhi7Gbu7sNxNRFQZGLtR9nJ3v1uMr81LL72Ez33ucygn6TdGKj+kX/FcLqd3Ai644IIh0wKPiIhK5B0l/Rn664gjjsCll16qN0a32247fSmU3JjtesGmvO9i0aJF3dPvtttu+gIpqQifMWMG/vznP+O+++4re5dfXW655RZ9D0YikdBh22231S7GhjrGbiKikYuxm7G7C8vdRESVgbH7lrKXu/vVYvwf//iHNomXiumvf/3rmDZtmjZhlxdk/uUvf8F+++23QYkhIqLKFEWRDn2ddn2ccsopOqzJ448/vtq4ww47TIeBJl18ydNNkrZPfOITOu7JJ5/ESSedpO/gOO200zCYGLuJiGhNGLsZu4mIqLIwdp9d9nJ3nyvGf/vb3+KEE05AQ0MDWlpacOONN2plwKmnnqot+d544w1stdVW65UIIiKqbP1pCb4+LcaHMnn8+Nprr9XuXLp8/vOfxzbbbINzzz13UCvGGbuJiGhtGLsZu4mIqLIwdl9b9nJ3n7tSufLKK3HxxRdrLfxdd92l///617/G66+/juuuu46V4kREI1zUx2G4kS5cpOuWVcm4nt27DAbGbiIiWhfG7t4Yu4mIaKhj7C5v7O5zxbj07931SPqhhx4K27ZxySWXYMKECeu9ciIiGh4Guq+zoWzTTTfVG8arkjdmd70UZLAwdhMR0dowdjN2ExFRZWHsvqvs5e4+d6UiL79MJpPdb/2MxWIYO3YsKoblwoglgSgEjM77AWEAo5hD5BURFfOIYglEQQDDshD5HqzqOkSFfPe0sF0Ytoso067TwCxNF/lFmNX1ugxhmKZ+J4PhuAg8D342D7e6Ht6yJbCrqmC6NsKij8DzdZ7W3/wIplPaHcmxDSi2ZxDki4jVVem8TiqBYkcG6QXL9W+ZVpYbq6uG37oSfr6I3LIWJEfX6zLDzuUGRR+x+mr9OwoiREGIRFMdCq0dOk6WX2zPYt6ZxyK9YAXc6jjshI35Zx0PyzHx8sH7opgprUfSI9OtfHchLNeC5VhY+tZyjJk+GlvddD/eOvogtH3YrusZvXVTabPHXUy7/Ha8fuQB+jlel0TL7JVwUw7i9Qn4OQ+LX1mKmonVqJ1Up+le/s4KuFUudnn4sY16iNCanfznV1Eds/H2onZ8fGoD3lnUjoZUDAduMwbPzG3B87I/bRPTRldhZaaIoh9gdHUc7y3pQEdHQU85J2aV+sIKI/heiDCMEPohTLt0LvpeAL8YwLJN2I6l08l3pmnAdi0dZ7umLqdretvp+t6GVwh0Hidp6XdOzNZ5LNtArujrcmX9gR/CK5TOjXzBR1VdHJZpIJcuItFcDds20d6aRyIuy/SRcGNIuDbSeU+HqriDuoSDpR0FXW5W1mEaOlTFbN0O6bzMZ6Et66E26SAII3x958m49aUPu6fNeQGq3NL5HrNNFIIQcduEF4Q63gtD/c40DGTl91ilNy27lgEvjJAphnBtA3HHRBBKcIxgmYBMpf8bBoIoghEBQST9kJX2paTFW8/+vYdCX2dD1Xnnnaddij3xxBPdfZ395z//wSOPPLLGCvONqeJjd+hr5s/wC4DlAH5B/w5qmmF4OcC0YXh5BFWjYRY6YGZbEMarEZk2EKuC2bEEYdUoGMUMQjcJu2MpIicOo5CBEfqaHzAkjkvcFoGv+QSjmC3lEZK1Op2Za4OfaoRtGpqmKFYNBB6MwAMWva/x3tr+syjm8zCL2dI624qax7CyLYgk7VEIs6oOqSPPQvHfd2jew95khi4/jKU0HUZQhGE7MJsm6XpgO0AQaFrMgvyGOMK2FVjyi1NRt9PHEWY74NQ3Icxn4NbXwWpsRrF5S5jVTwNzX4c393U4Y6fAf/EBePPfhdU4Flb9aER1zbo84S+dr/kae8Km8D54Q3+LmaqB+6kvo/j03bo+Wb8zZStYW++J4K3HEXa0IsxlAL+IMN2q+SN79HiEmXZNgz1j38E9bkj5C95GmKiF4RX0fzk/nOZN4C96r3RMSn44DBDFUnq8yfd6ToS+niOyP+VYiCwXyLXrsRklanTZusx4delc8nIIq5tg5Dtgejl4HS3AtB1gyfnme7qO8N3/wBz3MfixGlhyXMvpnc/AMEw9FuXc0Px3tg2RLEuWW8ggknWEWT3mdJ7FszXfHTpJQPPuKZi5DMzaRkReQT/LNcLMrERQPwHB7JdKvyNRA0MyJDKYZuf1w5ILo15HIicJu3U+Ijdeml+2RaYFqBun56X+5sCHKWUDOcfl+iLnkNm5vWTdlovISQCWjchN6DRy7THzbXpNKl1zDP1fr1nFjKYpkvl9oMa1EUs2IJ/N6DXGlOueYaIYRJpHGAiM3YzdA8GRUBmvKZWfJabKMS5xVcYJ00TBDxGPyfktx34pnyvnnV83QefJ+nLcG5p3lXhr2TYiO6bnROAmYeVaYbUvRipRi8iOa5xGsh6uV4ptQtbrOjGkvVBbA0reuDqZQFs+rflxxzQQNyX/Co3vkodOOSaembsSY6tcLG7LoM6BLluuoZJmyzDgGRbszmcgI8PEvJVpjG+bh+f9idi+OYXFaU+/letCIPkBv4Bi61LErCokbQNhqkGvQcuiKozzC2jNB2iU67Fhwi6msSxMoDZmah5eFNJtOr3kd8JkveY9ZFuY6eV4pVCH6aPjsDqWIJsag+pFr8Ibs6Vet9JWFarzyxGkGuHDRCyzDJHtotWsRn1uMQo14xBvnQd73BYI5rwCa8p2A3I8UP8Ul3+ocUSOBz3mwwCxmgY9Hs3OsqMcu056qZ4rrfEmPTZlvBzjNVJ2LrTr/k+ZgZ4/K8MYGswC0kZcy5JyXGcDQ8uWwnGTKLSvhGG5em5I5lvWLaefrCuSI1ryxVGIQI5fv6DrdE1Dz9WkZSPlAG0FyUNn4Ng1cCIfKcfSzzlUozpRi/ZCiIZEqTwvq856oZ571a6FhNeBWomb+SISrqHlWrlWxEzA6lgGNzUGRjYLw3JK+f2Uqcd5YJTyFBLL45aBMFEPCwYCidPFrGajNa/tJrUOIudHcEwg4ZgIYcBw4pqOpGNovO2+3sgivTzScHU7JGxDY7xfDNHhATk/hBO3YUQRktV1yOdysI3SumRHSX7IH6AiL2P3EWUvd/fr5ZvSr3hVVZX+7fs+br75ZowaNarXNN/61rfWOzFERFSZpCo/7Me0w8kXv/hFPPvss7j88stx33336Th558Zzzz2H7bfffrCTx9hNRERrxNjN2E1ERJWFsfvZspe7+1wxPmnSJNxwww3dn5ubm3Hrrbf2mkZao7FinIho5JHWNn1tCD7MGoyrHXfcEX/4wx8w1DB2ExHR2jB2M3YTEVFlYezesezl7j5XjM+ZM6esKyYiouFjpL0du729vc/T1tR0Pjo8CBi7iYhobRi7146xm4iIhiLG7vLH7n51pUJERLQmI62vs7q6On1K6qN+p/b3Lp3bERERDTGM3WveJozdREQ0VDF2lz92s2KciIg22Ejr6+yxx/hyYCIiqmyM3URERJWFsbv8WDFOREQbTNqA97mP8WGwvffYY4/BTgIREdEGYewmIiKqLIzd5WcOwDKJiGiECaOoX8Nw8+9//xtf/epXsdtuu2HBggU6Tl5Q/eSTTw520oiIiNaIsZuxm4iIKgtj97/LXu5mxTgREZXnznU/huHk7rvvxn777YdEIoGXXnoJhUJBx7e1teHCCy8c7OQRERGtEWM3YzcREVUWxu79yl7uXq+uVGbNmoWbbrpJ/7/yyivR1NSEv//975g0aRK22WYbDElhgMhyYfh5RMU8okStjo68ApwJmyDMdMBwEzDM0r0C+RyFAcxEqvRdGMCqHw3DjQO+B7OqTv82U9WIchmY9SmE+Qwiz9P5DdMqLb+QQ2raNESZdpjxJEzXhhGLw0qk4M2fj3hdtaYtKHpwqpOleVo74OeLsFNxhJ4PL5NH1UQXwbIWWI6t07XPWQQnFe+eLyz6sOIxXb5Tk0SQL8DPF3QZURCielITcktbYMVdxOqrkFvaimJHVpeh68jmkF2eg+VYMC0DEy/4LT789B6oGpNCGEQ6ryxblhWriSGzJINR0yfAf3ExCu0FvHHUgXBSMThxG7mWvKY/CiIsn7kMHYfvr8tsn9+BYtrTeWObNei6vUwRlmvCz/no+LANtZPr0bhZA1o+aMWzn9kLY3aYpOte+V4Llr6/EuOmN+m0o7YeDTvhws8VUezIwzANeBkPtVNHwa1JaTolDbIO+c35Fe2IggBV40fr50JrWre15drILFqB1NhGVE+diPTcBUg01cNKJFFsaYVbXweYJoorVsKwTJiOrd/ZzZMQyn5PpGDEk3pMGbYLw3ZgNI5H5CZgppfD3PwT8D98E0HdBJiZlbAyK+DXTwBMG75bBS+M4IcRgjBCWyFEQ8KCvM4viIBFaQ9eEMG1DbTmfFidt7GyXgjTANLFAF5Q6q25reCj4Ieocm20FTw0xB08O6cFSddCVbx0midcCwnHQrrgo+iHOsh3liwMwOLWPDoKvk4j6RlbF0c6X5oWMej/Mr4hFcPVX9xW53nsveXI5X2gcx0T6hN4ZtYK1CZdnd6yTcRits4X+CHyOQ+2Y8ErePC9AImqmM7nxmz4xQCRvGJZzx8DoR/q/zKfG7NgWSay6SIy7QXUNpbOlXjCQbq90P0SRK8gywCCzu0SBIZu3+qUi9a2vK5bz+8oQrI6pp+Xthf0f9c24fuhpkHSq+vuTE9V3NHtJJ9rkw7eWNCGXDHAZmOq8cGytI6X77u2kWw32ZbNdXEdd+tLH3ZfiuR72cZeGMILTbTnPST1c4SYZerfgIV00dd0xmwTtmmgNe8hbpvIFAM4pom8F6I6ZiEv28cy4QdA3DJ0OdIg2+38O4gimDBgm9Dt5HzECyPX+xIblYa+TjucXHDBBbjuuutw9NFH44477uge/4lPfEK/GyoqMnabNmJGCEhMjUIYXh6RacPsWKpfR3YMRjEDM+8ijFXDzLUBYQgj9IGgqNOH8WoYhgmrkAYCD1gyG6hr6pzfgRGF8BfMgjlpWxiBBzPfgTBhluJ96Os4w8vBzLWipmoMkAfMzApNh17rUzUwnBjCd/+DaOKOujxImrItiOw4IsNE5CZL6Y4l4L/4QCn/UNOAKF4NFDIwvAK85q10ubDfQ9S6FEbtKFgTNtd0OhM3h984BVYhC7tpPMb84CoU/31HKV8Si8MMAxiJFMx4CivyAWo7WuFM2UpjkuRlCu++DKtxrMYte9w0BMl6GL4HWBbCjtbStk7VIf/hfNTsfbB+bP3Nj5Da/n90Gdn3PoA9dioK/7wJsX2Ohffgb3T5Mo/39nM6vUxn1TYiymdR/M9d8BfPQ2ynz8Cf/YamMWxboetyN99OY2cUhohqm2G0LEDkFWHUNiFySjEBS+fCrK5D5CQQtS5BmG7VZXsL58CZtDn8idvBeOXvpfVu/j+w2hcjWLkYZvNUhE4SRlAsHS9RCK9xGtyFr8OXOFyQfVsLq2MZIqdz/0ahzmMW0giqRyNyUxqvRaG6GU5QkIunHgOSjzTz7TCzrXpcyf73Ew16HS4EEWpjFuxCO9rMKr32Nngtpfym5kEdTWcUS3Uepz6M9mWICnkYdU2lYynXhsj3dLtI+oOaZjhL30OQatTjyR81Dc6iNzWNfsMk2CvmlI4h+b2mjWL9ZLit83XZoexjN6XHoP5ey9HzRY97w9TfI+dJ9zHqJAEr0502zdfUjNJzpGv/+isWw25ySueRHdNzRdIp+WQkZX/F9HjWdVi2rhMxE2GqEU7zJjCWfwgz5SJ0q0rnqGmVzheJC+lW2M1T4C+eA2PUFERtS3X98tui5R/quuUYkONCt6efh5GqQWDaCIt5IF4Ns5iD0XXexVIwJC2GCbO6HtHKRXqewnJL60s16DaTc06OCdnHkr83HBdRrgNGoraUp5f0yb6SczbfVrqeeAVNvx5nsm38AsJkXel/KUt0ntNS5pB1yLmPruPMy5YubcWMjpf9BC8Pw8+i4FTDbFsOMwq7j7UwVgUYpTzCQGDsZuweEFGIop2AgxD50EDcjmBIvI4irMgFaLJcFIMICXgohg4sw9CKHsswS9fuUMo9LtLFEI4JvT4XjTjiBbnW1MMsZoHAh1lM6zVQr0VyrZJ5i1m9nsq5L59jXgbLvRiqXMlfR8jl86hyJWfceQ4YFtoLHmpjpqZDLOooYEpdTFsQSvqr9DwvIh6LsMQLMMr2sLhoa147ilUjYcs1NIbdGwysDCNd1+KMV7pOyLVu/pswJm6DIFmFDi9CTbxGr4/JwEBY3YRq10IUxWAUOhAkGzA+Hkc6m9PlF1cuRJhsgJ1eruXIKFZVurZGIZwxU1G/rAORYSCM12BFzkeV1FPk2/UabDmGTifxw0yN0nFGMYdkdS0i1MI2oNeg1nQWVZ3xV7aPlCmlLFrtter07amxqA5lmxdhBD7mG/WYYOewLEqhGISYWPgQufopOn8s3wKrbTFmV22Ghril+1W2j+XnETpxmH5B81Whk9Dps4GBFIpoCR2Myi5EpmaCHhsypBxDjxEpU0s8lH1lBQX9LHFFr88SW1s/RFA7rvManCpNF3r6WcrbEo9jxY7/xkCpE5LYIjEg24IVdj0anFIs0uu19uFs6DI0XsrxbNiQzZkP5MlXIGV4CCUOFrMI3SSsfLumJ23X6LZLOSbsYlrHdVhVSFkRfJhwix16bObslJbn5ZiTbRg3I023iQimbKeOJRrLYBd1n7dlct3Hp2ybmBzeMl1mBcwEUBsvld8LxUi3kayjGEZwLDlOS51Sy+8vFuUFhaXtLsfX0qyPxoQNNyjCrW9GsXWpliNtlH6z7EBZnm26uo2t9DKkIwepmIugEGr5VytpTalniLTv68iMI2YZMLJtSMSqdJ5EXQ2MXAHxRKk8Ld87kY+slIULARoStp4DtlwLnLguN2kbiKK4bvOqwCv9ZsvW31Y6x0vbQ8q3CduAkckjitdovZ3ETTmO5SjLeCHg+HqsyL6RaXUbdpaVZbmWAZ1PvpeLg/wn01h2HK4+7QzN5wWmoeXvtkKg+1iOCTnHZf/I/nRl23fmawYSY/d1ZS9397vF+L/+9S9Mnz4dzz77LO655x6k06UKxldffRXnnHPOeieEiIgqWFTqY7wvw3BrMj5z5kzsvvvuq42vra1Fa2tnpeMgY+wmIqLVMHavtkkYu4mIaEhj7Ea5Y3e/K8bPOOMMrYl/+OGH4bqlVhfi05/+NJ555pn1TggREVWuEFG/huGkubkZ77///mrjpZ+zadOmYShg7CYiolUxdjN2ExFRZWHsfr/s5e5+V4y//vrrOOSQQ1YbL49kL1++fL0TQkRElauvrcW7W40PIyeccAK+/e1v65NU8jjfwoULcdttt+F73/seTj75ZAwFjN1ERLQqxm7GbiIiqiyM3d8ue7m7332M19XVYdGiRZg6dWqv8S+//DLGjx+/3gkhIqLKNZL7OpPW2GEYYu+990Y2m9VuVWKxmAboU089FUMBYzcREa2KsZuxm4iIKgtjd1j2cne/W4x/+ctfxg9/+EMsXrxYa+ilMuA///mPJkQ6QCciopFnJN653mmnnfSlmx0dHfjxj3+MlStX4o033tBuxZYtW4af/vSnGCoYu4mIaFWM3YzdRERUWRi7f1z2cne/K8YvvPBCbLnllpg4caK+eHPrrbfWWvrddtsNZ5111gYlhoiIKtNI7OtsxowZ+MEPfoCxY8fqjeGnnnpKY+LOO++MqqoqDCWM3UREtCrGbsZuIiKqLIzdR5e93N3vinF54eYNN9yAWbNm4a9//Sv+8Ic/4J133sGtt94Ky7I2OEFERFR5RuKd69/+9rf69NQ111yDefPm6SNdm266qVZCL1iwAEMJYzcREa2KsZuxm4iIKgtj97yyl7v7XTHeZdKkSTjggANw+OGHY7PNNtvghBARUeUKo6hfw3CRTCbxta99DY8//jjeffdd7bLk+uuvx5QpU3DggQfinnvuwVDC2E1ERF0Yuxm7iYiosjB2P172cnefXr55+umn93mBl1122XonhoiIKlMQloa+TjscbbLJJrjgggu0j7O7774b3/jGN/Dggw8iCIJBSQ9jNxERrQtjN2M3ERFVFsZulL3c3aeK8ZdffrlPC5OXcQ5ZUQAj9BEV8/rR8PKIbAfwiwgyHTDiSUC+9z0gDBCFAQzTBMxS9zBRIQ8zkSp9rhkFo5jXZRluHJHnldYRhjAsC2ExhGE7Ok+Yz+pXfjYHszoPP5OHXe/ocgyr1GDfX7EYlusg9PxS2iwTQb6IRFMd2mYtQGJ0vX4XBiHsVFzXOfbMa9By7Rlom7MIdiKm05d+ZggnFdd5cstadLwdd1Fsz2Krm+7HwgtOhhV3ddogX4Dp2ih2ZGA6DgzLQHJsA6onNuHVw/eHE7eRXZ5DvD6uaQqLPgLP13Fd8+db8giKIba7+wHMO/NY1EwdizdueQaZJRmkxqTgZTzMePTvePngfTX9ft7X6cUHD72HsTs0Y6+Xn8Vj2++i4zQ9SzuQXZFF/dQ6FFo6EKurgp3oQC6INI2BF8BybU1z2J6Fn/N1vCfLzheR93z9/fkFy5Bf0YbaTcaXdk/n9vWzef3by+T/uw9yRXjt7Sh2ZBFvrEXb+3MRr6tGkMvCSlXBdErbyY7HYMViCDPtuv8j09T9EbQsgzN2Smm/+nkgCgE7hvD9Z2A4CcSqauGll8OcthOMpXMQxUr9IDmmAT+MEHQ2oM15IWrjFnKFEOmiD0eOQRjwQtlmJpZni3qHcGx1DAU/hBdA562PO5jXlkPMNhHkIixOF5DzAh1EVbx0qgdRBMs0sCJdRF3S0XHpvI/apKPpSDgWquM2PmzJIZDXHQM6fdcy5O+ka+HEu16Ba5lorHKR6Fx20Q+71yfzyrSyxfM5D6YcP0GIIAiRqonpNPlsEaZpIPBDFL1A/3ZiNizbhO2YaF/ZeZzJ7ywEyGc9RGGk3/legHjK0XXI58CPEE+6unyv4MMvBgjNEG7CgS3TuBbaTUPXIctJ1sRgWgZc10I2U4TR+eyMzN/cXIW2dBGWZeq2kG0yd0UGjVUxtGaLGFsb198qaREJt3PbhhFc29RtV5dwusfVJ0vnm07rWJrmYhAi6Viojdm6n2W/dZFD0gvkmIgwKunCMgz9W6aX3yLHhCPHe1B6I7V8lu9lXYZhQnZXPohgd1Y+u6aBQhAhYZqIZDoMjP60BB9OLcZXJS3Hb7rpJg3Qtm3jhBNOGLS0DIfYHdkuzGKm9LdpaxyXQa6xQU0z9OT1cjDzHXKxAIIizNBHKNfmYg6RE9dpjKAII9em1+gwn4EZS8EopGGkVyKqaihdu4s52RilIQoR2XFEKxbADAOEuQyiUS5cPwfDK+g0Zr4NkZuC4cQQxlIwCxmYUQCrfRGCmrGAaSNyYqV0yN9W6bqAsZvCyrUhTNSWflO+A1GmHbYT07SaEzeDv3gO0DQZRsdyGG4C4bgtSnElUQPYDvJ/uxb22KkwYnHNs5i1jTBWLNY8TMYLUV/biKBtBcxJW8NK1GDuLX/EJt/dB7nn/4lg+8/AzLUhqBoFyHayHXiL5sDe2kRQLOVn/PoJSGy6JczqevgLZqH+5J9rPJNlhrOeQ9jRCn/hbNibzIA7ZUsU57wDs36M/sZg1qu6DHfax/RZT3vyVjC8HLxcBs6ULWE4LvyGybCWz0b04duwP/55+Atnwsi2IEzW6bxmLK7rCCdPgrF4NsxkDYx4Sn+rmJcBptiu5t2CRC3wwUswU9VA21JEE2cAhTSs9HL4jVOwogCMSdTCCDzdp5JXk98teT7hjdoUduuHCJP1us/MzEqEVaNgppfDLXboNGGsWveVHotyzKVXwIil9JizM8uBWINej61Q1hGDa8h1Xi7oNoqGDdcIYXUs1e+s1oW6fKOY0XyipkXOQzn+JO/pJhDJvpZjIbOydNz0OEflWDTtmB7TpRNDfo+t6etaf5ho0uXLdjecuB5rsF39HcHslwD5LDpWIGzeXI/BrutA6Cb0fIq8IoxqB0GqEdbid0vrTVYjTLdq/sdqHFfKN1suDMlDFkrbJvJL6bLaFuv6C+++AutTk+AtngXTzyOSfSH5JDn23bj+HeUznfnpAqzGsQhiKUTpVpijJpby7qYFq7axlAb5f9QUGH4BRiyJyEnAkO0m56Vf6N5Oks+XfWpkVuhbLeRcMbKtpXz+uK1LaZV9Kenw5NxvRFDbDCvTomlB+1LN42ne3iuUzicnAcSrS9sr5yNyE6XvwzyC6jGwOpaU9oVs32xL6ViTa08UInSSiOR3aR4xKp33kr5CGpGbBLxQ84RGMavXva7rnJltQXWiFmHUub/LjLG7hLG7vOSYlytKuwfU2gEieUhdzrcohCf51SALN5FE3nDhWoDdmXeVc8SHCSeKELMA3zYQswxESGr+1gj8zrxAALMgcb8zVyvXr0DGZfTcCurGlWK/xNqqUbACA1WuiXQx0PJT3Ix0nmIQaZ68KmairRAiZhuQ7LOUZ1ZkA9TFrdL3kidwk7DaF2NUaiyMwkoEqEXOjzSf4XRm4zWfkUigLr8UK60GvfZKOiO51nlZ1Jgelns2gnhcY3W1YyCMV5fmlWtYp6VtGdR5LbrOKFYNK98Op3kT+K/OghlfBr9+EjyYMFqXIm4ltQznWg5yXoRg2QJEE7eDvfwDmPH6Ur1GvAbtxQD1bkq3ixOVri9WepmuQ36H/MZFrRk0OCHygYl6o4DIScLKrCil1Qx1+8vyQhNw65oQrEyjSnagZ2sMjAc5dDh1qDOX6fXMtQykvRDFQoDR6QWA5I2EXBMNS2OWJfuzkEVg1Hbnk6rtCK0RkIiKCJ04jM7taHSmX+JG0Yohll2hsU23n1xT49UoRCZc2R8SFwppwC2VueW46e7LUY5PiReOqXHCy0s/jyFCOwYz8JCHDdOIANPRa6Qcnw5KscCyE0iERV2eHD8JiVEyaXoZ/IYpkIJWXGaQJDgJPZ7tCMgGQFXQoel3a0ehmM1pmTDrhbAM+d6AY0WwvQyKTgqxWLXG8TDVqMdqPCwAVkzLcnHLKMVGib+hj3Qx1DLiaCODdiT1txXcatRJT9SmgSiS/RMiHxrI+YGem6mkrceN3bmfJHbpcSfbVz7KueRWa/qcWAxFL0TCS+t2WpkLEMRMPZdrY1bn+uUYLP1u2TeSX5Y8UGDHtcIxbpuaP5H1yfFWn56PoGo0QsT0GJL1xM0AHX6ApJ+FF0uhEBpIZltgVI8r5XVkv0meWvLnsWrdx2mrCkW/tO4wVlXK+6XknC/ANl2kozhGJ4HAcbX8Lus3O8vWUoci26BU3xLB9HJI2CmEVhJOGKCodTCRXntkuycduU4EcEwLCdssrTMCWoomamOddSZ+iKxTo2V7I5tGhAQGAmN3+WN3nyrGH3vssfVeARERDX8SoCWT0ddph5MPP/wQN998sw4ffPABPvWpT+HXv/41DjvsMCQSA5Mh6gvGbiIiWhfGbsZuIiKqLIzdN5e93L3efYwTERH9N0D3p7+zgd1uK1euxFFHHYWamhrU1dXh+OOPRzqdXuc8e+65p7aY7DmcdNJJ65znrrvuwmc/+1lMnToV1157rb5zQ/o7+9e//oWjjz56UCvFiYiIKil2byyM3UREVMkYu68te7m7Ty3GDz30UK2Rl0oG+XtdhtqLxoiIaGT1dSaV4osWLcLDDz8Mz/Nw7LHH4sQTT8Ttt9++zvnk8avzzz+/14s11+WrX/2qvujj3nvv1ZdRm51dIgwVjN1ERFQpsXtjYewmIqJKxth9QNnL3X2qGK+tre3ue1Aqxzdmf6QLFizAD3/4Q/z9739HNpvFpptuqv3I7LTTThstDUREVBl9nb399tv64o3nn3++O05cddVVWnF96aWXYty4cWudVyrCm5ub+9WFSlNTE4Yqxm4iIqqE2L0xMXavHcvdRERDH2N3+fWpYvyQQw5BPB7Xv6Xl+MbS0tKCT3ziE9hrr720Ynz06NF47733UF9fv9HSQEREH630EpO+FZq7pmtvb+81PhaL6bAhnn76ae0+pefN03322UfvKj/77LMaz9bmtttuwx/+8AetHD/ooINw9tlnr7PV+FCuFBeM3UREVO7YXekYu9eM5W4iosrA2D2IFeOLFy/WimnLsvQR9Y2Rqbj44osxceJEbSHeRfpyJSKiyifX957OOeccnHvuuRu0TIlVq8YneUt1Q0ODfrc2X/nKVzB58mRtUf7aa6/pk0ozZ86s6O7BGLuJiIgqC2M3ERHRxtWnjlmkQvyZZ57Rv6Mo2mhdqdx///3a6k/eMCoVHdtvvz1uuOGGdc5TKBS0FWLPgYiIBlbY/SKQPgyd88yfPx9tbW3dw5lnnrnW5Z9xxhmrvRxz1eGdd95Z7/RLH+T77bcfpk+frn2U33LLLdp3+KxZs1CpGLuJiKjcsZsGFmM3ERGtC2P3IFWMn3TSSfjCF76grcWl8kEeM5e/1zSU0wcffIBrr70Wm222Gf7xj3/g5JNPxre+9S38/ve/X+s8F110kfar2jWs2iKRiIjKLwijfg1d76zoOayrG5Xvfve72n/4uoZp06ZpfFq6dGmveX3fx8qVK/vVf/guu+yi/7///vvr/t1BgCeeeAKtra0Yahi7iYio3LF7OGDsXh3L3URElYGxu3VwulKRR9u//OUvawXB5z//ee3aRPpwHWhhGGqL8QsvvFA/S4vxN954A9dddx2OOeaYNc4jLQ5PP/307s/SYlwrx41Spb1hOwhzGZh+AZq9s93SeMtCZLlAmAHM0rRhpgNmdb3OI+Miz4OZiiOS730PRrwK6GiFmapGFAaIvKJOZ9U2lj7nM0AY6BCFIQw3Divu6jRBy1IYVum+hNee1f+jzte92/FS5ZDlOIg31MJybZ02LPrdaV1w3jeQGtuIKRf/Hh+ec4JuK8ux4WVyiBWrdLp8SwamYyP0fMTqqtH6mx+h0JpGkC+imCkiDEJ0zFsKtzqly3fiNhKNNcgsWK7z106uR9vcFsy46+/d23PmiYci35KHl/dhuSt1XKG9oOPdmhTijg3LsRB4Iey4i+qxVXj54H1RPaEOLR+0IlYbQ3ZlTpf58FY76vzPffbTiNXE4KYc+LkiWue2I92Sx4T/SXX/3mK6iIaaGEzTQFAM4GXymubqSWOw8r134FQ5aNh0lI738z5S40ejmPG6t2mhtQOGaeo8pmsjt6Jdx8k22+zaP2PJL07VaWWQafxMHmF1UrdfYelynUf2i3xnxOKwR48v7cNUjR4fZrzUD3FUzOv+NgwfkWkDxTyMMID/4ZswfQ/e4lmyY4EoLPUNFUbwwgiuVXoKIx9EqI5KT2ZUx2xkioFOk3QstOQ81MZtbbVjGoZ+tjuPIXkBw4KVOdTFHaQcS7dTQvZDGCFbDDC6JgbLNNAQd/CV7SfgB395U+fLFQO4tqnfiZhtoiPv67wyTuYVHQUfTTVxnVbG/ebw7fDte1/XaRKuhbash2IQoi7h6DRL2/M6Xr4v+qH+nc37iMUdJOM20q15xBIO/GIAJ2bjmbP2wa4XPqLrcuM2vEIANya/NdLfKkzLQBgaiKdc+F4AvxiiYAUIOwtquXQB1Q0JBH6IIAhhO6Xz2A8jTUPgRzCt0rSyfSzbRKajiHjK0XnSeU/nkd+ZzvuIwggFP0TStVAdt9GR9/T3yO9rrHJ1O7RmS+Pk84ctOd2eojXn6TaUaeU3eGGo6ZR9LtNMaUjCC0ppcUxTf2Oyc3/J30EU6n62DAMhIpgwSsd+FMGxDD1ebNOAdPcpy5Z9HloRip3LjNuGpkt+u5wCshyvc9kD9byPHLN9fTGXTLs+Lahk+Ci77rqrVlK/+OKL2HHH0jXm0Ucf1WtkV2V3X7zyyiv6/9ixY9c5ndwQ3nfffbVifmPExf4YFrE78BA5CRiFDKzMCoSJWkSGCSP09VprFtr0u8hN6LgoVg2jmIFZyABBUf/X2J5pBRpr9TuN55arfxtuQq/Vck03si0IUw1ygYCVXgYYJiLb0fhtJlKALKuYg+HnAdNG8O6LMLf+xH9/hGEilLyG78GUtMZSCKtGw0wv03Rr+qoaEM5+FUZ9E5CsR5ishxEUgUw7zGwrwmSdLkfyEaGbgoHlCFKNgGHAal9SmjYKYY+dCrOmAcHyhbBGTwD8gqbRqh+t570p80v+JArhz3oNtZuMh98wCVZ9k67T8gvIJRpL8aWYh93YDCMKEW+sRVTIInJL8VfSK3mfjlvORXKvL2q+Rn5LdtESJE0TjpfTNMv4yInptgxWLIYzaXMEbSsQbfEp2O/9B9HoybAaMzBTNQjlt+bbdP/5i+bAWDgTWDYXUd0YuTiUfmNn3skIfFiNzQiqRiNaOb87f/bakg5sMmpcKc4aJszqOiBRo8eB7grJ4+XTQOjr9VCPFy+LMF6LoGoUzEKH7sNI4rEetD4QmIBl6/Y108s1HUYmj6B6jE4v+0O/y6wEUvW6bsPLAU5pnY4JHedJDA8jaFgPfMQKbVgaVWF01ShNV1DbLCeJbm/JP6qgqL/RkmNEjiPZ94Gn+x0dyxGOmlZKgxOHHUvoNHJeRLEUIjum08rfus9sV9Ml54sc52auTfe5pF3Gy3R6DHfmiWUby2/Vbbl0NtA0FWHbCj2GoiDQ7aTbfeymCN55Vo8hXU8xB6TqpIZR88tGXTOM1sUwkrU6r2xzf8l8mMlqGIW0rlN/c8fS0v7oWI4gn4FpuQhblpXy5okUjER16fyUbeQXEVk2DBnvOIj8zmMjivR3y29qDyzUuXE9P/0Vi2A1ji39VjlXi7LPq2Hk03ocR4W8HisyXn+/bG8npv+bcv7HazSvrtccWYZpaqssOa4kfxe1LgWaEpq+rm0q5Hoh6ZH5dJxen3y9lhheQddhFtIIDbN0XYlXw+xYovtGj0G5pvkF2MW0Xpf0elHM6L408x1aXtHrWAXG7qGKsXtgY3dgOigEpfJNm2+i1vT0OmLKcY0EIjepZZ4a14QpR7icy8UIKbmmxmqRN2OIhz6qjBCGxBe79K4zOU8yfoRquZ7LeWLlAC9fOneDop6X5uJZMBK1CKtGAbEUPNOFZYTIeSFqY6UY0u4Bllk6ntPFUPPZ7YUA9ZJG6V5v+wl4c1E7pJhVJXls1CJ0ErCzLRo33VETkF7YhuaUDaOQRSxeo9dKvZbKzzFtjInbiNISV1y9tgVulV6rXcvRPHmVayLrhUgk6uBn/NL1yHJgFrOwzbjG6JgJtBdDNKSXoSh5A8eFXz1G8xqGrihEUeONgSJsGIZX2hFSzqwZg7Z8gGQhrdenguEibTqoDjpK11G5FslgOQg9wBu1Caol/9C+GEV3DJzlb6M4cQedxpFyouQnqptgFdJIRSaKKxfCD6vR0DZLr09tUnZLJmH5oV67JjdWoS2TQ71RwPIwptdCKQPLtVaPN7capsQXuWTGa1FvWAjtuu79XAxcGFGxtO+jsPsaKN9J3HLDYilmy3VVlifXZMNEXOK/4SCQ+VKNsEKvtB6JY5JfyKyAV90Mq5ApxXWN34buG1O2i2khZpau7RKHYDqIJ1L6W1Lti+A0TkNoxzSvlZMybhTqOmT/ZwMDrYUAY6scmIGnx37SKVViJhwTUWRrLFzclkHCNlH0QqRsQ49p+azXYolHhoFCajRcJ67HVNGthluUfEtMy3pSRkwh0H0XJOp1PvkNkk+M10zTbdueD9EYN2G3L9bzI27H0VYItfwoy8j7EWr9VuTMWv0tcmZI2bFgpZArBKg1bZ1ezmE5XmUeSbvVvhi1neWx+rgFx5Byp4fIjGlstYy4Tms5Sdh+HmYUaBplGbFsK9yaZs0fGe1Ldb9E8WbUmEW0GY7G3YaEDchPlXoJI9R4KWnQfJHE1c4yQNqIoyosIDBcTX88LOi+C2WfBwW0BTaqLANBGOr1Jxe4SMBDYMT0miPxzLVM3TeWl4VtS94qpmmTekJdDyz9LNeylBWV/pfMnmwrA93lbjmXhVxjkpJ/6Hy8Ss6DID8wcZOx++2yl2n7VDEuttxySx2kD1jp2mRdLyQrF6mQ2HrrrXuN22qrrXD33XevdZ5yvLyNiIj6R/IGnfmDPk07UCRGfPazn8UJJ5yghTnP83DKKadoBbH0Hy4WLFiAvffeW7tL2XnnnbW7lNtvvx0HHHAAGhsbtY/x0047Dbvvvju23Xbbj1znxz72MW1pNRTfgcHYTUREQz12DwbG7t5Y7iYiqgyM3R+Uvdzd54rxLlIxLpYtW6YvJhNbbLFFn1ry9dcnPvGJ7nV0effdd/UFaURENHSE/Wh11tfp1tdtt92mleFS+W2aJr74xS/iV7/6Vff3UlkusSWbLbUadF0X//znP3HFFVcgk8loayeZ56yzzurT+i644AJ873vfw09/+lNtpZ5KlVqgdJFuYgYbYzcREQ3l2L2xMXb3xnI3EVFlYOz+XtnL3f2uGJeKBKlwuPXWW7V/tq7H0Y4++mhcddVVZW1JLi32dtttN32k6/DDD8dzzz2H3/zmNzoQEdHQ0Z/+Rwe6n9KGhgZtAb42U6ZM6fVIuFSE/+tf/1rv9UlLcyHdlfR8OXXXy6q7YuVgYuwmIqKhHLs3Nsbu3ljuJiKqDIzdKHu5216foCkVCPfff7/eWRZPPvmkvhRTXo4mL8ssl49//OO49957tf+y888/X5vLS4u+o446qmzrICKiDTeS71w/9thjGOoYu4mIaFWM3UMbYzcREa2Ksbv8+l0xLv17//nPf8aee+7Z6457IpHQVt3lrBgXn/vc53QgIqKhayT3dbbHHntgqGPsJiKiVTF2D22M3URENJRj98qVK3HqqafiL3/5S3cXpldeeSWqqqrWOr108fnQQw9h3rx52iX3wQcfrF2j1NbWDlq5u/QK1X4+jj1mzJjVxjc1NXX310pERCPzznVfh+Hm3//+N7761a9q91/yck8hXY7JE1VDAWM3ERGtirGbsZuIiCrLUIrdRx11FN588008/PDD+Otf/4onnngCJ5544lqnX7hwoQ6XXnop3njjDdx888148MEHcfzxxw9qubvfFeO77rqr1vDn8/nucblcDuedd55+R0REI08YRv0ahhNp0bXffvvpk1MvvfQSCoWCjm9ra9N3ZAwFjN1ERLQqxm7GbiIiqixDJXa//fbbWql94403YpdddsEnP/lJfe/kHXfcoZXfa/Kxj31My84HHXQQNtlkE3z605/Gz372M21x7vv+oJW7+10xLn18/+c//8GECROw99576yAvLnvqqae0yTwREY08EnODPg7DrF4cF1xwAa677jrccMMNcByne7y8h0MC9lDA2E1ERKti7GbsJiKi4R+729vbew1dFcob4umnn0ZdXR122mmn7nH77LOPdqny7LPP9nk5UqldU1MD27YHrdzd7z7Gp0+fjvfeew+33XYb3nnnHR135JFHahN6qbUnIqKRZyS/BGTmzJnYfffdVxsv/aS1trZiKGDsJiKiVTF2M3YTEdHwj93SmLkn6QXk3HPP3aB0LF68WLvU7kkqtxsaGvS7vli+fLn2L76u7lc2Rrm7Xy3GPc/T5u5z587FCSecgF/+8pc6fP3rXx/6leKmhciJ6f8IQyDwYNSNgWE7MKvrANsFChkYblynkfGGI0MMke+V/k6kSn8HHsJMOyLT1umt2kZExTzMVI1OF4WBrkOXBej/hmnqvFaqSqcNPV/HFVo6dJowCODU1yPIFxEUPfj5InIr2lA9aQySzY06rZ1wdYg8D+PPuR6mY+O9k78EL5NHWPRgp+Jon7cCxY4svGwegReW/s7kdXl1J16IeGMNDMtEMeMhXp9CsT2j42RZsZqYpiWzeEX3ZkuOSuLVw/fHK1/cDy8fvC8s10YYhKidUI1cSx5V46oQFAOsfH8FnFQcURgivazU17wVdzHnmQXw8j6iIIRhGXDiNtyko8tq3m4MCu1FeGmvMz1x5FZkkFueRS6IYMddXeayNxbAy3hIjkrAqXLhplx0LEojLJaWK8uXNHR82KrzZJfnYFom8i15/a2a5mKAIO/pdi+0pOG1Z1BoL+hvmfPDY3T7epmcDlYspsuVaeX3yDj5XraR/B0FAYKWpQhalsmOKx0Xxbzu99L/ISI71r3vo1gVzGIOsCyY+Q4YfgHwi3AQwjAMRJ138iwTcC0DxSCCZRoIOm/vdRQC/b/KtVHwQ/27Le/DNA39O+cFWJ71UJt0YBoGMl6A2piNsXVxXY5wbRPpvI+EY+HG5+aiKm7r8GFLTr93TBONVW73eoPOC6gsuzHl6nx1CUe/q47b+NrtL+l3uWKApGshly6iLVss7XfT0KHoh0i4lg46X9KBZZfSEwQhbMfsvlB/8uLHkKqJIa7TmDDM0kU8FneQrInB90KEnW+OiMIIXsGH7ZoYUxfX7+TvrseEsu0FnUbEEqV7f3VJBzW1MbiuVdovhoFkwtH5JH2+F8C1LU23/FZNf6H0KM+KTFHTL7+nLumiLet1b6emmpiO78j7GFsb12ktw4BrmYjZpv6v53cY6f5KOhZqEw6WZ2U6wOtMp/zWtrynf8s+lmVUuRa8MESmGOj/sk/iltn9vexa2wISjqnHjoyTZer2LR0mpW3Quc2FrM/pPCbKTdLXn2E4aW5uxvvvv7/aeOnnbNq0aRhslRy7zUKmFK+9LIxCWuOvMEIfVscSGIUOvbZGTul3GMUMYNoIYyn9HCbr5YTXa27kxOUCAiOeRCTfmzYiw4QRFGHWNur/pYtPWIrTrcsA39N5w1ymlJ58h05jFHMIVizWeSKvAKN9GaJsW+malmnRaSRNmma/dG1E6Ot4My7rtgCZ144hjFdr/kBiRRSrRsvorYFUPSLLRlTbXFpvthVhvKaUPr8AY9R4Xa+kW/Iiwmps1nRLHLEmbK55E79xGoJlC1Cz9ZbIunVwttkVoeXAaFmg0zmWAXv0eNhjJulv1fxMLgOrY6nOJ9tI1lF99LkInaTmcyS9NR/fTafVbR74cMZvIhd2hLFqFJavLOV7HAeml4MRS+h2D9tXIqgeU9q+sWr9jRJDg5pmmIkUJBhGbgKhmwJqmxDmS9tcto3sx678muad/BBe0+YIqpt02bo9ZZvbcYROQrerpKEQq0XKinS8EYWw2xZqzJV9I8eIxuMo1ONMvtdjJ1mPsGoUvIbJCBO1MIpZuHVNMIsZ+PE6hMm60rHSuU6ZJmkbyAeRLs/1c3rtlzghnyM3hbq4haJhd6bV1u0Cyy2lI1lX2v92rPR7ZLmdx2rkJvXYMzuWAm1LYQYeoqoGTavh5UrHWOc5Icem7lsv331s6/Evy5FjJPSRMeKadtlnki+R/IqZb9N9avh5PabNzAqExXxpe7qJ0rlT24zIcjVtYbpV92GwYlEpH9x1/qRXAtWjELYth1ldr99FhRyifKa0nTUNpfyRLEvy11Z1ne7vsKOldAzUNpXyT5aj88oxL8eKIemQ7SLHm+2UzmP5/b6n8UTP17YVpXyZntuWLqP7nJV9Vl86l8JUQ2mbyfko20Z+5/IFei2JOueRfSpD13VF2GOnwUxVl9Yt524sBau9dA2Q7WfK/FKWkG2bbencXjZgO7of9Poj1yKZv5D+7/Y1zdK1QLaXXA/kWJfzRq9ZydL26rxODQTGbsbugWD5+e4WjTVuKS+c72yPl7BNPd5Tjol0MZDSkJ6TMpVce53IR9brPDc745tcn4ScM1VmoOeG4RVK1ws5h+Q6nmsrfZZyeOf1Qs5/KVc5JjTeVYWlMqrEv+U5H+3FUhlLppH4nfFC/e7qp2ejOmZqGqVspeW30IeR79Br+8qO0nI0ux1FsFsXaFollmje3nYRN6NSjJCYkqwrnf9BETWmh5gJLMtKuUy2QViq5Iql9Jon1w+JKZJdbymEWp4onaxFoLoR7Ygj74dwwqJeZ0YnbVheKT05rzOPY9rosGuQ8yNYk2foNVjKA5I02dZFK6ax0k+N0u/itgFnxWzdDlG8GnHLQJSo0XyWPWEbJGUDyjVK4qflaHkjTNTDNY3S9byQQVshgJVrRSKSa1cC+VwOMSMsxVbdGVbpWlbMIIxVIda+sLTuIAcfZulaZMcRj4rIWwlNg8QjXW7rQr2my3VaYkaQaoS9Yo7GV71uSpzwCzq95hfleIgCXZ8eP3JNlZghMT5eo8enxkLJmxgWql0TRSdVij0yjVGK77IvZNt6S2brb5F9aeZaYEtMBvT4kPxFYJau8ynDQ3OqswVrGOh2k+NHjhnZz7I+mb65NtVdHvM66wHsYhq2HFGBr8eh/i3TOwk9j2RfyCyyTG0JbMchZ43kE+K2Cds0dDu0F0NdpuxTie+6v+3OPLJRSnPOD0vbtW2xLs+RpEShnlt6jsr+RmkZK/N+d/lS42Q+g4bMh6VjojP9VvsizSOFblKXL+eADF15Lz1HOxMgx6ic45KHkHNK0q3nlmHo+VUMQvg1zbp8+X1+rAZ+GCGXaETecGEW03rMSRqDWJX+FjlnS9eJgu7n9tApbbOwVGZvCR1dTzpy9Joj28WTZMl1R2Y1SttU47Dsus64m0JRzyG5ZhWizjJ9BF1nV0k2kvK5HPNyPBgefNk3YaT5VM2TDlCRd31i9/z587Vldtdw5plnrnX5Z5xxRmmfrGPoaiS9IaTl+oEHHoitt966z5X0A1Xu7leLcWmq3rNvcSIiItGfPsyGWx/jUtn87W9/G7/73e80oyB9qsmjZd/73vdw9tlnD3byGLuJiGiNGLsZu4mIaPjHbumqRIa++O53v4uvfe1r65xGKqGlknrp0tKNoi7ST/jKlSv1u3Xp6OjAZz/7WVRXV+Pee+/t1S3KYJS7+92Vyje/+U1cfPHF2sF6X/qAISKi4U/aGHQ26u/TtMOJ3FUPw1DfuZHNZvXxrlgspgH61FNPxVDA2E1ERKti7GbsJiKiyjLQsXv06NE6fJRdd91Vuy958cUXseOOO+q4Rx99VMvF8jLOdbUUlxdoSnn5/vvvRzxe6mljMMvd/a7Zfv755/HII4/goYce0j5LU6nS48pd7rnnnvVODBERVaaR3E+p3K3+8Y9/jO9///v6aFc6ndZHwqqqqjBUMHYTEdGqGLsZu4mIqLIMldi91VZbaatvacUtL8SU7jtPOeUUfPnLX8a4ceN0mgULFmgl9i233IKdd95ZK8X33XdfrdT+wx/+0P0yUCGV8ZZV6gprY5e7+9XHuJC3jn7xi1/UGn75sdLJec+BiIhGnpHcT+lxxx2nj4O5rquBWYK+BOdMJqPfDQWM3URENJRjtzx6fdRRR+mj3hKzjj/+eC3wrsuee+65Wr+nJ510Up/Wx9hNRESVaCjF7ttuuw1bbrmlVn4fcMAB+OQnP4nf/OY33d9LZbm8MFMqwsVLL72EZ599Fq+//jo23XRTjB07tnuQftAHK3b3u8X4TTfdtN4rIyKi4Un6L+t6YWxfph1Ofv/73+PnP/+59pHWUy6X07vj0gfaYGPsJiKioRy7pVJ80aJFePjhh7Ugfeyxx+LEE0/E7bffvs75pKXa+eef3/05mUz2aX2M3UREVImGUuxuaGhYZ5yeMmWKvqS05w3tnp/7a6Bid58rxqUfl0suuUT7gCkWi3pH4JxzzkEi8d83thMR0cgU9CNA93W6oU4e+5LALoPcue7ZP1oQBPjb3/6GpqamQU0jYzcREQ312P3222/jwQcf1G6/dtppJx131VVXaeuzSy+9tPuR7DWRivCPeslXT4zdRERUyYZK7N6YBjp297li/Gc/+xnOPfdc7LPPPloZfuWVV+obSIdCSzgiIhpcIzFAy6PeXY9ub7755qt9L+PPO+88DCbGbiIiKmfs7uoLtIu89EqGDfH0009rTO2qFBdS5jRNUx+5PuSQQ9b5GLf0UyqV4wcddBDOPvvsdbYaZ+wmIqJKxnL35mUvd/e5Ylyapf/617/GN77xDf38z3/+EwceeCBuvPFGzbQQEdHIFYR9r/CWaYeDxx57TO9af/rTn8bdd9+tj5J1kX7PJk+evM5WbhsDYzcREZUzdk+cOLHXeHmCWBpPbYjFixev1tLLtm2Nq/Ld2nzlK1/pjrWvvfYafvjDH2pfpvfcc89a52HsJiKiSsZy991lL3f3uWJ83rx5+jhbz7v4Uiu/cOFCTJgwAUNd5OWljT0iOw7DcRCFIWCaiHwPhu0AdgxRMafjDScGw3ZhmBYQdH3vwnATiPJpRJYDmBYMP4/QL+ryzao6wPcQFfOIPA/WqGaEuYxOJ/PayQSMeApoWwGzvgn+goUwXVvX52VyCDwfCc+DYZkI5HO+AD9T+l6mC/JFhEGIQmsasbpWdPziVMQba3W+mqY6FFrScKuTqBpbCyvuotiegWkZiIIQpmPr5/lnHQ87FUf77MUwTUPH51syukxRaC/ovFEQISwGyCzt0PTMuOvveOGAvbHT3x7BzBMPheVaaPuwQ5c9afep+OCh9xBHHLmlLXA3GY9YtavLyi5tQy6IUNWU0rTbcRthECGdLmKsa+nnlg9a9f+qpiS8jAcv75em8UMU2nMwMwVYjgXTtTBmRjO8TAFOlaPLbP+wDX6+qL8zLIaI18dRM3Ussisy+ntqJ9eibW6b/s7ACxCvS+o2S3+4DPnWLNIL02jYfBwKrR3ImybijTXwMnn42dL+KLZnkZowFommev2tdk0N8iva4LW2/ve4KuRLx0KyRo8Xv2UpDDcOS44Z0wbCAJBHPgxTB9id/5smjCiEa1nI+b2PVccEsl7U/RbhpGPBC0NYJtBW8DGpNo6OQgDHNBCzLVgG0Jr3YJmGTu9apo5PuBZitqnjpdDj2ibSxQAtOQ8NVS7asqV5ZDqZT6bJFgNUx22syBSRKwawDAOja2I67dwVWUxzU6hNOviwJQvLtPTvd5cEiCcdXZbMJ/N35H3UJR0kXBuLWnO67qIfIpsuYlR9AoZp6CDz2Y4F3wt0Gtk+BVmvbep4qXSsSjpYDiBR5SLTXkAsYSPdmkcURij4of6fTDhY4YU6jwxOzMaoxgQWL06jzbGQdC1df2OVC39cNezO9cg1TNLZkSliQn0CRT9AW85DVdxGoeDrfLJdurah/O+Hkf4u1y69MVnSLb9ZtoX8vbS9oOM3G1OlfXq1y3KSLhJOaTtLmptSMazIFlETd3QfeWGE8dVxpIulg0HHBRHitqmBT9Yr+0J0vUTDNg05tCCj875Ma6CraCubUr6TeeXv0nFlwAHQNkCttUfines99thD/589e7ZWFAzFm8SVHruFWUhr7I5iVUDoA24KIZKAYWocNvIdMOw4zGwLwkStXmPNQgZmMYeguhqRxO9kLYxiVq+7qBmFyHJhFDIwvBxCiflyvZZrupsE0suBVD2Qy8BomoRo+QK9ZodOAtaKeXqtj2rHwKofDUPSEwaIvKLmA9x8i8YAFDIIRk2F1bYQYbJe12sUc5o+K5ECEjWA5SKSE1h+RzyJyLIROXHIma6/w0kC2Rb49RM1sybr8kdNg5FrK6W15V1YYzcBsq0IRk2BWegAOlYg50UInaQus6UQoqF+dPe2DKpGwyqkEWbaYUQRikEE6RAvnLYTrJXzYI+ZBLO6Dn68WmObTO9M2hzhrOeAqtH6G/1EPaxpOwDvPougdlxpe1u2/j7ZTnE5F2oaYCRSCAul/IXsP81zyXL9oi5X8lf2+E0QWC68sdvAnvsiTDeBoKYZRuuHsOqbEMlvknkMU8eH778Gf6tPoXm5ASu9DEGqEYEVg1U9Clg6F0jU6nGg64yl4EY+zI6luj0NLwbT92DnW0v7WaaxXPgw4ViO5u0iJwEzs0L3QxSvQ+Sm4CyZiaJ8lv0fFGDm2kr7tJjR5ebgIBEUEUUWzHy7LtuMAo3vkZuA4RewwjdQGzP1t8s20G3mZQHJK0j+QNIv+6d6DMzMytIx7ecBzynlK1ONsDIr9FgL47U6jwxhvEZ/rx6Hcq7IMe7lYASepl3Ol8iOwSikYXo5JOOl88MIPYSSp132IcxYSpcp+8+IxRHGq2G6cd02erzIvm/eBJBjOBaH1Ty1dCwu/ADp2smoMhcAi2fBqG9GUDsWtpdD0LIUZqoOVuNYzXOHcqzHq2G88yTMiXEYXr50Dkq+WOLo5tvDm/O27k+rY1np2JiwKQLJbwu/UDon21YgTDWUzpnQ1/x697Et65TzyE2Uto1cL6IIYdtyhNl2GJv/D4yWzgrWoAgz36H5NP29qWotD4SGhaBlGVA3HpHhwIzaNA9vtnXodpRjSveXXI8sF2F1k24XPb79oh4Xsp1R6ND0yTT6OwO/lKZEHSwpV8jvicLSsZRq1H0YmTZiqWoUAg9W+yLdf7oMN6nXLjP337znYMdueTmWvCCzy7pai59xxhm4+OKLP7IblfUlfZB3mT59ur68S7r7nDVrFjbZZJM1zsPYPfDkelrlmJrvDWHADn2YVkzPBwTQa2WQGKV5WWEERbh6vkcoGjZcK0IhMhAPCzDk3ErUlZYrscB0YEnctRw9l+Q80XNIyuFybWgYq9cMvUbHUiiGEWpcC6Ys20nBNQwtD6ULIRwpQwLoKPqa55a8tuS545aJuGVoPLZCT6//oVxLg6KWu+qqkvDDDNoKIRpNC17VWDhtC3S9rmXAzLbpdVyuM4HkMaIQoZtEEK+BlWtFe+gg64X6t2nXIOGYMLMZtDl1qJZ8QscSGMl61LsS/UO9Tlhti+E3TkGNGWBJwUDKDpAz41JY1PS5npS3LBjjNtNt0lYwtQyQzeVhJ2rhmgY6iiFqYyktNyRXvodc0xa6T2JSZ2DHkfZCVBmh7CKt14AbIZj/OoK6TRC6Ml+IuB1DbZgFPCDpxOHHJ8Bu/RDNKQfwS2VwuZ75EeDIfpB8gGy/WJXGJqNlISB5h1jpGifXQtsA2iVtRqkMVUSEOuT0O9mest0lNkvM0+PFL5TyS35B82aQmC55M73uhxor20P5/QaqghyKbjXcYrYUxzrjomxTOV6kDBaHj1xkwZZ8iuR9QjluAT9Vyj+5MR/ZwEC1V0qfFL7kcihpy0cxxKJA960psavQruuzJMZbMT3u9JgwgNAoxbx8Lqf5ryCSzSxlfENjiOekELPd0vSFdoSxzj6UI5Riv5YDofOaRqhpSHQsQZicpPPI7467hv5uOXYLVi2S6WU6Xc4L0Yx2LPZqUPQjyO5CpgUJrwNuXROyMDTNsWIbsvEGLPNdWGYEU85fhMj5ncdh62KNdU7kwyhIbIyX8g+FNIp2CjEjhJSGZBvmrYSeL3aiHjHZL9L1lRXBgw3zw1lwp21f6ms69JGKmzDb0sjHm2CbpfypRJyucmxa6npsQ/MlhpeFnVmBFYlmpJzSPtR9K3mLWJWuUza45oesKr0WSXpXFDvrSuI1cIIInmFrOuX4glmKY44BXZ7Tmc+A4eo1wOw8pqUeQM4XIf8FMBCYMTidpXD5V645tTEL8Et1BQOB5e6JZS9397li3Pf9Xv24CMdx9OUoREQ0so3EAN1F7lALedu2VETLezh62nbbbQcpZYzdRERU3tgtleI9K8bX5bvf/S6+9rWvrXOaadOmaTco0kXnqmXPlStX9qv/8F122UX/f//999daMd6FsZuIiCoRy90oe7m7zxXjcjdHMjY9WwXk83mcdNJJSKVKd7/Euh5dIyKi4WkovR17Y1u2bBmOPfZY/P3vf1/j9/JCkMHC2E1ERIMVu0ePHq3DR9l1113R2tqKF198ETvuuKOOe/TRR/UF0l2V3X3x/9s7D3BLijL9vx1PvDlMHoYhSxIQEEygKKBrFkUxIIoRFUUR14gLC4IBUYyrAv8VWRO6iuIqAioiIohkFEEYmDxzw8md6v98X99zmQszwwxzU8+8v+c5957TXV391Vfhra5Tp+rWW2/V/zJz/ImgdhNCCMkifO5+86Q/d2/xwPib3vSmxx17/etf/6RuSgghZPtCl3jZ0lln8rO57YhTTz1VH+hlg7AjjjgCV1xxBVatWoWzzjoLn/vc52bUNmo3IYSQ2a7de+21F4455hicfPLJ+NrXvqa/SD7llFNw/PHHj68Z+sgjj+gyKbJ3xiGHHKLLpVx22WW6XFhfX5+uMf7+978fz372s7doxhi1mxBCSBaZLdo9E0yVdm/xwPh3vvOdJ30TQggh2zc78k+6ZFbbT3/6UzztaU/T9c7k59nPf/7z9afm55xzjm5UPVNQuwkhhGRBu7/73e/qYLgMfouWvvKVr8SFF144fl4Gy2VjTfn5dHuzrd/85je44IILUKvVdK8PueZjH/vYFt2P2k0IISSLzCbtnm6mSru3eGCcEEII2RQ7skDLA/ng4KC+7+np0Z9n77777roR2C233DLT5hFCCCGzXrt7e3t1BvimWLJkSbpR2xgyEH7dddc96ftRuwkhhGSR2aTd081UaffkbuVJCCFkh0R26d6a1/bEHnvsobPYhP333x9f//rX9Sff8nPwLVnnlBBCCJkJqN3UbkIIIdmC2n3vpD93c8Y4IYSQbWZH/ub6fe97H1asWKHvP/nJT+o6qfKTcPmZ98UXXzzT5hFCCCEbhdpN7SaEEJItqN0rJv25mwPjhBBCtqvdsc8++2xceeWVuPXWW1UkZYOOJ0J+ni3i+s1vflPDP+MZz8BXv/pV7Lbbbpu85oEHHsDOO+88YSPqgw46CA8++CDuueceLF68GP39/ZOWLkIIIWR71e7pgtpNCCEky1C7J/+5e4dZSsXy8rCSCHAcwPVh+QUYywaSGHA8JJX1sLycfja2CyuXB1wPsB1Ypc70uGXDhAHM8CpYfh4maMKyHY3fLpRgFUowcZzer9Axdj69h5xDFGh88ZpHYPsugtEact0dGt7vKCJu1BHWGojDCLbnImq29H9z3YiGz3d3IKo10nONAK2hChzPRXFun8YR1ZsoDPTAxMlYnHm4eR+2YyPX04HWcAVxM0BjqIlcVw5JGMHxHQz9/RG1sznaQmuoCtt3UFlRhYkNvLyLe9/2Cq18d5zwInilvF5T7C+gNRqk6ZNvWAouWqMNrL3tfjieA8u2UFtdx/ydujS+uBmi0JNHrtNHqeCiKTZ0l+GVvNRfjo2gFiKshoijBCNhoteHzQgjD46gY14ZnTvPS9PSmdNrWqMt7PWd/x2PQ96HteZ4notv3LyL1nBV/4tf66uHYJJE7QtqgfrKyef0/uJjib/y0CrNx+b6EVieh6jWRFCpIWnW4XeW4HV2wpJylMRI6pUx+9NyYkmZ2RDHgxU107Jn2bDiCHZYB2xXy1MjTFD2bDgW4FgWZOlEy7LgOxYKng3JylYcIzEGYWxw/P4LYFsWHNtC0XNQD2OUfRe+Y+sxT9IVJxhtho970JHzI60Qg+Uc+ot+WkYcG3k3LcPVZoQgSvS67oKn4WUX4/XVAOW8q5/lfH8pvVbCFSRvE4Ni3kVvKQfftbGwp4ilA2UNU86l3711F329Xmzfqa8EP+dqPmuYoqef641Q45e4oiBBsexjoL+ox9r2+zkHcWQQhTFajdTefMlTO0qdOczrzmvexnGidrhemraugo+FvUXM7SpgyWBqm+vamNdbgO86KBa8CWmSeHM5F11FH70lH+W8h8HOPApemt52uiTc0oGS+qcz52JOZ15tGOzMaX7atoWSn56TPBYk3/qLHnJuWnc6pD6N2ek5NppRAsuC5n+YGDh2apeUDSkHedfW895Y/gRxms/N6NH8Fj+7tqXh2ueTKd6ZWnfH3orXVBIEAY477ji8853v3OJrzjvvPN3kS36GJbtcl0olHH300Wg2H21THssuu+yiA+MnnXQS/vu//xsPP/ywHi8WizjwwAM5KD4JxOV+WFFL21HjF2GFLRjHhd2qwuQ7YBwf0ZpHVLflfeKXYPwCEjlnu0AcAiaBvfRpsIIaEIUwXg5WWEfcNRdJqRdw/FTfm1VYQR1JuR9G+gy5POKOOYhH1ul10o6L9ie1USS5DthdfbCChmqB3dGr9kobnzRqaV/DsmE3KxqX4nho5Hr0+qh/aZo+qdtuHu7+L9DwSCJI7TC5kt4v7pynOiFpRRyofcbNpf6ojSLuWTjmpwG1ycoVUfZtJMUe7Zf05Gy13+7ogUiChKnYRe2H1CKDNfUIdveAHtP05fKIBnbBalPW9LlDyxDP3UN9awdV2KUOVEIDuzmqfSTjpnqgtgOaPndgAeJSH0znYJoH+Y5UB/08rFZVevPwl90Cp7YOTu9cLK9FGEm89Lz40xjNv6R3ESyTwLgenNEVqQ9cH1WnjJ2lrQ/qarO0k5LHJgowWpyjx+qlOeNlyBS60vOqwQEQR+pD6ZOJn+riXy+PpNSHxPHU5obfpe2UFTY0r7RfGNQQOzm9Rq+XuN08inFdj3fl7LRfKfkkZS5sql+M42l7rG2++EvSV+5H4pf1enVfZS1g25BmPO0vWFqWpKxbux6s/tEyI/2EXHqdJWXLGeunSrkQG6X8uPk0rUENSaEHVhxq2rQetCqwohBo1dL/tq22yktIKsOIexYD83bVMqi2SZnoXqj+dzq607yOQ9idvRhqxkgKXYjXrdB6FeXS/nIysg5R1wLtQ1n50qP+dz1Y6x+GWb8CrTl7aj5L/dZ+cq6Q+tQvan5rn/nuP2h6tY47btoX90ta/sR/cm9f+hblbi13EofWOWkLJJ9yJS0Xcl7bArEtl/a75dpkaBXizrnp52K3liUp46khCRJ5VvAKWp7FV5oOr6D/1dfS7kh91H6djQg2Gm5Jw0g7pMclrKYx0vd6L0l32BprPyIkYme+A+Gah9I2qGMOkkJ3akeUlqd2HduetXu6oHZPPVLmpc9aDRP9L2Vf+sWqM9IfjkNI99RzLDhJqNfIs4+E0+cKz0ZL+sMSPmql9cyytF43ogRNO22D5ZlK6rw+V3XNhRl7Ltc2WuqM46Pg2mpDM077zDYMGpFBybeRcy105dJ+eWfO0eUJ5N7Sz5fwXtRQXbCra7UfbqLU7ujhO9VeCSs60b6n1H19nhP9b4wg7hxMbXN8WGEzfc4Lm3ofsSv1C9DjpO2A6L3f1a/ttgaWTWdluMaytd2Qtq9h0mcR6VMUTIBaaDDUSuCu+xfmlz2Mdu6k9koQeVZwg6pqRUdzbfosEgXo8NK88FsjaX9iLN86fVs1RNIWzHuK6r60mSU7ht0c0TDiS0mn6KkcV9ukzyFxj7WJ0h6KryVuOS/Pps3O+em5sX6D+ET8pH2XONDnPNWzqIlqEKeaFTTUFkm79MecyirVSWm35VjdKaIeW6k9Y31FvaftqO4W3fThyw8qgOi85aTt9thzuCA+am4wV3SklY7lqI1jz592dY2mT+yUV7tfZyUx8ibQPHKao2PaW9frpH33YrGppfkteSY+b409kEn5kuPysRYm6jstO9LfknGB6hrVFPGf5FuSK2v5kHrh2UAZQepzfe5Ln/0k7V15B3bUgiRdTideUe8tfRDRz1Zk0FNw9JzpXZjmz9BKrG1E434U21zHQs6R+pHa0JN3tGwkA0vH9cyKAqyNJU897V9oHdZnXVvrSTVI4CJBAgt2fSgt05aNSpDA7ujWciP1WuKV/oT0tbXManrSZ9uclWidL7iWhpE0BPlU3wUpZ3nHQtMpaHxSL0pm7NnNsrWNkXyQPJc4JD+lbJR9Z7zcq67rs7Kl5VzOSzlLtD4Dse3pZwkv9U3SJOkbe8TW8lqPDBJpp8YGWCWpNePp/acCavd/T/pzN2eME0II2a4488wz9f+W/pxKZotfcMEF+NjHPoaXvvSleuzSSy/FnDlz8JOf/ATHH3/8JnfFvvbaa/X1ve99Twfkly5diuc+97k48sgj9SVxEEIIIWR2QO0mhBBCssVvp/i5mwPjhBBCdui1zuRn1StXrsRRRx01fqyrqwuHHnoobrjhhk0OjB9xxBH6EmRm+R//+Mdxwb7kkksQhiH23HNP3HnnndOWFkIIIWRH0O4nC7WbEEJIlqF2Nyf9uZsD44QQQmZEoEdHRyccz+Vy+ppuZFBceOy3zPK5fe6JyOfz+o31M5/5TP3G+pe//KXuki1rnhFCCCGzkR3x4XpDqN2EEEKyBrU7P+nP3ZlaY/zcc8/VdYhOPfXUmTaFEELIRgR6S1/CokWLdGZ2+3XOOeds0qdnnHGGtv+be83EILT8jOt3v/udLt8iwtzd3Y13vOMdGBoawpe//GWdjb6jQ+0mhJDtR7u3B6jdTwy1mxBCZifU7jMn/bk7MzPGb7rpJv0WYL/99ptpUwghhDyGWDdMam/x+cRhhWXLlqGzs3P8+OZmi5922mk48cQTNxuvrDP2ZJg7N918bdWqVZg3b974cfn81Kc+dZPXyTfVslGnbMD5nOc8B29/+9tx2WWXTYhjR4faTQgh25d2Zx1q9xND7SaEkNkLtfs5k/7cnYmB8Wq1ihNOOAHf/OY3cdZZZ820OYQQQh5DshWzySSsIIPiGw6Mb46BgQF9TQUysC2D41dfffX4QLgs8yKD3u985zs3ed3vf/97FWN5yJY1S2VwvK+vb0pszCLUbkII2f60O+tQuzcPtZsQQmY31O4jJv25OxNLqbz73e/Gi170ogkboxFCCJk9zKafdD300EO49dZb9X8cx/peXvKw10Y257jiiiv0fXuJLvni9X//939x++23441vfCPmz5+Pl73sZZu8z/DwML7xjW+gWCziM5/5jIbfd999ccopp+CHP/wh1qxZgx0ZajchhMxuZpN2TxfU7s1D7SaEkNkNtfszk/7cPetnjF9++eW45ZZb9CddW0Kr1dJXm8du7kYIIWTyiRLA2sKHZgk7lXziE5/Q3anbHHDAAfr/mmuu0Zndwr333ouRkZHxMKeffjpqtRre9ra36UOzbOZx1VVX6cZcm6JUKuGYY47Rl1CpVPCHP/xB73PeeefpL51222033HHHHdjRoHYTQsjsZzZp93RB7d401G5CCJn9ULsx6c/ds3pgXNaffd/73odf//rXmx2c2BDZvE02QSOEEDK931zbW/hwPdWzzi6++GJ9bQ5jJtogs8Y//elP62tbHrZ7e3v11dPTA9d1cffdd2NHg9pNCCHZYDZp90xB7U6hdhNCSDagdmPStXtWL6Vy8803Y/Xq1TjwwAM1ofK67rrrcOGFF+p7+Yn8Y/nIRz6iswDbLxH5caKWLMijbxO/AMsksFwPxvEfDVPshhUHMI0a7EJJz0kYK1cErEfd5XR0p2/k+ijUt1a+rNdYjqPXOV19sPIlWH5e40iaddhj14W1BrxSQf8LcTOA5aTxmziBSRKU5vUhqjXheJ4ek/O57g4kYQTbdxFtcI18nnP6lxDWmxrW9j0N1xyuI5bwtq1h5ZqgFiCohmisqyKohfpezvklH/WV6/T60mAJxcEyqqtrqK6oIKyGsNv3jxM4noNcp4/KI0OoDjX12rAWor62jo75ZRT7i/BLHmzH0vjknrIWkuPLdTm4eVfTPPpwBXEQo2unHv0v4QrdOQSJ0TBhNcAjyytwfBvhaB2FwW44no04jBE1I1z/zGehNRrA9m38833Ho7luBK3RFlpD6ZIJEl/bd2EtwOgDK+CV8mgONREHCdxSHqW5vXo+CSIUBnuw/p5l6r+w1hz3rcTnlDpSH8pyDLaDuNWCnS+meduowbJt2B09sEsdSGqjMI6XlhEpN1LWogCwbS0bxs0hsRzkXRut2EAeNSwLCGKDKDH63oYFyV7PttOXY+H3969DyXdQ1peL3oKHouegEcYo51zYtoVGEKMz78GxrfHymncdbUA7fBf1MEYrStBfzmGwM4fEGFRbkYbvyLsoSNx5F9VmhI6ci0W9RQRRgr0XdGqYnoIH33X0ffshqX2vajPEQGcO3UUPw/UQQZxg/0XdGOzIoa+cg2VbGpcMQnZ35ZHERs93l300a2k9Evtl0DKOEyzsKaKv7KOrr6jnerry6OnJw0j58Bw9tmROh9qRK4jtLnZamK5ZLdctnldGFMYo+o7aIP/ndeU1jfVagN5STj+Lvb1lH+X8WJ6N0VfykXNtFDwHXQVP0yM+m9ed189dRQ879aT+CROjvpS45RUbM55vcjznOugv+ujMuRC3SX3oLbiaj7mxehzGiYZt+1X+i29LnvgbsC0L/ljYRpRoeRHX14IY3lgeyL+d+spoxWlbJ+O/OTfNK/G7xDEV7Ig/6UqSBH/+85/1W+pjjz1Wd8Y+/PDD8ZWvfEXXLL/oootw//33Y0djUrW73X7GEZBE+h62C+PlYbXGlsZJYiTlfj1nN0dg3Pz4ddLWCvEDt8B4RZh8B6zhlbBbNRi/hKTYA4jmezmYMIBxXH0JpnsurKCetun1Snor6RuUOuE0hmC5PqLl9wOlnnHbxC7TrGtfwwobMH4BcT5tk+Sz1Fu7f2H6uVXT+jhqfEQr/qHXN3I9cG1L9aJiF9Gw8yh4Nqp2EUm+C0mhC1YSpf2XXEHvKxq0rCpp9TU90oaMmBxMrozIAJbnwx5cnN4zlnbZIKkMY7QVp++LPWhGBsZ2gXKf+kXu6ez/XE2P+q9rLpJcB6L+nfVz9Tc/gL1oTzwclwD1ma+2jLRi2PN30XQHPTvBqaxGIv2qoeWqj2HHXO0TyT3kmmDe3tp2jrSSVEejJhqWr3llt/NX8mIsfnfvw1UzpV0Ufwr5uKH+cHrnanrGr5FyEIeI/DIQR7DDBqK+JarDVdPWZwuNyCAp9Wk5cqprNZy0o9UgLWuat2M2uI31sIIa4o45adkZQ5rVWmj02nbZS8Z8F9g+fOkLjZkmfYO1oYu4cy6MZcMKW9p/kP+SLsljyQuNX/6XetHlJqg7aT/079U0jLyX+2kccahGJH5JfShlRMs3LCS5EoxlaZxW2EyvzZU0vPRZ5fNQZMMUurRsJ46XhkkizQPTNSetW40RxCPrYFxP+0BWZz/qoUHD64AzsEDTVgsTwPHgLdlL647WDbGzMYLEL8KWfnGxCyYKNN/jrgWpH/yxvnLYQtS9EMmDdyKev1d6TNLj+oCUl3/dgyRXhvGLaR9r1QPaX0wW7aP9cclbSa/WkaCuaXZ6BhE98k+1C3OWpPW41AfjFTQ9kp9SRtVOC0gGd9Hr7PowrCiEXV2r6UUcax2UcoLGKKxmJbXBGD0utntJkMZR7NE4pBwLdn3oUZscT8NKnJrXXkHLqrRn0vZIXjqjK/RZRNomqV9W1NJ8ngqo3dTuqdJuafIKrj2xXbZsSPdUNEK0LowNYtvT8NJHTdtTS5+FOn0bdm0d4vKAtmFyTLRVB4Ta9UzuY6X1Pu4YhNMcHesPGG3vpB0TjXAtoBkb1MMErUTeJyh7qW3t+FZWA/TmHT0mfWrHsuBUVsGWeju6Fk7U1LYz51iIe1JNLUjE8hyUhNoeS52WY9KuiS4pUTCmYTGa8gwUhyh6toazgoY+Z2i6gwbKvo1g7cNpvyeso2XEX6k+S/9FNFl0YoFdQWC52lZ05mx05RygNoSyHae+KfWp/1RbRW9tF83SgN5X2hRJV9SzML1Pq6Z5If4TWwInp2kUP4hv7VZF80jaKekbrGvEsIOaXltNHNjSH2pW9BpNRxykbaW0fc2Ktl+VIIFvIm0Ho/l76zG7OartsoSX68V2LTei3eqPuo7XeBa0T6Q65hXS52TR2EIPiuEoynE11Tzxsfg8STS9ortyHy13jq99KiduaRzi18AtwB1ZjtEgLdeSdslDb6xcVsMEHcUCHGmb3TxE3rSfZ7uI8t3Q5Iq9jo/l1TAdM1IttvV6aePtxrD6U8qSlnfL1b5FaNJnfslvuZ+8RCelCki+S3hEISQaSbcL+WmPrWVYkLSNY9n62W0Oq07KtbGT0+u0je+ar/0mwX34Ni0D3TlHj0k5CbySnmtFRvNV7Ch5aZmS/pHUx+EgfeaUfo1omGi21DHpZ0r5izvnqb1CJbK0vkl/cH0zQgRb9V70WfRW+uniA9X3VlWfl0Mnp3VTKLnp/eQS8Y9WIamTY2kW/0v8Ur+lLZHDcmnOStS/Us9CtzDe3ow0Y/Vpuyyob8fqrPR99Zk0idWH0mpJX9dKYrVHylkJgdb99vOz2CT5LPWs3VakYwW2thXt5k7SpWUVUwO1+9hJf+6e1TPGn/e85+larxvy5je/WdeG/fCHPwzHSQfGNiSXy+mLEELI9LEjfnMtgizLr4gYH3nkkfjCF76gS7Xssssu2JGhdhNCSDagdlO721C7CSEkG1C7j5z05+5ZPTDe0dGBffbZ53FT5mX30cceJ4QQMnPsiLtjn3/++Togvvvuu8+0KbMKajchhGQDajdpQ+0mhJBsQO2efGb1wDghhJBsoEu17GAzxt/+9rfPtAmEEELIk4baTQghhGQLavfkk7mB8WuvvXamTSCEEPIYZF14Wft9S3jsxpdk+4faTQghsw9qN9kc1G5CCJl9ULsnn8wNjBNCCJmdP+lKdrClVAghhJAsQ+0mhBBCsgW1e/LhwDghhJDJ+eZ6C2eCc8Y4IYQQMvNQuwkhhJBsQe2efDgwTgghZJuRZVS2eCkVzhgnhBBCZhxqNyGEEJItqN2TDwfGCSGEbDP8SRchhBCSLajdhBBCSLagdk8+NnYkHA9IYiBXghVHsIIGjFfQU1auABO25OsXwHrULVYSpW/iUP+5+78AiEJYuTxMowa73K1xmqAJJJH+t4sdQH0YcH1Ynq/nrWJneu92vLYN23Phd5ZgOTaCSh1JEMHN5xDVmvA7SigtGIDtu4jDEMN/XwYn72vYOAjhdxThyLkg0vBRM8DDnzwZSRAirDcRjtaQ6y7rvVbcvAJJkuh7Oa6u8CWeGLZjoTSnhMaaIZg4gVsqjB8PKk2Y2Oh7t+AiqAV6/yRIEIdpWuRcOz7LsdAalTBpnBKPm5frQji+o3H99ef3odBfgF/2ND3j33jFiZ6X+HOdufG4G0NN9BY8VJZXUV8zNHYvB0lsUF/bwD/uXouOeWV079SVpq+W2hxUasj3dcHLuwhrDYS1AF7JR9wMNcx4Pji25oHQXDeqeSJxix8122sVtIYqGs7u7FObKw+tQlwZhtvZBROFaXlp563rIalVYHf0wpIyE4dpubJd+c0LjP5P9JxtYritUb1MJtB6toUEBkXPxkgrhmsDHTkXYZKg6Dnj7x3LgmfbyLs2ck5aVgueg5xraxwLugpoRTGqzQhRYnTX4sGSj8FyTsOUfRdl39E4C76j14/U0/S2okTDy7Vzu/OoBzG68i66ih4c20I5n36XNtiRUzvkWEfeRXfRR3fRw7yuAnoKnobxJQGAXiNxCQODJfSVfeQKLvZf1I1WI9Rzcr3rOXpuYW8Rft7FkjkdaISx3qO/r6DxSDj53DOnjM6utJxombAtlEppeVrQU0R/fxGVZoQ953ViTk9B07m4v6jngyhBXzmnVT0NL/5KNI5qM0Sf+Kozr7bIPeVaeS/nJc1zOnKY25HHYGdOj402Qz2mafVdzYuBUg6VVgSpHl05F7EBwjjRY+LPnryHsuSnlDVj0F/0UQ3Stsa2LFRakm4pEzZqQYwwMXBtC0Esy5WkZUXLrwW1Sa6R8HJeysQDaytpHozVT8kJ37FRDxOkOT75iD+35kXIlmBFqbam7wOYXGm8ABnXV12386W0DbYdEQgkflG1PSl0Abatx4yXg8l3AHEAy88jKfYgcXPaNif5Ln1Z3XPSmzp+eg/5b9mwC6lG2PVhmGYd8cg66ZFq3KL3VthAUhnWuKygnsZh2zBqS1nrrBnrV2jdFZ2Q/giAoWasP4e0WjW1Sd7nJGgSa/0Npb4YoBomMH4RTSvtU8SFHjh9c9Vu45fQkLa72KsaEyQmvXZgV217/F33U9+IHowaX9uTqN5AZy5tDezGCHryjtoV9S1BLXGwph7B+Gn/KMp1Isp36/u6363tWvnQI5GUBxBLVoivxPeWjbxjwbj58fYp7lmIuDyAZHAXWF4O6xsR7M5e1Af3QNw1F6Nh6pPuvKP9JelDSTsm8SW5Mlr9u2kaJe6K142oZ7Ge7xV7RU+TCHZ9SO9hGhXVTvGB6FiS79By4MQt9Z3VrOhnk+vQNMBxNY+0LEneRU0tI0mupJqsxy1by13o5LSsJYUeTZ8VtWCFaV9C8twOm+pzI/kqeWD7cFrVtFyJRrsWmlECv3sQdthAK05Qjwws6Q9I3zFXVj9Wg0RtcUdXwgpqMG4OQ7Gr5UXcInm/p7UWgSvpKCHOlTWOsH+p1geJS17iDyk4TtRU++2opWmTvofUBSmzcceA1gVJY9mzNS5n4e6aFvGLLWVS6pBlo2VstcvpGdTPUlaFtfUAD40GQN8C9UvelfzPIe6cC3h5zce41AfUhmDHoR4X/zq9czWPtD8kvpR6vvRAjfdfoyHsnffXfrrd1YcRpxP23J31frndn6rxS75Luu0OKY+W2iT9eLFPrtP8lHZD8izfAW/x7rBaFb2mVewD5BkgDuEOLoDdrMCKQvVfU/JE+mfNEcTl/vE6YLcqaqvYZ8UBUOhM89rL632c2rrxNsuPW2n/r10JpI3JldSn7byWOJJ8Z9omSf2XOOV/FOg14jNJg5QfsU/SLH6aCqjdZCpIvDxqYQKRPHlekbZXdErqajy27J5oXUue/Swg8Uuqf6LLeUTabmo8+Q7VKLkk51haB9t9W22LVAMLaRsgdUXqWVDTNiUpdGv9a9hpmy3tXF/RRd4EWFD29JlI4m1EJtWdsecJ1Th/bO6gtK9uQfXJbqbPbH59nd6jYAKUEKTPdjIWYNlaVyU+O6ghqazXsQZp87Xu5zs0vNhZiGqwrLS9tKTuBzVtR4rhKPz+hemz5Vi/YVU9Sn0w9gyZr66Cs/LvGG0lqsOiG/IsITorWlGqrcJQ4qHLDrGgw4UzslzjluvK4XDarrQqiAvd2m7HXfPT56DKavWD5Jsr+Za0EHctgFn9EFbWwrQ9l+dKeZ6VfCz2qq8sfc514CJB1Smr/olmFDx7rG1L0CHjBK0KQstF0ymM95Xks7vmn9pmOkMPpX05x0NXzhnr4/loJVAtsuWaJH0ulPxUH0v/wCQILNFzL21DndRPEk6PtdLyILY34Ok5KUOiHdI2lzxbfSgaJeElnJQG37bQaDaRSL8h34FOSJnqUh0bDVI7RMcjA0QyDCAFWYhDlKxwrA3v1Gc9G0b7YH5zSPsDa+uRlsdcc0h1R+TQnbcbvKFlaRkbXqY+Ff9KGY1gwwrr2vcR22uhgV1bh4KUYTen/TrpC1U7FqgZ1SDWvJT6JeHkvWcD8ZzdUAlilGwZZ7DURj+ooO516hiExCFpzAUV9UPZt7FexhP0eRVYVxddlf5SS+OVciDHG25J66bkkYR3hx5S2x8eaeozquq91I8oRJLr0LGOaM0jeo30G8XOnBS6MaRfKMekrjYTC/15S++jfT/tm1kwXh79fqL9YymTUuZytTWaD1IWJV+l7qd9p0TbpOaYH6SOSl2RPkuXE6W+Hqvf4mvNxnbf3Xa0XEhf0jeR+l/yQspPfqxvJ4iP10S+9nOl7Gsb59qa71MBtXvy4YxxQggh2wzXOiOEEEKyBbWbEEIIyRbU7smHA+OEEEK2Gf6kixBCCMkW1G5CCCEkW1C7Jx8OjBNCCNlmuAkIIYQQki2o3YQQQki2oHZPPhwYJ4QQsu3Imnxbuo7aFK23RgghhJCtgNpNCCGEZAtq96SzY22+SQghZErQjX+24kUIIYSQmYXaTQghhGSL2aTd69evxwknnIDOzk50d3fjLW95C6rV6havlX7sscfqZsQ/+clPMJNwYJwQQsjkbAKSbOGLA+OEEELIjEPtJoQQQrLFbNLuE044AXfeeSd+/etf4+c//zl+97vf4W1ve9sWXXvBBRfooPhsgEupEEII2Wa41hkhhBCSLajdhBBCSLaYLdp9991346qrrsJNN92Epz3taXrsS1/6El74whfis5/9LObPn7/Ja2+99VZ87nOfw1/+8hfMmzcPMw1njBNCCNlmkuTRHbKf+EWHE0IIITMNtZsQQgjZ/rV7dHR0wqvVam2zHTfccIMun9IeFBeOOuoo2LaNG2+8cZPX1et1vO51r8NFF12EuXPnYjbAgXFCCCGT85OurXgRQgghZGahdhNCCCHbv3YvWrQIXV1d469zzjlnm+1YuXIlBgcHJxxzXRe9vb16blO8//3vx+GHH46XvvSlmC3sMAPjxvFgHB9wvfSzl09PWLb8vgCIAiBXSs/5BQ2XNGowtgvYLkyhE1YSIfnnn9PrXB9JvQLEIUwcwyp26WG73A2TxLD8PCzbhmk1YOUKsHJ5WPkSYDuIWy24hRzcYkHDCLnusn7O9XahtKAfJk5gux68cknf5/s6EYzWEDUDBJU6kjCC7bnwO0uIQ7EhgVfK63HHc+GWCjBJgu5d5iEOEiRBGkau796pC52L+5DrzKE42IniQA+cfA7F/mJqS2cBtu/AstP1fpqjLZQGiyj0pf6prKjCL3mwHBtxEMP3HAS1EB0LexA2I5QHU5vjMEGxv4CoESGJDbp37sH8nbpQW1XXuJvrKhpfa7SFsNZCHMb6ecUDw2nWOBaiZoQ4SmA7ttrZGq7ovRzP1rgLjoVcp4+uXRagMNCD8oIBtS0OIjh5X+0RxA/in65d5uv/fE8ehZ68+qqxbkR9WV8zNJb+HNx8LvVnkF7vdxZheT5aQxXYvou4GaT5mcRahuyObsRDa2DZDizXg5FypeWsoGG0HDnOeHm0WlXYQS0tSraFepggTAyCOH3FCSBNWJwY5BwHsTHwbAtFz0HZt+E5FlbVAoRJglacoKfgwdlgfSbPseHYFvaY24GuoqebLuRcG7Zl6bVC0bNR8l2UfRcLegroLfvYqb+IIEqwutJCZ86F76bpkLirkheJwepaoP/VL46NgvgjSVDwHdSDGIPlnL4f7MyjEcT66i54mNeVxwv3m4fheqjfXkoYyduReohyzkWpw8fcrgJ6Sz6Wzu3AYEdOXxJ/R15eHhb2FNS+3rGyWq2Hmk65V1/Zx7pq+s3nXvM61a/zu/LjaejwXQw3Quw+p6z2e7nUr31FX8OKb8V+iX/vBZ0Y6MhjQVcBBy/qVh+KDbvNLWs4Qc7ds6KitkuaF3Tm1afi43kdOZTGwuVcB70FD9Ugxpyyj1YkeRarD8T3YkPetcfy1tX8GSx7WgZyrqXnHBuIEqNlRLJZ3C8v0bkEBj0FR9NQcG0VP/GJ5Fm7gXcdC0GcoOBaSGvZ5CPN6Na8CNmicuWXAcdHXOqD8Yva3oqWJ/kOPS5abnf1wW4M63tpe+2gjqasFOd4SPJdaHklWCZJ+wF+SdtlaZOl3TVuDiZXhlNdiyRX1nsmfkkLaSLtt2h8qwkrXwSq65DURrWNR2WtansSNFXXLc+DaVZhRS3AtmGFLY3DeDm4jfVI/CKSQhfKppmmReqvXxjvrMblflS8bq3XldDodY0wgWcDo0GMvGOprWJzs3M+TL4DJgxgpEFwHHTnHTw8GqJenosoBpZXIySWgzwimK45iDsGtI14pBJou5DbeQ+Nf15ZfNSR2tAxJ+2jGGg7U/c6EfUsRi1M1Ab1k522SaZ3IVbERW1TokKv+j4Z60NJuv3e+bCjFtaYEqw4RLM8B1HXfDRjg3BgV4y2EjT8Lv3s2xY6kfoRhU6MBglapQH9/M/hFqq53nF/VCILcwoWKtKvKXSpn9WPfkk1eFg0v92/G2Nt6MJuVRHO2SMtP6LHAKJ8N4aDBCKJWn7cPAJbylRR/aw6J2Wo2KPplrIl/UArDmA3R1Xbneqa1HduXttyCSuIjmv4OIAXNfSYdKlalWFYQV0/S1svZUzKjXFczV+5Tu4hZbVtq+S92CLmyLm4c2762S+pne17ii+ssKH3/VfT1TKiGSn9EcvGyqQIK2rC5DqQlHq1biTFbrQ658OLU+2MexbCrg/BHXlEfT4Sp3ata0RodswFOvrQ7FmCsHcnjV/6FaI1SXlA415bjxD17oSoc66mU8p6UurTPrFdW5f2h6QOSr9afNKqwlt7v5ZByc8afAwWXS13cm1j8dMw0opTsTMJ7Lk7YzSUulOCcf3UF8bAigIklSG1T+qfxFUvzdH6K+2EVZA092mcofg4DmG1ajA98zV94le7WdGy0G4npJ/fLs9SNtSf+jzhI+5drOetxoj6P+6cA5NL0yX9u3YfUPJDbBGft9sdPZdE42IoZQ9xlJZ/eYB1fa0/2q7EodartCyFUyIa1G4yFdhxqG276E4zSlST9dFB6pP0XQs92v73egmsJIbdHNG2zmlVtZ2QvrS0z4LWMXkOSgIY20HBijVebQ/L/Vo/VbflmdokqmVS77T9M4m2UxLWlTY4ShA7OY3fdywNIv3j9Y0QA0Vf7ZE2e2Fn2qbHnfO0/20a6TObtIuiMdp+SNsR1rWdl/i1rXVcrG9GSHIdsLrnwG6MaP3Vum+7aX13PW07Sp6tfZMElvpD2isrbOpYg1wnbbRowtySp+2L4A49rPGED/9T9XcYBdV/SdtQbgB22NR0i4+lLRc9t4eXp9og7ZO0NWNtmrfuAU2DUIyqel2xshzrGzHCMb1JvDzikXXIyYNIEmseyLOGtplxiFooPpoLPHgbnMpq1TnRp7wJNC+txiisoKHtuLSxflhDsbZK+1wSXzVMgNoQknK/+k90xBldmT6rSn+usjotT/XhVH9NAk/uIf2RoYe1DOn4jrS34stCt/pN23jVhrE+wlgYjSuo6TknCRHke1TD5Nla2+axPllJHApguBlrvHqdtO2SryZJtdoYLRtSllwHaMBTn1uP3JPeT/oilo0SAs1j8bH0LwqejSAxKNnSr+pAV87Wshg/+Lc0P6SsSN8jV1Z/SfnM1daoHyU/5d5514Id1rWMCmXPTnVYntelf6TP7mlYu1XRci6uln5PXyHtA2n5kzQ5vuajDUv9L+VZyq9n0jEQQezty9toREbL/ohd1rCxV9T8lPxVDfQKmFOUchagt+Dq+IRtpD6n8UhfQJCy6y/dR/1TjOvj/pY8Hmql/tUy0xhJbWuOaD9E/CT9Xun7iB2jsQO5UtoObStEbx1f06zP17bBgNiTRBqflF3xoaRd2ygTaT9HhXBMt6W/10zS9qEWWwit9HqJV+uQ9GO8oqZL7Cy6FirSTwEw4MeabolX+hpilvRpZ4t2L1u2DCMjI+Ovj3zkI5uM/4wzztDytLnXPffc86Rs/9///V/89re/1fXFZxNcY5wQQsg2IwP91hauYSZhCSGEEDKzULsJIYSQ7V+7Ozs79bUlnHbaaTjxxBM3G2bp0qW6DMrq1ekXWG2iKML69es3uUSKDIr/85//1CVYNuSVr3wlnvWsZ+Haa6/FTMCBcUIIIdvNJiCEEEII2TKo3YQQQki2mGrtHhgY0NcTcdhhh2F4eBg333wzDjrooPGB7yRJcOihh25yNvpb3/rWCcf23XdffOELX8CLX/xizBQcGCeEELLN8OGaEEIIyRbUbkIIISRbzBbt3muvvXDMMcfg5JNPxte+9jWEYYhTTjkFxx9/PObPn69hHnnkETzvec/DpZdeikMOOURnkm9sNvnixYux8847Y6bgwDghhJBtRtaxl/X2tjQsIYQQQmYWajchhBCSLWaTdn/3u9/VwXAZ/LZtW5dEufDCC8fPy2D5vffei3o93WNntsKBcUIIIdsVZ599Nq688krceuut8H1ff+L1RMg6apdccsmEY0cffTSuuuqqKbSUEEIIIYQQQgjJHr29vbjssss2eX7JkiUwTzA4/0TnpwMOjBNCCNluftIlBEGA4447Ttc9+9a3vrXF18lPwb7zne+Mf87lclNkISGEEDLzzCbtJoQQQsgTQ+2efDgwTgghZJuRb3q3+OF6ir8VPvPMM/X/xRdfvFXXyUD4pnbQJoQQQrY3ZpN2E0IIIeSJoXZPPhwYJ4QQss3Ig3WylbPORkdHHzcwPZOztK+99loMDg6ip6cHz33uc3HWWWehr69vxuwhhBBCZpt2E0IIIWTmoHZPPjZ2EIzrA44DK2zBSiJYQQPGL0ipAlo1WIWO9Lh8FscUSkCSAJYNRC0NL/8lvFXqhOUXYJe7kdQq6Q2iFkwUwgRNvdY0a/rZ6ZsHu9gBy/Vg+XkgCmB7rr5MEsPt7ITfWYKbz8EqlGD3DMIrFeCW8vpekHMmTu0SkiDSz/JyvPS7DTfvo7FuFJZj6/FgtKbhaivXwS24yPd1IQ4iRM1Iw8o9ywsG4BULaKwbQaGvU+Mpze1FrrsDHQt6YDs2OuaVUejJ63VCa7iq8Xcu7oPtWCjP60LH/DJMbDQuL+/C9p007GgLhb6ShvNLHrxSXo8X+wsan5P3NPzAU/oRNiME1VDDrmnFWFBwEdRCNIea6FnShaAWoDVc0fRGjQidiwfRs7QbA3PLcAue2uR3FjX9+Z48wloLtUfWoHunLk17vq8TfkcJuZ4ywloT5YX9KM8vw8n7E3zbfi/x2J6n521/4vdH4hfLtjU/TZLA1Edgub7mp93RDbieBIKxbFhxABMGsKJmWp7kHn5JvuaDcXxYQR05K4HvWIgTM/4/NgaOZT26uYIFfbWiRM8LvQUXvQVPP9uWhb6ij668h5ybVuulfSV05V2U8y5iA3TlXDTCGDknPb+6FqDoOfAcS//3lXzkXQe+a+v7noKHou/ouT36S+gv59BV8DSe4UaIhb0FBOJ3x4Zj22qHHFtbDzQO+SzhHduCZ9tY0FvQ+1ZbEcrF9HixI4fVoy29bl53QW0f7Mxh6UAJvWVfwxQ8B10FH3vO69C0PGO3fo2nu+jBHytr4ivfdTDYmcdO/UUNt8tgWc8VfBc79RXx8HADQZRoesS+pXM70F3w1L9yH/HtSDXA6kpLj8ux3fqKGr5D0lwP0T3m31YUo+jZGKkH4+WiHsYIE4NmFGOw5CPnOmq7hLUtoOw7yDmOhhlpRljUVZiwGYbkeUfOQXfehS/pdsVvFrpyDvKOrWUj71oo+zbyTnoujI2ek/RLrkoZkbxuv9e2QZqwOE3jlH9zvRUvYdGiRejq6hp/nXPOOZgpZBkV2S376quvxmc+8xlcd911OPbYYxHH8YzZRKQBjJDkSjB+EXHHIJJ8R9quunltP6UdlWPGy8N4BRg3/WJFinuSK6MWj7Wj+S6Etq/xiK5brarWKWO7qMKHyZWQFHtSzRekfRZdl36CfOwZhIlj1WlL2ncpF4VOmEZNbZA2Xz5bYRNOVx/icj9CtwC7VYPximiECaJ8dxrOdrUdELtrUQJVBttGZ33VWHuZmtBtamhEqRYEsUFiSfvgYLSVYH3kAn0LsLIaIupagJJnj+kGMFB09P1oECO0XDR6lmDE7ca6RqxthutYcPY4RO/R4RrE5QE0ogRRrhOJ4yESDUpEe4BI2pN205FEqIUJvNEVCHp2UlukHbRNWkfs+rC2P0mpD63KMEZiFyXP0jwR++v5Xm2/pJ8l9xD/t6LUnutXx4jn7TXeB6sEifpf2rc1jQgr0ak+k/TJ8fWNGHGpD3Z9CFGhFyORDadnQNMn/bRAlofw0rwT+43jomVsVBMHdbmnbamPxNViU5LvRODk4En8YV3bX4kDSQwrbOgGR+L/2PY2KCOepk20XtpyaWetZgWIA+QcS/uUiZx3c3CRwLIsLbsanyz5JLZ6eb2HlGdT6NI2XspFa3APtV/8IRor/up0JFwOdquicUnZLjkGTbgazni5tI8qfU/LQuSXUTWepl1sLHs2op7FWua1rtiOlnk/rMFuDOPh0VD7qJL+JNehrzAB1voDWhbE53Kt2CJNuHE89IsOOxYqTln90l900bB8VINE7zvi96Jp55CU+2EFtbG62KmfNW/W3I+oez7i7oXaL2rF0v8ZK26Wo30bKdtJsVttDgZ2w1ArzXvEEeqlOVpW5V7SJ5O6IDYK6xtpv1V8FnXNxxp0oO53ox6Kj5qIOwdhDS2HyZW1Dy9+l7QlhW7Nk/VWCVarhqh7gcYh7Y342W6MpO2MlOPuBXpc0i7tgN0c0bqvfUApf9LWBPU0zfnO9DkjibRNsMN6aqvkf74DSaFLfSo0Gw31V7utS53lzhrtJuQJSWKUEMCOWiiO9WelrZA6Iboh7bg+r5hE67qU75bW5bRdbfdhk0KPhsnV1yEQDZciKPUwbGr77w0tSzu80gfwS1gTpc9Wor1WnLZpShxo/NKeimaJPq6ohtq+yDF5TpHHI2nj7eYoip6l7ai0FQWE+oynbZi091K3Rcul3ZW2UvoOcTB+TPrwdm2d9kGkD2EPL9f2WdpWe/0yII7hVNfAkc/1IbiN9VrX4+4FsNf+C8nwGjRv/i1qkUGXqaMQjGhbIWGSynrVWKFkmupTd2SFtj3yDFGT/oxfVF2TtqqMINXWOBhrnwYQwVatkrZlXQsIDbStEw2vlOal+hw14K66V/0s/R7pl0ia7Opa9HrJeBuYNiIJTFPaQQuFpImCCTT+xJe+W0nbvEor7SdI3jijK9Uf0u6Jr9Rv8gxdW682Rd0LVSOrbifg5rTs6LWtMQ2BBTuoI+5ZqH0kid83aXsvNthBTXVH0qsaLW2o7ahuqm1hU+OQ/pEUJydupf0cacfdnPpRymc1TLSvoLoq/nJcvUZe8mwmWix6Jf0i+Szxy/1lnMjoA1mQ+sh2UA2k/NQ1f5xWVctxYLnaJ5H7CM5O++t4VctP+7SSf8JIK+0PSZ9D9Kvg2XrPqHuR9nlU0+U51ClqOqQf0e3Jc2k6ZpCUBzDXqqb9L0mO3DyJ8fBooPVGynhXztY+FmrDCPt2Vv8gDvX6kpv2H9zhh7WOSPnr8CytY7bc2UqfQ7XPMlav40IP1tQjzO/wtX7XQgMrClRnJfxwK4Y9uFj7L9qvCWro9G2YRgUPjrS0zyEv8Yfcs+J1j/Xb0mzWfBlDyof4aF1DxvfSMiLkmkMYDtP8lToqfQXpd0n74+i4TKx9XrFX2wop63Gg/XWxV/px4hNPypZlq43SJ5a+kzhS+pSCHJMyk7OhbZQ0c5Ku/Nh4jPhuKqB2Tz6cMU4IIWRG1jpbtmwZOjvTL+WEzc0WP+OMM3TAenPcfffd2HPPPfFkOP7448ff77vvvthvv/2wyy676Cxy2WWbEEII2d7gOqWEEEJItqB2Tz4cGCeEELLN6E+xt3BgvP2zbRkU33BgfHOcdtppOPHEEzcbZunSpZgsJK7+/n7cd999HBgnhBCyXfJktJsQQgghMwe1e/LhwDghhJBtRn5mKq8tDbu1DAwM6Gu6ePjhh7Fu3TrMmzdv2u5JCCGEbE/avTWcffbZuPLKK3HrrbfC930MDw8/sU3G4JOf/CS++c1vavhnPOMZ+OpXv4rddtttSm0lhBBCZorZpN3bC7N6jXFZb/bggw9GR0eHboj2spe9DPfee+9Mm0UIIWQTAr2lr6nkoYce0gdr+S9rhMt7eVWr1fEwsuTKFVdcoe/l+Ic+9CH86U9/wr/+9S9dZ/ylL30pdt11Vxx99NHM662E2k0IIdlgNml3EAQ47rjj8M53vnOLrznvvPNw4YUX4mtf+xpuvPFGlEol1e1mszmltm6vUL8JIWT2M5u0e3thVg+My+Zn7373u3Ww4te//jXCMMQLXvAC1GqPLqxPCCFk5tGNaLdYoB/d8HYq+MQnPoEDDjhAZ5HJoLe8l9df/vKX8TDyJevISLqxjeM4uO222/CSl7wEu+++O97ylrfgoIMOwu9///vNrntONg61mxBCssFs0u4zzzwT73//+3Wfjy2y3RhccMEF+NjHPqZfZsveILKJ9vLly/GTn/xkSm3dXqF+E0LI7Gc2aff2wqxeSuWqq66a8Pniiy/WmeM333wznv3sZ8+YXYQQQiZi4lhfW8KWhnuyiFbIa7M2yK7sYxQKBfzqV7+aUpt2JKjdhBCSDWaTdm8tDzzwAFauXImjjjpq/FhXVxcOPfRQ3HDDDRM21SZbBvWbEEJmP1nW7tnKrB4Yfyzt2X29vb0zbQohhJANMGYr1jozFOgdCWo3IYRsP9o9Ojo64bj8smomfl0lg+LCnDlzJhyXz+1zZNugfhNCyOyDz9072FIqG5IkCU499VTdVGWfffbZZLhWq6Udtg1fhBBCphaudUY2BrWbEEK2L+1etGiRzsxuv2Rd6k1xxhlnwLKszb7uueeeaUwxmUz95nM3IYRMP3zu3oFnjMta43fccQf+8Ic/bDacdM5kjTpCCCHTB3fHJhuD2k0IIduXdi9btgydnZ3jxzc3W/y0007DiSeeuNl4ly5diifD3Llz9f+qVaswb9688ePy+alPfeqTipNsnX7zuZsQQqYfPnfvoDPGTznlFPz85z/HNddcg4ULF2427Ec+8hH92Vf7JZ03xbKBKITxcul7kwBxDMsksOz0s7Fdfclxkyunl0VNmKAJ06gAtoOkNgrL9WAsG1ahBLujG1auADgeLC8Hy8/DKnRoWMW204IbhXB6BsbtdEpl2IWSvvfKJViODRMGei/bd/VzMrIOUb2hn+XVWDMMv6OoC+h7pQJaw1W93u8oIWoGY8m002vDCLnuDrh5H8X+QnqfUh6WbSEOI/0s/+trhvS4W8yjOK9X42kNV1AY7EHYjJDv60Dv7vPRsbAHtpMWl1xnTu/ftVOX3ntw30Hke/LI9ZRhORaqyyvwO4uIgxhxM9Tw5QUDiJsBOuaVUZpT0jjlmLw3sYFf8lCaU9T4d+0vosuzYduWxjuw94BeJ3Tvvgi9e8xFWG+gvKBPr3c8V+8nNFYPaXxdO89FEiea/ly32GWjOLcXbj6nPpRjYpftOHB8F9177aLHxRdCvi/t8Et+yjVJEMHKp/cQX7nFwngemzDUMiHlazzfxx4eknwHLMfR/1IWpOxJ2dFyKGXOL8JKIiQG8B0bjmVBVj4OIoPYGHi2jZxrw7MtdPoOip6DIDHwHQuVVow4AUZaETp8R8PkHBtdOVf/y7HFXXns0luCYwFdeRdl38Gcso96mGBpTxGeY2mccry/6KOn4KGr6GFBbwGLuwpY0ldEnBiEscFgyVdbYgPsNifNj7zrYLe5ZcRJgmozwtK+ksbXV/Th2NZ4eS96kgYbD6ypIYhi7DWvU+Pt7S2gI++iM+/hsF360Fv2Ma8zj517i+gqeOnn7rz6YqQeouA7ep/BzjzKeQ879ZfUlqWDJew5rwNLB0royLlYPdpCKPXEsdFX8lH2Xb324fV1rKkHWNhTQDnn4oBF3Xpu6UBZ0yZlTuKQfOgr+1hbD/W4+KbairCoK49WlGi4MDEY6MhresXfPXkP9TDGnHIOa+sBEmP0OvGXhMm7af1J/e2m17m2HrcsaBnQ+iV1KEw0PwXJb0m/fPJtC7I0tsSZwKDgpde6toWRVrqxhnyW83K9/Jf4xf+SJolL7J4K+M01mRLtFhxftVoKvxUFMH4JTaeAJFeG1aoiKfbACptpWC8PKw7gJ4H+L7mW1h0J40UNBH4HkmK3tr1SJyKpT4mBEQ0P6khyHUjkCmmfC10I8j2w+hfCOD7s0thAkO3A8nwYLw+nqw+Q9l/afvkvuDkk+c60nha6NO51jVjr8ZrAwXqrhGqQALaLgmsjiA2SfJeGFZqxgRU00PA60IzSei1tQi1M4NTXoxrGWs/XdyxR3Yi9osYjuiBxSdtbaUX6PkoMHqmEqAYxGlGCvqKrx8OeRRhqxRgKgJWhj/WNGMurISxj9D4rqy08NBpgdT3SNkM0475WUa+Vm0t8xfoavZcdNtQ/4le1N4kQODltn1bJ9SZt1+5Z19T7rI7zar/YJTbJsRseHMJ9DR9xsQct0b/EIOpZrPeWdm9NLVKdakQGxs1pWzticuqzVbVQ27940f7ariZ+Se0UmyQfRf9MrkN93ggT9YktBoz5Ou9YqsOic/I/KvTq9QNFF4mXR8vv0ONO3ILbHE77im4atxWHMPkO1W1pZ6WcSvn0TDRmZ4LhEBpO0mTX1ql90i6LnxEHML0L076mZaPkGLVVzjVLA0gcD7aJ1U6575qWhbqXlsM19Uj7FJKehlvCsNMFp7YOUe9iLWtuaxSjrVjLktig5ch4sFsVxB1zVEsqXrfeN+yYi+WVFqyopXVFTmp/GMDaRgSRI8kLuU4kRPJNyvhOGNJyJ341XgG55hBGpWyP1Vs5l0eENcWFMI/8I607YV1Piz+k71T3u1Ezad3ptVvocA3qkdF7jLRizTe9b6FLy6TYvaKeAK6Ph0dDdOZsxMVe7Yu76/4F4+ZRtfLozKX9sbA8iLjcr/VG64uB2rre6YKVLyHxCkg6BmG1aqqloZOD3RjRNFlhAyur4Vg9HntGqA9r3kf57jSdcahlXvty+S7tm0l+qx+1v5dP2ykvr+VGy4/jaVsjbZSUE0WeFfyiTNOFHdTSY/KsIWFyZZh2/3IWaLcMim/42tzA+MDAAPbcc8/Nvnzff1K277zzzjo4fvXVV48fk18K33jjjTjssMOeVJxk6/R7U9otZVwa+tjJwVgWnLCOvAn0mLTJ8l/qmJyXtkXC56xE2yAp/3JOtECuFW2WuuFZ0HgSqTP6HB+mdSnfqfXICmoY8GNtG1RP40CfvUTX7PpQqo+JNMi2aqa02WXP1jakp+Dqe0faYr+oGlFwLb1ObRpYDKxdhqQ8oPVbaBlb2whp86Xdljpst2roLaRtp1Mf0vbIdPRrm5IUeoB8B6J/3ann7VZV7ZN2W5D7mM4BHTOQ42UrHG8fErGpMQIzZxfto8iYgnwuWDGc6ppxLZB+vtWsaPsqPnDXP6hpiLoWwBpeqVoi+pSUehF1zUPetbTdk7BR/86q6fJZ2jMZb1DtW7i7Pq8k5X7YzYra04CnOlH202dbu7M3/S/+SiLti2keWWncfUVPNV2OhYO7wwpb2h8rWSFQ7Nb2UX028oiGUa0fe44W7U0LVaL+kDyU/9J2qx8bI5r34j/VZNvVZyBpY6XdbFhp+9Lhpe27tM0Sh5QHSauUQSlv4lfpE9phUzVZyoj6XsqW9CUqa1Q/2s+3cb5Ty5CUE3keF/9r+y75HTZVXwO3oOW0yw61rLRiA7u6RvtAo620Xye2yr5Hrcqw2qy2jPUJJY1SX+R/rdCv+SqvrlyaLs3zYh88JKqVftxCMzJqb09rDVzHwohVVM1zK6thj5Vduzmajil4Y2NRJtV500i1x62t1WukDyO/6pFyE5cHVP9HjQ+nsgpxqU/rp73uQfT7CUZjB7GbVw0UH/fkHfTmnbTvaqf9cKk/2scVvxa6UKwsR2il9UXKmPSHpG9e8qQ/m4z3d6SNkPZAfCHxS79CyoD0MaR/PBrEWn+l/qlmSp+9VUNJ+mVhA97KuzFgN7BstJX2CR1P+6nij2J1pfaholK/5rX0z+T+knbJ11ripPoseSvP5WP9MTkvZaQy1ueRfotv0jE2yVPpw0h5ERunAj5372AzxqWReM973oMrrrgC1157rXaAnoiZWueOEEJ2ZNq7Y29pWLL9Qu0mhJBsMJu0+6GHHsL69ev1fxzHuPXWW/X4rrvuinI5nZAhA+kyS/nlL3+5DtjIUh9nnXUWdtttN31O/PjHP4758+fjZS972ZTaur2ytfrN525CCNmxtXt7wZ3tP+G67LLL8NOf/hQdHR3jG6nIenaFQvotISGEkJknEXHeQoHWsGS7hdpNCCHZYDZp9yc+8Qlccskl458POOAA/S+zlo844gh9f++9945vCCmcfvrpqNVqeNvb3obh4WE885nPxFVXXYV8Pp2BSrYO6jchhMx+ZpN2by/M6oHxr371q/q/3Rlq853vfOcJ16sjhBAyfXCtM9KG2k0IIdlgNmn3xRdfrK/N2iBr6WyAzBr/9Kc/rS+y7VC/CSFk9jObtHt7YVYPjD+280MIIWR2QoEm42WB2k0IIZmA2k0mlAfqNyGEzHqo3TvYwDghhJCMIJsW21v4jXTMb64JIYSQGYfaTQghhGQLavekw4FxQggh24wxW77WmYYlhBBCyIxC7SaEEEKyBbV78uHAOCGEkG1Gd7zm7tiEEEJIZqB2E0IIIdmC2j35cGCcEELINqMbe3ATEEIIISQzULsJIYSQbEHtnnxs7CgkEYxfAGRWo0kA24EVBzBeDsYvAbar7+UYLAvGcQE7dY+R9XBtB7Bs2IUSjJvX95ZfgHF8oNCZ/o9DWLk8kuowLNfTa63eebBLnUAUwuoahJUv6We7owfR6AiSZh1JFMIt5WHlCjCtBizbhu3YMFGgcUSNlh7zO4pwfBe25yKo1FCc2wvbd5GEkZ7zinl4pQIsx0ZhsAeFwW4UBnpQHizB7yzqMYm3NLdP43DzPjqXzNPj+b4uJEEIEyfp9X1dKA126Dn53LvnEnidJX2/6BmLkesuI9eZ089eKY+eXebCkfgWdqB3jzkIa00U+4vo3HmuvuIwQq67A50Lu/S6jsVzkO/rRLG/ANt31B4JX+wrYMmRO2G35y1Bkhg9JvbOOXAJwlpL7Ssv6Fe/OJ6Lrp26kMSJ2t9YPYzi3D707LVY0z7/mfupf3I9HQhG63B8D15HEeVFc/X+kv7aynV6rdMziK5dFiBqBuqT0uIF4/eRe8q3cpJntuOojyXPJK+dvrkwQRNJs6blpZ3v7fJimQSWn9fyZQUNLSd2cwRw/LSsJVEa3EpfsudNLUzguxbiBHAdoBpECBODoWaMvJeWSfncW/Dg2MCcko+dugtY1JVHV95FR87Ra3oKqS1510ZsAM+2UfZdfY20QhQ9R1+Lu/J6TN4nxqAz52JeR16vleskzpXVFlpxggUdeezZX8J+cztR8B10yCvnYr9F3egt+7h/XQ22Zem1gx05zOvOY7geIuc6ao9c01XwsctgWcPss6ALS/qKaoNjAUt6i6iHMXKujcGSj7nlnB6LE4O53Xm9Vz2INZ5n7NKHpQMlfV/yXXTmPQyWc1hdaWFNpYmReqi2SPj+oqfpWjpY1rTtO68THfn0e0FJ8x5zOjT9z917DnYfLGO4GWJhdwGtKEYrSvRcwXPgSHxhrP/l2NN26lHbJQ71ed5Dl9gYJppe8b1np2HFl5Kvks/yWcL7joVQTgDYqSuPkuegveWwY1twbUvvJf8lLjkWG4OcxANLr5cyI//L/qPNudjTjBL9L+fkFlJWyl5qz1QgdWRrXoRsCa1cJyBtpei1m0OSK8NYNgrBiLavimXDeHkYvwhju0AcwYpDtHJdaCVAKzaoJY62y64F1EtztP0dDWI9J+2NxJEUe1CJLD0e9Oyk91vfjNEa3AMm3wHjFWAv2S/tG9gO7GYFSdAEasOA6HWSIO4YgHE82PUh5CTasIlmktbPIDbadreitJavMSVt26S9qMWWpkfeDzfj1JZWnLZhogmOpccfjDrwyGgLlVZ6TF6iDY0oQTVIsLIW6f/uvDemJwbDzUjTmbZlNpZXAj033IhQcC0NL9fLKzTAUCPCnFIOV96zGkONWM/La00t0GtXuf0YaSVolgbw93VNJH4JzugKJOUBvc96uwPLRkNNWxQDa+pRmvaxtm40SMbTLW3ZspEm+su5tB3Jd6g+VcMETmWVHit5NtbWA207RQJX1BP0FV2N52F3UNu0ldUAkV9GT8HBaAiNW/p6ieVASklguZpW8b9lWdo2StuadywtI5JflSBJ+3EW0IjS83YcqiZLmVNsF1HXPC0L8kWgHk9iJGPtsKbBdhHbHmrG0/uJr6UsSRu+trwYw16PHpf2WPqfSb5DfWekTNWHNA7Ji2Zk0AgTLcuSxuZY+VlTjzV90sZbSaT60C4jiVfEkMnpPeN8J1bVQiSlPkSxwbpGuoSV1arBilrqA8mXUeSxshZiTtlH3DkXw04X7MYIGoW+tNyO+UK0J/aKmg+aTjcHu7oWBddGkBis9fq0HklYyae6U0xdVlun90n2PlLrqfSFRvP9Wu9aiw/SMiq+Xx97en3L2PpZ4hWXDpZc1CODpuXDty2sqYXoLbiIcp1Y3OWp76VsR4uequUnKfXq/eRlt6pw4paWQSnXThKqb6UNEN9KPdO6n+9Aq3M+io6BH9YQ9S9F2XcQdy9AYazfZbwiapGBCeU5QepzAjtqoVKah1a+J217xspJ1S5quajYRe33BcU+WFJecmk7YgpdMLly2nb5xdRvY+VdbJK4okJvel/pL0bN9FllCqB2k6kgkiEGeW6G0fYejqdtmZbtxCB2ctpuyHnZ8FPaS9HBwO/QMNLOSNtrGaNtWMPOQ6XT8VQbtT9Q6kOrPAehW0DieEjyXXoPaRskjrrfDUv6AzIGMNZ2NYyjnwthBYMFB50e1D7RgjGJUu3ozjvaHsg9pC3VZ7b+RfrcJnpnhY3xNt+urEZouVpP5VptI10fiFraV5A6L/Va7it4i3bTeKWNiHqXaJuobfLYeISVl/YjgV1bj6bMYTQJnFZV/Rl3zU91zM/ruIXqkF9Q7ZDbilaLrdIXcGrrYNavUF+p/V2DKFVXqK3S7kib1FlbkfY1GiNpG+tYmF92NR/iodXqx0bfrijWVmkYaV/F1wUrhtWqal6mz7OpTkbdC2CPtWV22AAqa/X9nJILZ3Sl+k38ET1yH7wk0DSaXAlOcxTh8n+lmmg56K6v0P6K+EQ1tXv+eDolzfJf4uu1W0hyJe3vKWPjOKJv4m/RAbFV2tEElt5T9Fn8KmkVjZe2vP1UIs9ZTTsdGxLN03RELQTdi5DkO7VfJ0i8qu1jYcQPWswbQ2n/wCTISR8tbqVtvvQLWzU8ONLSPMw7NgajdejNO1rOVSO9vNYBSbexrNSXYQOuY2G13a39USmXUk7zcQNrG7GG1WstR/Va7lMJYlhBTeuCjCWI5omx4nspZ5JG6Uvv1OUhV12Fht+V+lP6PJ29sMMm7KCm/UHRv86cjblWVe3r9GVMwaBZnqNlWHWtay68FXfqcSdqqnZKf0b8kR95GHk3fVaV+ze8DhSSpj7rah+6Y1B913BLWnaljM8reyg11o5rryD9JUmrZyIMtcaW43R9LbtyXPJSwksZlLZF+tNS7iVNUb5bfS7lSPsncUvbp/VjfaKwc57+l76f2DLSirWfKC8Z+5D+aOjktFxImtY1Ir2+z2qob5OxciD5MhSl/RctUyb1veTPVEDtnnw4Y5wQQsg2w2+uCSGEkGxB7SaEEEKyBbV78uHAOCGEkG2GAk0IIYRkC2o3IYQQki2o3ZMPB8YJIYRsM0kS60/qtljMCSGEEDKjULsJIYSQbEHtnnw4ME4IIWSbkbX4YcVbHpYQQgghMwq1mxBCCMkW1O7JhwPjhBBCthljYt0QZ4vDEkIIIWRGoXYTQggh2YLaPflwYJwQQsg2o8ujbOmMcS6lQgghhMw41G5CCCEkW1C7Jx8OjBNCCNlmKNCEEEJItqB2E0IIIdmC2j35cGCcEELINkOBJoQQQrIFtZsQQgjJFtTuyWe7Hxg3xuj/0WoNsGxYUQArasG4Yfrfj4E4hpVESPwYdqum54zjAtUa7MRBUq/B8kJYQQIkEYyXxinXGMsGbEduBCusw0QhTBjAjqHvgZzGE9fqcCpVRLUGknoTVmwjbLRg2da4rY7XgGk1YYImas1Aw8WtEFGjpefjVgCTGMRBBCdJ4FoWGq0ASaOFejPQMEkUwXJsRHK82ULQDFANQhSaLYRj79EK4IyFteNEw6PeRKUVavhGEMJvtFAJQiTNII1LPrfSe0RBCLvZ0riSVoCgFcJzHMRyLAzV5jAIUYuiR69pBbBtG0EQIg4jFBotmDjW8LKqgsTZDCOEYQQEIaIwRD2KgNiMxyH3yzVbam9l7J5iq2XbGB2zT9JjJwk8x0Kr4Wu4gqRN0tFowXNsWLaDJAo1faH4tNFCUGug1mihNeZHu95EvdlCXG+i1Uh951dreh/HGNhRBL9WT8uB7cBE6XVupZaWF6eqZQKOA6tZQ2LysBtVxCYPK2wgMUUtSzCJlsFKlFbFWpggcCxUgxiRYyOBQa0ewQocOJaF2Bj4joUgNmiGaTprzRiFxEv9nBjUghj1ags1K0BigHqUoN4IUXVC1JoRqmihUaugVrFQb4Wo2gFqtRCObaFeD9BoRXAjT8NrOD9Go9pE7NrwIw9+5Go8zVoV9cRHK07QrAdo76dYzyVohjFa9Rrc2EVLfFktoC7HalUEco+ajWYtQKsVoVFNULdDvYcdumg0Q9SNr3G1ogS2bSGoV9GsWXBDia+KME7QqHpo1lqwQhvGlRINGEfibSFsSHgXDU/sqKJWqaBRrWs89Woenm3p8XrVRuLaaDQjhI6FZq2Oej7ROBqRB9t3UIt9hMbotWk8Nc2bXOzpddVigno10PTZlqXxxQZIjEHVtDQvql6U/nfGfB24mk9V46FWDTX/xCYte1IdwwS50NX8a8QJfNsaPy+fJS+q0h5Z0OPyWfK53ZpIOWljtRyNR47ZUo8qlQlt46QRh9jiGGNpGwnZNO3yWalUkPPSJXqS0NH207g52K0qYLtA1Ez/C7YLYzuwghrghmh5cVr25Y8UO0u03UcrAcKggopttP5I2xc1KohjD9UobWfhO3CSEJWWBT904VeqsII6jJ+oplthAsuLEYm2ezURMQB5beOdahVJYBBbo3CkDQ19NKO07a4EaTsh+i0ESaLteT5yYZIGKibU9n80jFCJfLQXJxKbkrE2tlZpoWoFyEUOogR6fehaqFZDuLaFxLO1DZH/ch8JL21ntRWjYvn6eTQfoVapYzQfolqNNH4xadTyUa00kXiOtvHVSh526KARJqg1IkSuhYrx0YwNRhNXw47mAriVKpIkj2oQwAkcVJtxer4aIfIs2C0HtUoTuTjNK4lH2jCxu1YVTWqgWnEwGrRQqziqM6NWBdXERS50UKvWURlNNC9rkSijtLGAI22gpjHAaClGpR7CSPvYijFqHCSWoz6PPRuh9CeCGMZz9L6SD9IOt6TNrlRRCUZRdAMkfoRKPUIuctMyENmwvbTPZ8UR4lwCO2rBrqVtaRI5aDqh2pKrp+VI7tuMEoSJSbsCOdHzsfwH1H+SP1ImpVxJ2Y0DaHkxoaXlLnJtSLMfI0ANvr6vtGLVWuPZqNZDjNoOmnA1fyRNca2CSlhM0695Xceoa6MSunpPL3SARkVtDp2c5oGUmUoYq3/EZ5UQ8CpVVHOjmr5qpaX5Jlo/anwEcZLWK8douIo3qteLLnqmigoMYi8t35ZlIapXUHF8FFsxrLCp9bMSl7TeaZ1oxIikb2NbcJ0QTTun6RT/j+dPYjR8pSnlNsRoIUq1T+qFSduL0Iq1ny11sN2n8qMKEvFnIGUowKjvoVqTsutpXKNBFZEzCrtZQZCz4CKBHTa1HZFybrcqqLRycJwItqQjKsCSPv3oKBrGQYgQNeNpX8yP5dkih0qQqK2xaY71w5oI3VDjtqTPZ7tpWZI2Qz878gAwZntB47DiELEbwA1qMJalnyvyHEPtJhnSbs9EWt4jA30vZT7xQm1jEj9tm23fTtvDsQ5ky7HgxS00RItqEUat9PlGwkhbJfFImwxpk+NQ2zFB6pyVxFp/Iz+BE9bRsAPEzbS9k/Za6q+0o9JWSFuU5KTxSNBMRAvSeittkIwPNHwLOSvRvkYc2siJxoUWksjV5zkh9EbhNCuwWhW0MIqgUtWxhoY9ilxQhStthVtJ67mMLfixaqUVB0hiT+t+kvjajkZeBSICtuhBtYag3oRXqaCeFBG2KoDj630je1T7MHG1hmS0AuNFGqf0bZr2qGqXtGtVdxSjtSqSag2mUtHzjnyW5yKMwg+qOu7hVFLNcFrpvaRNlmcv8bU855rRUfVxTvROxjxEv+WZNg5hNSuotlwkVghH7KlUEI+lR59zJV/k/n4VlWRUtUd8G7mjsMfilnZV8i2RZ7laHXalgtAUNe2SVtFEzT/xSxJp/0quFx2RuOSc/G8FDnJhXX0ofg5tH14SoGn5CJCWQ9FgJ24hdnKqzdp/MJG25S15cPMd7QdJn0qukXImz96wQ71GbIpR1DZZyov0K0QPVUObsT6LaV8ogL6k3ZeyLG26lAHpR9acUYx6UvYdjCYVtOKcXiue9aJUy6UOSFlU/7VqqCBEJDaZtK8o9omuVAIPxTj9HLipLYFtUGkkGLXrWnalXyM6WfBS3yWxj6odjeuS5Gs9LmgfuGocjFaqCPOjGlbKsfQLRN9yrYrWA+lbSFdU0q6a53iaZrtWQyU3Ckd85QbqR61T9Soa1qi+91BHwzMI4gYqoYdRyctcqqXSV5B7SfhKaxSFROyxUYik75H2lyqtBL6foFo3GI0trcMVGb/T9iFRXQ+k/Fijqp0yLhcmefWjJ+UokP6MwahjaZkWvxelr257Wh6k7KfjKAmidp8xjLUf7QaOPttr29aMNB/8sK6+lP699HmkPy6+liZQ+mPtz9KX3rBtnDT43D3pWGbSc2l28fDDD2PRokUzbQYhhMwqli1bhoULF25zPM1mEzvvvDNWrly5VdfNnTsXDzzwAPL5tNNCyIZQuwkh5PFQu8lshtpNCCGPh9o9+9nuB8aTJMHy5cvR0dGh30bNJKOjozpILxWjs7MTs5ms2JoVO7Nka1bsFGjr1iNNvszkmT9/vv6KYzKQwfEgSH81saX4vs9BcbJJqN3bd5uYFTsF2kqfzoaySu0mWYDavX3rTFbsFGgrfTobyiq1Ozts90upyMDPZMyKnEykcs52McmarVmxM0u2ZsVOgbZuHV1dXZPqf5n1zZnfZDKhdu8YbWJW7BRoK30602WV2k1mO9TuHUNnsmKnQFvp05kuq9TubDA50wUJIYQQQgghhBBCCCGEkIzAgXFCCCGEEEIIIYQQQgghOxQcGJ9GcrkcPvnJT+r/2U5WbM2KnVmyNSt2CrSVEMJ2JnttYlbsFGgrfZqVskoIeRS23ZMPfbpj+zUrdmbNVjI72O433ySEEEIIIYQQQgghhBBCNoQzxgkhhBBCCCGEEEIIIYTsUHBgnBBCCCGEEEIIIYQQQsgOBQfGCSGEEEIIIYQQQgghhOxQcGCcEEIIIYQQQgghhBBCyA4FB8ZnKVnaEzUrtmbFzqzZSgghJHttd1ZszYqdWbOVEEJI9trurNiaFTuzZishZGrgwPgsotlsIooifW9ZFmYzWbG1VqthZGQEYRjOajuzZmtWOxRZsTNrthKyI5MVPcySrVnSwyzZmlWdyYqdWbOVkB2ZrOhhlmzNkh5mydas6kxW7MyarWRq4MD4LOGOO+7Av/3bv+FZz3oWDjjgAPz3f/83li1bhtlIVmwVO5/3vOfhOc95DnbffXecddZZuOuuuzAbyZKty5cvx5/+9Cf86le/QrVa1WPSoUiSBLOJrNiZNVsJIdnTwyzZmiU9zJKtWdGZrNiZNVsJIdnTwyzZmiU9zJKtWdGZrNiZNVvJ9GEZfj0y49x///046KCDcNxxx+Hggw/G7373O/z5z3/GYYcdhtNOOw377rsvZgtZsfXBBx9UO1/zmtfg2GOPxXXXXae2FotFnH322Tj88MMxW8iSrbfddhte+MIXoq+vD7fffjue/vSn4yUveQk+/OEPjwuKbc/8921ZsTNrthJCsqeHWbI1S3qYJVuzojNZsTNrthJCsqeHWbI1S3qYJVuzojNZsTNrtpJpRgbGycxy/vnnm+c///kTjn3jG98wz3rWs8yrXvUqc/fdd5vZQlZsvfTSS9WmOI7Hj/385z83L3nJS8zTnvY0c+ONN5rZQlZsXbdundlrr73MBz/4QfPII4+Yhx56yJx88snm4IMPNm95y1tMkiQarv2fdm4/PiWEZFcPs2RrVvQwS7ZmRWeyYmfWbCWEZFMPs2RrVvQwS7ZmRWeyYmfWbCXTD78OmQXEcYxHHnlE17lqc/LJJ+tLjl988cW6DtZsICu2BkGAe+65BytXrhw/9qIXvQjvfe97MXfuXHz+85/HqlWrMBvIiq1in9j6xje+EfPnz8eiRYtw3nnn4fjjj8fNN9+MU089VcPN9DptWbEza7YSQrKph1myNSt6mCVbs6IzWbEza7YSQrKph1myNSt6mCVbs6IzWbEza7aS6YcD4zNIexWbBQsWqODdd999+rm9ucYb3vAG/WnHf/3Xf2Ht2rUzaWpmbG3bucsuu6C3txd//OMfJ6wXJeuJyc/Rfv/73+Ohhx7CTJIlW4VSqaT5LT9Batvf3d2Nt73tbWqn2P+zn/1sps3MjJ1Zs5UQki09zJKtWdLDLNmaJZ3Jip1Zs5UQki09zJKtWdLDLNmaJZ3Jip1Zs5XMADMwS32HR36eseHPdwT5Sc8+++xj1q9fr5/DMBw/N2/ePPOlL31pRvyWFVuDINDXhrz85S83CxYsMLfccsvjwu+yyy7m4x//uJkJsmTrhgwPD5sjjzzSvOxlLzOrV6+ecK5SqZgDDzxQf44002TFzqzZSsiOTlb0MEu2ZkkPs2RrFnUmK3ZmzVZCdnSyoodZsjVLepglW7OoM1mxM2u2kumHM8anmbvvvlt/qiO7S5977rm46qqr9Pjll1+u32AdddRR+tMo13X1eKVSwbx58/SnPbR149x555046aSTdGfp97znPbjkkkv0+I9//GMsWbIEr3rVq/QbwPa37GEY6jfwCxcunHafZsnW4eFhnaGwevVq3bG5q6tLf270y1/+Ep/85Ce1bLYpl8v6M7R//OMf47bTzuz6lBAyEWr3jq2HWbI1KzqTFTuzZish5FGo3Tu2HmbJ1qzoTFbszJqtZBYwA4PxOyx33XWX6e7uNscdd5x53etep99K7b333ubcc8/V8/fee6/Zf//9zc4772y++tWvmiuuuMKcccYZpq+vz9x///20dSOIz8SnJ510kjn11FPNS1/6UjMwMGDe+9736vlGo2GOOOII/Ub99NNP1w1L3v/+9+s1f//736fVp1my9W9/+5vZd999za677mqWLFliXvGKV5hbb71Vz/30pz81uVzOnHjiieaee+4Zv+b1r3+9Of74400URbQzwz4lhEyE2r1j62GWbM2KzmTFzqzZSgh5FGr3jq2HWbI1KzqTFTuzZiuZHXBgfJqQn0W9733vM6997WvHd7qVRvdTn/qUDnx/+tOf1mPyU583vvGN5oADDtAB8kMOOWSjP/OhrSlnnnmmeeELXzj+s7M1a9aYb33rWyafz5t3vOMd426SLxiOPfZYs8cee5jnPe955q9//eu0+jRLtj788MNm7ty52jn485//bL785S+rPZ2dneZ3v/udhvnNb35j+vv7zTOe8QztVEi5LpfL5rbbbqOdGfYpIWQi1O4dWw+zZGtWdCYrdmbNVkLIo1C7d2w9zJKtWdGZrNiZNVvJ7IED49PIi170Ip0tviGrVq0y55xzjlm4cKHOEm+zcuVKPTc0NGRmgqzYKt/0yVpRG9Jqtcxll11misXihDXC5JthsbFarZqZICu2XnPNNeaggw4ya9euHT/2z3/+05xwwgnambjhhhvGv9j54he/qOn68Ic/bO68807amXGfEkKyq4dZsjUrepglW7OiM1mxM2u2EkKyqYdZsjUrepglW7OiM1mxM2u2ktkDB8ankfPOO0830JCf9mzIsmXLdKH/Y445ZkIFnkmyYquIm2yScf311z9uA4WzzjpLl6t5bBpmiqzYKkv42LZtli9fPuG4fH7Na16jv2S47777Jpxr/wpiOsmKnVmzlRCSTT3Mkq1Z0cMs2ZoVncmKnVmzlRCSTT3Mkq1Z0cMs2ZoVncmKnVmzlcweuPnmNPK0pz0NDz/8MC677DKsX79+/Lhs8PCa17wGv/71r/HQQw9hNpAVW/fee2/dmFQ207j33nsnbKBw7LHH4p577pkVdmbJ1sMPPxwHH3wwvvjFL2J0dHT8uGwC+4EPfAD9/f26UYkQx7H+tyyLdm4HPiWEZFcPs2RrVvQwS7ZmRWeyYmfWbCWEZFMPs2RrVvQwS7ZmRWeyYmfWbCWzBw6MTzHtyiYceeSReN/73oezzjoLX/va17B8+fLxc3vssQee8pSnYCbJiq0b2rnffvvh7W9/O6666ip8+ctfxm233TZ+brfddlNbkySZIUuzZWubwcFB3b37//7v//CjH/0IjUZj/NwhhxyiNl5//fX62XEc2rkd+ZQQki09zJKtWdLDLNmaNZ3Jip1Zs5UQkh09zJKtWdLDLNmaNZ3Jip1Zs5XMHtyZNmB7RyqbLFnzhz/8Ac961rNU9KTR/tSnPoVly5bhJS95Cfbdd19ceOGFGB4e1m+yaOvGET/Kt3ltn0pD96pXvQpveMMbtIE799xz8eCDD+qxAw44AJdeeql2LGayM5EVW6VMiq1im23b+MxnPoP7778fn//851Gv1/HmN78ZxWJRwy5ZsgTz58+nnduJTwkhj4faPXlQu6eOrOhMVuzMmq2EkIlQuycPavfUkRWdyYqdWbOVzFJmei2X7ZkwDPX/SSedZHbddVfzhz/8Yfzc//t//888//nP191v99lnH7N48WJzyy23zIh9QnvH5tlo6+rVqx+37tNHP/pRs2DBAvPjH/94/NgvfvEL3TyhVCqZvffe2+y+++7T7tONkRVbxcdi69VXXz1+TGw84IADzHOf+1zdAEbKR0dHh7nrrrto53bkU0LIo1C7Jwdq9/SQFZ3Jip1Zs5UQkkLtnhyo3dNDVnQmK3ZmzVYy++DA+CQim2Lcfffd4zvdtpGNHd7xjnc8bvdoEZ7bb7/d3HzzzbrD9HRyzz336O67//jHP2a1rXLPPfbYw1x00UXjg/fCgw8+aD71qU+Z9evXP2636Ycfftjcf//9075Jiex2/IUvfMF84AMfML///e9NvV4ft/XMM8+cVbZujP/7v/8zc+fOVb/K7twbfjHyxje+0Rx22GHmFa94hfnb3/42o3b+5je/mZV2rlu3TutJFmwlhDwKtXvyoXZPH9TubYPaTUg2oXZPPtTu6YPavW1Qu8lkY8mfmZ61vj1w++23461vfStGRkYwNDSky2PImlZt2j/rmGkku5vNpq679Je//EXX3vr3f/93LFq0aNzG9k+nZhrZFEM2T5CfvsgSNIsXL97oT2ZmS/4fddRROOigg3SDD/HlT37yE+y///6zKv+Fv//97/jWt76F1atX46lPfSpe+MIX6lprwtVXX40DDzwQPT09jysHrVZL/e2607MC0wMPPKA+lM1oZD0w2XymzbXXXqu+nQ12CvJTrec///k44YQT8I53vGPCz7Nmm62EkEehdk8+1O6pgdo9+VC7Cckm1O7Jh9o9NVC7Jx9qN5kSJn2ofQdEZl/39/ebM844Q2eL/+pXvzJLly41H/nIRzYa/sILLzQ//OEPzUzy7//+7+bNb36zKRQK5rWvfa154IEHZpWtMjv8bW97m9rY/vy73/3OfPvb39ZZ7Y+d0f75z3/enH/++WYmWL58udlrr710VnAURXrsKU95ivnKV76y0fAzaeudd95purq6zDHHHGNe+cpX6vujjjrKfO1rX9to+H/9619mJrjtttvMwoULzfOe9zxz+OGHG9u2zXnnnbfJ8DNlZxvxn2VZ+lOts88+26xYsWLW2koISaF2Tz7U7qmB2j01ULsJyR7U7smH2j01ULunBmo3mQo4ML6NVCoV8+pXv9q8613vmiAu73nPe8xLXvKSjf7sY+edd9aBSbl2umkvR/K+971PlyeRBjuXy+myDrVaTQds2wN3M2mrDDA/85nPNJdccol+fs5znmMOOuggHcjdZZddzNvf/nbz0EMP6bnh4WEd3D3iiCMet1zJdCDrscva63//+9/Hj73mNa8xH/zgB83rX/96Hcxv2yoD+jNlqyzdIvacfPLJ48dkKR2x9elPf7r54he/OCH8Zz/7WbX1L3/5y7TaKeVP1rk//fTTx8vrt771LTNnzpwJPp5pOzdElkJ505veZM466ywzf/588x//8R+P+/JmtthKCKF2TxXU7smH2j11ULsJyRZ87p4aqN2TD7V76qB2k6lgdqztkHFKpdL4khmCLJnxzGc+U5eCCIIAYRjqcfkiore3F7/97W9x0UUXoVwuz5jNxxxzDG655RY85SlPwe9//3v8z//8D/bee29ccMEFuuyHILZec801M2KrLC8xMDCA4eFhfOITn0Aul1Mb165di/e85z36E7rvfOc7amtXVxcuvfRS/L//9/90uYrpRpbOWbVqFf75z3/q0hjnn38+fvzjH+v7devW4atf/aoeq1ar6O7unjFbfd9XO9tLeUh53HXXXXHeeedhzz33xA9/+EP8/Oc/Hw/f39+v5XfOnDnTZqPk5+WXX652yRI/7eVnDj74YHieN142N2Qm7Hws4ss//vGParMsT/SNb3wDl1xyCV7xilfgox/96KyylRCSQu2efKjdkw+1e+qgdhOSPajdkw+1e/Khdk8d1G4yJUzJcPsOgMxkbe9+veHSCLIbrvA///M/Zt99951wTbVaNTNla3uJjw03fJBNLdsbRB577LG6XIX839wyENNpp8xql5nYJ5xwgvn6178+IazMxpblS4IgGPf5TNoqs+oHBgZ06Q+Zgf/LX/5y/Ny5555rFi9erJtwzhRiq/hKlqZ51ateZZrNpvqtPSNbNg6VjSBl9viGjIyMTLut1113nS5LtCFi55IlS8w111yz0Wtmws7H8oIXvGB8SSJZ9qVUKukvHGRppdlmKyE7KtTuqfEptXtqoHZPPdRuQmY/1O6p8Sm1e2qgdk891G4y2XDG+JPgrrvuwhvf+Eaddf3ud78bd9xxx4QNIQWZ6brh7NbTTjsNxx9//Pj56bb16KOPxjvf+U5ceeWVatdhhx2GnXfeGYVCASeddJLOwP72t7+ts8dlxusjjzwyY3bK/X/3u9/h7LPP1hnWl112GR588MEJ4V/wghfoN7G1Wm3aNwrd0NaTTz5ZZwr/8pe/xG9+8xv18T777KMznKMo0vDPfvaz1VbZ9HS6aZc3mQkgM67f9KY34YorrsDXv/519ZuUUwmzdOlSnHPOOfjBDzC/OygAAB9JSURBVH6AO++8c7zsdnZ2TqudbX+JLcKGewOLve1fX7Q3Cl25cuW02vlYWzdEZoJLuRVkA1bxudSvv/3tb1i+fPl4uOm0lRDyKNTuyYfaPTVQu6fOp4+F2k3I7IbaPXU+5XP35ELtnnyo3WS64MD4ViIDXocffrhWUhn8vP766/GpT30K73//+/W867r6v1gsjg+MyvIKspyGLKkgg2UzZesNN9ygtp5++um6NIkMlA4ODuIXv/iFDpbKoKm8v/HGG6d1sPmxdsr93/e+96mtssyHDOLL0iO/+tWvdCBckPcyaC4DztPJY2296aab8K53vQsf+tCHsN9++2HevHmo1+vo6+sbLwuyrIrYKkvDTPcu2LI0zooVK8aPPec5z8FnPvMZLa//9V//pcfaZbKjowN77LGH/kSxvYTJTNnZHhCXcij1qNFoqJ3tQWWpU89//vM3urTKdNvaHqw/9NBD1W/vfe979YuSW2+9Vd9LOZblYab7SzFCyKNQuycfavfUQO2eHp9SuwmZ/VC7p96nfO6eHKjdkw+1m0wrkz4HfTtGlp7493//d91ss83o6KhuuPfUpz51wqaGP/7xj3VDQwnv+765+eabZ42tssSLLKnx0Y9+1LzoRS8yf/7zn/V8++dUjUZjxu2UzQsPPPBA85a3vMXcdtttuhHnwoULzf77729e/OIXm+7ubnPrrbdOm51P5FOx65RTTtENF3fbbTdz+OGHm49//ONqf19f37TbKptq9vb2GsuyzEc+8hGzZs2a8XOyyeqZZ56p5z72sY+ZW265RTdaleVLZNPL1atXzwo7N/ypn5RJ2XRVNq389Kc/rcuUtMvtbLFVNlmVc/PmzTM33XTT+PHPfOYzG900lBAyPVC7p8+n1O5tg9o9+VC7Cckm1O7p8ym1e9ugdk8+1G4y3XBgfCs58cQTzbOf/ewJx0RQPvvZz5qnPe1p5pxzzhlfY1wGyXp6enQwbzbZev7555sjjjjCvPe97zWPPPLI466b7jW7N+fTgw8+2Fx44YV67Jvf/Kb5xCc+oWt233vvvdNq4+ZslR3SxVYZyP/c5z5n7rjjDnPkkUfqmt3HHXecufPOO6fVRlnL/qSTTlJbL7roIi2HH/rQhyYMeMtg8yWXXGLmzp1rFixYYPbcc08zf/78af0CZ1N2bmxwXDjggAO0PMgXTRsOPM8WW6VMyhcNf/3rX/Vze/12QsjMQ+2eXp9Su7ceavfkQ+0mJNtQu6fXp9TurYfaPflQu8lMwIHxLaQ9WCyDtM94xjPMPffcM+H8+vXrdca4zBRutVrmvvvuM8961rN0tvNss1VmB7/1rW9V+2RQd7b79JBDDnnc5qGz1VY51x4QlXIgr+lGNlSVwdvLL798wpc0jx0cF2SzSNnsUjYLffjhh2eNnRsOOEveS5mVjSwdx5mROrWltsps/DYzsSksIWQi1O7Jh9o9NVC7p9en1G5CZi/U7pnzKZ+7tw5q9+RD7SYzAQfGtxIZ8O7v79fZo+1B5bbQPPTQQ9rhlkFGGRyVb7uyYOtMsyV2/uIXv5gVA45bYuvPf/5zM9M8tuzJQ6HY9sEPfnD8YTAMQ/Pggw+a2Wrn2rVrx+0Um6+66iqdjT8bbW1/4SD1/v77758hCwkhm4LaPflQuycfavf0+pTaTcjshto9Mz7lc/fWQe2efKjdZLrhwPiT4Le//a3J5XLm3e9+94QZJytWrNC1pq+//nqTFVv/+Mc/mtlAVuzMmq0y27rd2fne9743PlNKltB5//vfb17xileo8Mz07OYnsvPlL3/5hNnYs92ns8VWQsijULt3bD3Mkq3U7pnxKbWbkNkHtXvH1sMs2UrtnhmfUrvJZMCB8SfJ//7v/2ojLZVRZp/cddddunmhbLy3bNkyM5vIiq1ZsTNrtoqYtJd3EVs9zzN77LGHcV13fD3s2WynLJ8ym+zMkk8JIdltu7Nia1bszJqtWdEZajchZKrJUtudFVuzYmfWbKV277g+JdnGkj8gT4pbbrkFH/jAB/Cvf/0LruvCcRxcfvnlOOCAA2adR7Nia1bszJqt7WpuWRae97zn4dZbb8W1116LfffdF7OJrNiZNVsJIdlsu7Nia1bszJqtWdGZrNiZNVsJIdlsu7Nia1bszJqtWdGZrNiZNVtJNuHA+DYyOjqK9evXo1KpYN68eejv78dsJSu2ZsXOrNkaxzE+9KEP4YILLlAx2W+//TAbyYqdWbOVEJLNtjsrtmbFzqzZmhWdyYqdWbOVEJLNtjsrtmbFzqzZmhWdyYqdWbOVZA93pg3IOp2dnfrKAlmxNSt2Zs1WYe+999Zv3Ge7kGTFzqzZSgjJXtudFVuzYmfWbM2SzmTFzqzZSgjJXtudFVuzYmfWbM2SzmTFzqzZSrIFZ4wTsgMhP0OSnyDNdrJiZ9ZsJYQQkj2yojNZsTNrthJCCMkeWdGZrNiZNVtJtuDAOCGEEEIIIYQQQgghhJAdCnumDSCEEEIIIYQQQgghhBBCphMOjBNCCCGEEEIIIYQQQgjZoeDAOCGEEEIIIYQQQgghhJAdCg6ME0IIIYQQQgghhBBCCNmh4MA4IYQQQgghhBBCCCGEkB0KDowTQmYd55xzDg4++GB0dHRgcHAQL3vZy3DvvfdOCNNsNvHud78bfX19KJfLeOUrX4lVq1aNn//b3/6G1772tVi0aBEKhQL22msvfPGLX3zcva699loceOCByOVy2HXXXXHxxRdvsZ1vf/vb4TgOfvCDH2A6Ofvss3H44YejWCyiu7t7o2Esy3rc6/LLL59WOwkhhOw4ULs3D7WbEELIbIPavXmo3TsGHBjfzjjxxBN1EHG6kcHE9uDbqaeeiiwjadnUYOO2smTJElxwwQVTEvf2xHXXXaeD3n/605/w61//GmEY4gUveAFqtdp4mPe///342c9+poPSEn758uV4xSteMX7+5ptv1kH1//7v/8add96Jj370o/jIRz6CL3/5y+NhHnjgAbzoRS/CkUceiVtvvVXL7lvf+lb86le/ekIb6/W6DjSffvrp+Pa3v43pJAgCHHfccXjnO9+52XDf+c53sGLFivHXTLQNhJAnhtq97VC7Zx5q9+ahdhOyfUHt3nao3TMPtXvzULt3EAzJDJJdm3t98pOfNMPDw2ZoaGjabfvOd75jOjs7zYoVK8zo6KjJMpKWrq6uKYl79erVplarmZnkuuuuM//2b/9m5s2bp+XmiiuueFyYlStXmje96U0aplAomKOPPtr8/e9/Hz//wAMPbLIcfv/73x8P9+CDD5oXvvCFGsfAwID54Ac/aMIwfEIbJY499tjD5HI5s88++5jLLrtM4xbbhUsvvdRYlmXK5bIe/+tf/2ruvvtufX/DDTdsMt6TTjrJzJkzx3R0dGge77vvvmavvfYaP99oNMySJUs0XsdxzEtf+tJNxnXxxRebpz/96VrnisWieeihhyacf85znmPe9773TTgm8Ylf2yxfvlz9k8/n9b7f/e53zU477WS+8IUvmG0tq5vKW0LI9ELtnh6o3dRuajchZLKgdk8P1G5qN7WbzAY4YzxDbDjzU2Ydd3Z2Tjj2wQ9+EF1dXVM22/mJkNnic+fO1eUvyMYZGBjQ5S9mEpl1vf/+++Oiiy7a6HnpC8rM4vvvvx8//elP8de//hU77bQTjjrqqPEZ27I8yYZlT15nnnmmLmly7LHHapg4jnU2tnzL+sc//hGXXHKJzgr4xCc+sVn7JKwsgfKWt7xF7y22vPGNb9Rzvb29+v+uu+5SO+WnTW323HNPLF68GDfccMMm4/7lL3+pS7DILPSf//zn+Mc//qF2tpH3Mqs/iiJN7+b41re+hde//vVa5yTNW7MESxtJl8x0l+VcfvSjH+Eb3/gGVq9ejclCZt339/fjkEMO0VntaT+fEDKdULuzD7Wb2r0h1G5Ctn+o3dmH2k3t3hBqN9ksMz0yTyb321WZjbrhLFeZtXrKKafozNXu7m4zODhovvGNb5hqtWpOPPFE/YZul112Mb/4xS8mxHP77bebY445xpRKJb3m9a9/vVmzZs1W23PRRReZXXfdVWf+SjyvfOUrx8/FcWz+8z//U2fKyozZ/fbbz/zgBz+YcP0dd9xhXvSiF+kMX7H1mc98prnvvvvGrz/zzDPNggULjO/7Zv/99ze//OUvHzer+Uc/+pE54ogjdNay3OOPf/zj42xftGiRnn/Zy15mPvvZz05Iy6233qrXy/3FjgMPPNDcdNNNG/VDkiQ6c1/iE5tkxvV73vOe8fOPnQ0s9n3zm9/U+8r9xVc//elPt9gHgly/5557qo9llrX4fEvZ2Kzie++9V4/LfduIr2XGt9xrUzz1qU/VGdltpEzZtq2zz9t89atf1V8WtFqtTcbz6le/WtO74b2l7M6dO3f8mMysFv+281hmjAsHH3ywOf300zcar1wjYb/0pS+NH5OyI8ceeeSR8WNXXnmlHjvhhBM2OWNcZs97njdeJ8SHO++8s+b/ls4Yb89w37As/eMf/9BjkzFj/NOf/rT5wx/+YG655RZz7rnnavn44he/uEXxEkKmBmo3tbsNtZvavTGo3YTMPqjd1O421G5q98agdmcfzhjfAZCZujJr9M9//jPe85736LrEsj6xbN53yy236NrNb3jDG3TNZGF4eBjPfe5zccABB+Avf/kLrrrqKt3U8NWvfvVW3Veufe9734tPf/rTunGixPPsZz97wkYPl156Kb72ta/pGtCyZrTMwJV1roRHHnlEw8umiL/97W91zeiTTjpJZ/MKspHi5z73OXz2s5/FbbfdhqOPPhoveclLdBbwhsja0jKbXtaQ3n333XU2cjuOG2+8UWcmn3LKKXpe1po+66yzJlx/wgknYOHChbjpppvUhjPOOAOe5200zTLr9wtf+AK+/vWvqx0/+clPsO+++27WTzLTWnwraXjhC1+o91u/fv0W+eC73/2uzsCWmdN33303/vM//xMf//jHNc+fLK1WS//n8/nxY7Ztqw1/+MMfNnqN2CX+E1+2kZnbkvY5c+aMH5M8Gh0d1fzeFHLdhrO1ZdazjOFvyy8h7rjjDt0oU9Iked1GZu/LLx2kHGyMZcuW6Sz49uv3v/+9HpfZ15IWqVeC5NvIyIjm0ZYidcJ1Xd34s41s/tnT0zP++R3veMeE+28NUg6e8YxnaD3+8Ic/rGuhn3/++VsVByFk5qB2U7u3Bmr3o1C7CSEzBbWb2r01ULsfhdpNZpSZHpknU//NtcwwbhNFkc4Cf8Mb3jB+TNYF33Bt5v/4j/8wL3jBCybEu2zZMg0js4m31B6ZqS2zgze25niz2dR1mR87e/stb3mLee1rX6vvP/KRj+gs3CAINnrP+fPnm7PPPnvCMZkx/K53vUvft2cT/9d//df4+TvvvFOPyWxdQe4lazxvyGte85oJaZGZ2rKe9Jbwuc99zuy+++6btHljM8Y/9rGPjX+WmfxyrD3z/Yl8ILP9Zf3tDZH8O+yww570jHG51+LFi81xxx1n1q9fr7O7ZcaxhH1suWjzzne+c8Ja3cLJJ5/8uPCyvrrE89hfKGyIzMRup+nd7363Wbhwof4yQH5x0Obqq6/WeP72t79NmDEudn/+85+fEJ/kuVwrdUHyZkOe9axn6Uz9r3zlK+PHvv3tb2u5lbokZUNmcbdf9Xpd65D8EkDWOJd1yNsvseN1r3vdeDxHHnmkee973zvhfhJfe8b4T37yE+O6rs6I35Cenp7xMrJq1aoJ99+Wdfl+/vOfq41S9wghMwO1m9otULup3dRuQrIDtZvaLVC7qd3U7u0XzhjfAdhvv/3G3zuOg76+vgmzmNszettrG//tb3/DNddcM2GmqqzfLPzzn//c4vs+//nP17Wply5dqjPSZXZze1b6fffdp+8lzIb3kRnk7XvIDORnPetZG52dLbOOZW1mmRG7IfJZZk5vKv3z5s2bkFYJe+ihh04If9hhh034/IEPfABvfetbdRbzueeeu1kfyEz8RqOhaT755JNxxRVXjM/u3hQb2lcqlXTt+LZ9m/OBrPcttsgs7Q19KDPetyafHovc68c//jH+/ve/65reMqtayoOsoy0zxx+LpPeyyy6bMFt8S3jooYcm2C2z3dvImL3M7Bb/ySzs9szsNgcddJDaef3110+YgS1xSv61Z1qL7XvvvTfe9KY36S8jHouElTXQN0TWH2+XAbmHzOJuvwqFAn7xi1+gUqno+ueSP+3X9773PfWb/OKiva6drE+44frlMnO9zR577KFlQ+JpI/ViaGho/PPg4OCE+28LYqPMRpeZ/4SQ2Q+1m9q9NVC7qd2EkJmH2k3t3hqo3dRuMjtwZ9oAMvU8dlBVlo7Y8Jh8FpIk0f/VahUvfvGL8ZnPfOZxcbUHlrcE2YRTlmqRjQX/7//+T5f8+NSnPqVLksg9hCuvvBILFiyYcF174E4GISeDzaV1SxCbX/e616mtsnnjJz/5SVx++eV4+ctf/riwsimlDND+5je/0QHWd73rXbp8hSwPs6nlVzaWP237NueDtg+/+c1vPm5wX74A2RZk4FkGUmV5EBk4lkFeucfTnva0x4X94Q9/qF9ytDfIbCMbscryPRsiS/K0z82fP1/v0aa9saac+8pXvqKDyLL5p5QjGeiXL3RkEF58IhteykB8e9kb2Yzzy1/+sg5oP/3pT9cvJmRZHflCRgbE5csNGbheuXIl1qxZo+kR5AuP8847T8unLKMjg/Df//73Na8l/KY23ZRNRWUD0w15ylOeossByRdAsvyLLEck95W4dtllF3z+858fHzQX5Msm+bLlbW97G7761a9qOTjttNM0fe1yuinkCwBZbkf+y4B7248yeC5fCPzsZz9TX4svZPkYKYvyxYMsKUQIyQbUbmr31kLtpnYTQmYWaje1e2uhdlO7ySxgpqesk6n/SddjNwB87HIej11S49///d91E8cwDLfZng2RZUJk6QhZYkWWV5HNAC+99NJNhv/Upz71pJZSkeU3hMduzCgMDQ3psWuuuWaTS6kcf/zxm02LnH/xi19stoR77rlH73fzzTdvcimVxy5lIvcWf26pD2SzhyfLxu6/qc0mZSPNX/3qV487J2Vsw01VH7v5piwH0ubrX/+6LlOyueU8ZPNNsWtjr7ZfhEajoZvCynHZvPXlL3+5LgvURjZB3VgcsgxKG0mPHNt77711M8+lS5eO3+OxdUmQjUSlDH//+9/f5JIyBxxwgL6XPJPPvb29upTLOeecM2HzTWH58uXm2GOP1bogZUOWkJGwX/va1zbpn7ZtG0tbu1zLUjyyGaps1ipLJ8nGtBLnY5dtIYRML9RuardA7aZ2U7sJyQ7Ubmq3QO2mdlO7t184MJ5RplKgH3nkETMwMGBe9apXmT//+c/mvvvuM1dddZU58cQTdX3lLbXnZz/7mfniF7+oA9P/+te/dB1nGSi944479PxHP/pR09fXp+t3yz1k8PjCCy8cX8977dq1ev4Vr3iFuemmm3RwVgbSZbBZkDTIIOvll1+uxz784Q/r+tQSbksHxmVddbHp/PPP1+u+9KUvme7u7vG0yJrSMtAu4SUNf/jDH3R9sdNPP32TfpA1zW+//Xbzz3/+U9cPlzWsJS1PZmD8iXwgO2NL/OJnWf/9tttu0zWyZa3zTVGpVNQn8pL7y5rc8v7BBx8cDyMDv5JmSYOshS12iw2PRda9lrW222uib4iUlX322UfXGb/11lu1DEm5knXTN8f111+vg8+f/exndS14GeCWfBWftlm3bp3afOWVV2oapAzI5w0HxjfGMcccowPXN954o+blbrvtNr6m/YZrkktc8uXHEUccMe6r6aC9lv9vfvObabkfIWR6oXZTuwVqN7WbEJIdqN3UboHaTe0m2y8cGM8oUynQggzAygxcGSSWgdc999zTnHrqqSZJki225/e//73eXzYTlDj2228/8z//8z/j5yWuCy64QGeny8CnDJoeffTR5rrrrhsPI5srysCqbNQpm2DKZokyWCvI7FeZUb1gwQK9XmbFbjhAuyUD48K3vvUt3eBRbJTBUBmQbadFNp6UGeKLFi3SGcXyTfEpp5yis5U3hvjw0EMP1QF7man79Kc/fcIg59YOjD+RD4Tvfve7OjtY7BNfP/vZzzY//vGPzaaQtG9stvGGM5lloF18In6VDS1lgF988VhkkFt8s6mZyPJlgsyIFt/29/eb0047bYt+iSAD87JRpqRJZnPLAPiGiH82lgYZRN8cMqAuA+Eyk1ry6M1vfrN+UbAhkkcbi3sqkE1Ef/rTn5r7779fvxB4xjOeYZYsWbLJXwgQQrINtZva3YbaTe0mhGQDaje1uw21m9pNtk8s+TPTy7mQ7HPxxRfj1FNPnbCGMiFk8/zqV7/SdcXvv/9+XUv98MMPxwUXXKCb1hJCyFRD7SZk66F2E0JmEmo3IVsPtZtsDm6+SSYN2ahRNv6TjQc3tnEnIWQiRx99tL4IIWSmoHYTsnVQuwkhMw21m5Ctg9pNNgdnjJNJoVKpYNWqVfq+u7sb/f399CwhhBAyi6F2E0IIIdmC2k0IIZMLB8YJIYQQQgghhBBCCCGE7FDYM20AIYQQQgghhBBCCCGEEDKdcGCckO2cJUuWwLIsfXFzVEIIIWT2Q+0mhBBCsgW1m5BswoFxssNx0UUXqWjl83kceuih+POf/zx+rtls6uahfX19upHoK1/5yvG10zfHD37wA+y5554a57777otf/OIXE84bY/CJT3wC8+bNQ6FQwFFHHYV//OMfTxjvtddeiwMPPBC5XA677rqr7kK+NekRbrrpJvzoRz96wnsRQgghsxVqNyGEEJItqN2EkExgCNmBuPzyy43v++bb3/62ufPOO83JJ59suru7zapVq/T8O97xDrNo0SJz9dVXm7/85S/m6U9/ujn88MM3G+f1119vHMcx5513nrnrrrvMxz72MeN5nrn99tvHw5x77rmmq6vL/OQnPzF/+9vfzEte8hKz8847m0ajscl477//flMsFs0HPvABjfdLX/qS3ueqq67a4vS0ueaaa4xU96GhoW3wHiGEEDL9ULup3YQQQrIFtZvaTUhW4MA42aE45JBDzLvf/e7xz3Ecm/nz55tzzjnHDA8P64D2D37wg/Hzd999tw4o33DDDZuM89WvfrV50YteNOHYoYceat7+9rfr+yRJzNy5c835558/fl7ulcvlzPe+971Nxnv66aebvffee8Kx17zmNeboo4/eovRsCAfGCSGEZBVqNx+uCSGEZAtqN7WbkKzApVTIDkMQBLj55pt1GZM2tm3r5xtuuEHPhWE44bwsj7J48WI930aWLfnUpz41/lnObXiNcPTRR49f88ADD2DlypUTwnR1demyJxvGe8QRR+DEE0/c4nifKD2EEEJI1qF2E0IIIdmC2k0IyRIcGCc7DGvXrkUcx5gzZ86E4/JZBq7l5fs+uru7N3q+zS677IL+/v7xz3JuU3G2z7ePbS5eGYCXNcifKN7R0VE0Go0nTA8hhBCSdajdhBBCSLagdhNCsoQ70wYQkjWuvvrqKYn30ksvnZJ4CSGEkB0dajchhBCSLajdhJDpgDPGyQ6DzPJ2HAerVq2acFw+z507V1/ys6/h4eGNnt8Ucm5TcbbPt49NRrydnZ0oFApPmB5CCCEk61C7CSGEkGxB7SaEZAkOjJMdBlkm5aCDDprwzXOSJPr5sMMO03Oe5004f++99+Khhx7S85tCzj322+xf//rX49fsvPPOOlC9YRhZDuXGG2/cpnifKD2EEEJI1qF2E0IIIdmC2k0IyRQzvfsnIdPJ5ZdfbnK5nLn44ovNXXfdZd72treZ7u5us3LlSj3/jne8wyxevNj89re/NX/5y1/MYYcdpq8Nee5zn2u+9KUvjX++/vrrjeu65rOf/ay5++67zSc/+UnjeZ65/fbbx8Oce+65ep+f/vSn5rbbbjMvfelLzc4772wajcZ4mDe84Q3mjDPOGP98//33m2KxaD70oQ9pvBdddJFxHMdcddVVW5yeNtdcc42R6j7E3bEJIYRkDGr30ExnASGEELJVULup3YRkBQ6Mkx0OGdSWwW/f980hhxxi/vSnP42fk4Hqd73rXaanp0cHpV/+8pebFStWTLh+p5120sHvDfn+979vdt99d41z7733NldeeeWE80mSmI9//ONmzpw5OpD9vOc9z9x7770TwjznOc8xb3rTmx43oP3Upz5V4126dKn5zne+s1Xp2TAeDowTQgjJKtRuQgghJFtQuwkhWcCSPzM9a50QMrVce+21OPLIIzE0NITu7m66mxBCCJnlULsJIYSQbEHtJiR7uDNtACFkatl7771x//33082EEEJIRqB2E0IIIdmC2k1INuGMcUK2cx588EGEYajvly5dCtvmnruEEELIbIbaTQghhGQLajch2YQD44QQQgghhBBCCCGEEEJ2KDh1lBBCCCGEEEIIIYQQQsgOBQfGCSGEEEIIIYQQQgghhOxQcGCcEEIIIYQQQgghhBBCyA4FB8YJIYQQQgghhBBCCCGE7FBwYJwQQgghhBBCCCGEEELIDgUHxgkhhBBCCCGEEEIIIYTsUHBgnBBCCCGEEEIIIYQQQsgOBQfGCSGEEEIIIYQQQgghhOxQcGCcEEIIIYQQQgghhBBCCHYk/j/fujA+x0beQAAAAABJRU5ErkJggg==",
-      "text/plain": [
-       "<Figure size 1500x400 with 6 Axes>"
+      "cell_type": "code",
+      "execution_count": 10,
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "image/png": 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RMqAuriIiIsOXKuhERErIMaboGYw045GIiBQi9Mx6A1AWEREpT2Hymdxx0jtV0ImIlJBxDabIpgpGwUxERAoQtgWdxgUSEZFChclnQDlNIVRBJyJSQo5rcIoMaLrbJCIihXBCDtytLq4iIlKoMPkMKKcphCroRERKyXUwTpGdiYwdmLKIiEhZCVrQKWkSEZEBFCafAeU0BVAFnYhICRnHYIps3mBQ4iQiIn0L24JOXVxFRKRQYfIZUE5TCFXQiYiIiIiUAUPYSSKUNImIiAw2VdCJiJSQ4xqcIu84KXESEZFCqAWdiIgMtDD5DCinKYQq6ERESsg4xY/ZYKzGaxARkb5pDDoRERloYfIZUE5TCFXQiYiUkFrQiYiIiIjIcKUWdANHFXQiIiVkXE0SISIiAyNsF1dHYUZERAoUJp8B5TSFUAWdiEgJBQGtyC6u+ANUGhERKSdhJ4kIc4yIiIxMYfIZUE5TCFXQiYiIiIiUAWPCjSen6jkREZHBpwo6EZES0hh0IiIyUIwJ2e1I07iKiEiBNAbdwFEFnYhICRljMEUO9mN8BTMREembcQiXNGkQOhERKVCYfAaU0xRCFXQiIiXkuA5OkWM2OLb4MR5ERGQEMuHGBcJx0NBAIiJSiDD5DCinKYTeIRGREsrNelTsUoynnnqKffbZh4kTJ2KM4f777+/zmCeffJKZM2dSUVHBJptswo033hjyFYqIyGAxTrgYY9zBLrmIiAwXYfMZ5TR9UwWdiEgJlSKYtba2st1223HdddcVtP+iRYvYe++9+fznP8+CBQv4wQ9+wEknncS9994b5iWKiMggMebjsYGKWtTFVUREClSqCrqRmNOoi6uISJmZM2cOc+bMKXj/G2+8kcmTJzN37lwAttxyS1544QWuvPJK9t9//wEqpYiI9DtjME7x99/DHCMiIjKQRmJOo2gsIlJCuTEbil0G0nPPPceee+7Zad1ee+3FCy+8QCaTGdBzi4hI/zFOiNZzrsEoIxARkQKFzWeU0/RNLehEREopRPNubLB/U1NTp9XxeJx4PL7eRVq+fDnjxo3rtG7cuHFks1lWrlzJhAkT1vscIiIy8Iyh+BhDuGNERGSECpPPgHKaAuh+mYhICTkmGOunqMUEwWzSpEnU1dXll0svvbTfymVM5yBrre12vYiIiIiIjFyh8hnlNAVRCzoRkRIyroMpsnm38YP933//fWpra/Pr++NOE8D48eNZvnx5p3UrVqwgEokwevTofjmHiIiUgGOKjjGgMehERKRwYfIZUE5TCFXQiYiUUG68n6KO8YP9a2trOwWz/jJr1iwefPDBTuv++te/suOOOxKNRvv9fCIiMjCMKT7GQDB2nYiISCHC5DOgnKYQul0mIlJmWlpaWLhwIQsXLgSCKccXLlzIkiVLADj77LM57LDD8vsff/zxLF68mNNOO43XX3+d2267jVtvvZXTTz99MIovIiIhGRNUthW/DHbJRUREOhuJOY3CsYhICZmOQVWLXYrxwgsvMGPGDGbMmAHAaaedxowZMzjvvPMAWLZsWT6wAUydOpU///nPzJ8/n+23356LL76Ya665ZthMRy4iIoFgFtcQM+uF6OL61FNPsc8++zBx4kSMMdx///19HvPkk08yc+ZMKioq2GSTTbjxxhtDvEoRERlMYfMZ5TR9UxdXEZESWp8x6Aq122675QdE7c68efO6rNt111156aWXijqPiIgMMSbczHphjmltbWW77bbjyCOPLCj5WbRoEXvvvTff/e53ueOOO3j22Wc54YQTGDNmzLBKnkRERrr1HYOuUCMxp1EFnYhICTkuIcagG6DCiIhIWTFOuMo2QoxBN2fOHObMmVPw/jfeeCOTJ09m7ty5AGy55Za88MILXHnllaqgExEZRsLkM6CcphCqoBMRKaHceD/FHiMiItKXYJKI4ls1OCWIM8899xx77rlnp3V77bUXt956K5lMZtgM4C0iMtKFyWdyx0nvVEEnIlJCjuMUnTw5noYLFRGRAjjr18W1qamp0/p4PE48Hu+Xoi1fvpxx48Z1Wjdu3Diy2SwrV65kwoQJ/XIeEREZWGHyGVBOU4hBfYd6G1w2k8lw1llnsc0221BVVcXEiRM57LDD+PDDDwevwCIiMqwozojISGJM0Bqu2MUYQ0tLC3V1dZ2WSy+9tJ/L17nyMDe20CfXDzeKNSIi0h8GtYIuN7jsdddd12VbW1sbL730Ej/84Q956aWXuO+++3jrrbf42te+NgglFRHpH6WY8Ug+pjgjIiOJMSY/eHdxi6G6uprGxsZOy9lnn91vZRs/fjzLly/vtG7FihVEIhFGjx7db+cZDIo1IjKSlGoW15FoULu49ja4bF1dHY8++mindddeey2f+cxnWLJkCZMnTy5FEUVE+lWoWVxDNCGXgOKMiIwojgk3cHfHuEC1tbX9XaK8WbNm8eCDD3Za99e//pUdd9xx2I8/p1gjIiNJ6FlcldP0aViNQdfY2IgxhlGjRvW4TyqVIpVK5R9/ciwNEZHBZBwH4xRZQVfk/hKe4oyISGFaWlp455138o8XLVrEwoULaWhoYPLkyZx99tksXbqUX/3qVwAcf/zxXHfddZx22ml897vf5bnnnuPWW2/lt7/97WC9hEGjWCMiw1mYfCZ3nPRu2LxDyWSS73//+xxyyCG93t279NJLO42dMWnSpBKWUkSkd47rhFpk4CnOiMhwZ0zIrkchZtZ74YUXmDFjBjNmzADgtNNOY8aMGZx33nkALFu2jCVLluT3nzp1Kn/+85+ZP38+22+/PRdffDHXXHMN+++/f/+8+GFCsUZEhruw+Yxymr4NixZ0mUyGgw46CN/3uf7663vd9+yzz+a0007LP25qalJAE5GhI0yTcAWzAac4IyJlwTHhuhCFOGa33XbLT/LQnXnz5nVZt+uuu/LSSy8Vfa5yoVgjImUhZBdX5TR9G/IVdJlMhm9961ssWrSIxx9/vM+xMfpzOngRESl/ijMiUi6MCTsG3QAURjpRrBERkb4M6Qq6XCB7++23eeKJJ4b9DE8iIsYJMUmEMqcBozgjIuXEGEJ1Vw1zjBROsUZEykmYfCZ3nPRuUCvoehtcduLEiXzzm9/kpZde4qGHHsLzvPzU7A0NDcRiscEqtohIaJokorQUZ0RkJDGOCTXGj+LM+lGsEZGRRJNEDJxBraB74YUX2H333fOPc+MsHH744VxwwQU88MADAGy//fadjnviiSfYbbfdSlVMEZF+E0xL7hZ5jDdApSl/ijMiMqKYYNKHog8LcYx8TLFGREaSMPlMcJxymr4MagVdX4PL9rZNRGQ4MiEGVQ01CKsAijMiMrKYkJNEqIvr+lGsEZGRJEw+kztOejekx6ATESk3juPgFNm8u9j9RURkhDJG3Y5ERGRAhclncsdJ71RBJyIiIiJSBoJZXNWCTkREZDhSBZ2ISAmpi6uIiAwUY8J2cVWcERGRwqiL68BRBZ2ISAmpgk5ERERERIYrVdANHFXQiYiUkDHFT0tujIKZiIgUIOwkEZrFVUREChQmn8kdJ71TBZ2ISAmpBZ2IiAwUE3aSCCVNIiJSILWgGziqoBMRKaGRWkHX1NRU9DG1tbUDUBIRkTJmDMZ1iz9OcUZERAo0kivoBjrWqIJOREQG3KhRozCm8C5UxhjeeustNtlkkwEslYhIeTFhu7iWwSQRijMiIjLQBjrWqIJORKSEHNfBKTJ5Knb/oer3v/89DQ0Nfe5nrWXvvfcuQYlERMqLMQYnRGVbmGOGIsUZEZGBFyafyR1XDgYy1qiCTkSkhIxT/PhAxhn+g3dvvPHGzJ49m9GjRxe0/yabbEI0Gh3gUomIlBkTtgWd4oyIiBQmTD6TO264G+hYowo6EZESGqlj0C1atKio/V955ZUBKomISPkK28WVMmhBpzgjIlIaI3kMuoGONaqgExEpoZFaQSciIiUQdhbXMmjVICIipTGSK+gGmt4hEZESMsbBOEUuZmT8VP/3v//loosuGuxiiIgMW6aji2vRSxm0oCuE4oyIyPoLlc8opynIyHiHRERkyFu+fDkXXnjhYBdDRGT4ckJW0LkjowWd4oyIiAy09Yk16uIqIlJCxnVxXLfoY8rByy+/3Ov2N998s0QlEREpT8aYULPklUsLOsUZEZGBFyafyR1XDgYy1qiCTkSkhEbyGHTbb789xhistV225dYbMzJacYiISP9TnBERGXgjfQy6gYw1qqATESmhkVxBN3r0aC677DL22GOPbre/+uqr7LPPPiUulYhI+TChJ4lQnBERkcKM9Aq6gYw1qqATESmh3CCpxR5TDmbOnMmHH37Ixhtv3O32tWvXdnsnSkRECtQxBl2xymUWV8UZEZGBFyafyR1XDgYy1qiCTkSkhEZyC7rjjjuO1tbWHrdPnjyZ22+/vYQlEhEpL7lZXIs+rkySJsUZEZGBN9Jb0A1krFEFnYiIlMQ3vvGNXrfX19dz+OGHl6g0IiJlKGQXV8qkBZ3ijIiIDLSBjDXlUYUpIjJMmI7uR0UtZZI4defZZ58llUoNdjFERMqCcQxOx+x6RS1Oecys1x3FGRGR/hUqn1FOUxBV0ImIlFBuzIZil3I1Z84cli5dOtjFEBEpC7kursUv5Zs0Kc6IiPSvsPmMcpq+qYuriEgJGcfFFNlSodj9hxMN1i0i0o9CTxJRvkmT4oyISP8Kk8/kjitX/RVrVEEnIlJKjhssxR4jIiLSBxN6DLryraATEZF+FiafyR0nvSqogm6HHXYo6kmNMTzwwANsuOGGoQolIiIjwy9+8QvGjRunOCMi0h9Cz+Javl1cc3EGlNOIiMjAWDfWrI+CKugWLlzI//7v/1JdXd3nvtZafvKTn2gwVhGR7jhO8S0VyrhlwyGHHEJTUxMLFizgyCOPZOONN+7zGMUZEZHuGXVx7SIXZ+6//34WLFjA6aefrpxGRGR9hMlncseVqXVjzfTp09lyyy1DPU/BXVzPOOMMxo4dW9C+P/3pT0MVRkSk3BnXxbhFjkFX5P45119/PVdccQXLli1jq622Yu7cuXz+85/vdt/58+ez++67d1n/+uuvs8UWW4Q6f0++9a1vMXv2bE488UTa29vZcccdAfj1r3/NXXfdxf7779/ncyjOiIh0I2QX13JrQdddnHnvvfcA2HLLLTnqqKMKeh7FGhGRrsLkM7njijVU8xnoOdZYawvOaT6poAi+aNEixowZU/CTvvbaawW1ghARGXFyYzYUuxTp7rvv5pRTTuGcc85hwYIFfP7zn2fOnDksWbKk1+PefPNNli1bll+mTZsW9pX26KmnnsoH1j/84Q9Ya3n99de5+uqrueSSSwp6DsUZERHpSXdxZu3atVx88cVce+21BT+PYo2ISDfC5jNF5jRDOZ+BnmPNNddcU3BO80kFVdBtvPHGGFP4nbVJkybhhmzxISJS1hwnRDArvjXEVVddxdFHH80xxxzDlltuydy5c5k0aRI33HBDr8eNHTuW8ePH55eB+C1vbGykoaEBgIcffpj999+fLbbYgq9+9au8/fbbBT2H4oyISFfGOPnZ9Ypdykl3caayspLDDjus4DgDijUiIt0Klc8Un9MM5XwGeo41X/nKV4qKNesKNYtrMpnk5ZdfZsWKFfi+32nb1772tVAFGWhLlixh6623HuxiiMgIZxyn6O5Hxe6fTqd58cUX+f73v99p/Z577snf//73Xo+dMWMGyWSST33qU5x77rndNhNfX5MmTeK5556joaGBhx9+mLvuuguANWvWUFFRAQzPOPPqq6+y0047FXVDS0SkXxkTbpY8U17jAhUSZ2B4xpp0Oj3YRRCRES5MPpM7rlBDPZ+BwmNNMYquoHv44Yc57LDDWLlyZZdtxhg8zwtVkIG2zTbbdHp87LHHcuONNyqREpFho6mpqdPjeDxOPB7vst/KlSvxPK/LTELjxo1j+fLl3T73hAkTuOmmm5g5cyapVIpf//rX7LHHHsyfP5/Zs2f334sATjnlFL797W9TXV3NxhtvzG677QYEzcS32WabYRtndt555y7r2tvbQwdoEZGiGaOBu+k7zsDwzWk+OezQ22+/zWabbTZIpRERKV4hOc1Qz2egsFhTrKKj8YknnsgBBxzAsmXL8H2/0zJUA1l3brrpJhzHwRiTX55//vnBLpaIlDsTojm4CVpDTJo0ibq6uvxy6aWX9n6qT9yAsNb2eFNi+vTpfPe732WHHXZg1qxZXH/99XzlK1/hyiuv7J/XvY4TTjiB559/nttuu41nnnkGpyMx3GSTTbjkkkvKJs4AJBKJTnHm+9//PtlsdrCLJSLlyjj5wbuLWcJW0F1//fVMnTqViooKZs6cydNPP93jvvPnz+/0e5hb3njjjbCvtkd9xRkon5xm2rRpXd7Ttra2wS6WiJSzMPlMyJxmqOYzUFisKVbRLehWrFjBaaed1qUmsxzMmjWr0+NTTjmFn/3sZ4NUGhEpNc/zuOWWWzj++OMH7iRhJn3o2P/999+ntrY2v7q71nMAG2ywAa7rdrm7tGLFiqJ+u3faaSfuuOOO4spaoJkzZzJz5sxO677yla8A5R1nLrvsMi677LJO63zfV2tukRHklVdeCX1nvU9hu7iGqKDLDd59/fXXs8suu/CLX/yCOXPm8NprrzF58uQej3vzzTc7xbJiJqIrRm9xBso71lRVVXV6vHr1aurr6wepNCJSamvXrmX27Nn8+9//HpgThJzErpicZjjkM9B3rClW0dH4m9/8JvPnzw99wnU99dRT7LPPPkycOBFjDPfff3+n7dZaLrjgAiZOnEgikWC33Xbj1VdfDXWuxsZGrLVYa/nNb35T0DFz587tdDfqgQceCHVuERl81lpSqRRXXHFFt3fwjTFEIpGBrZzj4zEbil0AamtrOy09VdDFYjFmzpzJo48+2mn9o48+2m03zJ4sWLCACRMmhH+xIZVDnCmmRci6rblnz57dZRwkERk+PM/jkUce6THOGGMGrnIOgrHk1qNVQzGG+uDdfRnusSaZTBY8rlJDQ0Onz2AqlQp1bhEZfLnrzNmzZ/cYZ+rr6weuco7w+UwxOc1wz2fCKroF3XXXXccBBxzA008/zTbbbEM0Gu20/aSTTir4uVpbW9luu+048sgj2X///btsv/zyy7nqqquYN28em2++OZdccglf+tKXePPNN6mpqSm26HmHHHIIhxxySKdybLbZZj32Zc75+te/3ulxS0tLlztUIjL4XnzxRXbcccfBLkb31qMFXTFOO+00Dj30UHbccUdmzZrFTTfdxJIlS/IVkGeffTZLly7lV7/6FRDckJgyZQpbbbUV6XSaO+64g3vvvZd777236HOvr3KIM9OnT8dam39sreVHP/oRP/zhD3s97umnn+6UrD733HPstNNOocshIgNj7dq1Q7JFkjEm5MDdxbXiHQ6Dd/dluMeaeDzO448/3mndc889V1Diuu7YqAcddBC/+c1v8l2zRGRosNay99578/DDDw92UbpazxZ0hRrO+UxYRVfQ3XnnnTzyyCMkEon8WBI5xpiigtmcOXOYM2dOt9ustcydO5dzzjmH/fbbD4Bf/vKXjBs3jjvvvJPjjjuu2KL3qKqqimXLlnVa99vf/rZTJV53qqur8/9PpVLEYrF+K5OIFMbzPO6//36++c1v9vtz/+Mf/2DHHXekubmZUaNG9c+T5qYlL/aYIh144IGsWrWKiy66iGXLlrH11lvz5z//mY033hiAZcuWsWTJkvz+6XSa008/naVLl5JIJNhqq63405/+xN577130uddXOcYZYwznnnsu5557bn5dMpkkkUj0ety6Qy88+OCDfPWrX+23MolIYay1LF68mKlTp/b7c19xxRV873vfI5lM9k+cCT2La3BMuUxGVIhyjDWzZs3qdHMIuo7f9El33XVXfubB6dOnD8iYgCLSO2stbW1tbL755nz44Yf9+ty77LILf/zjH4lEIoObz+SOK8JwzmfCKrqC7txzz+Wiiy7i+9///oDeaVm0aBHLly9nzz33zK+Lx+Psuuuu/P3vf+8xmKVSqU7Ntj95oVGogw8+mIMPPjj/+He/+x3f+ta3etx/3YsXjSckMnCSySTf+MY31utuUjwe59FHH2WnnXbqcse8O8P1+3zCCSdwwgkndLtt3rx5nR6feeaZnHnmmSUoVd9GSpypqKjolEitXr2a0aNH97j/Pvvsk///smXLGD9+fKjzikjvrLX89re/5dvf/vZ6Pc8tt9zCN7/5Terq6vrct9+6HJrwSVNLS0uXsp5//vlccMEFPZ+uyMG7p0+fnn88a9Ys3n//fa688spBqaAbKbFm3Tjj+36vXYrffPPN/N/vRz/6ET/4wQ9CnVNE+vbOO+8wbdq09XqO4447jnPPPZcNN9ywz3wl7G/IYBuu+UxYRVfQpdNpDjzwwAFvBp27+9bdnbnFixf3eNyll17KhRde2O/lOeCAA/IBLpVKdWoa/km59+a0007jpz/9ab+XRWSk+eijjxg7dmzRx33729/m+uuv7zQI6WDLz5hX5DHlJplM8vLLL7NixYouY66N1DjT0NDQKZE6+OCD860aPmndsTQ+2VpCRIpnrQ31m7PLLrtw2223sfnmmw9AqUII3cXVobq6mqVLl3ZaP5wnI+otznzta18bkbHGcZxOMePpp5/usXL0nHPO4ZxzzgGCLt2FVDSLSO8uvfTSoiu+N910Uy6++GIOOuigIdNoIEw+kzuu3PQVa4pVdAXd4Ycfzt13312yOyrF3JmDoB/yaaedln/c1NTEpEmT+rVM8Xg8H9x6u6C76qqruOqqq9hqq6145ZVX+rUMIiOB67oFD5j/mc98hueff37IBK4eOU7xXVbLbFyYhx9+mMMOO4yVK1d22ZbrVjTS4wwEQy389re/BYJZxa+++upu98uVVa23RYp38803c+yxxxa8f1NT03qNTznUFXpDa93Bu7/xjW/k1z/66KNdxmzuzUAN3t1XnPE8TzkN8PnPfz6f07z99ts9VjTnusV9+OGHw2qwdZGhYNWqVWywwQYF7//iiy+yww47DGCJ+kGYfCZ3XBkpJNYUq+gKOs/zuPzyy3nkkUfYdtttu3QPu+qqq4ouRHdyXXeWL1/eKRD0dWeup7EyBooxJh/YMplMt+PQvfrqq0qgRAr0/vvvM3ny5D73mzdvHocffngJStTPSjRJxFB24okncsABB3Deeed1+3t+0kknKc58wty5c5k7dy4As2fP5umnn+6yT+5mkSYwEuldX938cmbMmME///nPQZtlNJTQY9AVnzQN5cG7+4ozoJzmk6ZNm5bPaXqabGLixIkA/PrXv+Y73/lOycomMhzNmjWL559/vs/91qxZ039jw5VKiSaJGOoKiTXFKrqC7t///jczZswA6NIqrD8rnqZOncr48eN59NFH8+dLp9M8+eSTXHbZZf12nv4UjUbzge2+++7rdhanXAL1/PPP89nPfrak5RMZqqy1fPrTn+bFF1/sdb+FCxey3XbblahUA8M4LqbI4FTs/kPdihUrOO2003oMZIozvXvqqaeAoCKuu5Y8uQmMdtllF5555pmSlk1kKPvDH/6QH6S/J5dcckm+W9+wtB5j0BVrKA/e3VecAcWa3qw72UR378Whhx7KoYceCqjxgci6GhsbC6psS6fTBY2DPVSFyWdyx5WTQmJNsYquoHviiSf67eQtLS288847+ceLFi1i4cKFNDQ0MHnyZE455RR+/OMfM23aNKZNm8aPf/xjKisr+5xddSjYb7/9sNZy9tln85Of/KTL9p122gmAL37xizz66KOlLp7IkOB5HpFI7z9Df/jDH9hnn32GVwuG3pgQTcJDtGwYyr75zW8yf/58Nt100263K84Uprq6Gmttj61On332WbXeFqHvypbtttuOp59+uiy6rhrHhBsXKGTSNFQH7+4rzoBiTaGstb0O6ZNb//7777PRRhuVsmgiQ0ZfE0pCMPt1b5OBDSth8pnccWWkkFhTrKIr6PrTCy+8wO67755/nBtn4fDDD2fevHmceeaZtLe3c8IJJ7BmzRo++9nP8te//nVYXUBdeumlXHrppT3Ozve3v/0NYwxf+MIXeOyxxwahhCKlt3jxYqZMmdLrPhr4vnxdd911HHDAATz99NNss802Xe4gnnTSSf12rpEQZyZNmlRwApXNZsunslukF4V0Y21tbaWysrJEJSoRY0KOC1ReFfiljDNQ/rFm3SF99thjDx5//PEu++TGx3vrrbfWe2ZKkeEiFouRyWR63H7zzTdzzDHHlLBEUkoDEWuMLSAL3m+//Zg3b17BA8d++9vf5mc/+1moWRf7W1NTE3V1dTQ2Ng6JmRwLaTGklg5Srh566CH22WefHrdPnz6dl19+uduxHAdTf/yO5J5j1fx7qK0uLiFsamlj9G7fGjK/Y+vrlltu4fjjjyeRSDB69GiMMaxYsSI/K+C7777b53MozvTu61//Og888ECP2xctWtRnJbnIcNTTDdF1DcWWPv3xO3LMMccw3jZx3jEHFn3sC6+9w/7nzmXZsmWhzj3UdBdnIOiONGbMGN57772Cnkexpmcvv/xyr8OOnHrqqf02jp/IUFLIDaD777+/qAlzSmGw8xkYGTlNjjGmoJzmkwq6xfbHP/6Rjz76iKampj6XxsZGHnzwQVpaWoouzEjgum6+pcMNN9zQ7T6O42CMKXj2SpGhrr6+HmNMj5VzN998M9Za3njjjSFXOdfvHOfjgVULXsqrOfi5557LRRddRGNjI++99x6LFi0imUzy+OOPs3DhQsWZfvDHP/4Ray2NjY3dbp86dSrGGBYvXlzikokMjL/85S8YY3qtnMtdfw21yrl+ZUx+bKDilvKPM7lY89hjjymn6Qfbbrst1toe85Wf/exnGGM4//zzS1wykYHR1NSEMabXyrm2tjastUOucq7fhcpnRkZOk1vCVM5BgV1crbU9Trst4R1//PEcf/zxnHzyyVxzzTVdtue+/OqSJMPVpptu2uuPk+d5PXbJK1thpiUvs/conU5z4IEHdvrbK84MjNraWqy1/Otf/2L77bfvsj3Xiu6NN95g+vTppS2cSD946qmn2HXXXXvc/p///IdNNtmkhCUaZKG7uJZ/nAHFmoGQ6/6aTCZJJBJdtl900UVcdNFF7Lbbbv067p9IqbS1tVFVVdXj9uOPP57rr79+ZPWAC5PP5I4rIz3FmvVRUAVdmB/TDTfcsOhjRqqrr76aq6++mhdeeIFPf/rTXbbnusRmMpk+u8eKDLbexsHKGcnduI3rFj2Ad5gBv4eyww8/nLvvvpsf/OAH+XWKMwNru+226zWB2mKLLYCPu3+JDHWf+9znePbZZ3vcvmzZMsaPH1/CEg0NxjjhJnwos4G7u4szoFgzkCoqKnqd+XX+/PkYY5g3bx6HH354qYsnUrSecvOcM844g8svv7yEJRo6wuQzuePKSU+xZn0UVNvT251J6T877rgj1lr+8Ic/sN9++3XZnht0cCRXbsjQ1d7e3utg23feeScHHXSQPru5Jt7FHlNGPM/j8ssv55FHHmHbbbftMqCqxqwZOLkEqrm5uduxP3LjLLW1tXVbkScymKy1XHvttZx88sndbo/FYiSTyREeZ0y4mFFmrRoUZwZXbxV1RxxxBEcccQQLFizotmW3yGD797//zbbbbtvj9mQySTweL2GJhqAw+UzuuDIyELFGzbGGoG984xtYa3n44YeZM2dOl+251klqUSdDQU+J/ro0I6us69///jczZswA4JVXXum0bWQn1qVTU1ODtZZ0Ot3tRWausv2jjz5igw02KHXxRLro67dBCVOHsF1cy6wFneLM0NBbRV3u7/PII4+w5557lrRcIt259dZbe51x9W9/+xt77LFHCUskQ91AxBrV7gxhX/7yl7HWcvfdd3PQQQd12R6NRtlggw1YsWKFLjZkUPT2uXvhhReYOXNmCUszTKgFncagGUJisRjW2h5nvsx1d127di11dXWlLp4Ijz/+eI8JUX19PatXry5xiYY4xwnZ7ai8KugUZ4aW3GQS3Y2pvddeewFBF1j12pLB0NLSQk1NTY/b1XutG2pBBwxMrCmvaFymDjzwwB5nSFq5ciWO43DzzTeXuFQykh177LE9BqrJkyeTzWZVOdcD4zihFpGB1NDQgLWW008/vdvto0aN0sWplNTChQsxxvRYObd8+XJVzokMI47j5Cct6s5uu+2GMabHnEekv7W3t2OM6bFy7u9//zvWWl3/dCNsPqOcpm96h4aJ3AxJ1tpuWznkKky+//3vD0LpZKT41a9+hTGm2wrha665Bmstixcv1qzDvTEhpiQ3w//93G+//Whqaip4/29/+9usWLFiAEsk3bniiiuw1jJ//vxutxtj8vFIZCCk02mMMfkuI5+UuxYaN25ciUs2TBhTfIxRnJES2nbbbfMt6rrjui7GGNrb20tcMhlJjDE9jp3d1taGtZZZs2aVuFTDSJh8RrGmIKEq6LLZLH/729/4xS9+QXNzMwAffvghLS0tYZ5OirRy5Uo8z+t222WXXYYxhmuvvbbEpZJydtZZZ2GM6XbWrb322gtrLd/73vcGoWTDkDHBWD9FLcP/zt0f//hHPvroI5qamvpcGhsbefDBB3nkkUcUZwbJrrvuirWWww47rNvtjuPojrL0q1WrVmGM6XEcOd/3VTFcCOOES5rKoFVDmDizdu1a5TSDJHez56WXXup2e2VlJcYYstlsiUsm5Sx3o7E7H374IdZaTZJViFD5zMjNaYqJKUWPQbd48WK+/OUvs2TJElKpFF/60peoqanh8ssvJ5lMcuONNxb7lBJCrpm4tTY/acS6TjrpJE466ST++c9/suOOOw5CCaUc/OUvf2HvvffucbuSpRByAarYY4Y5ay2bb755wfv7vs+xxx5LJpNRnBlEv/zlL/nlL39JZWVlt60ZjDEccMAB3HPPPYNQOikHjY2NjBo1qsftGv+wOMaYUF2IzAiMMwBz5sxh+fLlymkG0YwZM7DW8thjj/HFL36xy/bcrIgaB0zWR2+fnVtuuYWjjz66hKUpA2Hymdxxw1yYWFOMoivoTj75ZHbccUf+9a9/depq+Y1vfKPXWU9kYOTuPnme1+2Mrp/+9KeBYArg7iryRLrT3t7eY7NvCLogfXIaaZHeFDOI6jnnnENlZSX33nsvEydOzK9XnBk8bW1tQNBi9q9//Wunbb/73e8wxrBo0SKmTJkyCKWT4aq3hOn9999no402KmFpykSui2uxyuAasdjBus855xwmT57MvHnzlNMMAXvssQfWWt555x2mTZvWZbvjOPzP//wP119//SCUToar/fffn/vuu6/bbZdddhlnnnlmiUskw12YiSE23HDDgvctuoLumWee4dlnnyUWi3Vav/HGG7N06dJin076ieu6vbaoy40Jpoo66U1fFXP6/Kw/axxskXePit1/KCpmZrY33niDZ599tsugvYozg++RRx4BYIcddmDBggWdtk2dOhWAF198kR122KHkZZPho7eKudWrV1NfX1/C0pQbM2JbNRQ7A+gbb7zBrbfeqpxmiNlss82w1vLXv/41P8Nrzg033MANN9zAQQcdxG9/+9tBKqEMB5dffjlnnXVWt9tuvvlmVcKvpzD5TO644W6gZ5su+h3yfb/b8c8++OCDXqcnltLItaj74IMPut3uui7f+c53SlwqGQ56Gyw1NyaDKuf6QajxGkbW+644M/S99NJLPY6FOnPmTHVDkm7dfvvtPX427r77bqy1qpxbXyN4XKBiKdYMbXvuuSfWWk444YQu2+666y6MMZrJWbpoamrCGNNt5dzYsWOx1qpyrj+EzWdGWE4TRtHv0Je+9CXmzp2bf2yMoaWlhfPPP7/XsaqktDbccEOstfzsZz/rsu03v/kNxhiee+65QSiZDDXnn39+jwnTu+++i7WWCRMmlLhUZcyYcMsIojgzPOTGQv3oo4+63W6MoaGhocSlkqHonXfewRjDUUcd1WXb0UcfjbWWb33rW4NQsvJjMfmWDUUt4eaNG9YUa4aHn//852QymW63jR49WjOLCxD08jHG9Dhmqed5/Pe//y1xqcpY2HxmhOU0YRQdjX/2s5/x5JNP8qlPfYpkMskhhxzClClTWLp0KZdddtlAlFHWwymnnIK1liOPPLLLtp133hljTI+tIKS8NTY2Yozhoosu6rLtmWeewVqb77Im/chxwi0jiOLM8LLBBhtgreXf//53l21r1qzBGMOSJUsGoWQy2Ky1GGO6HU/qq1/9KtZabrnllkEoWRkL3YJuZMUZUKwZTiKRCNbaHivqHMfpsTujlL99992327HYIaiYUy+gARA2n9HfoU9Fj0E3ceJEFi5cyG9/+1teeuklfN/n6KOP5tvf/ramJB7CbrvtNn7xi190GWcDyP+g6e7TyLB8+fIeW8TNmDGjx+nupX+M1DHoiqE4MzxtvfXW+QqZT9p4440ByGQyPV5ES/noKxnSbIwDLMx7OwL/HIo1w0+uou6mm27iuOOO67Tt8ssv5/LLL+ehhx7iK1/5yiCVUEpps8024z//+U+325YtW8b48eNLXKKRYySPQTfQQl0lJxIJjjrqqG67KgxVK5vayJoIUdfg+Ravoy4q7VkSEYMxBsdAxrPEXEN7NtjBNRBzDS0Zn/F1VYP4CtZfNBrFWsuCBQu6HcDbGMMvfvELjj322EEonQw03/fzk4X0tL3cE6YVja20Zy3VMQcDpH1L1DH4FqIOuI4hZrNgffxIHGMtTrKRdGPjYBe9rFxwwQUceeSR+Uqb7gzHOJN54SHSUQciUchm8FubiIybjJ9szT82FVW4NaPIrlqOTbbi1I7GppM4iSr89lb85jU4VbVUfHn4/g5ba3uccCY3+7NuCJWvadOm8c4773S7bcWKFYwZM6bEJSq9B15bTn1FFN9aPGtpSERxneD6M+o4RFxIRBzaMj6+heqYQ7ZjpuT1Zky4Fgpl1qqhkDgDwzPWJNvbiURjuH4Gaxx84+JgscbgZJLYSJysBccYHOvhGxfXz+A5wWfSdQyJiorBfhnr5dhjj+XYY4/t9vfmq1/9KqAbQuVs/vz57L777t1uu/766/mf//mfEpeo9FKtzfhuFON7GD+LH4kDYG1HGPAyH1eGdfybbG8frOKWrUJjTTGK/tV64IEHul1vjKGiooLNNttM3eKGuBkzZuD7PhtuuCHLli3rtO24447juOOOY8GCBWy//faDU0Dpd7mxorqzZs0aRo0aVdoCjWRhuhKV2d2mBx98kEsuuYRdd92Vo48+mv3224+KdZIFxZnhL5FIYK3lj3/8I/vuu2+X7cYYvvWtb3H33XeXvnAyIB566CH22WefbrfdcccdHHLIIWV/E2hIMCZcq4Yya0LXV5wBxZpy8Pbbb7NmzZpuxzvN3RDKZrO93qCW4aOnm385qVSq295iMgDCDo0wwnKaMIquoNt33327HYwzt84Yw+c+9znuv/9+zcQ1hBlj+PDDD0mlUt1+iGbMmAGgirphrrdk6MMPP9TkD4NBFXS8+OKLvPzyy9x+++2ceuqp/L//9/846KCDOOqoo/j0pz+tOFNGvv71r/fY7fWee+7hnnvu4aijjuLWW28dhNJJf/jFL37B8ccf3+22733ve1xzzTUlLpFI33EGlNOUi/r6eqy1zJs3r9sxt3Ot6DzP0zhkw9R///vfXrurjoReQEOOKuiAwmJNsYp+hx599FE+/elP8+ijj9LY2EhjYyOPPvoon/nMZ3jooYd46qmnWLVqFaeffnqoAklpxeNxrLW89dZb3W6fMWMGxhiWL19e4pLJ+ohGoz0GqmuuuUYzsw4mDd4NwLbbbsvPfvYzli5dym233cbSpUvZZZdd2Gabbfif//kfZsyYoThTRnLdXrtz2223YYzh7LPPLnGpZH3cfffdGGN6rJzzfV+Vc4NCk0Tk9BZnrr76av7whz8opykjRxxxBL7v57u4fpLruprxdZjJTWjXU+Xc6tWre7wJKAMsbJwZgbGmscihkop+h04++WSuuuoq9thjD2pqaqipqWGPPfbgyiuv5IwzzmCXXXZh7ty5PProo8U+tQyiadOmYa1l6dKl3W6fMGECxpgeEywZfLkAZYwhm8122X7IIYdgreV73/veIJROcmxH96PilvK98PB9n3Q6TSqVwlpLQ0MDt9xyC6+//jorV65UnCkjFRUVWGt7TI5+8pOfYIzhhhtuKHHJpBg/+tGPMMZw0EEHdbvd930lTINJs7h20V2cueGGG9hvv/3Ye++9ldOUEWMMDz74INbabsfbhmDYF/0+DW1Lly7FGNPjEDyNjY1Ya9WydRCFy2dGXk5zww03MGnSpKKGdCk6Gv/nP/+htra2y/ra2lreffddIKjsWblyZbFPLUPAxIkTsdZ2mRkpp7KyEmMMvu+XuGTSG2NMj832L7zwQqy1/OY3vylxqaRbSpyAoEn4iSeeyIQJEzj11FOZMWMGr7/+Ok8++SSO43DCCSdw0kkndTpGcaZ8WGt54YUXut12wgknYIxh8eLFJS6V9OaYY47BGMO5557b7XZVzA0VYSvoyu/v1luceeONN3Ach6uvvrrLcYo15eHFF1+ktbW1x+3GGPbYY48Slkj6smTJEowxbLTRRt1uX758OdbabusipMTUgi6vr1hz/vnnd8lpelP0OzRz5kzOOOMMPvroo/y6jz76iDPPPDPfz/btt9/u8Yslw8ONN96I7/tccMEF3W7PNRNPp9OlLZjkrdtirjvHHXcc1lrOO++8EpdMpHfbbrstO+20E4sWLeLWW2/l/fff5yc/+QmbbbYZEMSZl156SXGmzM2cOTM/s3h3pkyZgjGGV155pcQlk3UdccQRGGN6HCcwm82qYm4ICduqodySpr7iDMAOO+zA6tWrFWvKWGVlJdZaVq1a1e32xx9/HGMMs2fPLnHJZF3vvPMOxpgeZ8JcuXIl1lrGjRtX4pKJ9K6QWHPYYYd1ijN9KToa33rrrSxatIiNNtqIzTbbjGnTprHRRhvx3nvvccsttwDQ0tLCD3/4w2KfWoYYYwznn38+1lq+/e1vd7tPPB7XFOYllkuEemoxt/XWW2Ot5cYbbyxxyaQgxoRbysgBBxzAe++9x5/+9Cf23XffLrOr3XrrrSxdupRoNKo4MwJsv/32WGtZuHBht9u32WYbjDF4nlfago1wV111FcYYfvnLX3a73fM8rLWaHXHICdmCrsxmce0rzgD86le/Yvr06cppRoCGhoZex0J9+umnMcbwxhtvlLhkI9uyZcswxjBt2rRut7/++utYaxk9enSJSyZ9CpvPjLCcBmDMmDFF9T4sumZl+vTpvP766zzyyCO89dZbWGvZYost+NKXvpSvMNh3332LfVoZ4u644w6uu+66bvv6e56Xv/v0xBNPaIakAdLS0kJNTU2P25988kndARwOwrRUKLOWDT2NG9Le3s4VV1zBeeedpzgzAm233XZYazn66KO57bbbumzP3QxqbW2lsrKy1MUbMXprCbfjjjvyz3/+s4SlkaKFTYDKLGkqJM4opxl5cmOhPvTQQ+yzzz5dtm+55ZYAvPvuu0ydOrXUxRsxLrzwwh57aYFmZR0Wwra8HoE5TbGMLfOpbJqamqirq+M/7y9jVF0tUdfg+Rav41WnPUsiEnQTdAxkPEvMNbRngx1cAzHX0JLxGV9XNYivZGi56KKLOP/883vcrh/W/uN5Xq+tFO+66y4OPPDAEpZo+FrR2Ep71lIdczBA2rdEHYNvIeqA6xhiNgvWx4/EMdbiJBtpamxkzNQtaGxsDD3uRe636KN3X6O2l4rWbo9tbmbMJp9ar/MPJa7rsmzZMsaOHdtp/apVqxg7duywaymV+9uufOw31EQdiEQhm8FvbSIybjJ+sjX/2FRU4daMIrtqOTbZilM7GptO4iSq8Ntb8ZvX4FTVUvHlYwf7ZQ26pUuX9tq17IMPPmDDDTcsYYnK2w477NBjd+N4PE4ymSxxiYavB15bTn1FFN9aPGtpSERxneD6M+o4RFxIRBzaMj6+heqYQ7athU0nTViv3/ljjjmG8aOqOf+s04o+9oUF/2K/w49l2bJloc491JRbnIGPY81/ly+nurYO189gjYNvXBws1hicTBIbiZO14BiDYz184+L6GTwn+Ey6jiFRUTHYL2dIaGtro6qq5/xu3rx5HH744SUsUXl77rnn2HnnnXvcns1m1Sq7QKnWZnw3ivE9jJ/Fj8QBsDa43+J4we8DkK8Ua2pqYtz48YOWz4BymkKE6pv42GOP8dhjj7FixYouzfW6u+st5ee8887jzDPPJJFIdLvdcRyeeOIJdtttt9IWrIz0FcT+8Y9/8JnPfKaEJZJ+YRwotpVpGd5t6q4C/1//+hcNDQ2A4ozAhhtu2OvYZhtttBFbbrklr776qm4IhZROp4nH4z1u32effXjggQdKWCJZbx1j0BWr3GbWKyTOgGLNSJcbo+6KK67gzDPP7LL9iCOO4IgjjqCtra3HnEf61leM9jxPPbCGmzD5TO64MlJorClG0RV0F154IRdddBE77rgjEyZMGDYXxVnfUhFxWJP0iLlBazkA3watZtozfn59xEAiYmjL+FjzcWu6FY2tVEYd1iY9auIuq9qzGKAi4pDM+sTcYJuPZdqoGGvTPrUxl0hyLStsNQCjKlwaUz7VMYfG1Mc1qqvbs9TFXSoiwfp3VrdTEXHIeD5zthiaA2Lmmon3dPdp9913z/+/zBtq9pu+WsvB8Go10tLWzoq2LImO70h1zCURMWR9S8YPWq29sSrJlFFx2jM+UcfQkIjgWUvGC1q6Zv2glWtT2qe+wmVlW5YNKiM0pYIL6YaEi7WQ9nwqsy0s9yupr3DxLbRng30SkSAYGGNwjcUQtIz1LPn/Z31LYp3Wc9aCZyGeTeNX9OMdnhHcxbW+vj4/scnmm2/eKX54nkdLSwvHH3/8sI0zJp7Aqa7Cb1odPK6owqaTmEgUC8G/6SRe81rIdkywk02D72FT7ThVNdi2JmyylfaHfo5xHPzmtTg1o7C+z8rnXyJSVYEbjZBpTZJubsO4Dm40Qqy2Et/zqRo/mv/+32vB+V2H5JpWUk1pqifUUL/5JNo+WkusppJVry6mavwoWpevpW7KOCZfevvgvGkFsNaSzWaJRqNdtr3++uv5i/pUKkUsFit18Yalz33uczz77LM9bv/pT3/KqaeeOiy+e9O/dz/GMbQ1NhGtqMT3LXUbVDJqTBXZtE8k5pBJefi+JZvxiMUjNDQkWNuYJJ6I4mV9MimPDUYnqKmI4DoOm4ypYkVTitWtKVzH8NlNR7NkZRtTx1SxujXNhLoKKlyH6niElW1p6iuiVEZdXMdQGXWojLpURl3aMh6VUZfmlBdc0/k+NXFDzHGwFjJ+cG3UnvXp+ukOyZgRnTQVGmdg+OY0EPyZrRMJWs4QzMJrAOsGn6QIPinfIZ77LFiftBfkKp5vSTeuxI9VgfUx1g9a4liL8dJBExzAi1TgW4sFogayFqI2m9835YPnWxwDMdehKe3hGpPPceribsd2g4OlYghXcJ1xxhmceuqpXHbZZd3OVJ0bVuHf//43W2+9damLNyw9/PDDzJkzp9d9hlPFXLK9Pf99SZtI/jsRy7SSjVUTaV1JqnI0URPc8HBTLVg3inVjWGMwfpD3W8fF8TLge+C4wffYS2PdGH7HWKDGgLGWrA3qJbAf3zzItZjFieBkU8HzOxGMDVrRetYSBaxxMNYnYyK465y/34zwLq7FxJpiFV1Bd+ONNzJv3jwOPfTQUCeU8pO7+7R69eoeB/HMfWiXLVvG+PHjS1m8YeHkk0/mmmuu6XWf5uZmqqurS1Qikf43d+5crLUcddRRXHjhhdTV1eW3xWIxpkyZwqxZs5gwYYLijHQSiUSw1pLJZHqshMu1BPvJT37CWWedVcriDQuLFi1ik0026XWfX/ziFxx7rLpXD29mRCdNhcYZUE4jnUUiEc455xx+8IMfcNFFF3U7Rto222yT/78aH3TVW4xel947Ge6KiTXFKrqCLp1O99rtTkau3AxJc+bM4eGHH+52nwkTJuT/P9LHqVu+fHmn96MnCmJlZgS3oMuN4zJ16lR23nnnbltEgeKM9CwajWKt5e2332bzzTfvdp/vf//7fP/73wdgyZIlTJo0qZRFHFKstQW1TshkMpqRXcpCoXEGFGuke8YYzj//fM4777xefz9zOcxtt93GkUceWariDUn7778/9913X6/7aOijMjPCW9AVE2uKVfQ7dMwxx3DnnXf2WwGk/PzlL38hnU73OaC04zgYY3jnnXdKVLLB9/777+ebw/ZWOXfddddhrVXlXDnKBbRil2Guqakp//8ZM2bQ3t5OU1NTt4vijPRl2rRpZLNZstks3/ve93rcb/LkyRhj+N///d8Slm5wpVIpampqgsmv+qic830fa60q58qJMSHjzPC/YVpMnAHlNNI7YwzWWtLpNM8991yP+x111FH5a/vhOPlIGNZafvrTn+Zfd2+Vc83NzVhrVTlXbsLmMyMspwmj6CuyZDLJTTfdxN/+9je23XbbLrWFV111VaiCSHnJfS6stTz55JO9/ihPmzYt//+mpiZqQswIM5QV2oLh/PPP73XKcSkPNsQA3uUweHd9fX1+lqNRo0Z123o2N9DqiSeeqDgjfcrN9HbNNddwzjnn8M1vfpNnnnmm232vuuqq/Ofm/vvv5+tf/3rJylkqt912G0cffXSf+4301uvlb+R2cS0mzniep5xGChKNRtlpp53wfZ8zzzyTK6+8ssd9173ZUY6/tR9++GFB42CvXbu2U5c/KT9h8pncccNdsbGmWEVX0L388stsv/32ALzyyiudtpXbj5D0j1133TXfEmz+/PmdJo/4pHWnW66uruajjz6iYphNBf/OO+90qnTsy3AaIFX6wQjt4vr444/nZzN6/PHHe40XF1xwgeKMFGXcuHE8/fTTQDDW6cSJE3vcd9999+30eNGiRUyZMmUAS9f/MpkMhxxyCL///e8L2v/dd99l6tSpA1wqGQpCJ00M/9/WYuIMKKeR4hhjuOKKK7jiiitoa2tju+2267UX0LrX9nfeeScHHXTQsPtc3XrrrRxzzDEF7XvhhRdy3nnnDXCJZMgYwV1ci401xSq6gu6JJ57o1wL0JpvNcsEFF/Cb3/wmP17XEUccwbnnnqsKjWFqt912y3fdvPDCC7nwwgt73LelpaXTlOYffvhhQWO2DZa+ZsVbVzqd7te+6jKMGFN8V6JhdkHXnV133TX//766OZQyzoBiTbmZMGFC/qbQv/71r3wC3pN1K66Geuu6++67j/3337+gfZcvX864cUNzFngZSCO3BV0xcQaU00h4lZWVvP322wC0tbVRVVXV6/6HHHIIhxxyCAC77747jz322JCtrFu7di319fUF7fub3/wm/7pkhAmTz+SOG+aKjTXFGtIR4bLLLuPGG2/kuuuu4/XXX+fyyy/niiuu4Nprrx3sosl6MsZwwQUXkM1m+fWvf13QMRMnTsyPdWCM4e6778b3/b4P7GfW2nxt+bpLX5Vz//3vf/OVk6qck1K4/vrrmTp1KhUVFcycOTPfwqgnTz75JDNnzqSiooJNNtmEG2+8cUDKdfvtt/O73/2uy/rf/e53/PKXvxyQc/ZGsaZ8bbfddlhr+cc//tHjLOPr2nfffTv9rl9wwQU0NjaWoKRdvfXWW2y00UadytNX5dxdd92VjzOqnBuhDB8nTsUuISjOFEZxpnxVVlZirWXp0qX5geN788QTT+TH4TbGMHv2bBYtWlSCknbV1tbGGWec0SnO9FU5V1NTg+d5WGtVOSclMVTjDAxMrAlVQffPf/6TM888k4MOOoj99tuv09KfnnvuOb7+9a/zla98hSlTpvDNb36TPffckxdeeKFfzyODx3VdvvOd7+QTitbWVl577bWCjj3ooINwXbdTUPnBD37A2rVr+7WMq1ev7nQOx3HYY489Cjo2NwC3tZaxY8f2a7lkmCrRgKp33303p5xyCueccw4LFizg85//PHPmzGHJkiXd7r9o0SL23ntvPv/5z7NgwQJ+8IMfcNJJJ3Hvvfeu7yvu4ic/+QkbbLBBl/Vjx47lxz/+MVC6OAOKNSPBZz7zGVauXJmPM83NzQUdd+GFF+bHF8ktp5xyCgsWLOjX8qXTaU444YRO55k+fTpLly7t89jly5fn48yBBx7Yr+WS4ah0k0QM9zgDymmk/0ycOJF58+ZhrSWZTJJKpTjllFP6PO7pp59mk0026fT7v9NOO3HHHXf0a0ME3/fzLfdyS1VVVa9j6uWce+65+TjT1NSkVp9SskkihnKcgcJjTTGK/nbddddd7LLLLrz22mv84Q9/IJPJ8Nprr/H444/3+2CQn/vc53jsscd46623gKCryjPPPMPee+/d4zGpVKpfZs+QwVFZWcmWW26ZDwKvvPIKm2yyScHHX3rppdTX13dp3bY+SyGtLnJuu+02rLUsW7YsPzikyLqscUItxbrqqqs4+uijOeaYY9hyyy2ZO3cukyZN4oYbbuh2/xtvvJHJkyczd+5cttxyS4455hiOOuqogi7cirV48eJux8PaeOONWbJkSUnjDBQfaxRnhrfKykqqq6vzcWbVqlUFj7EDcPXVV7PDDjv0a5yJx+M9fje743keK1asIJPJqKWcdNYxBp3iTO9xBpTTyMCJx+PEYjF+9rOfYa0lk8kU3GMI4B//+AeHHnpol4YI67O4rssXv/jFgsuwdu1a2traWLt2LRdffHGYt0HKWNg4U2ysGcpxBgqLNcUqOhr/+Mc/5mc/+xkPPfQQsViMq6++mtdff51vfetbTJ48OVQhenLWWWdx8MEHs8UWWxCNRpkxYwannHIKBx98cI/HXHrppdTV1eWXSZMm9WuZpLS22mor/vOf/2Ctxfd9fN/nRz/60WAXC4BEItGphZy1liOPPBKA8ePHD3LpZMhaj7tNn7xQT6VS3Z4inU7z4osvsueee3Zav+eee/L3v/+922Oee+65LvvvtddevPDCC2QymX544R8bO3YsL7/8cpf1//rXvxg9enRJ4wwUH2sUZ8pLQ0MDN998c/533Pf9Qetu1J0VK1Z0ijO5mcHHjBnTacZAkUDIFnQdk0SMlDgDymmkdCKRSKceQ77vD6kK13vuuadLnKmrqyORSGg2VuneeragKyTWDPU4A4XFmmIVfWX3n//8h6985StAcHegtbUVYwynnnoqX/jCF3od9L9Yd999N3fccQd33nknW221FQsXLuSUU05h4sSJPfbxP/vssznttNPyj5uampg0aRJp3+JgaUx51Fe4AEQcg7UWzw8Gk/YtpH2L6xjaMz4ZHzxrO/YD30DUZkl6kPAt1VGH9qwl5hrSniHl+XjW4lsL1sdaWJP0GAP4QMeY1QCkPUsqa4lHDFVRh8aUwQJNaa9jWzAl7z+XrMGz0JCIsKw5xYa1Fby7uo3VyQyb1lfy1qpWNh9dxcq2DG0Zj6ZkhrHVcRLR4DXWxFyirkNl1KE55bGqLc0mDZWsac8wZ4vhddc91xrtBz/4AT/4wQ/y633f56qrruKMM84Y0PMvXrx4QCoHhoLVzW2kPEtd3KU961NNmv9mIoyLeVg3RtILvgeLGtNsXuWx2o/TkvaJuYbqmINvoTHlsUHCJbnOZzsRcUhmLTHHEnMd2jI+qSwd3xlLLO7SkvZoy/i4xhCPdL5nYG1QpjVJj6hj8C20Zy0dX1kqIgbjezh+lrQXIRKrwUl6tGd84hEHh4+/5xn/4ymv077FMeAacDu2+xZ8N4rjZUhlfdyO8/mV9dDc0m/vdTDDXnEtK3P7f/Li/Pzzz+eCCy7osv/KlSvxPK9Ly5px48axfPnybs/R3YDy48aNI5vNsnLlyn6doOWggw7ipJNOoqamhtmzZwPBeBEnn3wyBx10EDfccEPJ4gwUH2t6ijM2ncJv8zEVldh0EhMJxpq06SS246LAJlsxsWBmaptKYurH4q1ajlM3GlId+/keZDJYwEulMFU+TkUlxnVwoxGM6xCtqiDd3IbjOKSbW6kYXYvvpXFiEXzPJ15fE2xraseNOcTra4jVVpFpTeIl00QqIqTWthCpiND20RoWnX4oLUtXsfKNVdRuFMymHa+NEa9N0LqimbaV7Xhpj9HTGmj8oAk35pJpyVBRX8GyF5fTMC0Ys2blW6upbEiQqK/Ay3jM/kf3F1BDmTGGKVOm5CeayFmwYAE77LDDgJ774YcfZq+99hrQcwyWjb59K248QeOS1xg1ZRuM42J9j9aPlhCvbiBaVUdyzXK8bJpMayMNm2xLsnEVXrqdURtNIZvxsL5l1JgqVi5dTSQWJ5aIEktEcSMGqCXZmqRugxqi8Qhe1sfzfGzKkmrPEIm6xOIRUu0ZmpodYvHgErilMUnd6ErWNCapjFXRls7g+ZZRlVHSnk/MdWhPB9dknrVUV0RoTmWJJmJkvKD7WdR18K3FxeD5EHcdVrSmmFATpznlEXWD3/BRFVHaMz5u3OAADoaI27/vc5gYkzuupaWlSzJernEGhm9OY02QlxjrY50ITkflapDPOJ2TO+sH3zUnQtxxML4XPDYOxksHybL1cbKpIFExJjjGBp9tzwbXSlifiHGwn2jbkfIsNTGHtOfj+eBhSWWD/zteBtwopuO3NNW0GoBMJIFng2vBrG+J4oNxcNKtePFqnHQbGAeTTYITCdZ5GdImgrvOZ9uxHhkcYn6aePXwqkQyxlBTU9MlzqxevZpNN92034frWddhhx3GrbfeWpY3eJrb2on5aawbw0m3AuBHgwkHjZfBulGyOEQMmGyKdhPDdUxwjBMhg4NrDMmsTyLq4HiZoNWX4+L42Y7/R/B9MH6atI0SdSJB7h+J4fmWGBl8N042Vo2bacNGgs+s8bNBuTqe0xgfrE/GQtSN4Xd8jx0sJpPCRuJBOf1s8OKsj+fGg/8aEzyPEwHr4xsX18/gO1FMx3aMi29dXEP+OxgmNvRkfWINFJbTDPU4A4XFmmIV/c1saGjIj92y4YYb8sorr7DNNtvkm8H2pzPOOIPvf//7+Re3zTbbsHjxYi699NIeg1k8Hicej/drOWRocxyH008/ndNPP73HfXJ3g4wJKmNyMy5lMhmefvppdt11VyKRiLqlyoCztnNlfaHHALz//vvU1tbm1/f1W/fJz3Jfn+/u9u9u/fq65JJLWLx4MXvssUf+AtH3fQ477DB+/OMfc/fdd5cszkDxsUZxZmSaMWNGl2RqXeu2bvN9v9PMfs8//zybb745o0ePVpyRgRUixuSOq66u7jLuYbnGGVBOI0NPQ0MDa9as6XH7J+NMMpkkHo/jOA7vvPMOvu8zffr0AfteieSEyWdyx0FxOc1QjTNQWKwpVtEVdJ///Od59NFH2WabbfjWt77FySefzOOPP86jjz5a8MD5hWpra+syCKXruoMyc6cMb7nxF3L/r66uBiAWi3X63CqQyVBWW1vbKZj1ZIMNNsB13S53l1asWNHjeFXjx4/vdv9IJBK6iXZPYrEYd999NxdffDH/+te/SCQSbLPNNmy88cZAaeMMKNZI/1g3zjiOk48zALNmzeq0n8hAsXT05CiST3BMITEGhn+cAeU0Mvx8Ms5UVlbmt02bNq3TfiJDWSE5zVCPM1BYrClW0RV01113HclkEgiaXkejUZ555hn2228/fvjDH4YuSHf22WcffvSjHzF58mS22morFixYwFVXXcVRRx3Vr+cRESkV3xafPBW7fywWY+bMmTz66KN84xvfyK9/9NFH+frXv97tMbNmzeLBBx/stO6vf/0rO+64I9FotKjzF2rzzTfPX1CuezFZyjgDijUiIsUa7nEGlNOIiIQVJp/JHVeo4RJnoPdYU6yiJ4loaGhg4sSJwcGOw5lnnskDDzzAVVdd1e/NsK+99lq++c1vcsIJJ7Dlllty+umnc9xxx2kmGREZtmzIpVinnXYat9xyC7fddhuvv/46p556KkuWLOH4448HgmTksMMOy+9//PHHs3jxYk477TRef/11brvtNm699dZeu46vj1/96ldss802JBIJEokE2267bX6Gs1LGGVCsEZHyETbGjLQ4A8ppRETCKlWsGepxBvqONcXql9Ehk8kk119/PZdffnmPA/aFUVNTw9y5c5k7d26/PaeIyGDyLflJLoo5plgHHnggq1at4qKLLmLZsmVsvfXW/PnPf843uV62bFmn6b+nTp3Kn//8Z0499VR+/vOfM3HiRK655hr233//4k/eh6uuuoof/vCHnHjiieyyyy5Ya3n22Wc5/vjjWblyJaeeemqXYwYqzoBijYiUDxsixuSOK1a5xRlQTiMiUogw+UzuuGIM5TgD4WNNbwquoEun01x44YX89a9/JRqNcuaZZ7Lvvvty++23c84552CM4eSTTy66ACIiI0lugN9ijwnjhBNO4IQTTuh227x587qs23XXXXnppZdCnasY1157LTfccEOnO15f//rXmT59Ov/7v//LnXfeqTgjIhJSmJgRMswMuziz1VZbcf7557Ny5UrlNCIiIYXJZ3LHFWuoxhnoPdZccMEFA1tBd8EFF/Dzn/+cL33pSzz77LMccMABHHXUUcyfP59LL72UQw45ZED79YqIlINStaAbypYtW8bOO+/cZf0///lPGhsb2XjjjRVnRERCCNuCbqTEmZ133pkPPviA6667TjmNiEhIpWpBN9T1FmuWLVsW6jkLHoPunnvuYd68efz+97/n4YcfxvM8mpqaePXVVzn88MMVyEREpCCbbbYZ99xzT5f1v/vd75g8ebLijIhISKUcg24o6ynO3H333biuq5xGRETWW2+xZt2ZlYtRcAu6999/n09/+tMAbLfddsRiMc466ywikX4Zxk5EZMQot0SoWBdeeCEHHnggTz31FLvssgvGGJ555hlWr17NT37yE0BxRkQkDEvpxqAbynqKM4899hiAchoRkfVUZmEjlN5iTXcVd4UouAVdJpMhFovlH0ejUerq6kKdVERkpMo1CS92KSf7778///jHP9hggw24//77ue+++9hggw0AOk2brjgjIlKkjnGBil7KLNXqKc783//9H57nKacREVkPYfOZkZLT/N///R/f+MY3Qj1nUbeKzjvvPCorK4Fg0ohLLrmkS0C76qqrQhVkoBmgOWNJRAwx1+D5lrRn8SwYYzAGoq4h61uaUj5RBxwDyaxP1oe6uEPGB9+N4tk0ABkfPGuJucHxrWmfjGeJuoakb2jPeng+tFfVEcv6tGd8XMfQnvXxrMHHAkF5oo4BIJW1JCIOUdehJuay08b1OMaQ8SwbVMaoiDg0prJsWFNBdSzChJoK6hNR1rRnAIhFHGrjEVzHsLItzYTqOI2pLBvVxvF88BNR2jIeW2xQyQ3Pv4dnLduMraGhMsqrK1rYoDLGipYUG9ZW0JjK5v8fdYO6XMfAyrYMlVEX31om11UwrirKE4vWMLoyxntr2/nc5Hq2mlA7GH/msrVoZTMbVEaIOCb43PqWyoghayHe+hGZ6rEksz4Ala4l21H3HvVSpN04yaxleWuGcR3PkfUto/xmVpka4q7BAi1pn0Qk+BzaSJxqLO04VLauwq0cTcqz1MZccB28bPBd8oHKqEN7Jjh3Uzr4tz3r4xoHz7FURR2SXtCBJuoYkp7FGEPENaSyPlHH4FtIRIJytWd94q6hPWupjQevw1pL2odExFIRMTSnPADiroOTaaM9UkXEsURtFs8Gx/oEZUl5lsqog2MsGQvRjtsSaS/47kLwG2BtsD/WJ+JEiBjwjcE3UTAF38voUykniRjKZs6cyR133NFp3Z133jms44yTqMQYHxOJge9j00moiILvY1wXvy2JiUSxbU3guDhVNZhYBSZRRXbVcpxIlNTqRiomTQLfw2bSWM/Ha1xFbMoWJMa8RrYtiVsRw62K4mWytC1fhRONkm5qw0sG+1eOrcfLZGlasgI35lI3dSx+OkNqbTN+JouXyeJEI2RaUzQva6FmQjVutJ2Vb6yior6CSCJCtj3LmnfXMmn2BrCimWwyG7zGmIuf9sm2Z4nXxakaV0XG91n99hridTGicRcv4+HEHDLJLA9M2JoxW44GwE/7pJpSLPqgiTHxCG82p9ll5nhSTSneWNTIFlPr+NMrH7HXZvWkWzKM2riONe+uJVodpXpsFW+/vpLNtx5DNpll7ZImvrbslcH8c5edPa55Gt+3NK1qIxJ1iSUivPfyYkZNGENFVZR4RZRsxmPNf1vwfYvjGIxjWPvBe9SMn0yyqRE3nqD5w3dI1I8n1bKaug03Zc17r1M5ekOM49KyfBFeOkm2vQXjuDjRGG4khvU9Mq2NRKvqiDku2fbgHJlkCwDGMXhZn3TzapKVH1esZFJZIlGX3M+3cVzSqSyRqMPo+gTLPmwm4/l4WZ94IooxhlR7lrrRlfi+xc1de7VnGFVXQSrrUxlzaU5mqamIEHMdWlJZGtsytKU9XGPwsMRch8qoQ30iSirrUxNzaU57RAmuJdsyHm0Zj8ZklqhrcI0h6pqO8eGC3/O0bzEmiEWuMcRN//wdLXREv+KPKzfdxZmc4RxrABws1nExvocD+es+gKwF13GxWR/jpchEEkQcF8+3RL0gX8A4weJ7YEzQhNJxMelWcIL00LEezjrXPxkLBgfHBufwfItvwetIutOej2MMYHAdsMbB2ODaK+IYiMRx0q04xmCxZH1LxDGYbLbTa7OROMbLYKMJnLY1mGgCk2knUlGLsRZrgu+SsT5JzxDDoz2ZxPMtsUwrNhInbSJkPEula0lZhwo/hfHSeBW1OJkk1o2SwcG3EHVM8FpTzaTjdUTw8Y2LMcFrrK5MDPSfc8RItrUGfw+y+G4U0/F76BPk0us+Tns+Fa4Jrt07fh/bspYqk8E6EbI4eB1/P9dLgbVEohWQ9cDxwfpYJ0IGJzjeGDAOWc/iuA4mWkE65ZFwPv7x9S1EOj7yjpfp+Az7WFysE8F4afxIPMglglQE42fBjYNxgs+5H3x3MjhE/CzG9/CNm2+m7DnRoLwdPN8SiTjkS+H74LgAWGPy660bw6Hj+2QMNvcdJqiPyH1X7brPiw84H/8m9OMPfSkniRjqeos1YRRcQTd79mzefPPN/OOdd96Zd999t9M+xvTT1YWISJnyKT55CpNsDTVNTU197rPzzjvz6quv5rsZKc6IiBTHEq67ajnkTIXEGQhii3IaEZHwwuQzueOGu0JjDUBtbfGNlgquoJs/f37RTy4iIp1ZW3wiVA6J06hRo/pMeKwNWld6nleiUomIlJeRPIur4oyISGmEyWdyxw13Ax1rNBqqiIgMuCeeeGKwiyAiMiKM1G5HijMiIjLQBjrWqIJORKSEwgyQWg4tG3bdddfBLoKIiJQxxRkRkdIIO+GDcpq+9d/I5yIi0qdQs+uVQcuGT3r66af5zne+w84778zSpUsB+PWvf80zzzwzyCUTERm+cpNEFLuUX5RRnBERGShh8xnlNH1TBZ2ISAmFSZzKYUDVdd17773stddeJBIJXnrpJVKpYDar5uZmfvzjHw9y6UREhq/cuEBhlnKiOCMiMnDC5jPKafqmCjoRkRLKzbBX1DLYhe5nl1xyCTfeeCM333wz0Wg0v37nnXfmpZdeGsSSiYgMbxaLb0MsZRZpFGdERAZOqHxGOU1BQlXQ5ZrxzZo1S03GRUSkKG+++SazZ8/usr62tpa1a9cCijMiImHZEEu5KSTOgGKNiIiEV2isKUbRFXTrNuNbsGCBmoyLiBQhVMuGMut7NGHCBN55550u65955hk22WQTxRkRkZCs/Xjw7mKXctJXnAHlNCIiYYXNZ0ZaThNG0RV0ajIuIhJemJYN5RXK4LjjjuPkk0/mH//4B8YYPvzwQ37zm99w+umnc8IJJyjOiIiEFLrbUZkFmr7iDCinEREJK2w+U2ahpqBYU6xIsQcMRDO+UsjVREYdQ6bjNqHrABgAsr4lmQ0GLmzL+MQjhrRncQ35cTlSnk97xhB1gm2NKY+sb9kwkSXqOKxtz1JXESHiGDwL765JssXoBGnP4gApz9Ke8XENtGd9HHLnMBgT3L1MRByMgbFVMXxrWdOUYUp9AscYMp7FMYZJdQkqow6VUZcNKqNEHQfHMSSzHq5jaEl71FV8/KdtSERIRBwyvo9jDJ8bY1iShtGVMZY1J4lHHOriLvUVUVa3Z0h6PhtUxqiMukyojrO6PUNzKktl1MUDKqMudfEIKc8n6jhkfEttRZSMb9mgMorrwPOLV9OYzNKSzrKiNc200VWsbEszZVQC31oaEsH+yYxPczp4bt9aqmMRfGtJZn3aMh6bNSRoTHkkMz5jq6K8sbKNGeOraM9amtIeELxnqaylJu7QmPKoj7tURh1SnmV1u8fUUTFWt2epjjn5O8SNKY/6ChfPQmXUoS3z8ZCVTangfXSNoS7uEPVSOO1rydaOx8kkMX6WbKwaz1p8G3xeYq7B8y0+4PnwflOKaQ0VHX9TQ1vGxwfWJj3GVkZwDDSmfMZWRXAySTJunNVJj3FxS8ZEaMn4xBxDczr4vDgmKI+xwWfSGmjLWiojBr+ynvZsUIaMZ2n1DNVOlhbfpdmLUh+BjIHamEttzGFNyscYaInUYvzgcxx1DD4Wz0LECb4Tlo7/uxEyHZ/diGOwjkvSy1IXd/PvW1vGZ017lvpEhJhrqIw6uI4h6wd3SqqiDq0ZH89aPGtJRAyr2j3GVkUYUxUj6gTvX8w1JCIOjvWIuUE5ktngHK6BhPFIRJz8urRnybqVVDiwJmOJuRE8myXuOjhAIuqwut0j7lpMx/efjtdlrcXtOK9vg30dLwPGIYJPxjq4BozvYY3ph1+hQJiWCuXWsuHMM8+ksbGR3XffnWQyyezZs4nH45x++umceOKJnHnmmcMyzphELYY0Np3EqarBy6Yxjkt21TIiE6bi1NRjKirx1nyEiVXgrVqGCzjVo7DtrXipFJGqCmyqHRNP4FTV4iTbcCoqsakkkUQcL5nOn89LpnEr4gDE66tpWboSP5PFuA6xikoAYrWVVIyuxXo+bSvWEqmI4aczxGqr8DNZEvUVpJrSNH3QDECivoJ4bZxMSxov45Na00y8No4bbcPLeGRa07SvSeK4hlh1jGx7hur6CtrXpjCOQ1NbhicWN/Lt0QkyrWnciEOmNUPl6ARtre2kmlI0ZnwSbvDblk1mSbdmqIs6ZJNZxsUj+J4lkojQMK2exW+uItHkE62IBL+Jy1pwoy7vtKQ5NTKVzavj1EUdaqMuK1NZNtmsnpffWMW2W4wm3ZLBy3jUTKgmkohQPbaKFa+txHo+saoY0eoolaMTRBJRUk0p4rVxGhc3UlFfQawqSqy2krYVTUQqItRtuiHGdWhatIxMa4pND96b1nffJVIRJza6AZtOAhAZsyE2nSSy4aY4NQ3YZAsmVoGNV2GdCFgfG6siUzOetOezsj24joi5hrjr0JBwee2jJBnf5+1VbbgGPAvLm5Oksz6JmMvoyhhvLG/m3Y9a2GJCLZ5veWVpI/GIQ0N1nJZkhrpEjDeWNbHJ2Gre/rCJjcdWs6IpSU1FhFUtaeoqo8QjDiuaUlRXRFi5qp144uPrhlQygxNxGDVhDLG4S7o9i+s6ZDMexjFk2lNUVFXQunoNxnGDmdl8j0gsSjRRjXFcvFQ7ycY1pFvWUDV2MsZxg++J42J9DycaA8CJxHAiMYzr4kRiWN8j2biSSQ2VJNcE2yqrY2RSWdJtjURiGxFLJEi3t2Mcl1Fj6lnz31Zc16GiKvecDvGIg+f5xBNRkq1pUu0ZEtWx/GvMpIJriHhFlJqaODUVEda2ZUhnfTzfMrZ2FJUxN4hZMZfqighL17STiLk0VMWIug4taY/qeISMb4k6BsdAxgt+sCfUxGlMZnGyhoqIpc4N3t+oa0hlLcYEMampI3Y6/TRytoVQ48nZMkub+oozMHxzGmMtxkuDG8NYH+tEcDBd9vEtYByiJshzIia3zQfHBT/4DmAtxs/iRStw7TofROPg+9Bx6YRvg5kb4xFDFMgQPPb84PrR6bhWyl1S+8bFsR6ucYPrKwh+B3NPDzjZVP781g0qSY2fDX4rIwmMl8E6Ln68BmMtWB/PdmR1ThTH98EGr88A1jg0Zh1q4iYor+OQSnlUOEC2I34ag29csJa48claBx+HmBMJrsUjaZxoAjrGy1rb0kbMDfKdmBtcixs/i8m041UEv8FZ35Igg3Vj+W3pWA0RfKzjYi0YA26yibZINQBV7SvJ1ozFWvCsJdoxfH6W4BraWnCsh5Npx4tX42RT+JE4nm+J2iwAnhPFsV7+Pc0Q/L2tMTjpNmwk3vG+B2Vws0GsspE4fsdnxreWaLYd3CimvZFs1Qa4fga/4++RyvpUOJaUdaggi+9GMdbmr42dbArPjeNmgvMZ62ONg/GzZJwYEUP+XMZx8TJ+PjH3Mbh+BseJkPIg5prgs+JEMcbgY4JWV8bgELz/+MFnOGtNcB1vLa5xsG4Ez7ddWh95viXqGoyXIeN8HAOM7+HZ4HNo3RhYP58nuI7BGocsDlGbzX/2/Ei8o5VycE4s+NEEng3eU8eY4G6HcTAW/HgNGQtRLNaNYvwsTsd3IPdcpuMi31pwOn6HrRPJv7+eE8WYju90UNqgPB2sMbhA1ga5j2+D1+wYg0/wHXSMm/9b95ewLa9HWk4TRtEt6AaiGZ+IyIgRplVDmQSz7bffnuuuu441a9bwox/9iJUrV/J///d/PP/883z00UdcfPHFgOKMiEhoIVvPlUsLukLjDCjWiIiEFjbOjMBYU6yiK+gGohmfiMhI4WNDLeXgs5/9LOeeey4TJ07kkEMO4bnnnmPHHXfkM5/5DNXV1fn9FGdERMKxhByDbrAL3k8KjTOgWCMiElbYfGak5TRhFF1Bd+aZZ7Lvvvuy++6709LSwuzZsznmmGM47rjjQjfjExGR8veLX/yC5cuXc9NNN7F8+XL23HNPpkyZwkUXXcSSJUvy+ynOiIiEE7b1XLm0oCs0zoBijYiIhFNMrClW0RV0QL834xMRGSlGcuIEUFFRwaGHHsrjjz/OO++8w6GHHsqtt97KJptswl577cU999wDKM6IiEg4hcYZUKwREQljpN8MguJiTTFCVdABVFZW9lszPhGRkSJU16MyCmbrmjp1KhdffDHvvfced911Fy+88AIHH3xwfrvijIhIcWzILkdlGmb6jDOgWCMiUqyw+cxIzWmKUdAsrvvtt1/BT3jfffeFKoiIyEgQ5u5ROd1t+qQnnniC22+/nTvvvBPHcZg8eXKfMUdxRkSkZ2FixkiIM/fddx/pdLqgOAOKNSIiPQnbGm6kxJpIJMJ3v/vdUM9TUAVdXV1dqCcXEZHOwgyQWi4DquYsWbKEefPmMW/ePN577z0+//nPM2vWLKZMmUIkUlBYEhGRblgLfogMyJZZ1tRdnLn++ut59NFHFWdERNZT2AkfRkJOc/3113PAAQeQSCRCPWdBEer2228P9eQiItLZSG5Bd+edd3L77bfzxBNPMG7cOA477DCOPvpoNttss8EumohIWbAWvBBTsnojJM4cdthhg1xCEZHhb6S3oBvInEa3kEREpCSOOOIIvvKVr3D//fez99574zihh0EVEZFuWOyIbkGnOCMiIgNtIGNNQRV0O+ywA4899hj19fXMmDEDY0yP+7700kv9VjgRkXLj2+KTpzDJ1lD0wQcfMHbs2G63Kc6IiKw/34IXImaEOWYo6i3OgGKNiEh/CJPP5I4rB33FmvVRUAXd17/+deLxOAD77rvvgBRkoEVcQ9SBrGPIepaMb3GMoTLqkPWDxzHXkPUhHjH55pdeR/PN1ozfcdETdB1IRAytbrCf50TJ+FlS6/QpaEp5xF2HtG+JA8YYEhGHRNShLePTnPaJueBicL0UrnFIZS01cQfPt7jG4BpDc9rDMYaqmEs6G5SxIuIwripOImpY1pKiJmbZoDLGhjUVvLe2nU0bEjSnPCpchw1rY7y7Jkl71ifqODQm09hIgmWr0mxQGWVZc5Ltxyb4sDVLRcShJQ0rmlMkooaYG2F5S5rKqEtjKsvbq1vZcWIdvrVUxyK4xvBBU5Itx1QSdQw1cRfHRHGNIeo4LG9JURuP0JLKsrKt43mSWeoqIsRdQ9qz1Fa4jK6M8N7aJBURh9GJCIsbk1RGXaJO8F5VuA4vfdjE2Kp6GhJR0p7FGKhwHZa3pKmojmEMJCLBe9ia9RlV4dKetSSiBt9aIq7Bs1DteCSJEHUMMdch7fn5v7UBLBBzHaIOJKIOngU3WoGNjOvUJNezlvaMjw9URh3SniXiGLK+xXGgMuoGz2ctkY6LPweIu4b2rMWzFtdAS9qnFp+IAdcYsB6ua3CAqGuIuQZjIG6Cf00mhefE8SykPUtlxGBNUGPvGkOL55P2LNVxn5gbwbeQtZD2g3MmPYvX8Vn3bFAm1zFEXAPZ4D3I+pa0B20Zn6pKF5NNE4sb1qaCH+KsdYg6wd/P73gfMr5lg8oI7VlLQ4VL1rc0pX2qYw5VUQefoLxVUYdWzyfdUYa0Z6mvcPE6pvTxgYxviTouUefj75wxhrTnkzERPN/Ds9Ce9UlEg7Jgg+9e2rPEHIPrBMdkvI+/M01pDweIOAbPt0Q7zu+tU5ZoJILJtONHK4laj7VpqIu7mH4MJp5ffPejMN2VhqLeAlk5xBnb3gSJCkysApvJYCIxiEQhEgPHgUgUm04GO2fTOFW14Dg4VbWkP3iXdFMriTENADgVlRCJ4cQq8JNtZN5/K1gfi+DGogBkWpN4yRQA0aoEXjJF85L/4lbEyDS1Ea9N4FbEcVyHTDJNam0z7ph6ANpXrMXLeLgxFzfmApBck6Tpg2YiFRHa1yRJNaVIrm3Hej5NHzTRMK2BtpXtWN8nk7G0/reVMVtPwI1+xNL2LFtVRxmVqaChMUXrijbSbRlilVGaP2yhdqMa2tckiSQiNGV9GnzLh8kszR+2EKuO8lHKo64lw+TKCI4b/Ga2rWxnddpjTNyl5aM2WrI+E2vjfLi4EdcY2j1LS9bHs8Hv2+QNa/DX6acXq45inBitK1qp3aiWdGuaeG0Mx3VIt6Rxoy4V9VV89Np/iVZEcKMdv6VRh2wyS7q1kVhVFOM6uLEI2fY0fiaL4zq0vfce0aoEmdZ2WLWaSFUFbs0ovMZVmHgCfB+bbsdm0piKakx7E8SrwXHyLZWMMTiG4PfYBzca/O62pLM4xuAaqO6IoYmYSzrr0572oDJ4fWvbMqxoTrFRfYLKmIvrBNcN6azPqMoo1RURXMdgrWVtW5pU2gOgrjLK6qYU0ybWUlcZ490VLVhrMU4Qe5xI8D5Eog6ZVJZY3MVxDV7HD5GX9fGzaRLVtTSvSONl03hZn1TLatx4MN5KVUM91vfw0u3EquuJVVax+t1X8LPB/um2RioiseB743tY38O4Lm4kAkTws+mOc6XJJFtoWTuWdFsrAL5vSbW2kGltpHL0BLIZH+tbIjEXL+vT2pSksjpGczKLl/WDsrVnSdTEcBxDbUOCbMYjm/Gor69gdTLL6OoYiViEtrTH6Oo4bkec+GBNG4lYhIaqGC2pLHWVUVzH0J7xyHg+Y6viNKayOAYc1+BbqIm7rGwL3qu6igjNKY+oa4LntJZkx/VYxO2I41GXrLd+vz3rGukt6PpKmMoh1mB9/EjwGnAiWGPAgoPFJ7judQw4BjAuxkvjmRiRjrpI343iZFMEF5YOWB+TbMZxIhgvC9k0fmIUJtMObiK4PsXBoeOazFoyHR8Xt+Pa15jgmtW3EHXA84JrZQdIez6JdepBc5/PCD5Yi0m1QCSGdWMfX285QVzyowk83+JZqCCLNU7+fGDxLdhIHNcYHOuB41LtukSaV+BVjenSnS6V9an0MvhOjCg+GCe/jzUOGyQimNa1+LFK3LbVRCobOmaetERz149eCutGMX4Wx8tgnSi+tRgvBdZiI3GMn8WzEEs3Y2NV+G4UYy1+rArfC943P16N15GP+hasG7zmbNYngh9ck+MQA5xMsuOcHhD8zazTkcYbB2sMxlpcDNYEvy0VbhTruEEZcXGwwd/cWrIW3I4GP64x4EaxxsFEYjhYrBPBWnBskE9aE5TD2mC9IfgcZC0YN4ZvLa7jdpTFyV+XQ5CHOCb4fGb9js8lQX7tYMH3yJpIkAu4wTV97oZBxg/yJQeLNUGM8iNxHC+D6ciVPWuxxiHTUa7cZwfjgBvkpcbPYt0oUZvFjQTvYxaHuBt8tqJ+EHNMxO0oW/BkWd8SzX3njAvr3ACxxsExYKxP1jdY18HNdvydvDQ4sY/fX+uRwSHqOJhsCpwgt7AYok7wt3P8LNaJkMXBweD4QWAwxiE3bJsx4PuQBRzT8TftWO/m8s3c97yjnI5xyPiWuPFxerkhUaww+UzuuHIwUJVzUGAFXX19fb7Z3pFHHslGG22kJuMiIiGM5BZ0vVGcERFZfyN9DLq+KNaIiKy/kd6CbiAVFJFOO+00mpqaAJg6dSorV64c0EKJiJQrv6O1TzHLSAhmijMiIusvN4trscsICDOAYo2ISH8Ik8+MlJxmfRXUgm7ixInce++97L333lhr+eCDD0gmk93uO3ny5H4toIhIOcl1lSj2mHLheR7PPPMM2267LfX19fn1ijMiIuvPx47oMeig5zgDijUiIv0hTD6TO65c9BZr1kdBFXTnnnsu3/ve9zjxxBMxxvDpT3+6yz7WBuMBeF4/DqQhIiJlxXVd9tprL15//fVOwUxxRkRk/QUt6MIdVy56ijOgWCMiIv2jt1izPgqqoDv22GM5+OCDWbx4Mdtuuy1/+9vfGD16dL8VQkRkpBjJk0TkbLPNNrz77rtMnTo1v05xRkRE+kt3cQYUa0RE+sNInyQip6dYsz4KqqADqKmpYeutt+b2229nl112yc+ANNCWLl3KWWedxV/+8hfa29vZfPPNufXWW5k5c2ZJzi8i0p80SQT86Ec/4vTTT+fiiy9m5syZVFVV5bdNnjy55HEGFGtEpDwEk0SM7C6u0HucAZTTiIisB00SEegr1tTW1hb9nAVX0OUcfvjhALz44ou8/vrrGGPYcsst2WGHHYo+eV/WrFnDLrvswu67785f/vIXxo4dy3/+8x9GjRrV7+cSESmF3CCpxR5TTr785S8D8LWvfQ2zzpTvn+xWVIo4A4o1IlI+LOGSJjsC44xyGhGRcMLkM7njykmhOU0xiq6gW7FiBQcddBDz589n1KhRWGtpbGxk991356677mLMmDFFF6Inl112GZMmTeL222/Pr5syZUq/Pb+ISKn5FD8+UJm1BueJJ57odXsp4wwo1ohI+fAteCHynzDHDGV9xRlQTiMiElaYfCZ3XDkpJNYUq+gKuu9973s0NTXx6quvsuWWWwLw2muvcfjhh3PSSSfx29/+tt8K98ADD7DXXntxwAEH8OSTT7Lhhhtywgkn8N3vfrfHY1KpFKlUKv84N5W6iMhQ4Pm26O5HYborDWW77rprr9sPPPDAksUZKD7WKM6IyFBlCdeFaKAbNaxZs4aTTjqJBx54AAhaG1x77bW9tiA74ogj+OUvf9lp3Wc/+1mef/75Ps/XV5wB5TQiImGFyWdyx5WTQmJNsZxiD3j44Ye54YYb8oEM4FOf+hQ///nP+ctf/tKvhXv33Xe54YYbmDZtGo888gjHH388J510Er/61a96PObSSy+lrq4uv0yaNKlfyyQiIuvv6aef5jvf+Q4777wzS5cuBeDXv/41zzzzTEnjDBQfaxRnRGSostbmE6eilgGuoTvkkENYuHAhDz/8MA8//DALFy7k0EMP7fO4L3/5yyxbtiy//PnPfy74nL3FGVBOIyIi66+vWFOsoivofN8nGo12WR+NRvH9/m206Ps+O+ywAz/+8Y+ZMWMGxx13HN/97ne54YYbejzm7LPPprGxMb+8//77QHBn0BhDxrd4FqKOIeIYHAONKY+sb2nP+LgG3HX6DyciwVvUnA5eWyrrk/EtSc+Sylp8LGuSQd/ijOfjW0tFxFAdcxldGSWZtfnnT3o+Wd+SiDqsac+wuj1D0vPBOGR9i+tAXdwl2/E2OsbQms5SE4uQzPg0JFwyviXqGCqjhkTEoS4ewbOWCdVxGhJRJtQE/7qOobYiStx1OsoFbRmPcdUxPkoFr29MVYwJNRW8sTrFqrYsGd+ysi1DdUXQsLI183Gf6Q0qo3i+pS3jURl1aUlng/fD84k6hpTnM6oi+Fy0Z30aUxk2qa+kIuLg+Za6eIQNKoPtVTGXmOsE7z+GmpiLbyHjWeriDnHXxXUMFZFgH9eBZNYnETFEXUN71uKaYL1vLREHEhGTX2KOwXUM7Vkf1wT7p7KWiGNo9V2aUx41cZd0xzQyXsfFbEXEIeNbUp5PpuNvEHMNTiZJxoJjPYwfvO6YzVIbc3AAxwT7RV1DxoeMD8ZAyrPB8alm6pwMrmOIOoaqqCHtWTK+xTHgRSvJWMj6Fqwl6wd91nOfw6hjSGV9Ulkf46XxfItrgvc5Y8E3bsfnOri4dg2YbIqooWM/i7XQUOGS9ILPrjEGay3tWUuFG5Qr5hhaOl54RcTgWUvWgl9Ri2MMnh98H7K+JR4J3v+qaPDYMYZE1MGzFtcxxFyDa4KyGxM8f23MoTLqEHWC11YdC46NucH3MuNbPD94P/2OfvtxJ3hf2rM+ad/m93dMUJaoY/Bt8HqNCVoOtGctiUhQlpQXvFfGBGXNjQ3gdXzefAvxiINnIeIYfAy4wec0g0PMMXi+Ddb3E9sxqGoxS7mNDXTvvfey1157kUgkeOmll/ItBJqbm/nxj39c0jgDxceanuIMlaNwqkdhXBcTjWJiFQDBukgMm0rijp6AWzcam06C7+G3NuPUjcatqiZeX4NJVGGiMZy60RjXxR09Huv5EIkRqQyeL1Y/ikxrO8Z18NJZKsePJtPajlsRJ93USvuKNaTWNuNlsnjJFLGaKozj4EYjGNfB+j5tK9toer+ZilGVGMfgxhyMa6iZUI3jOsSqYziuofW/rax+ew3VE6pJt6TxPZ9IRQTHNVTUV9C8dA2pphTVEUOkIkK8Ns6uG9dRUV9BrDKKG3Pwsj41G9XT3JiifW2KKtehveO72ZjM0rImmX9vayujZNuzLPlvK17GoyXr83pzGsd0/KZURFid9mjMeCRcQ1PW462WNB+lPNKtGTKtaRozPq3/bSXdkiFeF88/f6opTdMHzaRb0iTXJokkIlSOH02sKoaX8Ykkonhpj0xrhpb/tuKnParGjybTmqZtxVr8TBbrWaJVcdLNbWRa20k3tZFNpvCS6eBvnagK/q5tTZhIFBNP4DevDn5XfA9rHGy8CjfTRtqztGZ8ktng9y/bERcAKqMu8YhDW8Yj41sqoy6eb2lJZmnLeDQns2wytppE1KW6IsJG9ZUAtKSyrG3LUFcZZcKoBADJ1gwA8VjwHDUVURzH8MHqNhrb0iTbM/i+xfqWmsoo1rdUVMWIxSNkMx7GMcTiEeIVUYwTxA43lsBaSyRRTapxJdn2FqzvYX2PdGsj2Uzwf+O4RBPVVI+qwPoeFXVj8FLtxCrraF+7HOO4ZJIt+Nk00YpKWj/6gEjUJVE/jmRrx3saidG0/AO8VDvZ9hayGQ8nEiNSUU1NQ4L2lhRNH60i1Z7B+pZYPIITcWhqTBFPREm2pUm1Z8imPTYcU0Uk6hCNR3AjDhs1VJJNe3i+JeY6VMZcVjQlaUlmSMRcmpNZpo2rZnVrEHvTWZ901icRdXGMwbfB5ziV9WnL+FRGHVzHdMS64HoGIOo4WAtr2jPUxiNBvFpnMoeIC8ls//zOW0vRMWag48zrr7/Oww8/zC233MKsWbOYNWsWN998Mw899BBvvvlmr8fG43HGjx+fXxoaGgo6Z19xBoZvTpPFwfhe/vOT7bgGtLnPpGOwHdc7fsc1jZu7jHFcjO+B73V8WDysEwHHBesHi3EwXhrjpXENOFiMn8XQuUtbrlu0Z4NradeA65C/hs2Vz+u4TrPGwUbiZP3gmhzAj1ZAJAY2uMbF+nhuPCiDn4VoBU7HdaR1gvwk4hgqvHaiNotjwPhZHOuR7UhrHSw2EgvyqIwfnMsY2hMds/X6WaI2uJ43XpooQb6AG8X1g99La8HGazA2uO5c97ViDBgnKGO6FYeOjdngPbMd26OOASeCNQ5OJomPIYNDtOMaGRMc6WCJd2TkjpfBGBNc1/rZIDfoyD2M9THWJ9LxtzTWxxjwMcHflCBXCcpvg/N6GbB+voWsH4mD4+Zff/A8FutEsI6LdWP5z0HudWVssI/xvfz1sDWGrA1y1YyFiAmeO/e5y+IEz0lwbW5McIwFXMeADfLpjA0+A07HNmuD9wWC30fHdOzf8d4A+deae89yH+2MF+QjnhvPfxZy2z0niMG55/VN8BvurHN5b7IpjP34M2udID/F9zDWp70jQY84hoxnP97OOt8L6+Objt99mwXr4/oZrONiOj5vue+aNQbXz+B35FvJjo6N+ady3OC5rB98F6yP6fie5T4DGUv+t8DYIN9zjclvz/2b9S0Y5+PPaj8Ik8+MxJwmjKIr6L7whS9w8skn8+GHH+bXLV26lFNPPZU99tgjVCF6MmHCBD71qU91WrfllluyZMmSHo+Jx+PU1tZ2WkREhgrPhlvKySWXXMKNN97IzTff3Ck52nnnnXnppZdKGmeg+FijOCMiQ5XP0Iszzz33HHV1dXz2s5/Nr9tpp52oq6vj73//e6/Hzp8/n7Fjx7L55pvz3e9+lxUrVhR0zr7iDCinEREJK2ycGWk5TRhFV9Bdd911NDc3M2XKFDbddFM222wzpk6dSnNzM9dee22oQvRkl1126XJn7a233mLjjTfu1/OIiJRKmLtN5TYl+Ztvvsns2bO7rK+trWXt2rUljTOgWCMi5WN9WzU0NTV1WtYdAy2s5cuXM3bs2C7rx44dy/Lly3s8bs6cOfzmN7/h8ccf56c//Sn//Oc/+cIXvlBQmfqKM6CcRkQkrLD5zEjLacIouoJu0qRJvPTS/2fvz6M0u8rD3v/77H2md6ipq3ooDbSEzGRkbNngAI6RZBtCgklisljGNqxLci8hMRArN1yyWCYg7g3Wte+Kf7bjJI59MYJl40tuVpTBxGOMiLlAIsCykWMLsIUmNLRa3VX1juecvZ/fH/utV2qweiipuqurn89a7+qu933POc/Z55y997PfM3yBj3/849x00038g3/wD/jP//k/8/nPf54rrrhiR0E8lX/4D/8hn/3sZ/mJn/gJvvKVr/DRj36UX/zFX+Rtb3vbM7ocY4w5X3Z0b6BdvKHqiRMneNOb3jS/x82b3vSmMzYob37zm9MlGE96vfSlLz3rZa6vr/OVr3zlG97/1Kc+xbOf/ezz2s6AtTXGmP1DFWLUc3+pMhgMTrnn2dLSErfccstTLuvmm2/+hrbg61+f+9znAOa3mDg1Vv0L39/2gz/4g7zmNa/h2muv5bWvfS2/8Ru/wZe+9CU+/vGPn7EcztTOgOU0xhizUzvNZy61nGYnzukprm3bUlUVd955J6985St55StfuaOFnq2XvOQl3Hbbbbz73e/mf//f/3euvvpqfuZnfoYf+ZEf2dXlGmPMbtnJr0e7+WvTD//wD/PAAw/wm7/5mwD83b/7d3nTm97Ef/pP/+m007361a/mQx/60PzvoijOeplvfetb+bEf+zF++Zd/GRHha1/7Gp/5zGd45zvfyY//+I+TZdl5a2fA2hpjzP6h7OwSoqjQ7/fnN7jeVpblU07z9re/nTe84Q2nne9VV13FH/3RH/HII498w2fHjh3j8OHDZx3j+vo6R48e5ctf/vIZv3u6dua9732v5TTGGPM07PRsuEspp3nve9+7o/U4pwG6LMs4evQoIYQzf/kZ8v3f//18//d//3lbnjHGXCq2b9z92c9+dn5voF/6pV/iZS97GXfffTfPe97znnLa7Rt378S73vUuNjY2uPHGG5lMJrziFa+gLEve+c538mM/9mP83M/93HltZ8DaGmPM/qDsNGlK/57Lfc7W1tZYW1s74/de9rKXsbGxwX//7/+d7/zO7wTgv/23/8bGxgYvf/nLz3p5x48f5/7772d9ff2M3z1dO/P2t78dwHIaY4zZJ/ZiTrPd1pyrc77E9T3veQ/vfve7efzxx3e0QGOMuZTtpRuqXogbd2/7wAc+wGOPPcZ//+//nc9+9rMcO3aM/+P/+D8Aa2eMMWY/ecELXsCrX/1q3vKWt/DZz36Wz372s7zlLW/h+7//+09Jmp7//Odz2223ATAYDHjnO9/JZz7zGb761a9y++2389rXvpa1tTV+4Ad+4KyWe7p2BqytMcaYndprD4nYqznNTpzTGXQAP/dzP8dXvvIVLrvsMo4ePUqv1zvl850+rcIYYy4FT+cS183NzVPeL8vytJcfncnTuXH361//eo4ePco999zDP/kn/4Tv+Z7v4fOf//xZxfN3/s7f4Wd/9mdZWFjgxS9+8fz94XDIO97xDv7gD/7A2hljjNmBqBD22GVHAL/6q7/KP/gH/4BXvepVAPz1v/7X+fmf//lTvnP33XezsbEBgPeeL37xi3zkIx/h5MmTrK+vc+ONN/Kxj32MhYWFMy7vTO3ML//yL1tOY4wxO/R0L3G9VHKaX/7lXz7ndTnnAbq/8Tf+xmlv6GqMMeapbd+Q+1yngXRD6yd73/vex8033/wN37/55pt5//vff9p53nHHHcDOb9y97dprr+XFL34xR48e5eMf/zive93rTrtcgA9/+MP8n//n//kNSdZ4POYjH/kI73nPe6ydMcaYHVA99zYGdn+A7sCBA/zKr/zKab+jT4qh0+nwW7/1Wzte3pnamV/+5V+2nMYYY3ZoJ/nM9nRw6eQ052WA7i8qOGOMMWcn7uD07u327/777z/l/kBP9cvOXr1x9+bmJqqKqrK1tUVVVfPPQgj85//8nzl06JC1M8YYs0NP5yER+8HZtjNgOY0xxuzUTvKZ7eng0slpduKsB+hGoxH/2//2v/Hv//2/p2kavu/7vo+f+7mfO6ubwxpjjEmeziWui4uLZ3UD77164+7l5eX5I8yf+9znfsPnIsJ3fMd3cPnll1s7Y4wxO6C6s7PhdvsMuvPlbNqZ97znPbztbW+znMYYY3bo6V7ieinkNGc68++pnPVDIt73vvdx66238prXvIY3vOEN/M7v/A5//+///R0t9EIIUamDzld4EhQnIECI6d8INBHaqGROcJL+P6wjZSb86WMj6qjUIeJF8LOZBVVCVJwIIab5PTxsGDeRNiqqUM+GmE9MAmE2dLxQZtStIs2YqGlEufBC5qDMHL3CcWxzykLpWO1m9AuPF6GJSu7Svwd7OVGVbi4EVZbKjIXC0y88C4VHVVlfKNk+fnLnWCg9y52MENOBNWoCkzZy2UJJlTm6uWfSKlvTQDf3LJSepTKnbiMHOjlV5tiaBh4aTFmpcgovuNmpo9vza4KyUHqaqDxrucOhXknuHGvdAlUYt5EqS+vQLxyPjxseGdYADOqWrWlLmQl+to0AMif0C0/m4EDHE2J6v5c72ghOhE7uUjmNT+IkfW8hF0TSMp2kA6aNOj+oilgTFBxpW2UulWXm0vdCVhGi0uJQnxPzDuoyGoXFwqVfEKIiQO7SPrNYpHWvvKB5hyEFUdN+V2aOXu5QYNIqTVS8CN3czcoQqkxwKJM2kjmhjkrhHYibr0PmZLZfR+qgTFpl2ES8E2LRm+2bcHISePKZvaopRu+EwqcyjQrToOl9STF4EYLCY22ObydE0q8E3glehGmrdHNHHdI6bB9b0zbSzLZHmM2v8MKwjTw0aAizYyzENN1Cu0kbIXcpSC/CVh2ZtmkDNzEdq4e7GR2t6Reebu7oF262PopopHDCuIn0C8eoiTjASyrzcRMJMcUfZuW7rQ5pW+usoQkun3+We5nd0HR/JC5f73zfuPsTn/gE/+W//BdUlX/7b/8tv/d7vzd/fepTn+Itb3kLd91110XbzsTjX0OzkjjcQkPA9RbQyQitJxAD4j0AGgNS9SArcJ0etDWu08P30unxrjubLgSk0yM/ciXiHK7TI6vSL4zNcEJWFRSLPaYnB4hz+Dz95jY5vkXn0AriHBoirsgYHztBO6kJTcvgoQ2qlYpysaAZTmmGDdPNmoX1Pifv3WDroQE+d5SLJZsPbFEPGzQq7aRl8NAAgGq5orNSMTkx4bFBzZ8NG4pejvNCrAPtuCWrMgYnJgRVxDkerwN1VJZmdd3hMqOfOTaayHMPVDw+bohByXsFBwpPM2j41oNdet5RLhUcLDP+6K5jHCw9jSoruadyjjoq/czx4Ikx45NTNttA3iuYnJigs7bX547xiQmLVyzgC09WZYweGzE+doKthwZsfW1A3qsYPTZmfGJCtVjSTFoA2nFL78gBNER8lTN4aJOsKhg8+BiT4xsUCz3a8ZT25ONId5GwdRIpKtpjD0JMT4jU8RZkOaIRxKFZSScTqllHIqhSz/oGkzaSe+Gq5e6sXfM0QTm8WHFwsWSpzOgWnrqNPD6sufexEUWW5tMpPJNxQ6dI+1on9+SlZ6HKqNtIkTnGdUuWOcaz9QMoSk9ZeI6u9qi6BaGNLPcLyipncHJC0ckQB4srHTr9EueELPfkVYXO1nH1qufTXVqks3IE75/oXmZVH+8d1dJB8u4SvYNX0l87RFZ0iE2NOE+5dJAYFV90qHpFiqmTk1d9li67er6MycZjxDYy3TiGLztohOm4RbynbQJ55amnLTqr78eDmraOLK118ZmjU2TEqBSZQ0R4dHOCyxwHeiUb45qlbkG38HSKjIdPTnjpNavce3xEiEq/yuhXGQ+dnNDNU/luTFv6RcaoCSyVGVvTQN0qoyYSZm1KlTmaGBGBbu7RWV+vkzly5xCB9hl8kGhEU7/0HF/7ZYDuTO3Mfffdx3A4vKhzGidCg8M7QUXIBXIB0ZSLuNDgQkNUkBhQl+FEaBWCy5HYgkv7sMRZPaCpz6VZgcoTx2/ejonI/D3v0nxSPzF9J0SlDUok9TGdPPGZq4f0XZjPv53F7dop6vzs32z+uZts4DTMl6dZSRN13g+T2JJri2hEmnFaiKT+sXeCTLZSvHkHp2EeRyo3KLxDffHEm6pIOyWqoi4j+lQ+DiX6nIjMcjyoQ2TcxnkOoHknzUKE3Euq3wFXj8A96RwYcfNyzpwgs224vQ3QiLTTlB/O6jrEgWo622i7fLbL8EmHaspnQDQSEVocEgPeSWprJK2vQ2ln+wMaqSVDNOU9EmqmMe0/22WszqMiREm5p4R6vg6TNqb5ACJpnbbLSTWVh3eCm24RZjn1k4WYyrp0T/wtAuX2xoopj8y9kPPEsrbXP5VN+n9QJY8pfyx8yp2cBhRQn8/3/SZqmm677El5X8ppTglvXg6qaX/H56i4ef7uQkM1a3OrzNFI2tbqPNJOnogxhvky03EhoJr2bdWU52yv0yx+acbIrFzlyfWyxif2oSfF60Xm+/7Xc09K/uJsu+xney2nue+++/jxH//xHa3LWZ9B9+/+3b/jgx/84PwUwze+8Y1813d9FyEE/CzpMMYYc3rbydC5TrNbzueNu6+//noA7rnnHq688kqcO/U3oje+8Y3WzhhjzNOgsx8Nz9V+ucT1TO0MWE5jjDFP107yme3pdsteymmejrMeoLv//vv57u/+7vnf3/md30mWZXzta1/7hpv8GWOM+Ys9nYdE7IbzfeNugKNHjwLp1gn33XcfdZ1+/bzvvvtYXV2df8/aGWOMOTdxdlXHudrJNHvZU7UzkNoay2mMMWbnnu5DInbDXspptr3oRS8653me9QBdCIGiKE55L8sy2rZ9iimMMcZ8vcC531T1Gbz6aU84duwYf/tv/21+4zd+45T3Y4y8+tWvJoQn1tjaGWOMOXs7P4Nufw3QPVU7A6mtsZzGGGN2bif5zPZ0+8np2hrglJzmbJ31AJ2q8uY3v/mUJ2xMJhP+3t/7e/R6vfl7/+7f/btzDsIYYy4VT+chEfvFTTfdxIkTJ/jsZz/LjTfeyG233cYjjzzCm970Jr7927/9lMeaWztjjDFnz86gS56qnfmn//Sfcvfdd1tOY4wxT8PTfUjEfnG6tuaf/bN/tqN5nvUA3f/0P/1P3/DeG9/4xh0t1BhjLlV77R50F8Lv/d7v8R/+w3/gJS95Cc45jh49yitf+Uo+9KEPcdddd3HttdfOv2vtjDHGnL0dn0G3zwbonqqdWVxc5C1veQuHDh065fvW1hhjzNnbi/eguxBO19bccsstvOY1rznneZ71AN2HPvShc565McYY8/WGw+E8OTpw4ADHjh3juc99Lv/3//1/88IXvtDaG2OMMU/LU7Uz3/It38LW1pa1M8YYY56207U1X/jCF3Y0z2fucRPGGGPOKMZ0+dG5vPbbmQ3Pe97zuPvuuwH4tm/7Nv71v/7XPPjgg/zCL/wC6+vrFzg6Y4y5eG1f4nrO7cz+amasnTHGmF20k3zGcpqzc9Zn0BljjHn6thuoc51mP7npppt46KGHAHjf+97HX/krf4Vf/dVfpSgKbr311gsbnDHGXMR2eomrtTPGGGPO1k7yme3p9pPdaGtsgM4YY86jS3mA7itf+Qrf9E3fxI/8yI/M37vuuuv46le/yp/+6Z/yrGc9i7W1tQsYoTHGXNx2+pCI/XLjbmtnjDFm913qA3S72dbYAJ0xxpxHIZ574xTiLgVznj33uc/l8ssv58Ybb+R7vud7uOGGG7jqqqvodrt8+7d/+4UOzxhjLnqX+kMirJ0xxpjdt5N8Znu6/WA325pL5h50EfACIkInE7xAVAgKkxBxIvRzh5P0dBFVJXPCZh3wDgonrHVzurmjyhy5S9Pr7AWwUHpOTBoiyqSJPDaqaYLSxPSUk8IJoyYSFJaqDFUY1C1Sj+hkQu4kjUbP5tfJHM853Cd3ArP4t78XgQOVp/RCN/fkTujmjoXSkzsYNQGAwgu5cxReWCg9vcJT0QIwaSO5E5wI6wsFK5VnpZNz+ULFuImsdnMOdDy5c1y+mHNkocKJICkcHhvVHOrnnJgEnrVUAVB6z3KVMahbVqqMQ72CK5c69AqXyiATFgpHJ3OUPu1+ISrXrHTTeoTpfJsd7GY4EVYqz1o3P2V7ujZ9L6gyCYp34GfTtlGJ1RJR0zZqFBZny5wEpfBCVCgl0kZFXUYnE6YRurljqUzlqbPpx20km5WT+gJXD1FJ2wqNqCrtrILyLu1fkxBxgIrQSEYnT+ufO0FUWSjScryDKoyJquQONCtxAn5WyL3cEaLSyRybdSCUfQrvGNRp2zUR6qBMW2UhT/tG5oQoHmmnqCp1SK+oab7epf1o2EQ6meA0MG0jhRc6mcM7YdxGoiqlpPVDI4uFp/BCoS3V7Bhqo1JmjmmriAi93BFn+103T/tdlTmaoKyUnhPjhjJLMdazbYE4Vjtp3qrpePECmROknc7jGtSRkFWM21nZKkzadLyoOEZNpMzSPpU5Iej28e5oY4pve5/ZPvY7mcyXCzANyqRNLce8vJ60PZ4JO7lfw375temTn/wkb33rW/na177G2972Nq655hquvvpq/uf/+X/mV37lV3jwwQcvdIhPi+stIM0YKSqk7IDPkSyf/V1BNqvH2ga/egS/tIrrLUBW4FfXccuH0KbGrxxCqi7EgMym0XoCWUGoG7StyaqCcrlP//I1yuU+APXWkHprRLHYod4cojHiq5J6c0i1uoQGZfzoCWIdcN4RoxJDZLKZ6k5feHqHe0w3p0w3a8rFkodPThgPa9pxiwbl4WMjho+MGB0fM9mcMnxkyKEDHcYhknUyho8MaaaBdtKSdTLu3qrJnePhLzzAOKS28LnXrHCgcGy2kcXLFwBYOrqUjrfC0wxrBm0khkgzDam9DkrRzdloAnVUBm3kYJlxYtbWeYEDhWfQRjaaSHetg3hh84FNVo8uMTo+xnkh1pHNB7YYPjLi8S+fYPToJs2wZro5RZzj+LEh9bChmbS045bjf/Ig5WJJsdhjenIL5x2u8Ih3OOfIex3Gx06Q9zrEpiUOTpIdvJw43IIYiMNNaBsApJlCCEg9IoonE8gcVJngSHWmFyH3wqPDmrse3WKpzFjvl6x0coZ1S6/I6JcZozqt91Inp1t4QlSOrvbwImR5+ruTe7JZ/+H564tccaBLt/AUs3reZ44i8+RlhvOO8aRlY9yQlx6NysaoISv8bJeNxKBkszr2wPoC03HLZOMEvqiIbT0/Djora9TTltjWLB65DHEelzlcVtBOBvSPXE09bQltTWxrfFbgZ/P1ZYd62tI7+CwOP2sJjYGltS69g1eQdfpkZYcYlXLpIFWvYuVwj9hGVo6sUlY5w40pWe7Jck/Vzen0C0KI9BZLxAkPPD6i7OQ853Da75a7xTzuUR0YTJp5+RzoF6z1S559sAfAWrcgRGW5mzNqAlGVbu5pYuRZSx2iKt6lNs8JqU/jhaUqo5t7HGnbNjEybtMLUl8vaGr3ngk7vQfdfnmy3n5vZwBk1kdyoZnnIBFBQo1I6hNB6pMCSGjm23e7O6O+QEKNugwJDZpXSKjBZeAc6gsILdJOiKqo86neEHCzmWz3fUVkvqzMCV6e6IOpL5B6iGYlzOLKhdS+xYC0U0QjuAx1T5w3IqGBGFCXkc/m2Sioy+brh876az61kyEqohGHIqFBYjufn/qCnEgdIhJqos9xk43555nANIJoyguaWX4XZ338MOtH5k6Q0DBpZwUvDlHFi6BFl1ik+kJdNj8rtZ3FHVSRGFCY9zW9pPlpVqb8TyNOUj4gocY7SdsotsSsnH0uEMN8+u2cSJ60bXJiKtvQPLGORKL4tE1IOYojrWjhBYlt2k7bZRkDPqbpa1cQsxKRJ7a7QtqGqjgNuNn8pm1M5egLRASJIeVb20UmaVmRlI9lwpM+S2XQRqUJOivftC4ADkXnO3FMcYYGxM3yAZnvZ2NyJNQ4DU/kbOLm+WJEaIKikAIQxzTOjiVI+XtUos8RTXmS05DmEZv5/gGQu7TvMNvu6jLU52k9fY7TtL3m+6TGtG19QdAnlems/HW2LpmAOj/f3pEnys6hTxzPs/KbP1lV4/yYj6TjNsQnld0zYKf5jOU0Z2Zn0BljjDkvvvu7v5vv/u7v5j3veQ9N0/CZz3yG22+/ndtvv51f+7VfYzqd8k3f9E3zm60aY4w5N/FJyd652C9nNVg7Y4wxZrftZltjA3TGGHMeXcr3oHuyPM95xStewUte8hJe9rKX8Vu/9Vv80i/9El/5ylcudGjGGHPR0p3eg87aGWOMMWfpUr8H3ZM9022NDdAZY8x5FHfQoO2nxGkymfDpT3+aT3ziE9x+++3ccccdXH311Vx//fX8q3/1r7j++usvdIjGGHPRijt9ius+ucQVrJ0xxpjdtpN8Znu6/WK32hoboDPGmPMo7ODshv2SOF1//fXccccdXHPNNbziFa/gHe94B9dffz2HDx++0KEZY8y+oLqz+8ntl6e4WjtjjDG7byf5zPZ0+8FutjU2QGeMMefRpXyJ66c//WnW19e58cYbueGGG3jFK16x40eQG2OM+UY7f4rrLgRzAVg7Y4wxu+9Sv8R1N9uaS+YprsYYsxdcyk88OnnyJL/4i79It9vlJ3/yJ7n88sv5lm/5Ft7+9rfzb//tv+XYsWMXOkRjjLmoXepPcbV2xhhjdt+l/hTX3Wxr7Aw6Y4wx50Wv1+PVr341r371qwHY2triU5/6FJ/4xCf4qZ/6KX7kR36E5zznOdx1110XOFJjjDEXI2tnjDHG7LbdbGtsgM4YY86jNir+HH89avfJr01fr9frceDAAQ4cOMDKygpZlvEnf/InFzosY4y5aO38EldrZ4wxxpydneQz29PtR89kW2MDdMYYcx5dyvegizHyuc99jttvv51PfOIT/H//3//HcDjk8ssv58Ybb+Rf/It/wY033nihwzTGmItWusT13G8oF3R/3ITO2hljjNl9l/o96HazrbEBOmOMOY928ljy/XJmw/LyMsPhkPX1dW644QZ++qd/mhtvvJFrrrnmQodmjDH7wqX+kAhrZ4wxZvftJJ/Znm4/2M225pJ5SIQCQaEOkQj0csc0PNEb6WTCuFUGdWRQp/cdUHihl3vaCN3cM24imRNEBCfp827ucCL0i4y1bk4dlNwL0xDp5I5jw5oT44ACkzYyadP7IlBmDi37OBHu3ZgwDUruhMKn13c9a5nMCV6ETu5YKj3d3FN5wYngXYqv8EIdlMILAIM6zD/3Dg52PUtlzlLpmZCRO2GhyLhquct6v8AJHMgjISoHOjlNjHxTMaCTu/k81xdKvKT/eyd8bXNCJ3N4gdnbdHLHwW6GEyFzkmLNHMM6st4vWCw8uROCKk5SubdRKTJhvV/iJpt08xRr7gSRtKyVTk7hhdwJCsSspMyEA50cL0IzO9i7uaMOyqhNNzxWVZqgBAUv0Mkc4zammENDVFDnibMO7aCOjJpIVBg2kWmbtneY1SVusoFmJa6ZUHhHFE/hHSJCRkSAyezLZeZOqbi8CFEVP0g3jez5tK1D3k1lJwGJLZvTSBMVnZVh7tP6hQguNIhAv3DzMs+cEFEmQSkzSescFc1KurkjoozbSOGFKksTVV5wQFQQjXTzVBVEhZzIYpH2eTfZYK0SYtElatoWxEDmnijzNiqd/Il5LxeO0sFSHBA1/ZrvBPqFZ2PaElTpZEIdlV7uiOUCC+NH6RcekRR/HRQF3PA4W9N0PEbSNim8sH3kBtVUDuKIpHJJx2PaJ3OXvrP9/czJ7NhJ79chNS5NTOueOaHK3HzdJm1k3CrDOpx1XXMmQXVHr/3g//q//i/+5E/+hAceeIBf+ZVf4X/5X/6XfZU0SdFBs4qwcRzaGnUZUlb4hWW0aSCm/UiqLsSIX7sMeivoeIhfPQJtjV9aBedxCytIWRGHW2m6rMBVqa5wvUWq1SU0RKrVJbKqAMBXJQBZr8PWgycoFrqUy33EO9pJTTNpAahWKvJeSTtu6awtkFfpt7qFK5bJq4ysyjj+ZycIdeCa5x4gd46VZy/jCs+gVQ6+cI3OSsXmA1tMN6fkVUbHO4aPjHCFx2dPdC36meORSYN44f5xwzgoeZXhRTg2bRk/NqKfOUIdGIfIYFATZ3V2Z6XivlHDs7o5062arMr45sWSwgmXVTkdLxQu1Tsd73hw3NKZtVfihc5KRT1oGJ+YcPzeDcYnJogXvvLYiMms/c+qjHKxpFwsEe+po/LY/ZsUvZzOSkXWyYghEuqGGCKDhzYBiHXL9OQWGiLNcMLmVx8i61aIc4hzaD0B55GiSv92l6CdgveoOHw7QWJLG0FIfYmtaWpzqswxaSP9ws/rooXCE6Ly2GAKwKHFEu+EOkS8E0Z1oF9l1CGy0M3ZGDUcWiy55lCf5aWKfpVxclRzcKGiU2QsVBmdwvPA4yM0KkXhcU4Y17N9pJfTKTz1tCUvM0abUybDOu1/TshyT7dfUI826B18Fp2VNVzmmI4bRscfodsv8UWHspMT25rRxpT+2iGyqk9eVdRbj5NXfboHDrJ8xVVMNk7QDDdwWUHVzTn87MvxTuisHErb0wlFp0O1cpjFAx18liFOuPJgL23H3FH1cgCKMqOZtogTpuOGxZUOWe657gWHaNvIdz1njdV+kdYx92S5I6iSzcqxyDxXrHToFJ4To5rLFyuKzLHWLfBOOLhY0s09uXfkTogKW3XLpI2U3tHE1IfYmLSp3Zbt/lpqQ4vZdJ0stc/by/azffnp2ulDIvZL0rTf2xkAUUVigNlZj7rdIRRHGxWJLepSX1+dR32OkPprokrwZZpGI4ggsQVx4DLUZWhWzZYTwWVkkgZ+RVPdvN0nefKYbupzCX7Wv/ICTtIH0taoL5gEJQ/TeazqfPp/MwFxaXm+SLEA0owAcBrwYUpOxDVjonjUZaCp371dBnVQ0IiKoC7DjTeoMod3QqPbcQrSTFL5xZjW3efzskwLdORPOhy/Pu/D+ZRj+IJYLqCz/r2KQ9rprCw9uab61M86pQJESeu8fbg7Un9dYpv6rrFl+1BUX+BnZai+QBVQJaqmmGflrr6AGFBN84OU20hs0/ppnG1rl5Y3218khvT/2XZQl6W/xaXYxaEuw8eGnEgd0v4jIojGeU6oIrhmPJtnmz6flauTFEuIqb++3d6pL+axSjvFkfrkqVBSPLkXJNSpDyRCzEpcPTzlEsmgoOLSNp/VfRJTuddB5/2u+RTiIAZE0pjAk6vdWPRwksqwytw8Fw9RiT5P+V5oaEnlMmkjCvPtvF12QUn7pkZUHNN2e1xBUZ/P9/sQdb7flZnDzfYdnX3XhYaIIKrg0j4fNcUyL7vZNnTo/Hh4ckvSaDp+tj2T6cRO8xnLac7MzqAzxpjz6FK+xPWtb33rhQ7BGGP2tag7u8dPu0+SJmtnjDFm913ql7juZltjA3TGGGOMMcbsA9tnkZyr/XIGnTHGGHMxswE6Y4w5jy7lM+iMMcbsru1bdpz7dNbOGGOMOTuX+hl0u8kG6Iwx5jyyATpjjDG7Zadn0IV98pAIY4wxu88G6HaPDdAZY8x5FDQSzvFxeUEtczLGGHNmdgadMcaY3baTfGZ7OnN6F9VTXG+55RZEhJtuuulCh2KMMTuy/VjyS/HpehcDa2eMMRez7TPorJ3Z26ytMcZczHaSz1hbc3YumjPo7rjjDn7xF3+RF73oRRc6FGOM2bEQFWeXuO5J1s4YYy52qqA7aDN2Mo3ZGWtrjDEXu53kM9vTmdO7KM6gGwwG/MiP/Ai/9Eu/xMrKyoUOxxhjzD5j7YwxxpjdZm2NMcaY07koBuje9ra38ZrXvIbv+77vO+N3p9Mpm5ubp7yMMWavaCO0Uc/xdaGj3v+snTHG7Aeq6RKic37ZPejOC2trjDH7wc7yGctpzsaev8T1//l//h++8IUvcMcdd5zV92+55Rbe//7373JUxhizM3aJ695j7YwxZj/RHQy22fjc7rO2xhizX9glrrtnT59Bd//99/NjP/Zj/Mqv/ApVVZ3VNO9+97vZ2NiYv+6//34AmqjpxrmaHiUfFDIndDKh8IJ3gncwbiMiUEfFO6Hyjn7hEIFRE/BO6GQOL9DJUvHls1IsvLBYerwIAN3cc2xYEzT9Mrk5DThJy6pDulGiF0HF0cmEQ70CYTsux6SN9HPPuI0ETaPO2+qgOA3kTogoIsJK5YkKk6B0c0+VOUJU+rmjIwERmIaIEyi9sFQ6mhjpZEIzm/dCmXG4n7PWzSFGVlzDgY7n7sfGTNpIJ5f5el+90sWL4ES4ciFnqfQsFo6F6eOsdQtUlW7u6BWeTu7YmIZ52Y6aNHy+vUYOociEae8gVe4oM8HHhsILISpH+iVbdSqHg90MiQFH2iZ1SOW0XS5eYNwqhUtl3aNmu+icQC93BAU0zU9UmYa0vbdvrlyHSOGFfuEpXapMsslJNO/Mt0GY9WZ9O6GTCa4Zp2lyR+4EJ+CdnLJ/LpYezYr53wIMm4gTQdop6jL6RSpf107peqXQlhA17WehQTX9YuFFWJQa74TcCZOg8wO6Mz3BsFWK6QZXL6XlZUSikrbZ8DiZn8UWA3VUlktP4QWJLeM20p3t2H7rUfx0gJO0b6rPyTYfJndCRwIrpePyMpCTtqmEmmGrhGoxHWcCIkJUxYmwUnrqoPMnzakIsbtCVGUaUowiggBa9sgceHmisvIijJuIl5RQVF4IWcWoifjpgFET6VMTYorXi1D52TE3O+4HdcTN9ofCS5q/zB4ZPtsHpm2kndUbIqdux6djJzdUtcZs9zyT7Yy6DM1L/MpBNASkGSNFhcaAlBWSFYhzxI3jAITHHwZxEAPtI/dBVuAWVggbx9HhJjiPX1hG6wnEkP4ucnQ6wVcFGiOxadEYGR87SbncR5xDQzoWq9Ul2uGEWLeMHz1B0csJdWC6OaWd1HRWKoqFHtPNmpP3blAs9GgmLQuX9Xm8DtTDhtBEoirjExPGj41SexYio8fGdFc7nBg2lIsli5mjmbQUvZzOSsVgUDN8ZMg3H10iKDz+5RPUURm0kXvvPs7SgQovQpzV2Z2VikGrHJsGNiYtXkC8w4sQVNloAqEJPF4HDl2+kI5TVeqY6vqNJvLCZy9TVRlLuWNyYoIrPMtHl2jHLRtNpH+ox9ZDA740qFk6UJF1MkaPjdm8f4uinxMmUwBWL+sDMD4xobPaxxepfYlNiys81XKHvNehndSzcl6kndS0owntiWNo26TtMB6i9YQ4OImKQ9sGYkSLbtqRNJI5cPJEG9xEJXeOJkRWOjndPLXTa92CYtb2PjqYMpi0FN6x3MkpZm39s1d71G2kW3ge3ZxyaKFkc9JQZI6HT0749qMrs75Oeh1arPBOWFss6VcZVx3qU2SOtgn0egXXXr5E1c3p9lMbsnywR10HRltTNCpuFk/W6dPplzgRyk5OZ+UQVS+nXFhmYaVD3ltCnNBZKIhtTV5m5L0lemtHcE4QJ4R6TH9tjazIyQrPaFAzGtbpszYS2kjbBKrFgxSdnKpbUJTpN+aqV5DlnsXVLj5zHLxykeWDPTQqWeHpLBS0TeDoapdrjixwoF+w1M1pm8C4CWhMfZ+/dM0qy92CEJXDixUhKuM6EBT6VcakjRTeUXnHo4O0r2xMW5oQUzuTObyD3Dm6efp/laX+4/a23VZ64cSkxZHaqGdycExV0XjuL6yd2VXPZFsjsQVxqMsIqrjQzKeJCuoLInLKWZFOJPWvYpvmoYr6Yt73BFCfpy+LA+fRvAKN82m2pX021b1RU/9pO/cJ2/1MSX1cVNG8Qtpp6hNrpJmFJaowm7eKA40QW1QERMBlSKgRjRADfnAMNOI0pO/KE/1l1dTn1qxANfVFVRxOA6XM+pahIXcyKzsPLi1T2ikSGko3K58YiaS2Zzs/yJ2QOSEn0kg275O6yQai6TuiEc07yHRA9Pm8bF1oQByZgI8NXoQyS9tP5Ym+eCqv1PeMCDFPdTTiUJ/jYzPfRmlah2untErqH8QGiS2iEYkhfbeZoM6n9WVWLrOyEo3pnpXb218kTTcr10jaXtHnNDhKibSz7R2ftK+0UVGXEVVTTNur5HNyeWLwv42KzrZ7q2l5FS1oRGf5cYqxIXNCE3S+LyJuPp/t96OkvAWf00alibN9QFKbGAF8jjqfclefIyG12yEqk5Befra/ucnGfBvUIZUhMM/bnQYaX6IwLwcBgsvnecJ22YlGpBmDOLwTWhwRScdsVHB+tg942qjz45HZE04jaT1iuqkoMSvTcTCLHU376PYxgMa0nUm59fb2zpygzhM01QHPpJ3mM5bTnNmeHqD7/Oc/z6OPPsp3fMd3kGUZWZbxyU9+kp/7uZ8jyzJCCN8wTVmWLC4unvIyxpi9whqzvcXaGWPMfqLKnrzE9QMf+AAvf/nL6Xa7LC8vn+W6KDfffDOXXXYZnU6HG264gT/+4z/e1Th3i7U1xpj9xAbods+evsT1e7/3e/niF794ynt/+2//bZ7//Ofzj//xP8Z7f4EiM8aYnYk7aJzskeS7x9oZY8y+ovOTMM5tsl2+L1Bd17z+9a/nZS97GR/84AfPapqf+qmf4qd/+qe59dZbee5zn8s//af/lFe+8pXcfffdLCws7G7AzzBra4wx+8lO8pnt6czp7ekBuoWFBa699tpT3uv1eqyurn7D+8YYY8y5snbGGLOfqOoO70G3u0nT9r3Ubr311rP6vqryMz/zM/z4j/84r3vd6wD48Ic/zOHDh/noRz/KW9/61t0KdVdYW2OMMeZs7OlLXI0xZr+x08GNMcbslp1e4rrbA3Tn6p577uHhhx/mVa961fy9siy5/vrr+fSnP30BIzPGGGOXuO6ePX0G3V/k9ttvv9AhGGPMjm3fwPtcpzHnj7UzxpiL1g7aGHjiEtfNzc1T3i/LkrIsn4nIzsnDDz8MwOHDh095//Dhw9x7773nPZ7dYG2NMeZitZN8Zns6c3p2Bp0xxpxHO7p5t/3aZIwx5iykh/7t4EmuqgwGA5aWlk553XLLLU+5rJtvvjk9df00r8997nNPa32+/inqz/ST1Y0xxpy7neYzltOc2UV3Bp0xxlzMdnJ/IPu1yRhjzNlQdvZEVlWl3+/z4IMPnvL+6c6ee/vb384b3vCG0873qquuOudYAI4cOQKkM+nW19fn7z/66KPfcFadMcaY82uv3u90P7ABOmOMMcYYYwyLi4tn/d21tTXW1tZ2JY6rr76aI0eO8Du/8ztcd911QHoS7Cc/+Ul+8id/cleWaYwxxlxodomrMcacRzu69MhOBzfGGHM2dnqJ6y63M/fddx933nkn9913HyEE7rzzTu68804Gg8H8O89//vO57bbbgHRp60033cRP/MRPcNttt3HXXXfx5je/mW63yw//8A/vaqzGGGNOb6ftjOU0Z2YDdMYYcx7ttfs1fOADH+DlL3853W6X5eXls5pGVbn55pu57LLL6HQ63HDDDfzxH//xrsVojDHm7GzfuHsn96DbTe9973u57rrreN/73sdgMOC6667juuuuO+UedXfffTcbGxvzv9/1rndx00038aM/+qO8+MUv5sEHH+S3f/u3WVhY2NVYjTHGnN5evAfdfslpLpkBOi/p1zhV6GRCJxP87CazqulzVcickDuhkzmiQpkJUdNnC0VG7oR+4Wij0skEESgzR+Zk/vIOvBO6ueOxUY0XYdJGJm3kxLhh1ERyJ3gnOBFEI93cIQIKjJrIQuHo5G52fTf087Spxq2y3s/xLsW+UDgcKabSC0GVwgtLZUZQpZs7mqjUkuEEQkyPRfYu3bx32qZlL5UemW7RzR2HOp5+4Zh2V0EjAjiR+fdGTWS9X/K8tR5VJnhJcfULR+GFcWeVJkayWTyHexn94old7UDl6WTpu53MMagjC6XjQJXRRmWl9Gl7NWMKJ3QkcFk/Y9JGMic0QXHTLcat0gSlX6R4JTSUEvFOaGN634sgoWbRNSgwaZXSy7wjWnlBJW1HgE7uWK78vHzHbXqsmXeCtDUAEhpiXlGEKT42MCsfzUoygTYqmZNUzoPHcLNyTvudoy6XyIi46RZ1VIIqkzZCbAHInVDRoi5dge5m82giaFbiY0Md0nbGeQov8/12MYegIM2USasQWorpBouFx002KCWm7298jU7mcAJufJJe7qgyx5KOUJfR86mz7ofH06PdNM63vcziPFgEpB7iNx/GjU7gRidYLj2I4/FxYGMa2KoDfnAsHV/AdUf6ZE6oY9ovTkwCrh7RuII6KEulRwEnkHtBs4oqS/tO5In7FvRyRzd3aR+vT9LMKnv1OZkTkLSNpyGtR9DZPB1kkuqASKoTgqbYvJNUpkDPBbwTJkFn2/dpVkBPMivOc37tlrquef3rX8/f//t//6yn+amf+il++qd/mp//+Z/njjvu4MiRI7zyla9ka2tr9wK9CEg7Qeox4j0AcTwEn6P1JH2e5Wjb4FcOIWWFZAXSTtAYkKJC6wna1hAD2ja47gJkOa67QLZ+FW5hmWJlGX/w8jQ/56g3h2TdCpdnOO/wRao3Fp+1RpjU1FtD6q0Rea8i1IF20uILTztpyToZk+MbdNc6OC9sfPURmkHD+MSEpdzhc8d0c8rKVUtMN6fEoFyzUjHdrNnYmuILT+GErYcGHKkyOisV7aRl8YoFjk0DRT/HFZ6DpefxcUMdlecc7vF4HSgXS67pFQB0egUn793kmn7B5Z2MpSrjiisX2XoonVlTzA7A7mqHfubQkI7pw1XOSp5i+OqoZrpZ87XNaYrp4SEAo+Mjjr7iSr40qNl8YJN23OIFfO7580dHPP6Vx7l/1KT3q5KDSxUL632qlQ6dlYpj/+MROodWGD74GHmvohnUrF57Ne1kSt6riDESJjW9IwfwVUGY1OhkCFmBtg2SFeAcTIdI1YcYcJNNQlal7QwEVdysXnIiPDKsGTdh1j57BnWgyh0HuwUhKpOQKoSNcc1SN+db1hdTuxciS52cpW5BMas3Hzo54dBihXdCv8p4fDhloczYmrSpzssc3gnL3YJDCyVXrHTp9goWqvSd/nJFCJHuYsnG8RH1pEVVaZvAZFgzePir+Cwjyx0LBzqsXbZIlnsWV7ssrnbTfc2We/QW033MioUDZLlHnCcrPKOTJzn5wH0sXXYlS6tdqm5BUWZ472ibSJZ7ijKjv9yh2y/pLi8T28iB9T5Z7ghRyXJHXmYcWCxZONDh8EqHyw50gNQ2e58+v2K5w3Inp8o8g0mL946jq12qXupTXbZYARBiJPdCJ/f0q4y1bs64DjSzcndOOLJQsdbNcSKsdHLWugVr3YKlMqeJqb/nRCiztO96mbX/bWpTvBNWqnSsjpqIdzBsnpmKXnVnidNutjMAt9566/yeRU9+3XDDDU+KXXnzm988/1tEuPnmm3nooYeYTCZ88pOf5Nprr93dQC8CKi51DMThRVCX4TTM+42RJ/q1qiAaiaqpX7X93Vm/FUl1hfoifdl5JNSouPS5y9LyAAmpHxw09XNzn/rbISq5AwEKL0RNeUZGTP0xn+r6QlP/UQA0oiIgDi266V9fgMtw7TT9nXeQkPrZIe+m9Yttitl51Be4Wb4gAlWcpvkLyGQL8gppp4hGSolIO5mta4aogi9Ql6EuS+13O0XF4ZrxPM4QUx4mAqKKOk8d0vqhEWlrpJ0SokKo0zoBLjTEoodMB0SfE1xOoynWqIoLDa2m70mon+johVRG299xzSSVv7gUZ2hS7timdW1cMY9le/tv/wtAltqNtN+kZDdq2mbR5ziUVqEOaT2jpH589Dlxtr6iiheZl0vPp/lt9723t2cbFSTlxLVk8+U6DbN1Si+ZzSdETWUYW0JMec32NIVP/XM0zstve928E1QcwyamfWqWq87nKY4mpkEOFceoSft/I1kqx6zEO5nXy1FToq9ZRVBoSO2ixDblVKq0MZUFQNGOaaNSB53lZ0q+nSj4fP5/9QUqKW9ttwelxKW8w2VIDN9wbIumXNehREk5UUtq62rJCNuziS0OTTms6vw4lu3X7Bjd5iQdt8+kneYzltOcmd2DzhhjzqO99pCI97///UBKns42lp/5mZ/hx3/8x3nd614HwIc//GEOHz7MRz/6Ud761rfuVqjGGGPOxG7cbYwxZpftxYdE7Jec5pI5g84YY/aCvXY6+Lm65557ePjhh3nVq141f68sS66//no+/elPX8DIjDHGqO7wrIa908wYY4zZ4/biJa7naq/mNHYGnTHGXCQ2NzdP+bssS8qyPK8xPPzwwwAcPnz4lPcPHz7Mvffee15jMcYYc6rtS1zP1V5KmowxxuxvltM8NTuDzhhjzqOn88SjK6+8kqWlpfnrlltu+QuXcfPNNyMip309+cbcOyFy6o35VPUb3jPGGHOe7fAhEXYKnTHGmLP1dJ/iajnNU7Mz6Iwx5nx6UuN0LtMA3H///SwuLs7ffqpfmt7+9rfzhje84bSzvOqqq84thpkjR44A6Ven9fX1+fuPPvroN/wCZYwx5vxKl7ju4L5Au/yQCGOMMfvITvKZ2XRgOc3p2ACdMcacR1E1PXHpHKcBWFxcPKUxeypra2usra3tKL4zufrqqzly5Ai/8zu/w3XXXQekpyZ98pOf5Cd/8id3ZZnGGGPOjqLzNuNc7GQaY4wxl6ad5DPb04HlNKdjl7gaY8x5pDu5/GgXE6f77ruPO++8k/vuu48QAnfeeSd33nkng8Fg/p3nP//53HbbbUA6Dfymm27iJ37iJ7jtttu46667ePOb30y32+WHf/iHdy1OY4wxZ0F3eOmRDdAZY4w5SzvKZyynOSt2Bp0xxpxHT77/wrlMs1ve+9738uEPf3j+9/YvSJ/4xCe44YYbALj77rvZ2NiYf+dd73oX4/GYH/3RH+XEiRP8pb/0l/jt3/5tFhYWdi1OY4wxZ7adNJ0ze0iEMcaYs7STfGZ7ut2yX3IaG6AzxphL2K233sqtt9562u98/a9dIsLNN9/MzTffvHuBGWOMMcYYY8xZ2C85jQ3QGWPMeRQjyDn+ehTt5t3GGGPOgirEHZyhsJNpjDHGXJp2ks9sT2dO75K5B50XIXcQVFEgc0KVCQp0c0dUaKLSyQQvQlRwkjo6hU+P2e0XqbhUdX4lQOEEFxoKLywWjtwJvcwRojJqIkHBidDNPb3CM2kjXiQt36f5xbxDUMidIKQ4Ci/0coeI0M0di3mKuV84Mp/iG4YUVzd3uHaKE6iDslh4lquMlU7GyUlgq07LXCg8nSxNW3nhYDiR1qEZslh4pJny0NYUCTXLOeQCElucwJF+AcDGNNDNHatdT5UJdVAOdLLZesGJaWDaRqrMUTjhy8fHLLSbT8RJWjakWCdtREToZC6tm0ufFd4Rix71rKB7g4fo5Y5e7nACUo8RgYO9gtzNHoc83kBiy7iNrHY8/cJRh4i6DMRR1luoKt6l8pdQU8y2QeUFL+kKjzooDvACISpbjTKoI6G3muYV6vSUtKzEDY8DkNXp2vZJUPqFx4sQFLTo4pvR/FHNTVTGrSKxRX1BZ1ZO3Sx97rceoYmKugyJLRIaNC/xAt6Bq4cQGpZKjxNoJKMOSj93lF5wkw0KL8TeAcZtqgFlOuRAHpG2Jjv5AJM2gqR9ddwqsbdKTkQEZDpAQkMUn/b7EJBQI5Mt8sGjdDLBDR8ndpbTASAOVw9wx+/FTTbohwEbrWOhdIyayELhUXHk7ZiiHXNQhixMHiN3Qi7QyR1usknejulREzXt59nsc81KDuQRP9svlnyLbyfpeNh++rUvCFFZKDwSGhaZoC6jzByFT/OatMqkTY/MllADEGLaxl7SMqPCuFVCVFTSvuiACEzaZy5xUdUdvczep1kFWY6GgOSpztTxFlJUxK2TSFlBDEhvkTjcRDq99L7ziPP4pVWIEa0naFsTBydxvUVwPr0/GeGWVtP7nR7F4hOvzuoS7Tjt23mvQryjWl0k63XwVYFs13UrHarlLuKEGJTho1uMHhtTLpZMN6aMjo8IdaCOSjNsGG1OaYYNWw8PcV4oF0t87lherih6OZV3+GJWj611WLxikRiVjhfqQUNeZXQXSx6vU3208uxlDhSe6eaUQRtxs/bg5GMj8n5OHZWsk1GtVDx2/yaDWT220UScT8vJOhmbbSDv5zxvoaCOykYT2diaMmiVtSIjLz2dlYpjj43prR/AC/QO9xjXgcNlxuOPDDk2bWnHLVctl+S9nGp1kYX1PuVSiYZIZ63L5MQE5xyuyKhWl/CFp94c0XvW5WiILF9zOdMTqf73C8tk3QqyIm3nLEc6PVx3ESk6AIim+rcOab1CfKLN35hGJiFy9XKHlU7OpI1sTFqcCHWrXLnU4eiBLoNJy9UHe3SKjPXFihPjhhCVlU6Od0LdRgbTlso7VvsF33blMiEqLzjYp1/lPGuty9awZrVXcGixAqCTe44Pa5a6OevLHYosTVuPW0Ib8d4xHbeICBoV7x1La10OvuCldBcrlg/2qHo5AOvPXsE5YflgDxFh7fIFRoO0by6tdSk7Gb3ZcjUGsqrP0mqXvMzwWer3NNOWlQMdNCrrly2weKBDXnn6yxVRlcsO9ugvV9z7ta1Urg4WqpyDh/ssdQvqNnLlWoppoZtzdK3HNx/s00blzx4dULeRhW7O8UGNd8JVaz1GTeDoapdOkXFy3HBsa0qIShOVfpl+z17tFjRBWevmdHPP0Vk8nTztxxFlqfR0c89qJ6eNSt0qmYdpq+ReqENM74f0/kLhCBEm4RnKWnbYxlgrcxERhzoPGnEoEaHFzfvsURVVCHrqwz9ygYikaWdi0Uv/0Yj6HAlNOqC2lyNu/rfM8p2o0EYlJ1JmQhNT37rKUh8dUt6FONDU50Vk/qhgN/vMheaJdXryY4RjQJox0oxBIzLdSn3XvJrFUacEDeb9a4kBaUYgDlFFNKLicNNBmkds0axCBHAZKoL6HM1KcB5paxChwRGrBURSP7NfeHwzwoUGCTVh1o8vvCDtFJlugfNpnWLE1SMkNMh0i8jsOzHMy199Me+/ZkSiz9N3NOWMEtvUBw7TVA6hTrHPyk+zMvXXY4trxngnT9yof7bO29sOTflERkRiIERFQo0TwTvhyV3L0kE23UQEWp09DZq0nSOCQ1Gfk2uLtFNcaKhIcSmA8ymWUFOHJ2asIkhoqJziZnmVZiXbX4lZifqCdpbvpXJM7Z6XtB4SA45UFwOUEplqWs8JGRKaWR492+dJOX4EongyJ/OYdHbsSAwEVXKX4g9Z2rcKL+TE+f7uJa1DiIrEwDQoOE9U8E6IqvN9XjVtgyYqjWRpWz2pbvWxScfCbPtE8fNxhu3cZHs+EluiKrmk5fhZnlL4FK/O9uEnH0NPXhYaUx0wi7vwaXxDhGfMTvMZy2nOzM6gM8aY80jjqf3Qs53GGGOMORPVnd3jZzfvC2SMMWZ/2Uk+sz2dOT0boDPGmPMoRt3BJa6WOBljjDkzRXfUZthZDcYYY87WTvKZ7enM6dkAnTHGnEd77Smuxhhj9hFVdHZJ3TlNZjcGMsYYc5b24lNc9wsboDPGGGOMMWYfUI07HKALPIO3JzLGGGPMDtgAnTHGnEd2Bp0xxphds9Mz6DTaAJ0xxpizYmfQ7R4boDPGmPMoqj7xxK1zmMYYY4w5E40RDec+QMdOpjHGGHNJ2kk+sz2dOT0boDPGmPPIzqAzxhiza57GGXTGGGPM2bAz6HaPDdAZY8x5pLqDATr7tckYY8xZ2Pk96GyAzhhjzNnZST6zPZ05PRugM8aY80ijnvMjxu3XJmOMMWdlx2fQ2SWuxhhjzs5O8pnt6czpuQsdgDHGGGOMMcYYY4wxl7JLZoCu8kIdlNILAmRECi9ETYUwDWk0t5c7vINeLohA5oTcwXLlARCBwrvZ/4XCO6LPyR10c0c3d3gnjJrAUpkRVRnULVXmCFFZXygJqqjC5jRQZIJoRFXp545O7uhkQlDIBfpF+rvFoQq5E3q5o5cLXiATKLyAOKJCP3c0UWmi0obZZ4APUxbLFFuPmoXSI6FhqcrwJx4AQKsFnrvWS+sWWxoF2prKCwe7frYOUAflgA45UHnqoGTjxym8I481lXecmAbW+wW5F3InuMkWDrii5ygzR6vw2KilmzucyKy8HeM2khE5mNUEVTYbaIMSfU67fDkiaZ07cQIaWSrTNsmc0NEaLToMNMeLkMeaaZsu15B6hEraZp3cITGQe0F9gUMZN3G2zSL9wrFVp+m26kjmBCfgBKSdIqFBswqnAYkt6jIktmkni4HKC0GVAx3PgTyiWYkfHqfTDimaIYM6sugaJDRIqKlo6XpFYosbb6AuI3dCq2l5bnwSzSoiaduikSbr4JsROZFsFlvPBeqgII7SC7UrmLYKfhZfDBADbvAYR/o56nPGbSRExQ2PI+0UPx2geYXEls06sJhDrBaQZoprRmhW0JGANCOknTDUnFguEBYOo01NrJZww+OM27R/exGW2pNIO0374PA4tDVudCJt++kWIULoHwRxIELhhSqMyR2M2nRMyniDXpb2Yzd8nNqXIA5XD1kqPTIdAJA7QCOIo8Ux2/VRYKl0rFQeJ1C7gsI7qkzwbnaszbazl1RXTKKwNQ2UmcNtz/sZoqo7epm9T0KTbrQeI1L1kbxAukvErZMAxOEWYeM4Oh0jzqPTMW7xANo2aAxIUeH6y0jVw1U9cB6dDPFLq0jVRaourtMjbBwH53F5Ogk+Ni2jR08QJjXFQg+XZ+TdinpzRFYV+DxjemLI6PiY/uUH8VXBdLPGeUG8Y7o5JQYl66T5NcMGL4IrUh1bLpaMQ2QyaXGFx3mHztrMcqmgu9rFCwweGdJd6wBwxZE+923VlIsFi1cssNEELqsyVp93iPUrFohBWcod5WKJeKHyjoX1PtWsfV0+ugRAUGUcFC/C+MSEx+vAvX92go53LF6xwIHDPbxAP3McWO3gBTaaQLVS0Y5T3RwmUyrnWP/2yzg2DXxt0tLvF3xTv0C848BzDuALTzuckPdz6kHDiT8/iYaIeIcrMlyeceDa55D38rStvSeGSLGyTLW6SLm8gDY14jzNsUfQeoK2DeH4Q2nnaKfzdkh9RuUFaSeIpPonxNRej5vUN+nmHu+EKkv9iqhKN/cEVZ53sE8dIlesdFgsM8rMsVBlPDSYpvYw9/TLjJVOzuGFkpVOzjevL7IxbTm62uXxQc0164sArC9VHOiVHNuaEKKy0i148dUrnBw1HOgXVL2cspOTFY5rnrsKQH+5Q9HJWF4oufpbLmfxQAefOUSEqpfTTAMhRJb6BdNJw+GVDkXpKaucvMy44sol2iZQjxuyTp/u8jJFJ0NVOfKsJZppS15mdApPd7Fkocro9Auy3LO42gWgU2TEqOSlZ+VwH+eEQwslR9d6DCYN/SpP5dfJObk15bu+aZVRE1jtF/SrjLqNdAvPwxtjVvsFAA+cGONn83n45ITnHupzaKHksVHNxrihicrhXsFSlTFpY2pHvGOpzJnM2qtO5lgqZ/0lTfttlTnaABGl8ELu3Hzf3pwE6qiUmcz3/adr+xLXc31hl7heNLb7nVE8rYJDcSIEl5MTcZJyGNX0PoB3kvpIgAsNoqnvicbUn81KZPa5ugzEpT6uRqQZ49BZnzedaRkV1HkKl3Ihv70cEbInPw5YU19YQpP+zEpk+/PQIG2dlpWVSDtNy/56Mc767fmsv+hwk00QRxXGhM5y6mvGiDSTeb9TNKJFN02jmupcVWQ6xNWj+bzQiOYV6guikj4Pzbycm6wDMSDtlFzTe7kwn17aacoLtu/jKILUY4IqrhkRxRNViUhaz2acvhYa3KxcpB7hBLTs4wRCVs3WvZ1t8zCbpk435teIuowQFd0uUHGoS+12ZFZe239LalM0K3Gkm/s7UkzeCRLqJzbZk4rei6SHAcQWZsuVdkL0+Xz5IaZ9w4ugLqPwkvoQs7gaX87n5yTtNym3ElQB51P+FDXlyFmVyk5m+4hG0EhFm9Y/trRRaeOsj+zz+T5eOnAaUiya/p87QUk5s8SWcROZqkt9fw00IeXNMh0QoiIa03oXPbyTtC/M1mXcxLQfzMYTAIqQtj+ANOPZejxRhkIaM1CXzcYMUp7XzNZXgJiVTIJCDERVgkttmKuHSAxspwESA1HT9lRl3q/Y3leffOhFVTLifIwgzsYfnik7zWcspzkzu8TVGGPOI3tIhDHGmF2z00tcbYDOGGPMWbKHROweG6AzxpjzKKafsc59GmOMMeYMVCNxBwN00e5BZ4wx5iztJJ+ZT2dOywbojDHmPJpfTnSO0xhjjDFnonYGnTHGmF22k3xmezpzejZAZ4wx55EN0BljjNk1s3vQnft01s4YY4w5OzZAt3tsgM4YY4wxxph9QFXRsIOkKdgZdMYYY8yFtqef4nrLLbfwkpe8hIWFBQ4dOsTf/Jt/k7vvvvtCh2WMMTumcSdP2LPEaTdZW2OM2Td2+BRXVWtndpO1M8aY/WRn+YzlNGdjTw/QffKTn+Rtb3sbn/3sZ/md3/kd2rblVa96FcPh8EKHZowxO6Ih7Ohldo+1NcaY/WL7HnQ7eZndY+2MMWY/2Wk+YznNme3pS1x/8zd/85S/P/ShD3Ho0CE+//nP84pXvOICRWWMMTunuoN70Nm9gXaVtTXGmH1jh/egszPodpe1M8aY/WQn+cz2dOb09vQA3dfb2NgA4MCBA0/5nel0ynQ6nf+9ubm563EZY8zZsodE7H1namusnTHG7FXpDLodDLbZZUfnleU0xpiLmT0kYvfs6Utcn0xV+V//1/+Vv/yX/zLXXnvtU37vlltuYWlpaf668sorz2OUxhhzenbp0d52Nm2NtTPGGGN2ynIaY8zFbqf5jOU0Z3bRDNC9/e1v54/+6I/4tV/7tdN+793vfjcbGxvz1/333w9ABDInLJYeJzCJAqRGMmiaNkSlmzu6+RPFoqpkTii8sFA4lkpPVKXKHFUmBFVk9h0Fpm1EBLq5p1d4cicsVRlbdcukjWROCBEiSid3FF5QlzEJSr9wtFHR2XIl1ISo5NoC4DTg2wmFtmROqLyARhZ9gNDQzYRO7qi0psqEcvb3s5cLUKUaHqOTCdKMcO2U2FniYDdHNx7FtxOmeY8DVYYbPIYbPIYXAedw0y0yJzwyqFkqHQcqj0y26A0e4rLmESS0VJkg9ZDVjmfcRPqFR4BrD/WQekS/cE+UJ5HcC51mizITVMGhhAiuHiKhZtxGCp/K3Y9P0kYld9CRgLQTXDOikwlVJjw+CTS+hBgRYKFwNK5gMtuwsbvCViuoL8hJvxAX2rJJRTPb9pkTyswxbSOdTOjmDi/QRiVEZaWAWHSR2CLtBAkNMt54Yj9xGRJqIkLmBD94DGmnRPFoVkJskekAJ+CGj0NsQSNoREJDLRmx6OEmGzjSPoBGYncFPziGA4rJCdBIRkQ04qZbuHo4X6eeNCmW2foc6mXIdIi6DL/5EDiP5h38+CSaV/S8cqCT4UYnAZB6hBudwI1O4EVQ58HnIEK7dDlSj2FWqWpWAdAojLI+euQ5kBXEcoHVjmehcGROkNCCOKSdoFmJVgtIOyU7+SBueJwDHY+bbqXYXEYpEZzHO8E7QdopWi3gN77G4SKgRYfMCdMIMe/QzR2aFVSZS9u7rZF2AkA/DCjClMwJGZGsHlAHxYsQVRFAFbyAjw1NULwTGoXKy/z4LDOHd3LmSsrsC2fT1jxVO6NlF6mHSKeH+hwWVokbj+GXVpGqC87hl1bROu2jOhlBaJCqS9w6iXR6SFnheguErZPoeAjOI2U63lynhz94Ob63QH3sUWKT2oasW6Ex0l0/QLW6SL01IkxqXJGhIdJOauphDcDmPQ8Tm5bQBMQJsQ7EoKw97wBZlZH3CmJQlg5UxDqw0UTGJyZ0vKO/UuFzl6b1QrlUcuCbDjA6PuLw81Zx3hGDokFZvHKBfiZ017oUvYKXHO5xognEuqXoFQBc3kkn8ZeLJb3DXRavWKB3uEvRy1m8ap21Kxf51oNdlqqMK7s55WLBsWng8TpSOcF5Rz1s+Pblim9dKumv9wE4WGYsXrFId63D6krF1gMnWcodG/ee4JvWe3zrUol44bkvWSerMopezurz1vBVgc89o8dGbNy7QbHYJa8yqtVFwqRGOj166wdYuuZy2s0NisUefvUIrsgoDq/jVw4hZUW2uIhkOeIcUlRpf2gbpBmjPkfaGgk1iKPykuolB3VQCu842PX0i4ylMqNfZDRBmbQx9T2841lLHeo20q8yoiobk5YXP2uZPz825EC/4CVXrXDFgQ4Ah/olg7rliw9uMG0jz17tpfcXSrwTLl/psNoveNGVyxSZ46rlDoNJy6HFirqNHFnt0ukXXLba5cYXHOKbr16hrQP1uGV9ucNlq13aOhDayBVrXabjhqXlitWlihesL+K94zmHFyg6ORvHR1x++SKHFis0KlnuOXjlCotrXZwTNh4b8YrnHUSc4DPHyUHN8sEe3jkmw4beYsn6gQ79pYqtScP3vGid1aWK568vsrJU0Sk8ISrHBzVXrHR49sEezz7Up5kGmqA0UVnq5nQKz1I3T/vKQsWzD/bp5qnduWatx5HliqVuTr/IWKlyVqo0TZU5NqYt/SKjm3vaqESUzEPuhE4utFEZNREnwkLhCaps1bM+HEIzmwZSO33ZQkHlHUH1meuQ7/gedHYG3fnydHMadanuFAEngsQWN7tsrMXNc5Nitm9Fn8+m82nGGonIfD7qMqKkz1QcOE8k5Rgx75zyN+LInZB7QTT1mwovOA04FN9OkFDP45FQPxGzaurXKUhsU9/Pz9alnab5P4n6AvUFEhpyAamH4LL5d2U6wE028dNBmkds0axIy9QIsU1t8ey72/OXmI5JQjNfJ807TGM6lrXopDjF4WOTyni2HsRA4WU+j1guQDOZ/y3tBHUZmpVEZT4P74RschKdbS9CA86nf8WhPkv90qwkJ+JQEEGLHjErUefTdOJQSX3SmFe42f8bl9ZbYiAiyHa3VRwSGhxpnyAGGiVtz9k+pJq+F4te+j8QVcmJNDFtY3UZ6nOCL9G8iyqoCE5S3hPF00RN+ZFqih/m8xsFIZdU723nzVF1vn9OIwSFcRNT3gTEWVzB5YhGVBzqMoJPZRsVyiy9lzshRGUa0zQAS2Xap4PqPLePWZlyZVoKL7Skvn6IihbdVCbNGIBpBNdO59s8ik/bvpkQFTq5IyOm7dCMcRrQPLW9TlKOhMb5OMOoVVShDnG+3TIn88/LzBGyJ7apqKayEEcd4qn7nSoipHJXCC5HRcgk5YGpHmB+XLvZ+2F7g5g97aK4xPUd73gH//E//kf+63/9r1xxxRWn/W5ZlpRleZ4iM8aYc2OXuO5dZ9vWWDtjjNmr1O5Bt6dZTmOM2Q/sEtfds6cH6FSVd7zjHdx2223cfvvtXH311Rc6JGOMeVq2H0t+rtOY3WNtjTFmv1BV4g4SoJ1MY86etTPGmP1kJ/nM9nTm9Pb0AN3b3vY2PvrRj/If/sN/YGFhgYcffhiApaUlOp3OBY7OGGPOXYxhfqnwOU1jdo21NcaYfSNGNOygzbCkaVdZO2OM2U92ks/MpzOntafvQfev/tW/YmNjgxtuuIH19fX562Mf+9iFDs0YY3bEbqi691hbY4zZL3TH96Db3XbmAx/4AC9/+cvpdrssLy+f1TRvfvObEZFTXi996Ut3Nc7dYu2MMWY/sYdE7J49fQad2o0MjTH7jN2Dbu+xtsYYs2/s0XvQ1XXN61//el72spfxwQ9+8Kyne/WrX82HPvSh+d9FUexGeLvO2hljzH5i96DbPXt6gM4YY4wxxhhzdrbPoDvn6Xb5Etf3v//9ANx6663nNF1Zlhw5cmQXIjLGGGP2HhugM8aY8ykE1J1j8rST+wkZY4y59Ox0gE7TNJubm6e8f6GfJHr77bdz6NAhlpeXuf766/nABz7AoUOHLlg8xhhj2Fk+M5vOnN6evgedMcbsN6o7uF+DWmNmjDHm9NbX19HRozuaVofHePixDZaWlk553XLLLc9wlGfvr/7Vv8qv/uqv8nu/93v8s3/2z7jjjjv4nu/5HqbT6QWLyRhjzA7zGctpzooN0BljzHm0/Vjyc3vZ0/WMMcac3j/8h/8QHT1G3HrwnKbTUBMfvpPb/t+PsrGxccrr3e9+91NOd/PNN3/DQxy+/vW5z31ux+vzgz/4g7zmNa/h2muv5bWvfS2/8Ru/wZe+9CU+/vGP73iexhhjnr6d5TOW05wNu8TVGGPOI93BY8nthqrGGGPO5MCBA7jDLyI8+DnkeeuInN3v8PGRP0I6K/yNv/E3EJGzXt7b3/523vCGN5z2O1ddddVZz+9M1tfXOXr0KF/+8pefsXkaY4w5dzvJZ+bTmdO6ZAbocic4gSaCALkXmqAo0M1TB6bwjjB7yFJHAnhPEyEolA7UO+qgOAEfGybRs1g4JkHpaE3MKyLQzx2LpceLcKhXslzlHBvWlJmjDmnUWMThBDqZQ2JL7jxl5hBVOpmj8gJNIM8KguSgimvGDFyXfjsilwZ8noINDW6yyQktWSw8busYV5R9Hg0V+ayfJe0EQoN3AuJwg8eYLl7GgUJwnR5y8n5YeRZrOfjHjxMW0w15Y2cFNz5BRmR9oaRfeHyYpnmMTqDVAhoaFuIIXEbRDHnWYpd+c5I6W2G1BGmndOIEJOfYSFnxj7NUruEGx1hZ6XCidUwjLJaOKAv4ja9Ra4dus8lYFsiOf5X6sm+lQ4M0U7To0ZYL6KysJ0HxTpB2Sq+Y0GQdjo8DhzvCVAWJDZ2sgDYSxRNVyZxjMYxR6SBecM2ElgIvEGG+r6xUnmETkdjQ4PAawWXIdICbbhG7K6l8pwNCfw3fTmlcgQfc8DhS9ollHwk1xJD2tSmoL8gf/hPatavBF+Q+p+2tUTRjJLYUs6ep1a6gchlHpg8h0yHNoefg6iFSj0CV2FnC1UPUF6ARN96gKHoEzVkePYS0E8LiOm68AYCWPWQ6RPMOEhqyZgMte2jegckm6gtEIwu5zCvddvUqJDS4Ew8QewfQcgEJNb1MUCnYqCNdnyPNBGmnVI//OWHlWaxWGWymefjhcaZrzyGbbqLTEfQPAuBCg5tsETUi4tCiR+0KOhsPEMse+IJQ9nE+Z0xOVWa4eoS6iug8j49ajky2yEOLz1Yhr5B6hO8IsVxIxz6CiifmHXois+0reEfal31JkJyOh0EdcQJZ7oiqeAE/qzueKRojnOOvR/Zr08VBswrNFZyH8SaSl1BW6e/OIvrovWgI+ANH0PEW2jbE4Rba1rjeIpLlICVsncT1FohbJ9GmBsD1FgGIG8fJr3wu0n2Y+sF7KS4/ysadd+LyjKwqGQ8nZFWByzN8njE8ucXiVessf9MRTn7lYcQL4h3OCb7wTDdrOisVea9k8NAW5WJBM2zoHeox3Zzygm8/QtHLae6s5+9lVUbRy+lfvsr40ZOsPW+VxaMHePSLD5FXGcM64AvPlVctp3IJkfXvOMILNqbEECkXC1zhaP60IetkLB1dIq8yxicmhDqycFkfV6RlQBeAr927wZGViq9NGl797BViHRAvHPm2QxwBqpUOD3zmQb756BIA/fUF8l7F4JEhC1csc6R6EPGOy19yGdPf/SoAB553mHKpJM4a/mKxSz2smW7WHH3Fs6g3R/Qv61OtLlFvjtDpmGp1Eb9yiPqePyfvVQBkVYm2DTragqzA97tkR56FhoB4j46HuIVltOzNj30JDWikzBwRqGcxHB81XL6QU2RCn4xO7vBOqDKHEyEoTEOgX2Y4EXLvyL2w1i24arWLc8KhXkGZOZqo9AvPUtnl+LBmtVuQO+GypYr7T4yp28hVyx3+258/zrMP9hjXgajKnz60xfPXF7hyucMDSx2KzNEpMtYXKh5fqjn63FWWuznPX0917NakZTBq6Fc5y0sVq/0S74RnrXY5eKhHv8q4+opFmmnL8dlyD6wv4L1jOmm47gWHeODxEY87ocgc/eWKTr9goZtTt5Hjgyk+E77lqgMsVBkPPT5mY9RQt5FrL1/CO+FPH9rkoY0JL7pyieVOzrgOPO9Qn8GkJcsdh3oF922M6eaeBx8f883r6Xha6Rb8j69tstLJ6RcLeCes90ty51jr5uTO8dio5mC3SO2GQDf3AEzbSL/IiJr6mJ1MONYERITVTupeZ05YLDMKL4zbSO6EwguZS39PQ8SL0Mscx+Iz85TP4Z/9Pp3Fg+iJP0MOPOeM39d6QDz2P/jcHf/tnAbnANbW1lhbW9tpqOfs+PHj3H///ayvr5+3Ze5Voso0pvwkbucDCkra79qoZKJEoI1Koe38e8GXRFXi7EKqzOdEVYJkFB6Cy2miUjqHihDFIwI4j4Sa6AqiQhTBSeorAbSa5iUaEY0E8U9cqqVxlrd4HArNBMQhoUULSYEDswWhWQmq6anEPkdiC9sDzhrRvELaGs3SU32lHqFlH2bfi0UPzSqknRKLHuJcWl5sCb3VWT+4xtVDiC2xs0KOpH5qVuGmgxR7bJHOcorfZeA8Pj5pnZxDywVqyag0IvUYfI76jIoW0Qgx4GZ9atWUA0g7IRRdXGjSvHyqY6QeE6tFRDV9rxnjp4NUHuJQl9FGxbkMiQGZbfcMUJc9UUaQysGlbdAq5LFO663gNBDF41RpFWS2bzhVEMFpQDTixeHaaQpcBLxH2gnRlziEoIoXQWT2gJqsTDkPEF2BkvJu74SIMGgCi4VHSO1e7gVRJUSl8LMzb5sxhc/xWU6gwmmA2T6Fz2dtm2NjGqiDUniPDw3ZrGwkBtxsWyOOsh2jLmPiSpykY0FdRiaCKvh2Qi6C+jLF20yY+D65l/n90pwwyx8FzSsGdeRAJ7UFdVA6cbatVel6JYpj0kYKndIvutSzMQcfG0SyVJQCrp3iXJHiCNOU63hBRSBGos8JUZk3D+LSE6ElHePbNXbQdPB7EaLOxipmH05j+v+Tv/9M2Ek+M5/OnJZd4mqMMcYYY8w+UFUVv/KhXyA89AU0tmf8fnjoC8jyUb7jO75jV+O67777uPPOO7nvvvsIIXDnnXdy5513MhgM5t95/vOfz2233QbAYDDgne98J5/5zGf46le/yu23385rX/ta1tbW+IEf+IFdjdUYY4y5UC6ZM+iMMWYvsEtcjTHG7KYf+qEf4o1v+THisf+BP/yip/yejo6jJ7/KPX/+lV2P6b3vfS8f/vCH539fd911AHziE5/ghhtuAODuu+9mYyOd8e+954tf/CIf+chHOHnyJOvr69x444187GMfY2FhYdfjNcYY89TsEtfdYwN0xhhzHtkAnTHGmN3knOP3Pv7/8j3f91dwq89Fsuov/F546HO4tRc8o/eJeyq33nort95662m/o/rEZb6dToff+q3f2uWojDHG7IQN0O0eG6AzxpjzKMaA2ACdMcaYXXTjjTci/cPEh+/EX/HSb/g8bj6Ijh7j+L13XYDojDHGXMx2ks+A5TRnwwbojDHmPNIQQc5xgC7YDVWNMcacmy9++je59lu+FXfwBUi5NH9fNRK+dgfu8LeysrJyASM0xhhzMdpJPjOfzpyWDdAZY8x5pLqDS1zVfm0yxhhzbl74whciK9cQvvYFsqtvnL+vj/8ZxIbRn//+BYzOGGPMxWon+cx8OnNa9hRXY4y5hH3gAx/g5S9/Od1ul+Xl5bOa5s1vfjMicsrrpS/9xkuojDHGXFgP3nU7uvUAcfgoABpbwsNf4Nc+/EuUZXmBozPGGGOeGfslp7Ez6Iwx5jzSGM79EtddvF9DXde8/vWv52Uvexkf/OAHz3q6V7/61XzoQx+a/10UxW6EZ4wx5mlYX1/HHbyW+LU7kG/6a8Rjf4zkXX7wB3/wQodmjDHmIrWTfGY+3S7ZLzmNDdAZY8x5tNcG6N7//vcDnPHpel+vLEuOHDmyCxEZY4x5Jm185fdZWDlEPH438ZEv8slP/C4icqHDMsYYc5HaiwN0+yWn2fcDdNuPbN/a2sIJtBGcQO6FJqTP4uyp7nVQYuGYtBGfRcbqaWP6bulARaiD4gQKbRlGj5v1bxqtiXnN1jQQc8fWuMWLMNyqKUPGcNjQZkKbpauKC+9wAiFzdEplGD1t7hBVtqYRXzqkGVNnDV6EqErRjBi4lhjHqAj4PC08NLjpFlvTklh48sEWOlW2Qk3ReADcZAuph0zYpJym/0/ZxDuhHAzR1tH6TQDyrQFBtmhihUNx4y1iLQy3pmxWLT5McaMt3GiANoKKoI0DjSAuxdhsUdeejEixNaApN8HnDLaUTb/Fli/YHA8IfpOt1tFkqTxyAb+1xUALNusJW6J0toaMNjfJY420NZpNQRy1ZEyayCQoZZuRbW0RW0+TNWxNAp1GmKqj1prGFeTtmJC3RFUyAWnGaN7QKuRhypACJzANSu2FUaP42jNqIriG2hWU9WBW5jVuOiC2GbgM2gkhFrh2SuMKivEWrh7RZJu4eoSEBqmHjHSTdrhFbIR8MKQttsAXxLwhiqfYGhDYBI1IM2FaCvXWFqKKTIc01Wx+zQhUiY0gMaA+B4344YAgmwSXk29tIe2UwCZusgUiqfycB58T61QGrh7Ruk38YAtiQFRpXYrBj1KsElr8YEi7mealWYNmU9QXbI0DlW4hGpG2hlAT/CbqMvzWVtr/6iHTYpNsuoUfDInFLDa3id8aEKdp39EiUEtGs/2eLwhlJBtsMWwKaqdIO2XsagqfjrPudIDmLVs+p3QTpBnRaoXMjv2IIEJ60pA4IumgbaJSa03w6RIfERjWMdUTuWNYR5pM8E7Ymq3Hdn3ytOqkZnLujVNoANjc3Dzl7bIsL9glSrfffjuHDh1ieXmZ66+/ng984AMcOnTogsRyoW3vF5uDAZIpOA+TIZI1aD1Of7eOOBghRcBphk6GxNEIqQPaNul4K4YgQhiO0r46HOPLIQAupro8DkYAtMMx9XhKMRyzNakJdUs7njKZ1IRpjQuRDGWrbpDJlNG0ZtC0NLUjnzYMmhatG0ZNy7Rtqer0XtO2NKEla2EaAtq21I0wioGsbZmGQNZCGwJb05pJ3TBtWmTaMGxbfD371ynj0DKYLSPLYKyBwWw5bdsyigEfWnzTkjtl3LQMQ8C1LVuTmmHbUocWgFEMDJqWqUaGIaAxULYtRZOO57Zu0rSz43tQN2SZZ9i2bNXNfPow+38WHFvThlHTEEOavphMGbYphkHdIF6om5bN0YStSY2b/euHY8bjVKbl7P/laAIute8uCNlgiIaAeI82DY4crRViJLYOnSqEmq3MMW4jdVTqVhmOWzY7LYOtmrpVQu4YDmp87XEijAdDhnnLeLiFE2EkNeNRzTALjAdDnBNG1IymLeQeyT1ehMlwi9EAMieMB2Omwwl1iIwGBfVowGSo1KMho8HW7G9hVASmowH1eIpvM0aDDtPhgGY8pJGMyTD9wtyMh7SThnrkacZjatfgnTAeZjTjIZNhRTMeEKZD2qyhyVrayRj1jjBpqEcDmvGYMB0xGW7RjoeEEGl8Q9NGohPayZR6VDCNGe1kiHrHdFSg3uGc0I6H1CMYDx3T0TjtMwPHdDSgnaT1Gk9SPTodDRkPhMlwwlhzpqMBo0GHJkS8E5oQGY8bhltK5hzDccNoVJO1OV5As9mxmDuKkBEVcie0XhiMA77287phHCJNUHIvTNpI7oTcC5kIkxDJnOBF8MDgGWxnvl6/3+cXfv7/x9/7e38PWbySV7ziFc/4Mszue3JOAzCNzPOT9DkEVTInhJj6uq2CkvKW6HO2d6/4pP0sI9Li5t8LLqeJOp+3auojuXYKQOMKwmy/D6o0QWm90uLIiIimm8AHl5NNttAipH7MLG9Rl+FGW2je4uohsZEn7mXlPPMFqs76w2O0EaQepT63xvR+qFGXgS+gnUDWQGzn/XKdRiQ0xCLM+sFuHovmDRJSXkFsiY0nImTTLdR5XD1E8wCxJTQOP94Cl6HZlGH0BJfmI+0ULZVaMuph6kfjc9RlaKlkW4PUpwakndLWDt9OUh+4calPP9sWbRHJpluEmvl70owR1ZT7zMquUSjaMZr9Bf2/WT9XJM1DRXChoZGMPNaoL2g1bfMoHofSaGobIE0TEZwGRON8uu1tEnxJNtmiLgUnaft7ScubtpHaCxLq+X6igMB8f9mqAxQeERg3kdwLucCoVQovTFoFJuBzgkv7i9OAxHa+fhMyCi9sTQNN5ij8E+vYRqWRgIpL04ib5z4TV85zeHXZfN/27QREUtniqEdbbNUFuReKNrUnddYgzMYKwpAtDWSNR2Jgqo6mnu3ns5wsimfSRoJOiEVLHZQQlejCPP4QlTzW1K5I7UCYMian9im3lhhQ5wlRqYPS5A4XGsbqyZzMy/bJLYYXoYlprEIAN/vbC7RRGQ8Hp9QlT8eO8hmwnOYsiO5GT2APeeCBB7jyyisvdBjGmH3g/vvv54orrtjRtJPJhKuvvpqHH354R9P3+30Gg8Ep773vfe/j5ptv3tH8vt6tt97KTTfdxMmTJ8/43Y997GP0+32OHj3KPffcwz/5J/+Etm35/Oc/f0ne08jaGWPMM+XptDOn07Yt5RUv4U9//9/wnOc85xmfv9l91tYYY54JFzKfActpzmTfn0F32WWXcf/997OwsHBeT+ff3Nzkyiuv5P7772dxcfG8LfdiiGcvxWLxWDxnQ1XZ2trisssu2/E8qqrinnvuoa7rHcfw9XXYUzUcN9988/w076dyxx138OIXv3hHsTz53kXXXnstL37xizl69Cgf//jHed3rXrejeV7MrJ2xeC62ePZSLBZP8ky0M6eTZRnh4T/YlXmb8+NCtDV2bFo8+yWevRTLhYpnL+Qz23FYTvPU9v0AnXNuV36JPFuLi4t7ohLYtpfi2UuxgMVzJpd6PEtLS097HlVVUVXVMxDN6b397W/nDW94w2m/c9VVVz1jy1tfX+fo0aN8+ctffsbmeTGxduZUFs/p7aV49lIsYPE8E+2M2b8uZFtzqR+bZ2LxnN5eimcvxQIXZztzvvIZuDRzmn0/QGeMMZeatbU11tbWztvyjh8/zv3338/6+vp5W6YxxhhjjDFm/7oUcxp3wZZsjDHmgrvvvvu48847ue+++wghcOedd3LnnXeecm+I5z//+dx2220ADAYD3vnOd/KZz3yGr371q9x+++289rWvZW1tjR/4gR+4UKthjDHGGGOMuUTtl5zGzqDbJWVZ8r73vW/P3DB9L8Wzl2IBi+dMLJ797b3vfS8f/vCH539fd911AHziE5/ghhtuAODuu+9mY2MDAO89X/ziF/nIRz7CyZMnWV9f58Ybb+RjH/sYCwsL5z3+S9leOxYsntPbS/HspVjA4jFmr9prx4LFc3oWz8URC+y9ePaD/ZLT7PunuBpjjDHGGGOMMcYYs5fZJa7GGGOMMcYYY4wxxlxANkBnjDHGGGOMMcYYY8wFZAN0xhhjjDHGGGOMMcZcQDZAZ4wxxhhjjDHGGGPMBWQDdMYYY4wxxhhjjDHGXEA2QGeMMcYYY4wxxhhjzAWUXegALkXHjh3j3nvvpdvtsra2xqFDh1BVRMTisXjOWYwR5/bOWLvFY8zesJfqrr0Ui8WzM3upLt1LscDei8eY82Wv1V0Wz8URy1PZa3WpxWMuBFFVvdBBXEr+6I/+iNe97nVkWcbjjz/OVVddxXve8x7++l//6xaPxXNG99xzD7/1W7/FxsYG1157LX/tr/01ROSCNbAWjzF7016qu/ZSLBbP2dlLdeleimUvxmPMhbLX6i6L5+KIZdteq0stHrNnqDlvHnroIX3Ws56l/+gf/SO955579Nd//df1rW99q4qI/st/+S8tHovntL74xS/qgQMH9JWvfKVeeeWV+sIXvlBf/vKX64kTJ1RVNcZo8eyheIy5UPZS3bWXYrF4zs5eqkv3Uix7MR5jLpS9VndZPBdHLNv2Wl1q8Zi9xAbozqPPf/7z+qIXvUjvvffe+Xubm5v6gQ98QJ1z+uEPf1hVz99BZ/FcPPGMRiN9xSteoW9961vncfzu7/6ufvu3f7s+5znP0fvvv19VVUMIux6LxWPM3raX6q69FIvFc2Z7qS7dS7HsxXiMuZD2Wt1l8VwcsajuvbrU4jF7jQ3QnUe///u/ryKif/AHf3DK+5PJRN/znvdor9fTT3/60xaPxfMNTp48qS960Yv03/ybfzN/L8aof/7nf64vfelL9QUveIE2TTN/3+K5sPEYcyHtpbprL8Vi8ZzZXqpL91IsezEeYy6kvVZ3WTwXRyyqe68utXjMXmN3GTwPdHabvxe+8IXceOON/Mt/+S95+OGH55+XZcnf/bt/l+/6ru/iv/yX/3LKNBaPxQOwuLiI957f/d3fnb8nIlx99dV88IMfxDnHj/7oj87f320WjzF7z16qu/ZSLBbP2dtLdeleimUvxmPMhbDX6i6L5+KI5cn2Wl1q8Zi9xgbodtFoNGI0GjEYDABYWVnhr/7Vv8qnPvUpPvrRj/L444/Pv3vllVfS7/e54447gN054CyeiyueJ1NV/tbf+lv84R/+If/xP/7HUz775m/+Zn7oh36Iu+66ax77brN4jNk79lLdtZdisXjO3V6qS/dSLHsxHmPOp71Wd1k8F0csf5G9VpdaPGavsQG6XXLXXXfxute9ju/8zu/kb/7Nv8n73/9+AN75znfyqle9in/xL/4Fv/ALv8BDDz00n2ZhYYGjR48SQrB4LvF4Hn30UT772c9y5513cuzYMZxzvPGNbyTPc/75P//np/yqAunXsUceeWTXKmuLx5i9aS/VXXspFovn7OylunQvxbIX4zHmQtlrdZfFc3HEsm2v1aUWj9nzdv0i2kvQV77yFV1dXdWbbrpJf/Znf1bf85736OLior7mNa+ZP33lH//jf6zXXXedXnfddfqOd7xDf+iHfkgXFhb0rrvusngu8Xj+8A//UK+55hq95ppr9PLLL9drrrlGf/3Xf11VVb/0pS/pt33bt+krX/lK/df/+l+rqup4PNZ/9I/+kb785S/Xzc1Ni+c8x2PMhbKX6q69FIvFc3b2Ul26l2LZi/EYc6HstbrL4rk4Ytm21+pSi8dcDGyAbhf883/+z/Uv/+W/rNPpdP7e5z73OV1fX9fv/d7v1bquVVX13//7f6/vete79Hu/93v17/ydv6Nf/OIXLZ5LPJ6HH35Yr7rqKn3Xu96l99xzj95+++361re+Vb33+rM/+7Oqmhrg17/+9fqc5zxHDx8+rN/93d+tKysr+oUvfMHiOc/xGHMh7aW6ay/FYvGc2V6qS/dSLHsxHmMupL1Wd1k8F0csqnuvLrV4zMXCBuh2wbve9S791m/91vnfbduqquof//Ef68GDB/VNb3rTKd9vmmZXH5Vs8Vw88fzhH/6hvvCFL9Qvf/nLp7y//Sj0D37wg6qq+uijj+of/MEf6C233KIf+chHvuH7Fs/5iceYC2kv1V17KRaL58z2Ul26l2LZi/EYcyHttbrL4rk4YlHde3WpxWMuFjZAtws+8YlP6OLiot52223z97YryV//9V/XgwcP6m//9m9bPBbPN/iv//W/qojol770pVPiUFV9z3veo2VZ6p133nleYrF4jNnb9lLdtZdisXjObC/VpXsplr0YjzEX0l6ruyyeiyMW1b1Xl1o85mJhD4nYBc95znN49atfzQc/+EE+9alPAeC9B/7/7d17XM73/z/wx1W6LqWDYkoR4qOGxJpD+ZA5DtkctswhYWz2Q9gwH9m0PohtzD6fsWEOm5n4jG0O05hDPlbLRCtKmJzLsYMUHa7n7w/f3h8XlZqurrc87rdbt+16n67H9S7vR7f36937DbRt2xZWVla4ePEi8zDPQzp16gQ/Pz/MmjUL169fh7m5OfR6PUQEM2bMgJ+fH9asWYOioiLo9XrmMXEeIlNS07FLTVmY59HUdCxVUxY15iEyJbUdu5jnycgCqO9Yyjz0pOAJukpy/5NvXFxcEBQUhBs3bmDJkiXYs2ePMs/Z2RkuLi7KPzQRYR7mUZiZmSEgIADnz5/Hp59+iszMTJiZ3ftnamNjA3t7e5w/fx7m5ubKdOYxXR6iqqamY5easjBPxajpWKqmLGrMQ1TV1HbsYp4nI8uD1HYsZR56UtQwdYDqwtzcHCKCZcuWYcKECejbty/0ej2WLFmCGTNm4LXXXoOXlxd27tyJ5ORkdOvWDQCg0WgqNYeIQKPRqCZPMbXkUeP+0ev1MDMzU/771ltv4c8//8TOnTuRl5eHkJAQ2NvbAwCsrKxgY2ODwsJCmJubM48J8hCZkhqOXWo8jgLq2DeAevePmo6lasqixjxEpqSWY5daj6VqyKPWfaO2Yynz0BPJiH8++9Qo/pvxzz77TOrUqSNffPGFMu/QoUMSEhIiDg4O4unpKW3btpWjR49WeoY7d+4o/198w8+lS5eaLE96erpcu3bNYJop8zx4E1S9Xm/S79eD9Hq9vPHGG7Jx40Zl2pw5c6RDhw7StGlTCQ4OlldeeUWsra2N9rQl5iFSN1N3DXumbGrvmeJMajmWqimLGvMQmYKpe0aEXVMW9gzzUPXHE3R/QXp6uhw6dEi2bt1qMP3KlSuyfPlyuXHjxkPrZGZmys2bNyUrK6vS85w4cUJGjBghe/fuVUWehIQEadq0qSxZskRu3bpl8jwnT56UkJAQGTlypHz11Vdy/fp1k+YpyaFDh8Tb21smTpwoubm5yvQDBw7I1KlTpW/fvkZ9FPqDDh8+bLI8N27ckKtXrxpMi4uLU9X+IaoKauoa9kzZnoSeEVFX17BniExPTT0jwq4pC3vmr2HX0JOGJ+gqKCEhQVq3bi0tW7YUa2tref755+X27duPXM9Yj7G+e/euDBo0SDQajQQFBcmvv/5arvWMlSclJUXq1Kkj06dPL7Eo7n9CTVXkSUhIkDp16khAQIB07NhRWrVqJdu3b1fm6/X6Ks1z4sQJmTp1qgwZMkTCw8MlLi5Omff7779LZmZmqeuWlvVxnDlzRhYvXixvv/22REREGMw7evRolef5888/xc3NTd577z25dOmSyfMQmYqauoY9Uza19YyIurqGPUOkTmrqGRF2TVnYM4/GrqHqgifoKuDkyZPi6Ogos2bNkuTkZDlx4oR4eHhIYGBgict/+OGHMmHCBKPn+uc//yn9+vUTDw8P8ff3lwMHDhjML/5HXhV5pk2bJkOHDhWRe6Xwww8/yEcffSR79uxRDk5Vlefq1avSpk0bmT17tjKta9euMm/ePIPlqirP8ePHxc7OTvz9/WXEiBHi5OQknTt3lg8//LDE5ZOSkoyWReRe2Tdo0EB69Oghvr6+YmZmVmqWqsgjIvL555+LRqORtm3byrx58yQtLc2keYhMQY1dw54pmdp6RkRdXcOeIVInNfaMCLumJOyZR2PXUHXCR4KUU25uLubNm4cBAwYgLCwMHh4ecHd3x7hx45Camlri8mfOnMGRI0dw9epVo2SS/3sCj7W1NTp06ICdO3fi1KlT+OSTT5CcnIyZM2fi5MmT0Gg0VZIHAI4dO4Z27doBALp06YIPP/wQn376KSZPnozRo0cjJSUFGo0GOTk5Rs+Tnp6OvLw8DBgwQJnWpEkTnDp1Cv3790doaGiV5SkoKMDChQvxyiuvYNu2bVi3bh1iY2PRsmVLREREYO7cuQbLr1y5EgMGDMAvv/xS6VkA4Ny5cxg0aBCGDRuGyMhI/Prrr1i5ciUWL16M06dPP7S8sfMU8/X1xciRIzF48GAsXboUX375JTIzM02Wh6iqqa1r2DNlU1PPAOrqGvYMkTqprWcAdk1Z2DNlY9dQdcMTdOVUs2ZN6HQ6NG3aFObm5sr0Nm3a4OzZs8jMzERBQYEy3crKCnPnzsUPP/yAevXqGTVbly5dcPjwYTRu3BjfffcdUlJS8OKLL2LZsmVK4VlZWWHevHlGz+Pi4oJz584hPDwctWrVwqZNm3Du3DmEhYVBo9FgwYIFyM3NhbW1tdHz5ObmIj8/H7Gxsbh27RrCw8PxzTffwNXVFXXr1kV0dDSmTZuGa9euGT2PhYUF0tLSlO+HiMDV1RXvv/8+unTpgh07dmD9+vXK8q6urmjdujWaNm1a6Vn0ej0iIiLQrFkzzJo1S/l5bt++PSwsLAwe2V6sYcOGRstzPxFBdHQ0Zs2ahTfffBMrVqzAV199hUGDBiEkJERZzpj7h8iU1No17JmSqalnAPV0DXuGSL3U2jMAu6Yk7JnSsWuoWjLBVXtPlIKCAuVpQvffyLH4MuL9+/fL3/72N4P7EFy8eFHy8/ONlufBbR8+fFiaNWum3AC0f//+YmFhIV27dpXff//dKDlKy/PJJ59Iy5YtZfDgwbJgwQKDZT/99FNp3LixclNTY+W5e/eu8nr8+PHSpEkT6datm1hZWRncBHf9+vXi4uJicM8EYygsLJT8/HwZPXq0DBw4UPLy8kSv1yv3hTh37pz06dNHXnrpJYP1ynMfkL8qKipKZs6caTCtqKhImjRpIvv27StxHWPmuV+vXr0kNTVVRO5dpl+rVi2xs7OTn3/+2SR5iKqCmrqGPfPoPGrrGRH1dQ17hkhd1NQzxXnYNaVnYc+UD7uGqhteQVeGpKQkDB8+HD169MCoUaPwww8/KPPuPyOv1+thZnZvV06fPh0jRowwGHmq7DzdunXD6NGj8e2330JE4O3tDQ8PD2i1WowZMwZHjx7F119/jRs3bmD69Ok4dOhQpWd5MM+oUaPw448/YsqUKWjSpAm2bNmCpKQkg/3QuXNnWFlZIS8vz6h5unfvjsDAQGzfvh2ff/45Dh48iPfee08ZoSjWtm1bWFlZlTi6UhmKt2tubg4LCwsEBQVh69atWLFiBTQaDczMzKDX6+Hq6ooPPvgA27ZtQ3x8vMEIoTHyAPdGKMPDwwH8788KNBoNNBqNwfdsz549uHLlitHz3C8/Px8HDhwAAKSkpMDc3ByWlpb4448/cPnyZWW5ys5DZCpq6hr2TPnyqKVnAHV1DXuGSJ3U1DP352HXlJ6FPfPoPAC7hqofnqArxcmTJ+Hr6wutVouePXsiNTUVH330EUaPHg0AqFGjBgBAq9UiLy8PRUVFCAkJwdKlS7FgwYJK/4f2YJ4zZ87g448/xtixY1FUVAStVovatWtj586d+P777/Haa69h7dq1uH37NurXr1+pWUrKk5qaitmzZyM4OBgrVqxAnz59sGnTJqxevRo3b94EAGzcuBFWVlawsbExep7z589j1qxZGDt2LJydndG4cWMA9w7Yxb7++mvUrFlTmVfZeZYsWYK0tDRlmp+fHxYuXIipU6fiyy+/BADllyBra2u0aNECVlZWBhmNmef+EissLERubi7MzMxga2sLAJg1axZ69uxplMIvKU9xiXbo0AFmZmYIDg7Gzp07ER8fj+DgLiTmHgAAIBJJREFUYISGhiIiIsKov4AQVTU1dQ17pmJ5TN0zxZnU0jXsGSJ1UlPPlJSHXVN6FvZM+fKwa6haMc2Fe+qm1+slJCREXnnlFWXa7du35bPPPhNPT08JCAhQpkdFRYmXl5dMnTpVtFqtUS4vLitPixYtZOjQobJ69WoZMmSIxMbGisj/HqtdfCl7VeVp2bKljBw5UrKzs2XgwIHi5uYmTk5O0rNnT6lTp44cPXq0SvN4enrKsGHDpLCwUNq1ayfNmzeXMWPGyIgRI4yW59SpU+Lg4CAajUb+8Y9/yLVr1wxyffDBB6LRaCQkJEQOHz4s165dk5kzZ4qbm5ukp6dXaZ5iRUVFkpeXJ02bNpXDhw9LWFiY1KpVSw4dOlTleVavXi0ajUbq169v8OcMCxculJMnT1Z6HiJTUVPXsGf+eh5T9IyIurqGPUOkTmrqmUfledq7hj3zeHmKsWvoSccTdKUYNWqU/P3vfzeYlpubK19++aW0bdtW3n33XRER2bt3r2g0GqlTp45R//a/tDwrV66Ujh07yhtvvCFXr159aL3i+0pURZ7bt2/Ll19+Ka1bt5bw8HAREdm9e7d88sknsmbNGvnzzz+NkqW0PMXfL09PTwkPD5ecnBwZNmyY9OvXT15//XWjPNI6JydHxowZI6NGjZLPPvtMNBqNTJ8+3eB7U1RUJF9//bU4OTmJs7OzeHh4iIuLixw5cqTK8pRUaCIibdu2lXbt2olWqzXKvT7KkyclJUVmz56t/LJR/IsZUXWkpq5hz1Q8jyl6RkRdXcOeIVI3NfVMWXnYNeyZv5KHXUPVDU/QPaD44P+vf/1LfHx8JDk52WB+VlaWzJgxQzp06CAZGRmSlZUlvXv3lj/++MMkeTIzM2X69Oni4+NTYplVdZ7i/ePt7S0ZGRmqynP/DXELCgqMkic3N1eWLl0qERERIiKycePGEgtNRCQ1NVWioqIkMjJSLl68WOV57i+QwsJCuXHjhtjZ2Ym5ubkkJCSYNM/9N0s11i9kRKakpq5hz1RenqroGRF1dQ17hkid1NQz5cnzNHcNe+bx8rBrqDrhCbpSnD59WurWrSujR4+W7Oxsg3mXL18WMzMz2bx5s4iI0Z5uVNE833//vdFzPMl5ir9fxpaTk2PwOiIiQjQajUybNk05YBcUFMi5c+dMnqf46VMFBQVy/fp1iYyMlGPHjpksT3HhFxUVyZkzZ4yag0gN1NQ1T+JxXW15qqpnRNTVNewZIvVSU8+UN4/aju1VlYc989fzsGuouuAJujLs3btXdDqdTJgwweBM+PXr18Xb27vURzczD/OI3BvBKR4p2bBhgzKqcunSJZk6daoMGjRIcnJyqmw05VF5Bg4cWKWP+S7P/uFjx+lpoKZjl5qyME/5qKlr2DNE6qS2YxfzPBlZiqmpZ8qTh11DTzKeoHuErVu3ik6nk4EDB8q3334rx44dk3fffVccHR3l/PnzzMM8ZdLr9cr9BiIiIsTCwkLc3d2lRo0aRruh61/JY25urqo8pto/RKaipmOXmrIwT/mo6VjKniFSJ7Udu5jnychSTG3HUnYNVVc8QVcOcXFx4ufnJ66uruLm5ibu7u5Gufkl81TPPHq9XhlV6datmzg4OBjtfgjMQ/TkUtOxS01ZmKd81HQsVVMWNeYhMhW1HbuY58nIUkxtx1LmoepIIyICeqTs7GzcvHkTOTk5cHJyQt26dZmHecqtqKgI06dPx5IlSxAfH4/WrVszj4rzEJmKmo5dasrCPOWjpmOpmrKoMQ+Rqajt2MU8T0aWYmo7ljIPVTc1TB3gSWFrawtbW1tTx1AwT9nUlgcAWrZsiSNHjqjmQM08ROqjpmOXmrIAzFNeajqWqikLoL48RKagtmMX85ROTVnup7ZjKfNQdcIr6IiqiIhAo9GYOoaCeYiIqh81HUvVlAVQXx4ioieR2o6lzEPVCU/QERERERERERERmZCZqQMQERERERERERE9zXiCjoiIiIiIiIiIyIR4go6IiIiIiIiIiMiEeIKOiIiIiIiIiIjIhHiCjoiIiIiIiIiIyIR4go6oGggPD0e7du1gY2ODevXqYcCAAUhJSTFYRkQQGhoKZ2dnWFpaomvXrjh+/Lgy/+bNm5g0aRLc3d1hZWUFV1dXBAcHIysry2A7GRkZCAwMhJ2dHezs7BAYGIjMzMxy5bx48SK0Wi08PDwe+zNXxPHjxzF48GA0btwYGo0GS5YseWiZ0NBQaDQagy8nJ6cqzUlEpFbsmbKxZ4iIHg97pmzsmacDT9BVkdDQULRp06bK33f//v3KP84BAwZU+ftXpuLPUt6DZ0V07doVU6ZMqfTtVpWoqChMmDABv/32G3bv3o3CwkL06tULt2/fVpb58MMPsXjxYnz22Wf4/fff4eTkhJ49e+LWrVsAgMuXL+Py5cv4+OOPkZiYiLVr1yIyMhKvv/66wXsNGzYM8fHxiIyMRGRkJOLj4xEYGFiunGvXrkVAQAByc3Px66+/Vt4OeITc3Fy4ublhwYIFZZZUy5YtkZaWpnwlJiZWWUaix8WeeXzsmdKxZ8rGnqGnAXvm8bFnSseeKRt75ikh9NgAlPkVFBQkt27dkuvXr1d5tn379gkASUlJkYyMjCp//8pU/FmM8Tlu3Lgh2dnZlb7dijh27JgMGjRIGjVqJADkk08+eWiZ7OxsmTx5sri6ukrNmjXFx8dHDh06ZLBMaT+HNjY2smDBAhERuXPnjrz11lui0WjEwsJC+vfvLxcuXHjo/TZt2iRarVYKCgpEROSXX34RAKLT6aROnToyadIkOXDggACQEydOSF5engQFBUmrVq3E3NxcXn75ZWVber1e3NzcJDIyUt59910ZPXq0wXuFhoYKALGwsJBnn31WtmzZIkePHhUAkpqaKlFRUeLv7y92dnYCQLRarQwYMEAWLVokdnZ25d7PjRo1KnHfzpkzR7y8vMq9HaKqxJ6pGuwZ9gx7hp5W7JmqwZ5hz7BnqCw1HvcEHwFpaWnK/2/cuBHvv/++weW4lpaWsLa2hrW1tSniAQDq1auH2rVrm+z91c7BwcHUEZRRkVdffRVTp04tcZmxY8fi2LFjWLduHZydnfHNN9+gR48eSEpKgouLC4B7P4+pqanw9fXFvn37kJqaijFjxuDWrVvo1asXAGDKlCnYtm0bOnbsiDp16iAnJwf+/v6Ii4uDubm58n5ZWVmwtbVFjRo1UFRUhKCgINSoUQMxMTG4ceMGgoKCICKws7NDdHQ0GjRoAEtLSwQHB2Pz5s0G2fft24fc3Fz06NEDDRo0QIcOHfDpp5/CxsYGMTExCAsLAwAcPHgQe/bsQUBAAFavXq2sf/v2bTg4OCgjZIsXL4ZGo8F7771Xad+DU6dOwdnZGTqdDh06dMD8+fPh5uZWadsn+qvYM08+9gx7BmDPkHqxZ5587Bn2DMCeeeKZ+ARhtbNmzZoSz34/eDY7KChIXn75ZZk3b57Uq1dP7OzsJDQ0VAoKCmTatGlib28vLi4usmrVKoPtXLx4UQICAqR27dri4OAgL730kqSmppaap7RRmv/85z/SqlUrqVmzpjg4OEj37t0lJydHmb969Wrx8PAQnU4n7u7usnTpUoP1L1y4IEOGDBF7e3uxsrISb29v+e2335T5y5YtEzc3N7GwsJDmzZvL119/bbA+AFm5cqUMGDBALC0tpVmzZvLjjz8aLLNjxw7529/+JjVr1pSuXbvKmjVrDD7L2bNnxd/fX2rXri1WVlbSokUL2bFjR6n7YunSpdKsWTPR6XRSr149GTx4sDLPz89PJk+erLxu1KiRzJs3T0aPHi3W1tbSsGFDWb58eYX2wdatW+W5554TnU4nTZo0Ub6/5VHSqEhubq6Ym5vL9u3bDaZ7eXlJSEiI8lqv10v//v3l73//u4iIvPzyy+Lt7S0A5NKlS5KZmSkWFhYSEREh48aNk169esmlS5fEzMxMIiMjle1cv35dXF1dlW3/9NNPotFopEmTJsoyGzZsEJ1OJ02bNpX58+cb5Cr+GS82bNgwmTJlikHulStXiohIQECAtGvXzuD727t3b+ndu7cy4iQiMmTIEOnXr58AkO+//15ERIYPH14pI04//fSTfPfdd5KQkCC7d+8WPz8/cXR0NMlIMVFZ2DP3sGfYM+wZIuNgz9zDnmHPsGeoqvEedCa0d+9eXL58GQcOHMDixYsRGhoKf39/2NvbIzY2FuPHj8f48eNx4cIFAPdGJF544QVYW1vjwIEDOHjwIKytrfHiiy8iPz+/3O+blpaGoUOHYsyYMUhOTsb+/fsxaNAgiAgAYOXKlQgJCcG8efOQnJyM+fPn47333sNXX30FAMjJyYGfnx8uX76MrVu34o8//sCMGTOg1+sBAN9//z0mT56Md955B8eOHcObb76J0aNHY9++fQY5PvjgAwQEBCAhIQF9+/bF8OHDcfPmTQDAhQsXMGjQIPTt2xfx8fEYO3YsZs6cabD+hAkTcPfuXRw4cACJiYlYuHBhqaN6hw8fRnBwMMLCwpCSkoLIyEh06dKlzP20aNEiPP/88zh69Cj+3//7f3jrrbdw4sSJcu2Dn3/+GSNGjEBwcDCSkpKwfPlyrF27FvPmzSv39+lBhYWFKCoqQs2aNQ2mW1pa4uDBg8rriRMnIiEhARs2bMCVK1ewY8cO+Pv7AwA0Gg3i4uJQUFCAXr16QUSg0Wjg7OyMVq1aITo6GgCQnZ2Nfv36oUWLFpgzZw4AICYmBo6OjrCwsFDeq3fv3rh79y7u3LkDjUYD4N59D6ytrbF+/XrExMQAADIzM7FlyxaMGDFCWXfEiBHKiFJMTAzatWtn8Ll69+6NP/74w2BaSkoK2rdvbzDt/tfnz59XRnetra0xf/788u5e9OnTB4MHD4anpyd69OiBHTt2AIDyc0/0JGLPsGcqgj3DniGqKPYMe6Yi2DPsGXoEU54drI4qMuLUqFEjKSoqUqa5u7tL586dldeFhYVSq1Yt2bBhg4iIrFq1Stzd3UWv1yvL3L17VywtLeXnn38uMU9JI05xcXECQM6ePVviOg0bNpRvv/3WYNo///lP8fHxERGR5cuXi42Njdy4caPE9X19fWXcuHEG01599VXp27ev8hqAzJ49W3mdk5MjGo1Gdu7cKSIi//jHP+TZZ581+KzvvvuuwWfx9PSU0NDQEjM8aPPmzWJra1vqfRlKGnEaMWKE8lqv10u9evXk888/F5FH74POnTs/NAKzbt06qV+/frnyljYq4uPjI35+fnLp0iUpLCyUdevWiUajkebNm4uIyMSJE6VBgwZy5swZERFZuHCh2NvbS1JSkgCQI0eOyPr160Wr1YqIyEsvvSQjR44UEZGePXvKG2+8IdnZ2eLj4yPdu3eXvLw85b3HjRsnLVq0eOjnW6vVipWVlaxevVpE7o0Enjp1SgYOHCi9evUSkXujfQDE3Nxc+TIzMxMAcvz4cbGwsJDZs2cLALl586aIiKxfv15q1KhhMOLk5eUlYWFhBiNOS5YsUTIVFBTIqVOnlK+Svj+l7duS9OjRQ8aPH1+uZYmqCnuGPSPCnmHPEBkPe4Y9I8KeYc+QKfAKOhNq2bIlzMz+9y1wdHSEp6en8trc3Bx16tTB1atXAQBxcXE4ffo0bGxslDPqDg4OuHPnDv78889yv6+Xlxe6d+8OT09PvPrqq1i5ciUyMjIAANeuXcOFCxfw+uuvG5y5nzt3rvIe8fHxaNu2ban3OUhOTkanTp0MpnXq1AnJyckG01q3bq38f61atWBjY6N81uTkZHTs2FEZxQAAHx8fg/WDg4Mxd+5cdOrUCXPmzEFCQkKpn7lnz55o1KgR3NzcEBgYiPXr1yM3N7fM/XR/vuJHVBfne9Q+iIuLQ1hYmME+HDduHNLS0h75vmVZt24dRAQuLi7Q6XT417/+hWHDhsHMzAwTJ07Eli1bsHfvXjRp0gQAsHr1agwfPhweHh5wcnLC7t27lW3l5+cjKioKvr6+AO49trx4JOrEiROIiYlB3bp10bJlS2Wd2rVrIysrC4cOHVKmFRUVITc3V9lOo0aN0KxZM9ja2sLS0hIAsGrVKrzzzjvYuXMntFottFotdDod3NzclFEnOzs7AP+7B4r83wjo/Tw8PAzeG7g3mlisRo0aaNasmfL1OPfiuHv3LpKTk1G/fv2/vA0iU2PPsGcqij3DniGqCPYMe6ai2DPsGSodHxJhQvdfWgvcO2iWNK34MmO9Xg9vb2+sX7/+oW0988wz5X5fc3Nz7N69G9HR0di1axf+/e9/IyQkBLGxsbCysgJw77LwDh06PLQeAOUgVZb7iwiAcunx/cr6rCUdzB40duxY9O7dGzt27MCuXbsQHh6ORYsWYdKkSQ8ta2NjgyNHjmD//v3YtWsX3n//fYSGhuL3338v9WazZeV71D7Q6/X44IMPMGjQoIfmPXhJd0U0bdoUUVFRuH37NrKzs1G/fn0MGTIEubm5+Oabb/Djjz/CxsYG6enp+O2335CSkoKNGzdCo9FgypQpmD9/Pt5++23k5+dj2LBhsLKywrBhwwDcK5Lk5GQ4ODhg27Ztyi9bxTdUdXJyQmxsLF588UWMGzcOy5cvR3Z2NoqKitCxY0e4u7uXmDk+Ph5HjhzB+vXr0axZM4NfPLZv34758+fD0dERANCwYUOEhoZi7ty52L9//0PbmjRpknIp/+XLl7F8+XLs3LnzoZ+tB+Xn5yMpKUn5/0uXLiE+Ph7W1tZo1qwZAGDatGno378/XF1dcfXqVcydOxfZ2dkICgqqwHeISF3YM+yZimLPsGeIKoI9w56pKPYMe4bKYIKr9qq1it5U9X4PXpYsYnj56ooVK8Te3l6ysrLKnac8j/IuLCwUFxcXWbRokYiIuLi4SFhYWKnLr127VmxtbSt8SXi/fv2U17jvkt5idnZ2smbNGhH53yXh95s5c2aZn2XmzJni6elZau775eTkSI0aNWTz5s0iUvIl4Q9eNuzl5SVz5swRkfLtgzFjxpQrS0nKe9nyzZs3lcd0l/TVqFEjZVm9Xi9z5swRR0dHASDPPvusJCYmiojI5cuXRaPRlLqd1NRU+emnn8TMzEyOHz8uw4cPFxsbG7G0tBQzMzM5d+7cQ9mKf8YnTpwoLVq0KDH/1atXxdzcXHx9faVPnz5y8OBB8fT0lJo1a4q9vb106tTJ4JJwkXv/DnDfY8nnzp0rTk5OZe6n1NTUEj+Xn5+fssyQIUOkfv36YmFhIc7OzjJo0CA5fvz4I78HRFWNPcOeEWHPiLBniIyFPcOeEWHPiLBnqOrxCronyPDhw/HRRx/h5ZdfRlhYGBo0aIDz589jy5YtmD59Oho0aFCu7cTGxmLPnj3o1asX6tWrh9jYWFy7dg3PPvssACA0NBTBwcGwtbVFnz59cPfuXRw+fBgZGRl4++23MXToUMyfPx8DBgxAeHg46tevj6NHj8LZ2Rk+Pj6YPn06AgIC8Nxzz6F79+7Ytm0btmzZgl9++aXcn3X8+PFYtGgR3n77bbz55puIi4vD2rVrDZaZMmUK+vTpg+bNmyMjIwN79+5VPsODtm/fjjNnzqBLly6wt7fHTz/9BL1eX+ooyaM8ah+8//778Pf3R8OGDfHqq6/CzMwMCQkJSExMxNy5c0vcZnlGRX7++WeICNzd3XH69GlMnz4d7u7uOHjwoMEIWfFo1P03otVoNAgNDUVoaCjeeustbN++HVeuXEFBQQGmTZuG1q1bP/RY8vs1bNgQLVq0QHBwMD766COMHj0ao0aNwoABA+Dq6qosl5SUhPz8fNy8eRO3bt1CaGgoXn/99RK3+cwzz6CwsBDR0dHo0qUL/Pz8sGnTJvz444+YPXs2Fi1apIx85uTk4PTp08rNVxcsWIAXXngBCxcuVPZPaRo3bvzIUcyIiIgy5xM9Ddgzaw2WYc+wZ9gzRJWLPbPWYBn2DHuGPUMGTHl2sDoy5oiTiEhaWpqMHDlS6tatKzqdTtzc3GTcuHGljkKVNOKUlJQkvXv3lmeeeUZ0Op00b95c/v3vfxust379emnTpo1otVqxt7eXLl26yJYtW5T5Z8+elcGDB4utra1YWVnJ888/L7Gxscr88jyWvKwRJxGRbdu2KY8R79y5s6xevdrgs0ycOFGaNm0qOp1OnnnmGQkMDCz1EdL//e9/xc/PT+zt7cXS0lJat24tGzduVOZXdMSpPPsgMjJSfH19xdLSUmxtbaV9+/ayYsWKEvOJlG9UZOPGjeLm5iZarVacnJxkwoQJkpmZ+dC2li9fLpaWliXOExHJy8uTiRMnioODg1haWoq/v7+cP3++1GzFzp07J/369RNLS0txcHCQiRMnyp07dwyWadSoUYmf41H+85//iLu7u1hYWIiHh4cyGlis+Gf5wS8zMzPl8eZETwP2zD3sGfYMe4bIONgz97Bn2DPsGapqGpFy/HE8PbH279+PF154ARkZGaXem4DoSRIQEID9+/fj1q1bcHNzw6RJkzB+/HhTxyJ6arFnqLphzxCpC3uGqhv2DJWGf+L6lGjQoAH69++PDRs2mDoK0WPZtGmTqSMQUQnYM1RdsGeI1Ik9Q9UFe4ZKwyvoqrm8vDxcunQJAGBtbQ0nJycTJyIiouqEPUNERMbEniGipwVP0BEREREREREREZmQmakDEBERERERERERPc14go7IRM6ePQuNRgONRoM2bdqYOg4REVUz7BkiIjIm9gxR5eIJOlKNZcuWoUmTJqhZsya8vb3x3//+V5knIggNDYWzszMsLS3RtWtXHD9+/JHbTExMhJ+fHywtLeHi4oKwsDA8+FfdUVFR8Pb2Rs2aNeHm5oYvvvjikdu9e/cuJk2ahLp166JWrVp46aWXcPHiRYNlMjIyEBgYCDs7O9jZ2SEwMBCZmZnK/IYNGyItLQ3vvPPOI9+PiIgeH3uGiIiMiT1DRI9FiFQgIiJCLCwsZOXKlZKUlCSTJ0+WWrVqyblz50REZMGCBWJjYyObN2+WxMREGTJkiNSvX1+ys7NL3WZWVpY4OjrKa6+9JomJibJ582axsbGRjz/+WFnmzJkzYmVlJZMnT5akpCRZuXKlWFhYyHfffVdm3vHjx4uLi4vs3r1bjhw5Ii+88IJ4eXlJYWGhssyLL74orVq1kujoaImOjpZWrVqJv7//Q9uaM2eOeHl5VXCPERFRRbBnvCq4x4iIqCLYM14V3GNE9CCeoCNVaN++vYwfP95gmoeHh8ycOVP0er04OTnJggULlHl37twROzs7+eKLL0rd5rJly8TOzk7u3LmjTAsPDxdnZ2fR6/UiIjJjxgzx8PAwWO/NN9+Ujh07lrrdzMxMsbCwkIiICGXapUuXxMzMTCIjI0VEJCkpSQDIb7/9piwTExMjAOTEiRMG22OhEREZH3vGq9T3IyKix8ee8Sr1/YiofPgnrmRy+fn5iIuLQ69evQym9+rVC9HR0UhNTUV6errBfJ1OBz8/P0RHRyvTRo0aha5duyqvY2Ji4OfnB51Op0zr3bs3Ll++jLNnzyrLPPi+vXv3xuHDh1FQUAAA2L9/PzQajbJOXFwcCgoKDNZzdnZGq1atlDwxMTGws7NDhw4dlGU6duwIOzs7g8xERGR87BkiIjIm9gwRVQaeoCOTu379OoqKiuDo6Ggw3dHREenp6UhPT1delzS/WP369eHq6qq8Tk9PL3Gd4nllLVNYWIjr168DAKysrODu7g4LCwtlHa1WC3t7+1LzpKeno169eg991nr16hlkJiIi42PPEBGRMbFniKgy1DB1AKJiGo3G4LWIGEx71Pzw8PBybfPB6Y9apn379jhx4sQj8z8qb0nLEBFR1WHPEBGRMbFniOhx8Ao6Mrm6devC3Nz8oZGYq1evwtHREU5OTgBQ6vzSODk5lbgO8L+Rp9KWqVGjBurUqVPqdvPz85GRkVFqHicnJ1y5cuWhda9du1ZmZiIiqnzsGSIiMib2DBFVBp6gI5PTarXw9vbG7t27Dabv3r0bvr6+aNKkCZycnAzm5+fnIyoqCr6+vqVu18fHBwcOHEB+fr4ybdeuXXB2dkbjxo2VZR583127duH5559XLgF/kLe3NywsLAzWS0tLw7Fjx5Q8Pj4+yMrKwqFDh5RlYmNjkZWVVWZmIiKqfOwZIiIyJvYMEVWKqn4qBVFJih9LvmrVKklKSpIpU6ZIrVq15OzZsyJy77HkdnZ2smXLFklMTJShQ4c+9FjymTNnSmBgoPI6MzNTHB0dZejQoZKYmChbtmwRW1vbEh9LPnXqVElKSpJVq1Y99Fjy2NhYcXd3l4sXLyrTxo8fLw0aNJBffvlFjhw5It26dSvxseStW7eWmJgYiYmJEU9PTz6WnIjIRNgzXpWyH4mIqGTsGa9K2Y9ETzOeoCPVWLp0qTRq1Ei0Wq0899xzEhUVpczT6/UyZ84ccXJyEp1OJ126dJHExESD9YOCgsTPz89gWkJCgnTu3Fl0Op04OTlJaGio8kjyYvv375e2bduKVquVxo0by+eff24wf9++fQJAUlNTlWl5eXkyceJEcXBwEEtLS/H395fz588brHfjxg0ZPny42NjYiI2NjQwfPlwyMjIe+twsNCKiqsGeISIiY2LPENHj0Ij83x0kicgkQkND8cMPPyA+Pt7UUYiIqBpizxARkTGxZ4gqB5/iSmQi58+fR4sWLZCfn48WLVqYOg4REVUz7BkiIjIm9gxR5eIVdEQmUlhYiLNnzwIAdDodGjZsaNpARERUrbBniIjImNgzRJWLJ+iIiIiIiIiIiIhMyMzUAYiIiIiIiIiIiJ5mPEFHRERERERERERkQjxBR0REREREREREZEI8QUdERERERERERGRCPEFHRERERERERERkQjxBR0REREREREREZEI8QUdERERERERERGRCPEFHRERERERERERkQjxBR0REREREREREZEL/H4TnEZ0IhYiPAAAAAElFTkSuQmCC",
+            "text/plain": [
+              "<Figure size 1500x400 with 6 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "fig, axes = plt.subplots(1, 3, figsize=(15, 4))\n",
+        "\n",
+        "for i, ax in enumerate(axes):\n",
+        "    ds[\"vel\"][i].plot(ax=ax, vmin=-1.5, vmax=1.5, cmap=\"RdBu_r\")\n",
+        "    ax.set_title(ds[\"vel\"].coords[\"dir\"].values[i])\n",
+        "    ax.tick_params(axis=\"x\", labelrotation=45)\n",
+        "    ax.plot(ds[\"time\"], ds[\"depth\"], color=\"black\", label=\"Depth\")"
       ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, axes = plt.subplots(1, 3, figsize=(15, 4))\n",
-    "\n",
-    "for i, ax in enumerate(axes):\n",
-    "    ds[\"vel\"][i].plot(ax=ax)\n",
-    "    ax.set_title(ds[\"vel\"].coords[\"dir\"].values[i])\n",
-    "    ax.tick_params(axis=\"x\", labelrotation=45)\n",
-    "\n",
-    "plt.tight_layout()"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 3. Average the Data\n",
-    "\n",
-    "As this deployment was configured in \"burst mode\", a standard step in the analysis process is to average the velocity data into time bins. \n",
-    "\n",
-    "However, if the instrument was set up in an \"averaging mode\" (where a specific profile and/or average interval was set, for instance, averaging 5 minutes of data every 30 minutes), this step would have been performed within the ADCP during deployment and can thus be skipped.\n",
-    "\n",
-    "To average the data into time bins (also known as ensembles), you should first initialize the binning tool `ADPBinner`. The parameter \"n_bin\" represents the number of data points in each ensemble. In this case, we're dealing with 300 seconds' worth of data. The \"fs\" parameter stands for the sampling frequency, which for this deployment is 1 Hz. Once the binning tool is initialized, you can use the `bin_average` function to average the data into ensembles."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [],
-   "source": [
-    "avg_tool = api.ADPBinner(n_bin=ds.fs * 300, fs=ds.fs)\n",
-    "ds_avg = avg_tool.bin_average(ds)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Dateframe, velocity histogram, and contour plot for 5 minute averaged velocity. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
+    },
     {
-     "data": {
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-       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "</symbol>\n",
-       "</defs>\n",
-       "</svg>\n",
-       "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
-       "\n",
-       ":root {\n",
-       "  --xr-font-color0: var(\n",
-       "    --jp-content-font-color0,\n",
-       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
-       "  );\n",
-       "  --xr-font-color2: var(\n",
-       "    --jp-content-font-color2,\n",
-       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
-       "  );\n",
-       "  --xr-font-color3: var(\n",
-       "    --jp-content-font-color3,\n",
-       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
-       "  );\n",
-       "  --xr-border-color: var(\n",
-       "    --jp-border-color2,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
-       "  );\n",
-       "  --xr-disabled-color: var(\n",
-       "    --jp-layout-color3,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
-       "  );\n",
-       "  --xr-background-color: var(\n",
-       "    --jp-layout-color0,\n",
-       "    var(--pst-color-on-background, white)\n",
-       "  );\n",
-       "  --xr-background-color-row-even: var(\n",
-       "    --jp-layout-color1,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
-       "  );\n",
-       "  --xr-background-color-row-odd: var(\n",
-       "    --jp-layout-color2,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
-       "  );\n",
-       "}\n",
-       "\n",
-       "html[theme=\"dark\"],\n",
-       "html[data-theme=\"dark\"],\n",
-       "body[data-theme=\"dark\"],\n",
-       "body.vscode-dark {\n",
-       "  --xr-font-color0: var(\n",
-       "    --jp-content-font-color0,\n",
-       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
-       "  );\n",
-       "  --xr-font-color2: var(\n",
-       "    --jp-content-font-color2,\n",
-       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
-       "  );\n",
-       "  --xr-font-color3: var(\n",
-       "    --jp-content-font-color3,\n",
-       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
-       "  );\n",
-       "  --xr-border-color: var(\n",
-       "    --jp-border-color2,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
-       "  );\n",
-       "  --xr-disabled-color: var(\n",
-       "    --jp-layout-color3,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
-       "  );\n",
-       "  --xr-background-color: var(\n",
-       "    --jp-layout-color0,\n",
-       "    var(--pst-color-on-background, #111111)\n",
-       "  );\n",
-       "  --xr-background-color-row-even: var(\n",
-       "    --jp-layout-color1,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
-       "  );\n",
-       "  --xr-background-color-row-odd: var(\n",
-       "    --jp-layout-color2,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
-       "  );\n",
-       "}\n",
-       "\n",
-       ".xr-wrap {\n",
-       "  display: block !important;\n",
-       "  min-width: 300px;\n",
-       "  max-width: 700px;\n",
-       "  line-height: 1.6;\n",
-       "}\n",
-       "\n",
-       ".xr-text-repr-fallback {\n",
-       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-header {\n",
-       "  padding-top: 6px;\n",
-       "  padding-bottom: 6px;\n",
-       "  margin-bottom: 4px;\n",
-       "  border-bottom: solid 1px var(--xr-border-color);\n",
-       "}\n",
-       "\n",
-       ".xr-header > div,\n",
-       ".xr-header > ul {\n",
-       "  display: inline;\n",
-       "  margin-top: 0;\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type,\n",
-       ".xr-obj-name,\n",
-       ".xr-group-name {\n",
-       "  margin-left: 2px;\n",
-       "  margin-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-name::before {\n",
-       "  content: \"📁\";\n",
-       "  padding-right: 0.3em;\n",
-       "}\n",
-       "\n",
-       ".xr-group-name,\n",
-       ".xr-obj-type {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-sections {\n",
-       "  padding-left: 0 !important;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
-       "  margin-block-start: 0;\n",
-       "  margin-block-end: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input {\n",
-       "  display: inline-block;\n",
-       "  opacity: 0;\n",
-       "  height: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input + label {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "  border: 2px solid transparent !important;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label {\n",
-       "  cursor: pointer;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:focus + label {\n",
-       "  border: 2px solid var(--xr-font-color0) !important;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label:hover {\n",
-       "  color: var(--xr-font-color0);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary {\n",
-       "  grid-column: 1;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  font-weight: 500;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.5em;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in + label:before {\n",
-       "  display: inline-block;\n",
-       "  content: \"►\";\n",
-       "  font-size: 11px;\n",
-       "  width: 15px;\n",
-       "  text-align: center;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label:before {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label:before {\n",
-       "  content: \"▼\";\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary,\n",
-       ".xr-section-inline-details {\n",
-       "  padding-top: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-details {\n",
-       "  display: none;\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-top: 4px;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box {\n",
-       "  display: inline-grid;\n",
-       "  grid-template-columns: 0px 20px auto;\n",
-       "  width: 100%;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-vline {\n",
-       "  grid-column-start: 1;\n",
-       "  border-right: 0.2em solid;\n",
-       "  border-color: var(--xr-border-color);\n",
-       "  width: 0px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-hline {\n",
-       "  grid-column-start: 2;\n",
-       "  grid-row-start: 1;\n",
-       "  height: 1em;\n",
-       "  width: 20px;\n",
-       "  border-bottom: 0.2em solid;\n",
-       "  border-color: var(--xr-border-color);\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents {\n",
-       "  grid-column-start: 3;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: \"(\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: \")\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: \",\";\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  border-color: var(--xr-background-color-row-odd);\n",
-       "  margin-bottom: 0;\n",
-       "  padding-top: 2px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "  border-color: var(--xr-background-color-row-even);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  border-top: 2px dotted var(--xr-background-color);\n",
-       "  padding-bottom: 20px !important;\n",
-       "  padding-top: 10px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in + label,\n",
-       ".xr-var-data-in + label,\n",
-       ".xr-index-data-in + label {\n",
-       "  padding: 0 1px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > pre,\n",
-       ".xr-index-data > pre,\n",
-       ".xr-var-data > table > tbody > tr {\n",
-       "  background-color: transparent !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
-       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
-       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
-       "  color: var(--xr-font-color0);\n",
-       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
-       "  stroke-width: 0.8px;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 379kB\n",
-       "Dimensions:         (time: 183, dirIMU: 3, dir: 4, range: 28, beam: 4,\n",
-       "                     earth: 3, inst: 3, q: 4, time_b5: 183, range_b5: 28)\n",
-       "Coordinates:\n",
-       "  * time            (time) datetime64[ns] 1kB 2020-08-15T00:22:30.001030683 ....\n",
-       "  * dirIMU          (dirIMU) &lt;U10 120B &#x27;streamwise&#x27; &#x27;x-stream&#x27; &#x27;vert&#x27;\n",
-       "  * dir             (dir) &lt;U10 160B &#x27;streamwise&#x27; &#x27;x-stream&#x27; &#x27;vert1&#x27; &#x27;vert2&#x27;\n",
-       "  * range           (range) float64 224B 1.2 1.7 2.2 2.7 ... 13.2 13.7 14.2 14.7\n",
-       "  * beam            (beam) int32 16B 1 2 3 4\n",
-       "  * earth           (earth) &lt;U1 12B &#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;\n",
-       "  * inst            (inst) &lt;U1 12B &#x27;X&#x27; &#x27;Y&#x27; &#x27;Z&#x27;\n",
-       "  * q               (q) &lt;U1 16B &#x27;w&#x27; &#x27;x&#x27; &#x27;y&#x27; &#x27;z&#x27;\n",
-       "  * time_b5         (time_b5) datetime64[ns] 1kB 2020-08-15T00:22:29.93849515...\n",
-       "  * range_b5        (range_b5) float64 224B 1.2 1.7 2.2 2.7 ... 13.7 14.2 14.7\n",
-       "Data variables: (12/38)\n",
-       "    c_sound         (time) float32 732B 1.502e+03 1.502e+03 ... 1.498e+03\n",
-       "    temp            (time) float32 732B 14.49 14.59 14.54 ... 13.62 13.56 13.5\n",
-       "    pressure        (time) float32 732B 9.712 9.699 9.685 ... 9.58 9.584 9.591\n",
-       "    mag             (dirIMU, time) float32 2kB 3.534 3.565 ... -197.1 -197.1\n",
-       "    accel           (dirIMU, time) float32 2kB -1.261 -1.263 ... 9.714 9.712\n",
-       "    batt            (time) float32 732B 16.48 16.48 16.48 ... 16.25 16.26 16.26\n",
-       "    ...              ...\n",
-       "    heading         (time) float32 732B 3.287 3.261 3.337 ... 3.331 3.352 3.352\n",
-       "    pitch           (time) float32 732B -0.05523 -0.07217 ... -0.04288 -0.0429\n",
-       "    roll            (time) float32 732B -7.414 -7.424 -7.404 ... -6.433 -6.436\n",
-       "    water_density   (time) float32 732B 1.023e+03 1.023e+03 ... 1.023e+03\n",
-       "    depth           (time) float32 732B 10.28 10.26 10.25 ... 10.14 10.15 10.15\n",
-       "    U_std           (range, time) float32 20kB 0.04232 0.04293 ... nan nan\n",
-       "Attributes: (12/41)\n",
-       "    fs:                        1\n",
-       "    n_bin:                     300\n",
-       "    n_fft:                     300\n",
-       "    description:               Binned averages calculated from ensembles of s...\n",
-       "    filehead_config:           {&quot;CLOCKSTR&quot;: {&quot;TIME&quot;: &quot;\\&quot;2020-08-13 13:56:21\\&quot;...\n",
-       "    inst_model:                Signature1000\n",
-       "    ...                        ...\n",
-       "    has_imu:                   1\n",
-       "    beam_angle:                25\n",
-       "    range_offset:              0.6\n",
-       "    declination:               15.8\n",
-       "    declination_in_orientmat:  1\n",
-       "    principal_heading:         11.1898</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-94cd68dd-7aac-478a-80b1-3a6f39b8452a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-94cd68dd-7aac-478a-80b1-3a6f39b8452a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 183</li><li><span class='xr-has-index'>dirIMU</span>: 3</li><li><span class='xr-has-index'>dir</span>: 4</li><li><span class='xr-has-index'>range</span>: 28</li><li><span class='xr-has-index'>beam</span>: 4</li><li><span class='xr-has-index'>earth</span>: 3</li><li><span class='xr-has-index'>inst</span>: 3</li><li><span class='xr-has-index'>q</span>: 4</li><li><span class='xr-has-index'>time_b5</span>: 183</li><li><span class='xr-has-index'>range_b5</span>: 28</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3bbb6d59-0298-4fdb-a533-98ba028cbc81' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3bbb6d59-0298-4fdb-a533-98ba028cbc81' class='xr-section-summary' >Coordinates: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-08-15T00:22:30.001030683 .....</div><input id='attrs-83f5cfe5-8633-46aa-ae9d-9ed27402e9a2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-83f5cfe5-8633-46aa-ae9d-9ed27402e9a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4595c08c-025a-4bd3-9186-a759a86a2e83' class='xr-var-data-in' type='checkbox'><label for='data-4595c08c-025a-4bd3-9186-a759a86a2e83' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-08-15T00:22:30.001030683&#x27;, &#x27;2020-08-15T00:27:30.001019239&#x27;,\n",
-       "       &#x27;2020-08-15T00:32:30.001010656&#x27;, &#x27;2020-08-15T00:37:30.001015901&#x27;,\n",
-       "       &#x27;2020-08-15T00:42:30.001019954&#x27;, &#x27;2020-08-15T00:47:30.001018524&#x27;,\n",
-       "       &#x27;2020-08-15T00:52:30.001013994&#x27;, &#x27;2020-08-15T00:57:30.001026630&#x27;,\n",
-       "       &#x27;2020-08-15T01:02:30.001023769&#x27;, &#x27;2020-08-15T01:07:30.001024723&#x27;,\n",
-       "       &#x27;2020-08-15T01:12:30.001034259&#x27;, &#x27;2020-08-15T01:17:30.001035451&#x27;,\n",
-       "       &#x27;2020-08-15T01:22:30.001024961&#x27;, &#x27;2020-08-15T01:27:30.001025438&#x27;,\n",
-       "       &#x27;2020-08-15T01:32:30.001025676&#x27;, &#x27;2020-08-15T01:37:30.001031875&#x27;,\n",
-       "       &#x27;2020-08-15T01:42:30.001029014&#x27;, &#x27;2020-08-15T01:47:30.001030683&#x27;,\n",
-       "       &#x27;2020-08-15T01:52:30.001033067&#x27;, &#x27;2020-08-15T01:57:30.001029014&#x27;,\n",
-       "       &#x27;2020-08-15T02:02:30.001028299&#x27;, &#x27;2020-08-15T02:07:30.001020908&#x27;,\n",
-       "       &#x27;2020-08-15T02:12:30.001016378&#x27;, &#x27;2020-08-15T02:17:30.001012802&#x27;,\n",
-       "       &#x27;2020-08-15T02:22:30.001014709&#x27;, &#x27;2020-08-15T02:27:30.001018524&#x27;,\n",
-       "       &#x27;2020-08-15T02:32:30.001022577&#x27;, &#x27;2020-08-15T02:37:30.001020193&#x27;,\n",
-       "       &#x27;2020-08-15T02:42:30.001002311&#x27;, &#x27;2020-08-15T02:47:30.001003503&#x27;,\n",
-       "       &#x27;2020-08-15T02:52:30.001002550&#x27;, &#x27;2020-08-15T02:57:30.001000165&#x27;,\n",
-       "       &#x27;2020-08-15T03:02:30.001000642&#x27;, &#x27;2020-08-15T03:07:30.001000404&#x27;,\n",
-       "       &#x27;2020-08-15T03:12:30.000999450&#x27;, &#x27;2020-08-15T03:17:30.001003026&#x27;,\n",
-       "       &#x27;2020-08-15T03:22:30.001004695&#x27;, &#x27;2020-08-15T03:27:30.001004219&#x27;,\n",
-       "       &#x27;2020-08-15T03:32:30.001001834&#x27;, &#x27;2020-08-15T03:37:30.001005887&#x27;,\n",
-       "       &#x27;2020-08-15T03:42:30.001003742&#x27;, &#x27;2020-08-15T03:47:30.001000642&#x27;,\n",
-       "       &#x27;2020-08-15T03:52:30.001000404&#x27;, &#x27;2020-08-15T03:57:30.001001834&#x27;,\n",
-       "       &#x27;2020-08-15T04:02:30.001001834&#x27;, &#x27;2020-08-15T04:07:30.001001358&#x27;,\n",
-       "       &#x27;2020-08-15T04:12:30.001004695&#x27;, &#x27;2020-08-15T04:17:30.001001358&#x27;,\n",
-       "       &#x27;2020-08-15T04:22:30.001009464&#x27;, &#x27;2020-08-15T04:27:30.001006603&#x27;,\n",
-       "       &#x27;2020-08-15T04:32:30.001002550&#x27;, &#x27;2020-08-15T04:37:30.001004695&#x27;,\n",
-       "       &#x27;2020-08-15T04:42:30.001004934&#x27;, &#x27;2020-08-15T04:47:30.001004934&#x27;,\n",
-       "       &#x27;2020-08-15T04:52:30.001004457&#x27;, &#x27;2020-08-15T04:57:30.001002788&#x27;,\n",
-       "       &#x27;2020-08-15T05:02:30.001008749&#x27;, &#x27;2020-08-15T05:07:30.001017570&#x27;,\n",
-       "       &#x27;2020-08-15T05:12:30.001015186&#x27;, &#x27;2020-08-15T05:17:30.001005887&#x27;,\n",
-       "       &#x27;2020-08-15T05:22:30.001001358&#x27;, &#x27;2020-08-15T05:27:30.001011610&#x27;,\n",
-       "       &#x27;2020-08-15T05:32:30.001020431&#x27;, &#x27;2020-08-15T05:37:30.001011848&#x27;,\n",
-       "       &#x27;2020-08-15T05:42:30.001020908&#x27;, &#x27;2020-08-15T05:47:30.001013517&#x27;,\n",
-       "       &#x27;2020-08-15T05:52:30.001021146&#x27;, &#x27;2020-08-15T05:57:30.001010656&#x27;,\n",
-       "       &#x27;2020-08-15T06:02:30.001004219&#x27;, &#x27;2020-08-15T06:07:30.001012563&#x27;,\n",
-       "       &#x27;2020-08-15T06:12:30.001021862&#x27;, &#x27;2020-08-15T06:17:30.001018524&#x27;,\n",
-       "       &#x27;2020-08-15T06:22:30.001016139&#x27;, &#x27;2020-08-15T06:27:30.001016616&#x27;,\n",
-       "       &#x27;2020-08-15T06:32:30.001012325&#x27;, &#x27;2020-08-15T06:37:30.001016378&#x27;,\n",
-       "       &#x27;2020-08-15T06:42:30.001021862&#x27;, &#x27;2020-08-15T06:47:30.001023769&#x27;,\n",
-       "       &#x27;2020-08-15T06:52:30.001024007&#x27;, &#x27;2020-08-15T06:57:30.001014709&#x27;,\n",
-       "       &#x27;2020-08-15T07:02:30.001006126&#x27;, &#x27;2020-08-15T07:07:30.001019477&#x27;,\n",
-       "       &#x27;2020-08-15T07:12:30.001013994&#x27;, &#x27;2020-08-15T07:17:30.001016855&#x27;,\n",
-       "       &#x27;2020-08-15T07:22:30.001019239&#x27;, &#x27;2020-08-15T07:27:30.001024961&#x27;,\n",
-       "       &#x27;2020-08-15T07:32:30.001011610&#x27;, &#x27;2020-08-15T07:37:30.001024484&#x27;,\n",
-       "       &#x27;2020-08-15T07:42:30.001018524&#x27;, &#x27;2020-08-15T07:47:30.001029968&#x27;,\n",
-       "       &#x27;2020-08-15T07:52:30.001009464&#x27;, &#x27;2020-08-15T07:57:30.001014232&#x27;,\n",
-       "       &#x27;2020-08-15T08:02:30.001011610&#x27;, &#x27;2020-08-15T08:07:30.001028299&#x27;,\n",
-       "       &#x27;2020-08-15T08:12:30.001027107&#x27;, &#x27;2020-08-15T08:17:30.001024723&#x27;,\n",
-       "       &#x27;2020-08-15T08:22:30.001022577&#x27;, &#x27;2020-08-15T08:27:30.001018047&#x27;,\n",
-       "       &#x27;2020-08-15T08:32:30.001019477&#x27;, &#x27;2020-08-15T08:37:30.001017808&#x27;,\n",
-       "       &#x27;2020-08-15T08:42:30.001018762&#x27;, &#x27;2020-08-15T08:47:30.001015186&#x27;,\n",
-       "       &#x27;2020-08-15T08:52:30.001020431&#x27;, &#x27;2020-08-15T08:57:30.001026630&#x27;,\n",
-       "       &#x27;2020-08-15T09:02:30.001021146&#x27;, &#x27;2020-08-15T09:07:30.001016378&#x27;,\n",
-       "       &#x27;2020-08-15T09:12:30.001025676&#x27;, &#x27;2020-08-15T09:17:30.001024246&#x27;,\n",
-       "       &#x27;2020-08-15T09:22:30.001026630&#x27;, &#x27;2020-08-15T09:27:30.001017570&#x27;,\n",
-       "       &#x27;2020-08-15T09:32:30.001015901&#x27;, &#x27;2020-08-15T09:37:30.001016139&#x27;,\n",
-       "       &#x27;2020-08-15T09:42:30.001018762&#x27;, &#x27;2020-08-15T09:47:30.001014709&#x27;,\n",
-       "       &#x27;2020-08-15T09:52:30.001016378&#x27;, &#x27;2020-08-15T09:57:30.001024961&#x27;,\n",
-       "       &#x27;2020-08-15T10:02:30.001021146&#x27;, &#x27;2020-08-15T10:07:30.001022100&#x27;,\n",
-       "       &#x27;2020-08-15T10:12:30.001017808&#x27;, &#x27;2020-08-15T10:17:30.001013994&#x27;,\n",
-       "       &#x27;2020-08-15T10:22:30.001018762&#x27;, &#x27;2020-08-15T10:27:30.001021385&#x27;,\n",
-       "       &#x27;2020-08-15T10:32:30.001016855&#x27;, &#x27;2020-08-15T10:37:30.001021385&#x27;,\n",
-       "       &#x27;2020-08-15T10:42:30.001015186&#x27;, &#x27;2020-08-15T10:47:30.001020193&#x27;,\n",
-       "       &#x27;2020-08-15T10:52:30.001021623&#x27;, &#x27;2020-08-15T10:57:30.001021862&#x27;,\n",
-       "       &#x27;2020-08-15T11:02:30.001018047&#x27;, &#x27;2020-08-15T11:07:30.001021146&#x27;,\n",
-       "       &#x27;2020-08-15T11:12:30.001011848&#x27;, &#x27;2020-08-15T11:17:30.001015901&#x27;,\n",
-       "       &#x27;2020-08-15T11:22:30.001014232&#x27;, &#x27;2020-08-15T11:27:30.001015663&#x27;,\n",
-       "       &#x27;2020-08-15T11:32:30.001012325&#x27;, &#x27;2020-08-15T11:37:30.001004457&#x27;,\n",
-       "       &#x27;2020-08-15T11:42:30.001018524&#x27;, &#x27;2020-08-15T11:47:30.001023292&#x27;,\n",
-       "       &#x27;2020-08-15T11:52:30.001009464&#x27;, &#x27;2020-08-15T11:57:30.001002311&#x27;,\n",
-       "       &#x27;2020-08-15T12:02:30.001004695&#x27;, &#x27;2020-08-15T12:07:30.001007556&#x27;,\n",
-       "       &#x27;2020-08-15T12:12:30.001012086&#x27;, &#x27;2020-08-15T12:17:30.001007080&#x27;,\n",
-       "       &#x27;2020-08-15T12:22:30.001011371&#x27;, &#x27;2020-08-15T12:27:30.001014471&#x27;,\n",
-       "       &#x27;2020-08-15T12:32:30.001016378&#x27;, &#x27;2020-08-15T12:37:30.001012563&#x27;,\n",
-       "       &#x27;2020-08-15T12:42:30.001015901&#x27;, &#x27;2020-08-15T12:47:30.001010417&#x27;,\n",
-       "       &#x27;2020-08-15T12:52:30.001009464&#x27;, &#x27;2020-08-15T12:57:30.001010894&#x27;,\n",
-       "       &#x27;2020-08-15T13:02:30.001016855&#x27;, &#x27;2020-08-15T13:07:30.001020908&#x27;,\n",
-       "       &#x27;2020-08-15T13:12:30.001018762&#x27;, &#x27;2020-08-15T13:17:30.001018762&#x27;,\n",
-       "       &#x27;2020-08-15T13:22:30.001018047&#x27;, &#x27;2020-08-15T13:27:30.001013517&#x27;,\n",
-       "       &#x27;2020-08-15T13:32:30.001015424&#x27;, &#x27;2020-08-15T13:37:30.001009225&#x27;,\n",
-       "       &#x27;2020-08-15T13:42:30.001011133&#x27;, &#x27;2020-08-15T13:47:30.001008749&#x27;,\n",
-       "       &#x27;2020-08-15T13:52:30.001019477&#x27;, &#x27;2020-08-15T13:57:30.001022338&#x27;,\n",
-       "       &#x27;2020-08-15T14:02:30.001019716&#x27;, &#x27;2020-08-15T14:07:30.001026868&#x27;,\n",
-       "       &#x27;2020-08-15T14:12:30.001021623&#x27;, &#x27;2020-08-15T14:17:30.001034021&#x27;,\n",
-       "       &#x27;2020-08-15T14:22:30.001024961&#x27;, &#x27;2020-08-15T14:27:30.001032352&#x27;,\n",
-       "       &#x27;2020-08-15T14:32:30.001023292&#x27;, &#x27;2020-08-15T14:37:30.001024484&#x27;,\n",
-       "       &#x27;2020-08-15T14:42:30.001044034&#x27;, &#x27;2020-08-15T14:47:30.001032352&#x27;,\n",
-       "       &#x27;2020-08-15T14:52:30.001019239&#x27;, &#x27;2020-08-15T14:57:30.001032829&#x27;,\n",
-       "       &#x27;2020-08-15T15:02:30.001021146&#x27;, &#x27;2020-08-15T15:07:30.001027345&#x27;,\n",
-       "       &#x27;2020-08-15T15:12:30.001029014&#x27;, &#x27;2020-08-15T15:17:30.001026630&#x27;,\n",
-       "       &#x27;2020-08-15T15:22:30.001026153&#x27;, &#x27;2020-08-15T15:27:30.001022577&#x27;,\n",
-       "       &#x27;2020-08-15T15:32:30.001030683&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dirIMU</span></div><div class='xr-var-dims'>(dirIMU)</div><div class='xr-var-dtype'>&lt;U10</div><div class='xr-var-preview xr-preview'>&#x27;streamwise&#x27; &#x27;x-stream&#x27; &#x27;vert&#x27;</div><input id='attrs-ee9453dd-0e1f-4609-800f-b7785def0997' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ee9453dd-0e1f-4609-800f-b7785def0997' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e987dc0-2769-47d7-9980-0cffd6452fb4' class='xr-var-data-in' type='checkbox'><label for='data-7e987dc0-2769-47d7-9980-0cffd6452fb4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;streamwise&#x27;, &#x27;x-stream&#x27;, &#x27;vert&#x27;], dtype=&#x27;&lt;U10&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dir</span></div><div class='xr-var-dims'>(dir)</div><div class='xr-var-dtype'>&lt;U10</div><div class='xr-var-preview xr-preview'>&#x27;streamwise&#x27; &#x27;x-stream&#x27; ... &#x27;vert2&#x27;</div><input id='attrs-823e073a-d75c-463c-a4df-34580897ee81' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-823e073a-d75c-463c-a4df-34580897ee81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aab03f98-74f0-4e0d-adac-6d2c5c9837ed' class='xr-var-data-in' type='checkbox'><label for='data-aab03f98-74f0-4e0d-adac-6d2c5c9837ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;streamwise&#x27;, &#x27;x-stream&#x27;, &#x27;vert1&#x27;, &#x27;vert2&#x27;], dtype=&#x27;&lt;U10&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2 1.7 2.2 2.7 ... 13.7 14.2 14.7</div><input id='attrs-9e796c46-5807-46ff-bcee-dd007ae9a509' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9e796c46-5807-46ff-bcee-dd007ae9a509' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88900068-2151-4243-8ce7-50c91e53ffcf' class='xr-var-data-in' type='checkbox'><label for='data-88900068-2151-4243-8ce7-50c91e53ffcf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1.2,  1.7,  2.2,  2.7,  3.2,  3.7,  4.2,  4.7,  5.2,  5.7,  6.2,  6.7,\n",
-       "        7.2,  7.7,  8.2,  8.7,  9.2,  9.7, 10.2, 10.7, 11.2, 11.7, 12.2, 12.7,\n",
-       "       13.2, 13.7, 14.2, 14.7])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beam</span></div><div class='xr-var-dims'>(beam)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-129a6633-70c5-4877-971e-cbae6aef4cd1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-129a6633-70c5-4877-971e-cbae6aef4cd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-274de313-22c3-46a9-89be-05e30df2f539' class='xr-var-data-in' type='checkbox'><label for='data-274de313-22c3-46a9-89be-05e30df2f539' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>earth</span></div><div class='xr-var-dims'>(earth)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;</div><input id='attrs-07471bd2-3fff-4550-ab2c-3f3f935b6b8c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-07471bd2-3fff-4550-ab2c-3f3f935b6b8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ea841b9-c6fd-4485-ade0-d809c64b4430' class='xr-var-data-in' type='checkbox'><label for='data-6ea841b9-c6fd-4485-ade0-d809c64b4430' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>inst</span></div><div class='xr-var-dims'>(inst)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;X&#x27; &#x27;Y&#x27; &#x27;Z&#x27;</div><input id='attrs-41aafcf3-92b7-41ed-91fe-e8fd7e853019' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-41aafcf3-92b7-41ed-91fe-e8fd7e853019' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c331539-ea72-4303-9589-b1a9a3d1b226' class='xr-var-data-in' type='checkbox'><label for='data-8c331539-ea72-4303-9589-b1a9a3d1b226' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;X&#x27;, &#x27;Y&#x27;, &#x27;Z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>q</span></div><div class='xr-var-dims'>(q)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;w&#x27; &#x27;x&#x27; &#x27;y&#x27; &#x27;z&#x27;</div><input id='attrs-96ef30a6-3706-45d0-b9ff-4bcc47822f51' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-96ef30a6-3706-45d0-b9ff-4bcc47822f51' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f00da1e9-f04e-4fc0-b8c7-58f069ddffbb' class='xr-var-data-in' type='checkbox'><label for='data-f00da1e9-f04e-4fc0-b8c7-58f069ddffbb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;w&#x27;, &#x27;x&#x27;, &#x27;y&#x27;, &#x27;z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-08-15T00:22:29.938495159 .....</div><input id='attrs-ae39105f-724b-4ffb-ad5e-72022d2c834a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ae39105f-724b-4ffb-ad5e-72022d2c834a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67133c30-1d3c-442b-b10a-a21e9ef43c2f' class='xr-var-data-in' type='checkbox'><label for='data-67133c30-1d3c-442b-b10a-a21e9ef43c2f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-08-15T00:22:29.938495159&#x27;, &#x27;2020-08-15T00:27:29.938490867&#x27;,\n",
-       "       &#x27;2020-08-15T00:32:29.938487529&#x27;, &#x27;2020-08-15T00:37:29.938496828&#x27;,\n",
-       "       &#x27;2020-08-15T00:42:29.938495397&#x27;, &#x27;2020-08-15T00:47:29.938496589&#x27;,\n",
-       "       &#x27;2020-08-15T00:52:29.938497781&#x27;, &#x27;2020-08-15T00:57:29.938495397&#x27;,\n",
-       "       &#x27;2020-08-15T01:02:29.938493013&#x27;, &#x27;2020-08-15T01:07:29.938492536&#x27;,\n",
-       "       &#x27;2020-08-15T01:12:29.938490867&#x27;, &#x27;2020-08-15T01:17:29.938497781&#x27;,\n",
-       "       &#x27;2020-08-15T01:22:29.938496112&#x27;, &#x27;2020-08-15T01:27:29.938498497&#x27;,\n",
-       "       &#x27;2020-08-15T01:32:29.938496589&#x27;, &#x27;2020-08-15T01:37:29.938497781&#x27;,\n",
-       "       &#x27;2020-08-15T01:42:29.938495635&#x27;, &#x27;2020-08-15T01:47:29.938497066&#x27;,\n",
-       "       &#x27;2020-08-15T01:52:29.938498735&#x27;, &#x27;2020-08-15T01:57:29.938496112&#x27;,\n",
-       "       &#x27;2020-08-15T02:02:29.938496589&#x27;, &#x27;2020-08-15T02:07:29.938494920&#x27;,\n",
-       "       &#x27;2020-08-15T02:12:29.938497304&#x27;, &#x27;2020-08-15T02:17:29.938496828&#x27;,\n",
-       "       &#x27;2020-08-15T02:22:29.938496112&#x27;, &#x27;2020-08-15T02:27:29.938496828&#x27;,\n",
-       "       &#x27;2020-08-15T02:32:29.938496112&#x27;, &#x27;2020-08-15T02:37:29.938497304&#x27;,\n",
-       "       &#x27;2020-08-15T02:42:29.938495159&#x27;, &#x27;2020-08-15T02:47:29.938495635&#x27;,\n",
-       "       &#x27;2020-08-15T02:52:29.938490867&#x27;, &#x27;2020-08-15T02:57:29.938492059&#x27;,\n",
-       "       &#x27;2020-08-15T03:02:29.938489675&#x27;, &#x27;2020-08-15T03:07:29.938488245&#x27;,\n",
-       "       &#x27;2020-08-15T03:12:29.938485622&#x27;, &#x27;2020-08-15T03:17:29.938485622&#x27;,\n",
-       "       &#x27;2020-08-15T03:22:29.938488245&#x27;, &#x27;2020-08-15T03:27:29.938485145&#x27;,\n",
-       "       &#x27;2020-08-15T03:32:29.938486099&#x27;, &#x27;2020-08-15T03:37:29.938482046&#x27;,\n",
-       "       &#x27;2020-08-15T03:42:29.938489437&#x27;, &#x27;2020-08-15T03:47:29.938489437&#x27;,\n",
-       "       &#x27;2020-08-15T03:52:29.938485860&#x27;, &#x27;2020-08-15T03:57:29.938491582&#x27;,\n",
-       "       &#x27;2020-08-15T04:02:29.938488006&#x27;, &#x27;2020-08-15T04:07:29.938491106&#x27;,\n",
-       "       &#x27;2020-08-15T04:12:29.938492059&#x27;, &#x27;2020-08-15T04:17:29.938487052&#x27;,\n",
-       "       &#x27;2020-08-15T04:22:29.938489675&#x27;, &#x27;2020-08-15T04:27:29.938491582&#x27;,\n",
-       "       &#x27;2020-08-15T04:32:29.938491106&#x27;, &#x27;2020-08-15T04:37:29.938493251&#x27;,\n",
-       "       &#x27;2020-08-15T04:42:29.938489675&#x27;, &#x27;2020-08-15T04:47:29.938492059&#x27;,\n",
-       "       &#x27;2020-08-15T04:52:29.938491582&#x27;, &#x27;2020-08-15T04:57:29.938495397&#x27;,\n",
-       "       &#x27;2020-08-15T05:02:29.938491106&#x27;, &#x27;2020-08-15T05:07:29.938499212&#x27;,\n",
-       "       &#x27;2020-08-15T05:12:29.938491821&#x27;, &#x27;2020-08-15T05:17:29.938493490&#x27;,\n",
-       "       &#x27;2020-08-15T05:22:29.938495397&#x27;, &#x27;2020-08-15T05:27:29.938490390&#x27;,\n",
-       "       &#x27;2020-08-15T05:32:29.938493967&#x27;, &#x27;2020-08-15T05:37:29.938493728&#x27;,\n",
-       "       &#x27;2020-08-15T05:42:29.938491582&#x27;, &#x27;2020-08-15T05:47:29.938493013&#x27;,\n",
-       "       &#x27;2020-08-15T05:52:29.938495159&#x27;, &#x27;2020-08-15T05:57:29.938494920&#x27;,\n",
-       "       &#x27;2020-08-15T06:02:29.938493013&#x27;, &#x27;2020-08-15T06:07:29.938496589&#x27;,\n",
-       "       &#x27;2020-08-15T06:12:29.938494920&#x27;, &#x27;2020-08-15T06:17:29.938495397&#x27;,\n",
-       "       &#x27;2020-08-15T06:22:29.938493728&#x27;, &#x27;2020-08-15T06:27:29.938495397&#x27;,\n",
-       "       &#x27;2020-08-15T06:32:29.938492536&#x27;, &#x27;2020-08-15T06:37:29.938495159&#x27;,\n",
-       "       &#x27;2020-08-15T06:42:29.938496112&#x27;, &#x27;2020-08-15T06:47:29.938497304&#x27;,\n",
-       "       &#x27;2020-08-15T06:52:29.938496112&#x27;, &#x27;2020-08-15T06:57:29.938493728&#x27;,\n",
-       "       &#x27;2020-08-15T07:02:29.938497304&#x27;, &#x27;2020-08-15T07:07:29.938494920&#x27;,\n",
-       "       &#x27;2020-08-15T07:12:29.938492059&#x27;, &#x27;2020-08-15T07:17:29.938493490&#x27;,\n",
-       "       &#x27;2020-08-15T07:22:29.938493967&#x27;, &#x27;2020-08-15T07:27:29.938497304&#x27;,\n",
-       "       &#x27;2020-08-15T07:32:29.938494443&#x27;, &#x27;2020-08-15T07:37:29.938494920&#x27;,\n",
-       "       &#x27;2020-08-15T07:42:29.938495635&#x27;, &#x27;2020-08-15T07:47:29.938493967&#x27;,\n",
-       "       &#x27;2020-08-15T07:52:29.938492298&#x27;, &#x27;2020-08-15T07:57:29.938489675&#x27;,\n",
-       "       &#x27;2020-08-15T08:02:29.938493013&#x27;, &#x27;2020-08-15T08:07:29.938493728&#x27;,\n",
-       "       &#x27;2020-08-15T08:12:29.938497066&#x27;, &#x27;2020-08-15T08:17:29.938497781&#x27;,\n",
-       "       &#x27;2020-08-15T08:22:29.938495159&#x27;, &#x27;2020-08-15T08:27:29.938492774&#x27;,\n",
-       "       &#x27;2020-08-15T08:32:29.938495397&#x27;, &#x27;2020-08-15T08:37:29.938494920&#x27;,\n",
-       "       &#x27;2020-08-15T08:42:29.938494920&#x27;, &#x27;2020-08-15T08:47:29.938494682&#x27;,\n",
-       "       &#x27;2020-08-15T08:52:29.938494443&#x27;, &#x27;2020-08-15T08:57:29.938491821&#x27;,\n",
-       "       &#x27;2020-08-15T09:02:29.938497066&#x27;, &#x27;2020-08-15T09:07:29.938495397&#x27;,\n",
-       "       &#x27;2020-08-15T09:12:29.938495397&#x27;, &#x27;2020-08-15T09:17:29.938494920&#x27;,\n",
-       "       &#x27;2020-08-15T09:22:29.938498020&#x27;, &#x27;2020-08-15T09:27:29.938495397&#x27;,\n",
-       "       &#x27;2020-08-15T09:32:29.938495159&#x27;, &#x27;2020-08-15T09:37:29.938498735&#x27;,\n",
-       "       &#x27;2020-08-15T09:42:29.938493728&#x27;, &#x27;2020-08-15T09:47:29.938495635&#x27;,\n",
-       "       &#x27;2020-08-15T09:52:29.938500642&#x27;, &#x27;2020-08-15T09:57:29.938496589&#x27;,\n",
-       "       &#x27;2020-08-15T10:02:29.938497781&#x27;, &#x27;2020-08-15T10:07:29.938500881&#x27;,\n",
-       "       &#x27;2020-08-15T10:12:29.938504457&#x27;, &#x27;2020-08-15T10:17:29.938501358&#x27;,\n",
-       "       &#x27;2020-08-15T10:22:29.938507556&#x27;, &#x27;2020-08-15T10:27:29.938496112&#x27;,\n",
-       "       &#x27;2020-08-15T10:32:29.938495635&#x27;, &#x27;2020-08-15T10:37:29.938500165&#x27;,\n",
-       "       &#x27;2020-08-15T10:42:29.938496112&#x27;, &#x27;2020-08-15T10:47:29.938493251&#x27;,\n",
-       "       &#x27;2020-08-15T10:52:29.938493728&#x27;, &#x27;2020-08-15T10:57:29.938492536&#x27;,\n",
-       "       &#x27;2020-08-15T11:02:29.938492774&#x27;, &#x27;2020-08-15T11:07:29.938492774&#x27;,\n",
-       "       &#x27;2020-08-15T11:12:29.938493967&#x27;, &#x27;2020-08-15T11:17:29.938494443&#x27;,\n",
-       "       &#x27;2020-08-15T11:22:29.938496589&#x27;, &#x27;2020-08-15T11:27:29.938496112&#x27;,\n",
-       "       &#x27;2020-08-15T11:32:29.938495397&#x27;, &#x27;2020-08-15T11:37:29.938493967&#x27;,\n",
-       "       &#x27;2020-08-15T11:42:29.938493013&#x27;, &#x27;2020-08-15T11:47:29.938495635&#x27;,\n",
-       "       &#x27;2020-08-15T11:52:29.938493967&#x27;, &#x27;2020-08-15T11:57:29.938498735&#x27;,\n",
-       "       &#x27;2020-08-15T12:02:29.938496589&#x27;, &#x27;2020-08-15T12:07:29.938498020&#x27;,\n",
-       "       &#x27;2020-08-15T12:12:29.938494443&#x27;, &#x27;2020-08-15T12:17:29.938495159&#x27;,\n",
-       "       &#x27;2020-08-15T12:22:29.938495635&#x27;, &#x27;2020-08-15T12:27:29.938497066&#x27;,\n",
-       "       &#x27;2020-08-15T12:32:29.938493967&#x27;, &#x27;2020-08-15T12:37:29.938495635&#x27;,\n",
-       "       &#x27;2020-08-15T12:42:29.938496112&#x27;, &#x27;2020-08-15T12:47:29.938495635&#x27;,\n",
-       "       &#x27;2020-08-15T12:52:29.938494443&#x27;, &#x27;2020-08-15T12:57:29.938496589&#x27;,\n",
-       "       &#x27;2020-08-15T13:02:29.938494205&#x27;, &#x27;2020-08-15T13:07:29.938494205&#x27;,\n",
-       "       &#x27;2020-08-15T13:12:29.938492536&#x27;, &#x27;2020-08-15T13:17:29.938495397&#x27;,\n",
-       "       &#x27;2020-08-15T13:22:29.938493251&#x27;, &#x27;2020-08-15T13:27:29.938495397&#x27;,\n",
-       "       &#x27;2020-08-15T13:32:29.938494920&#x27;, &#x27;2020-08-15T13:37:29.938497066&#x27;,\n",
-       "       &#x27;2020-08-15T13:42:29.938497304&#x27;, &#x27;2020-08-15T13:47:29.938494920&#x27;,\n",
-       "       &#x27;2020-08-15T13:52:29.938493490&#x27;, &#x27;2020-08-15T13:57:29.938492774&#x27;,\n",
-       "       &#x27;2020-08-15T14:02:29.938496112&#x27;, &#x27;2020-08-15T14:07:29.938489675&#x27;,\n",
-       "       &#x27;2020-08-15T14:12:29.938489913&#x27;, &#x27;2020-08-15T14:17:29.938494443&#x27;,\n",
-       "       &#x27;2020-08-15T14:22:29.938495397&#x27;, &#x27;2020-08-15T14:27:29.938492774&#x27;,\n",
-       "       &#x27;2020-08-15T14:32:29.938491582&#x27;, &#x27;2020-08-15T14:37:29.938493251&#x27;,\n",
-       "       &#x27;2020-08-15T14:42:29.938492536&#x27;, &#x27;2020-08-15T14:47:29.938492774&#x27;,\n",
-       "       &#x27;2020-08-15T14:52:29.938491106&#x27;, &#x27;2020-08-15T14:57:29.938495635&#x27;,\n",
-       "       &#x27;2020-08-15T15:02:29.938493013&#x27;, &#x27;2020-08-15T15:07:29.938493967&#x27;,\n",
-       "       &#x27;2020-08-15T15:12:29.938494920&#x27;, &#x27;2020-08-15T15:17:29.938493251&#x27;,\n",
-       "       &#x27;2020-08-15T15:22:29.938486099&#x27;, &#x27;2020-08-15T15:27:29.938484191&#x27;,\n",
-       "       &#x27;2020-08-15T15:32:29.938490390&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range_b5</span></div><div class='xr-var-dims'>(range_b5)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2 1.7 2.2 2.7 ... 13.7 14.2 14.7</div><input id='attrs-f53e9720-6d63-4f51-8a7a-f8bf4ed3af70' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f53e9720-6d63-4f51-8a7a-f8bf4ed3af70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7e9300c-f075-4671-b07c-6ee5e31d03ca' class='xr-var-data-in' type='checkbox'><label for='data-b7e9300c-f075-4671-b07c-6ee5e31d03ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1.2,  1.7,  2.2,  2.7,  3.2,  3.7,  4.2,  4.7,  5.2,  5.7,  6.2,  6.7,\n",
-       "        7.2,  7.7,  8.2,  8.7,  9.2,  9.7, 10.2, 10.7, 11.2, 11.7, 12.2, 12.7,\n",
-       "       13.2, 13.7, 14.2, 14.7])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b67361b7-a489-4710-b7cb-1eaa91d2b631' class='xr-section-summary-in' type='checkbox'  ><label for='section-b67361b7-a489-4710-b7cb-1eaa91d2b631' class='xr-section-summary' >Data variables: <span>(38)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>c_sound</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.502e+03 1.502e+03 ... 1.498e+03</div><input id='attrs-63952b1d-c12b-4529-9de6-757bb7fc4022' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63952b1d-c12b-4529-9de6-757bb7fc4022' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b9837e3-8b6d-4623-b540-df60aaa29fd6' class='xr-var-data-in' type='checkbox'><label for='data-6b9837e3-8b6d-4623-b540-df60aaa29fd6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Speed of Sound</dd><dt><span>standard_name :</span></dt><dd>speed_of_sound_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([1501.6843, 1502.032 , 1501.8505, 1501.5714, 1501.8607, 1502.4133,\n",
-       "       1502.8121, 1502.7344, 1502.8704, 1502.9467, 1502.883 , 1502.7606,\n",
-       "       1502.6915, 1502.8214, 1502.8864, 1502.7937, 1502.6268, 1502.6473,\n",
-       "       1502.4198, 1502.3577, 1501.9543, 1501.729 , 1501.32  , 1500.9684,\n",
-       "       1500.6763, 1500.2716, 1500.1096, 1499.8009, 1499.5637, 1499.3373,\n",
-       "       1499.2163, 1499.0955, 1498.9806, 1498.8579, 1498.7637, 1498.6821,\n",
-       "       1498.6133, 1498.5066, 1498.5637, 1498.7421, 1498.8367, 1498.984 ,\n",
-       "       1498.9717, 1498.9644, 1499.0553, 1499.21  , 1499.2789, 1499.2766,\n",
-       "       1499.265 , 1499.2623, 1499.3181, 1499.2903, 1499.3444, 1499.2922,\n",
-       "       1499.2983, 1499.195 , 1499.2087, 1499.212 , 1499.2494, 1499.2227,\n",
-       "       1499.1742, 1499.1772, 1499.1937, 1499.2306, 1499.2719, 1499.3043,\n",
-       "       1499.4073, 1499.3677, 1499.4554, 1499.5647, 1499.6683, 1499.7489,\n",
-       "       1499.8341, 1499.8446, 1499.8396, 1499.9257, 1499.781 , 1499.8274,\n",
-       "       1499.7506, 1499.8904, 1499.7473, 1499.7411, 1499.7415, 1499.7079,\n",
-       "       1499.508 , 1499.7562, 1499.5327, 1499.4186, 1499.4877, 1499.1946,\n",
-       "       1499.1821, 1499.466 , 1499.5144, 1499.7024, 1499.8877, 1499.8373,\n",
-       "       1499.8597, 1500.1703, 1500.0886, 1500.082 , 1500.0476, 1499.9003,\n",
-       "       1499.8434, 1498.8927, 1497.6433, 1496.299 , 1495.386 , 1495.2273,\n",
-       "       1494.9376, 1494.7117, 1494.9341, 1495.1063, 1495.0103, 1494.7747,\n",
-       "       1494.5977, 1494.4548, 1494.4042, 1494.3356, 1494.229 , 1494.0669,\n",
-       "       1493.7662, 1493.4755, 1493.3303, 1493.1544, 1492.8477, 1492.7877,\n",
-       "       1492.8064, 1493.0189, 1493.5558, 1494.0146, 1494.7506, 1495.2681,\n",
-       "       1496.2244, 1496.8036, 1497.5472, 1498.0507, 1498.3839, 1498.663 ,\n",
-       "       1498.8971, 1499.136 , 1499.3384, 1499.535 , 1499.5739, 1499.5245,\n",
-       "       1499.4437, 1499.4467, 1499.5509, 1499.6014, 1499.5997, 1499.5935,\n",
-       "       1499.525 , 1499.4967, 1499.4364, 1499.4977, 1499.503 , 1499.5526,\n",
-       "       1499.5083, 1499.5023, 1499.474 , 1499.4028, 1499.436 , 1499.4973,\n",
-       "       1499.5286, 1499.5846, 1499.6293, 1499.6262, 1499.6666, 1499.6971,\n",
-       "       1499.6998, 1499.7269, 1499.7843, 1499.6895, 1499.7037, 1499.6376,\n",
-       "       1499.4894, 1499.0636, 1499.0073, 1498.8967, 1498.8627, 1498.961 ,\n",
-       "       1498.8287, 1498.6285, 1498.472 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>14.49 14.59 14.54 ... 13.56 13.5</div><input id='attrs-95a9e011-df19-4e04-a3e8-3b06c28ec021' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95a9e011-df19-4e04-a3e8-3b06c28ec021' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6c6987d-f6a0-48a7-96cc-2f19ae146351' class='xr-var-data-in' type='checkbox'><label for='data-e6c6987d-f6a0-48a7-96cc-2f19ae146351' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd></dl></div><div class='xr-var-data'><pre>array([14.4871   , 14.592732 , 14.5369   , 14.450967 , 14.540566 ,\n",
-       "       14.712167 , 14.838034 , 14.812099 , 14.855833 , 14.879432 ,\n",
-       "       14.860366 , 14.821934 , 14.799266 , 14.840433 , 14.8621   ,\n",
-       "       14.833766 , 14.782434 , 14.788966 , 14.716966 , 14.695799 ,\n",
-       "       14.572268 , 14.502767 , 14.376032 , 14.268402 , 14.178566 ,\n",
-       "       14.055    , 14.005532 , 13.911533 , 13.838566 , 13.7688675,\n",
-       "       13.7339325, 13.696598 , 13.661633 , 13.626367 , 13.597433 ,\n",
-       "       13.572568 , 13.552067 , 13.520534 , 13.538133 , 13.592899 ,\n",
-       "       13.620734 , 13.665668 , 13.661699 , 13.658334 , 13.686766 ,\n",
-       "       13.7354   , 13.754033 , 13.754901 , 13.7525   , 13.751934 ,\n",
-       "       13.767399 , 13.760633 , 13.776802 , 13.761433 , 13.7625   ,\n",
-       "       13.731066 , 13.7371   , 13.737367 , 13.748701 , 13.741634 ,\n",
-       "       13.726335 , 13.726666 , 13.7323   , 13.743701 , 13.756766 ,\n",
-       "       13.766968 , 13.797334 , 13.7852   , 13.812601 , 13.847366 ,\n",
-       "       13.878734 , 13.903067 , 13.928333 , 13.931099 , 13.930567 ,\n",
-       "       13.957533 , 13.912533 , 13.9264   , 13.9032   , 13.947433 ,\n",
-       "       13.902601 , 13.900833 , 13.900665 , 13.890833 , 13.830032 ,\n",
-       "       13.9046335, 13.8364   , 13.801933 , 13.8241   , 13.735    ,\n",
-       "       13.732666 , 13.818233 , 13.8298   , 13.888301 , 13.944167 ,\n",
-       "       13.928867 , 13.9361   , 14.0331   , 14.008999 , 14.006901 ,\n",
-       "       13.992832 , 13.946533 , 13.9282   , 13.643267 , 13.266466 ,\n",
-       "       12.865967 , 12.595367 , 12.5469   , 12.462267 , 12.3959   ,\n",
-       "       12.461133 , 12.512366 , 12.482166 , 12.411167 , 12.3605995,\n",
-       "       12.3201   , 12.303568 , 12.284267 , 12.252732 , 12.203699 ,\n",
-       "       12.118533 , 12.031001 , 11.988433 , 11.939434 , 11.8505   ,\n",
-       "       11.8341   , 11.837234 , 11.8984995, 12.0561   , 12.189    ,\n",
-       "       12.403767 , 12.5546   , 12.837867 , 13.010934 , 13.233933 ,\n",
-       "       13.384068 , 13.485199 , 13.565999 , 13.639567 , 13.711732 ,\n",
-       "       13.774034 , 13.829665 , 13.838365 , 13.829668 , 13.8013   ,\n",
-       "       13.805167 , 13.833833 , 13.855499 , 13.857698 , 13.844232 ,\n",
-       "       13.831333 , 13.816167 , 13.802168 , 13.811266 , 13.820599 ,\n",
-       "       13.834399 , 13.828466 , 13.826566 , 13.810034 , 13.792601 ,\n",
-       "       13.800402 , 13.820232 , 13.830032 , 13.8446665, 13.8607   ,\n",
-       "       13.860667 , 13.870465 , 13.876833 , 13.878232 , 13.884268 ,\n",
-       "       13.907367 , 13.875599 , 13.875534 , 13.861733 , 13.8139   ,\n",
-       "       13.689401 , 13.665034 , 13.632333 , 13.6227665, 13.651935 ,\n",
-       "       13.6164665, 13.5551   , 13.503766 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.712 9.699 9.685 ... 9.584 9.591</div><input id='attrs-3afeb9ef-5d73-4f4c-b904-34b07796c1de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3afeb9ef-5d73-4f4c-b904-34b07796c1de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30163c0a-6f68-479b-b273-e60ae4eaa390' class='xr-var-data-in' type='checkbox'><label for='data-30163c0a-6f68-479b-b273-e60ae4eaa390' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dbar</dd><dt><span>long_name :</span></dt><dd>Pressure</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd></dl></div><div class='xr-var-data'><pre>array([9.712007 , 9.699074 , 9.685317 , 9.670219 , 9.65324  , 9.640334 ,\n",
-       "       9.62429  , 9.608537 , 9.594397 , 9.576526 , 9.56048  , 9.541069 ,\n",
-       "       9.524289 , 9.505187 , 9.486143 , 9.464264 , 9.44223  , 9.416344 ,\n",
-       "       9.393453 , 9.367396 , 9.339387 , 9.305754 , 9.278394 , 9.245257 ,\n",
-       "       9.218047 , 9.186557 , 9.157551 , 9.123754 , 9.09348  , 9.059697 ,\n",
-       "       9.026804 , 8.994499 , 8.95571  , 8.92198  , 8.886473 , 8.853367 ,\n",
-       "       8.813594 , 8.782229 , 8.74448  , 8.708926 , 8.674907 , 8.637604 ,\n",
-       "       8.602573 , 8.560874 , 8.524677 , 8.48187  , 8.4449835, 8.400766 ,\n",
-       "       8.365373 , 8.322662 , 8.28713  , 8.248011 , 8.21333  , 8.178404 ,\n",
-       "       8.14623  , 8.109827 , 8.072543 , 8.039574 , 7.9980125, 7.963136 ,\n",
-       "       7.926347 , 7.8918767, 7.8531103, 7.824253 , 7.7964296, 7.7649107,\n",
-       "       7.7383432, 7.7130632, 7.6841335, 7.65858  , 7.633538 , 7.609003 ,\n",
-       "       7.592057 , 7.573613 , 7.5537395, 7.533187 , 7.5146875, 7.497063 ,\n",
-       "       7.48256  , 7.472039 , 7.454433 , 7.4437304, 7.4306965, 7.422947 ,\n",
-       "       7.4138427, 7.4127507, 7.407543 , 7.4021435, 7.40189  , 7.4006333,\n",
-       "       7.401152 , 7.3961263, 7.4010367, 7.4031525, 7.414211 , 7.4199567,\n",
-       "       7.4243903, 7.4346695, 7.4523306, 7.4677606, 7.47785  , 7.4955306,\n",
-       "       7.507134 , 7.52034  , 7.540297 , 7.5592594, 7.583973 , 7.6029363,\n",
-       "       7.623276 , 7.6508303, 7.67267  , 7.6968994, 7.7202635, 7.7465167,\n",
-       "       7.7706933, 7.795326 , 7.820833 , 7.8509097, 7.8781033, 7.9117236,\n",
-       "       7.9442267, 7.9752865, 8.007596 , 8.042522 , 8.077546 , 8.108029 ,\n",
-       "       8.1417265, 8.17497  , 8.210143 , 8.243827 , 8.281553 , 8.317181 ,\n",
-       "       8.35565  , 8.390187 , 8.42794  , 8.465797 , 8.50642  , 8.54146  ,\n",
-       "       8.581511 , 8.618688 , 8.65223  , 8.69048  , 8.72701  , 8.758973 ,\n",
-       "       8.795943 , 8.832204 , 8.870703 , 8.8993225, 8.936847 , 8.969017 ,\n",
-       "       9.001257 , 9.036253 , 9.063161 , 9.095617 , 9.1287565, 9.157017 ,\n",
-       "       9.187741 , 9.216694 , 9.244237 , 9.274386 , 9.300383 , 9.32181  ,\n",
-       "       9.35049  , 9.37106  , 9.393917 , 9.40948  , 9.428807 , 9.441616 ,\n",
-       "       9.459889 , 9.474596 , 9.488944 , 9.495657 , 9.510249 , 9.520061 ,\n",
-       "       9.530423 , 9.537613 , 9.546494 , 9.554764 , 9.561024 , 9.57158  ,\n",
-       "       9.579874 , 9.583782 , 9.591404 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mag</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.534 3.565 3.547 ... -197.1 -197.1</div><input id='attrs-2fb56565-ef29-4887-835e-41ad0b301dd4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2fb56565-ef29-4887-835e-41ad0b301dd4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9195dd1f-c8d4-46c5-b7db-5eb6171eac67' class='xr-var-data-in' type='checkbox'><label for='data-9195dd1f-c8d4-46c5-b7db-5eb6171eac67' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>uT</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Compass</dd></dl></div><div class='xr-var-data'><pre>array([[ 3.53383756e+00,  3.56493616e+00,  3.54652500e+00,\n",
-       "         3.60746217e+00,  3.56795740e+00,  3.58543777e+00,\n",
-       "         3.56357908e+00,  3.57667398e+00,  3.60632110e+00,\n",
-       "         3.56949067e+00,  3.57479167e+00,  3.59876704e+00,\n",
-       "         3.60281253e+00,  3.59981132e+00,  3.59064198e+00,\n",
-       "         3.59985065e+00,  3.58579111e+00,  3.57373047e+00,\n",
-       "         3.56544852e+00,  3.58114982e+00,  3.58714032e+00,\n",
-       "         3.55944085e+00,  3.58880138e+00,  3.53171992e+00,\n",
-       "         3.53358531e+00,  3.49057865e+00,  3.49481201e+00,\n",
-       "         3.49612260e+00,  3.45677161e+00,  3.42318940e+00,\n",
-       "         3.46062589e+00,  3.41326380e+00,  3.41770315e+00,\n",
-       "         3.41921234e+00,  3.43796873e+00,  3.42292237e+00,\n",
-       "         3.41392589e+00,  3.38415337e+00,  3.38218069e+00,\n",
-       "         3.43648434e+00,  3.38592434e+00,  3.34218621e+00,\n",
-       "         3.38532996e+00,  3.37350154e+00,  3.37754154e+00,\n",
-       "         3.35902476e+00,  3.34339881e+00,  3.35676146e+00,\n",
-       "         3.35692763e+00,  3.32560086e+00,  3.27195191e+00,\n",
-       "         3.19083190e+00,  2.95882225e+00,  2.40057945e+00,\n",
-       "         2.16090226e+00,  1.92318320e+00,  1.78795314e+00,\n",
-       "         1.62216699e+00,  1.56376326e+00,  1.46418226e+00,\n",
-       "...\n",
-       "        -1.96982498e+02, -1.97061203e+02, -1.96969849e+02,\n",
-       "        -1.97076538e+02, -1.97007187e+02, -1.97028168e+02,\n",
-       "        -1.97006195e+02, -1.97027512e+02, -1.97029175e+02,\n",
-       "        -1.96980515e+02, -1.97019150e+02, -1.96939850e+02,\n",
-       "        -1.96979843e+02, -1.97032181e+02, -1.97038193e+02,\n",
-       "        -1.96942871e+02, -1.96959534e+02, -1.96986191e+02,\n",
-       "        -1.97056839e+02, -1.97049850e+02, -1.97026855e+02,\n",
-       "        -1.97041199e+02, -1.97016525e+02, -1.97084503e+02,\n",
-       "        -1.97077499e+02, -1.97032166e+02, -1.97061508e+02,\n",
-       "        -1.97079834e+02, -1.97101852e+02, -1.97092865e+02,\n",
-       "        -1.97062164e+02, -1.97118851e+02, -1.97044510e+02,\n",
-       "        -1.97032166e+02, -1.97112183e+02, -1.96995499e+02,\n",
-       "        -1.97103195e+02, -1.97131195e+02, -1.97147202e+02,\n",
-       "        -1.97079849e+02, -1.97053513e+02, -1.97125504e+02,\n",
-       "        -1.97132843e+02, -1.97114838e+02, -1.97074829e+02,\n",
-       "        -1.97085831e+02, -1.97115845e+02, -1.97091156e+02,\n",
-       "        -1.97044174e+02, -1.97063873e+02, -1.97090515e+02,\n",
-       "        -1.97129501e+02, -1.97007523e+02, -1.97017838e+02,\n",
-       "        -1.97019165e+02, -1.97129166e+02, -1.97051849e+02,\n",
-       "        -1.97113190e+02, -1.97104507e+02, -1.97053848e+02]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>accel</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.261 -1.263 -1.26 ... 9.714 9.712</div><input id='attrs-a899fa25-7d18-4765-afe3-04bc22fe5d71' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a899fa25-7d18-4765-afe3-04bc22fe5d71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b02d62d4-7b2a-4b71-b7be-ca78eb28e340' class='xr-var-data-in' type='checkbox'><label for='data-b02d62d4-7b2a-4b71-b7be-ca78eb28e340' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-2</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acceleration</dd></dl></div><div class='xr-var-data'><pre>array([[-1.2608225 , -1.2632061 , -1.2602278 , -1.2620431 , -1.2610018 ,\n",
-       "        -1.2613868 , -1.2610568 , -1.2621608 , -1.2631991 , -1.2639122 ,\n",
-       "        -1.2618904 , -1.258823  , -1.2596216 , -1.258702  , -1.2583325 ,\n",
-       "        -1.2578007 , -1.2583394 , -1.2576339 , -1.2579147 , -1.2534361 ,\n",
-       "        -1.2568558 , -1.2559422 , -1.2557042 , -1.2571892 , -1.2556211 ,\n",
-       "        -1.2540294 , -1.2548382 , -1.2532483 , -1.2525105 , -1.2511989 ,\n",
-       "        -1.2522614 , -1.2561746 , -1.2530836 , -1.2531874 , -1.2519903 ,\n",
-       "        -1.2518218 , -1.2511966 , -1.2544034 , -1.2561861 , -1.2536184 ,\n",
-       "        -1.2504781 , -1.2535783 , -1.2560768 , -1.2559297 , -1.257113  ,\n",
-       "        -1.2519604 , -1.2501055 , -1.2515699 , -1.2483989 , -1.2508361 ,\n",
-       "        -1.2479837 , -1.2430646 , -1.2314413 , -1.2083213 , -1.1935245 ,\n",
-       "        -1.1852744 , -1.1747023 , -1.1735051 , -1.1686733 , -1.1616861 ,\n",
-       "        -1.1579937 , -1.1570411 , -1.1541711 , -1.1540251 , -1.1536013 ,\n",
-       "        -1.1516274 , -1.147889  , -1.1449583 , -1.1449729 , -1.14322   ,\n",
-       "        -1.1418625 , -1.1392603 , -1.1384715 , -1.136121  , -1.1344364 ,\n",
-       "        -1.132704  , -1.1329331 , -1.1329101 , -1.130972  , -1.1331373 ,\n",
-       "        -1.1304799 , -1.1283726 , -1.1294136 , -1.132449  , -1.1283008 ,\n",
-       "        -1.1297874 , -1.1291262 , -1.1277461 , -1.1284393 , -1.1265595 ,\n",
-       "        -1.1229205 , -1.1222471 , -1.1207403 , -1.1196108 , -1.1196036 ,\n",
-       "        -1.1186633 , -1.1185873 , -1.1168755 , -1.1150851 , -1.1146263 ,\n",
-       "...\n",
-       "         9.716357  ,  9.717475  ,  9.7163725 ,  9.718897  ,  9.715463  ,\n",
-       "         9.711327  ,  9.713148  ,  9.713642  ,  9.712924  ,  9.715384  ,\n",
-       "         9.715974  ,  9.716772  ,  9.718337  ,  9.714473  ,  9.717203  ,\n",
-       "         9.714393  ,  9.71425   ,  9.713914  ,  9.711695  ,  9.708918  ,\n",
-       "         9.711455  ,  9.70863   ,  9.711487  ,  9.71433   ,  9.710337  ,\n",
-       "         9.711295  ,  9.7138815 ,  9.70997   ,  9.713227  ,  9.717092  ,\n",
-       "         9.713419  ,  9.719773  ,  9.71832   ,  9.716453  ,  9.717108  ,\n",
-       "         9.715989  ,  9.7141695 ,  9.711615  ,  9.71741   ,  9.715814  ,\n",
-       "         9.71428   ,  9.717347  ,  9.712972  ,  9.7162285 ,  9.713419  ,\n",
-       "         9.712238  ,  9.714361  ,  9.716245  ,  9.713563  ,  9.718161  ,\n",
-       "         9.713195  ,  9.715207  ,  9.71591   ,  9.713914  ,  9.7165    ,\n",
-       "         9.7136755 ,  9.717347  ,  9.719837  ,  9.718688  ,  9.713898  ,\n",
-       "         9.717618  ,  9.715941  ,  9.710864  ,  9.71433   ,  9.717777  ,\n",
-       "         9.716262  ,  9.716644  ,  9.719199  ,  9.718911  ,  9.715112  ,\n",
-       "         9.714042  ,  9.710752  ,  9.714153  ,  9.716006  ,  9.715191  ,\n",
-       "         9.716421  ,  9.718177  ,  9.717875  ,  9.718033  ,  9.713227  ,\n",
-       "         9.714537  ,  9.714841  ,  9.714376  ,  9.71848   ,  9.7165    ,\n",
-       "         9.715717  ,  9.711741  ,  9.710465  ,  9.712621  ,  9.71337   ,\n",
-       "         9.715622  ,  9.715989  ,  9.711598  ,  9.71219   ,  9.71021   ,\n",
-       "         9.712366  ,  9.7141695 ,  9.711616  ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>batt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>16.48 16.48 16.48 ... 16.26 16.26</div><input id='attrs-de29e6fa-0f56-4d87-b171-ef3a1091f762' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de29e6fa-0f56-4d87-b171-ef3a1091f762' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5546337-3ff6-4986-a386-f2b1901fbdcd' class='xr-var-data-in' type='checkbox'><label for='data-f5546337-3ff6-4986-a386-f2b1901fbdcd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>V</dd><dt><span>long_name :</span></dt><dd>Battery Voltage</dd><dt><span>standard_name :</span></dt><dd>battery_voltage</dd></dl></div><div class='xr-var-data'><pre>array([16.481167, 16.478   , 16.478   , 16.477167, 16.481   , 16.484167,\n",
-       "       16.477167, 16.479834, 16.479166, 16.482666, 16.478167, 16.481668,\n",
-       "       16.479668, 16.475334, 16.479668, 16.479   , 16.474   , 16.475334,\n",
-       "       16.477667, 16.473167, 16.472168, 16.468334, 16.472334, 16.471169,\n",
-       "       16.466002, 16.476501, 16.464167, 16.464666, 16.462667, 16.460833,\n",
-       "       16.462164, 16.460167, 16.459501, 16.459002, 16.454332, 16.449501,\n",
-       "       16.444332, 16.4325  , 16.422   , 16.412834, 16.400167, 16.397667,\n",
-       "       16.385334, 16.382334, 16.380499, 16.383333, 16.381332, 16.379833,\n",
-       "       16.382   , 16.379168, 16.380499, 16.378834, 16.374832, 16.384499,\n",
-       "       16.374166, 16.373333, 16.377167, 16.376   , 16.38    , 16.370333,\n",
-       "       16.376501, 16.382   , 16.3775  , 16.3815  , 16.378   , 16.3785  ,\n",
-       "       16.378   , 16.383667, 16.374668, 16.3845  , 16.353   , 16.372334,\n",
-       "       16.377668, 16.378168, 16.372334, 16.372665, 16.363167, 16.367167,\n",
-       "       16.372833, 16.363333, 16.355165, 16.367002, 16.368334, 16.372665,\n",
-       "       16.360834, 16.367834, 16.367   , 16.360834, 16.358   , 16.342833,\n",
-       "       16.341167, 16.328001, 16.317   , 16.305332, 16.295   , 16.2915  ,\n",
-       "       16.279333, 16.281166, 16.280834, 16.276167, 16.279333, 16.279333,\n",
-       "       16.275333, 16.279001, 16.279001, 16.275333, 16.279001, 16.279001,\n",
-       "       16.275333, 16.279001, 16.279001, 16.275333, 16.279001, 16.279001,\n",
-       "       16.275333, 16.279001, 16.279001, 16.275333, 16.279001, 16.279001,\n",
-       "       16.275333, 16.279001, 16.279001, 16.275333, 16.279001, 16.279001,\n",
-       "       16.275333, 16.279001, 16.279001, 16.275333, 16.279001, 16.279001,\n",
-       "       16.275333, 16.279001, 16.279001, 16.275333, 16.279001, 16.279001,\n",
-       "       16.275   , 16.278334, 16.276834, 16.271   , 16.2725  , 16.27    ,\n",
-       "       16.265165, 16.268333, 16.268   , 16.264   , 16.268   , 16.268   ,\n",
-       "       16.264   , 16.268   , 16.268   , 16.264   , 16.268   , 16.268   ,\n",
-       "       16.264   , 16.268   , 16.268   , 16.264   , 16.268   , 16.263334,\n",
-       "       16.258333, 16.262335, 16.262169, 16.2575  , 16.261   , 16.260332,\n",
-       "       16.25633 , 16.257998, 16.258333, 16.253334, 16.257998, 16.257332,\n",
-       "       16.253166, 16.256998, 16.256998, 16.252666, 16.256998, 16.256998,\n",
-       "       16.252666, 16.256998, 16.256998], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_clock</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>20.0 20.0 20.0 ... 19.5 19.5 19.5</div><input id='attrs-7246ebc5-63f8-46e8-a0eb-6e66b537fdeb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7246ebc5-63f8-46e8-a0eb-6e66b537fdeb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b2b71af-ff51-449a-a230-50c42525f9e8' class='xr-var-data-in' type='checkbox'><label for='data-5b2b71af-ff51-449a-a230-50c42525f9e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Internal Clock Temperature</dd></dl></div><div class='xr-var-data'><pre>array([20.      , 20.      , 20.      , 20.043333, 20.25    , 20.25    ,\n",
-       "       20.25    , 20.25    , 20.263334, 20.446667, 20.5     , 20.5     ,\n",
-       "       20.5     , 20.5     , 20.5     , 20.5     , 20.5     , 20.5     ,\n",
-       "       20.5     , 20.5     , 20.5     , 20.5     , 20.5     , 20.31    ,\n",
-       "       20.25    , 20.25    , 20.163334, 20.      , 20.      , 20.      ,\n",
-       "       19.766666, 19.75    , 19.75    , 19.726667, 19.553333, 19.5     ,\n",
-       "       19.5     , 19.5     , 19.5     , 19.5     , 19.5     , 19.5     ,\n",
-       "       19.5     , 19.5     , 19.5     , 19.5     , 19.5     , 19.5     ,\n",
-       "       19.5     , 19.5     , 19.5     , 19.5     , 19.5     , 19.5     ,\n",
-       "       19.5     , 19.5     , 19.5     , 19.5     , 19.5     , 19.5     ,\n",
-       "       19.5     , 19.5     , 19.5     , 19.5     , 19.5     , 19.5     ,\n",
-       "       19.5     , 19.5     , 19.5     , 19.5     , 19.5     , 19.5     ,\n",
-       "       19.5     , 19.606667, 19.746666, 19.75    , 19.75    , 19.75    ,\n",
-       "       19.75    , 19.75    , 19.75    , 19.75    , 19.75    , 19.75    ,\n",
-       "       19.75    , 19.75    , 19.75    , 19.75    , 19.75    , 19.75    ,\n",
-       "       19.556667, 19.5     , 19.5     , 19.5     , 19.626667, 19.75    ,\n",
-       "       19.75    , 19.75    , 19.75    , 19.75    , 19.75    , 19.75    ,\n",
-       "       19.75    , 19.75    , 19.75    , 19.54    , 19.413334, 19.233334,\n",
-       "       19.      , 18.91    , 18.75    , 18.746666, 18.5     , 18.5     ,\n",
-       "       18.5     , 18.5     , 18.366667, 18.25    , 18.25    , 18.25    ,\n",
-       "       18.25    , 18.2     , 18.      , 18.      , 18.      , 18.      ,\n",
-       "       17.873333, 17.75    , 17.75    , 17.75    , 17.863333, 18.      ,\n",
-       "       18.      , 18.17    , 18.25    , 18.44    , 18.513334, 18.75    ,\n",
-       "       18.783333, 19.      , 19.      , 19.196667, 19.25    , 19.25    ,\n",
-       "       19.25    , 19.433332, 19.5     , 19.5     , 19.5     , 19.5     ,\n",
-       "       19.5     , 19.5     , 19.5     , 19.5     , 19.5     , 19.5     ,\n",
-       "       19.5     , 19.5     , 19.5     , 19.5     , 19.5     , 19.5     ,\n",
-       "       19.5     , 19.5     , 19.5     , 19.5     , 19.5     , 19.53    ,\n",
-       "       19.696667, 19.75    , 19.75    , 19.75    , 19.75    , 19.75    ,\n",
-       "       19.75    , 19.75    , 19.71    , 19.5     , 19.5     , 19.5     ,\n",
-       "       19.5     , 19.5     , 19.5     ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>error</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-cb14a4c6-5017-4bda-ac21-2fcc0f72702e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb14a4c6-5017-4bda-ac21-2fcc0f72702e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae80c9f2-edee-4981-90d7-b281d205f328' class='xr-var-data-in' type='checkbox'><label for='data-ae80c9f2-edee-4981-90d7-b281d205f328' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Error Code</dd></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.054e+09 1.054e+09 ... 1.054e+09</div><input id='attrs-cc0cf513-bd59-407d-adc4-aec84aade42c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc0cf513-bd59-407d-adc4-aec84aade42c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a0b89f6-b56d-405b-9bc5-d0c028b38012' class='xr-var-data-in' type='checkbox'><label for='data-0a0b89f6-b56d-405b-9bc5-d0c028b38012' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Status Code</dd></dl></div><div class='xr-var-data'><pre>array([1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355693e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "...\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355693e+09, 1.05355699e+09, 1.05355699e+09,\n",
-       "       1.05355699e+09, 1.05355699e+09, 1.05355699e+09, 1.05355699e+09,\n",
-       "       1.05355699e+09, 1.05355699e+09, 1.05355699e+09, 1.05355699e+09,\n",
-       "       1.05355699e+09, 1.05355699e+09, 1.05355699e+09, 1.05355699e+09,\n",
-       "       1.05355699e+09, 1.05355699e+09, 1.05355699e+09, 1.05355699e+09,\n",
-       "       1.05355699e+09, 1.05355699e+09, 1.05355699e+09], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vel</span></div><div class='xr-var-dims'>(dir, range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.2358 0.266 0.3007 ... nan nan nan</div><input id='attrs-8c6a894f-c99f-4c61-8e63-9b0744f354b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c6a894f-c99f-4c61-8e63-9b0744f354b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbec152b-b3d5-455e-801a-5671c162591a' class='xr-var-data-in' type='checkbox'><label for='data-dbec152b-b3d5-455e-801a-5671c162591a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Water Velocity</dd><dt><span>Comments :</span></dt><dd>Filtered of data with a correlation value below 50%</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.23582192,  0.2660148 ,  0.30069652, ..., -0.179669  ,\n",
-       "         -0.18383324, -0.17606331],\n",
-       "        [ 0.25633767,  0.28601688,  0.3117814 , ..., -0.19580415,\n",
-       "         -0.19696543, -0.20011853],\n",
-       "        [ 0.26504937,  0.28428233,  0.31169885, ..., -0.2103943 ,\n",
-       "         -0.21627884, -0.21236075],\n",
-       "        ...,\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan],\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan],\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan]],\n",
-       "\n",
-       "       [[ 0.02619691,  0.04430203,  0.04002393, ...,  0.05932099,\n",
-       "          0.06400961,  0.07232199],\n",
-       "        [ 0.06181316,  0.07802678,  0.06236525, ...,  0.0768801 ,\n",
-       "          0.08184617,  0.0892335 ],\n",
-       "        [ 0.08793733,  0.10133781,  0.08016948, ...,  0.08136398,\n",
-       "          0.08639657,  0.10118616],\n",
-       "...\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan],\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan],\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan]],\n",
-       "\n",
-       "       [[-0.00417333, -0.01056667, -0.01045333, ..., -0.02584564,\n",
-       "         -0.02752333, -0.02575667],\n",
-       "        [ 0.01358667,  0.00760333,  0.00634667, ..., -0.01625333,\n",
-       "         -0.01776333, -0.01595   ],\n",
-       "        [ 0.01556187,  0.00811371,  0.00740333, ..., -0.00842   ,\n",
-       "         -0.01147667, -0.01189667],\n",
-       "        ...,\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan],\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan],\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan]]], shape=(4, 28, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>amp</span></div><div class='xr-var-dims'>(beam, range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>79.95 80.28 80.69 ... nan nan nan</div><input id='attrs-dcef319d-3809-4efc-ac3d-4bdfe1b0f3a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dcef319d-3809-4efc-ac3d-4bdfe1b0f3a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d35a990-7c06-46e7-9f16-aa3349287c64' class='xr-var-data-in' type='checkbox'><label for='data-7d35a990-7c06-46e7-9f16-aa3349287c64' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Amplitude</dd><dt><span>standard_name :</span></dt><dd>signal_intensity_from_multibeam_acoustic_doppler_velocity_sensor_in_sea_water</dd><dt><span>Comments :</span></dt><dd>Filtered of data with a correlation value below 50%</dd></dl></div><div class='xr-var-data'><pre>array([[[79.94666 , 80.28167 , 80.68667 , ..., 81.721664, 81.80334 ,\n",
-       "         81.68667 ],\n",
-       "        [75.535   , 76.043335, 76.66167 , ..., 77.62666 , 77.73    ,\n",
-       "         77.528336],\n",
-       "        [72.81167 , 73.391304, 74.26833 , ..., 74.525   , 74.39667 ,\n",
-       "         74.253334],\n",
-       "        ...,\n",
-       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
-       "               nan],\n",
-       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
-       "               nan],\n",
-       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
-       "               nan]],\n",
-       "\n",
-       "       [[80.706665, 80.93833 , 81.255   , ..., 82.19833 , 82.225   ,\n",
-       "         82.17    ],\n",
-       "        [76.80666 , 76.996666, 77.44833 , ..., 78.38333 , 78.41167 ,\n",
-       "         78.06    ],\n",
-       "        [74.31834 , 74.64667 , 75.903336, ..., 75.16333 , 75.26833 ,\n",
-       "         74.875   ],\n",
-       "...\n",
-       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
-       "               nan],\n",
-       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
-       "               nan],\n",
-       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
-       "               nan]],\n",
-       "\n",
-       "       [[80.185   , 80.55    , 80.885   , ..., 81.888336, 81.945   ,\n",
-       "         81.85833 ],\n",
-       "        [75.78    , 76.291664, 76.76833 , ..., 77.97667 , 78.03833 ,\n",
-       "         77.87666 ],\n",
-       "        [72.67725 , 73.55666 , 74.44334 , ..., 74.75833 , 74.665   ,\n",
-       "         74.47    ],\n",
-       "        ...,\n",
-       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
-       "               nan],\n",
-       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
-       "               nan],\n",
-       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
-       "               nan]]], shape=(4, 28, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>corr</span></div><div class='xr-var-dims'>(beam, range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>92.59 92.61 92.47 ... 0.0 0.0 0.0</div><input id='attrs-e8e09ea2-5181-492c-9abb-4dae602329d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8e09ea2-5181-492c-9abb-4dae602329d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8efeaaf4-1cc0-461c-90da-afcc0082ce62' class='xr-var-data-in' type='checkbox'><label for='data-8efeaaf4-1cc0-461c-90da-afcc0082ce62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>%</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Correlation</dd><dt><span>standard_name :</span></dt><dd>beam_consistency_indicator_from_multibeam_acoustic_doppler_velocity_profiler_in_sea_water</dd><dt><span>Comments :</span></dt><dd>Filtered of data with a correlation value below 50%</dd></dl></div><div class='xr-var-data'><pre>array([[[92.58667 , 92.613335, 92.47    , ..., 91.933334, 91.96667 ,\n",
-       "         92.06333 ],\n",
-       "        [96.236664, 96.526665, 96.206665, ..., 96.00667 , 96.3     ,\n",
-       "         96.03333 ],\n",
-       "        [97.166664, 96.246666, 95.94    , ..., 96.45333 , 97.206665,\n",
-       "         97.263336],\n",
-       "        ...,\n",
-       "        [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
-       "          0.      ],\n",
-       "        [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
-       "          0.      ],\n",
-       "        [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
-       "          0.      ]],\n",
-       "\n",
-       "       [[93.333336, 93.61    , 93.31333 , ..., 91.6     , 91.49    ,\n",
-       "         91.14667 ],\n",
-       "        [96.57    , 96.39    , 96.12666 , ..., 96.27    , 96.56333 ,\n",
-       "         96.44334 ],\n",
-       "        [97.37666 , 97.09333 , 96.87666 , ..., 96.17333 , 97.30334 ,\n",
-       "         97.32667 ],\n",
-       "...\n",
-       "        [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
-       "          0.      ],\n",
-       "        [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
-       "          0.      ],\n",
-       "        [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
-       "          0.      ]],\n",
-       "\n",
-       "       [[92.78333 , 93.223335, 92.63    , ..., 92.22    , 92.34    ,\n",
-       "         92.61    ],\n",
-       "        [96.75    , 96.34333 , 96.34    , ..., 96.53    , 96.69    ,\n",
-       "         96.27333 ],\n",
-       "        [96.346664, 97.05    , 97.24    , ..., 96.66333 , 96.89333 ,\n",
-       "         97.41    ],\n",
-       "        ...,\n",
-       "        [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
-       "          0.      ],\n",
-       "        [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
-       "          0.      ],\n",
-       "        [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
-       "          0.      ]]], shape=(4, 28, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientmat</span></div><div class='xr-var-dims'>(earth, inst, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.05743 0.05697 ... 0.9937 0.9937</div><input id='attrs-9b2c757c-c921-4588-8c5b-3a44841f1715' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b2c757c-c921-4588-8c5b-3a44841f1715' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f51a2dc2-78d5-40bf-b90c-b2d939d5d5a2' class='xr-var-data-in' type='checkbox'><label for='data-f51a2dc2-78d5-40bf-b90c-b2d939d5d5a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Orientation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[[ 5.74317947e-02,  5.69723397e-02,  5.82992062e-02, ...,\n",
-       "          5.81927113e-02,  5.85613623e-02,  5.85512854e-02],\n",
-       "        [ 9.98300374e-01,  9.98323679e-01,  9.98248577e-01, ...,\n",
-       "          9.98254061e-01,  9.98234987e-01,  9.98234689e-01],\n",
-       "        [-1.05408905e-03, -1.34927384e-03, -1.13080605e-03, ...,\n",
-       "         -8.26976204e-04, -8.38353124e-04, -8.28948745e-04]],\n",
-       "\n",
-       "       [[-9.89950538e-01, -9.89953220e-01, -9.89922285e-01, ...,\n",
-       "         -9.91938353e-01, -9.91944909e-01, -9.91939366e-01],\n",
-       "        [ 5.68153895e-02,  5.63202463e-02,  5.76671995e-02, ...,\n",
-       "          5.77317439e-02,  5.80984168e-02,  5.80891557e-02],\n",
-       "        [-1.29125342e-01, -1.29299909e-01, -1.28952131e-01, ...,\n",
-       "         -1.12354711e-01, -1.12130061e-01, -1.12175331e-01]],\n",
-       "\n",
-       "       [[-1.28852651e-01, -1.29014045e-01, -1.28667876e-01, ...,\n",
-       "         -1.12116747e-01, -1.11889169e-01, -1.11934915e-01],\n",
-       "        [ 8.45469162e-03,  8.69723968e-03,  8.63243733e-03, ...,\n",
-       "          7.35414820e-03,  7.39390310e-03,  7.38611678e-03],\n",
-       "        [ 9.91627276e-01,  9.91604209e-01,  9.91649806e-01, ...,\n",
-       "          9.93667483e-01,  9.93692815e-01,  9.93687749e-01]]],\n",
-       "      shape=(3, 3, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angrt</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.000807 0.0008203 ... -0.002598</div><input id='attrs-b485eef9-a704-4048-8ddb-75f9f1d992a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b485eef9-a704-4048-8ddb-75f9f1d992a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ded8637c-a800-4d74-b9aa-9f557aa69155' class='xr-var-data-in' type='checkbox'><label for='data-ded8637c-a800-4d74-b9aa-9f557aa69155' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>rad s-1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Angular Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.00080699,  0.00082028,  0.00085015,  0.0008093 ,  0.00077764,\n",
-       "         0.00076247,  0.00084005,  0.00080013,  0.00073725,  0.00069978,\n",
-       "         0.00068869,  0.000708  ,  0.00070397,  0.00064101,  0.0007507 ,\n",
-       "         0.00071757,  0.00060209,  0.00062077,  0.00062501,  0.0005675 ,\n",
-       "         0.00054653,  0.00055442,  0.00072552,  0.00056834,  0.00065792,\n",
-       "         0.00086152,  0.00080709,  0.00096736,  0.00085591,  0.00094166,\n",
-       "         0.00090368,  0.00095632,  0.00094047,  0.00091472,  0.00092718,\n",
-       "         0.00097144,  0.00090388,  0.00098592,  0.00099217,  0.00104627,\n",
-       "         0.00101094,  0.00108953,  0.00094413,  0.0010326 ,  0.00105636,\n",
-       "         0.00098609,  0.00101084,  0.00101927,  0.00101796,  0.00096841,\n",
-       "         0.00102785,  0.00113951,  0.00098156,  0.00111134,  0.00100472,\n",
-       "         0.00104199,  0.00104198,  0.00100612,  0.00103637,  0.00099132,\n",
-       "         0.00102272,  0.00102712,  0.00100425,  0.0010416 ,  0.00097589,\n",
-       "         0.00090605,  0.00108258,  0.00090169,  0.00096689,  0.00081777,\n",
-       "         0.0009423 ,  0.00087804,  0.00102183,  0.00083111,  0.0009242 ,\n",
-       "         0.00094747,  0.00110261,  0.00097415,  0.00097692,  0.00113317,\n",
-       "         0.00105406,  0.00104935,  0.00102722,  0.00093711,  0.00103575,\n",
-       "         0.00095867,  0.0009583 ,  0.00104538,  0.00100466,  0.00095809,\n",
-       "         0.00101549,  0.00097118,  0.00090704,  0.00094464,  0.00096578,\n",
-       "         0.00105039,  0.00093799,  0.00100518,  0.00088882,  0.00095506,\n",
-       "...\n",
-       "        -0.00263344, -0.00258787, -0.00256183, -0.00256183, -0.00250324,\n",
-       "        -0.00268227, -0.00268227, -0.00259113, -0.00262693, -0.00257485,\n",
-       "        -0.00259113, -0.00252602, -0.00267576, -0.00253904, -0.00256509,\n",
-       "        -0.00242511, -0.00249998, -0.00250975, -0.00252277, -0.00261066,\n",
-       "        -0.00257485, -0.00265298, -0.00264647, -0.00261391, -0.00260089,\n",
-       "        -0.00270181, -0.0027604 , -0.00278318, -0.00288084, -0.00274412,\n",
-       "        -0.00280272, -0.00289386, -0.0030729 , -0.0029492 , -0.0029199 ,\n",
-       "        -0.00302407, -0.00299803, -0.00296222, -0.00288084, -0.00299477,\n",
-       "        -0.00304034, -0.00298175, -0.00296222, -0.00296873, -0.00305337,\n",
-       "        -0.00302081, -0.00299803, -0.00304034, -0.0030729 , -0.0029199 ,\n",
-       "        -0.00295571, -0.00287433, -0.00287433, -0.0028548 , -0.00275714,\n",
-       "        -0.00271157, -0.0027018 , -0.00278644, -0.0026074 , -0.00264972,\n",
-       "        -0.00273761, -0.00259764, -0.00258787, -0.00256834, -0.00263344,\n",
-       "        -0.00255207, -0.00265623, -0.00261391, -0.00255207, -0.00249673,\n",
-       "        -0.00258787, -0.00256183, -0.00253579, -0.00264321, -0.00268553,\n",
-       "        -0.00255858, -0.00264321, -0.00262693, -0.0025423 , -0.00256834,\n",
-       "        -0.00263345, -0.00258136, -0.00250975, -0.00261717, -0.00264321,\n",
-       "        -0.00260741, -0.00261066, -0.00250649, -0.00248371, -0.0026074 ,\n",
-       "        -0.00260415, -0.00260415, -0.00250324, -0.00259764, -0.002513  ,\n",
-       "        -0.00256509, -0.00253904, -0.00259764]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quaternions</span></div><div class='xr-var-dims'>(q, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.6245 0.6243 ... 0.7784 0.7784</div><input id='attrs-ecc277c0-5ffc-479d-8499-8da5fe58c508' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ecc277c0-5ffc-479d-8499-8da5fe58c508' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69e77445-8f9a-4232-803d-89f14e29e3ff' class='xr-var-data-in' type='checkbox'><label for='data-69e77445-8f9a-4232-803d-89f14e29e3ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Quaternions</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.6245074 ,  0.624316  ,  0.6248463 ,  0.6245108 ,  0.6247046 ,\n",
-       "         0.62467265,  0.62460417,  0.62476116,  0.6245991 ,  0.6246464 ,\n",
-       "         0.624686  ,  0.6249721 ,  0.6249648 ,  0.6250649 ,  0.62494904,\n",
-       "         0.62500936,  0.6250884 ,  0.6250855 ,  0.6253171 ,  0.6254035 ,\n",
-       "         0.6253574 ,  0.6254711 ,  0.6251542 ,  0.6249595 ,  0.62512624,\n",
-       "         0.62510735,  0.62479544,  0.6250753 ,  0.624999  ,  0.6248949 ,\n",
-       "         0.6248343 ,  0.6245227 ,  0.6248399 ,  0.624795  ,  0.6250311 ,\n",
-       "         0.62494355,  0.6249766 ,  0.6244582 ,  0.62417775,  0.6244494 ,\n",
-       "         0.6248647 ,  0.6245337 ,  0.62416995,  0.6242157 ,  0.62425923,\n",
-       "         0.6247039 ,  0.6248129 ,  0.6246122 ,  0.6248121 ,  0.6246928 ,\n",
-       "         0.6245991 ,  0.6248212 ,  0.6247573 ,  0.6243741 ,  0.6243043 ,\n",
-       "         0.6244282 ,  0.6243682 ,  0.6240724 ,  0.62418926,  0.6241515 ,\n",
-       "         0.6239765 ,  0.62391806,  0.62415963,  0.62387216,  0.6239287 ,\n",
-       "         0.62390673,  0.6236841 ,  0.62378633,  0.6236643 ,  0.6235926 ,\n",
-       "         0.62364197,  0.6237233 ,  0.62374234,  0.62387735,  0.62402254,\n",
-       "         0.62393117,  0.62393445,  0.62373453,  0.62396324,  0.62340415,\n",
-       "         0.62373024,  0.62379295,  0.62355286,  0.6231889 ,  0.62350035,\n",
-       "         0.6232749 ,  0.6232579 ,  0.6233172 ,  0.6232117 ,  0.62328154,\n",
-       "         0.6234021 ,  0.62359464,  0.6235321 ,  0.62355274,  0.62340564,\n",
-       "         0.6233349 ,  0.6232732 ,  0.62326413,  0.62335676,  0.6233057 ,\n",
-       "...\n",
-       "         0.77982664,  0.7798403 ,  0.77980125,  0.7798833 ,  0.7798343 ,\n",
-       "         0.77974474,  0.7795985 ,  0.77965385,  0.77964175,  0.7797572 ,\n",
-       "         0.7798193 ,  0.77987343,  0.77987754,  0.7798154 ,  0.7798561 ,\n",
-       "         0.77976704,  0.77973217,  0.77971977,  0.77958   ,  0.7794924 ,\n",
-       "         0.77951276,  0.77934176,  0.77977145,  0.77983665,  0.7796758 ,\n",
-       "         0.77951133,  0.77975136,  0.7796223 ,  0.7795445 ,  0.7798783 ,\n",
-       "         0.7796854 ,  0.78009176,  0.77983886,  0.77976817,  0.7798124 ,\n",
-       "         0.77966744,  0.77980477,  0.77957195,  0.7797228 ,  0.7795519 ,\n",
-       "         0.77965647,  0.7795511 ,  0.7795689 ,  0.77951413,  0.77942085,\n",
-       "         0.7791843 ,  0.7793043 ,  0.7793574 ,  0.7790914 ,  0.77922   ,\n",
-       "         0.7788722 ,  0.77907705,  0.7790985 ,  0.778842  ,  0.7789314 ,\n",
-       "         0.77889466,  0.7789852 ,  0.7792381 ,  0.77916646,  0.7788889 ,\n",
-       "         0.77894676,  0.7789039 ,  0.7785506 ,  0.7786492 ,  0.7788344 ,\n",
-       "         0.7786969 ,  0.77884805,  0.7789083 ,  0.77894056,  0.7786727 ,\n",
-       "         0.77858806,  0.7783844 ,  0.7785528 ,  0.7787677 ,  0.77864134,\n",
-       "         0.77870125,  0.7787834 ,  0.7788154 ,  0.7788442 ,  0.7785659 ,\n",
-       "         0.7785521 ,  0.77869254,  0.77849793,  0.7787016 ,  0.77872854,\n",
-       "         0.77860415,  0.7784391 ,  0.7783881 ,  0.7785563 ,  0.77852774,\n",
-       "         0.77856874,  0.77847373,  0.7784385 ,  0.7782882 ,  0.778279  ,\n",
-       "         0.778462  ,  0.77835196,  0.77835387]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_press</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>12.8 12.8 12.8 ... 12.0 12.0 12.0</div><input id='attrs-2a830c4a-30b3-44a0-bf5d-015ab205796c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a830c4a-30b3-44a0-bf5d-015ab205796c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2451ce69-7a5d-4d87-91a9-a73a177b0ae6' class='xr-var-data-in' type='checkbox'><label for='data-2451ce69-7a5d-4d87-91a9-a73a177b0ae6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Pressure Sensor Temperature</dd></dl></div><div class='xr-var-data'><pre>array([12.800002 , 12.800002 , 12.800002 , 12.800002 , 12.800002 ,\n",
-       "       12.966666 , 13.       , 13.050666 , 13.199998 , 13.199998 ,\n",
-       "       13.199998 , 13.199998 , 13.199998 , 13.199998 , 13.199998 ,\n",
-       "       13.199998 , 13.199998 , 13.199998 , 13.176665 , 13.       ,\n",
-       "       13.       , 12.941335 , 12.800002 , 12.631333 , 12.598    ,\n",
-       "       12.411335 , 12.400001 , 12.230666 , 12.199998 , 12.119332 ,\n",
-       "       12.       , 12.       , 12.       , 11.957999 , 11.800002 ,\n",
-       "       11.800002 , 11.800002 , 11.800002 , 11.800002 , 11.800002 ,\n",
-       "       11.800002 , 11.800002 , 11.800002 , 11.800002 , 11.834001 ,\n",
-       "       11.999333 , 12.       , 12.       , 12.       , 12.       ,\n",
-       "       12.       , 12.       , 12.       , 12.       , 12.       ,\n",
-       "       12.       , 12.       , 12.       , 12.       , 12.       ,\n",
-       "       12.       , 12.       , 12.       , 12.       , 12.       ,\n",
-       "       12.       , 12.       , 12.       , 12.       , 12.       ,\n",
-       "       12.       , 12.104667 , 12.193999 , 12.199998 , 12.199998 ,\n",
-       "       12.199998 , 12.199998 , 12.199998 , 12.199998 , 12.199998 ,\n",
-       "       12.199998 , 12.199998 , 12.199998 , 12.199998 , 12.086667 ,\n",
-       "       12.113999 , 12.192665 , 12.032667 , 12.078666 , 12.03     ,\n",
-       "       12.       , 12.111999 , 12.199998 , 12.199998 , 12.199998 ,\n",
-       "       12.202665 , 12.219333 , 12.274    , 12.367333 , 12.203999 ,\n",
-       "       12.217332 , 12.199998 , 12.199998 , 12.119332 , 11.845334 ,\n",
-       "       11.496667 , 11.219998 , 11.       , 10.952001 , 10.800002 ,\n",
-       "       10.800002 , 10.800002 , 10.800002 , 10.751334 , 10.599999 ,\n",
-       "       10.599999 , 10.599999 , 10.599999 , 10.5546665, 10.400001 ,\n",
-       "       10.400001 , 10.334666 , 10.2      , 10.2      , 10.191999 ,\n",
-       "       10.029333 , 10.       , 10.009334 , 10.198667 , 10.243333 ,\n",
-       "       10.415334 , 10.599999 , 10.772668 , 11.       , 11.186666 ,\n",
-       "       11.398002 , 11.528    , 11.599999 , 11.746667 , 11.800002 ,\n",
-       "       11.876667 , 12.       , 12.       , 12.       , 12.       ,\n",
-       "       12.       , 12.       , 12.       , 12.000667 , 12.006    ,\n",
-       "       12.       , 12.       , 12.       , 12.       , 12.       ,\n",
-       "       12.       , 12.001333 , 12.       , 12.       , 12.       ,\n",
-       "       12.       , 12.       , 12.024667 , 12.173999 , 12.199998 ,\n",
-       "       12.199998 , 12.199998 , 12.199998 , 12.199998 , 12.199998 ,\n",
-       "       12.199998 , 12.199998 , 12.199998 , 12.199998 , 12.199998 ,\n",
-       "       12.1119995, 12.       , 12.       , 12.       , 12.       ,\n",
-       "       12.       , 12.       , 12.       ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xmit_energy</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>244.0 244.0 244.0 ... 246.0 246.0</div><input id='attrs-2f827c3d-1b05-44f9-af16-7d6e6e5751ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f827c3d-1b05-44f9-af16-7d6e6e5751ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-205c009a-da96-4bd6-b2a8-2b72ee9626d5' class='xr-var-data-in' type='checkbox'><label for='data-205c009a-da96-4bd6-b2a8-2b72ee9626d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Sound Pressure Level of Acoustic Signal</dd></dl></div><div class='xr-var-data'><pre>array([244.04333, 243.96   , 244.04666, 244.12334, 244.30667, 244.32   ,\n",
-       "       244.04   , 243.95667, 243.72   , 243.45334, 243.46   , 243.49333,\n",
-       "       243.49667, 243.69667, 243.80333, 243.78334, 243.81667, 244.     ,\n",
-       "       244.27333, 244.39667, 244.58333, 244.73334, 244.95334, 245.     ,\n",
-       "       244.98334, 244.94   , 244.86333, 244.82666, 244.79333, 244.84666,\n",
-       "       244.76666, 244.73334, 244.82666, 244.75   , 244.86333, 244.83   ,\n",
-       "       244.84334, 244.91333, 244.96666, 245.08   , 245.25333, 245.30667,\n",
-       "       245.4    , 245.51   , 245.61333, 245.61   , 245.65666, 245.76666,\n",
-       "       245.73   , 245.79666, 245.83333, 245.85333, 245.81   , 245.85667,\n",
-       "       245.90334, 245.89333, 245.90666, 245.90334, 245.89333, 245.90666,\n",
-       "       245.93   , 245.91333, 245.91667, 245.92334, 245.92334, 245.92   ,\n",
-       "       245.96   , 245.95   , 245.94333, 245.96   , 245.94667, 245.97   ,\n",
-       "       245.95   , 245.93666, 245.93   , 245.95667, 245.94   , 245.95667,\n",
-       "       245.95   , 245.95334, 245.96666, 245.98   , 245.96666, 245.97   ,\n",
-       "       245.97   , 245.98   , 245.97333, 245.97   , 245.98666, 245.97667,\n",
-       "       245.97667, 245.98334, 245.97667, 245.99333, 245.97667, 245.98334,\n",
-       "       245.99667, 245.99667, 245.99   , 245.97333, 245.98334, 245.98666,\n",
-       "       245.97   , 245.99667, 245.98666, 245.98   , 245.85667, 245.44667,\n",
-       "       244.92334, 244.41667, 244.16333, 244.00667, 244.06   , 244.07333,\n",
-       "       243.87334, 243.77333, 243.75   , 243.69   , 243.76334, 243.79666,\n",
-       "       243.55   , 243.5    , 243.37666, 243.20334, 242.92334, 242.87666,\n",
-       "       242.83   , 242.83333, 243.07666, 243.41   , 243.88333, 244.20334,\n",
-       "       244.40334, 244.45334, 244.48666, 244.41   , 244.38   , 244.43333,\n",
-       "       244.6    , 244.72333, 244.90666, 244.9    , 244.97667, 245.03667,\n",
-       "       245.22667, 245.36   , 245.4    , 245.42   , 245.48334, 245.62666,\n",
-       "       245.67   , 245.71333, 245.75667, 245.77   , 245.84   , 245.87   ,\n",
-       "       245.87666, 245.89   , 245.87666, 245.94333, 245.93   , 245.91333,\n",
-       "       245.95667, 245.94   , 245.93   , 245.95667, 245.95   , 245.95334,\n",
-       "       245.94667, 245.96   , 245.96333, 245.97333, 245.96666, 245.96   ,\n",
-       "       245.97667, 245.99   , 245.98   , 245.98666, 245.98666, 245.98334,\n",
-       "       245.99   , 245.98334, 245.99   ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mag_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.589 3.576 3.611 ... -197.1 -197.1</div><input id='attrs-ae0eb9cf-4aef-4228-821f-8ce74f6dc8bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae0eb9cf-4aef-4228-821f-8ce74f6dc8bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9483a782-9e95-4403-9163-7f1a77ac2ebd' class='xr-var-data-in' type='checkbox'><label for='data-9483a782-9e95-4403-9163-7f1a77ac2ebd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>uT</dd><dt><span>long_name :</span></dt><dd>Compass</dd></dl></div><div class='xr-var-data'><pre>array([[ 3.5890043e+00,  3.5764265e+00,  3.6108000e+00,  3.5779481e+00,\n",
-       "         3.6116719e+00,  3.5757926e+00,  3.5947008e+00,  3.6243417e+00,\n",
-       "         3.6057498e+00,  3.5963907e+00,  3.5682683e+00,  3.5830538e+00,\n",
-       "         3.6165168e+00,  3.5789921e+00,  3.5747981e+00,  3.5690453e+00,\n",
-       "         3.5796013e+00,  3.6261466e+00,  3.6063533e+00,  3.6014795e+00,\n",
-       "         3.6353865e+00,  3.6033041e+00,  3.6023455e+00,  3.5552027e+00,\n",
-       "         3.5689840e+00,  3.5028169e+00,  3.5047083e+00,  3.5002160e+00,\n",
-       "         3.4591196e+00,  3.4518204e+00,  3.4781299e+00,  3.4272485e+00,\n",
-       "         3.4080899e+00,  3.4372404e+00,  3.4341383e+00,  3.3986638e+00,\n",
-       "         3.4168522e+00,  3.4093900e+00,  3.3794670e+00,  3.3934760e+00,\n",
-       "         3.4050257e+00,  3.4207287e+00,  3.3710022e+00,  3.3771679e+00,\n",
-       "         3.3508575e+00,  3.3733418e+00,  3.3524203e+00,  3.3316767e+00,\n",
-       "         3.3258898e+00,  3.3680136e+00,  3.2842207e+00,  3.1945534e+00,\n",
-       "         3.0031645e+00,  2.4369471e+00,  2.1365104e+00,  1.9519800e+00,\n",
-       "         1.7708881e+00,  1.6470156e+00,  1.5729071e+00,  1.4625059e+00,\n",
-       "         1.3881445e+00,  1.3379683e+00,  1.3052688e+00,  1.2468668e+00,\n",
-       "         1.2023062e+00,  1.1269653e+00,  1.1022494e+00,  1.0541168e+00,\n",
-       "         1.0267943e+00,  9.7805512e-01,  9.2956728e-01,  9.2703992e-01,\n",
-       "         9.1599506e-01,  8.9450091e-01,  8.5012424e-01,  8.2220656e-01,\n",
-       "         7.9883534e-01,  7.8205061e-01,  7.3997599e-01,  7.3860037e-01,\n",
-       "...\n",
-       "        -1.9736919e+02, -1.9725951e+02, -1.9730052e+02, -1.9728384e+02,\n",
-       "        -1.9724889e+02, -1.9722919e+02, -1.9715518e+02, -1.9727151e+02,\n",
-       "        -1.9724452e+02, -1.9721884e+02, -1.9717354e+02, -1.9723384e+02,\n",
-       "        -1.9719716e+02, -1.9714218e+02, -1.9723254e+02, -1.9710817e+02,\n",
-       "        -1.9708250e+02, -1.9709784e+02, -1.9708986e+02, -1.9712950e+02,\n",
-       "        -1.9721385e+02, -1.9720052e+02, -1.9717422e+02, -1.9710918e+02,\n",
-       "        -1.9715718e+02, -1.9714487e+02, -1.9715251e+02, -1.9714418e+02,\n",
-       "        -1.9714218e+02, -1.9706715e+02, -1.9705818e+02, -1.9705084e+02,\n",
-       "        -1.9708583e+02, -1.9708820e+02, -1.9714618e+02, -1.9709253e+02,\n",
-       "        -1.9707854e+02, -1.9714384e+02, -1.9717952e+02, -1.9718620e+02,\n",
-       "        -1.9718388e+02, -1.9716652e+02, -1.9712685e+02, -1.9720485e+02,\n",
-       "        -1.9718315e+02, -1.9713019e+02, -1.9714951e+02, -1.9724086e+02,\n",
-       "        -1.9716119e+02, -1.9719583e+02, -1.9724786e+02, -1.9716052e+02,\n",
-       "        -1.9725883e+02, -1.9720285e+02, -1.9717485e+02, -1.9725154e+02,\n",
-       "        -1.9714687e+02, -1.9711821e+02, -1.9714719e+02, -1.9711786e+02,\n",
-       "        -1.9714052e+02, -1.9714351e+02, -1.9715118e+02, -1.9712117e+02,\n",
-       "        -1.9710718e+02, -1.9718983e+02, -1.9715218e+02, -1.9712483e+02,\n",
-       "        -1.9706255e+02, -1.9714519e+02, -1.9712418e+02, -1.9705786e+02,\n",
-       "        -1.9708685e+02, -1.9711749e+02, -1.9707716e+02, -1.9707919e+02,\n",
-       "        -1.9719186e+02, -1.9713850e+02, -1.9714883e+02]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>accel_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.262 -1.263 -1.26 ... 9.714 9.713</div><input id='attrs-46b1204c-9611-4b1c-ac05-95b954782894' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46b1204c-9611-4b1c-ac05-95b954782894' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c86a487e-4d9c-46fd-ad8a-56fc4ee29a89' class='xr-var-data-in' type='checkbox'><label for='data-c86a487e-4d9c-46fd-ad8a-56fc4ee29a89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>m s-2</dd><dt><span>long_name :</span></dt><dd>Acceleration</dd></dl></div><div class='xr-var-data'><pre>array([[-1.2623771 , -1.2625197 , -1.2600151 , -1.2631888 , -1.2615377 ,\n",
-       "        -1.2616537 , -1.262574  , -1.2627327 , -1.2632962 , -1.2634871 ,\n",
-       "        -1.2617764 , -1.2599101 , -1.2592376 , -1.2577692 , -1.259011  ,\n",
-       "        -1.2584039 , -1.2585176 , -1.2577502 , -1.2569212 , -1.2552022 ,\n",
-       "        -1.2558354 , -1.2547812 , -1.2564313 , -1.2570257 , -1.2564919 ,\n",
-       "        -1.2552761 , -1.2551885 , -1.254373  , -1.2521615 , -1.253256  ,\n",
-       "        -1.2520183 , -1.2556639 , -1.2544196 , -1.2537049 , -1.2514051 ,\n",
-       "        -1.251719  , -1.2501887 , -1.2550075 , -1.2560523 , -1.2542702 ,\n",
-       "        -1.2513357 , -1.2537422 , -1.25587   , -1.2554086 , -1.2568508 ,\n",
-       "        -1.2513126 , -1.251984  , -1.2514541 , -1.2487588 , -1.249171  ,\n",
-       "        -1.2487395 , -1.2432916 , -1.2308283 , -1.2085198 , -1.1925628 ,\n",
-       "        -1.1850357 , -1.175814  , -1.1718632 , -1.1669031 , -1.1620393 ,\n",
-       "        -1.1585126 , -1.1573663 , -1.1550487 , -1.1537894 , -1.1520277 ,\n",
-       "        -1.1507337 , -1.1474868 , -1.1443372 , -1.1442864 , -1.1430473 ,\n",
-       "        -1.1418384 , -1.141045  , -1.1385593 , -1.1344901 , -1.134764  ,\n",
-       "        -1.1317551 , -1.1333026 , -1.1325271 , -1.1293766 , -1.1324316 ,\n",
-       "        -1.1310244 , -1.1295373 , -1.1287975 , -1.1317044 , -1.1290994 ,\n",
-       "        -1.1286312 , -1.1276112 , -1.1271322 , -1.128308  , -1.1257491 ,\n",
-       "        -1.1227695 , -1.1230273 , -1.119395  , -1.1190095 , -1.1182653 ,\n",
-       "        -1.1186818 , -1.1167871 , -1.1160123 , -1.1153725 , -1.1143075 ,\n",
-       "...\n",
-       "         9.716884  ,  9.718464  ,  9.717347  ,  9.717715  ,  9.714792  ,\n",
-       "         9.714857  ,  9.712732  ,  9.712222  ,  9.713994  ,  9.715383  ,\n",
-       "         9.71674   ,  9.716182  ,  9.717108  ,  9.716772  ,  9.715446  ,\n",
-       "         9.714425  ,  9.7126045 ,  9.713626  ,  9.7121105 ,  9.711023  ,\n",
-       "         9.711408  ,  9.709459  ,  9.712988  ,  9.7141695 ,  9.710418  ,\n",
-       "         9.713371  ,  9.713164  ,  9.711615  ,  9.713355  ,  9.714377  ,\n",
-       "         9.714473  ,  9.719391  ,  9.71805   ,  9.71583   ,  9.716421  ,\n",
-       "         9.71658   ,  9.71583   ,  9.71334   ,  9.7177305 ,  9.716677  ,\n",
-       "         9.71476   ,  9.716166  ,  9.713404  ,  9.715751  ,  9.715623  ,\n",
-       "         9.712237  ,  9.714856  ,  9.7166605 ,  9.713179  ,  9.7175865 ,\n",
-       "         9.710929  ,  9.71484   ,  9.715895  ,  9.712062  ,  9.71591   ,\n",
-       "         9.714346  ,  9.716932  ,  9.718177  ,  9.718816  ,  9.713802  ,\n",
-       "         9.717826  ,  9.715128  ,  9.711727  ,  9.713515  ,  9.718353  ,\n",
-       "         9.716836  ,  9.716278  ,  9.717762  ,  9.718656  ,  9.714761  ,\n",
-       "         9.713004  ,  9.710816  ,  9.71409   ,  9.716276  ,  9.713579  ,\n",
-       "         9.716166  ,  9.718401  ,  9.716804  ,  9.718209  ,  9.71428   ,\n",
-       "         9.714553  ,  9.715957  ,  9.7148075 ,  9.717874  ,  9.716309  ,\n",
-       "         9.715032  ,  9.7090435 ,  9.711168  ,  9.7130995 ,  9.713355  ,\n",
-       "         9.715256  ,  9.714936  ,  9.7148075 ,  9.711726  ,  9.711886  ,\n",
-       "         9.713675  ,  9.714042  ,  9.712781  ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>error_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-66d06c2c-bd2e-4996-b5b5-ba589e57b5fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66d06c2c-bd2e-4996-b5b5-ba589e57b5fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5ddc8ed-095e-4d98-b4e4-696af069547d' class='xr-var-data-in' type='checkbox'><label for='data-c5ddc8ed-095e-4d98-b4e4-696af069547d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Error Code</dd></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.054e+09 1.054e+09 ... 1.054e+09</div><input id='attrs-15c9c44d-d3c5-4a48-8ce4-6d873cffbb20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15c9c44d-d3c5-4a48-8ce4-6d873cffbb20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3efbacfb-7d62-4858-b87c-821787f8223e' class='xr-var-data-in' type='checkbox'><label for='data-3efbacfb-7d62-4858-b87c-821787f8223e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Status Code</dd></dl></div><div class='xr-var-data'><pre>array([1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355693e+09, 1.05355686e+09, 1.05355693e+09,\n",
-       "       1.05355699e+09, 1.05355686e+09, 1.05355699e+09, 1.05355699e+09,\n",
-       "       1.05355699e+09, 1.05355699e+09, 1.05355699e+09, 1.05355699e+09,\n",
-       "       1.05355699e+09, 1.05355699e+09, 1.05355699e+09, 1.05355699e+09,\n",
-       "       1.05355699e+09, 1.05355699e+09, 1.05355699e+09, 1.05355693e+09,\n",
-       "       1.05355693e+09, 1.05355693e+09, 1.05355693e+09, 1.05355693e+09,\n",
-       "       1.05355693e+09, 1.05355693e+09, 1.05355693e+09, 1.05355693e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355693e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355693e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "...\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
-       "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vel_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0006333 -0.004143 ... nan nan</div><input id='attrs-297b8fbf-740d-4abd-9031-0598d65507a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-297b8fbf-740d-4abd-9031-0598d65507a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a67f119-6cdb-46e7-a66e-d907e680773a' class='xr-var-data-in' type='checkbox'><label for='data-2a67f119-6cdb-46e7-a66e-d907e680773a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Water Velocity</dd><dt><span>Comments :</span></dt><dd>Filtered of data with a correlation value below 50%</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.00063333, -0.00414333, -0.00776667, ..., -0.01952   ,\n",
-       "        -0.02035667, -0.01573333],\n",
-       "       [ 0.02268667,  0.01564333,  0.01504   , ..., -0.00309667,\n",
-       "        -0.00658667, -0.00238   ],\n",
-       "       [ 0.02739334,  0.01897667,  0.01496333, ...,  0.00196667,\n",
-       "        -0.00096667,  0.00083946],\n",
-       "       ...,\n",
-       "       [        nan,         nan,         nan, ...,         nan,\n",
-       "                nan,         nan],\n",
-       "       [        nan,         nan,         nan, ...,         nan,\n",
-       "                nan,         nan],\n",
-       "       [        nan,         nan,         nan, ...,         nan,\n",
-       "                nan,         nan]], shape=(28, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>amp_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>80.08 80.44 80.75 ... nan nan nan</div><input id='attrs-538241e5-a10c-4c59-8268-c21f482db45c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-538241e5-a10c-4c59-8268-c21f482db45c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5027d2b2-8a7b-431b-9ba2-4cefabf900e8' class='xr-var-data-in' type='checkbox'><label for='data-5027d2b2-8a7b-431b-9ba2-4cefabf900e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Amplitude</dd><dt><span>standard_name :</span></dt><dd>signal_intensity_from_multibeam_acoustic_doppler_velocity_sensor_in_sea_water</dd><dt><span>Comments :</span></dt><dd>Filtered of data with a correlation value below 50%</dd></dl></div><div class='xr-var-data'><pre>array([[80.085   , 80.43833 , 80.75166 , ..., 81.761665, 81.86    ,\n",
-       "        81.745   ],\n",
-       "       [76.05    , 76.60333 , 77.066666, ..., 78.23    , 78.21667 ,\n",
-       "        78.045   ],\n",
-       "       [73.58833 , 74.355   , 75.083336, ..., 75.265   , 75.098335,\n",
-       "        74.92976 ],\n",
-       "       ...,\n",
-       "       [      nan,       nan,       nan, ...,       nan,       nan,\n",
-       "              nan],\n",
-       "       [      nan,       nan,       nan, ...,       nan,       nan,\n",
-       "              nan],\n",
-       "       [      nan,       nan,       nan, ...,       nan,       nan,\n",
-       "              nan]], shape=(28, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>corr_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>93.52 94.19 93.97 ... 0.0 0.0 0.0</div><input id='attrs-a65f35cd-777d-4e00-b3a4-2b3b223bfae8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a65f35cd-777d-4e00-b3a4-2b3b223bfae8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f69b5dac-a215-4e37-a4cc-a214d0c865c6' class='xr-var-data-in' type='checkbox'><label for='data-f69b5dac-a215-4e37-a4cc-a214d0c865c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Correlation</dd><dt><span>standard_name :</span></dt><dd>beam_consistency_indicator_from_multibeam_acoustic_doppler_velocity_profiler_in_sea_water</dd><dt><span>Comments :</span></dt><dd>Filtered of data with a correlation value below 50%</dd></dl></div><div class='xr-var-data'><pre>array([[93.51667 , 94.18667 , 93.97    , ..., 92.276665, 92.09    ,\n",
-       "        92.61667 ],\n",
-       "       [96.75    , 96.403336, 96.32    , ..., 96.433334, 96.89    ,\n",
-       "        96.57667 ],\n",
-       "       [97.19    , 97.32333 , 97.136665, ..., 96.08667 , 97.16    ,\n",
-       "        96.96667 ],\n",
-       "       ...,\n",
-       "       [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
-       "         0.      ],\n",
-       "       [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
-       "         0.      ],\n",
-       "       [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
-       "         0.      ]], shape=(28, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientmat_b5</span></div><div class='xr-var-dims'>(earth, inst, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.2166 -0.217 ... 0.9937 0.9937</div><input id='attrs-4bec0e51-ca20-4b23-9298-9aa49c02fed7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4bec0e51-ca20-4b23-9298-9aa49c02fed7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd70347f-70ee-4b01-9d6c-7d045c455cb2' class='xr-var-data-in' type='checkbox'><label for='data-cd70347f-70ee-4b01-9d6c-7d045c455cb2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Orientation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[[-2.16565624e-01, -2.17020363e-01, -2.15714216e-01, ...,\n",
-       "         -2.15817824e-01, -2.15457186e-01, -2.15469748e-01],\n",
-       "        [-9.68014121e-01, -9.67880666e-01, -9.68221545e-01, ...,\n",
-       "         -9.70180333e-01, -9.70283389e-01, -9.70276892e-01],\n",
-       "        [-1.26286745e-01, -1.26509830e-01, -1.26157105e-01, ...,\n",
-       "         -1.09885700e-01, -1.09676003e-01, -1.09719723e-01]],\n",
-       "\n",
-       "       [[ 9.76216435e-01,  9.76112664e-01,  9.76405323e-01, ...,\n",
-       "          9.76383269e-01,  9.76462007e-01,  9.76460576e-01],\n",
-       "        [-2.14884892e-01, -2.15368673e-01, -2.14055121e-01, ...,\n",
-       "         -2.14541376e-01, -2.14190111e-01, -2.14200497e-01],\n",
-       "        [-2.69518793e-02, -2.67608669e-02, -2.67287735e-02, ...,\n",
-       "         -2.34543420e-02, -2.33496260e-02, -2.33698264e-02]],\n",
-       "\n",
-       "       [[-1.05265796e-03, -1.35056104e-03, -1.13043608e-03, ...,\n",
-       "         -8.24717747e-04, -8.40478169e-04, -8.31306970e-04],\n",
-       "        [-1.29126370e-01, -1.29302278e-01, -1.28952518e-01, ...,\n",
-       "         -1.12357967e-01, -1.12130813e-01, -1.12177916e-01],\n",
-       "        [ 9.91627216e-01,  9.91603792e-01,  9.91649806e-01, ...,\n",
-       "          9.93667185e-01,  9.93692756e-01,  9.93687451e-01]]],\n",
-       "      shape=(3, 3, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angrt_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0008123 0.0008472 ... -0.002637</div><input id='attrs-bc7b5757-d49e-4310-8739-c8fe662b1c7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc7b5757-d49e-4310-8739-c8fe662b1c7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fa91cc2-2039-4555-a442-bb831c9e93b0' class='xr-var-data-in' type='checkbox'><label for='data-7fa91cc2-2039-4555-a442-bb831c9e93b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>rad s-1</dd><dt><span>long_name :</span></dt><dd>Angular Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.00081228,  0.00084717,  0.00085335,  0.00075436,  0.00084513,\n",
-       "         0.00085451,  0.00073719,  0.00067843,  0.00075248,  0.00074199,\n",
-       "         0.00070569,  0.00065896,  0.0006914 ,  0.00069842,  0.00074138,\n",
-       "         0.0006676 ,  0.00060215,  0.00059847,  0.0006675 ,  0.0006136 ,\n",
-       "         0.00056599,  0.00061758,  0.00068752,  0.00066373,  0.00073918,\n",
-       "         0.00085721,  0.00084523,  0.0009018 ,  0.00089635,  0.00084324,\n",
-       "         0.00086276,  0.00089614,  0.00096862,  0.00108153,  0.00095481,\n",
-       "         0.00098828,  0.00098117,  0.00097845,  0.00099421,  0.00095727,\n",
-       "         0.00108126,  0.00108415,  0.00096381,  0.00100037,  0.00098756,\n",
-       "         0.00103554,  0.00096841,  0.00107755,  0.00104051,  0.0009601 ,\n",
-       "         0.00106976,  0.0010707 ,  0.00102194,  0.0009954 ,  0.00100513,\n",
-       "         0.0010245 ,  0.00102471,  0.00096594,  0.0010335 ,  0.00105437,\n",
-       "         0.00105971,  0.00095506,  0.00102042,  0.00097918,  0.00088768,\n",
-       "         0.0009018 ,  0.00096684,  0.00101125,  0.00096008,  0.0008592 ,\n",
-       "         0.00082965,  0.00095935,  0.00094485,  0.00081024,  0.00092011,\n",
-       "         0.00098175,  0.00094213,  0.00095046,  0.00099598,  0.00104662,\n",
-       "         0.00101681,  0.0010222 ,  0.00099111,  0.001044  ,  0.00103549,\n",
-       "         0.00097536,  0.00099907,  0.00097684,  0.00104176,  0.00094763,\n",
-       "         0.0009761 ,  0.00097227,  0.00089143,  0.00096118,  0.00097306,\n",
-       "         0.00096506,  0.00094653,  0.00092565,  0.00091383,  0.0009503 ,\n",
-       "...\n",
-       "        -0.00262043, -0.00258136, -0.00261717, -0.00257811, -0.00261066,\n",
-       "        -0.00255532, -0.00266274, -0.00254881, -0.00255858, -0.00259764,\n",
-       "        -0.00258462, -0.00252602, -0.00258787, -0.00256183, -0.00260415,\n",
-       "        -0.00251626, -0.00250975, -0.00243488, -0.00254881, -0.00264321,\n",
-       "        -0.00260089, -0.00263996, -0.0026367 , -0.00271157, -0.00256183,\n",
-       "        -0.00271808, -0.00277993, -0.00284178, -0.00276365, -0.00277016,\n",
-       "        -0.00279946, -0.00295896, -0.00294594, -0.00302732, -0.00302407,\n",
-       "        -0.00301756, -0.00298501, -0.00291339, -0.00296548, -0.00294269,\n",
-       "        -0.00311196, -0.00294594, -0.0030143 , -0.00297198, -0.00296873,\n",
-       "        -0.002985  , -0.0030729 , -0.0030143 , -0.00306638, -0.00288084,\n",
-       "        -0.00289386, -0.00281899, -0.00278644, -0.0028255 , -0.00276365,\n",
-       "        -0.00277993, -0.002666  , -0.00267576, -0.002666  , -0.00268227,\n",
-       "        -0.00268878, -0.00263019, -0.00254881, -0.00262368, -0.00263019,\n",
-       "        -0.00260415, -0.00257811, -0.0026074 , -0.00249673, -0.00254881,\n",
-       "        -0.00258787, -0.00263019, -0.00255532, -0.00269204, -0.00258136,\n",
-       "        -0.00259113, -0.00272133, -0.00258462, -0.00263019, -0.00261066,\n",
-       "        -0.00265949, -0.00270831, -0.00258787, -0.0025423 , -0.00262368,\n",
-       "        -0.00264647, -0.00268879, -0.00251626, -0.00256183, -0.00255207,\n",
-       "        -0.00251626, -0.00251626, -0.00249998, -0.00248371, -0.0024479 ,\n",
-       "        -0.00254881, -0.00254881, -0.0026367 ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quaternions_b5</span></div><div class='xr-var-dims'>(q, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.6245 0.6243 ... 0.7784 0.7784</div><input id='attrs-249663e1-6f7d-4320-b41d-dd342f1539e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-249663e1-6f7d-4320-b41d-dd342f1539e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62887a06-1b0e-4cba-a74c-c54451e0a3d8' class='xr-var-data-in' type='checkbox'><label for='data-62887a06-1b0e-4cba-a74c-c54451e0a3d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Quaternions</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.6245025 ,  0.62430865,  0.62484366,  0.62450564,  0.624701  ,\n",
-       "         0.62466866,  0.62460196,  0.6247584 ,  0.62459546,  0.62464297,\n",
-       "         0.6246826 ,  0.62496835,  0.6249581 ,  0.6250585 ,  0.62494546,\n",
-       "         0.6250052 ,  0.62508506,  0.62507963,  0.6253132 ,  0.6254015 ,\n",
-       "         0.6253524 ,  0.6254653 ,  0.62515104,  0.62495625,  0.62512195,\n",
-       "         0.6251015 ,  0.624793  ,  0.6250713 ,  0.6249948 ,  0.62489176,\n",
-       "         0.6248301 ,  0.62451917,  0.6248372 ,  0.62479085,  0.62502736,\n",
-       "         0.6249378 ,  0.62497205,  0.62445515,  0.62417245,  0.6244453 ,\n",
-       "         0.6248608 ,  0.62453014,  0.62416404,  0.6242139 ,  0.62425303,\n",
-       "         0.62470126,  0.6248098 ,  0.62460905,  0.62480783,  0.6246901 ,\n",
-       "         0.6245936 ,  0.6248162 ,  0.624754  ,  0.62437105,  0.62430066,\n",
-       "         0.6244233 ,  0.6243633 ,  0.62407166,  0.6241861 ,  0.6241456 ,\n",
-       "         0.6239719 ,  0.62391376,  0.62415487,  0.6238682 ,  0.6239241 ,\n",
-       "         0.62390107,  0.6236789 ,  0.6237806 ,  0.6236614 ,  0.62358916,\n",
-       "         0.6236376 ,  0.62371755,  0.6237382 ,  0.6238726 ,  0.6240171 ,\n",
-       "         0.6239264 ,  0.623931  ,  0.6237308 ,  0.62395936,  0.6234018 ,\n",
-       "         0.6237265 ,  0.6237913 ,  0.6235492 ,  0.62318647,  0.62349266,\n",
-       "         0.62327045,  0.6232548 ,  0.6233126 ,  0.6232084 ,  0.6232786 ,\n",
-       "         0.62339824,  0.62359285,  0.6235284 ,  0.6235471 ,  0.6234016 ,\n",
-       "         0.6233313 ,  0.6232729 ,  0.6232614 ,  0.62335205,  0.6232998 ,\n",
-       "...\n",
-       "         0.7798304 ,  0.77984285,  0.7798039 ,  0.7798881 ,  0.77983624,\n",
-       "         0.779747  ,  0.7796003 ,  0.7796562 ,  0.77964693,  0.77976   ,\n",
-       "         0.77982175,  0.77987325,  0.7798803 ,  0.77981853,  0.7798599 ,\n",
-       "         0.77976817,  0.7797355 ,  0.7797223 ,  0.77958274,  0.7794968 ,\n",
-       "         0.77951866,  0.7793451 ,  0.77977306,  0.7798404 ,  0.7796792 ,\n",
-       "         0.77951556,  0.7797541 ,  0.7796244 ,  0.77954704,  0.779882  ,\n",
-       "         0.7796897 ,  0.78009367,  0.77984214,  0.77977324,  0.77981466,\n",
-       "         0.77967215,  0.77980614,  0.7795769 ,  0.77972573,  0.77955645,\n",
-       "         0.7796588 ,  0.77955323,  0.7795721 ,  0.7795167 ,  0.7794243 ,\n",
-       "         0.77918714,  0.77930677,  0.7793621 ,  0.77909505,  0.7792217 ,\n",
-       "         0.7788761 ,  0.7790808 ,  0.7791028 ,  0.7788446 ,  0.7789332 ,\n",
-       "         0.7788981 ,  0.7789904 ,  0.779241  ,  0.7791693 ,  0.77889454,\n",
-       "         0.7789502 ,  0.77890694,  0.7785553 ,  0.77865255,  0.7788394 ,\n",
-       "         0.7787025 ,  0.7788493 ,  0.77891165,  0.7789452 ,  0.77867603,\n",
-       "         0.7785905 ,  0.7783878 ,  0.77855736,  0.778772  ,  0.7786441 ,\n",
-       "         0.77870494,  0.77878624,  0.77881914,  0.77884936,  0.77857053,\n",
-       "         0.77855694,  0.778695  ,  0.77849764,  0.7787041 ,  0.77873075,\n",
-       "         0.7786052 ,  0.7784392 ,  0.7783923 ,  0.77855927,  0.77852917,\n",
-       "         0.7785722 ,  0.77847767,  0.77844226,  0.77829295,  0.7782816 ,\n",
-       "         0.77846414,  0.778354  ,  0.77835685]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xmit_energy_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>65.0 65.0 65.0 ... 65.0 65.0 65.0</div><input id='attrs-a7e823ec-24f5-4377-8a95-1a95da2b173e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7e823ec-24f5-4377-8a95-1a95da2b173e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92536e33-550f-4745-bbf1-ee46c2c42b1b' class='xr-var-data-in' type='checkbox'><label for='data-92536e33-550f-4745-bbf1-ee46c2c42b1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Sound Pressure Level of Acoustic Signal</dd></dl></div><div class='xr-var-data'><pre>array([65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
-       "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
-       "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
-       "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
-       "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
-       "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
-       "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
-       "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
-       "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
-       "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
-       "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
-       "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
-       "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
-       "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
-       "       65.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>low_volt_skip</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-611825d7-5271-4d27-a72d-ff4b5e390601' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-611825d7-5271-4d27-a72d-ff4b5e390601' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b3bd447-85f3-4be3-84d1-3031537131a9' class='xr-var-data-in' type='checkbox'><label for='data-6b3bd447-85f3-4be3-84d1-3031537131a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>active_config</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-4448bbd9-b593-40b2-b58c-072b98492615' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4448bbd9-b593-40b2-b58c-072b98492615' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-673aba38-c31c-4c3c-9918-8990d37228a2' class='xr-var-data-in' type='checkbox'><label for='data-673aba38-c31c-4c3c-9918-8990d37228a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>telemetry_data</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-ff482eee-9029-43c4-93f5-66e8228b90cc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ff482eee-9029-43c4-93f5-66e8228b90cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31618f71-8540-44d9-85ff-e6866de2fed7' class='xr-var-data-in' type='checkbox'><label for='data-31618f71-8540-44d9-85ff-e6866de2fed7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>boost_running</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.1267 0.1333 0.13 ... 0.22 0.22</div><input id='attrs-b3c849c7-37f8-4509-bd76-c64ecac873aa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b3c849c7-37f8-4509-bd76-c64ecac873aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3a64d6c-df81-491b-a306-b02af38afc75' class='xr-var-data-in' type='checkbox'><label for='data-d3a64d6c-df81-491b-a306-b02af38afc75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.12666667, 0.13333334, 0.13      , 0.13333334, 0.13      ,\n",
-       "       0.13      , 0.13      , 0.11666667, 0.12333333, 0.11666667,\n",
-       "       0.11333334, 0.11      , 0.11      , 0.11333334, 0.11666667,\n",
-       "       0.11      , 0.11333334, 0.11333334, 0.11333334, 0.12333333,\n",
-       "       0.12      , 0.12333333, 0.12      , 0.11      , 0.11      ,\n",
-       "       0.11666667, 0.11333334, 0.11      , 0.11      , 0.11333334,\n",
-       "       0.11      , 0.11      , 0.11333334, 0.11      , 0.11      ,\n",
-       "       0.11333334, 0.11      , 0.11      , 0.11333334, 0.11333334,\n",
-       "       0.12      , 0.11666667, 0.11666667, 0.11666667, 0.11333334,\n",
-       "       0.12      , 0.11666667, 0.11      , 0.12333333, 0.13333334,\n",
-       "       0.13333334, 0.13      , 0.13333334, 0.12666667, 0.13333334,\n",
-       "       0.13      , 0.13      , 0.15333334, 0.13333334, 0.15333334,\n",
-       "       0.14333333, 0.13666667, 0.11666667, 0.13666667, 0.13333334,\n",
-       "       0.13666667, 0.14666666, 0.14      , 0.15666667, 0.13333334,\n",
-       "       0.13333334, 0.15      , 0.15      , 0.12666667, 0.13666667,\n",
-       "       0.15      , 0.13      , 0.13666667, 0.13      , 0.13666667,\n",
-       "       0.13666667, 0.14333333, 0.13666667, 0.12666667, 0.13666667,\n",
-       "       0.12333333, 0.12333333, 0.13333334, 0.12      , 0.11666667,\n",
-       "       0.11      , 0.11      , 0.11666667, 0.12333333, 0.11      ,\n",
-       "       0.11      , 0.11333334, 0.11      , 0.11      , 0.11333334,\n",
-       "       0.11      , 0.11      , 0.11333334, 0.11      , 0.11      ,\n",
-       "       0.11333334, 0.11      , 0.11      , 0.11333334, 0.11      ,\n",
-       "       0.11      , 0.11333334, 0.11      , 0.11      , 0.11333334,\n",
-       "       0.11      , 0.11      , 0.11333334, 0.11      , 0.11      ,\n",
-       "       0.11333334, 0.11      , 0.11      , 0.11333334, 0.11      ,\n",
-       "       0.11      , 0.11333334, 0.11      , 0.11      , 0.11333334,\n",
-       "       0.11      , 0.11      , 0.11333334, 0.11      , 0.11      ,\n",
-       "       0.11333334, 0.11      , 0.11      , 0.11333334, 0.11      ,\n",
-       "       0.11      , 0.11333334, 0.11      , 0.11      , 0.11333334,\n",
-       "       0.11      , 0.11      , 0.11333334, 0.11      , 0.11      ,\n",
-       "       0.11333334, 0.11      , 0.11      , 0.11333334, 0.11      ,\n",
-       "       0.11      , 0.11333334, 0.11      , 0.11      , 0.11333334,\n",
-       "       0.11      , 0.20333333, 0.22666667, 0.22      , 0.22      ,\n",
-       "       0.22666667, 0.22      , 0.22      , 0.22666667, 0.22      ,\n",
-       "       0.22      , 0.22666667, 0.22      , 0.22      , 0.22666667,\n",
-       "       0.22      , 0.22      , 0.22666667, 0.22      , 0.22      ,\n",
-       "       0.22666667, 0.22      , 0.22      ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heading</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.287 3.261 3.337 ... 3.352 3.352</div><input id='attrs-b8a3d627-053f-4298-ac79-4a0c3c3d1f55' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8a3d627-053f-4298-ac79-4a0c3c3d1f55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25036bcc-c32c-45ef-8197-8c0061ffc31e' class='xr-var-data-in' type='checkbox'><label for='data-25036bcc-c32c-45ef-8197-8c0061ffc31e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Heading</dd><dt><span>standard_name :</span></dt><dd>platform_orientation</dd></dl></div><div class='xr-var-data'><pre>array([3.287083 , 3.2605155, 3.3369133, 3.2892823, 3.3165808, 3.3119812,\n",
-       "       3.3027983, 3.3258302, 3.3029814, 3.3100154, 3.3152144, 3.3549793,\n",
-       "       3.3538957, 3.3682969, 3.3522127, 3.3599124, 3.3716784, 3.370829 ,\n",
-       "       3.404896 , 3.4170458, 3.4101129, 3.4259632, 3.3813803, 3.352863 ,\n",
-       "       3.3772287, 3.3739138, 3.3298807, 3.368963 , 3.357279 , 3.3420138,\n",
-       "       3.3332636, 3.2887158, 3.3332634, 3.3267972, 3.3609293, 3.34788  ,\n",
-       "       3.3524635, 3.2797818, 3.2383478, 3.2774158, 3.3357968, 3.2894654,\n",
-       "       3.237099 , 3.2444148, 3.250231 , 3.3133483, 3.3285973, 3.3003979,\n",
-       "       3.3281136, 3.3106983, 3.2960656, 3.3239977, 3.3058155, 3.231132 ,\n",
-       "       3.2188826, 3.2362165, 3.2269833, 3.1857452, 3.2025456, 3.1971133,\n",
-       "       3.1716278, 3.1624265, 3.196963 , 3.1550453, 3.162944 , 3.158162 ,\n",
-       "       3.1250577, 3.1385927, 3.1210082, 3.1101758, 3.116926 , 3.1283762,\n",
-       "       3.1307604, 3.149876 , 3.1709106, 3.1579425, 3.157861 , 3.1293783,\n",
-       "       3.1623626, 3.0823452, 3.1290247, 3.1371257, 3.103561 , 3.0512455,\n",
-       "       3.0958426, 3.0634787, 3.061212 , 3.0691292, 3.0543785, 3.0647104,\n",
-       "       3.0809944, 3.1082118, 3.099077 , 3.1025605, 3.0808105, 3.070144 ,\n",
-       "       3.061945 , 3.0596778, 3.0728438, 3.0654464, 3.082978 , 3.0888774,\n",
-       "       3.090909 , 3.1166098, 3.1326916, 3.1294093, 3.1606429, 3.0821111,\n",
-       "       3.0704782, 3.099461 , 3.1288106, 3.0858114, 3.1094916, 3.1244771,\n",
-       "       3.0631604, 3.098195 , 3.0228472, 3.0709112, 3.0849445, 3.0772102,\n",
-       "       3.10411  , 3.0789108, 3.122175 , 3.0939767, 3.126108 , 3.1068432,\n",
-       "       3.1269426, 3.124676 , 3.133493 , 3.1521947, 3.1957629, 3.174427 ,\n",
-       "       3.1647441, 3.2137322, 3.1900635, 3.2544334, 3.2174487, 3.2122307,\n",
-       "       3.2605999, 3.244882 , 3.2509172, 3.234432 , 3.1874464, 3.200428 ,\n",
-       "       3.251467 , 3.2418153, 3.24985  , 3.3141315, 3.2959988, 3.2620163,\n",
-       "       3.2882996, 3.2601004, 3.2490656, 3.242116 , 3.2917488, 3.306215 ,\n",
-       "       3.3455298, 3.3139143, 3.274265 , 3.2986312, 3.2870982, 3.271833 ,\n",
-       "       3.2660322, 3.2617817, 3.3116815, 3.314548 , 3.289132 , 3.3249977,\n",
-       "       3.287216 , 3.282166 , 3.306248 , 3.3363798, 3.3452635, 3.314365 ,\n",
-       "       3.3198478, 3.3122149, 3.3298814, 3.3361466, 3.3632295, 3.3652124,\n",
-       "       3.331114 , 3.352297 , 3.351696 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pitch</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.05523 -0.07217 ... -0.0429</div><input id='attrs-f62001ed-6467-4693-967f-e4902c176c26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f62001ed-6467-4693-967f-e4902c176c26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5929ec33-17f1-4434-97f7-63721111aae1' class='xr-var-data-in' type='checkbox'><label for='data-5929ec33-17f1-4434-97f7-63721111aae1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Pitch</dd><dt><span>standard_name :</span></dt><dd>platform_pitch</dd></dl></div><div class='xr-var-data'><pre>array([-0.05523333, -0.07216667, -0.05975001, -0.0719    , -0.06111666,\n",
-       "       -0.05995   , -0.07213333, -0.07148333, -0.07696667, -0.08181667,\n",
-       "       -0.0731    , -0.0579    , -0.05488333, -0.05605   , -0.05533333,\n",
-       "       -0.05278333, -0.047     , -0.0521    , -0.05088333, -0.04305   ,\n",
-       "       -0.04223333, -0.0388    , -0.05338333, -0.0568    , -0.0611    ,\n",
-       "       -0.0627    , -0.07021666, -0.05368333, -0.0487    , -0.0493    ,\n",
-       "       -0.05311666, -0.06443334, -0.04586667, -0.04441666, -0.04498333,\n",
-       "       -0.03575   , -0.03521667, -0.07056666, -0.07609999, -0.0662    ,\n",
-       "       -0.04191666, -0.06681666, -0.06818333, -0.07636666, -0.07111666,\n",
-       "       -0.05511666, -0.0493    , -0.05571667, -0.04891667, -0.04571667,\n",
-       "       -0.04198333, -0.00336667,  0.08048334,  0.25323334,  0.22161667,\n",
-       "        0.19196668,  0.15959999,  0.11676668,  0.09488333,  0.07456666,\n",
-       "        0.05981667,  0.06043334,  0.06175001,  0.05643333,  0.04858334,\n",
-       "        0.06248334,  0.06495   ,  0.07498333,  0.06741667,  0.07038333,\n",
-       "        0.06546666,  0.06541666,  0.06608333,  0.07325   ,  0.0566    ,\n",
-       "        0.054     ,  0.061     ,  0.0511    ,  0.05655   ,  0.02896667,\n",
-       "        0.02978333,  0.04755   ,  0.01526667,  0.00998333,  0.0108    ,\n",
-       "        0.00458333,  0.00831667,  0.00378333, -0.00401667, -0.00796667,\n",
-       "        0.00555   ,  0.01133333,  0.00541667, -0.0047    , -0.0019    ,\n",
-       "       -0.00158333, -0.01193333, -0.00146667, -0.00791667, -0.00841667,\n",
-       "       -0.00898333, -0.00903333, -0.002     ,  0.00205   ,  0.00393333,\n",
-       "       -0.00233333,  0.01098333, -0.01495   , -0.01253333,  0.0059    ,\n",
-       "        0.01675   , -0.0048    ,  0.00353333,  0.00155   , -0.01018333,\n",
-       "        0.00053333, -0.0111    , -0.01913333, -0.02155   , -0.02396666,\n",
-       "       -0.01793333, -0.02523333, -0.0194    , -0.02291666, -0.02203333,\n",
-       "       -0.0282    , -0.02571667, -0.03851666, -0.0208    , -0.03573333,\n",
-       "       -0.02388333, -0.03908334, -0.04381667, -0.031     , -0.04036666,\n",
-       "       -0.02826666, -0.04583333, -0.0394    , -0.03658333, -0.04336667,\n",
-       "       -0.04073333, -0.05656667, -0.0553    , -0.05688334, -0.04293333,\n",
-       "       -0.05556666, -0.05011667, -0.02433333, -0.03963333, -0.04716667,\n",
-       "       -0.05826667, -0.05943333, -0.06553333, -0.04911667, -0.04304999,\n",
-       "       -0.023     , -0.03935   , -0.03393333, -0.04798333, -0.05141667,\n",
-       "       -0.04823333, -0.05695   , -0.05431667, -0.07600001, -0.0419    ,\n",
-       "       -0.04428333, -0.05206667, -0.04676667, -0.05188334, -0.0574    ,\n",
-       "       -0.06316667, -0.0484    , -0.04308333, -0.04601667, -0.0499    ,\n",
-       "       -0.05471666, -0.05536667, -0.04616667, -0.02825   , -0.03388334,\n",
-       "       -0.0423    , -0.04288333, -0.0429    ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>roll</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.414 -7.424 ... -6.433 -6.436</div><input id='attrs-0629cd39-673d-4d21-998a-2ab00fc8783c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0629cd39-673d-4d21-998a-2ab00fc8783c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94dd308d-41fb-47db-887f-d873e67e2fa4' class='xr-var-data-in' type='checkbox'><label for='data-94dd308d-41fb-47db-887f-d873e67e2fa4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Roll</dd><dt><span>standard_name :</span></dt><dd>platform_roll</dd></dl></div><div class='xr-var-data'><pre>array([-7.414066 , -7.424116 , -7.4041324, -7.422417 , -7.4120665,\n",
-       "       -7.4167333, -7.4193   , -7.4148664, -7.4301662, -7.419133 ,\n",
-       "       -7.4179006, -7.402567 , -7.4040666, -7.394583 , -7.403933 ,\n",
-       "       -7.394567 , -7.39615  , -7.3910007, -7.386317 , -7.3802505,\n",
-       "       -7.3838835, -7.3748665, -7.3916   , -7.391783 , -7.3853164,\n",
-       "       -7.377949 , -7.3945003, -7.3738666, -7.373867 , -7.369084 ,\n",
-       "       -7.372767 , -7.3854327, -7.3678336, -7.3722672, -7.3625836,\n",
-       "       -7.3666334, -7.360083 , -7.3809   , -7.3875995, -7.3742666,\n",
-       "       -7.3516665, -7.369966 , -7.387017 , -7.386867 , -7.379284 ,\n",
-       "       -7.361167 , -7.3493667, -7.3615665, -7.344417 , -7.350366 ,\n",
-       "       -7.3399496, -7.300467 , -7.236433 , -7.0768504, -6.997516 ,\n",
-       "       -6.949867 , -6.899017 , -6.8814178, -6.8526497, -6.8263836,\n",
-       "       -6.813383 , -6.8076496, -6.78375  , -6.781251 , -6.7671165,\n",
-       "       -6.7577667, -6.7516494, -6.728033 , -6.72715  , -6.716767 ,\n",
-       "       -6.708234 , -6.69495  , -6.6866503, -6.6791   , -6.6603007,\n",
-       "       -6.659384 , -6.6542172, -6.659967 , -6.6461835, -6.667401 ,\n",
-       "       -6.6473837, -6.6366506, -6.6365337, -6.649917 , -6.6360173,\n",
-       "       -6.638784 , -6.6400666, -6.62885  , -6.628683 , -6.617567 ,\n",
-       "       -6.6096334, -6.59625  , -6.589217 , -6.5807333, -6.5850334,\n",
-       "       -6.5764165, -6.5684667, -6.5721836, -6.55585  , -6.5561   ,\n",
-       "       -6.5420327, -6.5459166, -6.5430665, -6.5388503, -6.5341506,\n",
-       "       -6.5321503, -6.52225  , -6.539833 , -6.5372   , -6.528584 ,\n",
-       "       -6.5262337, -6.5375338, -6.5275497, -6.51875  , -6.5324664,\n",
-       "       -6.525267 , -6.548233 , -6.5326   , -6.5178337, -6.5193667,\n",
-       "       -6.505567 , -6.5125165, -6.4989333, -6.508083 , -6.49675  ,\n",
-       "       -6.50315  , -6.4925   , -6.485383 , -6.492067 , -6.4811997,\n",
-       "       -6.4708   , -6.4739504, -6.472566 , -6.4622664, -6.4698668,\n",
-       "       -6.4504333, -6.4621997, -6.4667   , -6.45215  , -6.4554167,\n",
-       "       -6.454716 , -6.461316 , -6.4738665, -6.473217 , -6.458534 ,\n",
-       "       -6.46535  , -6.4565167, -6.4414663, -6.4526324, -6.4590497,\n",
-       "       -6.4487834, -6.4628167, -6.46505  , -6.4660163, -6.4543834,\n",
-       "       -6.4556837, -6.4339333, -6.443283 , -6.4565334, -6.4484835,\n",
-       "       -6.4508667, -6.4604836, -6.4581666, -6.4554834, -6.4470496,\n",
-       "       -6.4438   , -6.450166 , -6.4428334, -6.45625  , -6.455867 ,\n",
-       "       -6.44465  , -6.436783 , -6.430967 , -6.4454665, -6.441799 ,\n",
-       "       -6.4480996, -6.4399   , -6.4372997, -6.4309335, -6.4305167,\n",
-       "       -6.4460497, -6.4332495, -6.4359174], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_density</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.023e+03 1.023e+03 ... 1.023e+03</div><input id='attrs-f29e11ee-40ef-48ea-8152-093e958ca80e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f29e11ee-40ef-48ea-8152-093e958ca80e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a43a2aeb-935a-406f-843a-629a2e3b816f' class='xr-var-data-in' type='checkbox'><label for='data-a43a2aeb-935a-406f-843a-629a2e3b816f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-3</dd><dt><span>long_name :</span></dt><dd>Water Density</dd><dt><span>standard_name :</span></dt><dd>sea_water_density</dd><dt><span>description :</span></dt><dd>Water density from linear approximation of sea water equation of state</dd></dl></div><div class='xr-var-data'><pre>array([1023.2506 , 1023.2348 , 1023.2431 , 1023.2559 , 1023.2423 ,\n",
-       "       1023.21655, 1023.1977 , 1023.2015 , 1023.19476, 1023.19116,\n",
-       "       1023.194  , 1023.1996 , 1023.20294, 1023.19666, 1023.19336,\n",
-       "       1023.19763, 1023.205  , 1023.20404, 1023.2148 , 1023.2179 ,\n",
-       "       1023.23627, 1023.24646, 1023.2652 , 1023.2814 , 1023.2947 ,\n",
-       "       1023.3131 , 1023.32043, 1023.33435, 1023.3452 , 1023.3554 ,\n",
-       "       1023.3606 , 1023.366  , 1023.37103, 1023.37616, 1023.38043,\n",
-       "       1023.38403, 1023.3869 , 1023.3915 , 1023.38855, 1023.3802 ,\n",
-       "       1023.3759 , 1023.3691 , 1023.3694 , 1023.3698 , 1023.3653 ,\n",
-       "       1023.3579 , 1023.3548 , 1023.35455, 1023.3548 , 1023.35455,\n",
-       "       1023.3522 , 1023.3529 , 1023.3504 , 1023.3525 , 1023.3523 ,\n",
-       "       1023.3569 , 1023.35583, 1023.35565, 1023.35364, 1023.35455,\n",
-       "       1023.35675, 1023.3567 , 1023.35565, 1023.35364, 1023.35144,\n",
-       "       1023.3499 , 1023.3452 , 1023.347  , 1023.3427 , 1023.3374 ,\n",
-       "       1023.3326 , 1023.32874, 1023.3249 , 1023.3244 , 1023.3244 ,\n",
-       "       1023.3202 , 1023.3271 , 1023.32477, 1023.3281 , 1023.3215 ,\n",
-       "       1023.3281 , 1023.3284 , 1023.3283 , 1023.3299 , 1023.33887,\n",
-       "       1023.3277 , 1023.3379 , 1023.343  , 1023.33966, 1023.35315,\n",
-       "       1023.35333, 1023.34064, 1023.33875, 1023.33   , 1023.3218 ,\n",
-       "       1023.32404, 1023.32294, 1023.30853, 1023.3122 , 1023.3125 ,\n",
-       "       1023.3147 , 1023.3218 , 1023.32446, 1023.3674 , 1023.42395,\n",
-       "       1023.4842 , 1023.5248 , 1023.5321 , 1023.545  , 1023.555  ,\n",
-       "       1023.5453 , 1023.53784, 1023.5425 , 1023.5531 , 1023.56085,\n",
-       "       1023.5671 , 1023.5697 , 1023.5727 , 1023.5777 , 1023.5851 ,\n",
-       "       1023.598  , 1023.61127, 1023.61774, 1023.6253 , 1023.63873,\n",
-       "       1023.6415 , 1023.64105, 1023.6321 , 1023.6085 , 1023.58875,\n",
-       "       1023.55664, 1023.53424, 1023.4919 , 1023.4661 , 1023.4329 ,\n",
-       "       1023.4105 , 1023.3956 , 1023.38354, 1023.3727 , 1023.36206,\n",
-       "       1023.3528 , 1023.34467, 1023.34357, 1023.345  , 1023.34937,\n",
-       "       1023.34894, 1023.3448 , 1023.3418 , 1023.3417 , 1023.3436 ,\n",
-       "       1023.3458 , 1023.3482 , 1023.3505 , 1023.34937, 1023.348  ,\n",
-       "       1023.34607, 1023.3471 , 1023.3476 , 1023.3501 , 1023.3529 ,\n",
-       "       1023.35187, 1023.34894, 1023.3476 , 1023.3455 , 1023.3432 ,\n",
-       "       1023.3432 , 1023.34186, 1023.34094, 1023.3408 , 1023.34   ,\n",
-       "       1023.33655, 1023.34143, 1023.34155, 1023.34357, 1023.3508 ,\n",
-       "       1023.3694 , 1023.37335, 1023.3781 , 1023.3796 , 1023.3752 ,\n",
-       "       1023.3806 , 1023.3899 , 1023.3975 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>depth</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>10.28 10.26 10.25 ... 10.15 10.15</div><input id='attrs-a229de0a-42e4-4718-8da1-7173c1238db9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a229de0a-42e4-4718-8da1-7173c1238db9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27910dde-2db5-4d77-818f-4dad1e0be671' class='xr-var-data-in' type='checkbox'><label for='data-27910dde-2db5-4d77-818f-4dad1e0be671' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Water Depth</dd><dt><span>standard_name :</span></dt><dd>depth</dd></dl></div><div class='xr-var-data'><pre>array([10.275155 , 10.262421 , 10.248638 , 10.233478 , 10.216689 ,\n",
-       "       10.204074 , 10.188269 , 10.172538 , 10.158512 , 10.140744 ,\n",
-       "       10.124731 , 10.10534  , 10.088593 , 10.069619 , 10.050677 ,\n",
-       "       10.028841 , 10.00682  ,  9.981041 ,  9.958139 ,  9.932152 ,\n",
-       "        9.90408  ,  9.8704815,  9.843054 ,  9.8099   ,  9.782674 ,\n",
-       "        9.751141 ,  9.722181 ,  9.688391 ,  9.658139 ,  9.624396 ,\n",
-       "        9.591585 ,  9.559362 ,  9.5206785,  9.487036 ,  9.4516325,\n",
-       "        9.418625 ,  9.378983 ,  9.347703 ,  9.310125 ,  9.274782 ,\n",
-       "        9.240932 ,  9.203833 ,  9.168937 ,  9.127398 ,  9.091378 ,\n",
-       "        9.048801 ,  9.012082 ,  8.96804  ,  8.932783 ,  8.890241 ,\n",
-       "        8.854867 ,  8.815892 ,  8.781367 ,  8.746559 ,  8.714514 ,\n",
-       "        8.678216 ,  8.641088 ,  8.608247 ,  8.566862 ,  8.532115 ,\n",
-       "        8.495453 ,  8.461118 ,  8.42251  ,  8.39378  ,  8.36608  ,\n",
-       "        8.334696 ,  8.308269 ,  8.283072 ,  8.254289 ,  8.228873 ,\n",
-       "        8.203963 ,  8.179552 ,  8.162701 ,  8.144332 ,  8.124536 ,\n",
-       "        8.104092 ,  8.085614 ,  8.068075 ,  8.053603 ,  8.043172 ,\n",
-       "        8.025586 ,  8.014922 ,  8.00194  ,  7.9942083,  7.985075 ,\n",
-       "        7.9840665,  7.978806 ,  7.97339  ,  7.9731627,  7.971814 ,\n",
-       "        7.972329 ,  7.9674144,  7.9723177,  7.9744887,  7.9855638,\n",
-       "        7.991272 ,  7.9956956,  8.006041 ,  8.023605 ,  8.038973 ,\n",
-       "        8.049008 ,  8.066569 ,  8.078107 ,  8.090951 ,  8.110414 ,\n",
-       "        8.1288595,  8.1531725,  8.172004 ,  8.192166 ,  8.219532 ,\n",
-       "        8.241356 ,  8.265544 ,  8.288776 ,  8.314842 ,  8.338862 ,\n",
-       "        8.363347 ,  8.388729 ,  8.418659 ,  8.4457035,  8.479128 ,\n",
-       "        8.511397 ,  8.542225 ,  8.57435  ,  8.609074 ,  8.643846 ,\n",
-       "        8.674181 ,  8.707741 ,  8.740917 ,  8.776131 ,  8.809834 ,\n",
-       "        8.847663 ,  8.883326 ,  8.921983 ,  8.956591 ,  8.994466 ,\n",
-       "        9.032357 ,  9.072943 ,  9.107945 ,  9.147928 ,  9.18505  ,\n",
-       "        9.218539 ,  9.25671  ,  9.293107 ,  9.324933 ,  9.361722 ,\n",
-       "        9.397845 ,  9.436231 ,  9.464766 ,  9.502145 ,  9.534171 ,\n",
-       "        9.566268 ,  9.601108 ,  9.627889 ,  9.660232 ,  9.6932535,\n",
-       "        9.72142  ,  9.752015 ,  9.780852 ,  9.808266 ,  9.838272 ,\n",
-       "        9.864178 ,  9.885547 ,  9.914127 ,  9.934637 ,  9.957427 ,\n",
-       "        9.972928 ,  9.992192 , 10.00496  , 10.023165 , 10.037822 ,\n",
-       "       10.052144 , 10.058786 , 10.073322 , 10.083076 , 10.093331 ,\n",
-       "       10.100321 , 10.109131 , 10.117323 , 10.123545 , 10.1341   ,\n",
-       "       10.142311 , 10.14612  , 10.153638 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>U_std</span></div><div class='xr-var-dims'>(range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.04232 0.04293 0.04402 ... nan nan</div><input id='attrs-7cc0e12c-ac1d-465f-b919-ff4396f1f4fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7cc0e12c-ac1d-465f-b919-ff4396f1f4fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c229b4ba-1f27-4846-9eb7-379c42e5b345' class='xr-var-data-in' type='checkbox'><label for='data-c229b4ba-1f27-4846-9eb7-379c42e5b345' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Water Velocity Standard Deviation</dd></dl></div><div class='xr-var-data'><pre>array([[0.04231985, 0.04293143, 0.04401674, ..., 0.04380286, 0.04201568,\n",
-       "        0.04634431],\n",
-       "       [0.04002878, 0.04084466, 0.03949426, ..., 0.04000184, 0.04028782,\n",
-       "        0.03873245],\n",
-       "       [0.04025545, 0.03514179, 0.04270846, ..., 0.0391249 , 0.03997382,\n",
-       "        0.04237254],\n",
-       "       ...,\n",
-       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
-       "               nan],\n",
-       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
-       "               nan],\n",
-       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
-       "               nan]], shape=(28, 183), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3ce677c8-4493-441f-8813-1154a1999004' class='xr-section-summary-in' type='checkbox'  ><label for='section-3ce677c8-4493-441f-8813-1154a1999004' class='xr-section-summary' >Attributes: <span>(41)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>fs :</span></dt><dd>1</dd><dt><span>n_bin :</span></dt><dd>300</dd><dt><span>n_fft :</span></dt><dd>300</dd><dt><span>description :</span></dt><dd>Binned averages calculated from ensembles of size &quot;n_bin&quot;</dd><dt><span>filehead_config :</span></dt><dd>{&quot;CLOCKSTR&quot;: {&quot;TIME&quot;: &quot;\\&quot;2020-08-13 13:56:21\\&quot;&quot;}, &quot;ID&quot;: &quot;STR=\\&quot;Signature1000\\&quot;,SN=101663&quot;, &quot;HW&quot;: {&quot;FW&quot;: 2212, &quot;FPGA&quot;: 169, &quot;DIGITAL&quot;: &quot;\\&quot;I-3\\&quot;&quot;, &quot;INTERFACE&quot;: &quot;\\&quot;H-2\\&quot;&quot;, &quot;ANALOG&quot;: &quot;\\&quot;G-1\\&quot;&quot;, &quot;SENSOR&quot;: &quot;\\&quot;D-1(AHRS)\\&quot;&quot;, &quot;BOOT&quot;: 21, &quot;FWMINOR&quot;: 11}, &quot;BOARDSENSGET&quot;: &quot;AV=23,NB=5,HF=1000,TTR=2.0000,TTRB5=2.0000&quot;, &quot;PWR&quot;: {&quot;PLAN&quot;: 1940.43, &quot;BURST&quot;: 1937.69, &quot;AVG&quot;: 0.0, &quot;PLAN1&quot;: 0.0, &quot;BURST1&quot;: 0.0, &quot;AVG1&quot;: 0.0, &quot;TOTAL&quot;: 1940.43}, &quot;MEM&quot;: {&quot;PLAN&quot;: 2.733, &quot;BURST&quot;: 2.733, &quot;AVG&quot;: 0.0, &quot;PLAN1&quot;: 0.0, &quot;BURST1&quot;: 0.0, &quot;AVG1&quot;: 0.0, &quot;TOTAL&quot;: 2.733}, &quot;PRECISION&quot;: {&quot;AVGHORZ&quot;: -9.99, &quot;BURSTHORZ&quot;: 2.6, &quot;BEAM5&quot;: 1.62, &quot;AVGBEAM&quot;: -9.99, &quot;BURSTBEAM&quot;: 1.55}, &quot;PLAN&quot;: {&quot;MIAVG&quot;: 600, &quot;AVG&quot;: 0, &quot;DIAVG&quot;: 0, &quot;VD&quot;: 0, &quot;MV&quot;: 10, &quot;SA&quot;: 32.0, &quot;BURST&quot;: 1, &quot;MIBURST&quot;: 1, &quot;DIBURST&quot;: 0, &quot;SV&quot;: 0.0, &quot;FN&quot;: &quot;\\&quot;S101663A007_sea_spider.ad2cp\\&quot;&quot;, &quot;SO&quot;: 0, &quot;FREQ&quot;: 1000, &quot;NSTT&quot;: 0}, &quot;BURST&quot;: {&quot;NC&quot;: 28, &quot;NB&quot;: 5, &quot;CS&quot;: 0.5, &quot;BD&quot;: 0.1, &quot;CY&quot;: &quot;\\&quot;ENU\\&quot;&quot;, &quot;PL&quot;: 0.0, &quot;SR&quot;: 1, &quot;NS&quot;: 1, &quot;VR&quot;: 2.5, &quot;VP&quot;: 0.0, &quot;DF&quot;: 3, &quot;NPING&quot;: 8, &quot;CH&quot;: 0, &quot;ALTI&quot;: 0, &quot;VR5&quot;: 2.5, &quot;BT&quot;: 0, &quot;DISV&quot;: 0, &quot;ECHO&quot;: 0, &quot;RAWALTI&quot;: 60, &quot;ALTISTART&quot;: 0.1, &quot;ALTIEND&quot;: 30.0, &quot;HR&quot;: 0, &quot;HR5&quot;: 0}, &quot;XFBURST&quot;: {&quot;ROWS&quot;: 4, &quot;COLS&quot;: 4, &quot;M11&quot;: 1.1831, &quot;M12&quot;: 0.0, &quot;M13&quot;: -1.1831, &quot;M14&quot;: 0.0, &quot;M21&quot;: 0.0, &quot;M22&quot;: -1.1831, &quot;M23&quot;: 0.0, &quot;M24&quot;: 1.1831, &quot;M31&quot;: 0.5518, &quot;M32&quot;: 0.0, &quot;M33&quot;: 0.5518, &quot;M34&quot;: 0.0, &quot;M41&quot;: 0.0, &quot;M42&quot;: 0.5518, &quot;M43&quot;: 0.0, &quot;M44&quot;: 0.5518}, &quot;USER&quot;: {&quot;POFF&quot;: 10.2, &quot;DECL&quot;: 0.0, &quot;HX&quot;: -48, &quot;HY&quot;: 48, &quot;HZ&quot;: 0}, &quot;INST&quot;: {&quot;BR&quot;: 9600, &quot;RS&quot;: 232, &quot;LED&quot;: &quot;\\&quot;OFF\\&quot;&quot;, &quot;ORIENT&quot;: &quot;\\&quot;AHRS3D\\&quot;&quot;, &quot;CMTOUT&quot;: 300, &quot;DMTOUT&quot;: 60, &quot;CFMTOUT&quot;: 60}, &quot;COMPASSCAL&quot;: {&quot;DX&quot;: 155, &quot;DY&quot;: 778, &quot;DZ&quot;: -486, &quot;M11&quot;: 31481, &quot;M12&quot;: 1726, &quot;M13&quot;: -1109, &quot;M21&quot;: -1955, &quot;M22&quot;: 32767, &quot;M23&quot;: 379, &quot;M31&quot;: 750, &quot;M32&quot;: -1851, &quot;M33&quot;: 31699}, &quot;READAHRS&quot;: &quot;STR=\\&quot;OSv6_a2_V5101_0.6 Oct  3 2019, SerialNumber=60004222,type=OS3DM\\&quot;&quot;, &quot;RECSTAT&quot;: &quot;SS=512,CS=32768,FC=127813877760,TC=127848677376,VS=127848677376&quot;, &quot;BEAMCFGLIST&quot;: [&quot;BEAM=1,THETA=25.00,PHI=0.00,FREQ=1000,BW=25,BRD=1,HWBEAM=1,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=2,THETA=25.00,PHI=-90.00,FREQ=1000,BW=25,BRD=1,HWBEAM=2,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=3,THETA=25.00,PHI=180.00,FREQ=1000,BW=25,BRD=1,HWBEAM=3,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=4,THETA=25.00,PHI=90.00,FREQ=1000,BW=25,BRD=1,HWBEAM=4,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=5,THETA=0.00,PHI=0.00,FREQ=1000,BW=25,BRD=1,HWBEAM=5,ZNOM=60.00,DIA=0.0&quot;], &quot;BEAMIMPLIST&quot;: [&quot;BEAM=1,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=2,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=3,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=4,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=5,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;], &quot;LISTLICENSE&quot;: [&quot;KEY=\\&quot;C390Y1LU32C1B\\&quot;,DESC=\\&quot;Averaging Mode\\&quot;,TYPE=1&quot;, &quot;KEY=\\&quot;6F2UB3HTH2C1B\\&quot;,DESC=\\&quot;Burst Five Beams\\&quot;,TYPE=17&quot;, &quot;KEY=\\&quot;R0X9JSZPH2C1B\\&quot;,DESC=\\&quot;128GB Recorder\\&quot;,TYPE=14&quot;], &quot;CALCOMPGET&quot;: &quot;DX=155,DY=778,DZ=-486,M11=31481,M12=1726,M13=-1109,M21=-1955,M22=32767,M23=379,M31=750,M32=-1851,M33=31699&quot;, &quot;CALTEMPGET&quot;: &quot;SC=0.99906&quot;, &quot;CALTILTGET&quot;: &quot;PO=0.00,RO=0.00,MAGG=1,HO=0.00&quot;, &quot;CALACCLGET&quot;: [&quot;AX=1.000000E+00,B0X=1.791816E-02,B1X=-1.795970E-02,B2X=6.661898E-04,B3X=0.000000E+00,A1X=1.146936E-05,A2X=7.326843E-06,A3X=0.000000E+00&quot;, &quot;AY=1.000000E+00,B0Y=9.597497E-03,B1Y=-8.430577E-03,B2Y=9.310668E-04,B3Y=0.000000E+00,A1Y=7.215003E-05,A2Y=1.361528E-06,A3Y=0.000000E+00&quot;, &quot;AZ=1.000000E+00,B0Z=1.290458E-02,B1Z=2.959575E-02,B2Z=2.331257E-03,B3Z=0.000000E+00,A1Z=1.164268E-04,A2Z=-2.166612E-06,A3Z=0.000000E+00&quot;], &quot;CALGYROGET&quot;: [&quot;AX=1.094973E+00,B0X=-2.672331E+00,B1X=-1.493178E-03,B2X=9.496510E-05,B3X=0.000000E+00,A1X=2.702698E-04,A2X=8.100271E-05,A3X=0.000000E+00&quot;, &quot;AY=1.080807E+00,B0Y=3.432283E-01,B1Y=7.219538E-04,B2Y=1.416728E-04,B3Y=0.000000E+00,A1Y=9.466633E-04,A2Y=-4.216283E-05,A3Y=0.000000E+00&quot;, &quot;AZ=1.085556E+00,B0Z=-9.442614E-01,B1Z=6.433576E-04,B2Z=-1.306087E-05,B3Z=0.000000E+00,A1Z=1.430541E-03,A2Z=-7.494539E-05,A3Z=0.000000E+00&quot;], &quot;CALPRESSGET&quot;: &quot;MT=1,RREF=4.5264760000e+02,RB0=7.7074756250e-01,RB1=-7.5541806250e-02,RB2=4.9886362500e-04,RB3=-1.4193179690e-07,T0=-2.4234620000e+03,T1=1.8815180000e+00,T2=-5.0111803130e-04,T3=4.7281500000e-08,ID=\\&quot;K244314\\&quot;&quot;, &quot;CALPRESSCOEFFGET&quot;: [&quot;A0=6.3850020000e+00,A1=-5.6274000000e-03,A2=1.6346411250e-06,A3=-1.6029240630e-10,B0=-2.6056009380e-01,B1=3.1699690630e-04,B2=-9.0774206250e-08,B3=8.5142393750e-12&quot;, &quot;C0=-1.2762860000e-03,C1=1.1561740000e-06,C2=-3.5109818750e-10,C3=3.5575718750e-14,D0=3.6002040630e-06,D1=-3.3359181250e-09,D2=1.0241850000e-12,D3=-1.0446648750e-16&quot;], &quot;CALROTACCLGET&quot;: &quot;M11=0.99144,M12=0.00991,M13=-0.03081,M21=-0.00921,M22=0.99564,M23=0.01131,M31=0.03451,M32=-0.01242,M33=0.98426&quot;, &quot;CALROTGYROGET&quot;: &quot;M11=1.00000,M12=0.00803,M13=-0.02685,M21=-0.00933,M22=1.00000,M23=0.01646,M31=0.02587,M32=-0.01599,M33=1.00000&quot;, &quot;CALECHOGET&quot;: &quot;CHA0=0.00,CHB0=-17.69,CHC0=0.00&quot;}</dd><dt><span>inst_model :</span></dt><dd>Signature1000</dd><dt><span>inst_make :</span></dt><dd>Nortek</dd><dt><span>inst_type :</span></dt><dd>ADCP</dd><dt><span>burst_config :</span></dt><dd>{&quot;press_valid&quot;: true, &quot;temp_valid&quot;: true, &quot;compass_valid&quot;: true, &quot;tilt_valid&quot;: true, &quot;vel&quot;: true, &quot;amp&quot;: true, &quot;corr&quot;: true, &quot;le&quot;: false, &quot;altraw&quot;: false, &quot;ast&quot;: false, &quot;echo&quot;: false, &quot;ahrs&quot;: true, &quot;p_gd&quot;: false, &quot;std&quot;: false}</dd><dt><span>n_cells :</span></dt><dd>28</dd><dt><span>n_beams :</span></dt><dd>4</dd><dt><span>ambig_vel :</span></dt><dd>5.066</dd><dt><span>SerialNum :</span></dt><dd>101663</dd><dt><span>nominal_corr :</span></dt><dd>67</dd><dt><span>cell_size :</span></dt><dd>0.5</dd><dt><span>blank_dist :</span></dt><dd>0.1</dd><dt><span>power_level_dB :</span></dt><dd>0.0</dd><dt><span>burst_config_b5 :</span></dt><dd>{&quot;press_valid&quot;: true, &quot;temp_valid&quot;: true, &quot;compass_valid&quot;: true, &quot;tilt_valid&quot;: true, &quot;vel&quot;: true, &quot;amp&quot;: true, &quot;corr&quot;: true, &quot;le&quot;: false, &quot;altraw&quot;: false, &quot;ast&quot;: false, &quot;echo&quot;: false, &quot;ahrs&quot;: true, &quot;p_gd&quot;: false, &quot;std&quot;: false}</dd><dt><span>n_cells_b5 :</span></dt><dd>28</dd><dt><span>coord_sys_axes_b5 :</span></dt><dd>beam</dd><dt><span>n_beams_b5 :</span></dt><dd>1</dd><dt><span>ambig_vel_b5 :</span></dt><dd>5.066</dd><dt><span>SerialNum_b5 :</span></dt><dd>101663</dd><dt><span>nominal_corr_b5 :</span></dt><dd>65</dd><dt><span>cell_size_b5 :</span></dt><dd>0.5</dd><dt><span>blank_dist_b5 :</span></dt><dd>0.1</dd><dt><span>power_level_dB_b5 :</span></dt><dd>0.0</dd><dt><span>wakeup_state :</span></dt><dd>clock</dd><dt><span>orientation :</span></dt><dd>AHRS</dd><dt><span>orient_status :</span></dt><dd>AHRS-3D</dd><dt><span>proc_idle_less_3pct :</span></dt><dd>0</dd><dt><span>proc_idle_less_6pct :</span></dt><dd>0</dd><dt><span>proc_idle_less_12pct :</span></dt><dd>0</dd><dt><span>rotate_vars :</span></dt><dd>[&#x27;vel&#x27;, &#x27;accel&#x27;, &#x27;accel_b5&#x27;, &#x27;angrt&#x27;, &#x27;angrt_b5&#x27;, &#x27;mag&#x27;, &#x27;mag_b5&#x27;]</dd><dt><span>coord_sys :</span></dt><dd>principal</dd><dt><span>has_imu :</span></dt><dd>1</dd><dt><span>beam_angle :</span></dt><dd>25</dd><dt><span>range_offset :</span></dt><dd>0.6</dd><dt><span>declination :</span></dt><dd>15.8</dd><dt><span>declination_in_orientmat :</span></dt><dd>1</dd><dt><span>principal_heading :</span></dt><dd>11.1898</dd></dl></div></li></ul></div></div>"
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### 2.3: Apply an Acoustic Signal Correlation Filter\n",
+        "\n",
+        "After removing data from bins at or above the water surface, we typically apply a filter based on acoustic signal correlation to the ADCP data. This helps to eliminate erroneous velocity data points, which can be caused by factors such as bubbles, kelp, fish, etc., moving through one or multiple beams.\n",
+        "\n",
+        "You can quickly inspect the data to determine an appropriate correlation value by using the built-in plotting feature of xarray. In the following example, we use xarray's slicing capabilities to display data from beam 1 within a range of 0 to 10 m from the ADCP.\n",
+        "\n",
+        "It's important to note that not all ADCPs provide acoustic signal correlation data, which serves as a quantitative measure of signal quality. Older ADCPs may not offer this feature, in which case you can skip this step when using such instruments."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 11,
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "image/png": 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",
+            "text/plain": [
+              "<Figure size 1200x800 with 8 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
       ],
-      "text/plain": [
-       "<xarray.Dataset> Size: 379kB\n",
-       "Dimensions:         (time: 183, dirIMU: 3, dir: 4, range: 28, beam: 4,\n",
-       "                     earth: 3, inst: 3, q: 4, time_b5: 183, range_b5: 28)\n",
-       "Coordinates:\n",
-       "  * time            (time) datetime64[ns] 1kB 2020-08-15T00:22:30.001030683 ....\n",
-       "  * dirIMU          (dirIMU) <U10 120B 'streamwise' 'x-stream' 'vert'\n",
-       "  * dir             (dir) <U10 160B 'streamwise' 'x-stream' 'vert1' 'vert2'\n",
-       "  * range           (range) float64 224B 1.2 1.7 2.2 2.7 ... 13.2 13.7 14.2 14.7\n",
-       "  * beam            (beam) int32 16B 1 2 3 4\n",
-       "  * earth           (earth) <U1 12B 'E' 'N' 'U'\n",
-       "  * inst            (inst) <U1 12B 'X' 'Y' 'Z'\n",
-       "  * q               (q) <U1 16B 'w' 'x' 'y' 'z'\n",
-       "  * time_b5         (time_b5) datetime64[ns] 1kB 2020-08-15T00:22:29.93849515...\n",
-       "  * range_b5        (range_b5) float64 224B 1.2 1.7 2.2 2.7 ... 13.7 14.2 14.7\n",
-       "Data variables: (12/38)\n",
-       "    c_sound         (time) float32 732B 1.502e+03 1.502e+03 ... 1.498e+03\n",
-       "    temp            (time) float32 732B 14.49 14.59 14.54 ... 13.62 13.56 13.5\n",
-       "    pressure        (time) float32 732B 9.712 9.699 9.685 ... 9.58 9.584 9.591\n",
-       "    mag             (dirIMU, time) float32 2kB 3.534 3.565 ... -197.1 -197.1\n",
-       "    accel           (dirIMU, time) float32 2kB -1.261 -1.263 ... 9.714 9.712\n",
-       "    batt            (time) float32 732B 16.48 16.48 16.48 ... 16.25 16.26 16.26\n",
-       "    ...              ...\n",
-       "    heading         (time) float32 732B 3.287 3.261 3.337 ... 3.331 3.352 3.352\n",
-       "    pitch           (time) float32 732B -0.05523 -0.07217 ... -0.04288 -0.0429\n",
-       "    roll            (time) float32 732B -7.414 -7.424 -7.404 ... -6.433 -6.436\n",
-       "    water_density   (time) float32 732B 1.023e+03 1.023e+03 ... 1.023e+03\n",
-       "    depth           (time) float32 732B 10.28 10.26 10.25 ... 10.14 10.15 10.15\n",
-       "    U_std           (range, time) float32 20kB 0.04232 0.04293 ... nan nan\n",
-       "Attributes: (12/41)\n",
-       "    fs:                        1\n",
-       "    n_bin:                     300\n",
-       "    n_fft:                     300\n",
-       "    description:               Binned averages calculated from ensembles of s...\n",
-       "    filehead_config:           {\"CLOCKSTR\": {\"TIME\": \"\\\"2020-08-13 13:56:21\\\"...\n",
-       "    inst_model:                Signature1000\n",
-       "    ...                        ...\n",
-       "    has_imu:                   1\n",
-       "    beam_angle:                25\n",
-       "    range_offset:              0.6\n",
-       "    declination:               15.8\n",
-       "    declination_in_orientmat:  1\n",
-       "    principal_heading:         11.1898"
+      "source": [
+        "%matplotlib inline\n",
+        "fig, axes = plt.subplots(2, 2, figsize=(12, 8), sharex=True, sharey=True)\n",
+        "\n",
+        "for i, ax in enumerate(axes.ravel()):\n",
+        "    ds[\"corr\"].isel(beam=i).sel(range=slice(0, 10)).plot(ax=ax)\n",
+        "    ax.set_title(f\"Beam {int(ds['beam'].isel(beam=i).values)}\")"
       ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ds_avg"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
+    },
     {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x1200 with 4 Axes>"
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "It's beneficial to also review data from the other beams. A significant portion of this data is of high quality. To avoid discarding valuable data with lower correlations, which could be due to natural variations, we can use the `correlation_filter`. This function assigns a value of NaN (not a number) to velocity values corresponding to correlations below 50%.\n",
+        "\n",
+        "However, it's important to note that the correlation threshold is dependent on the specifics of the deployment environment and the instrument used. It's not unusual to set a threshold as low as 30%, or even to forgo the use of this function entirely."
       ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "vel = ds_avg[\"vel\"]\n",
-    "\n",
-    "vel_dim = [d for d in vel.dims if d in (\"dir\", \"earth\", \"inst\", \"beam\")][0]\n",
-    "labels = vel.coords[vel_dim].values\n",
-    "\n",
-    "fig, axes = plt.subplots(len(labels), 1, figsize=(8, 3 * len(labels)), sharex=True)\n",
-    "\n",
-    "if len(labels) == 1:\n",
-    "    axes = [axes]\n",
-    "\n",
-    "for ax_i, label in zip(axes, labels):\n",
-    "    values = vel.sel({vel_dim: label}).values.ravel()\n",
-    "    values = values[np.isfinite(values)]\n",
-    "\n",
-    "    ax_i.hist(values, bins=50, color=\"steelblue\", edgecolor=\"black\", alpha=0.8)\n",
-    "    ax_i.set_title(f\"Velocity histogram: {label}\")\n",
-    "    ax_i.set_ylabel(\"Count\")\n",
-    "\n",
-    "axes[-1].set_xlabel(\"Velocity [m/s]\")\n",
-    "plt.tight_layout()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
+    },
     {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1500x400 with 6 Axes>"
+      "cell_type": "code",
+      "execution_count": 12,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "ds = api.clean.correlation_filter(ds, thresh=50)"
       ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, axes = plt.subplots(1, 3, figsize=(15, 4))\n",
-    "\n",
-    "for i, ax in enumerate(axes):\n",
-    "    ds_avg[\"vel\"][i].plot(ax=ax)\n",
-    "    ax.set_title(ds_avg[\"vel\"].coords[\"dir\"].values[i])\n",
-    "    ax.tick_params(axis=\"x\", labelrotation=45)\n",
-    "\n",
-    "plt.tight_layout()"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 4. Calculate Speed and Direction\n",
-    "\n",
-    "Two additional variables that might be of interest, which are not automatically provided, are the magnitude of the horizontal velocity (referred to as `U_mag` or speed) and its direction (`U_dir`). These can be accessed via \"shortcut\" functions through the keyword `velds`, as demonstrated in the subsequent code block.\n",
-    "\n",
-    "For a comprehensive list of these \"shortcut\" functions, you can refer to the [DOLfYN documentation](https://dolfyn.readthedocs.io/en/latest/apidoc/dolfyn.shortcuts.html)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [],
-   "source": [
-    "ds_avg[\"U_mag\"] = ds_avg.velds.U_mag\n",
-    "ds_avg[\"U_dir\"] = ds_avg.velds.U_dir"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Plotting"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Plotting can be accomplished through the user's preferred package. Matplotlib is shown here for simplicity, and flow speed and direction are plotted below with a blue line delineating the water surface level."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
+    },
     {
-     "data": {
-      "text/plain": [
-       "<matplotlib.colorbar.Colorbar at 0x249c4fdac30>"
+      "cell_type": "code",
+      "execution_count": 13,
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "image/png": 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",
+            "text/plain": [
+              "<Figure size 1500x400 with 6 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "fig, axes = plt.subplots(1, 3, figsize=(15, 4))\n",
+        "\n",
+        "for i, ax in enumerate(axes):\n",
+        "    ds[\"vel\"][i].plot(ax=ax, vmin=-1.5, vmax=1.5, cmap=\"RdBu_r\")\n",
+        "    ax.set_title(ds[\"vel\"].coords[\"dir\"].values[i])\n",
+        "    ax.tick_params(axis=\"x\", labelrotation=45)\n",
+        "\n",
+        "plt.tight_layout()"
       ]
-     },
-     "execution_count": 25,
-     "metadata": {},
-     "output_type": "execute_result"
     },
     {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 2 Axes>"
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### 2.4 Rotate Data Coordinate System\n",
+        "\n",
+        "After cleaning the data, the next step is to rotate the velocity data into accurate East, North, Up (ENU) coordinates.\n",
+        "\n",
+        "ADCPs utilize an internal compass or magnetometer to determine magnetic ENU directions. You can use the set_declination function to adjust the velocity data according to the magnetic declination specific to your geographical coordinates. This declination can be looked up online for specific coordinates.\n",
+        "\n",
+        "Instruments save vector data in the coordinate system defined in the deployment configuration file. To make this data meaningful, it must be transformed through various coordinate systems (\"beam\"<->\"inst\"<->\"earth\"<->\"principal\"). This transformation is accomplished using the `rotate2` function. If the \"earth\" (ENU) coordinate system is specified, DOLfYN will automatically rotate the dataset through the required coordinate systems to reach the \"earth\" coordinates. Setting `inplace` to true will modify the input dataset directly, meaning it will not create a new dataset.\n",
+        "\n",
+        "In this case, since the ADCP data is already in the \"earth\" coordinate system, the `rotate2` function will return the input dataset without modifications. The `set_declination` function will work no matter the coordinate system."
       ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "%matplotlib inline\n",
-    "from matplotlib import pyplot as plt\n",
-    "import matplotlib.dates as dt\n",
-    "\n",
-    "ax = plt.figure(figsize=(10, 6)).add_axes([0.14, 0.14, 0.8, 0.74])\n",
-    "# Plot flow speed\n",
-    "t = dolfyn.time.dt642date(ds_avg[\"time\"])\n",
-    "plt.pcolormesh(t, ds_avg[\"range\"], ds_avg[\"U_mag\"], cmap=\"Blues\", shading=\"nearest\")\n",
-    "# Plot the water surface\n",
-    "ax.plot(t, ds_avg[\"depth\"])\n",
-    "\n",
-    "# Set up time on x-axis\n",
-    "ax.set_xlabel(\"Time\")\n",
-    "ax.xaxis.set_major_formatter(dt.DateFormatter(\"%H:%M\"))\n",
-    "ax.lines[-1].set_label(\"Water surface\")\n",
-    "ax.legend(loc=\"upper right\")\n",
-    "ax.set_ylabel(\"Altitude [m]\")\n",
-    "ax.set_ylim([0, 12])\n",
-    "plt.colorbar(label=\"Speed [m/s]\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
+    },
     {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 2 Axes>"
+      "cell_type": "code",
+      "execution_count": 14,
+      "metadata": {},
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Data is already in the earth coordinate system\n"
+          ]
+        }
+      ],
+      "source": [
+        "dolfyn.set_declination(ds, 15.8, inplace=True)  # 15.8 deg East\n",
+        "dolfyn.rotate2(ds, \"earth\", inplace=True)"
       ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "ax = plt.figure(figsize=(10, 6)).add_axes([0.14, 0.14, 0.8, 0.74])\n",
-    "# Plot flow direction\n",
-    "plt.pcolormesh(t, ds_avg[\"range\"], ds_avg[\"U_dir\"], cmap=\"twilight\", shading=\"nearest\")\n",
-    "# Plot the water surface\n",
-    "ax.plot(t, ds_avg[\"depth\"])\n",
-    "\n",
-    "# set up time on x-axis\n",
-    "ax.set_xlabel(\"Time\")\n",
-    "ax.xaxis.set_major_formatter(dt.DateFormatter(\"%H:%M\"))\n",
-    "\n",
-    "ax.set_ylabel(\"Altitude [m]\")\n",
-    "ax.set_ylim([0, 12])\n",
-    "plt.colorbar(label=\"Horizontal Vel Dir [deg CW from true N]\");"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Saving and Loading DOLfYN datasets\n",
-    "Datasets can be saved and reloaded using the `save` and `load` functions. Xarray is saved natively in netCDF format, hence the \".nc\" extension.\n",
-    "\n",
-    "Note: DOLfYN datasets cannot be saved using xarray's native `ds.to_netcdf`; however, DOLfYN datasets can be opened using `xarray.open_dataset`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Uncomment these lines to save and load to your current working directory\n",
-    "# dolfyn.save(ds, 'your_data.nc')\n",
-    "# ds_saved = dolfyn.load('your_data.nc')"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 7. Turbulence Statistics\n",
-    "\n",
-    "The next section of this jupyter notebook will run through the turbulence analysis of the data presented here. There was no intention of measuring turbulence in the deployment that collected this data, so results depicted here are not the highest quality. The quality of turbulence measurements from an ADCP depend heavily on the quality of the deployment setup and data collection, particularly instrument frequency, samping frequency and depth bin size.\n",
-    "\n",
-    "Read more on proper ADCP setup for turbulence measurements in: Thomson, Jim, et al. \"Measurements of turbulence at two tidal energy sites in Puget Sound, WA.\" IEEE Journal of Oceanic Engineering 37.3 (2012): 363-374.\n",
-    "\n",
-    "Most functions related to turbulence statistics in MHKiT-DOLfYN have the papers they originate from referenced in their docstrings.\n",
-    "\n",
-    "### 7.1 Turbulence Intensity\n",
-    "For most users, turbulence intensity (TI), the ratio of the ensemble standard deviation to ensemble flow speed given as a percent, is all most will need. In MHKiT, this can be simply calculated as `<raw dataset>.velds.I`, but be aware that this will be a conservative estimate. Another function, `turbulence_intensity`, is capable of subtracting instrument noise from this parameter and is discussed below. The noise-subtracted TI is more accurate and typically 1-2% lower than the non-noise-subtracted estimation.\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [
+    },
     {
-     "data": {
-      "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x249daa0dd30>"
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "To rotate into the principal frame of reference (streamwise, cross-stream, vertical), if desired, we must first calculate the depth-averaged principal flow heading and add it to the dataset attributes. Then the dataset can be rotated using the same `rotate2` function. We use `inplace=False` because we do not want to alter the input dataset here."
       ]
-     },
-     "execution_count": 28,
-     "metadata": {},
-     "output_type": "execute_result"
     },
     {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
+      "cell_type": "code",
+      "execution_count": 15,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "ds.attrs[\"principal_heading\"] = dolfyn.calc_principal_heading(ds[\"vel\"].mean(\"range\"))\n",
+        "ds = dolfyn.rotate2(ds, \"principal\", inplace=False)"
       ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Turbulence Intensity\n",
-    "ds_avg[\"TI\"] = ds_avg.velds.I\n",
-    "ds_avg[\"TI\"].plot(cmap=\"Reds\", ylim=(0, 11))"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 7.2 Power Spectral Densities (Auto-Spectra)\n",
-    "\n",
-    "Other turbulence parameters include the TKE power- and cross-spectral densities (i.e the power spectra), turbulent kinetic energy (TKE, i.e. the variances of velocity vector components), Reynolds stress vector (i.e. the co-variances of velocity vector components), TKE dissipation rate, and TKE production rate. These quantities are primarily used to inform and verify hydrodynamic and coastal models, which take some or all of these quantities as input.\n",
-    "\n",
-    "The TKE production rate is the rate at which kinetic energy (KE) transitions from a useful state (able to do \"work\" in the physics sense) to turbulent; TKE is the actual amount of turbulent KE in the water; and TKE dissipation rate is the rate at which turbulent KE is lost to non-motion forms of energy (heat, sound, etc) due to viscosity. The power spectra are used to depict and quantify this energy in the frequency domain, and creating them are the first step in turbulence analysis.\n",
-    "\n",
-    "We'll start by looking at the power spectra, specifically the auto-spectra from the vertical beam (\"auto\" meaning the variance of a single vector direction, e.g. $\\overline{u'^2}$, vs \"cross\", meaning the covariance of two directions, e.g. $\\overline{u'w'}$). This can be done using the `power_spectral_density` function from the `ADPBinner` we created (\"avg_tool\"). We'll create spectra at the middle water column, at a depth of 5 m, and use a number of FFT's equal to 1/3 the bin size."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rng = 5  # m\n",
-    "vel_up = ds[\"vel_b5\"].sel(range_b5=rng, method=\"nearest\")  # vertical velocity\n",
-    "U = ds_avg[\"U_mag\"].sel(\n",
-    "    range=5, method=\"nearest\"\n",
-    ")  # flow speed, for plotting in the next block\n",
-    "\n",
-    "ds_avg[\"auto_spectra_5m\"] = avg_tool.power_spectral_density(\n",
-    "    vel_up, freq_units=\"Hz\", n_fft=ds_avg.n_bin // 2\n",
-    ")"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "In the auto-spectra, we're primarly looking for three components: the energy-producing region, the isotropic turbulence region (so-called \"red noise\"), and the instrument noise floor (termed \"white noise\"). \n",
-    "\n",
-    "The block below organizes and plots the power spectra by the corresponding ensemble speed, averaging them by 0.1 m/s velocity bins. Note that if an ensemble is missing data that wasn't filled in, a power spectrum will not be calculated for that ensemble timestamp."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
+    },
     {
-     "data": {
-      "text/plain": [
-       "[Text(0.5, 0, 'Frequency [Hz]'),\n",
-       " Text(0, 0.5, 'PSD [m2 s-2 Hz-1]'),\n",
-       " (0.01, 1),\n",
-       " (0.0005, 0.1)]"
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Updated velocity histograms and contour plots for rotated velocity. "
       ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
     },
     {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 600x500 with 2 Axes>"
+      "cell_type": "code",
+      "execution_count": 16,
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "image/png": 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",
+            "text/plain": [
+              "<Figure size 800x800 with 4 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "vel = ds[\"vel\"]\n",
+        "\n",
+        "vel_dim = [d for d in vel.dims if d in (\"dir\", \"earth\", \"inst\", \"beam\")][0]\n",
+        "labels = vel.coords[vel_dim].values\n",
+        "\n",
+        "fig, axes = plt.subplots(len(labels), 1, figsize=(8, 2 * len(labels)), sharex=True)\n",
+        "\n",
+        "if len(labels) == 1:\n",
+        "    axes = [axes]\n",
+        "\n",
+        "for ax_i, label in zip(axes, labels):\n",
+        "    values = vel.sel({vel_dim: label}).values.ravel()\n",
+        "    values = values[np.isfinite(values)]\n",
+        "\n",
+        "    ax_i.hist(values, bins=50, color=\"steelblue\", edgecolor=\"black\", alpha=0.8)\n",
+        "    ax_i.set_title(f\"Velocity histogram: {label}\")\n",
+        "    ax_i.set_ylabel(\"Count\")\n",
+        "\n",
+        "axes[-1].set_xlabel(\"Velocity [m/s]\")\n",
+        "plt.tight_layout()"
       ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
-    "import matplotlib as mpl\n",
-    "\n",
-    "plt.rcParams.update({\"font.size\": 18, \"font.family\": \"Times New Roman\"})\n",
-    "\n",
-    "\n",
-    "def plot_spectra_by_color(auto_spectra, U_mag, ax, fig, cbar_max=4.0):\n",
-    "    U = U_mag.values\n",
-    "    U_max = U_mag.max().values\n",
-    "\n",
-    "    # Average spectra into 0.1 m/s velocity bins\n",
-    "    speed_bins = np.arange(0.5, U_max, 0.1)\n",
-    "    time = [t for t in auto_spectra.dims if \"time\" in t][0]\n",
-    "    S_group = auto_spectra.assign_coords({time: U}).rename({time: \"speed\"})\n",
-    "    group = S_group.groupby_bins(\"speed\", speed_bins)\n",
-    "    count = group.count().values\n",
-    "    S = group.mean()\n",
-    "\n",
-    "    # define the colormap\n",
-    "    cmap = plt.cm.turbo\n",
-    "    # define the bins and normalize\n",
-    "    bounds = np.arange(0.5, cbar_max, 0.1)\n",
-    "    norm = mpl.colors.BoundaryNorm(bounds, cmap.N)\n",
-    "    colors = cmap(norm(speed_bins))\n",
-    "\n",
-    "    # plot\n",
-    "    for i in range(len(speed_bins) - 1):\n",
-    "        ax.loglog(auto_spectra[\"freq\"], S[i], c=colors[i])\n",
-    "    ax.grid()\n",
-    "\n",
-    "    # create a second axes for the colorbar\n",
-    "    cax = fig.add_axes([0.8, 0.07, 0.03, 0.88])\n",
-    "    # cax, _ = mpl.colorbar.make_axes(fig.gca())\n",
-    "    sm = mpl.colorbar.ColorbarBase(\n",
-    "        cax,\n",
-    "        cmap=cmap,\n",
-    "        norm=norm,\n",
-    "        spacing=\"proportional\",\n",
-    "        ticks=bounds,\n",
-    "        boundaries=bounds,\n",
-    "        format=\"%1.1f\",\n",
-    "        label=\"Velocity [m/s]\",\n",
-    "    )\n",
-    "\n",
-    "    # Add -5/3 slope line\n",
-    "    m = -5 / 3\n",
-    "    x = np.logspace(-1, 0.5)\n",
-    "    y = 10 ** (-3) * x**m\n",
-    "    ax.loglog(x, y, \"--\", c=\"black\", label=\"$f^{-5/3}$\")\n",
-    "    ax.legend()\n",
-    "\n",
-    "    return ax, sm\n",
-    "\n",
-    "\n",
-    "# Set up figure\n",
-    "fig, ax = plt.subplots(1, 1, figsize=(6, 5))\n",
-    "fig.subplots_adjust(left=0.2, right=0.75, top=0.95, bottom=0.1)\n",
-    "\n",
-    "# Plot spectra by color\n",
-    "plot_spectra_by_color(ds_avg[\"auto_spectra_5m\"], U, ax, fig, cbar_max=2.0)\n",
-    "# Set axes\n",
-    "ax.set(\n",
-    "    xlabel=\"Frequency [Hz]\",\n",
-    "    ylabel=\"PSD [m2 s-2 Hz-1]\",\n",
-    "    xlim=(0.01, 1),\n",
-    "    ylim=(0.0005, 0.1),\n",
-    ")"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "In the figure above, we can see the energy-producing turbulent structures below a frequency of 0.2 Hz (one tick to the right of \"10^-1\"). The isotropic turbulence cascade, seen by the dashed f^(-5/3) slope (from Kolmogorov's theory of turbulence) begins at around 0.2 Hz and continues until we reach the Nyquist frequency at 0.5 Hz (1/2 the instrument's sampling frequency, 1 Hz). The instrument's noise floor can't be seen here, but will show up as the flattened part of the spectra at the highest frequencies. For this instrument (Nortek Signature1000), the noise floor typically varies around 10^-3, depending on flow speed and range distance."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 7.3 Instrument Noise\n",
-    "\n",
-    "The next thing we want to do is calculate the instrument's Doppler noise floor from the spectrum we calculated above. (We are making the assumption that the noise floor of the vertical beam is the same as the noise floor of the other 4 beams). This gives us a timeseries of the noise floor, which varies by instrument and with flow speed, at that depth bin.\n",
-    "\n",
-    "We can do this using the `doppler_noise_level` function. The two inputs for this function are the power spectra and \"pct_fN\", the percent of the Nyquist frequency that the noise floor exists. Because in this particularly dataset we can't see the noise floor, we'll just use 90% or pct_fN=0.9 as an example. If the noise floor began at 0.4 Hz and ran til our maximum frequency of 0.5 Hz, we'd use pct_fN = 0.4 Hz / 0.5 Hz = 0.8."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [
+    },
     {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Statistic</th>\n",
-       "      <th>Value</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>mean</td>\n",
-       "      <td>0.024059</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>std</td>\n",
-       "      <td>0.007032</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>min</td>\n",
-       "      <td>0.013010</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>max</td>\n",
-       "      <td>0.046780</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
+      "cell_type": "code",
+      "execution_count": 17,
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "image/png": 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",
+            "text/plain": [
+              "<Figure size 1500x400 with 6 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
       ],
-      "text/plain": [
-       "  Statistic     Value\n",
-       "0      mean  0.024059\n",
-       "1       std  0.007032\n",
-       "2       min  0.013010\n",
-       "3       max  0.046780"
+      "source": [
+        "fig, axes = plt.subplots(1, 3, figsize=(15, 4))\n",
+        "\n",
+        "for i, ax in enumerate(axes):\n",
+        "    ds[\"vel\"][i].plot(ax=ax, vmin=-1.5, vmax=1.5, cmap=\"RdBu_r\")\n",
+        "    ax.set_title(ds[\"vel\"].coords[\"dir\"].values[i])\n",
+        "    ax.tick_params(axis=\"x\", labelrotation=45)\n",
+        "\n",
+        "plt.tight_layout()"
       ]
-     },
-     "execution_count": 31,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ds_avg[\"noise_5m\"] = avg_tool.doppler_noise_level(ds_avg[\"auto_spectra_5m\"], pct_fN=0.9)\n",
-    "\n",
-    "noise_stats = pd.DataFrame({\n",
-    "    \"Statistic\": [\"mean\", \"std\", \"min\", \"max\"],\n",
-    "    \"Value\": [\n",
-    "        float(ds_avg[\"noise_5m\"].mean().values),\n",
-    "        float(ds_avg[\"noise_5m\"].std().values),\n",
-    "        float(ds_avg[\"noise_5m\"].min().values),\n",
-    "        float(ds_avg[\"noise_5m\"].max().values),\n",
-    "    ]\n",
-    "})\n",
-    "\n",
-    "noise_stats\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 7.4 TKE Dissipation Rate\n",
-    "\n",
-    "Because we can see the isotropic turbulence cascade (0.2 - 0.5 Hz) at this depth bin (5 m altitude), we can calculate the TKE dissipation rate at this location from the spectra itself. This can be done using `dissipation_rate_LT83`, whose inputs are the power spectra, the ensemble speed, the frequency range of the isotropic cascade, and the instrument's noise."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Frequency range of isotropic turubulence cascade in same units as PSD frequency vector\n",
-    "f_rng = [0.1, 0.5]\n",
-    "# Dissipation rate\n",
-    "ds_avg[\"dissipation_rate_5m\"] = avg_tool.dissipation_rate_LT83(\n",
-    "    ds_avg[\"auto_spectra_5m\"], U, freq_range=f_rng, noise=ds_avg['noise_5m']\n",
-    ")\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We have just found the spectra and dissipation rate from a single depth bin at an altitude of 5 m from the seafloor, but typically we want the spectra and dissipation rates from the entire measurement profile. If we want to look at the spectra and dissipation rates from all depth bins, we can set up a \"for\" loop on the range coordinate and merge them together:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import xarray as xr\n",
-    "\n",
-    "spec = [None] * len(ds.range)\n",
-    "e = [None] * len(ds.range)\n",
-    "n = [None] * len(ds.range)\n",
-    "\n",
-    "for r in range(len(ds[\"range\"])):\n",
-    "    # Calc spectra from each depth bin using the 5th beam\n",
-    "    spec[r] = avg_tool.power_spectral_density(\n",
-    "        ds[\"vel_b5\"].isel(range_b5=r), freq_units=\"Hz\"\n",
-    "    )\n",
-    "    \n",
-    "    # Calculate doppler noise from spectra from each depth bin\n",
-    "    n[r] = avg_tool.doppler_noise_level(spec[r], pct_fN=0.9)\n",
-    "    \n",
-    "    # Calc dissipation rate from each spectra\n",
-    "    e[r] = avg_tool.dissipation_rate_LT83(\n",
-    "        spec[r], ds_avg.velds.U_mag.isel(range=r), freq_range=f_rng, noise=n[r]\n",
-    "    )\n",
-    "\n",
-    "ds_avg[\"auto_spectra\"] = xr.concat(spec, dim=\"range\")\n",
-    "ds_avg[\"noise\"] = xr.concat(n, dim=\"range\")\n",
-    "ds_avg[\"dissipation_rate\"] = xr.concat(e, dim=\"range\")\n",
-    "\n",
-    "del spec, n, e  # save memory"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now that we have a profile timeseries of dissipation rate, we need apply some quality control (QC). Since we can't look at each individual spectrum to ensure we can see the isotropic turbulence cascade, we want to QC the output from `dissipation_rate_LT83` to make sure what was calculated actually falls on a f^(-5/3) slope. We can do this using the function `check_turbulence_cascade_slope`, which uses linear regression on the log-transformed LT83 equation (ref. to Lumley and Terray, 1983, see docstring) to calculate the spectral slope for the given frequency range. \n",
-    "\n",
-    "In our case, we're calculating the slope of each spectrum between 0.2 and 0.5 Hz. We'll use a cutoff of 20% for the error, but this can be lowered if there still appear to be erroneous estimations from visual inspection of the spectra."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Quality control dissipation rate estimation\n",
-    "slope = avg_tool.check_turbulence_cascade_slope(\n",
-    "    ds_avg[\"auto_spectra\"], freq_range=f_rng\n",
-    ")\n",
-    "\n",
-    "# Check that percent difference from -5/3 is not greater than 20%\n",
-    "mask = abs((slope[0].values - (-5 / 3)) / (-5 / 3)) <= 0.20\n",
-    "\n",
-    "# Keep good data\n",
-    "ds_avg[\"dissipation_rate\"] = ds_avg[\"dissipation_rate\"].where(mask)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "If we plot the dissipation rate below in a colormap, we can see that the profile map has a lot of missing data. One of the reasons is that the 1 Hz sampling rate doesn't provide enough information needed to make dissipation rate estimations, and the other part is that turbulence measurements push the boundaries of what ADCPs are capable of.\n",
-    "\n",
-    "Also, 1x10^-4 to 3x10^-4 $m^2/s^3$ is reasonable for a dissipation rate estimate for the 1 - 1.5 m/s current speeds measured here. They can be a magnitude greater for faster flow speeds, typically increase closer to the seafloor, and depend heavily on bathymetry and regional hydrodynamics."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "metadata": {},
-   "outputs": [
+    },
     {
-     "data": {
-      "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x249c4a40f50>"
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## 3. Average the Data\n",
+        "\n",
+        "As this deployment was configured in \"burst mode\", a standard step in the analysis process is to average the velocity data into time bins. \n",
+        "\n",
+        "However, if the instrument was set up in an \"averaging mode\" (where a specific profile and/or average interval was set, for instance, averaging 5 minutes of data every 30 minutes), this step would have been performed within the ADCP during deployment and can thus be skipped.\n",
+        "\n",
+        "To average the data into time bins (also known as ensembles), you should first initialize the binning tool `ADPBinner`. The parameter \"n_bin\" represents the number of data points in each ensemble. In this case, we're dealing with 300 seconds' worth of data. The \"fs\" parameter stands for the sampling frequency, which for this deployment is 1 Hz. Once the binning tool is initialized, you can use the `bin_average` function to average the data into ensembles."
       ]
-     },
-     "execution_count": 35,
-     "metadata": {},
-     "output_type": "execute_result"
     },
     {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
+      "cell_type": "code",
+      "execution_count": 18,
+      "metadata": {
+        "scrolled": true
+      },
+      "outputs": [],
+      "source": [
+        "window = 300 # seconds\n",
+        "avg_tool = api.ADPBinner(n_bin=ds.fs * window, fs=ds.fs)\n",
+        "ds_avg = avg_tool.bin_average(ds)"
       ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "ds_avg[\"dissipation_rate\"].plot(cmap=\"turbo\", ylim=(0, 11))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 7.5 Noise-Corrected Turbulence Intensity\n",
-    "\n",
-    "Now that we've calculated the noise floor for each ping, we can recalculate TI and include subtracting instrument noise using the `turbulence_intensity` function. If we subtract this from the non-noise corrected function, we can see there's a large difference\n",
-    "at slower slow speeds, but the average difference is about 0.008 (0.8%). Notice this will also remove measurements where noise is \n",
-    "high."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "metadata": {},
-   "outputs": [
+    },
     {
-     "data": {
-      "text/plain": [
-       "Text(0.5, 1.0, 'TI Difference')"
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Dateframe, velocity histogram, and contour plot for 5 minute averaged velocity. "
       ]
-     },
-     "execution_count": 36,
-     "metadata": {},
-     "output_type": "execute_result"
     },
     {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
+      "cell_type": "code",
+      "execution_count": 19,
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+              "<defs>\n",
+              "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+              "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+              "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+              "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+              "</symbol>\n",
+              "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+              "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+              "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+              "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+              "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+              "</symbol>\n",
+              "</defs>\n",
+              "</svg>\n",
+              "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
+              "\n",
+              ":root {\n",
+              "  --xr-font-color0: var(\n",
+              "    --jp-content-font-color0,\n",
+              "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+              "  );\n",
+              "  --xr-font-color2: var(\n",
+              "    --jp-content-font-color2,\n",
+              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+              "  );\n",
+              "  --xr-font-color3: var(\n",
+              "    --jp-content-font-color3,\n",
+              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+              "  );\n",
+              "  --xr-border-color: var(\n",
+              "    --jp-border-color2,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+              "  );\n",
+              "  --xr-disabled-color: var(\n",
+              "    --jp-layout-color3,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+              "  );\n",
+              "  --xr-background-color: var(\n",
+              "    --jp-layout-color0,\n",
+              "    var(--pst-color-on-background, white)\n",
+              "  );\n",
+              "  --xr-background-color-row-even: var(\n",
+              "    --jp-layout-color1,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+              "  );\n",
+              "  --xr-background-color-row-odd: var(\n",
+              "    --jp-layout-color2,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+              "  );\n",
+              "}\n",
+              "\n",
+              "html[theme=\"dark\"],\n",
+              "html[data-theme=\"dark\"],\n",
+              "body[data-theme=\"dark\"],\n",
+              "body.vscode-dark {\n",
+              "  --xr-font-color0: var(\n",
+              "    --jp-content-font-color0,\n",
+              "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+              "  );\n",
+              "  --xr-font-color2: var(\n",
+              "    --jp-content-font-color2,\n",
+              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+              "  );\n",
+              "  --xr-font-color3: var(\n",
+              "    --jp-content-font-color3,\n",
+              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+              "  );\n",
+              "  --xr-border-color: var(\n",
+              "    --jp-border-color2,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+              "  );\n",
+              "  --xr-disabled-color: var(\n",
+              "    --jp-layout-color3,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+              "  );\n",
+              "  --xr-background-color: var(\n",
+              "    --jp-layout-color0,\n",
+              "    var(--pst-color-on-background, #111111)\n",
+              "  );\n",
+              "  --xr-background-color-row-even: var(\n",
+              "    --jp-layout-color1,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+              "  );\n",
+              "  --xr-background-color-row-odd: var(\n",
+              "    --jp-layout-color2,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+              "  );\n",
+              "}\n",
+              "\n",
+              ".xr-wrap {\n",
+              "  display: block !important;\n",
+              "  min-width: 300px;\n",
+              "  max-width: 700px;\n",
+              "  line-height: 1.6;\n",
+              "}\n",
+              "\n",
+              ".xr-text-repr-fallback {\n",
+              "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+              "  display: none;\n",
+              "}\n",
+              "\n",
+              ".xr-header {\n",
+              "  padding-top: 6px;\n",
+              "  padding-bottom: 6px;\n",
+              "  margin-bottom: 4px;\n",
+              "  border-bottom: solid 1px var(--xr-border-color);\n",
+              "}\n",
+              "\n",
+              ".xr-header > div,\n",
+              ".xr-header > ul {\n",
+              "  display: inline;\n",
+              "  margin-top: 0;\n",
+              "  margin-bottom: 0;\n",
+              "}\n",
+              "\n",
+              ".xr-obj-type,\n",
+              ".xr-obj-name,\n",
+              ".xr-group-name {\n",
+              "  margin-left: 2px;\n",
+              "  margin-right: 10px;\n",
+              "}\n",
+              "\n",
+              ".xr-group-name::before {\n",
+              "  content: \"📁\";\n",
+              "  padding-right: 0.3em;\n",
+              "}\n",
+              "\n",
+              ".xr-group-name,\n",
+              ".xr-obj-type {\n",
+              "  color: var(--xr-font-color2);\n",
+              "}\n",
+              "\n",
+              ".xr-sections {\n",
+              "  padding-left: 0 !important;\n",
+              "  display: grid;\n",
+              "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+              "  margin-block-start: 0;\n",
+              "  margin-block-end: 0;\n",
+              "}\n",
+              "\n",
+              ".xr-section-item {\n",
+              "  display: contents;\n",
+              "}\n",
+              "\n",
+              ".xr-section-item input {\n",
+              "  display: inline-block;\n",
+              "  opacity: 0;\n",
+              "  height: 0;\n",
+              "  margin: 0;\n",
+              "}\n",
+              "\n",
+              ".xr-section-item input + label {\n",
+              "  color: var(--xr-disabled-color);\n",
+              "  border: 2px solid transparent !important;\n",
+              "}\n",
+              "\n",
+              ".xr-section-item input:enabled + label {\n",
+              "  cursor: pointer;\n",
+              "  color: var(--xr-font-color2);\n",
+              "}\n",
+              "\n",
+              ".xr-section-item input:focus + label {\n",
+              "  border: 2px solid var(--xr-font-color0) !important;\n",
+              "}\n",
+              "\n",
+              ".xr-section-item input:enabled + label:hover {\n",
+              "  color: var(--xr-font-color0);\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary {\n",
+              "  grid-column: 1;\n",
+              "  color: var(--xr-font-color2);\n",
+              "  font-weight: 500;\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary > span {\n",
+              "  display: inline-block;\n",
+              "  padding-left: 0.5em;\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary-in:disabled + label {\n",
+              "  color: var(--xr-font-color2);\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary-in + label:before {\n",
+              "  display: inline-block;\n",
+              "  content: \"►\";\n",
+              "  font-size: 11px;\n",
+              "  width: 15px;\n",
+              "  text-align: center;\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary-in:disabled + label:before {\n",
+              "  color: var(--xr-disabled-color);\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary-in:checked + label:before {\n",
+              "  content: \"▼\";\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary-in:checked + label > span {\n",
+              "  display: none;\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary,\n",
+              ".xr-section-inline-details {\n",
+              "  padding-top: 4px;\n",
+              "}\n",
+              "\n",
+              ".xr-section-inline-details {\n",
+              "  grid-column: 2 / -1;\n",
+              "}\n",
+              "\n",
+              ".xr-section-details {\n",
+              "  display: none;\n",
+              "  grid-column: 1 / -1;\n",
+              "  margin-top: 4px;\n",
+              "  margin-bottom: 5px;\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+              "  display: contents;\n",
+              "}\n",
+              "\n",
+              ".xr-group-box {\n",
+              "  display: inline-grid;\n",
+              "  grid-template-columns: 0px 20px auto;\n",
+              "  width: 100%;\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-vline {\n",
+              "  grid-column-start: 1;\n",
+              "  border-right: 0.2em solid;\n",
+              "  border-color: var(--xr-border-color);\n",
+              "  width: 0px;\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-hline {\n",
+              "  grid-column-start: 2;\n",
+              "  grid-row-start: 1;\n",
+              "  height: 1em;\n",
+              "  width: 20px;\n",
+              "  border-bottom: 0.2em solid;\n",
+              "  border-color: var(--xr-border-color);\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-contents {\n",
+              "  grid-column-start: 3;\n",
+              "}\n",
+              "\n",
+              ".xr-array-wrap {\n",
+              "  grid-column: 1 / -1;\n",
+              "  display: grid;\n",
+              "  grid-template-columns: 20px auto;\n",
+              "}\n",
+              "\n",
+              ".xr-array-wrap > label {\n",
+              "  grid-column: 1;\n",
+              "  vertical-align: top;\n",
+              "}\n",
+              "\n",
+              ".xr-preview {\n",
+              "  color: var(--xr-font-color3);\n",
+              "}\n",
+              "\n",
+              ".xr-array-preview,\n",
+              ".xr-array-data {\n",
+              "  padding: 0 5px !important;\n",
+              "  grid-column: 2;\n",
+              "}\n",
+              "\n",
+              ".xr-array-data,\n",
+              ".xr-array-in:checked ~ .xr-array-preview {\n",
+              "  display: none;\n",
+              "}\n",
+              "\n",
+              ".xr-array-in:checked ~ .xr-array-data,\n",
+              ".xr-array-preview {\n",
+              "  display: inline-block;\n",
+              "}\n",
+              "\n",
+              ".xr-dim-list {\n",
+              "  display: inline-block !important;\n",
+              "  list-style: none;\n",
+              "  padding: 0 !important;\n",
+              "  margin: 0;\n",
+              "}\n",
+              "\n",
+              ".xr-dim-list li {\n",
+              "  display: inline-block;\n",
+              "  padding: 0;\n",
+              "  margin: 0;\n",
+              "}\n",
+              "\n",
+              ".xr-dim-list:before {\n",
+              "  content: \"(\";\n",
+              "}\n",
+              "\n",
+              ".xr-dim-list:after {\n",
+              "  content: \")\";\n",
+              "}\n",
+              "\n",
+              ".xr-dim-list li:not(:last-child):after {\n",
+              "  content: \",\";\n",
+              "  padding-right: 5px;\n",
+              "}\n",
+              "\n",
+              ".xr-has-index {\n",
+              "  font-weight: bold;\n",
+              "}\n",
+              "\n",
+              ".xr-var-list,\n",
+              ".xr-var-item {\n",
+              "  display: contents;\n",
+              "}\n",
+              "\n",
+              ".xr-var-item > div,\n",
+              ".xr-var-item label,\n",
+              ".xr-var-item > .xr-var-name span {\n",
+              "  background-color: var(--xr-background-color-row-even);\n",
+              "  border-color: var(--xr-background-color-row-odd);\n",
+              "  margin-bottom: 0;\n",
+              "  padding-top: 2px;\n",
+              "}\n",
+              "\n",
+              ".xr-var-item > .xr-var-name:hover span {\n",
+              "  padding-right: 5px;\n",
+              "}\n",
+              "\n",
+              ".xr-var-list > li:nth-child(odd) > div,\n",
+              ".xr-var-list > li:nth-child(odd) > label,\n",
+              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+              "  background-color: var(--xr-background-color-row-odd);\n",
+              "  border-color: var(--xr-background-color-row-even);\n",
+              "}\n",
+              "\n",
+              ".xr-var-name {\n",
+              "  grid-column: 1;\n",
+              "}\n",
+              "\n",
+              ".xr-var-dims {\n",
+              "  grid-column: 2;\n",
+              "}\n",
+              "\n",
+              ".xr-var-dtype {\n",
+              "  grid-column: 3;\n",
+              "  text-align: right;\n",
+              "  color: var(--xr-font-color2);\n",
+              "}\n",
+              "\n",
+              ".xr-var-preview {\n",
+              "  grid-column: 4;\n",
+              "}\n",
+              "\n",
+              ".xr-index-preview {\n",
+              "  grid-column: 2 / 5;\n",
+              "  color: var(--xr-font-color2);\n",
+              "}\n",
+              "\n",
+              ".xr-var-name,\n",
+              ".xr-var-dims,\n",
+              ".xr-var-dtype,\n",
+              ".xr-preview,\n",
+              ".xr-attrs dt {\n",
+              "  white-space: nowrap;\n",
+              "  overflow: hidden;\n",
+              "  text-overflow: ellipsis;\n",
+              "  padding-right: 10px;\n",
+              "}\n",
+              "\n",
+              ".xr-var-name:hover,\n",
+              ".xr-var-dims:hover,\n",
+              ".xr-var-dtype:hover,\n",
+              ".xr-attrs dt:hover {\n",
+              "  overflow: visible;\n",
+              "  width: auto;\n",
+              "  z-index: 1;\n",
+              "}\n",
+              "\n",
+              ".xr-var-attrs,\n",
+              ".xr-var-data,\n",
+              ".xr-index-data {\n",
+              "  display: none;\n",
+              "  border-top: 2px dotted var(--xr-background-color);\n",
+              "  padding-bottom: 20px !important;\n",
+              "  padding-top: 10px !important;\n",
+              "}\n",
+              "\n",
+              ".xr-var-attrs-in + label,\n",
+              ".xr-var-data-in + label,\n",
+              ".xr-index-data-in + label {\n",
+              "  padding: 0 1px;\n",
+              "}\n",
+              "\n",
+              ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+              ".xr-var-data-in:checked ~ .xr-var-data,\n",
+              ".xr-index-data-in:checked ~ .xr-index-data {\n",
+              "  display: block;\n",
+              "}\n",
+              "\n",
+              ".xr-var-data > table {\n",
+              "  float: right;\n",
+              "}\n",
+              "\n",
+              ".xr-var-data > pre,\n",
+              ".xr-index-data > pre,\n",
+              ".xr-var-data > table > tbody > tr {\n",
+              "  background-color: transparent !important;\n",
+              "}\n",
+              "\n",
+              ".xr-var-name span,\n",
+              ".xr-var-data,\n",
+              ".xr-index-name div,\n",
+              ".xr-index-data,\n",
+              ".xr-attrs {\n",
+              "  padding-left: 25px !important;\n",
+              "}\n",
+              "\n",
+              ".xr-attrs,\n",
+              ".xr-var-attrs,\n",
+              ".xr-var-data,\n",
+              ".xr-index-data {\n",
+              "  grid-column: 1 / -1;\n",
+              "}\n",
+              "\n",
+              "dl.xr-attrs {\n",
+              "  padding: 0;\n",
+              "  margin: 0;\n",
+              "  display: grid;\n",
+              "  grid-template-columns: 125px auto;\n",
+              "}\n",
+              "\n",
+              ".xr-attrs dt,\n",
+              ".xr-attrs dd {\n",
+              "  padding: 0;\n",
+              "  margin: 0;\n",
+              "  float: left;\n",
+              "  padding-right: 10px;\n",
+              "  width: auto;\n",
+              "}\n",
+              "\n",
+              ".xr-attrs dt {\n",
+              "  font-weight: normal;\n",
+              "  grid-column: 1;\n",
+              "}\n",
+              "\n",
+              ".xr-attrs dt:hover span {\n",
+              "  display: inline-block;\n",
+              "  background: var(--xr-background-color);\n",
+              "  padding-right: 10px;\n",
+              "}\n",
+              "\n",
+              ".xr-attrs dd {\n",
+              "  grid-column: 2;\n",
+              "  white-space: pre-wrap;\n",
+              "  word-break: break-all;\n",
+              "}\n",
+              "\n",
+              ".xr-icon-database,\n",
+              ".xr-icon-file-text2,\n",
+              ".xr-no-icon {\n",
+              "  display: inline-block;\n",
+              "  vertical-align: middle;\n",
+              "  width: 1em;\n",
+              "  height: 1.5em !important;\n",
+              "  stroke-width: 0;\n",
+              "  stroke: currentColor;\n",
+              "  fill: currentColor;\n",
+              "}\n",
+              "\n",
+              ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+              ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+              ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+              "  color: var(--xr-font-color0);\n",
+              "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+              "  stroke-width: 0.8px;\n",
+              "}\n",
+              "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 379kB\n",
+              "Dimensions:         (time: 183, dirIMU: 3, dir: 4, range: 28, beam: 4,\n",
+              "                     earth: 3, inst: 3, q: 4, time_b5: 183, range_b5: 28)\n",
+              "Coordinates:\n",
+              "  * time            (time) datetime64[ns] 1kB 2020-08-15T00:22:30.001030683 ....\n",
+              "  * dirIMU          (dirIMU) &lt;U10 120B &#x27;streamwise&#x27; &#x27;x-stream&#x27; &#x27;vert&#x27;\n",
+              "  * dir             (dir) &lt;U10 160B &#x27;streamwise&#x27; &#x27;x-stream&#x27; &#x27;vert1&#x27; &#x27;vert2&#x27;\n",
+              "  * range           (range) float64 224B 1.2 1.7 2.2 2.7 ... 13.2 13.7 14.2 14.7\n",
+              "  * beam            (beam) int32 16B 1 2 3 4\n",
+              "  * earth           (earth) &lt;U1 12B &#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;\n",
+              "  * inst            (inst) &lt;U1 12B &#x27;X&#x27; &#x27;Y&#x27; &#x27;Z&#x27;\n",
+              "  * q               (q) &lt;U1 16B &#x27;w&#x27; &#x27;x&#x27; &#x27;y&#x27; &#x27;z&#x27;\n",
+              "  * time_b5         (time_b5) datetime64[ns] 1kB 2020-08-15T00:22:29.93849515...\n",
+              "  * range_b5        (range_b5) float64 224B 1.2 1.7 2.2 2.7 ... 13.7 14.2 14.7\n",
+              "Data variables: (12/38)\n",
+              "    c_sound         (time) float32 732B 1.502e+03 1.502e+03 ... 1.498e+03\n",
+              "    temp            (time) float32 732B 14.49 14.59 14.54 ... 13.62 13.56 13.5\n",
+              "    pressure        (time) float32 732B 9.712 9.699 9.685 ... 9.58 9.584 9.591\n",
+              "    mag             (dirIMU, time) float32 2kB 3.534 3.565 ... -197.1 -197.1\n",
+              "    accel           (dirIMU, time) float32 2kB -1.261 -1.263 ... 9.714 9.712\n",
+              "    batt            (time) float32 732B 16.48 16.48 16.48 ... 16.25 16.26 16.26\n",
+              "    ...              ...\n",
+              "    heading         (time) float32 732B 3.287 3.261 3.337 ... 3.331 3.352 3.352\n",
+              "    pitch           (time) float32 732B -0.05523 -0.07217 ... -0.04288 -0.0429\n",
+              "    roll            (time) float32 732B -7.414 -7.424 -7.404 ... -6.433 -6.436\n",
+              "    water_density   (time) float32 732B 1.023e+03 1.023e+03 ... 1.023e+03\n",
+              "    depth           (time) float32 732B 10.28 10.26 10.25 ... 10.14 10.15 10.15\n",
+              "    U_std           (range, time) float32 20kB 0.04232 0.04293 ... nan nan\n",
+              "Attributes: (12/41)\n",
+              "    fs:                        1\n",
+              "    n_bin:                     300\n",
+              "    n_fft:                     300\n",
+              "    description:               Binned averages calculated from ensembles of s...\n",
+              "    filehead_config:           {&quot;CLOCKSTR&quot;: {&quot;TIME&quot;: &quot;\\&quot;2020-08-13 13:56:21\\&quot;...\n",
+              "    inst_model:                Signature1000\n",
+              "    ...                        ...\n",
+              "    has_imu:                   1\n",
+              "    beam_angle:                25\n",
+              "    range_offset:              0.6\n",
+              "    declination:               15.8\n",
+              "    declination_in_orientmat:  1\n",
+              "    principal_heading:         11.1898</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1811e13e-f880-4011-b109-b340e090ae0a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1811e13e-f880-4011-b109-b340e090ae0a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 183</li><li><span class='xr-has-index'>dirIMU</span>: 3</li><li><span class='xr-has-index'>dir</span>: 4</li><li><span class='xr-has-index'>range</span>: 28</li><li><span class='xr-has-index'>beam</span>: 4</li><li><span class='xr-has-index'>earth</span>: 3</li><li><span class='xr-has-index'>inst</span>: 3</li><li><span class='xr-has-index'>q</span>: 4</li><li><span class='xr-has-index'>time_b5</span>: 183</li><li><span class='xr-has-index'>range_b5</span>: 28</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-dc51f27a-6892-46c8-9f35-4aca9d0bb526' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dc51f27a-6892-46c8-9f35-4aca9d0bb526' class='xr-section-summary' >Coordinates: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-08-15T00:22:30.001030683 .....</div><input id='attrs-3969c29d-3f99-4470-9c2b-282fc5be82c7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3969c29d-3f99-4470-9c2b-282fc5be82c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-757c60e7-45bc-469c-b109-075c6d118451' class='xr-var-data-in' type='checkbox'><label for='data-757c60e7-45bc-469c-b109-075c6d118451' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-08-15T00:22:30.001030683&#x27;, &#x27;2020-08-15T00:27:30.001019239&#x27;,\n",
+              "       &#x27;2020-08-15T00:32:30.001010656&#x27;, &#x27;2020-08-15T00:37:30.001015901&#x27;,\n",
+              "       &#x27;2020-08-15T00:42:30.001019954&#x27;, &#x27;2020-08-15T00:47:30.001018524&#x27;,\n",
+              "       &#x27;2020-08-15T00:52:30.001013994&#x27;, &#x27;2020-08-15T00:57:30.001026630&#x27;,\n",
+              "       &#x27;2020-08-15T01:02:30.001023769&#x27;, &#x27;2020-08-15T01:07:30.001024723&#x27;,\n",
+              "       &#x27;2020-08-15T01:12:30.001034259&#x27;, &#x27;2020-08-15T01:17:30.001035451&#x27;,\n",
+              "       &#x27;2020-08-15T01:22:30.001024961&#x27;, &#x27;2020-08-15T01:27:30.001025438&#x27;,\n",
+              "       &#x27;2020-08-15T01:32:30.001025676&#x27;, &#x27;2020-08-15T01:37:30.001031875&#x27;,\n",
+              "       &#x27;2020-08-15T01:42:30.001029014&#x27;, &#x27;2020-08-15T01:47:30.001030683&#x27;,\n",
+              "       &#x27;2020-08-15T01:52:30.001033067&#x27;, &#x27;2020-08-15T01:57:30.001029014&#x27;,\n",
+              "       &#x27;2020-08-15T02:02:30.001028299&#x27;, &#x27;2020-08-15T02:07:30.001020908&#x27;,\n",
+              "       &#x27;2020-08-15T02:12:30.001016378&#x27;, &#x27;2020-08-15T02:17:30.001012802&#x27;,\n",
+              "       &#x27;2020-08-15T02:22:30.001014709&#x27;, &#x27;2020-08-15T02:27:30.001018524&#x27;,\n",
+              "       &#x27;2020-08-15T02:32:30.001022577&#x27;, &#x27;2020-08-15T02:37:30.001020193&#x27;,\n",
+              "       &#x27;2020-08-15T02:42:30.001002311&#x27;, &#x27;2020-08-15T02:47:30.001003503&#x27;,\n",
+              "       &#x27;2020-08-15T02:52:30.001002550&#x27;, &#x27;2020-08-15T02:57:30.001000165&#x27;,\n",
+              "       &#x27;2020-08-15T03:02:30.001000642&#x27;, &#x27;2020-08-15T03:07:30.001000404&#x27;,\n",
+              "       &#x27;2020-08-15T03:12:30.000999450&#x27;, &#x27;2020-08-15T03:17:30.001003026&#x27;,\n",
+              "       &#x27;2020-08-15T03:22:30.001004695&#x27;, &#x27;2020-08-15T03:27:30.001004219&#x27;,\n",
+              "       &#x27;2020-08-15T03:32:30.001001834&#x27;, &#x27;2020-08-15T03:37:30.001005887&#x27;,\n",
+              "       &#x27;2020-08-15T03:42:30.001003742&#x27;, &#x27;2020-08-15T03:47:30.001000642&#x27;,\n",
+              "       &#x27;2020-08-15T03:52:30.001000404&#x27;, &#x27;2020-08-15T03:57:30.001001834&#x27;,\n",
+              "       &#x27;2020-08-15T04:02:30.001001834&#x27;, &#x27;2020-08-15T04:07:30.001001358&#x27;,\n",
+              "       &#x27;2020-08-15T04:12:30.001004695&#x27;, &#x27;2020-08-15T04:17:30.001001358&#x27;,\n",
+              "       &#x27;2020-08-15T04:22:30.001009464&#x27;, &#x27;2020-08-15T04:27:30.001006603&#x27;,\n",
+              "       &#x27;2020-08-15T04:32:30.001002550&#x27;, &#x27;2020-08-15T04:37:30.001004695&#x27;,\n",
+              "       &#x27;2020-08-15T04:42:30.001004934&#x27;, &#x27;2020-08-15T04:47:30.001004934&#x27;,\n",
+              "       &#x27;2020-08-15T04:52:30.001004457&#x27;, &#x27;2020-08-15T04:57:30.001002788&#x27;,\n",
+              "       &#x27;2020-08-15T05:02:30.001008749&#x27;, &#x27;2020-08-15T05:07:30.001017570&#x27;,\n",
+              "       &#x27;2020-08-15T05:12:30.001015186&#x27;, &#x27;2020-08-15T05:17:30.001005887&#x27;,\n",
+              "       &#x27;2020-08-15T05:22:30.001001358&#x27;, &#x27;2020-08-15T05:27:30.001011610&#x27;,\n",
+              "       &#x27;2020-08-15T05:32:30.001020431&#x27;, &#x27;2020-08-15T05:37:30.001011848&#x27;,\n",
+              "       &#x27;2020-08-15T05:42:30.001020908&#x27;, &#x27;2020-08-15T05:47:30.001013517&#x27;,\n",
+              "       &#x27;2020-08-15T05:52:30.001021146&#x27;, &#x27;2020-08-15T05:57:30.001010656&#x27;,\n",
+              "       &#x27;2020-08-15T06:02:30.001004219&#x27;, &#x27;2020-08-15T06:07:30.001012563&#x27;,\n",
+              "       &#x27;2020-08-15T06:12:30.001021862&#x27;, &#x27;2020-08-15T06:17:30.001018524&#x27;,\n",
+              "       &#x27;2020-08-15T06:22:30.001016139&#x27;, &#x27;2020-08-15T06:27:30.001016616&#x27;,\n",
+              "       &#x27;2020-08-15T06:32:30.001012325&#x27;, &#x27;2020-08-15T06:37:30.001016378&#x27;,\n",
+              "       &#x27;2020-08-15T06:42:30.001021862&#x27;, &#x27;2020-08-15T06:47:30.001023769&#x27;,\n",
+              "       &#x27;2020-08-15T06:52:30.001024007&#x27;, &#x27;2020-08-15T06:57:30.001014709&#x27;,\n",
+              "       &#x27;2020-08-15T07:02:30.001006126&#x27;, &#x27;2020-08-15T07:07:30.001019477&#x27;,\n",
+              "       &#x27;2020-08-15T07:12:30.001013994&#x27;, &#x27;2020-08-15T07:17:30.001016855&#x27;,\n",
+              "       &#x27;2020-08-15T07:22:30.001019239&#x27;, &#x27;2020-08-15T07:27:30.001024961&#x27;,\n",
+              "       &#x27;2020-08-15T07:32:30.001011610&#x27;, &#x27;2020-08-15T07:37:30.001024484&#x27;,\n",
+              "       &#x27;2020-08-15T07:42:30.001018524&#x27;, &#x27;2020-08-15T07:47:30.001029968&#x27;,\n",
+              "       &#x27;2020-08-15T07:52:30.001009464&#x27;, &#x27;2020-08-15T07:57:30.001014232&#x27;,\n",
+              "       &#x27;2020-08-15T08:02:30.001011610&#x27;, &#x27;2020-08-15T08:07:30.001028299&#x27;,\n",
+              "       &#x27;2020-08-15T08:12:30.001027107&#x27;, &#x27;2020-08-15T08:17:30.001024723&#x27;,\n",
+              "       &#x27;2020-08-15T08:22:30.001022577&#x27;, &#x27;2020-08-15T08:27:30.001018047&#x27;,\n",
+              "       &#x27;2020-08-15T08:32:30.001019477&#x27;, &#x27;2020-08-15T08:37:30.001017808&#x27;,\n",
+              "       &#x27;2020-08-15T08:42:30.001018762&#x27;, &#x27;2020-08-15T08:47:30.001015186&#x27;,\n",
+              "       &#x27;2020-08-15T08:52:30.001020431&#x27;, &#x27;2020-08-15T08:57:30.001026630&#x27;,\n",
+              "       &#x27;2020-08-15T09:02:30.001021146&#x27;, &#x27;2020-08-15T09:07:30.001016378&#x27;,\n",
+              "       &#x27;2020-08-15T09:12:30.001025676&#x27;, &#x27;2020-08-15T09:17:30.001024246&#x27;,\n",
+              "       &#x27;2020-08-15T09:22:30.001026630&#x27;, &#x27;2020-08-15T09:27:30.001017570&#x27;,\n",
+              "       &#x27;2020-08-15T09:32:30.001015901&#x27;, &#x27;2020-08-15T09:37:30.001016139&#x27;,\n",
+              "       &#x27;2020-08-15T09:42:30.001018762&#x27;, &#x27;2020-08-15T09:47:30.001014709&#x27;,\n",
+              "       &#x27;2020-08-15T09:52:30.001016378&#x27;, &#x27;2020-08-15T09:57:30.001024961&#x27;,\n",
+              "       &#x27;2020-08-15T10:02:30.001021146&#x27;, &#x27;2020-08-15T10:07:30.001022100&#x27;,\n",
+              "       &#x27;2020-08-15T10:12:30.001017808&#x27;, &#x27;2020-08-15T10:17:30.001013994&#x27;,\n",
+              "       &#x27;2020-08-15T10:22:30.001018762&#x27;, &#x27;2020-08-15T10:27:30.001021385&#x27;,\n",
+              "       &#x27;2020-08-15T10:32:30.001016855&#x27;, &#x27;2020-08-15T10:37:30.001021385&#x27;,\n",
+              "       &#x27;2020-08-15T10:42:30.001015186&#x27;, &#x27;2020-08-15T10:47:30.001020193&#x27;,\n",
+              "       &#x27;2020-08-15T10:52:30.001021623&#x27;, &#x27;2020-08-15T10:57:30.001021862&#x27;,\n",
+              "       &#x27;2020-08-15T11:02:30.001018047&#x27;, &#x27;2020-08-15T11:07:30.001021146&#x27;,\n",
+              "       &#x27;2020-08-15T11:12:30.001011848&#x27;, &#x27;2020-08-15T11:17:30.001015901&#x27;,\n",
+              "       &#x27;2020-08-15T11:22:30.001014232&#x27;, &#x27;2020-08-15T11:27:30.001015663&#x27;,\n",
+              "       &#x27;2020-08-15T11:32:30.001012325&#x27;, &#x27;2020-08-15T11:37:30.001004457&#x27;,\n",
+              "       &#x27;2020-08-15T11:42:30.001018524&#x27;, &#x27;2020-08-15T11:47:30.001023292&#x27;,\n",
+              "       &#x27;2020-08-15T11:52:30.001009464&#x27;, &#x27;2020-08-15T11:57:30.001002311&#x27;,\n",
+              "       &#x27;2020-08-15T12:02:30.001004695&#x27;, &#x27;2020-08-15T12:07:30.001007556&#x27;,\n",
+              "       &#x27;2020-08-15T12:12:30.001012086&#x27;, &#x27;2020-08-15T12:17:30.001007080&#x27;,\n",
+              "       &#x27;2020-08-15T12:22:30.001011371&#x27;, &#x27;2020-08-15T12:27:30.001014471&#x27;,\n",
+              "       &#x27;2020-08-15T12:32:30.001016378&#x27;, &#x27;2020-08-15T12:37:30.001012563&#x27;,\n",
+              "       &#x27;2020-08-15T12:42:30.001015901&#x27;, &#x27;2020-08-15T12:47:30.001010417&#x27;,\n",
+              "       &#x27;2020-08-15T12:52:30.001009464&#x27;, &#x27;2020-08-15T12:57:30.001010894&#x27;,\n",
+              "       &#x27;2020-08-15T13:02:30.001016855&#x27;, &#x27;2020-08-15T13:07:30.001020908&#x27;,\n",
+              "       &#x27;2020-08-15T13:12:30.001018762&#x27;, &#x27;2020-08-15T13:17:30.001018762&#x27;,\n",
+              "       &#x27;2020-08-15T13:22:30.001018047&#x27;, &#x27;2020-08-15T13:27:30.001013517&#x27;,\n",
+              "       &#x27;2020-08-15T13:32:30.001015424&#x27;, &#x27;2020-08-15T13:37:30.001009225&#x27;,\n",
+              "       &#x27;2020-08-15T13:42:30.001011133&#x27;, &#x27;2020-08-15T13:47:30.001008749&#x27;,\n",
+              "       &#x27;2020-08-15T13:52:30.001019477&#x27;, &#x27;2020-08-15T13:57:30.001022338&#x27;,\n",
+              "       &#x27;2020-08-15T14:02:30.001019716&#x27;, &#x27;2020-08-15T14:07:30.001026868&#x27;,\n",
+              "       &#x27;2020-08-15T14:12:30.001021623&#x27;, &#x27;2020-08-15T14:17:30.001034021&#x27;,\n",
+              "       &#x27;2020-08-15T14:22:30.001024961&#x27;, &#x27;2020-08-15T14:27:30.001032352&#x27;,\n",
+              "       &#x27;2020-08-15T14:32:30.001023292&#x27;, &#x27;2020-08-15T14:37:30.001024484&#x27;,\n",
+              "       &#x27;2020-08-15T14:42:30.001044034&#x27;, &#x27;2020-08-15T14:47:30.001032352&#x27;,\n",
+              "       &#x27;2020-08-15T14:52:30.001019239&#x27;, &#x27;2020-08-15T14:57:30.001032829&#x27;,\n",
+              "       &#x27;2020-08-15T15:02:30.001021146&#x27;, &#x27;2020-08-15T15:07:30.001027345&#x27;,\n",
+              "       &#x27;2020-08-15T15:12:30.001029014&#x27;, &#x27;2020-08-15T15:17:30.001026630&#x27;,\n",
+              "       &#x27;2020-08-15T15:22:30.001026153&#x27;, &#x27;2020-08-15T15:27:30.001022577&#x27;,\n",
+              "       &#x27;2020-08-15T15:32:30.001030683&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dirIMU</span></div><div class='xr-var-dims'>(dirIMU)</div><div class='xr-var-dtype'>&lt;U10</div><div class='xr-var-preview xr-preview'>&#x27;streamwise&#x27; &#x27;x-stream&#x27; &#x27;vert&#x27;</div><input id='attrs-d2b52450-e391-4d06-90f0-0cb100d2f2f2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d2b52450-e391-4d06-90f0-0cb100d2f2f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32c14244-7cdf-4e3e-90df-be017aa63f72' class='xr-var-data-in' type='checkbox'><label for='data-32c14244-7cdf-4e3e-90df-be017aa63f72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;streamwise&#x27;, &#x27;x-stream&#x27;, &#x27;vert&#x27;], dtype=&#x27;&lt;U10&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dir</span></div><div class='xr-var-dims'>(dir)</div><div class='xr-var-dtype'>&lt;U10</div><div class='xr-var-preview xr-preview'>&#x27;streamwise&#x27; &#x27;x-stream&#x27; ... &#x27;vert2&#x27;</div><input id='attrs-7d3f1d76-3df8-454f-86e3-064b400d7ae5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7d3f1d76-3df8-454f-86e3-064b400d7ae5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b0419ba-1197-4d3b-9d05-4fa146751fd4' class='xr-var-data-in' type='checkbox'><label for='data-9b0419ba-1197-4d3b-9d05-4fa146751fd4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;streamwise&#x27;, &#x27;x-stream&#x27;, &#x27;vert1&#x27;, &#x27;vert2&#x27;], dtype=&#x27;&lt;U10&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2 1.7 2.2 2.7 ... 13.7 14.2 14.7</div><input id='attrs-9175ac6e-8477-4ec6-88c6-762c6864e8f0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9175ac6e-8477-4ec6-88c6-762c6864e8f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-889ace0f-984b-4d07-a712-d467bec0921d' class='xr-var-data-in' type='checkbox'><label for='data-889ace0f-984b-4d07-a712-d467bec0921d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1.2,  1.7,  2.2,  2.7,  3.2,  3.7,  4.2,  4.7,  5.2,  5.7,  6.2,  6.7,\n",
+              "        7.2,  7.7,  8.2,  8.7,  9.2,  9.7, 10.2, 10.7, 11.2, 11.7, 12.2, 12.7,\n",
+              "       13.2, 13.7, 14.2, 14.7])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beam</span></div><div class='xr-var-dims'>(beam)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-8600c4a1-8c7a-4709-9154-cd20b7782c4f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8600c4a1-8c7a-4709-9154-cd20b7782c4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56b50da3-96cd-408f-a003-37f36a45e561' class='xr-var-data-in' type='checkbox'><label for='data-56b50da3-96cd-408f-a003-37f36a45e561' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>earth</span></div><div class='xr-var-dims'>(earth)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;</div><input id='attrs-06294a44-81e7-4d5d-b666-6f287898e8c2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-06294a44-81e7-4d5d-b666-6f287898e8c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f07b72c-afd6-4db8-965b-827699946c3f' class='xr-var-data-in' type='checkbox'><label for='data-8f07b72c-afd6-4db8-965b-827699946c3f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>inst</span></div><div class='xr-var-dims'>(inst)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;X&#x27; &#x27;Y&#x27; &#x27;Z&#x27;</div><input id='attrs-e6d831ce-bf06-4075-9e3f-685100f7941b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e6d831ce-bf06-4075-9e3f-685100f7941b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cf4aa13-7750-4c5c-af88-d64dd89c423f' class='xr-var-data-in' type='checkbox'><label for='data-5cf4aa13-7750-4c5c-af88-d64dd89c423f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;X&#x27;, &#x27;Y&#x27;, &#x27;Z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>q</span></div><div class='xr-var-dims'>(q)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;w&#x27; &#x27;x&#x27; &#x27;y&#x27; &#x27;z&#x27;</div><input id='attrs-57294f19-d384-4b0c-b7ec-2df7da1fc422' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-57294f19-d384-4b0c-b7ec-2df7da1fc422' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ff1bb7f-9c0f-408d-b60f-4df13caebe38' class='xr-var-data-in' type='checkbox'><label for='data-8ff1bb7f-9c0f-408d-b60f-4df13caebe38' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;w&#x27;, &#x27;x&#x27;, &#x27;y&#x27;, &#x27;z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-08-15T00:22:29.938495159 .....</div><input id='attrs-12dc82a3-3656-44d2-9aa8-be453b1554e6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-12dc82a3-3656-44d2-9aa8-be453b1554e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10ace266-3709-4d44-bb57-be6e9383e03b' class='xr-var-data-in' type='checkbox'><label for='data-10ace266-3709-4d44-bb57-be6e9383e03b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-08-15T00:22:29.938495159&#x27;, &#x27;2020-08-15T00:27:29.938490867&#x27;,\n",
+              "       &#x27;2020-08-15T00:32:29.938487529&#x27;, &#x27;2020-08-15T00:37:29.938496828&#x27;,\n",
+              "       &#x27;2020-08-15T00:42:29.938495397&#x27;, &#x27;2020-08-15T00:47:29.938496589&#x27;,\n",
+              "       &#x27;2020-08-15T00:52:29.938497781&#x27;, &#x27;2020-08-15T00:57:29.938495397&#x27;,\n",
+              "       &#x27;2020-08-15T01:02:29.938493013&#x27;, &#x27;2020-08-15T01:07:29.938492536&#x27;,\n",
+              "       &#x27;2020-08-15T01:12:29.938490867&#x27;, &#x27;2020-08-15T01:17:29.938497781&#x27;,\n",
+              "       &#x27;2020-08-15T01:22:29.938496112&#x27;, &#x27;2020-08-15T01:27:29.938498497&#x27;,\n",
+              "       &#x27;2020-08-15T01:32:29.938496589&#x27;, &#x27;2020-08-15T01:37:29.938497781&#x27;,\n",
+              "       &#x27;2020-08-15T01:42:29.938495635&#x27;, &#x27;2020-08-15T01:47:29.938497066&#x27;,\n",
+              "       &#x27;2020-08-15T01:52:29.938498735&#x27;, &#x27;2020-08-15T01:57:29.938496112&#x27;,\n",
+              "       &#x27;2020-08-15T02:02:29.938496589&#x27;, &#x27;2020-08-15T02:07:29.938494920&#x27;,\n",
+              "       &#x27;2020-08-15T02:12:29.938497304&#x27;, &#x27;2020-08-15T02:17:29.938496828&#x27;,\n",
+              "       &#x27;2020-08-15T02:22:29.938496112&#x27;, &#x27;2020-08-15T02:27:29.938496828&#x27;,\n",
+              "       &#x27;2020-08-15T02:32:29.938496112&#x27;, &#x27;2020-08-15T02:37:29.938497304&#x27;,\n",
+              "       &#x27;2020-08-15T02:42:29.938495159&#x27;, &#x27;2020-08-15T02:47:29.938495635&#x27;,\n",
+              "       &#x27;2020-08-15T02:52:29.938490867&#x27;, &#x27;2020-08-15T02:57:29.938492059&#x27;,\n",
+              "       &#x27;2020-08-15T03:02:29.938489675&#x27;, &#x27;2020-08-15T03:07:29.938488245&#x27;,\n",
+              "       &#x27;2020-08-15T03:12:29.938485622&#x27;, &#x27;2020-08-15T03:17:29.938485622&#x27;,\n",
+              "       &#x27;2020-08-15T03:22:29.938488245&#x27;, &#x27;2020-08-15T03:27:29.938485145&#x27;,\n",
+              "       &#x27;2020-08-15T03:32:29.938486099&#x27;, &#x27;2020-08-15T03:37:29.938482046&#x27;,\n",
+              "       &#x27;2020-08-15T03:42:29.938489437&#x27;, &#x27;2020-08-15T03:47:29.938489437&#x27;,\n",
+              "       &#x27;2020-08-15T03:52:29.938485860&#x27;, &#x27;2020-08-15T03:57:29.938491582&#x27;,\n",
+              "       &#x27;2020-08-15T04:02:29.938488006&#x27;, &#x27;2020-08-15T04:07:29.938491106&#x27;,\n",
+              "       &#x27;2020-08-15T04:12:29.938492059&#x27;, &#x27;2020-08-15T04:17:29.938487052&#x27;,\n",
+              "       &#x27;2020-08-15T04:22:29.938489675&#x27;, &#x27;2020-08-15T04:27:29.938491582&#x27;,\n",
+              "       &#x27;2020-08-15T04:32:29.938491106&#x27;, &#x27;2020-08-15T04:37:29.938493251&#x27;,\n",
+              "       &#x27;2020-08-15T04:42:29.938489675&#x27;, &#x27;2020-08-15T04:47:29.938492059&#x27;,\n",
+              "       &#x27;2020-08-15T04:52:29.938491582&#x27;, &#x27;2020-08-15T04:57:29.938495397&#x27;,\n",
+              "       &#x27;2020-08-15T05:02:29.938491106&#x27;, &#x27;2020-08-15T05:07:29.938499212&#x27;,\n",
+              "       &#x27;2020-08-15T05:12:29.938491821&#x27;, &#x27;2020-08-15T05:17:29.938493490&#x27;,\n",
+              "       &#x27;2020-08-15T05:22:29.938495397&#x27;, &#x27;2020-08-15T05:27:29.938490390&#x27;,\n",
+              "       &#x27;2020-08-15T05:32:29.938493967&#x27;, &#x27;2020-08-15T05:37:29.938493728&#x27;,\n",
+              "       &#x27;2020-08-15T05:42:29.938491582&#x27;, &#x27;2020-08-15T05:47:29.938493013&#x27;,\n",
+              "       &#x27;2020-08-15T05:52:29.938495159&#x27;, &#x27;2020-08-15T05:57:29.938494920&#x27;,\n",
+              "       &#x27;2020-08-15T06:02:29.938493013&#x27;, &#x27;2020-08-15T06:07:29.938496589&#x27;,\n",
+              "       &#x27;2020-08-15T06:12:29.938494920&#x27;, &#x27;2020-08-15T06:17:29.938495397&#x27;,\n",
+              "       &#x27;2020-08-15T06:22:29.938493728&#x27;, &#x27;2020-08-15T06:27:29.938495397&#x27;,\n",
+              "       &#x27;2020-08-15T06:32:29.938492536&#x27;, &#x27;2020-08-15T06:37:29.938495159&#x27;,\n",
+              "       &#x27;2020-08-15T06:42:29.938496112&#x27;, &#x27;2020-08-15T06:47:29.938497304&#x27;,\n",
+              "       &#x27;2020-08-15T06:52:29.938496112&#x27;, &#x27;2020-08-15T06:57:29.938493728&#x27;,\n",
+              "       &#x27;2020-08-15T07:02:29.938497304&#x27;, &#x27;2020-08-15T07:07:29.938494920&#x27;,\n",
+              "       &#x27;2020-08-15T07:12:29.938492059&#x27;, &#x27;2020-08-15T07:17:29.938493490&#x27;,\n",
+              "       &#x27;2020-08-15T07:22:29.938493967&#x27;, &#x27;2020-08-15T07:27:29.938497304&#x27;,\n",
+              "       &#x27;2020-08-15T07:32:29.938494443&#x27;, &#x27;2020-08-15T07:37:29.938494920&#x27;,\n",
+              "       &#x27;2020-08-15T07:42:29.938495635&#x27;, &#x27;2020-08-15T07:47:29.938493967&#x27;,\n",
+              "       &#x27;2020-08-15T07:52:29.938492298&#x27;, &#x27;2020-08-15T07:57:29.938489675&#x27;,\n",
+              "       &#x27;2020-08-15T08:02:29.938493013&#x27;, &#x27;2020-08-15T08:07:29.938493728&#x27;,\n",
+              "       &#x27;2020-08-15T08:12:29.938497066&#x27;, &#x27;2020-08-15T08:17:29.938497781&#x27;,\n",
+              "       &#x27;2020-08-15T08:22:29.938495159&#x27;, &#x27;2020-08-15T08:27:29.938492774&#x27;,\n",
+              "       &#x27;2020-08-15T08:32:29.938495397&#x27;, &#x27;2020-08-15T08:37:29.938494920&#x27;,\n",
+              "       &#x27;2020-08-15T08:42:29.938494920&#x27;, &#x27;2020-08-15T08:47:29.938494682&#x27;,\n",
+              "       &#x27;2020-08-15T08:52:29.938494443&#x27;, &#x27;2020-08-15T08:57:29.938491821&#x27;,\n",
+              "       &#x27;2020-08-15T09:02:29.938497066&#x27;, &#x27;2020-08-15T09:07:29.938495397&#x27;,\n",
+              "       &#x27;2020-08-15T09:12:29.938495397&#x27;, &#x27;2020-08-15T09:17:29.938494920&#x27;,\n",
+              "       &#x27;2020-08-15T09:22:29.938498020&#x27;, &#x27;2020-08-15T09:27:29.938495397&#x27;,\n",
+              "       &#x27;2020-08-15T09:32:29.938495159&#x27;, &#x27;2020-08-15T09:37:29.938498735&#x27;,\n",
+              "       &#x27;2020-08-15T09:42:29.938493728&#x27;, &#x27;2020-08-15T09:47:29.938495635&#x27;,\n",
+              "       &#x27;2020-08-15T09:52:29.938500642&#x27;, &#x27;2020-08-15T09:57:29.938496589&#x27;,\n",
+              "       &#x27;2020-08-15T10:02:29.938497781&#x27;, &#x27;2020-08-15T10:07:29.938500881&#x27;,\n",
+              "       &#x27;2020-08-15T10:12:29.938504457&#x27;, &#x27;2020-08-15T10:17:29.938501358&#x27;,\n",
+              "       &#x27;2020-08-15T10:22:29.938507556&#x27;, &#x27;2020-08-15T10:27:29.938496112&#x27;,\n",
+              "       &#x27;2020-08-15T10:32:29.938495635&#x27;, &#x27;2020-08-15T10:37:29.938500165&#x27;,\n",
+              "       &#x27;2020-08-15T10:42:29.938496112&#x27;, &#x27;2020-08-15T10:47:29.938493251&#x27;,\n",
+              "       &#x27;2020-08-15T10:52:29.938493728&#x27;, &#x27;2020-08-15T10:57:29.938492536&#x27;,\n",
+              "       &#x27;2020-08-15T11:02:29.938492774&#x27;, &#x27;2020-08-15T11:07:29.938492774&#x27;,\n",
+              "       &#x27;2020-08-15T11:12:29.938493967&#x27;, &#x27;2020-08-15T11:17:29.938494443&#x27;,\n",
+              "       &#x27;2020-08-15T11:22:29.938496589&#x27;, &#x27;2020-08-15T11:27:29.938496112&#x27;,\n",
+              "       &#x27;2020-08-15T11:32:29.938495397&#x27;, &#x27;2020-08-15T11:37:29.938493967&#x27;,\n",
+              "       &#x27;2020-08-15T11:42:29.938493013&#x27;, &#x27;2020-08-15T11:47:29.938495635&#x27;,\n",
+              "       &#x27;2020-08-15T11:52:29.938493967&#x27;, &#x27;2020-08-15T11:57:29.938498735&#x27;,\n",
+              "       &#x27;2020-08-15T12:02:29.938496589&#x27;, &#x27;2020-08-15T12:07:29.938498020&#x27;,\n",
+              "       &#x27;2020-08-15T12:12:29.938494443&#x27;, &#x27;2020-08-15T12:17:29.938495159&#x27;,\n",
+              "       &#x27;2020-08-15T12:22:29.938495635&#x27;, &#x27;2020-08-15T12:27:29.938497066&#x27;,\n",
+              "       &#x27;2020-08-15T12:32:29.938493967&#x27;, &#x27;2020-08-15T12:37:29.938495635&#x27;,\n",
+              "       &#x27;2020-08-15T12:42:29.938496112&#x27;, &#x27;2020-08-15T12:47:29.938495635&#x27;,\n",
+              "       &#x27;2020-08-15T12:52:29.938494443&#x27;, &#x27;2020-08-15T12:57:29.938496589&#x27;,\n",
+              "       &#x27;2020-08-15T13:02:29.938494205&#x27;, &#x27;2020-08-15T13:07:29.938494205&#x27;,\n",
+              "       &#x27;2020-08-15T13:12:29.938492536&#x27;, &#x27;2020-08-15T13:17:29.938495397&#x27;,\n",
+              "       &#x27;2020-08-15T13:22:29.938493251&#x27;, &#x27;2020-08-15T13:27:29.938495397&#x27;,\n",
+              "       &#x27;2020-08-15T13:32:29.938494920&#x27;, &#x27;2020-08-15T13:37:29.938497066&#x27;,\n",
+              "       &#x27;2020-08-15T13:42:29.938497304&#x27;, &#x27;2020-08-15T13:47:29.938494920&#x27;,\n",
+              "       &#x27;2020-08-15T13:52:29.938493490&#x27;, &#x27;2020-08-15T13:57:29.938492774&#x27;,\n",
+              "       &#x27;2020-08-15T14:02:29.938496112&#x27;, &#x27;2020-08-15T14:07:29.938489675&#x27;,\n",
+              "       &#x27;2020-08-15T14:12:29.938489913&#x27;, &#x27;2020-08-15T14:17:29.938494443&#x27;,\n",
+              "       &#x27;2020-08-15T14:22:29.938495397&#x27;, &#x27;2020-08-15T14:27:29.938492774&#x27;,\n",
+              "       &#x27;2020-08-15T14:32:29.938491582&#x27;, &#x27;2020-08-15T14:37:29.938493251&#x27;,\n",
+              "       &#x27;2020-08-15T14:42:29.938492536&#x27;, &#x27;2020-08-15T14:47:29.938492774&#x27;,\n",
+              "       &#x27;2020-08-15T14:52:29.938491106&#x27;, &#x27;2020-08-15T14:57:29.938495635&#x27;,\n",
+              "       &#x27;2020-08-15T15:02:29.938493013&#x27;, &#x27;2020-08-15T15:07:29.938493967&#x27;,\n",
+              "       &#x27;2020-08-15T15:12:29.938494920&#x27;, &#x27;2020-08-15T15:17:29.938493251&#x27;,\n",
+              "       &#x27;2020-08-15T15:22:29.938486099&#x27;, &#x27;2020-08-15T15:27:29.938484191&#x27;,\n",
+              "       &#x27;2020-08-15T15:32:29.938490390&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range_b5</span></div><div class='xr-var-dims'>(range_b5)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2 1.7 2.2 2.7 ... 13.7 14.2 14.7</div><input id='attrs-124e68c7-9e14-433a-970b-214ec1c81d73' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-124e68c7-9e14-433a-970b-214ec1c81d73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a801f5e0-b92a-4246-8fb7-ff85a6c7216f' class='xr-var-data-in' type='checkbox'><label for='data-a801f5e0-b92a-4246-8fb7-ff85a6c7216f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1.2,  1.7,  2.2,  2.7,  3.2,  3.7,  4.2,  4.7,  5.2,  5.7,  6.2,  6.7,\n",
+              "        7.2,  7.7,  8.2,  8.7,  9.2,  9.7, 10.2, 10.7, 11.2, 11.7, 12.2, 12.7,\n",
+              "       13.2, 13.7, 14.2, 14.7])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a5355f84-2e22-4402-9544-d18d997db428' class='xr-section-summary-in' type='checkbox'  ><label for='section-a5355f84-2e22-4402-9544-d18d997db428' class='xr-section-summary' >Data variables: <span>(38)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>c_sound</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.502e+03 1.502e+03 ... 1.498e+03</div><input id='attrs-7b15658c-9552-4593-a483-d27435d85551' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b15658c-9552-4593-a483-d27435d85551' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8386bd7-0425-4809-ac90-d409300f755c' class='xr-var-data-in' type='checkbox'><label for='data-e8386bd7-0425-4809-ac90-d409300f755c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Speed of Sound</dd><dt><span>standard_name :</span></dt><dd>speed_of_sound_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([1501.6843, 1502.032 , 1501.8505, 1501.5714, 1501.8607, 1502.4133,\n",
+              "       1502.8121, 1502.7344, 1502.8704, 1502.9467, 1502.883 , 1502.7606,\n",
+              "       1502.6915, 1502.8214, 1502.8864, 1502.7937, 1502.6268, 1502.6473,\n",
+              "       1502.4198, 1502.3577, 1501.9543, 1501.729 , 1501.32  , 1500.9684,\n",
+              "       1500.6763, 1500.2716, 1500.1096, 1499.8009, 1499.5637, 1499.3373,\n",
+              "       1499.2163, 1499.0955, 1498.9806, 1498.8579, 1498.7637, 1498.6821,\n",
+              "       1498.6133, 1498.5066, 1498.5637, 1498.7421, 1498.8367, 1498.984 ,\n",
+              "       1498.9717, 1498.9644, 1499.0553, 1499.21  , 1499.2789, 1499.2766,\n",
+              "       1499.265 , 1499.2623, 1499.3181, 1499.2903, 1499.3444, 1499.2922,\n",
+              "       1499.2983, 1499.195 , 1499.2087, 1499.212 , 1499.2494, 1499.2227,\n",
+              "       1499.1742, 1499.1772, 1499.1937, 1499.2306, 1499.2719, 1499.3043,\n",
+              "       1499.4073, 1499.3677, 1499.4554, 1499.5647, 1499.6683, 1499.7489,\n",
+              "       1499.8341, 1499.8446, 1499.8396, 1499.9257, 1499.781 , 1499.8274,\n",
+              "       1499.7506, 1499.8904, 1499.7473, 1499.7411, 1499.7415, 1499.7079,\n",
+              "       1499.508 , 1499.7562, 1499.5327, 1499.4186, 1499.4877, 1499.1946,\n",
+              "       1499.1821, 1499.466 , 1499.5144, 1499.7024, 1499.8877, 1499.8373,\n",
+              "       1499.8597, 1500.1703, 1500.0886, 1500.082 , 1500.0476, 1499.9003,\n",
+              "       1499.8434, 1498.8927, 1497.6433, 1496.299 , 1495.386 , 1495.2273,\n",
+              "       1494.9376, 1494.7117, 1494.9341, 1495.1063, 1495.0103, 1494.7747,\n",
+              "       1494.5977, 1494.4548, 1494.4042, 1494.3356, 1494.229 , 1494.0669,\n",
+              "       1493.7662, 1493.4755, 1493.3303, 1493.1544, 1492.8477, 1492.7877,\n",
+              "       1492.8064, 1493.0189, 1493.5558, 1494.0146, 1494.7506, 1495.2681,\n",
+              "       1496.2244, 1496.8036, 1497.5472, 1498.0507, 1498.3839, 1498.663 ,\n",
+              "       1498.8971, 1499.136 , 1499.3384, 1499.535 , 1499.5739, 1499.5245,\n",
+              "       1499.4437, 1499.4467, 1499.5509, 1499.6014, 1499.5997, 1499.5935,\n",
+              "       1499.525 , 1499.4967, 1499.4364, 1499.4977, 1499.503 , 1499.5526,\n",
+              "       1499.5083, 1499.5023, 1499.474 , 1499.4028, 1499.436 , 1499.4973,\n",
+              "       1499.5286, 1499.5846, 1499.6293, 1499.6262, 1499.6666, 1499.6971,\n",
+              "       1499.6998, 1499.7269, 1499.7843, 1499.6895, 1499.7037, 1499.6376,\n",
+              "       1499.4894, 1499.0636, 1499.0073, 1498.8967, 1498.8627, 1498.961 ,\n",
+              "       1498.8287, 1498.6285, 1498.472 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>14.49 14.59 14.54 ... 13.56 13.5</div><input id='attrs-83dd93a3-3695-4ab1-b721-54f82362d41b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83dd93a3-3695-4ab1-b721-54f82362d41b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ce0ce88-1900-4949-bb45-ce3df3c7c592' class='xr-var-data-in' type='checkbox'><label for='data-9ce0ce88-1900-4949-bb45-ce3df3c7c592' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd></dl></div><div class='xr-var-data'><pre>array([14.4871   , 14.592732 , 14.5369   , 14.450967 , 14.540566 ,\n",
+              "       14.712167 , 14.838034 , 14.812099 , 14.855833 , 14.879432 ,\n",
+              "       14.860366 , 14.821934 , 14.799266 , 14.840433 , 14.8621   ,\n",
+              "       14.833766 , 14.782434 , 14.788966 , 14.716966 , 14.695799 ,\n",
+              "       14.572268 , 14.502767 , 14.376032 , 14.268402 , 14.178566 ,\n",
+              "       14.055    , 14.005532 , 13.911533 , 13.838566 , 13.7688675,\n",
+              "       13.7339325, 13.696598 , 13.661633 , 13.626367 , 13.597433 ,\n",
+              "       13.572568 , 13.552067 , 13.520534 , 13.538133 , 13.592899 ,\n",
+              "       13.620734 , 13.665668 , 13.661699 , 13.658334 , 13.686766 ,\n",
+              "       13.7354   , 13.754033 , 13.754901 , 13.7525   , 13.751934 ,\n",
+              "       13.767399 , 13.760633 , 13.776802 , 13.761433 , 13.7625   ,\n",
+              "       13.731066 , 13.7371   , 13.737367 , 13.748701 , 13.741634 ,\n",
+              "       13.726335 , 13.726666 , 13.7323   , 13.743701 , 13.756766 ,\n",
+              "       13.766968 , 13.797334 , 13.7852   , 13.812601 , 13.847366 ,\n",
+              "       13.878734 , 13.903067 , 13.928333 , 13.931099 , 13.930567 ,\n",
+              "       13.957533 , 13.912533 , 13.9264   , 13.9032   , 13.947433 ,\n",
+              "       13.902601 , 13.900833 , 13.900665 , 13.890833 , 13.830032 ,\n",
+              "       13.9046335, 13.8364   , 13.801933 , 13.8241   , 13.735    ,\n",
+              "       13.732666 , 13.818233 , 13.8298   , 13.888301 , 13.944167 ,\n",
+              "       13.928867 , 13.9361   , 14.0331   , 14.008999 , 14.006901 ,\n",
+              "       13.992832 , 13.946533 , 13.9282   , 13.643267 , 13.266466 ,\n",
+              "       12.865967 , 12.595367 , 12.5469   , 12.462267 , 12.3959   ,\n",
+              "       12.461133 , 12.512366 , 12.482166 , 12.411167 , 12.3605995,\n",
+              "       12.3201   , 12.303568 , 12.284267 , 12.252732 , 12.203699 ,\n",
+              "       12.118533 , 12.031001 , 11.988433 , 11.939434 , 11.8505   ,\n",
+              "       11.8341   , 11.837234 , 11.8984995, 12.0561   , 12.189    ,\n",
+              "       12.403767 , 12.5546   , 12.837867 , 13.010934 , 13.233933 ,\n",
+              "       13.384068 , 13.485199 , 13.565999 , 13.639567 , 13.711732 ,\n",
+              "       13.774034 , 13.829665 , 13.838365 , 13.829668 , 13.8013   ,\n",
+              "       13.805167 , 13.833833 , 13.855499 , 13.857698 , 13.844232 ,\n",
+              "       13.831333 , 13.816167 , 13.802168 , 13.811266 , 13.820599 ,\n",
+              "       13.834399 , 13.828466 , 13.826566 , 13.810034 , 13.792601 ,\n",
+              "       13.800402 , 13.820232 , 13.830032 , 13.8446665, 13.8607   ,\n",
+              "       13.860667 , 13.870465 , 13.876833 , 13.878232 , 13.884268 ,\n",
+              "       13.907367 , 13.875599 , 13.875534 , 13.861733 , 13.8139   ,\n",
+              "       13.689401 , 13.665034 , 13.632333 , 13.6227665, 13.651935 ,\n",
+              "       13.6164665, 13.5551   , 13.503766 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.712 9.699 9.685 ... 9.584 9.591</div><input id='attrs-8d769817-807e-4573-83b5-e886781433ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d769817-807e-4573-83b5-e886781433ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00c9861b-b802-4d19-b78e-2dfec17e0afd' class='xr-var-data-in' type='checkbox'><label for='data-00c9861b-b802-4d19-b78e-2dfec17e0afd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dbar</dd><dt><span>long_name :</span></dt><dd>Pressure</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd></dl></div><div class='xr-var-data'><pre>array([9.712007 , 9.699074 , 9.685317 , 9.670219 , 9.65324  , 9.640334 ,\n",
+              "       9.62429  , 9.608537 , 9.594397 , 9.576526 , 9.56048  , 9.541069 ,\n",
+              "       9.524289 , 9.505187 , 9.486143 , 9.464264 , 9.44223  , 9.416344 ,\n",
+              "       9.393453 , 9.367396 , 9.339387 , 9.305754 , 9.278394 , 9.245257 ,\n",
+              "       9.218047 , 9.186557 , 9.157551 , 9.123754 , 9.09348  , 9.059697 ,\n",
+              "       9.026804 , 8.994499 , 8.95571  , 8.92198  , 8.886473 , 8.853367 ,\n",
+              "       8.813594 , 8.782229 , 8.74448  , 8.708926 , 8.674907 , 8.637604 ,\n",
+              "       8.602573 , 8.560874 , 8.524677 , 8.48187  , 8.4449835, 8.400766 ,\n",
+              "       8.365373 , 8.322662 , 8.28713  , 8.248011 , 8.21333  , 8.178404 ,\n",
+              "       8.14623  , 8.109827 , 8.072543 , 8.039574 , 7.9980125, 7.963136 ,\n",
+              "       7.926347 , 7.8918767, 7.8531103, 7.824253 , 7.7964296, 7.7649107,\n",
+              "       7.7383432, 7.7130632, 7.6841335, 7.65858  , 7.633538 , 7.609003 ,\n",
+              "       7.592057 , 7.573613 , 7.5537395, 7.533187 , 7.5146875, 7.497063 ,\n",
+              "       7.48256  , 7.472039 , 7.454433 , 7.4437304, 7.4306965, 7.422947 ,\n",
+              "       7.4138427, 7.4127507, 7.407543 , 7.4021435, 7.40189  , 7.4006333,\n",
+              "       7.401152 , 7.3961263, 7.4010367, 7.4031525, 7.414211 , 7.4199567,\n",
+              "       7.4243903, 7.4346695, 7.4523306, 7.4677606, 7.47785  , 7.4955306,\n",
+              "       7.507134 , 7.52034  , 7.540297 , 7.5592594, 7.583973 , 7.6029363,\n",
+              "       7.623276 , 7.6508303, 7.67267  , 7.6968994, 7.7202635, 7.7465167,\n",
+              "       7.7706933, 7.795326 , 7.820833 , 7.8509097, 7.8781033, 7.9117236,\n",
+              "       7.9442267, 7.9752865, 8.007596 , 8.042522 , 8.077546 , 8.108029 ,\n",
+              "       8.1417265, 8.17497  , 8.210143 , 8.243827 , 8.281553 , 8.317181 ,\n",
+              "       8.35565  , 8.390187 , 8.42794  , 8.465797 , 8.50642  , 8.54146  ,\n",
+              "       8.581511 , 8.618688 , 8.65223  , 8.69048  , 8.72701  , 8.758973 ,\n",
+              "       8.795943 , 8.832204 , 8.870703 , 8.8993225, 8.936847 , 8.969017 ,\n",
+              "       9.001257 , 9.036253 , 9.063161 , 9.095617 , 9.1287565, 9.157017 ,\n",
+              "       9.187741 , 9.216694 , 9.244237 , 9.274386 , 9.300383 , 9.32181  ,\n",
+              "       9.35049  , 9.37106  , 9.393917 , 9.40948  , 9.428807 , 9.441616 ,\n",
+              "       9.459889 , 9.474596 , 9.488944 , 9.495657 , 9.510249 , 9.520061 ,\n",
+              "       9.530423 , 9.537613 , 9.546494 , 9.554764 , 9.561024 , 9.57158  ,\n",
+              "       9.579874 , 9.583782 , 9.591404 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mag</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.534 3.565 3.547 ... -197.1 -197.1</div><input id='attrs-9cbe0b2b-fbe0-4105-948a-facb1c05e1fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9cbe0b2b-fbe0-4105-948a-facb1c05e1fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b06d265e-c58a-4826-9bcd-ddb013e5e034' class='xr-var-data-in' type='checkbox'><label for='data-b06d265e-c58a-4826-9bcd-ddb013e5e034' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>uT</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Compass</dd></dl></div><div class='xr-var-data'><pre>array([[ 3.53383756e+00,  3.56493616e+00,  3.54652500e+00,\n",
+              "         3.60746217e+00,  3.56795740e+00,  3.58543777e+00,\n",
+              "         3.56357908e+00,  3.57667398e+00,  3.60632110e+00,\n",
+              "         3.56949067e+00,  3.57479167e+00,  3.59876704e+00,\n",
+              "         3.60281253e+00,  3.59981132e+00,  3.59064198e+00,\n",
+              "         3.59985065e+00,  3.58579111e+00,  3.57373047e+00,\n",
+              "         3.56544852e+00,  3.58114982e+00,  3.58714032e+00,\n",
+              "         3.55944085e+00,  3.58880138e+00,  3.53171992e+00,\n",
+              "         3.53358531e+00,  3.49057865e+00,  3.49481201e+00,\n",
+              "         3.49612260e+00,  3.45677161e+00,  3.42318940e+00,\n",
+              "         3.46062589e+00,  3.41326380e+00,  3.41770315e+00,\n",
+              "         3.41921234e+00,  3.43796873e+00,  3.42292237e+00,\n",
+              "         3.41392589e+00,  3.38415337e+00,  3.38218069e+00,\n",
+              "         3.43648434e+00,  3.38592434e+00,  3.34218621e+00,\n",
+              "         3.38532996e+00,  3.37350154e+00,  3.37754154e+00,\n",
+              "         3.35902476e+00,  3.34339881e+00,  3.35676146e+00,\n",
+              "         3.35692763e+00,  3.32560086e+00,  3.27195191e+00,\n",
+              "         3.19083190e+00,  2.95882225e+00,  2.40057945e+00,\n",
+              "         2.16090226e+00,  1.92318320e+00,  1.78795314e+00,\n",
+              "         1.62216699e+00,  1.56376326e+00,  1.46418226e+00,\n",
+              "...\n",
+              "        -1.96982498e+02, -1.97061203e+02, -1.96969849e+02,\n",
+              "        -1.97076538e+02, -1.97007187e+02, -1.97028168e+02,\n",
+              "        -1.97006195e+02, -1.97027512e+02, -1.97029175e+02,\n",
+              "        -1.96980515e+02, -1.97019150e+02, -1.96939850e+02,\n",
+              "        -1.96979843e+02, -1.97032181e+02, -1.97038193e+02,\n",
+              "        -1.96942871e+02, -1.96959534e+02, -1.96986191e+02,\n",
+              "        -1.97056839e+02, -1.97049850e+02, -1.97026855e+02,\n",
+              "        -1.97041199e+02, -1.97016525e+02, -1.97084503e+02,\n",
+              "        -1.97077499e+02, -1.97032166e+02, -1.97061508e+02,\n",
+              "        -1.97079834e+02, -1.97101852e+02, -1.97092865e+02,\n",
+              "        -1.97062164e+02, -1.97118851e+02, -1.97044510e+02,\n",
+              "        -1.97032166e+02, -1.97112183e+02, -1.96995499e+02,\n",
+              "        -1.97103195e+02, -1.97131195e+02, -1.97147202e+02,\n",
+              "        -1.97079849e+02, -1.97053513e+02, -1.97125504e+02,\n",
+              "        -1.97132843e+02, -1.97114838e+02, -1.97074829e+02,\n",
+              "        -1.97085831e+02, -1.97115845e+02, -1.97091156e+02,\n",
+              "        -1.97044174e+02, -1.97063873e+02, -1.97090515e+02,\n",
+              "        -1.97129501e+02, -1.97007523e+02, -1.97017838e+02,\n",
+              "        -1.97019165e+02, -1.97129166e+02, -1.97051849e+02,\n",
+              "        -1.97113190e+02, -1.97104507e+02, -1.97053848e+02]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>accel</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.261 -1.263 -1.26 ... 9.714 9.712</div><input id='attrs-547dee17-0806-4d1d-9e36-3a49d9cff3b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-547dee17-0806-4d1d-9e36-3a49d9cff3b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50f085bb-e921-446a-aa0e-c6381d93d031' class='xr-var-data-in' type='checkbox'><label for='data-50f085bb-e921-446a-aa0e-c6381d93d031' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-2</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acceleration</dd></dl></div><div class='xr-var-data'><pre>array([[-1.2608225 , -1.2632061 , -1.2602278 , -1.2620431 , -1.2610018 ,\n",
+              "        -1.2613868 , -1.2610568 , -1.2621608 , -1.2631991 , -1.2639122 ,\n",
+              "        -1.2618904 , -1.258823  , -1.2596216 , -1.258702  , -1.2583325 ,\n",
+              "        -1.2578007 , -1.2583394 , -1.2576339 , -1.2579147 , -1.2534361 ,\n",
+              "        -1.2568558 , -1.2559422 , -1.2557042 , -1.2571892 , -1.2556211 ,\n",
+              "        -1.2540294 , -1.2548382 , -1.2532483 , -1.2525105 , -1.2511989 ,\n",
+              "        -1.2522614 , -1.2561746 , -1.2530836 , -1.2531874 , -1.2519903 ,\n",
+              "        -1.2518218 , -1.2511966 , -1.2544034 , -1.2561861 , -1.2536184 ,\n",
+              "        -1.2504781 , -1.2535783 , -1.2560768 , -1.2559297 , -1.257113  ,\n",
+              "        -1.2519604 , -1.2501055 , -1.2515699 , -1.2483989 , -1.2508361 ,\n",
+              "        -1.2479837 , -1.2430646 , -1.2314413 , -1.2083213 , -1.1935245 ,\n",
+              "        -1.1852744 , -1.1747023 , -1.1735051 , -1.1686733 , -1.1616861 ,\n",
+              "        -1.1579937 , -1.1570411 , -1.1541711 , -1.1540251 , -1.1536013 ,\n",
+              "        -1.1516274 , -1.147889  , -1.1449583 , -1.1449729 , -1.14322   ,\n",
+              "        -1.1418625 , -1.1392603 , -1.1384715 , -1.136121  , -1.1344364 ,\n",
+              "        -1.132704  , -1.1329331 , -1.1329101 , -1.130972  , -1.1331373 ,\n",
+              "        -1.1304799 , -1.1283726 , -1.1294136 , -1.132449  , -1.1283008 ,\n",
+              "        -1.1297874 , -1.1291262 , -1.1277461 , -1.1284393 , -1.1265595 ,\n",
+              "        -1.1229205 , -1.1222471 , -1.1207403 , -1.1196108 , -1.1196036 ,\n",
+              "        -1.1186633 , -1.1185873 , -1.1168755 , -1.1150851 , -1.1146263 ,\n",
+              "...\n",
+              "         9.716357  ,  9.717475  ,  9.7163725 ,  9.718897  ,  9.715463  ,\n",
+              "         9.711327  ,  9.713148  ,  9.713642  ,  9.712924  ,  9.715384  ,\n",
+              "         9.715974  ,  9.716772  ,  9.718337  ,  9.714473  ,  9.717203  ,\n",
+              "         9.714393  ,  9.71425   ,  9.713914  ,  9.711695  ,  9.708918  ,\n",
+              "         9.711455  ,  9.70863   ,  9.711487  ,  9.71433   ,  9.710337  ,\n",
+              "         9.711295  ,  9.7138815 ,  9.70997   ,  9.713227  ,  9.717092  ,\n",
+              "         9.713419  ,  9.719773  ,  9.71832   ,  9.716453  ,  9.717108  ,\n",
+              "         9.715989  ,  9.7141695 ,  9.711615  ,  9.71741   ,  9.715814  ,\n",
+              "         9.71428   ,  9.717347  ,  9.712972  ,  9.7162285 ,  9.713419  ,\n",
+              "         9.712238  ,  9.714361  ,  9.716245  ,  9.713563  ,  9.718161  ,\n",
+              "         9.713195  ,  9.715207  ,  9.71591   ,  9.713914  ,  9.7165    ,\n",
+              "         9.7136755 ,  9.717347  ,  9.719837  ,  9.718688  ,  9.713898  ,\n",
+              "         9.717618  ,  9.715941  ,  9.710864  ,  9.71433   ,  9.717777  ,\n",
+              "         9.716262  ,  9.716644  ,  9.719199  ,  9.718911  ,  9.715112  ,\n",
+              "         9.714042  ,  9.710752  ,  9.714153  ,  9.716006  ,  9.715191  ,\n",
+              "         9.716421  ,  9.718177  ,  9.717875  ,  9.718033  ,  9.713227  ,\n",
+              "         9.714537  ,  9.714841  ,  9.714376  ,  9.71848   ,  9.7165    ,\n",
+              "         9.715717  ,  9.711741  ,  9.710465  ,  9.712621  ,  9.71337   ,\n",
+              "         9.715622  ,  9.715989  ,  9.711598  ,  9.71219   ,  9.71021   ,\n",
+              "         9.712366  ,  9.7141695 ,  9.711616  ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>batt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>16.48 16.48 16.48 ... 16.26 16.26</div><input id='attrs-da988fe4-acd9-4495-9d8a-59b66fb7154e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da988fe4-acd9-4495-9d8a-59b66fb7154e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-847ccef9-14f0-4904-97f0-2043874dbdcc' class='xr-var-data-in' type='checkbox'><label for='data-847ccef9-14f0-4904-97f0-2043874dbdcc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>V</dd><dt><span>long_name :</span></dt><dd>Battery Voltage</dd><dt><span>standard_name :</span></dt><dd>battery_voltage</dd></dl></div><div class='xr-var-data'><pre>array([16.481167, 16.478   , 16.478   , 16.477167, 16.481   , 16.484167,\n",
+              "       16.477167, 16.479834, 16.479166, 16.482666, 16.478167, 16.481668,\n",
+              "       16.479668, 16.475334, 16.479668, 16.479   , 16.474   , 16.475334,\n",
+              "       16.477667, 16.473167, 16.472168, 16.468334, 16.472334, 16.471169,\n",
+              "       16.466002, 16.476501, 16.464167, 16.464666, 16.462667, 16.460833,\n",
+              "       16.462164, 16.460167, 16.459501, 16.459002, 16.454332, 16.449501,\n",
+              "       16.444332, 16.4325  , 16.422   , 16.412834, 16.400167, 16.397667,\n",
+              "       16.385334, 16.382334, 16.380499, 16.383333, 16.381332, 16.379833,\n",
+              "       16.382   , 16.379168, 16.380499, 16.378834, 16.374832, 16.384499,\n",
+              "       16.374166, 16.373333, 16.377167, 16.376   , 16.38    , 16.370333,\n",
+              "       16.376501, 16.382   , 16.3775  , 16.3815  , 16.378   , 16.3785  ,\n",
+              "       16.378   , 16.383667, 16.374668, 16.3845  , 16.353   , 16.372334,\n",
+              "       16.377668, 16.378168, 16.372334, 16.372665, 16.363167, 16.367167,\n",
+              "       16.372833, 16.363333, 16.355165, 16.367002, 16.368334, 16.372665,\n",
+              "       16.360834, 16.367834, 16.367   , 16.360834, 16.358   , 16.342833,\n",
+              "       16.341167, 16.328001, 16.317   , 16.305332, 16.295   , 16.2915  ,\n",
+              "       16.279333, 16.281166, 16.280834, 16.276167, 16.279333, 16.279333,\n",
+              "       16.275333, 16.279001, 16.279001, 16.275333, 16.279001, 16.279001,\n",
+              "       16.275333, 16.279001, 16.279001, 16.275333, 16.279001, 16.279001,\n",
+              "       16.275333, 16.279001, 16.279001, 16.275333, 16.279001, 16.279001,\n",
+              "       16.275333, 16.279001, 16.279001, 16.275333, 16.279001, 16.279001,\n",
+              "       16.275333, 16.279001, 16.279001, 16.275333, 16.279001, 16.279001,\n",
+              "       16.275333, 16.279001, 16.279001, 16.275333, 16.279001, 16.279001,\n",
+              "       16.275   , 16.278334, 16.276834, 16.271   , 16.2725  , 16.27    ,\n",
+              "       16.265165, 16.268333, 16.268   , 16.264   , 16.268   , 16.268   ,\n",
+              "       16.264   , 16.268   , 16.268   , 16.264   , 16.268   , 16.268   ,\n",
+              "       16.264   , 16.268   , 16.268   , 16.264   , 16.268   , 16.263334,\n",
+              "       16.258333, 16.262335, 16.262169, 16.2575  , 16.261   , 16.260332,\n",
+              "       16.25633 , 16.257998, 16.258333, 16.253334, 16.257998, 16.257332,\n",
+              "       16.253166, 16.256998, 16.256998, 16.252666, 16.256998, 16.256998,\n",
+              "       16.252666, 16.256998, 16.256998], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_clock</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>20.0 20.0 20.0 ... 19.5 19.5 19.5</div><input id='attrs-b683fade-bd5e-41c8-9f67-ecacb1a5b478' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b683fade-bd5e-41c8-9f67-ecacb1a5b478' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d711a60-0cf6-4d1e-b1e8-667195558c35' class='xr-var-data-in' type='checkbox'><label for='data-2d711a60-0cf6-4d1e-b1e8-667195558c35' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Internal Clock Temperature</dd></dl></div><div class='xr-var-data'><pre>array([20.      , 20.      , 20.      , 20.043333, 20.25    , 20.25    ,\n",
+              "       20.25    , 20.25    , 20.263334, 20.446667, 20.5     , 20.5     ,\n",
+              "       20.5     , 20.5     , 20.5     , 20.5     , 20.5     , 20.5     ,\n",
+              "       20.5     , 20.5     , 20.5     , 20.5     , 20.5     , 20.31    ,\n",
+              "       20.25    , 20.25    , 20.163334, 20.      , 20.      , 20.      ,\n",
+              "       19.766666, 19.75    , 19.75    , 19.726667, 19.553333, 19.5     ,\n",
+              "       19.5     , 19.5     , 19.5     , 19.5     , 19.5     , 19.5     ,\n",
+              "       19.5     , 19.5     , 19.5     , 19.5     , 19.5     , 19.5     ,\n",
+              "       19.5     , 19.5     , 19.5     , 19.5     , 19.5     , 19.5     ,\n",
+              "       19.5     , 19.5     , 19.5     , 19.5     , 19.5     , 19.5     ,\n",
+              "       19.5     , 19.5     , 19.5     , 19.5     , 19.5     , 19.5     ,\n",
+              "       19.5     , 19.5     , 19.5     , 19.5     , 19.5     , 19.5     ,\n",
+              "       19.5     , 19.606667, 19.746666, 19.75    , 19.75    , 19.75    ,\n",
+              "       19.75    , 19.75    , 19.75    , 19.75    , 19.75    , 19.75    ,\n",
+              "       19.75    , 19.75    , 19.75    , 19.75    , 19.75    , 19.75    ,\n",
+              "       19.556667, 19.5     , 19.5     , 19.5     , 19.626667, 19.75    ,\n",
+              "       19.75    , 19.75    , 19.75    , 19.75    , 19.75    , 19.75    ,\n",
+              "       19.75    , 19.75    , 19.75    , 19.54    , 19.413334, 19.233334,\n",
+              "       19.      , 18.91    , 18.75    , 18.746666, 18.5     , 18.5     ,\n",
+              "       18.5     , 18.5     , 18.366667, 18.25    , 18.25    , 18.25    ,\n",
+              "       18.25    , 18.2     , 18.      , 18.      , 18.      , 18.      ,\n",
+              "       17.873333, 17.75    , 17.75    , 17.75    , 17.863333, 18.      ,\n",
+              "       18.      , 18.17    , 18.25    , 18.44    , 18.513334, 18.75    ,\n",
+              "       18.783333, 19.      , 19.      , 19.196667, 19.25    , 19.25    ,\n",
+              "       19.25    , 19.433332, 19.5     , 19.5     , 19.5     , 19.5     ,\n",
+              "       19.5     , 19.5     , 19.5     , 19.5     , 19.5     , 19.5     ,\n",
+              "       19.5     , 19.5     , 19.5     , 19.5     , 19.5     , 19.5     ,\n",
+              "       19.5     , 19.5     , 19.5     , 19.5     , 19.5     , 19.53    ,\n",
+              "       19.696667, 19.75    , 19.75    , 19.75    , 19.75    , 19.75    ,\n",
+              "       19.75    , 19.75    , 19.71    , 19.5     , 19.5     , 19.5     ,\n",
+              "       19.5     , 19.5     , 19.5     ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>error</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-508d37e9-1081-44d6-a86c-6b5aeced1a6f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-508d37e9-1081-44d6-a86c-6b5aeced1a6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bce5dde-d8b5-40cf-bb61-c5a30e0daa0c' class='xr-var-data-in' type='checkbox'><label for='data-2bce5dde-d8b5-40cf-bb61-c5a30e0daa0c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Error Code</dd></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.054e+09 1.054e+09 ... 1.054e+09</div><input id='attrs-bf922854-672f-49b1-8ee9-f232d24c35a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf922854-672f-49b1-8ee9-f232d24c35a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f495638f-30d9-4cff-b90e-59496e0ae46a' class='xr-var-data-in' type='checkbox'><label for='data-f495638f-30d9-4cff-b90e-59496e0ae46a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Status Code</dd></dl></div><div class='xr-var-data'><pre>array([1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355693e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "...\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355693e+09, 1.05355699e+09, 1.05355699e+09,\n",
+              "       1.05355699e+09, 1.05355699e+09, 1.05355699e+09, 1.05355699e+09,\n",
+              "       1.05355699e+09, 1.05355699e+09, 1.05355699e+09, 1.05355699e+09,\n",
+              "       1.05355699e+09, 1.05355699e+09, 1.05355699e+09, 1.05355699e+09,\n",
+              "       1.05355699e+09, 1.05355699e+09, 1.05355699e+09, 1.05355699e+09,\n",
+              "       1.05355699e+09, 1.05355699e+09, 1.05355699e+09], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vel</span></div><div class='xr-var-dims'>(dir, range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.2358 0.266 0.3007 ... nan nan nan</div><input id='attrs-ebf56e38-28ef-4e12-b40e-0e4ea0be98d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ebf56e38-28ef-4e12-b40e-0e4ea0be98d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e989d3d2-f2a9-4473-b931-b9b1ad317246' class='xr-var-data-in' type='checkbox'><label for='data-e989d3d2-f2a9-4473-b931-b9b1ad317246' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Water Velocity</dd><dt><span>Comments :</span></dt><dd>Filtered of data with a correlation value below 50%</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.23582192,  0.2660148 ,  0.30069652, ..., -0.179669  ,\n",
+              "         -0.18383324, -0.17606331],\n",
+              "        [ 0.25633767,  0.28601688,  0.3117814 , ..., -0.19580415,\n",
+              "         -0.19696543, -0.20011853],\n",
+              "        [ 0.26504937,  0.28428233,  0.31169885, ..., -0.2103943 ,\n",
+              "         -0.21627884, -0.21236075],\n",
+              "        ...,\n",
+              "        [        nan,         nan,         nan, ...,         nan,\n",
+              "                 nan,         nan],\n",
+              "        [        nan,         nan,         nan, ...,         nan,\n",
+              "                 nan,         nan],\n",
+              "        [        nan,         nan,         nan, ...,         nan,\n",
+              "                 nan,         nan]],\n",
+              "\n",
+              "       [[ 0.02619691,  0.04430203,  0.04002393, ...,  0.05932099,\n",
+              "          0.06400961,  0.07232199],\n",
+              "        [ 0.06181316,  0.07802678,  0.06236525, ...,  0.0768801 ,\n",
+              "          0.08184617,  0.0892335 ],\n",
+              "        [ 0.08793733,  0.10133781,  0.08016948, ...,  0.08136398,\n",
+              "          0.08639657,  0.10118616],\n",
+              "...\n",
+              "        [        nan,         nan,         nan, ...,         nan,\n",
+              "                 nan,         nan],\n",
+              "        [        nan,         nan,         nan, ...,         nan,\n",
+              "                 nan,         nan],\n",
+              "        [        nan,         nan,         nan, ...,         nan,\n",
+              "                 nan,         nan]],\n",
+              "\n",
+              "       [[-0.00417333, -0.01056667, -0.01045333, ..., -0.02584564,\n",
+              "         -0.02752333, -0.02575667],\n",
+              "        [ 0.01358667,  0.00760333,  0.00634667, ..., -0.01625333,\n",
+              "         -0.01776333, -0.01595   ],\n",
+              "        [ 0.01556187,  0.00811371,  0.00740333, ..., -0.00842   ,\n",
+              "         -0.01147667, -0.01189667],\n",
+              "        ...,\n",
+              "        [        nan,         nan,         nan, ...,         nan,\n",
+              "                 nan,         nan],\n",
+              "        [        nan,         nan,         nan, ...,         nan,\n",
+              "                 nan,         nan],\n",
+              "        [        nan,         nan,         nan, ...,         nan,\n",
+              "                 nan,         nan]]], shape=(4, 28, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>amp</span></div><div class='xr-var-dims'>(beam, range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>79.95 80.28 80.69 ... nan nan nan</div><input id='attrs-eb58591d-0974-4d2a-b938-7792383cfa02' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb58591d-0974-4d2a-b938-7792383cfa02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc8f996a-8297-4f04-b2bd-bc0c732d7f59' class='xr-var-data-in' type='checkbox'><label for='data-bc8f996a-8297-4f04-b2bd-bc0c732d7f59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Amplitude</dd><dt><span>standard_name :</span></dt><dd>signal_intensity_from_multibeam_acoustic_doppler_velocity_sensor_in_sea_water</dd><dt><span>Comments :</span></dt><dd>Filtered of data with a correlation value below 50%</dd></dl></div><div class='xr-var-data'><pre>array([[[79.94666 , 80.28167 , 80.68667 , ..., 81.721664, 81.80334 ,\n",
+              "         81.68667 ],\n",
+              "        [75.535   , 76.043335, 76.66167 , ..., 77.62666 , 77.73    ,\n",
+              "         77.528336],\n",
+              "        [72.81167 , 73.391304, 74.26833 , ..., 74.525   , 74.39667 ,\n",
+              "         74.253334],\n",
+              "        ...,\n",
+              "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
+              "               nan],\n",
+              "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
+              "               nan],\n",
+              "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
+              "               nan]],\n",
+              "\n",
+              "       [[80.706665, 80.93833 , 81.255   , ..., 82.19833 , 82.225   ,\n",
+              "         82.17    ],\n",
+              "        [76.80666 , 76.996666, 77.44833 , ..., 78.38333 , 78.41167 ,\n",
+              "         78.06    ],\n",
+              "        [74.31834 , 74.64667 , 75.903336, ..., 75.16333 , 75.26833 ,\n",
+              "         74.875   ],\n",
+              "...\n",
+              "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
+              "               nan],\n",
+              "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
+              "               nan],\n",
+              "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
+              "               nan]],\n",
+              "\n",
+              "       [[80.185   , 80.55    , 80.885   , ..., 81.888336, 81.945   ,\n",
+              "         81.85833 ],\n",
+              "        [75.78    , 76.291664, 76.76833 , ..., 77.97667 , 78.03833 ,\n",
+              "         77.87666 ],\n",
+              "        [72.67725 , 73.55666 , 74.44334 , ..., 74.75833 , 74.665   ,\n",
+              "         74.47    ],\n",
+              "        ...,\n",
+              "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
+              "               nan],\n",
+              "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
+              "               nan],\n",
+              "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
+              "               nan]]], shape=(4, 28, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>corr</span></div><div class='xr-var-dims'>(beam, range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>92.59 92.61 92.47 ... 0.0 0.0 0.0</div><input id='attrs-9b7da4e9-e561-43fe-b0e4-4cf59df5d9c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b7da4e9-e561-43fe-b0e4-4cf59df5d9c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f3a6394-ea11-484f-b854-9429527a22d8' class='xr-var-data-in' type='checkbox'><label for='data-8f3a6394-ea11-484f-b854-9429527a22d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>%</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Correlation</dd><dt><span>standard_name :</span></dt><dd>beam_consistency_indicator_from_multibeam_acoustic_doppler_velocity_profiler_in_sea_water</dd><dt><span>Comments :</span></dt><dd>Filtered of data with a correlation value below 50%</dd></dl></div><div class='xr-var-data'><pre>array([[[92.58667 , 92.613335, 92.47    , ..., 91.933334, 91.96667 ,\n",
+              "         92.06333 ],\n",
+              "        [96.236664, 96.526665, 96.206665, ..., 96.00667 , 96.3     ,\n",
+              "         96.03333 ],\n",
+              "        [97.166664, 96.246666, 95.94    , ..., 96.45333 , 97.206665,\n",
+              "         97.263336],\n",
+              "        ...,\n",
+              "        [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
+              "          0.      ],\n",
+              "        [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
+              "          0.      ],\n",
+              "        [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
+              "          0.      ]],\n",
+              "\n",
+              "       [[93.333336, 93.61    , 93.31333 , ..., 91.6     , 91.49    ,\n",
+              "         91.14667 ],\n",
+              "        [96.57    , 96.39    , 96.12666 , ..., 96.27    , 96.56333 ,\n",
+              "         96.44334 ],\n",
+              "        [97.37666 , 97.09333 , 96.87666 , ..., 96.17333 , 97.30334 ,\n",
+              "         97.32667 ],\n",
+              "...\n",
+              "        [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
+              "          0.      ],\n",
+              "        [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
+              "          0.      ],\n",
+              "        [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
+              "          0.      ]],\n",
+              "\n",
+              "       [[92.78333 , 93.223335, 92.63    , ..., 92.22    , 92.34    ,\n",
+              "         92.61    ],\n",
+              "        [96.75    , 96.34333 , 96.34    , ..., 96.53    , 96.69    ,\n",
+              "         96.27333 ],\n",
+              "        [96.346664, 97.05    , 97.24    , ..., 96.66333 , 96.89333 ,\n",
+              "         97.41    ],\n",
+              "        ...,\n",
+              "        [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
+              "          0.      ],\n",
+              "        [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
+              "          0.      ],\n",
+              "        [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
+              "          0.      ]]], shape=(4, 28, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientmat</span></div><div class='xr-var-dims'>(earth, inst, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.05743 0.05697 ... 0.9937 0.9937</div><input id='attrs-4e7b833e-436d-41e2-a85b-1b23566968fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e7b833e-436d-41e2-a85b-1b23566968fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1659316e-b84b-415d-9c8a-d7ae49cd3a37' class='xr-var-data-in' type='checkbox'><label for='data-1659316e-b84b-415d-9c8a-d7ae49cd3a37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Orientation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[[ 5.74317947e-02,  5.69723397e-02,  5.82992062e-02, ...,\n",
+              "          5.81927113e-02,  5.85613623e-02,  5.85512854e-02],\n",
+              "        [ 9.98300374e-01,  9.98323679e-01,  9.98248577e-01, ...,\n",
+              "          9.98254061e-01,  9.98234987e-01,  9.98234689e-01],\n",
+              "        [-1.05408905e-03, -1.34927384e-03, -1.13080605e-03, ...,\n",
+              "         -8.26976204e-04, -8.38353124e-04, -8.28948745e-04]],\n",
+              "\n",
+              "       [[-9.89950538e-01, -9.89953220e-01, -9.89922285e-01, ...,\n",
+              "         -9.91938353e-01, -9.91944909e-01, -9.91939366e-01],\n",
+              "        [ 5.68153895e-02,  5.63202463e-02,  5.76671995e-02, ...,\n",
+              "          5.77317439e-02,  5.80984168e-02,  5.80891557e-02],\n",
+              "        [-1.29125342e-01, -1.29299909e-01, -1.28952131e-01, ...,\n",
+              "         -1.12354711e-01, -1.12130061e-01, -1.12175331e-01]],\n",
+              "\n",
+              "       [[-1.28852651e-01, -1.29014045e-01, -1.28667876e-01, ...,\n",
+              "         -1.12116747e-01, -1.11889169e-01, -1.11934915e-01],\n",
+              "        [ 8.45469162e-03,  8.69723968e-03,  8.63243733e-03, ...,\n",
+              "          7.35414820e-03,  7.39390310e-03,  7.38611678e-03],\n",
+              "        [ 9.91627276e-01,  9.91604209e-01,  9.91649806e-01, ...,\n",
+              "          9.93667483e-01,  9.93692815e-01,  9.93687749e-01]]],\n",
+              "      shape=(3, 3, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angrt</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.000807 0.0008203 ... -0.002598</div><input id='attrs-d2b61070-dec7-49c0-86b1-b2659f42f5ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2b61070-dec7-49c0-86b1-b2659f42f5ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5106cc26-0e44-48d6-95d4-09032b3ba348' class='xr-var-data-in' type='checkbox'><label for='data-5106cc26-0e44-48d6-95d4-09032b3ba348' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>rad s-1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Angular Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.00080699,  0.00082028,  0.00085015,  0.0008093 ,  0.00077764,\n",
+              "         0.00076247,  0.00084005,  0.00080013,  0.00073725,  0.00069978,\n",
+              "         0.00068869,  0.000708  ,  0.00070397,  0.00064101,  0.0007507 ,\n",
+              "         0.00071757,  0.00060209,  0.00062077,  0.00062501,  0.0005675 ,\n",
+              "         0.00054653,  0.00055442,  0.00072552,  0.00056834,  0.00065792,\n",
+              "         0.00086152,  0.00080709,  0.00096736,  0.00085591,  0.00094166,\n",
+              "         0.00090368,  0.00095632,  0.00094047,  0.00091472,  0.00092718,\n",
+              "         0.00097144,  0.00090388,  0.00098592,  0.00099217,  0.00104627,\n",
+              "         0.00101094,  0.00108953,  0.00094413,  0.0010326 ,  0.00105636,\n",
+              "         0.00098609,  0.00101084,  0.00101927,  0.00101796,  0.00096841,\n",
+              "         0.00102785,  0.00113951,  0.00098156,  0.00111134,  0.00100472,\n",
+              "         0.00104199,  0.00104198,  0.00100612,  0.00103637,  0.00099132,\n",
+              "         0.00102272,  0.00102712,  0.00100425,  0.0010416 ,  0.00097589,\n",
+              "         0.00090605,  0.00108258,  0.00090169,  0.00096689,  0.00081777,\n",
+              "         0.0009423 ,  0.00087804,  0.00102183,  0.00083111,  0.0009242 ,\n",
+              "         0.00094747,  0.00110261,  0.00097415,  0.00097692,  0.00113317,\n",
+              "         0.00105406,  0.00104935,  0.00102722,  0.00093711,  0.00103575,\n",
+              "         0.00095867,  0.0009583 ,  0.00104538,  0.00100466,  0.00095809,\n",
+              "         0.00101549,  0.00097118,  0.00090704,  0.00094464,  0.00096578,\n",
+              "         0.00105039,  0.00093799,  0.00100518,  0.00088882,  0.00095506,\n",
+              "...\n",
+              "        -0.00263344, -0.00258787, -0.00256183, -0.00256183, -0.00250324,\n",
+              "        -0.00268227, -0.00268227, -0.00259113, -0.00262693, -0.00257485,\n",
+              "        -0.00259113, -0.00252602, -0.00267576, -0.00253904, -0.00256509,\n",
+              "        -0.00242511, -0.00249998, -0.00250975, -0.00252277, -0.00261066,\n",
+              "        -0.00257485, -0.00265298, -0.00264647, -0.00261391, -0.00260089,\n",
+              "        -0.00270181, -0.0027604 , -0.00278318, -0.00288084, -0.00274412,\n",
+              "        -0.00280272, -0.00289386, -0.0030729 , -0.0029492 , -0.0029199 ,\n",
+              "        -0.00302407, -0.00299803, -0.00296222, -0.00288084, -0.00299477,\n",
+              "        -0.00304034, -0.00298175, -0.00296222, -0.00296873, -0.00305337,\n",
+              "        -0.00302081, -0.00299803, -0.00304034, -0.0030729 , -0.0029199 ,\n",
+              "        -0.00295571, -0.00287433, -0.00287433, -0.0028548 , -0.00275714,\n",
+              "        -0.00271157, -0.0027018 , -0.00278644, -0.0026074 , -0.00264972,\n",
+              "        -0.00273761, -0.00259764, -0.00258787, -0.00256834, -0.00263344,\n",
+              "        -0.00255207, -0.00265623, -0.00261391, -0.00255207, -0.00249673,\n",
+              "        -0.00258787, -0.00256183, -0.00253579, -0.00264321, -0.00268553,\n",
+              "        -0.00255858, -0.00264321, -0.00262693, -0.0025423 , -0.00256834,\n",
+              "        -0.00263345, -0.00258136, -0.00250975, -0.00261717, -0.00264321,\n",
+              "        -0.00260741, -0.00261066, -0.00250649, -0.00248371, -0.0026074 ,\n",
+              "        -0.00260415, -0.00260415, -0.00250324, -0.00259764, -0.002513  ,\n",
+              "        -0.00256509, -0.00253904, -0.00259764]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quaternions</span></div><div class='xr-var-dims'>(q, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.6245 0.6243 ... 0.7784 0.7784</div><input id='attrs-4efa1abc-ed50-4212-8bd9-2b5b594aa043' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4efa1abc-ed50-4212-8bd9-2b5b594aa043' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfc40073-a2d0-4354-a110-c18404a46756' class='xr-var-data-in' type='checkbox'><label for='data-cfc40073-a2d0-4354-a110-c18404a46756' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Quaternions</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.6245074 ,  0.624316  ,  0.6248463 ,  0.6245108 ,  0.6247046 ,\n",
+              "         0.62467265,  0.62460417,  0.62476116,  0.6245991 ,  0.6246464 ,\n",
+              "         0.624686  ,  0.6249721 ,  0.6249648 ,  0.6250649 ,  0.62494904,\n",
+              "         0.62500936,  0.6250884 ,  0.6250855 ,  0.6253171 ,  0.6254035 ,\n",
+              "         0.6253574 ,  0.6254711 ,  0.6251542 ,  0.6249595 ,  0.62512624,\n",
+              "         0.62510735,  0.62479544,  0.6250753 ,  0.624999  ,  0.6248949 ,\n",
+              "         0.6248343 ,  0.6245227 ,  0.6248399 ,  0.624795  ,  0.6250311 ,\n",
+              "         0.62494355,  0.6249766 ,  0.6244582 ,  0.62417775,  0.6244494 ,\n",
+              "         0.6248647 ,  0.6245337 ,  0.62416995,  0.6242157 ,  0.62425923,\n",
+              "         0.6247039 ,  0.6248129 ,  0.6246122 ,  0.6248121 ,  0.6246928 ,\n",
+              "         0.6245991 ,  0.6248212 ,  0.6247573 ,  0.6243741 ,  0.6243043 ,\n",
+              "         0.6244282 ,  0.6243682 ,  0.6240724 ,  0.62418926,  0.6241515 ,\n",
+              "         0.6239765 ,  0.62391806,  0.62415963,  0.62387216,  0.6239287 ,\n",
+              "         0.62390673,  0.6236841 ,  0.62378633,  0.6236643 ,  0.6235926 ,\n",
+              "         0.62364197,  0.6237233 ,  0.62374234,  0.62387735,  0.62402254,\n",
+              "         0.62393117,  0.62393445,  0.62373453,  0.62396324,  0.62340415,\n",
+              "         0.62373024,  0.62379295,  0.62355286,  0.6231889 ,  0.62350035,\n",
+              "         0.6232749 ,  0.6232579 ,  0.6233172 ,  0.6232117 ,  0.62328154,\n",
+              "         0.6234021 ,  0.62359464,  0.6235321 ,  0.62355274,  0.62340564,\n",
+              "         0.6233349 ,  0.6232732 ,  0.62326413,  0.62335676,  0.6233057 ,\n",
+              "...\n",
+              "         0.77982664,  0.7798403 ,  0.77980125,  0.7798833 ,  0.7798343 ,\n",
+              "         0.77974474,  0.7795985 ,  0.77965385,  0.77964175,  0.7797572 ,\n",
+              "         0.7798193 ,  0.77987343,  0.77987754,  0.7798154 ,  0.7798561 ,\n",
+              "         0.77976704,  0.77973217,  0.77971977,  0.77958   ,  0.7794924 ,\n",
+              "         0.77951276,  0.77934176,  0.77977145,  0.77983665,  0.7796758 ,\n",
+              "         0.77951133,  0.77975136,  0.7796223 ,  0.7795445 ,  0.7798783 ,\n",
+              "         0.7796854 ,  0.78009176,  0.77983886,  0.77976817,  0.7798124 ,\n",
+              "         0.77966744,  0.77980477,  0.77957195,  0.7797228 ,  0.7795519 ,\n",
+              "         0.77965647,  0.7795511 ,  0.7795689 ,  0.77951413,  0.77942085,\n",
+              "         0.7791843 ,  0.7793043 ,  0.7793574 ,  0.7790914 ,  0.77922   ,\n",
+              "         0.7788722 ,  0.77907705,  0.7790985 ,  0.778842  ,  0.7789314 ,\n",
+              "         0.77889466,  0.7789852 ,  0.7792381 ,  0.77916646,  0.7788889 ,\n",
+              "         0.77894676,  0.7789039 ,  0.7785506 ,  0.7786492 ,  0.7788344 ,\n",
+              "         0.7786969 ,  0.77884805,  0.7789083 ,  0.77894056,  0.7786727 ,\n",
+              "         0.77858806,  0.7783844 ,  0.7785528 ,  0.7787677 ,  0.77864134,\n",
+              "         0.77870125,  0.7787834 ,  0.7788154 ,  0.7788442 ,  0.7785659 ,\n",
+              "         0.7785521 ,  0.77869254,  0.77849793,  0.7787016 ,  0.77872854,\n",
+              "         0.77860415,  0.7784391 ,  0.7783881 ,  0.7785563 ,  0.77852774,\n",
+              "         0.77856874,  0.77847373,  0.7784385 ,  0.7782882 ,  0.778279  ,\n",
+              "         0.778462  ,  0.77835196,  0.77835387]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_press</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>12.8 12.8 12.8 ... 12.0 12.0 12.0</div><input id='attrs-989abd66-5dfb-416f-b419-451fb8212e79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-989abd66-5dfb-416f-b419-451fb8212e79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37c06dec-017f-49cb-ab56-a02e63104a9a' class='xr-var-data-in' type='checkbox'><label for='data-37c06dec-017f-49cb-ab56-a02e63104a9a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Pressure Sensor Temperature</dd></dl></div><div class='xr-var-data'><pre>array([12.800002 , 12.800002 , 12.800002 , 12.800002 , 12.800002 ,\n",
+              "       12.966666 , 13.       , 13.050666 , 13.199998 , 13.199998 ,\n",
+              "       13.199998 , 13.199998 , 13.199998 , 13.199998 , 13.199998 ,\n",
+              "       13.199998 , 13.199998 , 13.199998 , 13.176665 , 13.       ,\n",
+              "       13.       , 12.941335 , 12.800002 , 12.631333 , 12.598    ,\n",
+              "       12.411335 , 12.400001 , 12.230666 , 12.199998 , 12.119332 ,\n",
+              "       12.       , 12.       , 12.       , 11.957999 , 11.800002 ,\n",
+              "       11.800002 , 11.800002 , 11.800002 , 11.800002 , 11.800002 ,\n",
+              "       11.800002 , 11.800002 , 11.800002 , 11.800002 , 11.834001 ,\n",
+              "       11.999333 , 12.       , 12.       , 12.       , 12.       ,\n",
+              "       12.       , 12.       , 12.       , 12.       , 12.       ,\n",
+              "       12.       , 12.       , 12.       , 12.       , 12.       ,\n",
+              "       12.       , 12.       , 12.       , 12.       , 12.       ,\n",
+              "       12.       , 12.       , 12.       , 12.       , 12.       ,\n",
+              "       12.       , 12.104667 , 12.193999 , 12.199998 , 12.199998 ,\n",
+              "       12.199998 , 12.199998 , 12.199998 , 12.199998 , 12.199998 ,\n",
+              "       12.199998 , 12.199998 , 12.199998 , 12.199998 , 12.086667 ,\n",
+              "       12.113999 , 12.192665 , 12.032667 , 12.078666 , 12.03     ,\n",
+              "       12.       , 12.111999 , 12.199998 , 12.199998 , 12.199998 ,\n",
+              "       12.202665 , 12.219333 , 12.274    , 12.367333 , 12.203999 ,\n",
+              "       12.217332 , 12.199998 , 12.199998 , 12.119332 , 11.845334 ,\n",
+              "       11.496667 , 11.219998 , 11.       , 10.952001 , 10.800002 ,\n",
+              "       10.800002 , 10.800002 , 10.800002 , 10.751334 , 10.599999 ,\n",
+              "       10.599999 , 10.599999 , 10.599999 , 10.5546665, 10.400001 ,\n",
+              "       10.400001 , 10.334666 , 10.2      , 10.2      , 10.191999 ,\n",
+              "       10.029333 , 10.       , 10.009334 , 10.198667 , 10.243333 ,\n",
+              "       10.415334 , 10.599999 , 10.772668 , 11.       , 11.186666 ,\n",
+              "       11.398002 , 11.528    , 11.599999 , 11.746667 , 11.800002 ,\n",
+              "       11.876667 , 12.       , 12.       , 12.       , 12.       ,\n",
+              "       12.       , 12.       , 12.       , 12.000667 , 12.006    ,\n",
+              "       12.       , 12.       , 12.       , 12.       , 12.       ,\n",
+              "       12.       , 12.001333 , 12.       , 12.       , 12.       ,\n",
+              "       12.       , 12.       , 12.024667 , 12.173999 , 12.199998 ,\n",
+              "       12.199998 , 12.199998 , 12.199998 , 12.199998 , 12.199998 ,\n",
+              "       12.199998 , 12.199998 , 12.199998 , 12.199998 , 12.199998 ,\n",
+              "       12.1119995, 12.       , 12.       , 12.       , 12.       ,\n",
+              "       12.       , 12.       , 12.       ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xmit_energy</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>244.0 244.0 244.0 ... 246.0 246.0</div><input id='attrs-a030aa68-c7eb-4884-9c2f-64538120fa21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a030aa68-c7eb-4884-9c2f-64538120fa21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65e6ccde-3a11-4023-bb55-dbdab5cccd39' class='xr-var-data-in' type='checkbox'><label for='data-65e6ccde-3a11-4023-bb55-dbdab5cccd39' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Sound Pressure Level of Acoustic Signal</dd></dl></div><div class='xr-var-data'><pre>array([244.04333, 243.96   , 244.04666, 244.12334, 244.30667, 244.32   ,\n",
+              "       244.04   , 243.95667, 243.72   , 243.45334, 243.46   , 243.49333,\n",
+              "       243.49667, 243.69667, 243.80333, 243.78334, 243.81667, 244.     ,\n",
+              "       244.27333, 244.39667, 244.58333, 244.73334, 244.95334, 245.     ,\n",
+              "       244.98334, 244.94   , 244.86333, 244.82666, 244.79333, 244.84666,\n",
+              "       244.76666, 244.73334, 244.82666, 244.75   , 244.86333, 244.83   ,\n",
+              "       244.84334, 244.91333, 244.96666, 245.08   , 245.25333, 245.30667,\n",
+              "       245.4    , 245.51   , 245.61333, 245.61   , 245.65666, 245.76666,\n",
+              "       245.73   , 245.79666, 245.83333, 245.85333, 245.81   , 245.85667,\n",
+              "       245.90334, 245.89333, 245.90666, 245.90334, 245.89333, 245.90666,\n",
+              "       245.93   , 245.91333, 245.91667, 245.92334, 245.92334, 245.92   ,\n",
+              "       245.96   , 245.95   , 245.94333, 245.96   , 245.94667, 245.97   ,\n",
+              "       245.95   , 245.93666, 245.93   , 245.95667, 245.94   , 245.95667,\n",
+              "       245.95   , 245.95334, 245.96666, 245.98   , 245.96666, 245.97   ,\n",
+              "       245.97   , 245.98   , 245.97333, 245.97   , 245.98666, 245.97667,\n",
+              "       245.97667, 245.98334, 245.97667, 245.99333, 245.97667, 245.98334,\n",
+              "       245.99667, 245.99667, 245.99   , 245.97333, 245.98334, 245.98666,\n",
+              "       245.97   , 245.99667, 245.98666, 245.98   , 245.85667, 245.44667,\n",
+              "       244.92334, 244.41667, 244.16333, 244.00667, 244.06   , 244.07333,\n",
+              "       243.87334, 243.77333, 243.75   , 243.69   , 243.76334, 243.79666,\n",
+              "       243.55   , 243.5    , 243.37666, 243.20334, 242.92334, 242.87666,\n",
+              "       242.83   , 242.83333, 243.07666, 243.41   , 243.88333, 244.20334,\n",
+              "       244.40334, 244.45334, 244.48666, 244.41   , 244.38   , 244.43333,\n",
+              "       244.6    , 244.72333, 244.90666, 244.9    , 244.97667, 245.03667,\n",
+              "       245.22667, 245.36   , 245.4    , 245.42   , 245.48334, 245.62666,\n",
+              "       245.67   , 245.71333, 245.75667, 245.77   , 245.84   , 245.87   ,\n",
+              "       245.87666, 245.89   , 245.87666, 245.94333, 245.93   , 245.91333,\n",
+              "       245.95667, 245.94   , 245.93   , 245.95667, 245.95   , 245.95334,\n",
+              "       245.94667, 245.96   , 245.96333, 245.97333, 245.96666, 245.96   ,\n",
+              "       245.97667, 245.99   , 245.98   , 245.98666, 245.98666, 245.98334,\n",
+              "       245.99   , 245.98334, 245.99   ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mag_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.589 3.576 3.611 ... -197.1 -197.1</div><input id='attrs-fdd68d68-b2aa-4ae0-8275-40b3640d73ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fdd68d68-b2aa-4ae0-8275-40b3640d73ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1d170b5-2947-40bf-a00f-0fcd44c3d88e' class='xr-var-data-in' type='checkbox'><label for='data-e1d170b5-2947-40bf-a00f-0fcd44c3d88e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>uT</dd><dt><span>long_name :</span></dt><dd>Compass</dd></dl></div><div class='xr-var-data'><pre>array([[ 3.5890043e+00,  3.5764265e+00,  3.6108000e+00,  3.5779481e+00,\n",
+              "         3.6116719e+00,  3.5757926e+00,  3.5947008e+00,  3.6243417e+00,\n",
+              "         3.6057498e+00,  3.5963907e+00,  3.5682683e+00,  3.5830538e+00,\n",
+              "         3.6165168e+00,  3.5789921e+00,  3.5747981e+00,  3.5690453e+00,\n",
+              "         3.5796013e+00,  3.6261466e+00,  3.6063533e+00,  3.6014795e+00,\n",
+              "         3.6353865e+00,  3.6033041e+00,  3.6023455e+00,  3.5552027e+00,\n",
+              "         3.5689840e+00,  3.5028169e+00,  3.5047083e+00,  3.5002160e+00,\n",
+              "         3.4591196e+00,  3.4518204e+00,  3.4781299e+00,  3.4272485e+00,\n",
+              "         3.4080899e+00,  3.4372404e+00,  3.4341383e+00,  3.3986638e+00,\n",
+              "         3.4168522e+00,  3.4093900e+00,  3.3794670e+00,  3.3934760e+00,\n",
+              "         3.4050257e+00,  3.4207287e+00,  3.3710022e+00,  3.3771679e+00,\n",
+              "         3.3508575e+00,  3.3733418e+00,  3.3524203e+00,  3.3316767e+00,\n",
+              "         3.3258898e+00,  3.3680136e+00,  3.2842207e+00,  3.1945534e+00,\n",
+              "         3.0031645e+00,  2.4369471e+00,  2.1365104e+00,  1.9519800e+00,\n",
+              "         1.7708881e+00,  1.6470156e+00,  1.5729071e+00,  1.4625059e+00,\n",
+              "         1.3881445e+00,  1.3379683e+00,  1.3052688e+00,  1.2468668e+00,\n",
+              "         1.2023062e+00,  1.1269653e+00,  1.1022494e+00,  1.0541168e+00,\n",
+              "         1.0267943e+00,  9.7805512e-01,  9.2956728e-01,  9.2703992e-01,\n",
+              "         9.1599506e-01,  8.9450091e-01,  8.5012424e-01,  8.2220656e-01,\n",
+              "         7.9883534e-01,  7.8205061e-01,  7.3997599e-01,  7.3860037e-01,\n",
+              "...\n",
+              "        -1.9736919e+02, -1.9725951e+02, -1.9730052e+02, -1.9728384e+02,\n",
+              "        -1.9724889e+02, -1.9722919e+02, -1.9715518e+02, -1.9727151e+02,\n",
+              "        -1.9724452e+02, -1.9721884e+02, -1.9717354e+02, -1.9723384e+02,\n",
+              "        -1.9719716e+02, -1.9714218e+02, -1.9723254e+02, -1.9710817e+02,\n",
+              "        -1.9708250e+02, -1.9709784e+02, -1.9708986e+02, -1.9712950e+02,\n",
+              "        -1.9721385e+02, -1.9720052e+02, -1.9717422e+02, -1.9710918e+02,\n",
+              "        -1.9715718e+02, -1.9714487e+02, -1.9715251e+02, -1.9714418e+02,\n",
+              "        -1.9714218e+02, -1.9706715e+02, -1.9705818e+02, -1.9705084e+02,\n",
+              "        -1.9708583e+02, -1.9708820e+02, -1.9714618e+02, -1.9709253e+02,\n",
+              "        -1.9707854e+02, -1.9714384e+02, -1.9717952e+02, -1.9718620e+02,\n",
+              "        -1.9718388e+02, -1.9716652e+02, -1.9712685e+02, -1.9720485e+02,\n",
+              "        -1.9718315e+02, -1.9713019e+02, -1.9714951e+02, -1.9724086e+02,\n",
+              "        -1.9716119e+02, -1.9719583e+02, -1.9724786e+02, -1.9716052e+02,\n",
+              "        -1.9725883e+02, -1.9720285e+02, -1.9717485e+02, -1.9725154e+02,\n",
+              "        -1.9714687e+02, -1.9711821e+02, -1.9714719e+02, -1.9711786e+02,\n",
+              "        -1.9714052e+02, -1.9714351e+02, -1.9715118e+02, -1.9712117e+02,\n",
+              "        -1.9710718e+02, -1.9718983e+02, -1.9715218e+02, -1.9712483e+02,\n",
+              "        -1.9706255e+02, -1.9714519e+02, -1.9712418e+02, -1.9705786e+02,\n",
+              "        -1.9708685e+02, -1.9711749e+02, -1.9707716e+02, -1.9707919e+02,\n",
+              "        -1.9719186e+02, -1.9713850e+02, -1.9714883e+02]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>accel_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.262 -1.263 -1.26 ... 9.714 9.713</div><input id='attrs-0fbc2e0a-e093-4d4b-9035-fff95de3ba46' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0fbc2e0a-e093-4d4b-9035-fff95de3ba46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-150192e3-30a3-4605-b576-2e4966a1f9e0' class='xr-var-data-in' type='checkbox'><label for='data-150192e3-30a3-4605-b576-2e4966a1f9e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>m s-2</dd><dt><span>long_name :</span></dt><dd>Acceleration</dd></dl></div><div class='xr-var-data'><pre>array([[-1.2623771 , -1.2625197 , -1.2600151 , -1.2631888 , -1.2615377 ,\n",
+              "        -1.2616537 , -1.262574  , -1.2627327 , -1.2632962 , -1.2634871 ,\n",
+              "        -1.2617764 , -1.2599101 , -1.2592376 , -1.2577692 , -1.259011  ,\n",
+              "        -1.2584039 , -1.2585176 , -1.2577502 , -1.2569212 , -1.2552022 ,\n",
+              "        -1.2558354 , -1.2547812 , -1.2564313 , -1.2570257 , -1.2564919 ,\n",
+              "        -1.2552761 , -1.2551885 , -1.254373  , -1.2521615 , -1.253256  ,\n",
+              "        -1.2520183 , -1.2556639 , -1.2544196 , -1.2537049 , -1.2514051 ,\n",
+              "        -1.251719  , -1.2501887 , -1.2550075 , -1.2560523 , -1.2542702 ,\n",
+              "        -1.2513357 , -1.2537422 , -1.25587   , -1.2554086 , -1.2568508 ,\n",
+              "        -1.2513126 , -1.251984  , -1.2514541 , -1.2487588 , -1.249171  ,\n",
+              "        -1.2487395 , -1.2432916 , -1.2308283 , -1.2085198 , -1.1925628 ,\n",
+              "        -1.1850357 , -1.175814  , -1.1718632 , -1.1669031 , -1.1620393 ,\n",
+              "        -1.1585126 , -1.1573663 , -1.1550487 , -1.1537894 , -1.1520277 ,\n",
+              "        -1.1507337 , -1.1474868 , -1.1443372 , -1.1442864 , -1.1430473 ,\n",
+              "        -1.1418384 , -1.141045  , -1.1385593 , -1.1344901 , -1.134764  ,\n",
+              "        -1.1317551 , -1.1333026 , -1.1325271 , -1.1293766 , -1.1324316 ,\n",
+              "        -1.1310244 , -1.1295373 , -1.1287975 , -1.1317044 , -1.1290994 ,\n",
+              "        -1.1286312 , -1.1276112 , -1.1271322 , -1.128308  , -1.1257491 ,\n",
+              "        -1.1227695 , -1.1230273 , -1.119395  , -1.1190095 , -1.1182653 ,\n",
+              "        -1.1186818 , -1.1167871 , -1.1160123 , -1.1153725 , -1.1143075 ,\n",
+              "...\n",
+              "         9.716884  ,  9.718464  ,  9.717347  ,  9.717715  ,  9.714792  ,\n",
+              "         9.714857  ,  9.712732  ,  9.712222  ,  9.713994  ,  9.715383  ,\n",
+              "         9.71674   ,  9.716182  ,  9.717108  ,  9.716772  ,  9.715446  ,\n",
+              "         9.714425  ,  9.7126045 ,  9.713626  ,  9.7121105 ,  9.711023  ,\n",
+              "         9.711408  ,  9.709459  ,  9.712988  ,  9.7141695 ,  9.710418  ,\n",
+              "         9.713371  ,  9.713164  ,  9.711615  ,  9.713355  ,  9.714377  ,\n",
+              "         9.714473  ,  9.719391  ,  9.71805   ,  9.71583   ,  9.716421  ,\n",
+              "         9.71658   ,  9.71583   ,  9.71334   ,  9.7177305 ,  9.716677  ,\n",
+              "         9.71476   ,  9.716166  ,  9.713404  ,  9.715751  ,  9.715623  ,\n",
+              "         9.712237  ,  9.714856  ,  9.7166605 ,  9.713179  ,  9.7175865 ,\n",
+              "         9.710929  ,  9.71484   ,  9.715895  ,  9.712062  ,  9.71591   ,\n",
+              "         9.714346  ,  9.716932  ,  9.718177  ,  9.718816  ,  9.713802  ,\n",
+              "         9.717826  ,  9.715128  ,  9.711727  ,  9.713515  ,  9.718353  ,\n",
+              "         9.716836  ,  9.716278  ,  9.717762  ,  9.718656  ,  9.714761  ,\n",
+              "         9.713004  ,  9.710816  ,  9.71409   ,  9.716276  ,  9.713579  ,\n",
+              "         9.716166  ,  9.718401  ,  9.716804  ,  9.718209  ,  9.71428   ,\n",
+              "         9.714553  ,  9.715957  ,  9.7148075 ,  9.717874  ,  9.716309  ,\n",
+              "         9.715032  ,  9.7090435 ,  9.711168  ,  9.7130995 ,  9.713355  ,\n",
+              "         9.715256  ,  9.714936  ,  9.7148075 ,  9.711726  ,  9.711886  ,\n",
+              "         9.713675  ,  9.714042  ,  9.712781  ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>error_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-3a80e8d0-e1cb-4b9d-8fbb-a98553a57307' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a80e8d0-e1cb-4b9d-8fbb-a98553a57307' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21bbc13f-6bcc-444c-a75d-b078e8077e08' class='xr-var-data-in' type='checkbox'><label for='data-21bbc13f-6bcc-444c-a75d-b078e8077e08' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Error Code</dd></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.054e+09 1.054e+09 ... 1.054e+09</div><input id='attrs-4e2a127a-722e-4e3d-b832-2e441c6c1281' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e2a127a-722e-4e3d-b832-2e441c6c1281' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf24eb9b-eb79-448d-9766-627b781801a5' class='xr-var-data-in' type='checkbox'><label for='data-cf24eb9b-eb79-448d-9766-627b781801a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Status Code</dd></dl></div><div class='xr-var-data'><pre>array([1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355693e+09, 1.05355686e+09, 1.05355693e+09,\n",
+              "       1.05355699e+09, 1.05355686e+09, 1.05355699e+09, 1.05355699e+09,\n",
+              "       1.05355699e+09, 1.05355699e+09, 1.05355699e+09, 1.05355699e+09,\n",
+              "       1.05355699e+09, 1.05355699e+09, 1.05355699e+09, 1.05355699e+09,\n",
+              "       1.05355699e+09, 1.05355699e+09, 1.05355699e+09, 1.05355693e+09,\n",
+              "       1.05355693e+09, 1.05355693e+09, 1.05355693e+09, 1.05355693e+09,\n",
+              "       1.05355693e+09, 1.05355693e+09, 1.05355693e+09, 1.05355693e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355693e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355693e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "...\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09, 1.05355686e+09,\n",
+              "       1.05355686e+09, 1.05355686e+09, 1.05355686e+09], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vel_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0006333 -0.004143 ... nan nan</div><input id='attrs-ded02086-1aa9-47f4-9ad4-9340683e0a78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ded02086-1aa9-47f4-9ad4-9340683e0a78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdd3a7ae-5412-4b81-b197-f498d81280bd' class='xr-var-data-in' type='checkbox'><label for='data-fdd3a7ae-5412-4b81-b197-f498d81280bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Water Velocity</dd><dt><span>Comments :</span></dt><dd>Filtered of data with a correlation value below 50%</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.00063333, -0.00414333, -0.00776667, ..., -0.01952   ,\n",
+              "        -0.02035667, -0.01573333],\n",
+              "       [ 0.02268667,  0.01564333,  0.01504   , ..., -0.00309667,\n",
+              "        -0.00658667, -0.00238   ],\n",
+              "       [ 0.02739334,  0.01897667,  0.01496333, ...,  0.00196667,\n",
+              "        -0.00096667,  0.00083946],\n",
+              "       ...,\n",
+              "       [        nan,         nan,         nan, ...,         nan,\n",
+              "                nan,         nan],\n",
+              "       [        nan,         nan,         nan, ...,         nan,\n",
+              "                nan,         nan],\n",
+              "       [        nan,         nan,         nan, ...,         nan,\n",
+              "                nan,         nan]], shape=(28, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>amp_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>80.08 80.44 80.75 ... nan nan nan</div><input id='attrs-49a172f6-4972-4afb-836c-d50c632be796' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49a172f6-4972-4afb-836c-d50c632be796' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-275d7786-316d-4218-a75a-faa242769033' class='xr-var-data-in' type='checkbox'><label for='data-275d7786-316d-4218-a75a-faa242769033' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Amplitude</dd><dt><span>standard_name :</span></dt><dd>signal_intensity_from_multibeam_acoustic_doppler_velocity_sensor_in_sea_water</dd><dt><span>Comments :</span></dt><dd>Filtered of data with a correlation value below 50%</dd></dl></div><div class='xr-var-data'><pre>array([[80.085   , 80.43833 , 80.75166 , ..., 81.761665, 81.86    ,\n",
+              "        81.745   ],\n",
+              "       [76.05    , 76.60333 , 77.066666, ..., 78.23    , 78.21667 ,\n",
+              "        78.045   ],\n",
+              "       [73.58833 , 74.355   , 75.083336, ..., 75.265   , 75.098335,\n",
+              "        74.92976 ],\n",
+              "       ...,\n",
+              "       [      nan,       nan,       nan, ...,       nan,       nan,\n",
+              "              nan],\n",
+              "       [      nan,       nan,       nan, ...,       nan,       nan,\n",
+              "              nan],\n",
+              "       [      nan,       nan,       nan, ...,       nan,       nan,\n",
+              "              nan]], shape=(28, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>corr_b5</span></div><div class='xr-var-dims'>(range_b5, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>93.52 94.19 93.97 ... 0.0 0.0 0.0</div><input id='attrs-b0580eef-8bc8-4736-bff0-9168e45752bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0580eef-8bc8-4736-bff0-9168e45752bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34c2e6b9-d367-4a90-b096-9c9f3372fedf' class='xr-var-data-in' type='checkbox'><label for='data-34c2e6b9-d367-4a90-b096-9c9f3372fedf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Correlation</dd><dt><span>standard_name :</span></dt><dd>beam_consistency_indicator_from_multibeam_acoustic_doppler_velocity_profiler_in_sea_water</dd><dt><span>Comments :</span></dt><dd>Filtered of data with a correlation value below 50%</dd></dl></div><div class='xr-var-data'><pre>array([[93.51667 , 94.18667 , 93.97    , ..., 92.276665, 92.09    ,\n",
+              "        92.61667 ],\n",
+              "       [96.75    , 96.403336, 96.32    , ..., 96.433334, 96.89    ,\n",
+              "        96.57667 ],\n",
+              "       [97.19    , 97.32333 , 97.136665, ..., 96.08667 , 97.16    ,\n",
+              "        96.96667 ],\n",
+              "       ...,\n",
+              "       [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
+              "         0.      ],\n",
+              "       [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
+              "         0.      ],\n",
+              "       [ 0.      ,  0.      ,  0.      , ...,  0.      ,  0.      ,\n",
+              "         0.      ]], shape=(28, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientmat_b5</span></div><div class='xr-var-dims'>(earth, inst, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.2166 -0.217 ... 0.9937 0.9937</div><input id='attrs-184218df-2500-4c7a-a730-b3c40ed75966' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-184218df-2500-4c7a-a730-b3c40ed75966' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b57434c7-640a-4e6f-b13c-98477a03e826' class='xr-var-data-in' type='checkbox'><label for='data-b57434c7-640a-4e6f-b13c-98477a03e826' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Orientation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[[-2.16565624e-01, -2.17020363e-01, -2.15714216e-01, ...,\n",
+              "         -2.15817824e-01, -2.15457186e-01, -2.15469748e-01],\n",
+              "        [-9.68014121e-01, -9.67880666e-01, -9.68221545e-01, ...,\n",
+              "         -9.70180333e-01, -9.70283389e-01, -9.70276892e-01],\n",
+              "        [-1.26286745e-01, -1.26509830e-01, -1.26157105e-01, ...,\n",
+              "         -1.09885700e-01, -1.09676003e-01, -1.09719723e-01]],\n",
+              "\n",
+              "       [[ 9.76216435e-01,  9.76112664e-01,  9.76405323e-01, ...,\n",
+              "          9.76383269e-01,  9.76462007e-01,  9.76460576e-01],\n",
+              "        [-2.14884892e-01, -2.15368673e-01, -2.14055121e-01, ...,\n",
+              "         -2.14541376e-01, -2.14190111e-01, -2.14200497e-01],\n",
+              "        [-2.69518793e-02, -2.67608669e-02, -2.67287735e-02, ...,\n",
+              "         -2.34543420e-02, -2.33496260e-02, -2.33698264e-02]],\n",
+              "\n",
+              "       [[-1.05265796e-03, -1.35056104e-03, -1.13043608e-03, ...,\n",
+              "         -8.24717747e-04, -8.40478169e-04, -8.31306970e-04],\n",
+              "        [-1.29126370e-01, -1.29302278e-01, -1.28952518e-01, ...,\n",
+              "         -1.12357967e-01, -1.12130813e-01, -1.12177916e-01],\n",
+              "        [ 9.91627216e-01,  9.91603792e-01,  9.91649806e-01, ...,\n",
+              "          9.93667185e-01,  9.93692756e-01,  9.93687451e-01]]],\n",
+              "      shape=(3, 3, 183), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angrt_b5</span></div><div class='xr-var-dims'>(dirIMU, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0008123 0.0008472 ... -0.002637</div><input id='attrs-08484c2e-58ca-4393-ae9d-41e927dc4c3e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08484c2e-58ca-4393-ae9d-41e927dc4c3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b1bdb9c-e0c1-444f-b7e9-04332e08b3cf' class='xr-var-data-in' type='checkbox'><label for='data-5b1bdb9c-e0c1-444f-b7e9-04332e08b3cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>rad s-1</dd><dt><span>long_name :</span></dt><dd>Angular Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.00081228,  0.00084717,  0.00085335,  0.00075436,  0.00084513,\n",
+              "         0.00085451,  0.00073719,  0.00067843,  0.00075248,  0.00074199,\n",
+              "         0.00070569,  0.00065896,  0.0006914 ,  0.00069842,  0.00074138,\n",
+              "         0.0006676 ,  0.00060215,  0.00059847,  0.0006675 ,  0.0006136 ,\n",
+              "         0.00056599,  0.00061758,  0.00068752,  0.00066373,  0.00073918,\n",
+              "         0.00085721,  0.00084523,  0.0009018 ,  0.00089635,  0.00084324,\n",
+              "         0.00086276,  0.00089614,  0.00096862,  0.00108153,  0.00095481,\n",
+              "         0.00098828,  0.00098117,  0.00097845,  0.00099421,  0.00095727,\n",
+              "         0.00108126,  0.00108415,  0.00096381,  0.00100037,  0.00098756,\n",
+              "         0.00103554,  0.00096841,  0.00107755,  0.00104051,  0.0009601 ,\n",
+              "         0.00106976,  0.0010707 ,  0.00102194,  0.0009954 ,  0.00100513,\n",
+              "         0.0010245 ,  0.00102471,  0.00096594,  0.0010335 ,  0.00105437,\n",
+              "         0.00105971,  0.00095506,  0.00102042,  0.00097918,  0.00088768,\n",
+              "         0.0009018 ,  0.00096684,  0.00101125,  0.00096008,  0.0008592 ,\n",
+              "         0.00082965,  0.00095935,  0.00094485,  0.00081024,  0.00092011,\n",
+              "         0.00098175,  0.00094213,  0.00095046,  0.00099598,  0.00104662,\n",
+              "         0.00101681,  0.0010222 ,  0.00099111,  0.001044  ,  0.00103549,\n",
+              "         0.00097536,  0.00099907,  0.00097684,  0.00104176,  0.00094763,\n",
+              "         0.0009761 ,  0.00097227,  0.00089143,  0.00096118,  0.00097306,\n",
+              "         0.00096506,  0.00094653,  0.00092565,  0.00091383,  0.0009503 ,\n",
+              "...\n",
+              "        -0.00262043, -0.00258136, -0.00261717, -0.00257811, -0.00261066,\n",
+              "        -0.00255532, -0.00266274, -0.00254881, -0.00255858, -0.00259764,\n",
+              "        -0.00258462, -0.00252602, -0.00258787, -0.00256183, -0.00260415,\n",
+              "        -0.00251626, -0.00250975, -0.00243488, -0.00254881, -0.00264321,\n",
+              "        -0.00260089, -0.00263996, -0.0026367 , -0.00271157, -0.00256183,\n",
+              "        -0.00271808, -0.00277993, -0.00284178, -0.00276365, -0.00277016,\n",
+              "        -0.00279946, -0.00295896, -0.00294594, -0.00302732, -0.00302407,\n",
+              "        -0.00301756, -0.00298501, -0.00291339, -0.00296548, -0.00294269,\n",
+              "        -0.00311196, -0.00294594, -0.0030143 , -0.00297198, -0.00296873,\n",
+              "        -0.002985  , -0.0030729 , -0.0030143 , -0.00306638, -0.00288084,\n",
+              "        -0.00289386, -0.00281899, -0.00278644, -0.0028255 , -0.00276365,\n",
+              "        -0.00277993, -0.002666  , -0.00267576, -0.002666  , -0.00268227,\n",
+              "        -0.00268878, -0.00263019, -0.00254881, -0.00262368, -0.00263019,\n",
+              "        -0.00260415, -0.00257811, -0.0026074 , -0.00249673, -0.00254881,\n",
+              "        -0.00258787, -0.00263019, -0.00255532, -0.00269204, -0.00258136,\n",
+              "        -0.00259113, -0.00272133, -0.00258462, -0.00263019, -0.00261066,\n",
+              "        -0.00265949, -0.00270831, -0.00258787, -0.0025423 , -0.00262368,\n",
+              "        -0.00264647, -0.00268879, -0.00251626, -0.00256183, -0.00255207,\n",
+              "        -0.00251626, -0.00251626, -0.00249998, -0.00248371, -0.0024479 ,\n",
+              "        -0.00254881, -0.00254881, -0.0026367 ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quaternions_b5</span></div><div class='xr-var-dims'>(q, time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.6245 0.6243 ... 0.7784 0.7784</div><input id='attrs-783a8e7c-a6f7-4666-95ec-2657d964c021' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-783a8e7c-a6f7-4666-95ec-2657d964c021' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-544db24d-04b2-4a17-b5c6-53148ebfc79f' class='xr-var-data-in' type='checkbox'><label for='data-544db24d-04b2-4a17-b5c6-53148ebfc79f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Quaternions</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.6245025 ,  0.62430865,  0.62484366,  0.62450564,  0.624701  ,\n",
+              "         0.62466866,  0.62460196,  0.6247584 ,  0.62459546,  0.62464297,\n",
+              "         0.6246826 ,  0.62496835,  0.6249581 ,  0.6250585 ,  0.62494546,\n",
+              "         0.6250052 ,  0.62508506,  0.62507963,  0.6253132 ,  0.6254015 ,\n",
+              "         0.6253524 ,  0.6254653 ,  0.62515104,  0.62495625,  0.62512195,\n",
+              "         0.6251015 ,  0.624793  ,  0.6250713 ,  0.6249948 ,  0.62489176,\n",
+              "         0.6248301 ,  0.62451917,  0.6248372 ,  0.62479085,  0.62502736,\n",
+              "         0.6249378 ,  0.62497205,  0.62445515,  0.62417245,  0.6244453 ,\n",
+              "         0.6248608 ,  0.62453014,  0.62416404,  0.6242139 ,  0.62425303,\n",
+              "         0.62470126,  0.6248098 ,  0.62460905,  0.62480783,  0.6246901 ,\n",
+              "         0.6245936 ,  0.6248162 ,  0.624754  ,  0.62437105,  0.62430066,\n",
+              "         0.6244233 ,  0.6243633 ,  0.62407166,  0.6241861 ,  0.6241456 ,\n",
+              "         0.6239719 ,  0.62391376,  0.62415487,  0.6238682 ,  0.6239241 ,\n",
+              "         0.62390107,  0.6236789 ,  0.6237806 ,  0.6236614 ,  0.62358916,\n",
+              "         0.6236376 ,  0.62371755,  0.6237382 ,  0.6238726 ,  0.6240171 ,\n",
+              "         0.6239264 ,  0.623931  ,  0.6237308 ,  0.62395936,  0.6234018 ,\n",
+              "         0.6237265 ,  0.6237913 ,  0.6235492 ,  0.62318647,  0.62349266,\n",
+              "         0.62327045,  0.6232548 ,  0.6233126 ,  0.6232084 ,  0.6232786 ,\n",
+              "         0.62339824,  0.62359285,  0.6235284 ,  0.6235471 ,  0.6234016 ,\n",
+              "         0.6233313 ,  0.6232729 ,  0.6232614 ,  0.62335205,  0.6232998 ,\n",
+              "...\n",
+              "         0.7798304 ,  0.77984285,  0.7798039 ,  0.7798881 ,  0.77983624,\n",
+              "         0.779747  ,  0.7796003 ,  0.7796562 ,  0.77964693,  0.77976   ,\n",
+              "         0.77982175,  0.77987325,  0.7798803 ,  0.77981853,  0.7798599 ,\n",
+              "         0.77976817,  0.7797355 ,  0.7797223 ,  0.77958274,  0.7794968 ,\n",
+              "         0.77951866,  0.7793451 ,  0.77977306,  0.7798404 ,  0.7796792 ,\n",
+              "         0.77951556,  0.7797541 ,  0.7796244 ,  0.77954704,  0.779882  ,\n",
+              "         0.7796897 ,  0.78009367,  0.77984214,  0.77977324,  0.77981466,\n",
+              "         0.77967215,  0.77980614,  0.7795769 ,  0.77972573,  0.77955645,\n",
+              "         0.7796588 ,  0.77955323,  0.7795721 ,  0.7795167 ,  0.7794243 ,\n",
+              "         0.77918714,  0.77930677,  0.7793621 ,  0.77909505,  0.7792217 ,\n",
+              "         0.7788761 ,  0.7790808 ,  0.7791028 ,  0.7788446 ,  0.7789332 ,\n",
+              "         0.7788981 ,  0.7789904 ,  0.779241  ,  0.7791693 ,  0.77889454,\n",
+              "         0.7789502 ,  0.77890694,  0.7785553 ,  0.77865255,  0.7788394 ,\n",
+              "         0.7787025 ,  0.7788493 ,  0.77891165,  0.7789452 ,  0.77867603,\n",
+              "         0.7785905 ,  0.7783878 ,  0.77855736,  0.778772  ,  0.7786441 ,\n",
+              "         0.77870494,  0.77878624,  0.77881914,  0.77884936,  0.77857053,\n",
+              "         0.77855694,  0.778695  ,  0.77849764,  0.7787041 ,  0.77873075,\n",
+              "         0.7786052 ,  0.7784392 ,  0.7783923 ,  0.77855927,  0.77852917,\n",
+              "         0.7785722 ,  0.77847767,  0.77844226,  0.77829295,  0.7782816 ,\n",
+              "         0.77846414,  0.778354  ,  0.77835685]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xmit_energy_b5</span></div><div class='xr-var-dims'>(time_b5)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>65.0 65.0 65.0 ... 65.0 65.0 65.0</div><input id='attrs-5d44956c-ab08-4505-8349-958abb22d285' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d44956c-ab08-4505-8349-958abb22d285' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af079542-e422-4727-a9aa-ee35e55d167b' class='xr-var-data-in' type='checkbox'><label for='data-af079542-e422-4727-a9aa-ee35e55d167b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Sound Pressure Level of Acoustic Signal</dd></dl></div><div class='xr-var-data'><pre>array([65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
+              "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
+              "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
+              "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
+              "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
+              "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
+              "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
+              "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
+              "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
+              "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
+              "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
+              "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
+              "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
+              "       65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65., 65.,\n",
+              "       65.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>low_volt_skip</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-0e61f0b6-7c4c-40e0-96e7-bb1e2a4cebbe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0e61f0b6-7c4c-40e0-96e7-bb1e2a4cebbe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c7662af-9d5a-40a9-8d38-b6a8fb5de2a7' class='xr-var-data-in' type='checkbox'><label for='data-8c7662af-9d5a-40a9-8d38-b6a8fb5de2a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>active_config</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-06ac4f63-6a95-4bb6-a462-653a100a377e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-06ac4f63-6a95-4bb6-a462-653a100a377e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06baa9a2-45ff-48b3-a9ee-74d355a0a411' class='xr-var-data-in' type='checkbox'><label for='data-06baa9a2-45ff-48b3-a9ee-74d355a0a411' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>telemetry_data</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-c0805455-2ff4-4e88-89b0-7c7091550ab0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c0805455-2ff4-4e88-89b0-7c7091550ab0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c831574-6334-440f-9598-3ba702c50951' class='xr-var-data-in' type='checkbox'><label for='data-5c831574-6334-440f-9598-3ba702c50951' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>boost_running</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.1267 0.1333 0.13 ... 0.22 0.22</div><input id='attrs-27e99ded-1aab-4d10-95c2-cc8021014e94' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-27e99ded-1aab-4d10-95c2-cc8021014e94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69ec1af4-09a2-4e22-ba4e-a2bd2ebf7406' class='xr-var-data-in' type='checkbox'><label for='data-69ec1af4-09a2-4e22-ba4e-a2bd2ebf7406' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.12666667, 0.13333334, 0.13      , 0.13333334, 0.13      ,\n",
+              "       0.13      , 0.13      , 0.11666667, 0.12333333, 0.11666667,\n",
+              "       0.11333334, 0.11      , 0.11      , 0.11333334, 0.11666667,\n",
+              "       0.11      , 0.11333334, 0.11333334, 0.11333334, 0.12333333,\n",
+              "       0.12      , 0.12333333, 0.12      , 0.11      , 0.11      ,\n",
+              "       0.11666667, 0.11333334, 0.11      , 0.11      , 0.11333334,\n",
+              "       0.11      , 0.11      , 0.11333334, 0.11      , 0.11      ,\n",
+              "       0.11333334, 0.11      , 0.11      , 0.11333334, 0.11333334,\n",
+              "       0.12      , 0.11666667, 0.11666667, 0.11666667, 0.11333334,\n",
+              "       0.12      , 0.11666667, 0.11      , 0.12333333, 0.13333334,\n",
+              "       0.13333334, 0.13      , 0.13333334, 0.12666667, 0.13333334,\n",
+              "       0.13      , 0.13      , 0.15333334, 0.13333334, 0.15333334,\n",
+              "       0.14333333, 0.13666667, 0.11666667, 0.13666667, 0.13333334,\n",
+              "       0.13666667, 0.14666666, 0.14      , 0.15666667, 0.13333334,\n",
+              "       0.13333334, 0.15      , 0.15      , 0.12666667, 0.13666667,\n",
+              "       0.15      , 0.13      , 0.13666667, 0.13      , 0.13666667,\n",
+              "       0.13666667, 0.14333333, 0.13666667, 0.12666667, 0.13666667,\n",
+              "       0.12333333, 0.12333333, 0.13333334, 0.12      , 0.11666667,\n",
+              "       0.11      , 0.11      , 0.11666667, 0.12333333, 0.11      ,\n",
+              "       0.11      , 0.11333334, 0.11      , 0.11      , 0.11333334,\n",
+              "       0.11      , 0.11      , 0.11333334, 0.11      , 0.11      ,\n",
+              "       0.11333334, 0.11      , 0.11      , 0.11333334, 0.11      ,\n",
+              "       0.11      , 0.11333334, 0.11      , 0.11      , 0.11333334,\n",
+              "       0.11      , 0.11      , 0.11333334, 0.11      , 0.11      ,\n",
+              "       0.11333334, 0.11      , 0.11      , 0.11333334, 0.11      ,\n",
+              "       0.11      , 0.11333334, 0.11      , 0.11      , 0.11333334,\n",
+              "       0.11      , 0.11      , 0.11333334, 0.11      , 0.11      ,\n",
+              "       0.11333334, 0.11      , 0.11      , 0.11333334, 0.11      ,\n",
+              "       0.11      , 0.11333334, 0.11      , 0.11      , 0.11333334,\n",
+              "       0.11      , 0.11      , 0.11333334, 0.11      , 0.11      ,\n",
+              "       0.11333334, 0.11      , 0.11      , 0.11333334, 0.11      ,\n",
+              "       0.11      , 0.11333334, 0.11      , 0.11      , 0.11333334,\n",
+              "       0.11      , 0.20333333, 0.22666667, 0.22      , 0.22      ,\n",
+              "       0.22666667, 0.22      , 0.22      , 0.22666667, 0.22      ,\n",
+              "       0.22      , 0.22666667, 0.22      , 0.22      , 0.22666667,\n",
+              "       0.22      , 0.22      , 0.22666667, 0.22      , 0.22      ,\n",
+              "       0.22666667, 0.22      , 0.22      ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heading</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.287 3.261 3.337 ... 3.352 3.352</div><input id='attrs-7f13db59-d349-450f-8878-6f0209dfe965' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f13db59-d349-450f-8878-6f0209dfe965' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f78f2c5-6cad-4576-9ed9-4afdfc8f8653' class='xr-var-data-in' type='checkbox'><label for='data-3f78f2c5-6cad-4576-9ed9-4afdfc8f8653' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Heading</dd><dt><span>standard_name :</span></dt><dd>platform_orientation</dd></dl></div><div class='xr-var-data'><pre>array([3.287083 , 3.2605155, 3.3369133, 3.2892823, 3.3165808, 3.3119812,\n",
+              "       3.3027983, 3.3258302, 3.3029814, 3.3100154, 3.3152144, 3.3549793,\n",
+              "       3.3538957, 3.3682969, 3.3522127, 3.3599124, 3.3716784, 3.370829 ,\n",
+              "       3.404896 , 3.4170458, 3.4101129, 3.4259632, 3.3813803, 3.352863 ,\n",
+              "       3.3772287, 3.3739138, 3.3298807, 3.368963 , 3.357279 , 3.3420138,\n",
+              "       3.3332636, 3.2887158, 3.3332634, 3.3267972, 3.3609293, 3.34788  ,\n",
+              "       3.3524635, 3.2797818, 3.2383478, 3.2774158, 3.3357968, 3.2894654,\n",
+              "       3.237099 , 3.2444148, 3.250231 , 3.3133483, 3.3285973, 3.3003979,\n",
+              "       3.3281136, 3.3106983, 3.2960656, 3.3239977, 3.3058155, 3.231132 ,\n",
+              "       3.2188826, 3.2362165, 3.2269833, 3.1857452, 3.2025456, 3.1971133,\n",
+              "       3.1716278, 3.1624265, 3.196963 , 3.1550453, 3.162944 , 3.158162 ,\n",
+              "       3.1250577, 3.1385927, 3.1210082, 3.1101758, 3.116926 , 3.1283762,\n",
+              "       3.1307604, 3.149876 , 3.1709106, 3.1579425, 3.157861 , 3.1293783,\n",
+              "       3.1623626, 3.0823452, 3.1290247, 3.1371257, 3.103561 , 3.0512455,\n",
+              "       3.0958426, 3.0634787, 3.061212 , 3.0691292, 3.0543785, 3.0647104,\n",
+              "       3.0809944, 3.1082118, 3.099077 , 3.1025605, 3.0808105, 3.070144 ,\n",
+              "       3.061945 , 3.0596778, 3.0728438, 3.0654464, 3.082978 , 3.0888774,\n",
+              "       3.090909 , 3.1166098, 3.1326916, 3.1294093, 3.1606429, 3.0821111,\n",
+              "       3.0704782, 3.099461 , 3.1288106, 3.0858114, 3.1094916, 3.1244771,\n",
+              "       3.0631604, 3.098195 , 3.0228472, 3.0709112, 3.0849445, 3.0772102,\n",
+              "       3.10411  , 3.0789108, 3.122175 , 3.0939767, 3.126108 , 3.1068432,\n",
+              "       3.1269426, 3.124676 , 3.133493 , 3.1521947, 3.1957629, 3.174427 ,\n",
+              "       3.1647441, 3.2137322, 3.1900635, 3.2544334, 3.2174487, 3.2122307,\n",
+              "       3.2605999, 3.244882 , 3.2509172, 3.234432 , 3.1874464, 3.200428 ,\n",
+              "       3.251467 , 3.2418153, 3.24985  , 3.3141315, 3.2959988, 3.2620163,\n",
+              "       3.2882996, 3.2601004, 3.2490656, 3.242116 , 3.2917488, 3.306215 ,\n",
+              "       3.3455298, 3.3139143, 3.274265 , 3.2986312, 3.2870982, 3.271833 ,\n",
+              "       3.2660322, 3.2617817, 3.3116815, 3.314548 , 3.289132 , 3.3249977,\n",
+              "       3.287216 , 3.282166 , 3.306248 , 3.3363798, 3.3452635, 3.314365 ,\n",
+              "       3.3198478, 3.3122149, 3.3298814, 3.3361466, 3.3632295, 3.3652124,\n",
+              "       3.331114 , 3.352297 , 3.351696 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pitch</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.05523 -0.07217 ... -0.0429</div><input id='attrs-08bf9483-f94a-47e8-a9f7-3ebd5cd4d73c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08bf9483-f94a-47e8-a9f7-3ebd5cd4d73c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc6b05ac-bc98-4aca-b40b-b17091d5b850' class='xr-var-data-in' type='checkbox'><label for='data-bc6b05ac-bc98-4aca-b40b-b17091d5b850' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Pitch</dd><dt><span>standard_name :</span></dt><dd>platform_pitch</dd></dl></div><div class='xr-var-data'><pre>array([-0.05523333, -0.07216667, -0.05975001, -0.0719    , -0.06111666,\n",
+              "       -0.05995   , -0.07213333, -0.07148333, -0.07696667, -0.08181667,\n",
+              "       -0.0731    , -0.0579    , -0.05488333, -0.05605   , -0.05533333,\n",
+              "       -0.05278333, -0.047     , -0.0521    , -0.05088333, -0.04305   ,\n",
+              "       -0.04223333, -0.0388    , -0.05338333, -0.0568    , -0.0611    ,\n",
+              "       -0.0627    , -0.07021666, -0.05368333, -0.0487    , -0.0493    ,\n",
+              "       -0.05311666, -0.06443334, -0.04586667, -0.04441666, -0.04498333,\n",
+              "       -0.03575   , -0.03521667, -0.07056666, -0.07609999, -0.0662    ,\n",
+              "       -0.04191666, -0.06681666, -0.06818333, -0.07636666, -0.07111666,\n",
+              "       -0.05511666, -0.0493    , -0.05571667, -0.04891667, -0.04571667,\n",
+              "       -0.04198333, -0.00336667,  0.08048334,  0.25323334,  0.22161667,\n",
+              "        0.19196668,  0.15959999,  0.11676668,  0.09488333,  0.07456666,\n",
+              "        0.05981667,  0.06043334,  0.06175001,  0.05643333,  0.04858334,\n",
+              "        0.06248334,  0.06495   ,  0.07498333,  0.06741667,  0.07038333,\n",
+              "        0.06546666,  0.06541666,  0.06608333,  0.07325   ,  0.0566    ,\n",
+              "        0.054     ,  0.061     ,  0.0511    ,  0.05655   ,  0.02896667,\n",
+              "        0.02978333,  0.04755   ,  0.01526667,  0.00998333,  0.0108    ,\n",
+              "        0.00458333,  0.00831667,  0.00378333, -0.00401667, -0.00796667,\n",
+              "        0.00555   ,  0.01133333,  0.00541667, -0.0047    , -0.0019    ,\n",
+              "       -0.00158333, -0.01193333, -0.00146667, -0.00791667, -0.00841667,\n",
+              "       -0.00898333, -0.00903333, -0.002     ,  0.00205   ,  0.00393333,\n",
+              "       -0.00233333,  0.01098333, -0.01495   , -0.01253333,  0.0059    ,\n",
+              "        0.01675   , -0.0048    ,  0.00353333,  0.00155   , -0.01018333,\n",
+              "        0.00053333, -0.0111    , -0.01913333, -0.02155   , -0.02396666,\n",
+              "       -0.01793333, -0.02523333, -0.0194    , -0.02291666, -0.02203333,\n",
+              "       -0.0282    , -0.02571667, -0.03851666, -0.0208    , -0.03573333,\n",
+              "       -0.02388333, -0.03908334, -0.04381667, -0.031     , -0.04036666,\n",
+              "       -0.02826666, -0.04583333, -0.0394    , -0.03658333, -0.04336667,\n",
+              "       -0.04073333, -0.05656667, -0.0553    , -0.05688334, -0.04293333,\n",
+              "       -0.05556666, -0.05011667, -0.02433333, -0.03963333, -0.04716667,\n",
+              "       -0.05826667, -0.05943333, -0.06553333, -0.04911667, -0.04304999,\n",
+              "       -0.023     , -0.03935   , -0.03393333, -0.04798333, -0.05141667,\n",
+              "       -0.04823333, -0.05695   , -0.05431667, -0.07600001, -0.0419    ,\n",
+              "       -0.04428333, -0.05206667, -0.04676667, -0.05188334, -0.0574    ,\n",
+              "       -0.06316667, -0.0484    , -0.04308333, -0.04601667, -0.0499    ,\n",
+              "       -0.05471666, -0.05536667, -0.04616667, -0.02825   , -0.03388334,\n",
+              "       -0.0423    , -0.04288333, -0.0429    ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>roll</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.414 -7.424 ... -6.433 -6.436</div><input id='attrs-2d6f4d64-3246-4832-b1fc-083c048d424f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d6f4d64-3246-4832-b1fc-083c048d424f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33ad160c-075a-434a-9ede-419f3fb177f2' class='xr-var-data-in' type='checkbox'><label for='data-33ad160c-075a-434a-9ede-419f3fb177f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Roll</dd><dt><span>standard_name :</span></dt><dd>platform_roll</dd></dl></div><div class='xr-var-data'><pre>array([-7.414066 , -7.424116 , -7.4041324, -7.422417 , -7.4120665,\n",
+              "       -7.4167333, -7.4193   , -7.4148664, -7.4301662, -7.419133 ,\n",
+              "       -7.4179006, -7.402567 , -7.4040666, -7.394583 , -7.403933 ,\n",
+              "       -7.394567 , -7.39615  , -7.3910007, -7.386317 , -7.3802505,\n",
+              "       -7.3838835, -7.3748665, -7.3916   , -7.391783 , -7.3853164,\n",
+              "       -7.377949 , -7.3945003, -7.3738666, -7.373867 , -7.369084 ,\n",
+              "       -7.372767 , -7.3854327, -7.3678336, -7.3722672, -7.3625836,\n",
+              "       -7.3666334, -7.360083 , -7.3809   , -7.3875995, -7.3742666,\n",
+              "       -7.3516665, -7.369966 , -7.387017 , -7.386867 , -7.379284 ,\n",
+              "       -7.361167 , -7.3493667, -7.3615665, -7.344417 , -7.350366 ,\n",
+              "       -7.3399496, -7.300467 , -7.236433 , -7.0768504, -6.997516 ,\n",
+              "       -6.949867 , -6.899017 , -6.8814178, -6.8526497, -6.8263836,\n",
+              "       -6.813383 , -6.8076496, -6.78375  , -6.781251 , -6.7671165,\n",
+              "       -6.7577667, -6.7516494, -6.728033 , -6.72715  , -6.716767 ,\n",
+              "       -6.708234 , -6.69495  , -6.6866503, -6.6791   , -6.6603007,\n",
+              "       -6.659384 , -6.6542172, -6.659967 , -6.6461835, -6.667401 ,\n",
+              "       -6.6473837, -6.6366506, -6.6365337, -6.649917 , -6.6360173,\n",
+              "       -6.638784 , -6.6400666, -6.62885  , -6.628683 , -6.617567 ,\n",
+              "       -6.6096334, -6.59625  , -6.589217 , -6.5807333, -6.5850334,\n",
+              "       -6.5764165, -6.5684667, -6.5721836, -6.55585  , -6.5561   ,\n",
+              "       -6.5420327, -6.5459166, -6.5430665, -6.5388503, -6.5341506,\n",
+              "       -6.5321503, -6.52225  , -6.539833 , -6.5372   , -6.528584 ,\n",
+              "       -6.5262337, -6.5375338, -6.5275497, -6.51875  , -6.5324664,\n",
+              "       -6.525267 , -6.548233 , -6.5326   , -6.5178337, -6.5193667,\n",
+              "       -6.505567 , -6.5125165, -6.4989333, -6.508083 , -6.49675  ,\n",
+              "       -6.50315  , -6.4925   , -6.485383 , -6.492067 , -6.4811997,\n",
+              "       -6.4708   , -6.4739504, -6.472566 , -6.4622664, -6.4698668,\n",
+              "       -6.4504333, -6.4621997, -6.4667   , -6.45215  , -6.4554167,\n",
+              "       -6.454716 , -6.461316 , -6.4738665, -6.473217 , -6.458534 ,\n",
+              "       -6.46535  , -6.4565167, -6.4414663, -6.4526324, -6.4590497,\n",
+              "       -6.4487834, -6.4628167, -6.46505  , -6.4660163, -6.4543834,\n",
+              "       -6.4556837, -6.4339333, -6.443283 , -6.4565334, -6.4484835,\n",
+              "       -6.4508667, -6.4604836, -6.4581666, -6.4554834, -6.4470496,\n",
+              "       -6.4438   , -6.450166 , -6.4428334, -6.45625  , -6.455867 ,\n",
+              "       -6.44465  , -6.436783 , -6.430967 , -6.4454665, -6.441799 ,\n",
+              "       -6.4480996, -6.4399   , -6.4372997, -6.4309335, -6.4305167,\n",
+              "       -6.4460497, -6.4332495, -6.4359174], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_density</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.023e+03 1.023e+03 ... 1.023e+03</div><input id='attrs-35b2ed85-ed6d-4fe3-b607-ccf38d8398a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35b2ed85-ed6d-4fe3-b607-ccf38d8398a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06996559-8ed5-44f7-b751-bd2d98806fca' class='xr-var-data-in' type='checkbox'><label for='data-06996559-8ed5-44f7-b751-bd2d98806fca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-3</dd><dt><span>long_name :</span></dt><dd>Water Density</dd><dt><span>standard_name :</span></dt><dd>sea_water_density</dd><dt><span>description :</span></dt><dd>Water density from linear approximation of sea water equation of state</dd></dl></div><div class='xr-var-data'><pre>array([1023.2506 , 1023.2348 , 1023.2431 , 1023.2559 , 1023.2423 ,\n",
+              "       1023.21655, 1023.1977 , 1023.2015 , 1023.19476, 1023.19116,\n",
+              "       1023.194  , 1023.1996 , 1023.20294, 1023.19666, 1023.19336,\n",
+              "       1023.19763, 1023.205  , 1023.20404, 1023.2148 , 1023.2179 ,\n",
+              "       1023.23627, 1023.24646, 1023.2652 , 1023.2814 , 1023.2947 ,\n",
+              "       1023.3131 , 1023.32043, 1023.33435, 1023.3452 , 1023.3554 ,\n",
+              "       1023.3606 , 1023.366  , 1023.37103, 1023.37616, 1023.38043,\n",
+              "       1023.38403, 1023.3869 , 1023.3915 , 1023.38855, 1023.3802 ,\n",
+              "       1023.3759 , 1023.3691 , 1023.3694 , 1023.3698 , 1023.3653 ,\n",
+              "       1023.3579 , 1023.3548 , 1023.35455, 1023.3548 , 1023.35455,\n",
+              "       1023.3522 , 1023.3529 , 1023.3504 , 1023.3525 , 1023.3523 ,\n",
+              "       1023.3569 , 1023.35583, 1023.35565, 1023.35364, 1023.35455,\n",
+              "       1023.35675, 1023.3567 , 1023.35565, 1023.35364, 1023.35144,\n",
+              "       1023.3499 , 1023.3452 , 1023.347  , 1023.3427 , 1023.3374 ,\n",
+              "       1023.3326 , 1023.32874, 1023.3249 , 1023.3244 , 1023.3244 ,\n",
+              "       1023.3202 , 1023.3271 , 1023.32477, 1023.3281 , 1023.3215 ,\n",
+              "       1023.3281 , 1023.3284 , 1023.3283 , 1023.3299 , 1023.33887,\n",
+              "       1023.3277 , 1023.3379 , 1023.343  , 1023.33966, 1023.35315,\n",
+              "       1023.35333, 1023.34064, 1023.33875, 1023.33   , 1023.3218 ,\n",
+              "       1023.32404, 1023.32294, 1023.30853, 1023.3122 , 1023.3125 ,\n",
+              "       1023.3147 , 1023.3218 , 1023.32446, 1023.3674 , 1023.42395,\n",
+              "       1023.4842 , 1023.5248 , 1023.5321 , 1023.545  , 1023.555  ,\n",
+              "       1023.5453 , 1023.53784, 1023.5425 , 1023.5531 , 1023.56085,\n",
+              "       1023.5671 , 1023.5697 , 1023.5727 , 1023.5777 , 1023.5851 ,\n",
+              "       1023.598  , 1023.61127, 1023.61774, 1023.6253 , 1023.63873,\n",
+              "       1023.6415 , 1023.64105, 1023.6321 , 1023.6085 , 1023.58875,\n",
+              "       1023.55664, 1023.53424, 1023.4919 , 1023.4661 , 1023.4329 ,\n",
+              "       1023.4105 , 1023.3956 , 1023.38354, 1023.3727 , 1023.36206,\n",
+              "       1023.3528 , 1023.34467, 1023.34357, 1023.345  , 1023.34937,\n",
+              "       1023.34894, 1023.3448 , 1023.3418 , 1023.3417 , 1023.3436 ,\n",
+              "       1023.3458 , 1023.3482 , 1023.3505 , 1023.34937, 1023.348  ,\n",
+              "       1023.34607, 1023.3471 , 1023.3476 , 1023.3501 , 1023.3529 ,\n",
+              "       1023.35187, 1023.34894, 1023.3476 , 1023.3455 , 1023.3432 ,\n",
+              "       1023.3432 , 1023.34186, 1023.34094, 1023.3408 , 1023.34   ,\n",
+              "       1023.33655, 1023.34143, 1023.34155, 1023.34357, 1023.3508 ,\n",
+              "       1023.3694 , 1023.37335, 1023.3781 , 1023.3796 , 1023.3752 ,\n",
+              "       1023.3806 , 1023.3899 , 1023.3975 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>depth</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>10.28 10.26 10.25 ... 10.15 10.15</div><input id='attrs-1e73a2bb-1751-48d6-b785-a83f6bc250d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e73a2bb-1751-48d6-b785-a83f6bc250d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8977d6d-2db2-41d9-81e9-240c8bb2fd19' class='xr-var-data-in' type='checkbox'><label for='data-e8977d6d-2db2-41d9-81e9-240c8bb2fd19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Water Depth</dd><dt><span>standard_name :</span></dt><dd>depth</dd></dl></div><div class='xr-var-data'><pre>array([10.275155 , 10.262421 , 10.248638 , 10.233478 , 10.216689 ,\n",
+              "       10.204074 , 10.188269 , 10.172538 , 10.158512 , 10.140744 ,\n",
+              "       10.124731 , 10.10534  , 10.088593 , 10.069619 , 10.050677 ,\n",
+              "       10.028841 , 10.00682  ,  9.981041 ,  9.958139 ,  9.932152 ,\n",
+              "        9.90408  ,  9.8704815,  9.843054 ,  9.8099   ,  9.782674 ,\n",
+              "        9.751141 ,  9.722181 ,  9.688391 ,  9.658139 ,  9.624396 ,\n",
+              "        9.591585 ,  9.559362 ,  9.5206785,  9.487036 ,  9.4516325,\n",
+              "        9.418625 ,  9.378983 ,  9.347703 ,  9.310125 ,  9.274782 ,\n",
+              "        9.240932 ,  9.203833 ,  9.168937 ,  9.127398 ,  9.091378 ,\n",
+              "        9.048801 ,  9.012082 ,  8.96804  ,  8.932783 ,  8.890241 ,\n",
+              "        8.854867 ,  8.815892 ,  8.781367 ,  8.746559 ,  8.714514 ,\n",
+              "        8.678216 ,  8.641088 ,  8.608247 ,  8.566862 ,  8.532115 ,\n",
+              "        8.495453 ,  8.461118 ,  8.42251  ,  8.39378  ,  8.36608  ,\n",
+              "        8.334696 ,  8.308269 ,  8.283072 ,  8.254289 ,  8.228873 ,\n",
+              "        8.203963 ,  8.179552 ,  8.162701 ,  8.144332 ,  8.124536 ,\n",
+              "        8.104092 ,  8.085614 ,  8.068075 ,  8.053603 ,  8.043172 ,\n",
+              "        8.025586 ,  8.014922 ,  8.00194  ,  7.9942083,  7.985075 ,\n",
+              "        7.9840665,  7.978806 ,  7.97339  ,  7.9731627,  7.971814 ,\n",
+              "        7.972329 ,  7.9674144,  7.9723177,  7.9744887,  7.9855638,\n",
+              "        7.991272 ,  7.9956956,  8.006041 ,  8.023605 ,  8.038973 ,\n",
+              "        8.049008 ,  8.066569 ,  8.078107 ,  8.090951 ,  8.110414 ,\n",
+              "        8.1288595,  8.1531725,  8.172004 ,  8.192166 ,  8.219532 ,\n",
+              "        8.241356 ,  8.265544 ,  8.288776 ,  8.314842 ,  8.338862 ,\n",
+              "        8.363347 ,  8.388729 ,  8.418659 ,  8.4457035,  8.479128 ,\n",
+              "        8.511397 ,  8.542225 ,  8.57435  ,  8.609074 ,  8.643846 ,\n",
+              "        8.674181 ,  8.707741 ,  8.740917 ,  8.776131 ,  8.809834 ,\n",
+              "        8.847663 ,  8.883326 ,  8.921983 ,  8.956591 ,  8.994466 ,\n",
+              "        9.032357 ,  9.072943 ,  9.107945 ,  9.147928 ,  9.18505  ,\n",
+              "        9.218539 ,  9.25671  ,  9.293107 ,  9.324933 ,  9.361722 ,\n",
+              "        9.397845 ,  9.436231 ,  9.464766 ,  9.502145 ,  9.534171 ,\n",
+              "        9.566268 ,  9.601108 ,  9.627889 ,  9.660232 ,  9.6932535,\n",
+              "        9.72142  ,  9.752015 ,  9.780852 ,  9.808266 ,  9.838272 ,\n",
+              "        9.864178 ,  9.885547 ,  9.914127 ,  9.934637 ,  9.957427 ,\n",
+              "        9.972928 ,  9.992192 , 10.00496  , 10.023165 , 10.037822 ,\n",
+              "       10.052144 , 10.058786 , 10.073322 , 10.083076 , 10.093331 ,\n",
+              "       10.100321 , 10.109131 , 10.117323 , 10.123545 , 10.1341   ,\n",
+              "       10.142311 , 10.14612  , 10.153638 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>U_std</span></div><div class='xr-var-dims'>(range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.04232 0.04293 0.04402 ... nan nan</div><input id='attrs-400cff7d-055a-406c-82dd-65f3899bfa15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-400cff7d-055a-406c-82dd-65f3899bfa15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d307196c-3293-4485-b360-dd1af5b8f79e' class='xr-var-data-in' type='checkbox'><label for='data-d307196c-3293-4485-b360-dd1af5b8f79e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Water Velocity Standard Deviation</dd></dl></div><div class='xr-var-data'><pre>array([[0.04231985, 0.04293143, 0.04401674, ..., 0.04380286, 0.04201568,\n",
+              "        0.04634431],\n",
+              "       [0.04002878, 0.04084466, 0.03949426, ..., 0.04000184, 0.04028782,\n",
+              "        0.03873245],\n",
+              "       [0.04025545, 0.03514179, 0.04270846, ..., 0.0391249 , 0.03997382,\n",
+              "        0.04237254],\n",
+              "       ...,\n",
+              "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
+              "               nan],\n",
+              "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
+              "               nan],\n",
+              "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
+              "               nan]], shape=(28, 183), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7981bfe4-6c23-4de2-90a7-27bebe03c277' class='xr-section-summary-in' type='checkbox'  ><label for='section-7981bfe4-6c23-4de2-90a7-27bebe03c277' class='xr-section-summary' >Attributes: <span>(41)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>fs :</span></dt><dd>1</dd><dt><span>n_bin :</span></dt><dd>300</dd><dt><span>n_fft :</span></dt><dd>300</dd><dt><span>description :</span></dt><dd>Binned averages calculated from ensembles of size &quot;n_bin&quot;</dd><dt><span>filehead_config :</span></dt><dd>{&quot;CLOCKSTR&quot;: {&quot;TIME&quot;: &quot;\\&quot;2020-08-13 13:56:21\\&quot;&quot;}, &quot;ID&quot;: &quot;STR=\\&quot;Signature1000\\&quot;,SN=101663&quot;, &quot;HW&quot;: {&quot;FW&quot;: 2212, &quot;FPGA&quot;: 169, &quot;DIGITAL&quot;: &quot;\\&quot;I-3\\&quot;&quot;, &quot;INTERFACE&quot;: &quot;\\&quot;H-2\\&quot;&quot;, &quot;ANALOG&quot;: &quot;\\&quot;G-1\\&quot;&quot;, &quot;SENSOR&quot;: &quot;\\&quot;D-1(AHRS)\\&quot;&quot;, &quot;BOOT&quot;: 21, &quot;FWMINOR&quot;: 11}, &quot;BOARDSENSGET&quot;: &quot;AV=23,NB=5,HF=1000,TTR=2.0000,TTRB5=2.0000&quot;, &quot;PWR&quot;: {&quot;PLAN&quot;: 1940.43, &quot;BURST&quot;: 1937.69, &quot;AVG&quot;: 0.0, &quot;PLAN1&quot;: 0.0, &quot;BURST1&quot;: 0.0, &quot;AVG1&quot;: 0.0, &quot;TOTAL&quot;: 1940.43}, &quot;MEM&quot;: {&quot;PLAN&quot;: 2.733, &quot;BURST&quot;: 2.733, &quot;AVG&quot;: 0.0, &quot;PLAN1&quot;: 0.0, &quot;BURST1&quot;: 0.0, &quot;AVG1&quot;: 0.0, &quot;TOTAL&quot;: 2.733}, &quot;PRECISION&quot;: {&quot;AVGHORZ&quot;: -9.99, &quot;BURSTHORZ&quot;: 2.6, &quot;BEAM5&quot;: 1.62, &quot;AVGBEAM&quot;: -9.99, &quot;BURSTBEAM&quot;: 1.55}, &quot;PLAN&quot;: {&quot;MIAVG&quot;: 600, &quot;AVG&quot;: 0, &quot;DIAVG&quot;: 0, &quot;VD&quot;: 0, &quot;MV&quot;: 10, &quot;SA&quot;: 32.0, &quot;BURST&quot;: 1, &quot;MIBURST&quot;: 1, &quot;DIBURST&quot;: 0, &quot;SV&quot;: 0.0, &quot;FN&quot;: &quot;\\&quot;S101663A007_sea_spider.ad2cp\\&quot;&quot;, &quot;SO&quot;: 0, &quot;FREQ&quot;: 1000, &quot;NSTT&quot;: 0}, &quot;BURST&quot;: {&quot;NC&quot;: 28, &quot;NB&quot;: 5, &quot;CS&quot;: 0.5, &quot;BD&quot;: 0.1, &quot;CY&quot;: &quot;\\&quot;ENU\\&quot;&quot;, &quot;PL&quot;: 0.0, &quot;SR&quot;: 1, &quot;NS&quot;: 1, &quot;VR&quot;: 2.5, &quot;VP&quot;: 0.0, &quot;DF&quot;: 3, &quot;NPING&quot;: 8, &quot;CH&quot;: 0, &quot;ALTI&quot;: 0, &quot;VR5&quot;: 2.5, &quot;BT&quot;: 0, &quot;DISV&quot;: 0, &quot;ECHO&quot;: 0, &quot;RAWALTI&quot;: 60, &quot;ALTISTART&quot;: 0.1, &quot;ALTIEND&quot;: 30.0, &quot;HR&quot;: 0, &quot;HR5&quot;: 0}, &quot;XFBURST&quot;: {&quot;ROWS&quot;: 4, &quot;COLS&quot;: 4, &quot;M11&quot;: 1.1831, &quot;M12&quot;: 0.0, &quot;M13&quot;: -1.1831, &quot;M14&quot;: 0.0, &quot;M21&quot;: 0.0, &quot;M22&quot;: -1.1831, &quot;M23&quot;: 0.0, &quot;M24&quot;: 1.1831, &quot;M31&quot;: 0.5518, &quot;M32&quot;: 0.0, &quot;M33&quot;: 0.5518, &quot;M34&quot;: 0.0, &quot;M41&quot;: 0.0, &quot;M42&quot;: 0.5518, &quot;M43&quot;: 0.0, &quot;M44&quot;: 0.5518}, &quot;USER&quot;: {&quot;POFF&quot;: 10.2, &quot;DECL&quot;: 0.0, &quot;HX&quot;: -48, &quot;HY&quot;: 48, &quot;HZ&quot;: 0}, &quot;INST&quot;: {&quot;BR&quot;: 9600, &quot;RS&quot;: 232, &quot;LED&quot;: &quot;\\&quot;OFF\\&quot;&quot;, &quot;ORIENT&quot;: &quot;\\&quot;AHRS3D\\&quot;&quot;, &quot;CMTOUT&quot;: 300, &quot;DMTOUT&quot;: 60, &quot;CFMTOUT&quot;: 60}, &quot;COMPASSCAL&quot;: {&quot;DX&quot;: 155, &quot;DY&quot;: 778, &quot;DZ&quot;: -486, &quot;M11&quot;: 31481, &quot;M12&quot;: 1726, &quot;M13&quot;: -1109, &quot;M21&quot;: -1955, &quot;M22&quot;: 32767, &quot;M23&quot;: 379, &quot;M31&quot;: 750, &quot;M32&quot;: -1851, &quot;M33&quot;: 31699}, &quot;READAHRS&quot;: &quot;STR=\\&quot;OSv6_a2_V5101_0.6 Oct  3 2019, SerialNumber=60004222,type=OS3DM\\&quot;&quot;, &quot;RECSTAT&quot;: &quot;SS=512,CS=32768,FC=127813877760,TC=127848677376,VS=127848677376&quot;, &quot;BEAMCFGLIST&quot;: [&quot;BEAM=1,THETA=25.00,PHI=0.00,FREQ=1000,BW=25,BRD=1,HWBEAM=1,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=2,THETA=25.00,PHI=-90.00,FREQ=1000,BW=25,BRD=1,HWBEAM=2,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=3,THETA=25.00,PHI=180.00,FREQ=1000,BW=25,BRD=1,HWBEAM=3,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=4,THETA=25.00,PHI=90.00,FREQ=1000,BW=25,BRD=1,HWBEAM=4,ZNOM=60.00,DIA=0.0&quot;, &quot;BEAM=5,THETA=0.00,PHI=0.00,FREQ=1000,BW=25,BRD=1,HWBEAM=5,ZNOM=60.00,DIA=0.0&quot;], &quot;BEAMIMPLIST&quot;: [&quot;BEAM=1,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=2,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=3,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=4,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;, &quot;BEAM=5,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;], &quot;LISTLICENSE&quot;: [&quot;KEY=\\&quot;C390Y1LU32C1B\\&quot;,DESC=\\&quot;Averaging Mode\\&quot;,TYPE=1&quot;, &quot;KEY=\\&quot;6F2UB3HTH2C1B\\&quot;,DESC=\\&quot;Burst Five Beams\\&quot;,TYPE=17&quot;, &quot;KEY=\\&quot;R0X9JSZPH2C1B\\&quot;,DESC=\\&quot;128GB Recorder\\&quot;,TYPE=14&quot;], &quot;CALCOMPGET&quot;: &quot;DX=155,DY=778,DZ=-486,M11=31481,M12=1726,M13=-1109,M21=-1955,M22=32767,M23=379,M31=750,M32=-1851,M33=31699&quot;, &quot;CALTEMPGET&quot;: &quot;SC=0.99906&quot;, &quot;CALTILTGET&quot;: &quot;PO=0.00,RO=0.00,MAGG=1,HO=0.00&quot;, &quot;CALACCLGET&quot;: [&quot;AX=1.000000E+00,B0X=1.791816E-02,B1X=-1.795970E-02,B2X=6.661898E-04,B3X=0.000000E+00,A1X=1.146936E-05,A2X=7.326843E-06,A3X=0.000000E+00&quot;, &quot;AY=1.000000E+00,B0Y=9.597497E-03,B1Y=-8.430577E-03,B2Y=9.310668E-04,B3Y=0.000000E+00,A1Y=7.215003E-05,A2Y=1.361528E-06,A3Y=0.000000E+00&quot;, &quot;AZ=1.000000E+00,B0Z=1.290458E-02,B1Z=2.959575E-02,B2Z=2.331257E-03,B3Z=0.000000E+00,A1Z=1.164268E-04,A2Z=-2.166612E-06,A3Z=0.000000E+00&quot;], &quot;CALGYROGET&quot;: [&quot;AX=1.094973E+00,B0X=-2.672331E+00,B1X=-1.493178E-03,B2X=9.496510E-05,B3X=0.000000E+00,A1X=2.702698E-04,A2X=8.100271E-05,A3X=0.000000E+00&quot;, &quot;AY=1.080807E+00,B0Y=3.432283E-01,B1Y=7.219538E-04,B2Y=1.416728E-04,B3Y=0.000000E+00,A1Y=9.466633E-04,A2Y=-4.216283E-05,A3Y=0.000000E+00&quot;, &quot;AZ=1.085556E+00,B0Z=-9.442614E-01,B1Z=6.433576E-04,B2Z=-1.306087E-05,B3Z=0.000000E+00,A1Z=1.430541E-03,A2Z=-7.494539E-05,A3Z=0.000000E+00&quot;], &quot;CALPRESSGET&quot;: &quot;MT=1,RREF=4.5264760000e+02,RB0=7.7074756250e-01,RB1=-7.5541806250e-02,RB2=4.9886362500e-04,RB3=-1.4193179690e-07,T0=-2.4234620000e+03,T1=1.8815180000e+00,T2=-5.0111803130e-04,T3=4.7281500000e-08,ID=\\&quot;K244314\\&quot;&quot;, &quot;CALPRESSCOEFFGET&quot;: [&quot;A0=6.3850020000e+00,A1=-5.6274000000e-03,A2=1.6346411250e-06,A3=-1.6029240630e-10,B0=-2.6056009380e-01,B1=3.1699690630e-04,B2=-9.0774206250e-08,B3=8.5142393750e-12&quot;, &quot;C0=-1.2762860000e-03,C1=1.1561740000e-06,C2=-3.5109818750e-10,C3=3.5575718750e-14,D0=3.6002040630e-06,D1=-3.3359181250e-09,D2=1.0241850000e-12,D3=-1.0446648750e-16&quot;], &quot;CALROTACCLGET&quot;: &quot;M11=0.99144,M12=0.00991,M13=-0.03081,M21=-0.00921,M22=0.99564,M23=0.01131,M31=0.03451,M32=-0.01242,M33=0.98426&quot;, &quot;CALROTGYROGET&quot;: &quot;M11=1.00000,M12=0.00803,M13=-0.02685,M21=-0.00933,M22=1.00000,M23=0.01646,M31=0.02587,M32=-0.01599,M33=1.00000&quot;, &quot;CALECHOGET&quot;: &quot;CHA0=0.00,CHB0=-17.69,CHC0=0.00&quot;}</dd><dt><span>inst_model :</span></dt><dd>Signature1000</dd><dt><span>inst_make :</span></dt><dd>Nortek</dd><dt><span>inst_type :</span></dt><dd>ADCP</dd><dt><span>burst_config :</span></dt><dd>{&quot;press_valid&quot;: true, &quot;temp_valid&quot;: true, &quot;compass_valid&quot;: true, &quot;tilt_valid&quot;: true, &quot;vel&quot;: true, &quot;amp&quot;: true, &quot;corr&quot;: true, &quot;le&quot;: false, &quot;altraw&quot;: false, &quot;ast&quot;: false, &quot;echo&quot;: false, &quot;ahrs&quot;: true, &quot;p_gd&quot;: false, &quot;std&quot;: false}</dd><dt><span>n_cells :</span></dt><dd>28</dd><dt><span>n_beams :</span></dt><dd>4</dd><dt><span>ambig_vel :</span></dt><dd>5.066</dd><dt><span>SerialNum :</span></dt><dd>101663</dd><dt><span>nominal_corr :</span></dt><dd>67</dd><dt><span>cell_size :</span></dt><dd>0.5</dd><dt><span>blank_dist :</span></dt><dd>0.1</dd><dt><span>power_level_dB :</span></dt><dd>0.0</dd><dt><span>burst_config_b5 :</span></dt><dd>{&quot;press_valid&quot;: true, &quot;temp_valid&quot;: true, &quot;compass_valid&quot;: true, &quot;tilt_valid&quot;: true, &quot;vel&quot;: true, &quot;amp&quot;: true, &quot;corr&quot;: true, &quot;le&quot;: false, &quot;altraw&quot;: false, &quot;ast&quot;: false, &quot;echo&quot;: false, &quot;ahrs&quot;: true, &quot;p_gd&quot;: false, &quot;std&quot;: false}</dd><dt><span>n_cells_b5 :</span></dt><dd>28</dd><dt><span>coord_sys_axes_b5 :</span></dt><dd>beam</dd><dt><span>n_beams_b5 :</span></dt><dd>1</dd><dt><span>ambig_vel_b5 :</span></dt><dd>5.066</dd><dt><span>SerialNum_b5 :</span></dt><dd>101663</dd><dt><span>nominal_corr_b5 :</span></dt><dd>65</dd><dt><span>cell_size_b5 :</span></dt><dd>0.5</dd><dt><span>blank_dist_b5 :</span></dt><dd>0.1</dd><dt><span>power_level_dB_b5 :</span></dt><dd>0.0</dd><dt><span>wakeup_state :</span></dt><dd>clock</dd><dt><span>orientation :</span></dt><dd>AHRS</dd><dt><span>orient_status :</span></dt><dd>AHRS-3D</dd><dt><span>proc_idle_less_3pct :</span></dt><dd>0</dd><dt><span>proc_idle_less_6pct :</span></dt><dd>0</dd><dt><span>proc_idle_less_12pct :</span></dt><dd>0</dd><dt><span>rotate_vars :</span></dt><dd>[&#x27;vel&#x27;, &#x27;accel&#x27;, &#x27;accel_b5&#x27;, &#x27;angrt&#x27;, &#x27;angrt_b5&#x27;, &#x27;mag&#x27;, &#x27;mag_b5&#x27;]</dd><dt><span>coord_sys :</span></dt><dd>principal</dd><dt><span>has_imu :</span></dt><dd>1</dd><dt><span>beam_angle :</span></dt><dd>25</dd><dt><span>range_offset :</span></dt><dd>0.6</dd><dt><span>declination :</span></dt><dd>15.8</dd><dt><span>declination_in_orientmat :</span></dt><dd>1</dd><dt><span>principal_heading :</span></dt><dd>11.1898</dd></dl></div></li></ul></div></div>"
+            ],
+            "text/plain": [
+              "<xarray.Dataset> Size: 379kB\n",
+              "Dimensions:         (time: 183, dirIMU: 3, dir: 4, range: 28, beam: 4,\n",
+              "                     earth: 3, inst: 3, q: 4, time_b5: 183, range_b5: 28)\n",
+              "Coordinates:\n",
+              "  * time            (time) datetime64[ns] 1kB 2020-08-15T00:22:30.001030683 ....\n",
+              "  * dirIMU          (dirIMU) <U10 120B 'streamwise' 'x-stream' 'vert'\n",
+              "  * dir             (dir) <U10 160B 'streamwise' 'x-stream' 'vert1' 'vert2'\n",
+              "  * range           (range) float64 224B 1.2 1.7 2.2 2.7 ... 13.2 13.7 14.2 14.7\n",
+              "  * beam            (beam) int32 16B 1 2 3 4\n",
+              "  * earth           (earth) <U1 12B 'E' 'N' 'U'\n",
+              "  * inst            (inst) <U1 12B 'X' 'Y' 'Z'\n",
+              "  * q               (q) <U1 16B 'w' 'x' 'y' 'z'\n",
+              "  * time_b5         (time_b5) datetime64[ns] 1kB 2020-08-15T00:22:29.93849515...\n",
+              "  * range_b5        (range_b5) float64 224B 1.2 1.7 2.2 2.7 ... 13.7 14.2 14.7\n",
+              "Data variables: (12/38)\n",
+              "    c_sound         (time) float32 732B 1.502e+03 1.502e+03 ... 1.498e+03\n",
+              "    temp            (time) float32 732B 14.49 14.59 14.54 ... 13.62 13.56 13.5\n",
+              "    pressure        (time) float32 732B 9.712 9.699 9.685 ... 9.58 9.584 9.591\n",
+              "    mag             (dirIMU, time) float32 2kB 3.534 3.565 ... -197.1 -197.1\n",
+              "    accel           (dirIMU, time) float32 2kB -1.261 -1.263 ... 9.714 9.712\n",
+              "    batt            (time) float32 732B 16.48 16.48 16.48 ... 16.25 16.26 16.26\n",
+              "    ...              ...\n",
+              "    heading         (time) float32 732B 3.287 3.261 3.337 ... 3.331 3.352 3.352\n",
+              "    pitch           (time) float32 732B -0.05523 -0.07217 ... -0.04288 -0.0429\n",
+              "    roll            (time) float32 732B -7.414 -7.424 -7.404 ... -6.433 -6.436\n",
+              "    water_density   (time) float32 732B 1.023e+03 1.023e+03 ... 1.023e+03\n",
+              "    depth           (time) float32 732B 10.28 10.26 10.25 ... 10.14 10.15 10.15\n",
+              "    U_std           (range, time) float32 20kB 0.04232 0.04293 ... nan nan\n",
+              "Attributes: (12/41)\n",
+              "    fs:                        1\n",
+              "    n_bin:                     300\n",
+              "    n_fft:                     300\n",
+              "    description:               Binned averages calculated from ensembles of s...\n",
+              "    filehead_config:           {\"CLOCKSTR\": {\"TIME\": \"\\\"2020-08-13 13:56:21\\\"...\n",
+              "    inst_model:                Signature1000\n",
+              "    ...                        ...\n",
+              "    has_imu:                   1\n",
+              "    beam_angle:                25\n",
+              "    range_offset:              0.6\n",
+              "    declination:               15.8\n",
+              "    declination_in_orientmat:  1\n",
+              "    principal_heading:         11.1898"
+            ]
+          },
+          "execution_count": 19,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "ds_avg"
       ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "ds_avg[\"turbulence_intensity\"] = avg_tool.turbulence_intensity(ds.velds.U_mag, noise=ds_avg[\"noise\"])\n",
-    "\n",
-    "(ds_avg[\"TI\"] - ds_avg[\"turbulence_intensity\"]).plot(cmap=\"Greens\", ylim=(0, 11))\n",
-    "plt.title(\"TI Difference\")"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 7.6 Reynolds Stress Components\n",
-    "\n",
-    "The next parameters we'll find here are the Reynolds normal and shear stresses (-$\\overline{u_iu_j}$). Since we're using the vertical beam on the ADCP, we can directly measure the vertical TKE component from the along-beam velocity using the `turbulent_kinetic_energy` function. This function is capable of calculating TKE for any along-beam velocity.\n",
-    "\n",
-    "We can also use the so-called \"beam-variance\" equations to estimate the Reynolds stress tensor components (i.e. $\\overline{u'^2}$, $\\overline{v'^2}$, $\\overline{w'^2}$, $\\overline{u'v'}$, $\\overline{u'w'^2}$, $\\overline{v'w'^2}$), which define the normal and shear stresses acting on an element of water. These equations are built into the functions `stress_tensor_5beam` and `stress_tensor4beam`. \n",
-    "\n",
-    "Both of these functions will give comparable results, but `stress_tensor_5beam` takes into account instrument tilt, and `stress_tensor_4beam` does not. Both will throw a tilt warning if tilt is greater than 5 degrees.\n",
-    "\n",
-    "#### Quick 5-beam ADCP lesson before we dive in:\n",
-    "\n",
-    "There are a couple caveats to calculating Reynolds stress tensor components:\n",
-    "  1. Because this instrument only has 5 beams, we can only find 5 of the 6 components (6 unknowns, 5 knowns)\n",
-    "  2. Because the ADCP's instrument (XYZ) axes weren't aligned with the flow during deployment, we don't know what direction these components are aligned to (i.e. the 'u' direction is not necessarily the streamwise direction)\n",
-    "  3. It is possible to rotate the tensor, but we'd need to know all 6 components to do so properly (\"coupled ADCPs\")\n",
-    "  4. Measurements close to the seafloor can be suspect due to increased vertical flow. ADCPs operate under the \"assumption of homogeneity\", which means that they can only accurate measure consistent horizontal currents with relatively little vertical motion.\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "As an example, we'll calculate the Reynolds stresses from the `stress_tensor_5beam` function, which calculates the individual Reynolds stress tensor components and takes the same inputs: the raw dataset in \"beam\" coordinates, the instrument Doppler noise, the ADCP's orientation and its beam angle. It outputs both the normal stress (\"tke_vec\") and the shear stress (\"stress_vec\") vector. Note, this function will drop at least one warning every time it's run, primarily the coordinate system warning. This function also requires the input raw data to be in beam coordinates, so we'll create a copy of the raw data and rotate it to 'beam'. If you do not, this function will do so automatically."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "metadata": {},
-   "outputs": [
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "c:\\Users\\ashly\\anaconda3\\envs\\Updated_MHKiT\\Lib\\site-packages\\mhkit\\dolfyn\\adp\\turbulence.py:407: UserWarning:     The beam-variance algorithms assume the instrument's (XYZ) coordinate system is aligned with the principal flow directions.\n",
-      "  warnings.warn(\n"
-     ]
-    }
-   ],
-   "source": [
-    "dolfyn.rotate2(ds, \"beam\", inplace=True)\n",
-    "ds_avg[\"tke_vec\"], ds_avg[\"stress_vec\"] = avg_tool.stress_tensor_5beam(\n",
-    "    ds, noise=ds_avg[\"noise\"], orientation=\"up\", beam_angle=25\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "There is one other important thing to note on Reynolds stress measurements by ADCPs: the minimum turbulence length scale that the ADCP is capable of measuring increases with range from the instrument. This means the instrument is only capable of measuring the stress transported by larger and larger turbulent structures as the beams travel farther and farther from the instrument head. One of the benefits of calculating w'w' from the vertical beam is that it isn't limited by this beam spread issue, though on its own it may not be particularly useful."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 7.7 TKE Production\n",
-    "\n",
-    "Though it can't be found from this deployment, we'll go over how to estimate the TKE shear production rate. Note that we're assuming here that the buoyancy production is negligible and we're in a well-mixed tidal channel. There isn't a specific function in MHKiT-DOLfYN for production, but all the necessary variables are. \n",
-    "\n",
-    "It is possible to estimate production rates from either an ADV or an ADCP aligned with the flow direction (so \"X\" would align with the principal flow direction). The following estimation for shear production rates takes into account both along- and cross-stream shear:\n",
-    "\n",
-    "$P = -\\overline{u'w'}\\frac{du}{dz} - \\overline{v'w'}\\frac{dv}{dz}$\n",
-    "\n",
-    "Note that the signs can get tricky but are important here. We found the Reynolds shear stresses -$\\overline{u'w'}$ and -$\\overline{v'w'}$ above using the Reynolds stress equations. If ADV data is available, those estimations are preferred because the ADV's point measurement does not have the assumptions that ADCP measurements have.\n",
-    "\n",
-    "The velocity shear components can be found from the aptly named functions `dudz` and `dvdz` in ADPBinner. These functions, which are useful alone in their own right, approximate the shear in the velocity vector between respective depth bins. There is always correlation between velocity measurements in adjacent depth bins, based on ADCP operation principles, which is why \"approximate\" is also used here for velocity shear.\n",
-    "\n",
-    "The velocity shear functions operate on the raw velocity vector in the principal reference frame and need to be ensemble-averaged here. This can be done by nesting the `d*dz` function within the ADPBinner's `mean` function. With the ensemble shear known, we can put all the components together to get a production estimation. If using ADV data, take the mean again of the \"range\" dimension."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "execution_count": 20,
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
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",
+            "text/plain": [
+              "<Figure size 800x800 with 4 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "vel = ds_avg[\"vel\"]\n",
+        "\n",
+        "vel_dim = [d for d in vel.dims if d in (\"dir\", \"earth\", \"inst\", \"beam\")][0]\n",
+        "labels = vel.coords[vel_dim].values\n",
+        "\n",
+        "fig, axes = plt.subplots(len(labels), 1, figsize=(8, 2 * len(labels)), sharex=True)\n",
+        "\n",
+        "if len(labels) == 1:\n",
+        "    axes = [axes]\n",
+        "\n",
+        "for ax_i, label in zip(axes, labels):\n",
+        "    values = vel.sel({vel_dim: label}).values.ravel()\n",
+        "    values = values[np.isfinite(values)]\n",
+        "\n",
+        "    ax_i.hist(values, bins=50, color=\"steelblue\", edgecolor=\"black\", alpha=0.8)\n",
+        "    ax_i.set_title(f\"Velocity histogram: {label}\")\n",
+        "    ax_i.set_ylabel(\"Count\")\n",
+        "\n",
+        "axes[-1].set_xlabel(\"Velocity [m/s]\")\n",
+        "plt.tight_layout()"
+      ]
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "c:\\Users\\ashly\\anaconda3\\envs\\Updated_MHKiT\\Lib\\site-packages\\mhkit\\dolfyn\\rotate\\api.py:72: UserWarning: You are attempting to rotate into the 'principal' coordinate system, but the dataset is in the inst coordinate system. Be sure that 'principal_heading' is defined based on the earth coordinate system.\n",
-      "  warnings.warn(\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Vertical shear gradients\n",
-    "upwp_ = ds_avg[\"stress_vec\"][1]\n",
-    "vpwp_ = ds_avg[\"stress_vec\"][2]\n",
-    "\n",
-    "# Find shear velocity and and ensemble-average it\n",
-    "ds.velds.rotate2(\"principal\", inplace=True)\n",
-    "dudz_raw = avg_tool.dudz(ds[\"vel\"], orientation=\"up\")\n",
-    "dudz = avg_tool.mean(dudz_raw.values)\n",
-    "\n",
-    "dvdz_raw = avg_tool.dvdz(ds[\"vel\"], orientation=\"up\")\n",
-    "dvdz = avg_tool.mean(dvdz_raw.values)\n",
-    "\n",
-    "# Calculate Production\n",
-    "P = -upwp_ * dudz - vpwp_ * dvdz\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 7.8 TKE Balance \n",
-    "We can plot the production rates and the ratio of production rates to dissipation rates to get an understanding of the TKE balance.We always expect production to be greater than 0, though negative values can give us an indication of uncertainty. In a well mixed coastal environment, we expect production and dissipation to be approximately equal. Our production estimates are possibly high because our stress components aren't aligned with the flow (1.3x10^-3 $m^2/s^3$ is quite large), but if this weren't the case, we would conclude that TKE is produced (kinetic energy is lost to turbulence) but not dissipated (turbulent energy is lost to entropy) here."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "execution_count": 21,
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "image/png": 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Bvu5c+37BsbmjPr3ecccdteOOO0bv99lnHy1dulS/+MUvEhXS3RXZDQBZZDfZnQRkNwBkkd3Jyu4uf3E8/OpAnz59CGkACHT0111r5KjGlPB1MZt56sxj8xe/+EXdddddnTIttA/ZDQCFyG5UM7IbAAqR3cnQ5S+OAwDKzzVGbgnB78pEQd1ZXn75ZQ0ePLhzJwoAQJUiuwEASBayuzy4OA4AaDfHSG4JH4o7UkkhvXbtWr3zzjvR+8WLF2vhwoXq37+/hg0bpvPPP1/vv/++7rzzTknSrFmzNGLECI0aNUoNDQ266667dN999+m+++5r/UQBAOjCyG4AAJKF7C4PLo4DANqtTZ9gl2D+/Pk5v3g9bdo0SdKJJ56o2bNna9myZVqyZEnUv6GhQdOnT9f777+vHj16aNSoUfrLX/6iQw45pKTpAgDQVZHdAAAkC9ldHsZa28n/YN+51qxZo759+2r16tXc+wxAt9fRx8RwfGemhqu2hHuf1Vtf1zS9x7EZRZHdAJBFdiMJyG4AyCK7k4X/HAcAtFu5P8EGAAAdi+wGACBZyO7y4OI4AKDd3BLvfeaWrxQAANAKZDcAAMlCdpcHF8cBAO3GJ9gAACQL2Q0AQLKQ3eXBxXEAQLsZBb+EXUJ7AABQOWQ3AADJQnaXBxfHAQDtxifYAAAkC9kNAECykN3lwcVxAEC7ce8zAACShewGACBZyO7yKOW/8QEAAAAAAAAA6BL4z3EAQLtlPsEu5etdAACgkshuAACShewuj4r+5/hTTz2lww47TEOGDJExRg888ECzbU899VQZYzRr1qxOqw8A0Drh17tKeSCZyG4A6BrI7u6D7AaAroHsLo+KXhxft26ddt99d1133XUttnvggQf0j3/8Q0OGDOmkygAApQh/GKSUB5KJ7AaAroHs7j7IbgDoGsju8qjobVUmT56syZMnt9jm/fff19SpU/XII4/o0EMP7aTKAAClcEr8VJofvEgushsAugayu/sguwGgayC7y6Oq7znu+75OOOEE/ehHP9KoUaNaNUx9fb3q6+uj92vWrClXeQCAQKmfSrviE+yuiuwGgGQguxEiuwEgGcju8qjqDxGuvPJKpVIpnXHGGa0eZubMmerbt2/0GDp0aBkrBABI3PsMWWQ3ACQD2Y0Q2Q0AyUB2l0fVXhx/6aWXdM0112j27NkyJXwqcv7552v16tXRY+nSpWWsEgAgEdLIILsBIDnIbkhkNwAkCdldHlV7cfzpp5/WihUrNGzYMKVSKaVSKb333nv67//+b40YMaLZ4Wpra9WnT5+cBwCgvPhhEEhkNwAkCdkNiewGgCQhu8ujau85fsIJJ+jLX/5yTreDDjpIJ5xwgk4++eQKVQUAKMZVaZ9Ku7ZspaCCyG4ASA6yGxLZDQBJQnaXR0Uvjq9du1bvvPNO9H7x4sVauHCh+vfvr2HDhmmLLbbIaZ9Op7XVVltpxx137OxSAQAtcEr8VNrhE+zEIrsBoGsgu7sPshsAugayuzwqenF8/vz5mjhxYvR+2rRpkqQTTzxRs2fPrlBVAACgOWQ3AADJQnYDANC8il4cnzBhgqxt/f/4v/vuu+UrBgDQZqX+2Ac/DJJcZDcAdA1kd/dBdgNA10B2l0fV3nMcAJAcpf7YBz8MAgBAZZHdAAAkC9ldHlwcBwC0G59gAwCQLGQ3AADJQnaXBxfHAQDtxifYAAAkC9kNAECykN3lwcVxAEC7OcaU9EvY/Go2AACVRXYDAJAsZHd5cHEcANBuxjUyTuuD1xDSAABUFNkNAECykN3lwcVxAEC7Oa6RU0JI8wk2AACVRXYDAJAsZHd5cHEcANB+riPjOK1vb2z5agEAAJtGdgMAkCxkd1lwcRwA0G7GMTIl/BS2EZ9gAwBQSWQ3AADJQnaXBxfHAQDt5rhGTgkh7RDSAABUFNkNAECykN3lUcL/4gMAAAAAAAAA0DXwn+MAgHYzTmn3PjOWe58BAFBJZDcAAMlCdpcHF8cBAO3G17sAAEgWshsAgGQhu8uDi+MAgHYzLj8MAgBAkpDdAAAkC9ldHlwcBwC0WyakS/h6l/wyVgMAADaF7AYAIFnI7vLg4jgAoN34ehcAAMlCdgMAkCxkd3lwcRwA0G7GGBmnhK93+YQ0AACVRHYDAJAsZHd5cHEcANBujuvIKeHrXY5tfVsAANDxyG4AAJKF7C4PlhIAoN3CHwYp5VGKp556SocddpiGDBkiY4weeOCBTQ7z5JNPasyYMaqrq9M222yjm266qY1zBwBA10N2AwCQLGR3eXBxHADQbuUO6XXr1mn33XfXdddd16r2ixcv1iGHHKL99ttPL7/8si644AKdccYZuu+++9oyewAAdDlkNwAAyUJ2lwe3VQEAVL3Jkydr8uTJrW5/0003adiwYZo1a5Yk6XOf+5zmz5+vX/ziFzryyCPLVCUAAAiR3QAAJEt3zW4ujgMA2q2t9z5bs2ZNTvfa2lrV1ta2u57nnntOkyZNyul20EEH6bbbblNjY6PS6XS7pwEAQJKR3QAAJAvZXR7cVgUA0H6lfrUr+HrX0KFD1bdv3+gxc+bMDiln+fLlGjRoUE63QYMGqampSR999FGHTAMAgEQjuwEASBayuyz4z3EAQLs5xshxWn8/M8dk2i5dulR9+vSJunfEp9chY3LrsdYW7Q4AQHdEdgMAkCxkd3lwcRwA0G7GdWRK+HqX8TNt+/TpkxPSHWWrrbbS8uXLc7qtWLFCqVRKW2yxRYdPDwCApCG7AQBIFrK7PLg4DgBoN8c1ckr4JWzHL++nyPvss48eeuihnG6PPvqo9txzz8Tc9wwAgHIiuwEASBayuzy45zgAoN1Kue9ZdP+zEqxdu1YLFy7UwoULJUmLFy/WwoULtWTJEknS+eefrylTpkTtTzvtNL333nuaNm2a3njjDf3617/WbbfdpunTp3fYPAMAkGRkNwAAyUJ2lwf/OQ4AaLe2fr2rtebPn6+JEydG76dNmyZJOvHEEzV79mwtW7YsCmxJGjlypP7617/q7LPP1vXXX68hQ4boV7/6lY488siSpgsAQFdFdgMAkCxkd3lwcRwA0G6OqxK/3lXa+CdMmBD9sEcxs2fPLug2fvx4LViwoLQJAQDQTZDdAAAkC9ldHlwcBwC0m3GMTAm/ml1KWwAA0PHIbgAAkoXsLo+K3nP8qaee0mGHHaYhQ4bIGKMHHngg6tfY2Khzzz1Xu+66qzbbbDMNGTJEU6ZM0QcffFC5ggEARTmOI8ct4eHwkxdJRXYDQNdAdncfZDcAdA1kd3lUdCmtW7dOu+++u6677rqCfuvXr9eCBQv04x//WAsWLNAf//hHvfXWW/rqV79agUoBAIBEdgMAkDRkNwAAzavobVUmT56syZMnF+3Xt29fPfbYYzndrr32Wu21115asmSJhg0b1hklAgBaodRfwi71V7NRPchuAOgayO7ug+wGgK6B7C6PRN1zfPXq1TLGqF+/fpUuBQAQU/KvZpfQFslGdgNAdSK70RyyGwCqE9ldHom5OL5x40add955OvbYY9WnT59m29XX16u+vj56v2bNms4oDwC6NeM4MiXcz6yUtkgushsAqhfZjWLIbgCoXmR3eSRiKTU2Nuqb3/ymfN/XDTfc0GLbmTNnqm/fvtFj6NChnVQlAHRfJf0oSPBA10Z2A0B1I7uRj+wGgOpGdpdH1S+lxsZGfeMb39DixYv12GOPtfjptSSdf/75Wr16dfRYunRpJ1UKAN1Y8PWu1j5ESHdpZDcAJADZjRiyGwASgOwui6q+rUoY0G+//bbmzJmjLbbYYpPD1NbWqra2thOqAwCEjFPivc/4eleXRXYDQDKQ3QiR3QCQDGR3eVT04vjatWv1zjvvRO8XL16shQsXqn///hoyZIiOOuooLViwQH/+85/leZ6WL18uSerfv79qamoqVTYAIA/3Pus+yG4A6BrI7u6D7AaAroHsLo+KXhyfP3++Jk6cGL2fNm2aJOnEE0/UjBkz9OCDD0qS9thjj5zh5syZowkTJnRWmQCATch8bcstob1XxmpQTmQ3AHQNZHf3QXYDQNdAdpdHRS+OT5gwQdbaZvu31A8AUD2ie5qV0B7JRHYDQNdAdncfZDcAdA1kd3lU9T3HAQDJ4DiOnBK+slVK22q1Zs2akofZ1I9bAQDQWcju1iG7AQDVguxunVKzm4vjAAC0Qb9+/WSMaXV7Y4zeeustbbPNNmWsCgAANIfsBgAgWToju7k4DgBot+769a4//OEP6t+//ybbWWt1yCGHdEJFAAC0DtndMrIbAFBtyO6WtTW7uTgOAGi37hjSw4cP17hx47TFFlu0qv0222yjdDpd5qoAAGgdsnvTyG4AQDUhuzetLdnNxXEAQLsZ48iUcD8zY5If0osXLy6p/euvv16mSgAAKB3ZvWlkNwCgmpDdm9aW7ObiOACg3brjJ9gAACQZ2Q0AQLKQ3eXBUgIAtFsY0qU8uoMPP/xQl156aaXLAACgANldHNkNAKhWZHdx7c3u7rGUAABl5bhOyY/uYPny5brkkksqXQYAAAXI7uLIbgBAtSK7i2tvdnNbFQBAuxnHlHbvM8eUsZrO8+qrr7bYf9GiRZ1UCQAApSG7iyO7AQDViuwurr3ZzcVxAEC7ddd7n+2xxx4yxshaW9Av7G5M1zghAQB0LWQ32Q0ASBayuzzZzcVxAEC7ddeQ3mKLLXTllVfqgAMOKNr/n//8pw477LBOrgoAgE0ju8luAECykN3lyW4ujgMA2s0Yp7Svd5muEdJjxozRBx98oOHDhxftv2rVqqKfbgMAUGlkN9kNAEgWsrs82c3FcQAA2ujUU0/VunXrmu0/bNgw3X777Z1YEQAAaAnZDQBAspQ7u7k4DgBoN+O6cly3pPZdweGHH95i/80331wnnnhiJ1UDAEDrkd3Fkd0AgGpFdhfX3uzuGv9fDwCoqPDeZ6U8uqpnnnlG9fX1lS4DAIAWkd1ZZDcAIAnI7qyOzO6uu5QAAJ2GkM6aPHmy3n///UqXAQBAi8juLLIbAJAEZHdWR2Y3t1UBALSbcUr8YZAS2iYNP+IFAEgCsjuL7AYAJAHZndWR2c3FcQBAu5X6qXRX/gQbAIAkILsBAEgWsrs8uDgOAGg345jSQtoxZaymsm6++WYNGjSo0mUAANAisjuL7AYAJAHZndWR2c1HCACAdgu/3lXKo6s69thj5XmeHnjgAb3xxhuVLgcAgKLI7iyyGwCQBGR3Vkdmd9ddSgCATmMct+RHV/KNb3xD1113nSRpw4YN2nPPPfWNb3xDu+22m+67774KVwcAQCGym+wGACQL2V2e7ObiOACg/Ry39EcX8tRTT2m//faTJN1///2y1mrVqlX61a9+pcsuu6zC1QEAUATZTXYDAJKF7C5LdnNxHADQfo5T+qMLWb16tfr37y9Jevjhh3XkkUeqZ8+eOvTQQ/X2229XuDoAAIogu8luAECykN1lye6utZQAAKiAoUOH6rnnntO6dev08MMPa9KkSZKkTz/9VHV1dRWuDgAA5CO7AQBIlnJlNxfHAQDtZly35Edb3HDDDRo5cqTq6uo0ZswYPf300822nTt3rowxBY8333yzrbPZrLPOOkvHHXec/uu//ktDhgzRhAkTJGW+9rXrrrt2+PQAAGgvspvsBgAkC9ldnuxOdVB9AIDurNT7mbXh3mf33HOPzjrrLN1www3ad999dfPNN2vy5Mn617/+pWHDhjU73KJFi9SnT5/o/ZZbblnytDfl9NNP1957760lS5bowAMPlBN8fW2bbbbhvqUAgOpEdpPdAIBkIbvLkt1cHAcAtJ/jlBjSpX9x6eqrr9a3v/1tfec735EkzZo1S4888ohuvPFGzZw5s9nhBg4cqH79+pU8vVKNGTNGY8aMyel26KGHln26AAC0CdlNdgMAkoXsLkt2c1sVAEC7Gccp+SFJa9asyXnU19cXHX9DQ4Neeuml6J5ioUmTJunZZ59tsbbRo0dr8ODBOuCAAzRnzpyOmWEAABKO7AYAIFnI7vLg4jgAoP2Mm/2KV2seJvNp99ChQ9W3b9/o0dwn0R999JE8z9OgQYNyug8aNEjLly8vOszgwYN1yy236L777tMf//hH7bjjjjrggAP01FNPdey8AwCQRGQ3AADJQnaXBbdVAQC0XxvvfbZ06dKc+5LV1ta2OJgxJue9tbagW2jHHXfUjjvuGL3fZ599tHTpUv3iF7/QuHHjWl8rAABdEdkNAECykN1lUdH/HH/qqad02GGHaciQITLG6IEHHsjpb63VjBkzNGTIEPXo0UMTJkzQP//5z8oUCwBoVlu/3tWnT5+cR3MhPWDAALmuW/Bp9YoVKwo+1W7JF7/4Rb399tttn1GQ3QDQRZDd3QfZDQBdA9ldHhX9z/F169Zp991318knn6wjjzyyoP9VV12lq6++WrNnz9YOO+ygyy67TAceeKAWLVqk3r17V6BiAEBRZf7V7JqaGo0ZM0aPPfaYDj/88Kj7Y489pq997WutHs/LL7+swYMHlzTt1tq4caNeffVVrVixQr7v5/T76le/WpZpVgLZDQBdBNlNdgfIbgBICLK7LNld0YvjkydP1uTJk4v2s9Zq1qxZuvDCC3XEEUdIku644w4NGjRId999t0499dTOLBUA0JJO+NXsadOm6YQTTtCee+6pffbZR7fccouWLFmi0047TZJ0/vnn6/3339edd94pKfOr2iNGjNCoUaPU0NCgu+66S/fdd5/uu+++kqe9KQ8//LCmTJmijz76qKCfMUae53X4NCuF7AaALoLsJrtFdgNAopDdZcnuqr3n+OLFi7V8+fKcX0itra3V+PHj9eyzzzYb0vX19Tm/urpmzZqy1woAKL9jjjlGH3/8sS699FItW7ZMu+yyi/76179q+PDhkqRly5ZpyZIlUfuGhgZNnz5d77//vnr06KFRo0bpL3/5iw455JAOr23q1Kk6+uij9ZOf/KSkr5t1NWQ3ACCO7K5+ZDcAIK47ZnfVXhwP729T7BdS33vvvWaHmzlzpi655JKy1gYAyGVcV8Zt/SfYpbSNO/3003X66acX7Td79uyc9+ecc47OOeecNk2nVCtWrNC0adO69R/XEtkNAElCdpPdEtkNAElCdpcnuyv6g5ytUcovpEqZf+9fvXp19Fi6dGm5SwQAOE7pjy7kqKOO0ty5cytdRtUguwEgAchusjuG7AaABCC7y5LdVfuf41tttZWkzCfZ8Zu4b+oXUmtra5v91VUAQJmU+YdBqt11112no48+Wk8//bR23XVXpdPpnP5nnHFGhSrrXGQ3ACQI2U12i+wGgEQhu8uS3VV7cXzkyJHaaqut9Nhjj2n06NGSMvexefLJJ3XllVdWuDoAQJxxXJkSgreUtklw991365FHHlGPHj00d+7cnP+0MsZ0mz+wyW4ASA6ym+yWyG4ASBKyuzzZXdGL42vXrtU777wTvV+8eLEWLlyo/v37a9iwYTrrrLN0xRVXaPvtt9f222+vK664Qj179tSxxx5bwaoBAAVMiV/ZMl3r610XXXSRLr30Up133nlyuthX1/KR3QDQRZDdZDfZDQDJQnaXJbsrenF8/vz5mjhxYvR+2rRpkqQTTzxRs2fP1jnnnKMNGzbo9NNP16effqq9995bjz76qHr37l2pkgEARXT3T7AbGhp0zDHHdPk/riWyGwC6CrKb7Ca7ASBZyO7yZLex1toOHWOVWbNmjfr27avVq1erT58+lS4HACqqo4+J4fg+fuoP6tNrs9YPt3adthh3VJc5Np999tnacsstdcEFF1S6lC6B7AaALLK7PMjujkV2A0AW2V0e5cruqr3nOAAgQUr9Jewu9l9anufpqquu0iOPPKLddtut4IdBrr766gpVBgBAM8hushsAkCxkd1mym4vjAIB2M64r45bw9a4S2ibBa6+9Fv2I1euvv57TL/4jIQAAVAuym+wGACQL2V2e7ObiOACg/Rw38yilfRcyZ86cSpcAAEBpyO5KlwAAQGnI7rKMt2v9fz0AAAAAAAAAAK3AxXEAQPuFn2CX8ki4I444QmvWrGl1++OOO04rVqwoY0UAAJSA7N4kshsAUFXI7k1qS3ZzWxUAQLsZx5Ep4cc+Smlbrf70pz9p5cqVrWprrdVDDz2kn/70pxo4cGCZKwMAYNPI7paR3QCAakN2t6yt2c3FcQBA+5kSP5U2yf8E21qrHXbYodJlAADQNmQ3AADJQnaXBRfHAQDtZ4xkSvhUuh2/JF0t2vJjIFtvvXUZKgEAoA3I7lYhuwEAVYPsbpVSs5uL4wCA9jNOiSGd/K93jR8/vtIlAADQdmQ3AADJQnaXBRfHAQDtZo0jW0LwltIWAAB0PLIbAIBkIbvLg4vjAID264afYAMAkGhkNwAAyUJ2lwUXxwEA7WdMafcz6wL3PgMAINHIbgAAkoXsLgsujgMA2s9xMo9S2gMAgMohuwEASBayuyxYSgCAdgvvfVbKoyuZMWOG3nvvvUqXAQBAq5HdZDcAIFnI7vJkd7f5z/GmVx5TU886SZJtapRtasj08P1MN88L3nuZhyQb9IuE3ZsaZYJPX+oO+X6ZKweAjKf//bEkybdWTvD1qLSbee6ZdiVJKSfzvsY1sjYznK/Mi7Rj9Nlnn3Vmyd3GQw89pMsuu0zjx4/Xt7/9bR1xxBGqq6urdFmJV//ZKtWbWBbnfy0wyGUZR3Iy+4Bs0D7cAWx2eBO8ruk7oBzlAkCBxg8XR69tujbzIvhD1bo1mffh8Sv2B2z4x6xvXK3fsLH8hXZDZHd5bNywQTXptCTJxnLbhLkcE/YP+9m8nI8PU9ejR4fXCgDFbNiYyd34MSj/+BRX7Pi2ccOGji8MZcvurvURAgCgMsIfBinl0YW89NJLWrBggXbbbTedffbZGjx4sL7//e/rxRdfrHRpAAAUR3aT3QCAZCG7y5LdXWspAQAqo5uHtCTttttu+uUvf6n3339fv/71r/X+++9r33331a677qprrrlGq1evrnSJAABkkd1kNwAgWcjusmR311tKAIDOR0hHfN9XQ0OD6uvrZa1V//79deONN2ro0KG65557Kl0eAAAZZHeE7AYAJALZHenI7G7zUnr66ad1/PHHa5999tH7778vSfrNb36jefPmtXWUAICEssaU+MMgzd+zLaleeuklTZ06VYMHD9bZZ5+t0aNH64033tCTTz6pN998UxdffLHOOOOMitZIdgMAQmQ32Q0ASBayuzzZ3aaL4/fdd58OOugg9ejRQy+//LLq6+slSZ999pmuuOKKtowSAJBk3fwT7N12201f/OIXtXjxYt12221aunSpfvazn2m77baL2kyZMkUrV66sWI1kNwAgB9lNdgMAkoXsLkt2t2kpXXbZZbrpppt06623Kh38ErUkjR07VgsWLGjLKAEASWZM6Y8u5Oijj9a7776rv/zlL/r6178u13UL2my55Zbyfb8C1WWQ3QCAHGQ32Q0ASBayuyzZ3aaL44sWLdK4ceMKuvfp00erVq1qyygBAEnWzT/BttZq8803L+i+YcMGXXrppRWoqBDZDQDIQXaT3QCAZCG7y5LdbVpKgwcP1jvvvFPQfd68edpmm23aXAwAIJlKu+9Z5tGVXHLJJVq7dm1B9/Xr1+uSSy6pQEWFyG4AQBzZTXYDAJKF7C5PdrdpKZ166qk688wz9Y9//EPGGH3wwQf67W9/q+nTp+v0009vczEAgIQyjuSU8OhiIW2tlSnylbVXXnlF/fv3r0BFhchuAEAOspvsBgAkC9ldluxOtWWgc845R6tXr9bEiRO1ceNGjRs3TrW1tZo+fbqmTp3a5mLKynFyXzvBfWnaeA85Gwy34YFfZt57XjQ+v2GjJMnb2JDp1NAkSWpct0GS1LSxQdbzc9o0bayP3jeuy7z2gzapHpn7y9Vt0Vde0C4cZzRLNZlVue01v2/T/ADd1Y4/fECSlK7N7EPGyRxoU2lHTvA67JdKZ44bXrBvOo5RKp05tjiuE3WTpH69alSbynTr27MmZ5r9gn26V11KNUGbzYNuPYNp1KYc1abcoFumTdppPth8ayVJ1hYGRdCrvEr9ylYXCenNN99cxhgZY7TDDjvkBLXneVq7dq1OO+20ClaYlcjstn7u63BbDrYfE/a3ftQrHMbYvHyPvW/4dHnueBo3Fp+mJFvTM/OcqpV1guOEn5vBpnFD7PXGnHHL92SaMt2cjZ9lOq1dlWkS3CPP3eUAAWi9pg8WSZKsm8lX4zVk34f7sBvcn9kPztHD7vH8yf/jKvYfVtExJBw++tvByw4Xjis6Ftlsu1D43vrZvzvcvAyMgjp7/IkqM4X30uwwZDfZXSVsK+6Ju3H9uoJu+Vkf/YdkbFvNH7fnZ0+Moz0v71zZNZIbnNObvBPpcHw96uo2WTOArI0bNhTtbo0p2M86WrFjTEvTjLduzfEpbFPu+chMhOwuR3a36eK4JF1++eW68MIL9a9//Uu+72vnnXdWr1692lwIAABJM2vWLFlrdcopp+iSSy5R3759o341NTUaMWKE9tlnnwpWmIvsBgB0d2Q3AADJUu7sbvPFcUnq2bOn9txzz/aMAgDQFXTTT7BPPPFESdLIkSM1duxYpdPpCle0aWQ3AEAS2U12AwCShuwuS3a36eL44YcfXvQeL8YY1dXVabvtttOxxx6rHXfcsd0FAgASoBuG9Jo1a9SnTx9J0ujRo7VhwwZtaObrgmG7SiK7AQA5yG6yGwCQLGR3WbK7TUupb9++euKJJ7RgwYIorF9++WU98cQTampq0j333KPdd99dzzzzTJuKAgAkizWmxF/N3vS926rd5ptvrhUrVkiS+vXrp80337zgEXavBmQ3ACCO7Ca7AQDJQnaXJ7vb9J/jW221lY499lhdd911coIfiPN9X2eeeaZ69+6t3//+9zrttNN07rnnat68eW0urqmpSTNmzNBvf/tbLV++XIMHD9ZJJ52kiy66KJouAKAKdMNPsJ944onoF7GfeOKJov/ZVU3IbgBADrKb7A6Q3QCQEGR3WbK7TRfHb7vtNj3zzDM5Qek4jn74wx9q7NixuuKKKzR16lTtt99+7Sruyiuv1E033aQ77rhDo0aN0vz583XyySerb9++OvPMM9s1bgBABzIm8yilfRvccMMN+vnPf65ly5Zp1KhRmjVrVotZ8+STT2ratGn65z//qSFDhuicc85p169Yx40fPz56PWHChA4ZZzmR3QCAHGR3h4yznMhuAEAOsrtDxpmvTR8hNDU16c033yzo/uabb8rzPElSXV1du6/mP/fcc/ra176mQw89VCNGjNBRRx2lSZMmaf78+e0aLwCgg4WfYJfyKNE999yjs846SxdeeKFefvll7bfffpo8ebKWLFlStP3ixYt1yCGHaL/99tPLL7+sCy64QGeccYbuu+++9s5tgdtvv13/+7//W9D9f//3f3XHHXd0+PTaguwGAOQgu8nuANkNAAlBdpclu9t0cfyEE07Qt7/9bf3yl7/UvHnz9Mwzz+iXv/ylvv3tb2vKlCmSMp8ajBo1qs2FSdKXvvQlPf7443rrrbckSa+88ormzZunQw45pNlh6uvrtWbNmpwHAKC8SrvvWeZRqquvvlrf/va39Z3vfEef+9znNGvWLA0dOlQ33nhj0fY33XSThg0bplmzZulzn/ucvvOd7+iUU07RL37xi/bOboGf/exnGjBgQEH3gQMH6oorrujw6bUF2Q0AiCO7ye4Q2Q0AyUB2lye723RblV/+8pcaNGiQrrrqKn344YeSpEGDBunss8/WueeeK0maNGmSDj744DYXJknnnnuuVq9erZ122kmu68rzPF1++eX61re+1ewwM2fO1CWXXNKu6QIAStTGe5/l/yFVW1ur2traguYNDQ166aWXdN555+V0nzRpkp599tmik3juuec0adKknG4HHXSQbrvtNjU2NiqdTre+3k147733NHLkyILuw4cPb/YT9s5GdgMAcpDdZHeA7AaAhCC7y5Ldbbo47rquLrzwQl144YXRAu7Tp09Om2HDhrW5qNA999yju+66S3fffbdGjRqlhQsX6qyzztKQIUN04oknFh3m/PPP17Rp06L3a9as0dChQ3Mb+X676jKOI9vCOEwzP1piXCfnudnh3czX4pzgH/vD8VnPl9/QJEnyGptyhqlfs0GS9Nq3DpHXkPmKndfgB229YHgb9QunYT2b8+x7vrxGP5pefDyS5NZkapn48j9anAegvbb+1i2SJLe2h5o2rM28rukhSTKuK0mynicnXSNJ8hsbJCl6b30vGsZNZbZb1w1/yCizvadqXBkn2BeCbtFzykjK62dz28gx0bicTEnRey9sUyInqMdp4euxjjHaxGFE1kq+gv06KMW32dcdLfOr2a3/Sm/YNv/4fPHFF2vGjBkF7T/66CN5nqdBgwbldB80aJCWL19edBrLly8v2r6pqUkfffSRBg8e3Op6N2XgwIF69dVXNWLEiJzur7zyirbYYosOm057JDG7jbWSzWSQsbHcDV/Huhm/qaBbgSLDRe+D/bugXzheP6VoC89v68UyOeyn2HiCk1LrZE67THCcCnn/misbHMPC41skVSMFx7PoOZyU5xUME3bL1u/L9NhMkuTu1L570gKb0rTs7YJu1g3+IAq2X2P96L+Ywv022jfC9252H4n27XB8xskeD4o8h/1seOzIH17K/lEZ7q9hflk/tp8XOU5Ez2EIFznehO3C/T6c1yLHpqjWqENs/w/rL/HWoqUgu8nuUNn+7i5R/i6Z6Zi77xQ9Hwj7hZ2jDs2fMFtlz4vDc/zoFN812VryhjNBjw0bN0avyyE8GvXsUVe2aQCStHHDhk22iWdFuN2H3YrtBy31a2n8zbW3xrRqXKVON4nI7vJkd5sujsflh3NH+tGPfqTzzjtP3/zmNyVJu+66q9577z3NnDmz2ZBu7tMPAED5WBu7JtjK9pK0dOnSnBzZ1PE7/56a1toW77NZrH2x7u31zW9+U2eccYZ69+6tcePGScp8zfnMM8+MMqyakN0AALKb7A6R3QCQDGR3ebK7TRfHP/zwQ02fPl2PP/64VqxYEc10yMv/r6U2Wr9+fc4vc0uZT8/9dv7nNwCgOvTp06dVf+wNGDBArusWfFq9YsWKgk+pQ1tttVXR9qlUqsP/I+yyyy7Te++9pwMOOECpVCZafd/XlClTqua+pWQ3AKAjkN2dh+wGAHQEsrtlbbo4ftJJJ2nJkiX68Y9/rMGDB3f4JwGhww47TJdffrmGDRumUaNG6eWXX9bVV1+tU045pSzTAwC0jW+t/BI+wi6lrSTV1NRozJgxeuyxx3T44YdH3R977DF97WtfKzrMPvvso4ceeiin26OPPqo999yzQ+97FtZ3zz336Kc//aleeeUV9ejRQ7vuuquGDx/eodNpD7IbABBHdpPdIbIbAJKB7C5Pdrfp4vi8efP09NNPa4899mjXxDfl2muv1Y9//GOdfvrpWrFihYYMGaJTTz1VP/nJT8o6XQBAaaxi93dsZftSTZs2TSeccIL23HNP7bPPPrrlllu0ZMkSnXbaaZIy9758//33deedd0qSTjvtNF133XWaNm2avvvd7+q5557Tbbfdpt/97ndtmHrr7LDDDtp+++0ldfxXyNqL7AYAxJHdGWQ32Q0ASUF2Z3R0drfp4vjQoUMLvtJVDr1799asWbM0a9assk8LANB2pf7YZ1t+GPSYY47Rxx9/rEsvvVTLli3TLrvsor/+9a/Rp8TLli3L+YXqkSNH6q9//avOPvtsXX/99RoyZIh+9atf6cgjjyx94q1w55136uc//7nefjvzg3Q77LCDfvSjH+mEE04oy/RKRXYDAOLIbrI7RHYDQDKQ3eXJ7jZdHJ81a5bOO+883XzzzQW/EAoA6H6stSX98dbWP/ROP/10nX766UX7zZ49u6Db+PHjtWDBgjZNqxRXX321fvzjH2vq1Knad999Za3VM888o9NOO00fffSRzj777LLXsClkNwAgjuwmuwEAyUJ2lye723Rx/JhjjtH69eu17bbbqmfPngX3kPnkk0/aVAwAIJk64xPsanbttdfqxhtv1JQpU6JuX/va1zRq1CjNmDGjKv7AJrsBAHFkN9kNAEgWsrs82d3m/xwHACCui+VuSZYtW6axY8cWdB87dqyWLVtWgYoKkd0AgHxkN9kNAEgWsrvjs7tNF8dPPPHENk8QAND1dPdPsLfbbjvde++9uuCCC3K633PPPdEPhVQa2Q0AiCO7yW4AQLKQ3eXJ7jZdHI/bsGGDGhsbc7r16dOnvaPtcMZ1i3a3npfT3/pedhjHCbr5mQ5OMA7fy/YLu3nZ4fKHLz5dv2h9xnVi3UzeMJ78YDi/wQtKybz3Gv1ovE0bmnK6hePxY9P0G/ycbjbYY3zPRuOOpuv7Ub+mjZlx/2XobpIkJxq3Daaf3fMag+HSseXg593vyAl+VXaj56vGybz28tocvvyfQuWM/39zo9d+bDsJNYXbYt5627guc1xo2NCopkYvaFufadvYELUL97nw2W/K9DPBvmVj+1bYz1FNNEx8n80Zn+fF2gTblvy8toVJYYLt0PqSb3L7+37h+3AfCO/lFf5SsudbeUH78Nl1TM77Tck7BCg8PHh+5iFlD0v5/E7+PLmz7n1WrS655BIdc8wxeuqpp7TvvvvKGKN58+bp8ccf17333lvp8gokJbslydhgY7d+Yc94t/z+xdoHuRSO05pgp4pnv9+UO7wXfIXdaSrYq8K20TDx4UywcxojhdMJdliTSue8L3it2DlEqlYKxm+bGnP7+YXzaMIzO7/wvMR78+mi07BNjdn2sXOdzPRrmu9XpJupqct03u6LBdNH52n8cHFm25Oi7S/a3t2UTJCnYTfTVJ87AuNkt+vw2cTOa8NtP38/c2uyr6N9IZhGbD/J368L9jvrZ9vE9y9JxjjZ4Zobj5TdTvNrjM1btExstp9sM8MpNv/5+3m2OOUrWEZFRMck6xQuN2tlypSZZDfZXRat2ObbomBfaud0fJvdpj1b2C//PLywnk3sD3n7cqmc4MC0ccOG5icRHHNKOUbY2HEqf7i6Hj1KKREdLL6ubV6eGGsL1nd+m031a7ZNbLytmUYp2rKNFhuuXDnY2jpyuuWV0s5FVDKyuzzZ3aYj9bp16zR16lQNHDhQvXr10uabb57zAAB0L34bHl3JkUceqX/84x8aMGCAHnjgAf3xj3/UgAED9MILL+jwww+vdHmSyG4AQC6ym+wGACQL2V2e7G7Tf46fc845mjNnjm644QZNmTJF119/vd5//33dfPPN+tnPftbmYgAASKoxY8borrvuqnQZzSK7AQDIRXYDAJAs5cjuNl0cf+ihh3TnnXdqwoQJOuWUU7Tffvtpu+220/Dhw/Xb3/5Wxx13XIcWCQCobtYWfsVsU+2Tbs2aNa1uWw1feya7AQBxZHfLyG4AQLUhu1vW1uxu08XxTz75RCNHjowm/Mknn0iSvvSlL+n73/9+mwoBACRXd/xhkH79+kX3mG+OtVbGGHlFfpeis5HdAIA4srs4shsAUK3I7uLam91tuji+zTbb6N1339Xw4cO18847695779Vee+2lhx56SP369WtTIQCA5OqOPwwyZ86cSpdQErIbABBHdlc/shsAEEd2l0ebLo6ffPLJeuWVVzR+/Hidf/75OvTQQ3XttdeqqalJV199dUfXCACocqX+2EdX+GGQ8ePHV7qEkpDdAIA4srv6kd0AgDiyuzycUgdobGzUgw8+qIMPPliSNHHiRL355pv63e9+pwULFujMM8/s8CIBANXNKnv/s1Y9Kl1wGTz99NM6/vjjNXbsWL3//vuSpN/85jeaN29ehSsjuwEAhchushsAkCxkd3myu+SL4+l0Wq+//nrO/V6GDRumI444QrvvvnubCwEAJJdvbcmPruS+++7TQQcdpB49emjBggWqr6+XJH322We64oorKlwd2Q0AKER2k90AgGQhu8uT3SVfHJekKVOm6LbbbmvzRAEAXYttw6Mrueyyy3TTTTfp1ltvVTqdjrqPHTtWCxYsqGBlWWQ3ACCO7Ca7AQDJQnaXJ7vbdM/xhoYG/c///I8ee+wx7bnnntpss81y+nP/MwDoXrrjr2bHLVq0SOPGjSvo3qdPH61atarzCyqC7AYAxJHdZDcAIFnI7vJkd5sujr/++uv6/Oc/L0l66623cvrFv/ZVdRw3ePYUVlnKdmKczD/a23A8kqTGTL90TaZfY4NMTn/J97xMPy97K3zj5v7Tvo21CfuF04vG09gkv7EpGGdmXF5j5rlpQ1M0vB9s/WEbecHwDdnpe41ezri9hux738sMb30/573f4GX7Bc9e2C/4qoZnrbz8heoX/gRAtk3mRUNsj/XyvvZx/1ajotfpYJkYN7MG3Ro3eu+mM6+doF+qR+7mnapLqWazdMFw4fua3nXBcJl16QSfQrnpzHhSm9UpvVnQpq5WklTTr1dmPDV1cnpvnum3xVaZbj0yJ6+mrpesE9TiZqbr9RksSdqQyrRZXe+pKVgGtcH6/+CzBklSo+/ro/WZ7ezTDZnnFWvrc+Zt9fpGrQrauE5mnlYHbTc0NKlvz5rodZwXTHN9gxe9Dp8bmvxgeTrRtuQE424Ktjvrb/prOn4rj8b5+03I+l7R7lH/cN/Jaxd/b5zixyXr22b7+b5VKp1ZF+E8poK2XpF5as2xz21FGydo4zZTVzSuNnzvxyvn16qCe5qV0r4rGTx4sN555x2NGDEip/u8efO0zTbbVKaoPInNbutnn41T2G1Tggwy1i9oH851Tr/85/BYYn0ZP/cYqvB9bOM3wXBWwTHNONkMSNUEw/XIaStJJp23Uwfzao0jEwyf38Y4fkH77Dym1VqmxpVtCs5nonOPYHg3XWQ5Fxm37+TU4b/1TOa942aXoePmtLFOKru8TN78p4Jp+L6sG8x/2NYNl2NsfYTLOLbcsjMY1mZy26RqCpdb7L2t2Synn2nKZK/Z+Fmmc00P2drekqQNNjNvdU6Qq57RZo5XfLh05hzC2fhZdl7C2oJlZawvm6rNra2Fg6x1M8vLeI2xjkH7cLbD5ec1Zafj5PbLDltkn4j1i9rnn+M5hcNE+02x/bWZaRTdJ/P7S7Lhuom/D2aq6DzljTv/yBdfws1umzkDhMvYZN83dzyNjyd/3optr/G2rTnWtQXZTXZXQrhvNXPuX6xt0W5FN97cfbvF/VfZi0at+nOl2P5arn7xc54WmDae1zc33MYNGzKTN6agjQ22N2Nt0czMnUAL81qkf864mxuu2DG0WIa3tLybGd7G9qWCGoq0bc1yt3n7Z3yY/H7ZRuXbp1uKpyRoabm3dp00P3I/Oh61ZTzxZRtft82u5/Yiu8uS3W26OD5nzpw2TxAA0PX4svJLSN5S2ibBqaeeqjPPPFO//vWvZYzRBx98oOeee07Tp0/XT37yk0qXJ4nsBgDkIrvJbgBAspDd5cnuNl0cBwAAWeecc45Wr16tiRMnauPGjRo3bpxqa2s1ffp0TZ06tdLlAQCAPGQ3AADJUq7sbtMPcgIAEGdt6Y+uYI899tB1112nTz/9VJdffrk++ugjvfDCC3r++ee1cuVK/fSnP610iQAAFEV2k90AgGQhu8uT3VwcBwC0W/jDIKU8uoK9995bF110kYYMGaJjjz1Wzz33nPbcc0/ttdde6tWrV6XLAwCgWWQ32Q0ASBayuzzZzcVxAEC7dddPsG+++WYtX75ct9xyi5YvX65JkyZpxIgRuvTSS7VkyZJKlwcAQLPIbrIbAJAsZHd5spuL4wCAdgt/GKSUR1dRV1enE044QU888YTeeecdnXDCCbrtttu0zTbb6KCDDtK9995b6RIBAChAdpPdAIBkIbvLk91cHAcAtFt3/QQ738iRI/XTn/5U7777rn7/+99r/vz5+ta3vlXpsgAAKEB2Z5DdAICkILszOjq7Ux1YGwCgm/KtlV9C8pbSNmnmzJmj22+/XX/84x+VSqX03e9+t9IlAQBQgOzOIrsBAElAdmd1ZHZzcRwA0G6en3mU0r4rWbJkiWbPnq3Zs2fr3Xff1X777acbbrhBRx99tHr06FHp8gAAKEB2k90AgGQhu8uT3d3n4rjjFu1sXLf5dr6XaeM4uf0cv3j7TbB++7ZK6/nyGjI1eY2ZcfnRey9oY+UHW7/1Cj8hCvv5QT+bt6d4DX5UZ7aNjfpF48n79Kkh+Alcz1qFk3VN2Dd6IS9vuLBtQws/oRv2c42RF9RbYzPjdKKJOPIULAPf5AxvgjbGMfJ7BJt8sNyMm72zkLexMRhn8bsNmY0NOe0lyd1YI0lKOa5sw0ZJkh88O8G2YVJpmWCyNtzebGY+nFip4SJoylsWjZ6VYzIN08EANalMHV6R5RZ2c4O2rmNir528tl7Upti4JMkW+aTRCcYXH8YGr03QzxYZnwmXSbAcrOdF3QraFNm3inUrqDfab7NtTbD8wu3fOKZguLBbsX7h8s9v68a2h3A5hd1yl3vu8MXWTdTPFE7TNfnDF5RYVGd+SNxdP8G+++67dfvtt2vOnDkaNGiQpkyZom9/+9vabrvtKl1a12D96HgZPcdftyJXTXz4/O0u3LVi4zZ+U26b4L31mqTwGGqc3OnbInUEbaybytbgBGGQSgeDhcPH6srb3+U4sp5XdN6i6RqneA2Kzb8kG0w/fx6tcWRM3rwFw4XDbGrc4bzZYPho0TopGaeZ9eS4sjacbu58R+NxsjVFSym/1tjrcLjo/MzagnM128Lwzb7fhDBnwvlwTCwfo3lxm68/b7otHiHDaVkbrSdTbD/JW5dR53i35nahYttTOC0vtv3k71P59UiyebUZ62eXSTPbrY3t+2Eb28z8NFt3/vLNORY0Mw7jFNSUP/14/YXT8kvedorWmDf95pZTe5HdZHe1Cbex+Llvs9t/0e7h8XXT04r/jVP4904LI2hF9rZKsfOaaPKlHUdssLxMK/bRVreJz+emhmvp+NzGZZSdp2L15eVCS3meX0eR/uGs5Z+Cbbo2W7R7uUSTyz9nKrH+ZsffzhGUc/6LbX+tmV68TUvLqTX7RbUgu8uT3d3n4jgAoGx8aws+/NpU+67gpJNO0qGHHqoHHnhAhxxyiBynHRdFAADoRGQ32Q0ASBayuzzZzcVxAEC7+ba04G3hyyKJ8p///EcDBw6sdBkAAJSM7AYAIFnI7vLgY3IAANqIP64BAEgWshsAgGQpd3ZX/cXx999/X8cff7y22GIL9ezZU3vssYdeeumlSpcFAIgJfxiklAe6LrIbAKof2Y04shsAqh/ZXR5VfVuVTz/9VPvuu68mTpyov/3tbxo4cKD+7//+T/369at0aQCAmO76wyAoRHYDQDKQ3QiR3QCQDGR3eVT1xfErr7xSQ4cO1e233x51GzFiROUKAgAU5ZX4wyCltK12nudp3rx52m233bT55ptXupyKI7sBIBnIbrI7RHYDQDKQ3eXJ7qq+rcqDDz6oPffcU0cffbQGDhyo0aNH69Zbb610WQCAPL7CHwdp5aPSBXcg13V10EEHadWqVZUupSqQ3QCQDGQ32R0iuwEgGcju8mR3VV8c//e//60bb7xR22+/vR555BGddtppOuOMM3TnnXc2O0x9fb3WrFmT8wAAlJfn25IfXcmuu+6qf//735UuoyqQ3QCQDGQ32R0iuwEgGcju8mR3VV8c931fn//853XFFVdo9OjROvXUU/Xd735XN954Y7PDzJw5U3379o0eQ4cO7cSKAaB7ssG9z1r7sF3o612SdPnll2v69On685//rGXLlnXrPxbJbgBIBrKb7A6R3QCQDGR3ebK7qu85PnjwYO2888453T73uc/pvvvua3aY888/X9OmTYver1mzJhvUTuazAOO4atXm4biZZ9/LeW8cL9smlc5t47qyfu4XF/LfF1OsjeM6wagz/bzGpmz7oJvv2eC9jfXLvPYavKLjiQ8f8hr8gjr8Bk/58m/mH96/KPucfe0aI0lqKPJJVX43z1o1NLOY3MxoVONkxh/v5gQDuTWSDcq1bu5nPsZzgjY2WibhnLk1btSu0c0sXyfoFi6vcCfxXEdmY0OmTbhMg3VifU+mKdNPTY0KRpDp19Qo44bbSTCTtnBmw0Wbf0+oRj/7gwupYLo1wbPnBMvaMdFwYT/XMTnPklSTyvRraPJz+qUcIy/WLs4Y06aP0UxsfNHy8sN9KPNsPU/Gze3mB8vRSdVkhw9eO+lsN0nRsEWnH+vnpnL3ARNsm8Yxcl0nep1pm3n2mmzULXo24TzZnLa5/YJpOiZn2UvZ5R9vE81j8NoJxuOa7Ov85/h+6Ob1y1kGueXK2ux21tEy+35p7buSgw8+WJL01a9+NWdbsNbKGCPPKzyedlUdmt1+U/Z46fvRsch4TUXGkif/OOvH1oFpxUEtPF77mWkZv0mymeFsMLyJ9wvHmT9d48g6QZKEO6AbHMucbCaYYLiobWx4o4ac6Ua9wmGME73OZ30/Ov+JhvdMXj2ubJCVCo+d4fw7sWnmdbPxbvnTDadljKyKH6utm53XgvkPhrfWl6Lll53fTJNUwTKJzt2i7n5hm2iise7h8jN5y6qNcjIhHGc4v8H8WOPEphvUHdZvi2dybt2+WjyhzR93FACx7S2/bWuF20Vbjm2+L7mbWL5F6mluG2/NsCXJ2xaj6ca3vzZsHy1uU8G4i61163u5x68ORHaT3aEO/7s7YKyVDZZt+Gzauh214riQPaaFOednj4HFRtnGUtokL2cUz4DWtG/uvSTT3v95zB93W8Vra2+ONvdHi20h18uhFcdu62S3sbBuW+Rvs87QmdMNV1FnTNEa0/w20c2Q3eXJ7qq+OL7vvvtq0aJFOd3eeustDR8+vNlhamtrVVtbW+7SAAAx3f1Xs+fMmVPpEqoG2Q0AyUB2k90hshsAkoHsLk92V/XF8bPPPltjx47VFVdcoW984xt64YUXdMstt+iWW26pdGkAgJhS72dWznufffrppzrjjDP04IMPSsp8qnzttdeqX79+zQ5z0kkn6Y477sjptvfee+v5559v1TTHjx/f5nq7GrIbAJKB7Ca7Q2Q3ACQD2V2e7K7qe45/4Qtf0P3336/f/e532mWXXfTTn/5Us2bN0nHHHVfp0gAAMaXc96zUT7tLdeyxx2rhwoV6+OGH9fDDD2vhwoU64YQTNjncwQcfrGXLlkWPv/71ryVN9+mnn9bxxx+vsWPH6v3335ck/eY3v9G8efPaNB9JRXYDQDKQ3WR3iOwGgGQgu8uT3VX9n+OS9JWvfEVf+cpXKl0GACAB3njjDT388MN6/vnntffee0uSbr31Vu2zzz5atGiRdtxxx2aHra2t1VZbbdWm6d5333064YQTdNxxx2nBggWqr6+XJH322We64oorSg78pCO7AQCtRXZXB7IbANBaXS27q/o/xwEAyRD+MEgpD0kFvy4dhltbPffcc+rbt28U0JL0xS9+UX379tWzzz7b4rBz587VwIEDtcMOO+i73/2uVqxY0erpXnbZZbrpppt06623Kp1OR93Hjh2rBQsWlD4jAACUGdlNdgMAkoXsLk92c3EcANBubf1619ChQ9W3b9/oMXPmzHbVsXz5cg0cOLCg+8CBA7V8+fJmh5s8ebJ++9vf6oknntD/+3//Ty+++KL233//Vp80LFq0SOPGjSvo3qdPH61atarV9QMA0FnIbrIbAJAsZHd5srvqb6sCAKh+vm/ll/BjH2HbpUuXqk+fPlH32traou1nzJihSy65pMVxvvjii5IkY0xBP2tt0e6hY445Jnq9yy67aM8999Tw4cP1l7/8RUcccUSL05WkwYMH65133tGIESNyus+bN0/bbLPNJocHAKCzkd1kNwAgWcju8mQ3F8cBAO3mx76y1dr2UuYT3nhIN2fq1Kn65je/2WKbESNG6NVXX9WHH35Y0G/lypUaNGhQq+sbPHiwhg8frrfffrtV7U899VSdeeaZ+vWvfy1jjD744AM999xzmj59un7yk5+0eroAAHQWspvsBgAkC9ldnuzm4jgAoN1K/SXsUn81e8CAARowYMAm2+2zzz5avXq1XnjhBe21116SpH/84x9avXq1xo4d2+rpffzxx1q6dKkGDx7cqvbnnHOOVq9erYkTJ2rjxo0aN26camtrNX36dE2dOrXV0wUAoLOQ3WQ3ACBZyO7yZHf3uTjuuDKuK0myvq/wn/ytE9x23fclScZ11dymEw2vmmy3cDx+pp+aGiXHC9oXv6W79XxZzw8m60fdCqcXDO9l29jgYx/bzEdFvudH/cK2vvyc9/HhjVv4dQevIbcWP2jrWysvb8dqCMbZEBt3WFr2OfPCNaZg+Pgw+f3C0sLxuMZE06lxMj3D2+97DX40L04wv15DMFxN2MaTm3ZzpuEEy9iTJycYPn9d+A1NmfHU1Ub9vKCb19AoSUr5vqyXWe+2MTNh6wfbge9JtnD9StntR5L8YMsLNgk5wVdRPN9Gr8Nlkg7m37FBd6dwPdYE89bgONFrz9honMFUMm1TUn2TnzOu8Nk6Jqo0/EpO+DUZN+XIy1tebjAtJ6zRMTLhuKJ1HNuHHDfn2Ull+rm1PaI24bIM+4Xv46/D4fPH66ZS0fTD9e2mnKCNkZMKu5mc+q3vR8O5eW3C5ebE9vFwflNB29qUIzc4vrjB8koFbWpSTs5zXLjcHWNi60I542kNa6USmrebV+T4sKn25fC5z31OBx98sL773e/q5ptvliR973vf01e+8pWcX8zeaaedNHPmTB1++OFau3atZsyYoSOPPFKDBw/Wu+++qwsuuEADBgzQ4Ycf3uppX3755brwwgv1r3/9S77va+edd1avXr06fB67Fetn89n6zR1Ks20lyQQ7TLiNtbAj2LCtk5IJhg+7mSBLTFNwTHdrJOUdb8JjkfVj080r0jhScCywYWrl1Wr8Jtlw+k6qcPiw3qBfVGt8XvKnG753suPIjntjblu3RnKacqfn5C1PSQoPs/H6nSLzK0l+bHz56yYUm9eC+Q+XjdeQ7RbNU3g+Fjvuh/MY1R87v3OLn+7Gl7UJ6s1Ov8h2k7+M/ez7MIatCY/hNhbobtEaTXzZFKsv2hajCRZ2D3K9xZ2jLcfb+DbdkuDcWJ7Xcrs4p3C80TwV21ai5djGn0rKn49NLPdNjqfIsAX1F+knadPzUKwu67et3lYgu8nualHSphXtb42xETRzDtBGOX9a2ex5iJS7T+fv87aF40SBFo/bfvPtmjtOxLV0/G7r8SQ2XLHzkJKmU1CvW9i/NRlUbLxtGa6dTLC92db88WX9wvntBL61Jf0tGWrF6XTp4wxGZlrYT6PpdtxkuwyyuzzZzQ9yAgDaLbz3WSmPcvntb3+rXXfdVZMmTdKkSZO022676Te/+U1Om0WLFmn16tWSJNd19dprr+lrX/uadthhB5144onaYYcd9Nxzz6l3796tmuYpp5yizz77TD179tSee+6pvfbaS7169dK6det0yimndPg8AgDQXmQ32Q0ASBayuzzZ3X3+cxwAUDaeSrv3WQn/Y1iy/v3766677mqxjY19gt6jRw898sgj7ZrmHXfcoZ/97GcFob5hwwbdeeed+vWvf92u8QMA0NHIbrIbAJAsZHd5spuL4wCAdiv3vc+q1Zo1a2StlbVWn332merq6qJ+nufpr3/9qwYOHFjBCgEAKI7sJrsBAMlCdpcnu7k4DgBot2q591ln69evn4wxMsZohx12KOhvjNEll1xSgcoAAGgZ2U12AwCShewuT3ZzcRwAgDaaM2eOrLXaf//9dd9996l///5Rv5qaGg0fPlxDhgypYIUAACCO7AYAIFnKnd1cHAcAtJvvW3kl/NhHOX8YpDONHz9ekrR48WINHTpUjsPvXAMAkoHsJrsBAMlCdpcnu7k4DgBoN6/EkC6lbRIMHz5ckrR+/XotWbJEDQ0NOf132223SpQFAECzyG6yGwCQLGR3ebKbi+MAgHbr7iG9cuVKnXzyyfrb3/5WtL/nlfN3wgEAKB3ZTXYDAJKF7C5PdvMdMgBAu3l+Nqhb96h0xR3rrLPO0qeffqrnn39ePXr00MMPP6w77rhD22+/vR588MFKlwcAQAGym+wGACQL2V2e7O5e/znuuMGzJ4X3pwm7+dktxrhu7nDh+2AYE+tlVZPp5mc+nbCOK5POdHPSmcVrguH8YKu0ni/rZ1/nM83cO8d6Vr5ng3HZnOGz47bR67BNODbfs3LcePWZ9pKienzPymvI/aTFa8r086yVazLDb/DCboV1hpMIfxW3IfikKj7pbJvYdKwK2sW7x3+VNxxnjZMdgRusGa8hU5tbE863iebVz1ve4Xsn9jlROP+OG9Sdzu4m+evLxrabcBuyTY3aJBtMN1iejiQnqN9XMN2gJD/268Jh+3TQM1w3rmOidVObyvRrCpeR5xR0a8ibD9dx5TqZ+U45wXIM2nq+lZvXLdrG/GxNflCvCdqacBdLOXKDem0wvAmGafRdpWrSmRqiNj0ydQTdM8Nk1oHjhvtSOA0jrylvfw2XVVBHKu0qlXZzph9/n0o7Oe2dYFk5vo1qitq40d4kSaqpcaNlUpPK3W9rUm7UrWdNZno9gudweda4TrRNp4P9PruOs+vUyXuWqu9Xp7v7J9hPPPGE/vSnP+kLX/iCHMfR8OHDdeCBB6pPnz6aOXOmDj300EqXmEjG+jK2yBldfjfjSNE+kdcv7G5i+6iTm+syjsKhjRMc872mnOGN31Q4/fhzXk3WZMedPSAGPd10XptY8JncY4k1TrZ/0M8WXSbhfAZtg/OSzLLxc6cbTirobt205OSdEobD5NVT0C987eQdi/0WTjGLzXde/TZeTzhuG/RLhQEfWw6xdZlbd1N23vLnyZjs63D95i3ronXnT1OKjtfFhPMSbVvh/BijcKOw+cvfONH4o7Lzx+umsvtHNE9Fjq1hbeEyjudH/vKKjy8b5Ln9HCdbb9DNhKs/3Ebj44z2qczXXm183C3sN+Hr8Lw4f5rNDRf2t3nry4S1GSd6ne3pFL4O11NLf1Xmr/d43cX20+a0sL9ljoPlyUyym+yuVlEklDicydv/jfVlVfxvBd9mHq2uKX//3MT5SX4trVFsmObGY6zf8riLnSvlv85vU4b6S9LK42bBdEo53nakKFeyW6pt7nygFTVaWxgrpWjv8B0hP66iUxBjms2yYnVH70uMnWgSrVgQ4boqduqUs07zTrFbW0e5/lwnu8uT3fznOACg3Ur79Lq0QE+CdevWaeDAgZKk/v37a+XKlZKkXXfdVQsWLKhkaQAAFEV2k90AgGQhu8uT3VwcBwC0m19iQHeVX80O7bjjjlq0aJEkaY899tDNN9+s999/XzfddJMGDx5c4eoAAChEdpPdAIBkIbvLk93d67YqAICy8GyJX++qstvCtNdZZ52lZcuWSZIuvvhiHXTQQfrtb3+rmpoazZ49u7LFAQBQBNlNdgMAkoXsLk92c3EcANBu3fXeZ++884622247HXfccVG30aNH691339Wbb76pYcOGacCAARWsEACA4shushsAkCxkd3mym4vjAAC00Q477KCtt95aEydO1P77768JEyZoxIgR6tmzpz7/+c9XujwAAJCH7AYAIFnKnd1cHAcAtFt3/QT7ySef1JNPPqm5c+fqBz/4gTZu3Khhw4Zp//3318SJEzVx4kRtvfXWlS4TAIACZDfZDQBIFrK7PNnNxXEAQLs1+VZuCcHb1EVCer/99tN+++2niy66SI2NjXruuec0d+5czZ07V7/73e9UX1+v7bbbLvrREAAAqgXZTXYDAJKF7C5PdnNxHADQbt31E+y4dDqtcePG6Qtf+IL22WcfPfLII7r11lv1zjvvVLo0AAAKkN1kNwAgWcju8mQ3F8cBAO3mlxjSfhcK6Y0bN+rZZ5/VnDlzNHfuXL344osaOXKkxo8frxtvvFHjx4+vdIkAABQgu8luAECykN3lye5uc3HcOI5MKp1543uS4wbdM882XBK+1/xIgrZy3KidCfu5wfhSaUmZ6ZjGhkyvmvXBYE5mEpKs52em63nBs19Yc9A+5MfaFGsf9cvb+H3PFrwOnx3XFLQp1i1f2MuzhW3Cfq7J727lGpPTJr9/hsnrnn3ODm/z2lgFa0d+0M9VLt+z2XWQt/zi75285d5mfnYdm2aaBLMjY4ykTN35i9SzsXlyMgOkg+fGYHjXMVG/mlSm/vCrNhsaTUG3hqbM+wZlauyRdrWhoSlnGtH0Y9tT2M/6bjCLVk2NmXGYoJ0bLL9UOtPGa7JyU3nD2XA7TCldm8oZzgvWRfg+viKdYD78JhO9d10/ZzgTLFQ3nGfXUSrt5Ew/VRO+l1I1mW6OyY4z089G4wjnJRW8bwqm36MmfyvL6lHjqiaYh3D557dPO0aODeoN16UJ+2W3w3C7jzZNP7uOwrpb4kTbWXab62ietUWPBy217wrGjx+vF198Udtuu63GjRunH/7whxo/frwGDRpU6dK6BpuXdeF+EXYOt6P4dm2CNjbI8/hGH/SzYZvo2UgK+jnBCYGbeTaN9ZlnryFbVt7wxvqyYa1hv9g+rHCcQZv84W1TrH1Uvx8Na/1W5JIftg9q8jLHdOumsv2Cecqfhk3VSEH7Ao6THT5gwuHi4w6F0wjGZ6yfnd/4OPPqzhmnFC0zK0mpmqBtUKMbvHeKnAvlrWNjnOw6zdueou6x4aJ+xolqyu9X8L6I+CbpB+9M/np3UjJeYzAvRcYZtg8O/gXbWHxc4fyGvaxfpO5sv/x1Eg0f7xYsHxMs95zllb9NR+svs26M15Bdh1Fthcvb5r3PmZ/wHD1c3/G2za2TeHcnL6P9bJto3orsk/k1RfMdHUuc2AlckeXoZM8xMs0L11fBsS0aQZH1Zv3m27cT2U12l01zx888JtimbLN/LRU/PoXdzSb2jUybYBpFToLDc+Tw783w7wij2G7u5x4nCo4bRRSrKxpuE+3C7s2Nv6Vxh4ruqfE2tplcLzbNMh1/cqdfoWNLtJ1m8yLcTtpaU0vbW0mlRdtkrC6b26+7KWWZhushew7Wtr+DjbXl+wO6jcju8mR3t7k4DgAon+769a5nn31WgwcP1sSJEzVhwgSNGzdOAwYMqHRZAABsEtlNdgMAkoXsLk92d9C/yAIAurMwpEt5dAWrVq3SLbfcop49e+rKK6/U1ltvrV133VVTp07VH/7wB61cubLSJQIAUBTZTXYDAJKF7C5PdvOf4wCAduuun2BvttlmOvjgg3XwwQdLkj777DPNmzdPc+bM0VVXXaXjjjtO22+/vV5//fUKVwoAQC6ym+wGACQL2V2e7E7Uf47PnDlTxhidddZZlS4FABDjWV+eX8KjE+5fWAmbbbaZ+vfvr/79+2vzzTdXKpXSG2+8UemyKorsBoDqRHZnkN2FyG4AqE5kd0ZHZ3di/nP8xRdf1C233KLddtut0qUAAPJ011/N9n1f8+fP19y5czVnzhw988wzWrdunbbeemtNnDhR119/vSZOnFjpMiuG7AaA6kV2k93FkN0AUL3I7vJkdyIujq9du1bHHXecbr31Vl122WWVLgcAAElSv379tG7dOg0ePFgTJkzQ1VdfrYkTJ2rbbbetdGkVR3YDAKoR2d08shsAUI3Knd2JuDj+gx/8QIceeqi+/OUvE9IAUIU838rphvc++/nPf66JEydqhx12qHQpVYfsBoDqRnaT3fnIbgCobmR3ebK76i+O//73v9eCBQv04osvtqp9fX296uvro/dr1qwpV2kAgECTL5kSgrepi9z67NRTT610CVWJ7AaA6kd2I47sBoDqR3aXR1X/IOfSpUt15pln6q677lJdXV2rhpk5c6b69u0bPYYOHVrmKgEA4a9ml/JA10R2A0AykN0Ikd0AkAxkd3lU9X+Ov/TSS1qxYoXGjBkTdfM8T0899ZSuu+461dfXy3XdnGHOP/98TZs2LXq/Zs2aTFCbWDvHzTwkycl8PmBi/azv5YzTOLnTkKTmNi+TSkfjNk2NkqTUZpkTjMZ1GzKNNjQ0N8syrtPiJxbWy/3YJ//m+taz8j1btG1OOz/Tz8+bmvWy43PczFLxmrL9Pdv2Hcs10VKOxhPvFr4O+9U44fvC6ceHy+fk9QvnI5znosO4jkzQLnz2GjLbgVOT3U2M6+Q8h6znZ7el4DncjowkG2wLSuWebJqgjVNkduLzkT9PtanMNBqD9V+TcqJuNcFzeBB0jSnsFkywR7Ct9qxxVZPK3c571GSGqW/yo/bh8PEDbGN9sL8Eg7upTFs3WEaptKNUTbBPBPPhx1ZqbY9UTj/PS+UML0k2mF44Hs/1g2k58tOZfn7eR6JOMM+OY6LhbLD9pGtT0XhranOnH9afaZcZLhWMq0cwnoZgefSuy24b+cumd222XzhcuB6i8buOFOynTjDOdDDfabdw/UfbgWMl3+S0C3sV2zVa2F06THf9ehcKdWh2b0qwcVvjyMiLXmd6BceE4H3YXZLkBvunExwLnNhxPvxFdz8Mv+C/4sLjuHLPGTLPRZI7nK6TkmxuLfltTJE6wzqscWTyhwvFx+s0M79OKjo+h/NpnMy82XAaTio7jfA5Pu5wdYXtw35OqnC6RaYRdQuXaXwa4cv4OOPjkWRTtZnXXu40ohrjovkItg3rxA6CRZZ//rqJPYdHKZM/nXC9x4aPWgdPjjHRuPzw3CUYLpo3N5Xdzpwip+T5671IW+vm1mbDefSz5yXKO//JbG9hocG8BE1y9pOw3ihgsuvNuungtY265QyjmsJ1kbPeY8uw2Dwbk13Pbt40irQP17B1UtF2Fi3n2HYuSdZNZ9v4ueOR42aXhZs7fLa27OSjeXKLrL+WTuib26dzitpEtw5AdiPU4dnd0jYesDZnd2oTm3cMyPbI7DPG+rnHNRX/O95E59oKnjddWUE2lNBtk6yfnadwXlqqoch5Rvw8Ir+O/GXS7HiLdLOx7GtuKbV2Ws3VaFuYjxytWLZhhpn4is871/FbuMaQHb6dx7/886tNNS/D32/hPNi8kYezZkz2dVRAkdm2ef3yx9ecgum2NI2wpli35uqPr5uoVymrK7ZtFZuX+PKpBmR3eVT1xfEDDjhAr732Wk63k08+WTvttJPOPffcgoCWpNraWtXW1nZWiQAAEdLIIrsBIBnIboTIbgBIBrK7PKr64njv3r21yy675HTbbLPNtMUWWxR0BwBUjl/iV7byv/WCroPsBoBkILsRIrsBIBnI7vKo6ovjAIBk8Hxb0g+D8Ak2AACVRXYDAJAsZHd5JO7i+Ny5cytdAgAgj7U2ujd8a9uj+yC7AaD6kN1oCdkNANWH7C6PxF0cBwBUH9+3JX1li693AQBQWWQ3AADJQnaXBxfHAQDtZq0t6VNpPsEGAKCyyG4AAJKF7C4Pp9IFAAAAAAAAAADQ2fjPcQBAu1m/xHuf8fUuAAAqiuwGACBZyO7y4D/HAQDtFt77rJRHuVx++eUaO3asevbsqX79+rVqGGutZsyYoSFDhqhHjx6aMGGC/vnPf5atRgAAKo3sBgAgWcju8ug+/zlujOS4mdeOn+2cqpEk2aaGbLfwhdPMZwe+LxOMK9rMfC/zHIxPkkxNXWY04XM6s7iN68j4TvDajbqFbXw1ZbrlTT/+iU/Y3jZm2lrPBmX4sp6fO5wXH86oJZn+wbjzxhOXHU3mhRfcx8g1RuFSybyWapz4cJluG7ywjYI2Jtat+RrDfvlt0o4jJxhZWHW4jNx0Zhn7seXghMvbDdeDyVkHUna5hevBcZzYOFM5/YzrROsyFG4j8XbZ7SVTpfGDdW2yu2K4msNZjK8yJ+joh7WazHh6pF3VpDLdetVlxrWhIbNN1qScqJ8XjLxnjZvzvkeNqx553UI9a1zVpMJ+mem5jona1gcr2ITrJphWU2N2+0kF447qj933Kl2bexiqC+c1mIbvZ++pFbZtCubNTTnRfuGng2UcbotudsOrrUvnTCOVzq6bdK1btH7ft+rZIzNcuPzC5RY+16TcnGURfw6Hib/erCZTf2OwHNNOdn8Ll00wOqVj+384KznbvRNsn83sLsZIjsJ9ItPWkYm6dTTrZx6ltC+XhoYGHX300dpnn3102223tWqYq666SldffbVmz56tHXbYQZdddpkOPPBALVq0SL179y5fsWiZye4H1jiSExwvTFPQMbYh5e8MwbDWTWXfh+ML+wXjM6maaFw2HKetzfRr2JB59rLnCVFbZTM/+neDWM1RXcbN7RdOI6zDprLnKOEklB3GNrfD2LzAiE/DD+bbcbP1OrFu8flwUpLfQo3RMsk7uTamYH5t+D6chu9Fr62TN43w3Ck+PTedOx5J1o0t59h8mCLLxebVY6xf2C3IXmuMjHLrDdvG+0VzHS4/N5Zb4TLJW6fFalFs3NH48rbFooI24VqOj9c4qZw22Tr82Paet735TdGys+F5azhceH5i/cJ+0Yz5sum6osOF587Ga4ptC7n7nbymnHbFWDcVLe9w+Rdb31H7cJkaJ7u+gvUU7j/R8G4qO8787ddNZVMy/3gRn5+8+c1Z/s2s96L9KozsRrWKYi0WOwXH8vjxtg3TcIzk5cda/HVe5kXHkCLH+6Ld8uW1KXpMa2kny+9XbFrh8S7/dd7wBX8N5Ldtrpvy6m7NfOcNV5CNrdXGA1C0Hts43fztIGnC8h1jZDfxZ2A5ZrXYqWqL7cOGRWqxzYykue6dqdT5bNe0yO6yqK4zNABAIoU/DFLKo1wuueQSnX322dp1111bXfusWbN04YUX6ogjjtAuu+yiO+64Q+vXr9fdd99dtjoBAKgkshsAgGQhu8uDi+MAgHZr69e71qxZk/Oor6/v9NoXL16s5cuXa9KkSVG32tpajR8/Xs8++2yn1wMAQGcguwEASBayuzy4OA4AaLfwh0FKeUjS0KFD1bdv3+gxc+bMTq99+fLlkqRBgwbldB80aFDUDwCArobsBgAgWcju8uDiOACg/UoN6CCkly5dqtWrV0eP888/v+joZ8yYIWNMi4/58+e3axZM3k3irLUF3QAA6DLIbgAAkoXsLovu84OcAICy8a0t6Qdrwh9l7dOnj/r06bPJ9lOnTtU3v/nNFtuMGDGi1dOP22qrrSRlPskePHhw1H3FihUFn2oDANBVkN0AACQL2V0eXBwHALSbtdmvbLW2fSkGDBigAQMGlFpWq4wcOVJbbbWVHnvsMY0ePVpS5pe3n3zySV155ZVlmSYAAJVGdgMAkCxkd3lwWxUAQLu19d5n5bBkyRItXLhQS5Ysked5WrhwoRYuXKi1a9dGbXbaaSfdf//9kjJf6zrrrLN0xRVX6P7779frr7+uk046ST179tSxxx5btjoBAKgkshsAgGQhu8uD/xwHAHQpP/nJT3THHXdE78NPpefMmaMJEyZIkhYtWqTVq1dHbc455xxt2LBBp59+uj799FPtvffeevTRR9W7d+9OrR0AgO6I7AYAIFm6UnZzcRwA0G6+L5kSPpX2/fLVMnv2bM2ePbvFNvlfLzPGaMaMGZoxY0b5CgMAoIqQ3QAAJAvZXR7d5+K4cTIPScbJ3k3GRr3dZrtZ38sdl+M0u4WZdDr7JhjO1NZJklI9aiVJTes3ynqZ4d107iowriMbjDv/OacE1wSTaNuWHi6DcDxSOK++FI078xzNUX12OYSD1QSLsiFWhhv8ymz47NnCfp7N7VfjGDXk7eDZ8diojZe3YzlhmxpHxs0U4war0g2Kc2qCDg2eTFB4/rPjmGhZuDWZdeI3NgXDp4O2jpxgfYXTcoKJGceRYtvQphgbrttwmRbuio6yv9abDqbnBcuoNnifDmpOO0Y9gvnskXZz2vauS0X9Gpoy0+1Vl8pp06supd4bM93WN2Rqch0TDRMO7/m5d2LyfKu1wfTC9mHbxvrM8jPGKF2b6ZbdbrPrsaY2d95T6XBbLDzgu6lguQfr3Uk5UTsTTN8P5tEJ2lrfRtPPjie7bHv2SOcsi7B+61v1DpZTTTAuN9hvwjauMVG/cPiGYJ+sSTnRMgnb1AXPagrm1XUkBceCoKS0E04rO5/hDze74eL3TdQtvp1klk22e9TGxsZTph+BttaWdD+zUu99hu7JOinZILvlpmSdVPRakowX7EyOI6vcfjY4zioYJhpWis4Hwp3EOqnouKzw+Bw2D0OlyY9yPTuaoK0tcpe6lqabx+S3i7HGRD+6Y/N+xd0E9dj4OUywaznB+PzYsSA8TjlB+3j3lFuTM41i0yzWLX9XDn/0xw3z0ThRffnDO0Xm21fucU+SmoJphDWGbRzjtFhvpkNhm3A9eL6NjtNht7BWa7NFmPzDVVizzZ78GL8pGD7oZ9zsegmWe9gvux5S0fZacA5hbc72mSOcR2tlg2US7xbVFm5v1s8b3InOdcPhw/rDGy5a68um6nLnLdpvnOx0w3GG+03Yxmkq2N6tG5xPOY3ZblH7YB7Dabk12fP2sK1t4Zw37GccKTou5C63+DybcH3n7fdyUlG7aB92Y+MOuU5Ot3AdGb9wvmVy2xbUW+x9sXkrA7IbnaHZ43O8TTPntS2PON62eL7aIvuUKfI6PA+PIsEodtBoxbGnufdFmHib1uzfUXbl59sm6or213YeQ/Kn08y5TGu1Zv6N9dVRR5ti5wml/Jhha8ZdTGu2+/bKj/5yik/DmNzn+CZasJnGhwveFDvXa3a6LTRqbteID9fSJFqzHVhjSvrzuXPWBdldDt3n4jgAoGysX9rf72X8Wx8AALQC2Q0AQLKQ3eXBxXEAQLv5vi3x6118gg0AQCWR3QAAJAvZXR5cHAcAtFupv4Rdzl/NBgAAm0Z2AwCQLGR3eXBxHADQboQ0AADJQnYDAJAsZHd5cHEcANBuvrUl/biNzw+DAABQUWQ3AADJQnaXBxfHAQDtxifYAAAkC9kNAECykN3lwcVxAEC7WVtiSPMJNgAAFUV2AwCQLGR3eXBxHADQbta3Jf0SNp9gAwBQWWQ3AADJQnaXh1PpAgAAAAAAAAAA6Gzd5j/HrWnmcwDHyX1uapRJ1WRe+17RQYzjKvzsxYTjD9s6rozjBsP7mTY1dZIkty4zXiedkmloyryuKVwFflCLDYa3np+dDy/3Ux/HzbT1PC8YxsoE3eLDSZJxTdTPcW0w/UytxgunZWTczFx5DX7Q1kRt/YbMdJygX9hWjdlllQ7qz97430T9HJN9LUle0MY1Rj3C6QaDhe/DSfRwjTyb283EagvrNE44j5n36brMMvbTjlI9Mq/dtJvTJqdbOtMmFawvN3jv1tXIzVtf4fozqRqZVDroGKz/oA7jutkB8uY/Go8kX8U/0XOMUdoJ5tMU9pOk2pSrHsG6rE2F23q21rpUpp8bjKAmVbg/9AqWU9gmfG7wfPWuzfSrb/Jz+nm+1fpgmwi79Qzq2NCQWR4NDZ56BONuCKbbFNte6npm2uV/+ukH26SJzbQJ5jd8TtU48oKaUsH6a6z3on5SZp/oFUxjQ958u47RFr0y6/mzjZl9sndddrn171Wb2z6YbtjG82203L2g/nB59Khxo+UcLv/avOnXpRw1BrNXG7RJu9nl7yh3hYebjzGSE+4LwSjzdvdMm6B9Xq+ysNaW9JUtvt6FVnFSkpvKvg6zPHi2Of387GtJskGuuUGmG5MdPhCeGxhJVmF2e0FzJ2d4YzZIyjsvCKYRH7cNpm9jtdpg5w03+/wfxnGcdNQtPK43RsdEm92X/bBNMGqF5wCF+1PYptHzs8PbsF9he8+Ex/Xc47yU3bdNNB9+9D5/X47KDmpKu458L8z6oFfQKO2ko/MAEw2WO4+ucaP2ymuTdkxsmWQGyM8S1zFq8rPnGpLkhOvIZtdJmN3xdeTmZ3be9pcZIDzCFvYLxxVOosmG9WeeU25axs9sX+F2Ew1vY+d+Tuw8Il6O9QvOb000nBuN0/hNOW2sYmdmbjp3GlHRvqybe14Tr9GmcvNRwTSiNl5DrP68eTNOdv6ifianjU3VxtqHG3CR8/Iiy8uE6zesP+wem+f8PSBcbtY42X0/XH7Rft7C/xSFy6iZmgrKbn5MrRq+o5DdKJtW7DcmE77F+7VmW8sZd97+0orhjTFRLoXbdph9xtrCfbBgnH5hv2b+1ssdvhX7trWF7UrZ/+J1FB2uuXG3ME/xNi0tCyln3ZiC5egXbhetON7Fj9OlCLcl29K6aaF9sW2xNau7+Qm0//9Tw3PGgvOUTWjVbpU3Sj+2bzQ3fEtltLXWjhLW7MgWbAPx96X8wGWlkd3l0W0ujgMAyocfBgEAIFnIbgAAkoXsLg8ujgMA2s33bexfRlvZHgAAVAzZDQBAspDd5cHFcQBAu1nfy95eqpXtAQBA5ZDdAAAkC9ldHlwcBwC0GyENAECykN0AACQL2V0e7f81gDKaOXOmvvCFL6h3794aOHCgvv71r2vRokWVLgsAkMf6fhTUrXt0xs+EohLIbgBIBrIbIbIbAJKB7C6Pqr44/uSTT+oHP/iBnn/+eT322GNqamrSpEmTtG7dukqXBgCIsZ5X8gNdE9kNAMlAdiNEdgNAMpDd5VHVt1V5+OGHc97ffvvtGjhwoF566SWNGzeuQlUBAPJZW+LXuywh3VWR3QCQDGQ3QmQ3ACQD2V0eVX1xPN/q1aslSf3792+2TX19verr66P3a9asKXtdANDdce8zNIfsBoDqRHajOWQ3AFQnsrs8qvq2KnHWWk2bNk1f+tKXtMsuuzTbbubMmerbt2/0GDp0aCdWCQAAQmQ3AADJQnYDALqbxPzn+NSpU/Xqq69q3rx5LbY7//zzNW3atOj9mjVrMkFtcj8HsE2NOe+N60bdTTotSfI3NDQ7HeME7cOb2wfvTSqdbRS8NjV1mSZ1PTPP6c/k1uQueuv5Oc+S5Dc05bTxPVtQh5t2gn5+UJeR65jMuNzMs9eQ+aQoVZeS4wbtg+HcGjenTWZWMv28Gi8apyQ1bWySNsvMU8O6xqBtpp/b4EbDm6CbH4zTCabhN3jR61QwL00bmoI6HNXUZ9p7NtMv7WTq6BG8r+1dUzDOUG2f2lj9Jqfu2j41Ub9Uj1TOfIdtHNdRerPaYDnVBvORaePW1QTDpLKvg20kfG9q66RUdjqZcbthQZIbbBfBPNlgezQ2WG/GRMMFs6uwU9o1SgfzlFawToPNpC6V3a57pDPTqwvWnxsbZ9gubTPdGoPlH4xWnpUaajIjDbefHuG24dvodU1Tpk1D8NzkWzX0zJ3v+HCStL7BU8+g2/pg/Xnhe7dJPety94VwuPC5V10qml5obfDcq2da6zdmtqF+vTJ1rA3eh/Ph+Va9g2mEz2EdPWtc9Q/Wezi98L0k9euRzulXEyzHmthyj7+Ov+9R46pnsE7CdZEOt7ege62bHTZaR07h+gsGi7pZY6W8br6xOe8dEzWJ1rONjauj8Qk2imlvdlvHlZzMfmuNkz0wBt0UHENlnCjnrZN3ahPmdbyNaX5HCPtYBcOlMscE69ZEx+xs42AfdpzYazfn2ZeJjiHBk6zNz3Mb9XOCfbkxNqlwv822ya21yOlB1CacdqaWoF9eW1+SI5vTxo2NM6w3XGxNwTjjh7/CeYr1C+vMq9fa7Hwrr19wmiLfZKdn85ZDfLrh4TR/fPJtdhmE9YbHTWtlguocFW4TUR7ndw8z3G/Krve8bcO3Njvffrj8TM57m3Zlg/MD37jRcJn5caPp+0F7J2hjouUQO/eKjvPZbuFyc53YuWnQNlwUXtDPUd6Cs35Uk4Ln8Pwsla6Lxh0uWtcE+2nwPpWqzdYfvgjburn15NQWZEOTnGz7YB80xXIjvi7C0oNnP5iOyds2rZMqGM6adPDsSOG4ouNFrQoUG6eCbSXcJor9/lWY4zZ3uzHhMPG/V5p73YHIbhTT7r+7pZa32Rb6mWwIF7bPO85aJ5XdhwpG1PzkQznnxMGEo07WL8z8YvKzL/6+hXONgvbRQdwW9muLUofNn/6mao+ffxWdbgvLztrm+zc33k31K5GN1ndmXMXOAfKzoyVh25bOL6NpWluwmKPhY3W0dlXE+dbm/A0ZH97zrZxSRpan2KZZbLNtbhLWxgcoHK7UGkpljWnTMq1GZHd5JOLi+A9/+EM9+OCDeuqpp/Rf//VfLbatra1VbW2Rk1gAQNkQ0shHdgNAdSO7kY/sBoDqRnaXR1VfHLfW6oc//KHuv/9+zZ07VyNHjqx0SQCAIqzvlxjSrfhvHCQS2Q0AyUB2I0R2A0AykN3lUdUXx3/wgx/o7rvv1p/+9Cf17t1by5cvlyT17dtXPXr0qHB1AICQ73tSCSHt8wl2l0V2A0AykN0Ikd0AkAxkd3lU9cXxG2+8UZI0YcKEnO633367TjrppM4vCABQFF/vQojsBoBkILsRIrsBIBnI7vKo6ovjLf24EwCgehDSCJHdAJAMZDdCZDcAJAPZXR5VfXEcAJAQnifrlBC8HiENAEBFkd0AACQL2V0WXBwHALSbtaXd+8xaQhoAgEoiuwEASBayuzy4OA4AaDfr+6WFNL+aDQBARZHdAAAkC9ldHlwcBwC0my3xV7O59xkAAJVFdgMAkCxkd3l0n4vjxsg6mdk11peczKcnJl1T2DaV6WacjcVHVVsnG9y3x4QdfScYxs22q8m8Dj+ncZo2lyTVrFtb8OmN39gkSfKC52Ic18i6mSm6wbhTPVI5zw01jdn2TqZtw7rGqE26LtPO92wwnkzdXoMfTcME0wi7hZo2ZmtL1TUE7Z1gfIWfRnmNmW5u2oneh6/D4erX1Ee1eQ2ZZWqD2pxgHm0w7to+tdG8hPPhNWaGqdu8Lppf4zoF/cJphvPmpMPlVhNNo6b3Zplx9+mZqbshM7/pzeqCea6Nxh0O79Rk+pmaOpnwdTqdea4N3qfSknEKlk9mwWWm4aYkJ9iajAnWTTBIz7Qr1wR1B8+NJlgmbna8vWoyNfVIB9uGb6NhalO5028KlmkqXA9NvoJFo41Bv7qgX0NPXzXB8F4wzvB5Q4OnVLDcm4Ju/Xpm5j+suUeNFw3fo8bPGb5njatedemc2sJ+DU2Z9de3Z43WbmzMaROOr3ddWm4w/X49M+synNewu+db9Q36xWuSpF61qajecLoD+9RG0+nfqyaoxc+ZbnzcPYLtNBx3Q7D8eqbdaJ2EalNuzvue6ez7cF2mw308tsrCbSNcR9ZERx6FL8P24bNRdnuJc4t0A6qWm5Z1s8eIMMdV7IfDwm07ON7a8DnI5ZxBgte+DY+3sX0z73htazKZYJvqYx393Gk5qag266Zyam30bXR8CUsI3rb4A2herJef18zNi5QiEZwt1VqZYNl4wfTCweOD5XdzY4eKcLiwW3i8z68rnF5cS/+rUuxbno3RAGHuZZefn3f8sn7zCyl665jssgw7Otlaw+Opn1d30TUTTb+ZTM8b3o+2s7BjkKHBe8+3Uqo2+zr2HJ9+2C063ueth0y/3GXjGKkxmJCfV65jJGMy22d0PhDkWjhGIyfqF9URm58GL3cJOXnR4vm26PYhSa7Nto9WSbj7BsvWs9n5C8/UTWy55+ebH8xPvHu43KJzKDczpkabHZfj1ipfdG4bboPhUrHZ5WGC1/nHmfhrE/QzttheEP11EAwTHNuMkzMdKdgTmjuPBKqQddycc9Woe7grhX9B29zXOaJMj+dz7nm0tdluTgv7SH4tTjPH/Xi/oiHQmnPoltrknafI+q1rX4kfS41PszXTz7/4ZpWdz/z59htjYRMcJ/28ayDWV8GSCeow1i84D4sYp2B9m2i4IF9j/W2R9R12C2e7IAOMW7jagn5GTsHwYdNoMRpTsH3F68hf3K1Z/OHgjkzBfIbvHWMK6i62TEy4LoNlG8/VZoePrmNkuzVXY3P9CoYL64/X08JIis1Lc9ON1k1sF8s/FsWPDwXnHK3cJ1vbDtWh+1wcBwCUTebrXa3/yhZf7wIAoLLIbgAAkoXsLg8ujgMA2o2vdwEAkCxkNwAAyUJ2lwcXxwEA7UZIAwCQLGQ3AADJQnaXBxfHAQDt5vte9p5wrUBIAwBQWWQ3AADJQnaXBxfHAQDtZj1fMiWEdEu/IAgAAMqO7AYAIFnI7vLgp88BAO1mrSfrl/Cw5fsE+/LLL9fYsWPVs2dP9evXr1XDnHTSSTLG5Dy++MUvlq1GAAAqjewGACBZyO7y4D/HAQDtZn2vtE+wy/j1roaGBh199NHaZ599dNttt7V6uIMPPli333579L6mpqYc5QEAUBXIbgAAkoXsLg8ujgMA2q2aQvqSSy6RJM2ePbuk4Wpra7XVVluVoSIAAKoP2Q0AQLKQ3eXR5S+OW2slSWvWrot+0dV4jbJeY6ZB3oZiN6yXsW7m9br1RcdpGj1ZLxiuqSnTNhy34xa09xs3Zp7XbZAkNW6oV8PGekmStzFTR2N9Q2Z09Q3yGzLj9Bsy/ZrC58YmeY2Z+wW5Jve+QWH3hqAeSXKMyYw76OY2Selotm0wHidneMc3Mr7J6RZNIzbucDqOdYLxFd7HyPPCWp3offg6HK4+WI4pL9veBrU5wXP4vqmpSQ1eZrrppnAaXtQvnF/jB9NryvTzGxuD8TkyrgmmH8y/k3lvfV81wTpIb8zsFuF6qKnJrFPXSsYN6g/GnXIybR1ng4wXTD+dzrR36zLvazzJzdRggxXgNQW7XjD82pS0dmNmnI1+WFumyboN2XkLn5v8zLJaV58ZpsHztWFjsE6CesPxNDT58lK5d1BqCpZ1KphIQ5Ov+mCeNgbjtk6m38b1jfJTwTYRjDNc3fUNnuobg3UQ9NtoM/PfsD6zjTc0elIqO534eBobm9Tgp3Nqi/oF67ZBNWqob8xp09gQbO9+So0bMv0anMZonJLkBevW960alPkk0g2WX0NQc72XUn1Ub2b9bww2rvr19dpY2xTUnakpXA7hduP5Vmp0c8bdGC7bxpScmrxDbDr3+JBqSGl9sNxtKhhPML7GYFqS5CicbriMYiMJmvnBNp0KajPKbi9xaz/7LDO9oH1HsY0bSwve4Bi8Zs2anM61tbWqra3tyNJabe7cuRo4cKD69eun8ePH6/LLL9fAgQMrUkt3F26fn332mWSzG7wNjpnGaywcKNzeg5yx4XOQy8U2eT8vCyTJ5DV06tdmnjeslWnYEBTi504r3SibCo7zqcyxxG/IjLPeOtFxLTvd3Pksxov1yhs8OhZEbVu4laC1ViZYNl4wvXDw+GD53dzY8SMcLuzWFB5vihxj8ucp5Ra2yZ9mXHjqURPmtcnmgsmbXmy15byWssvMdUw0fNgmfgx3Y8fMnPlQdn6d4Ouoxg9OPoJ5NE310foOt4kw5xtttobm1n9jykTTb4rytXCbzJ//cJE2xcZbbNk0eoXjCvuFXcJxhNkRjtHkjT9et+uYaNzxcea/z99uQ65jovZhm/B9OBrPZuc77Rauo/x8C/dlp4Xt1gnmrtFmx1UsJ8N2vnKHix+LTLi+844zxvdyXsfb5gi72bxxGydnOpnhbeZYKLK7GLK7euRkd9H+rR9XkV2zxfFF+2mxdnkjC4fzixTkxI770b5bbB8uVoTUusKD40bR8cbHF46rg/f7nHG3NP2Whg2PGy3NS9gv7/xM8XO4/DbFhg+F03TcbOY6qYJh8td3/nldfn8pO9vxXmG3/AywRa73mNjyCMefP874+2LTi7fZlGLnr+HwYb1hHeH8+zIF0wv7xZeJyVu3fix9mxs+bGNM4fJuip07xOvMGU+R4aL6iyzbYorNS77mdteW/kaQmj/n2BSyu3nVmN1d/uJ4uEGO2OegClcCANXjs88+U9++fds9npqaGm211VZa/q97Sx62V69eGjp0aE63iy++WDNmzGh3XaWaPHmyjj76aA0fPlyLFy/Wj3/8Y+2///566aWXKnbS0J2F2b3tjp+rcCUAUD3I7lxkd3UJs3v77barcCUAUD3I7lzVmt1d/uL4kCFDtHTpUvXu3bvgv2oqYc2aNRo6dKiWLl2qPn36VLqcZiWlTik5tSalTik5tSalTql6arXBf6ANGTKkQ8ZXV1enxYsXq6GhoU215B+XmwvEGTNmRF/bas6LL76oPffcs+Q6JOmYY46JXu+yyy7ac889NXz4cP3lL3/REUcc0aZxou3I7rZJSp1ScmpNSp1ScmpNSp1S9dRKdhdHdlcXsrttklKnlJxak1KnlJxak1KnVD21kt3FVWt2d/mL447j6L/+678qXUaBPn36VP1BRUpOnVJyak1KnVJyak1KnVJ11NoRn1zH1dXVqa6urkPHmW/q1Kn65je/2WKbESNGdNj0Bg8erOHDh+vtt9/usHGi9cju9klKnVJyak1KnVJyak1KnVJ11Ep2bxrZXVlkd/skpU4pObUmpU4pObUmpU6pOmoluzetWrK7y18cBwAk34ABAzRgwIBOm97HH3+spUuXavDgwZ02TQAAuhKyGwCAZOmu2V3st5AAAEisJUuWaOHChVqyZIk8z9PChQu1cOFCrV27Nmqz00476f7775ckrV27VtOnT9dzzz2nd999V3PnztVhhx2mAQMG6PDDD6/UbAAA0G2Q3QAAJEtXym7+c7yT1dbW6uKLL676H4lJSp1ScmpNSp1ScmpNSp1SsmpNup/85Ce64447ovejR4+WJM2ZM0cTJkyQJC1atEirV6+WJLmuq9dee0133nmnVq1apcGDB2vixIm655571Lt3706vH9UnKftvUuqUklNrUuqUklNrUuqUklVr0pHd6GhJ2X+TUqeUnFqTUqeUnFqTUqeUrFqTritlt7HW2opWAAAAAAAAAABAJ+O2KgAAAAAAAACAboeL4wAAAAAAAACAboeL4wAAAAAAAACAboeL4wAAAAAAAACAboeL4wAAAAAAAACAboeL4wAAAAAAAACAbidV6QKQtXLlSr333nvq2bOnBgwYoIEDB8paK2NMpUsrkJRak1KnlKxa8/m+L8dJxmdtSak1KXUC3V2Sjt1JqTUpdUrJqjVfknImKbUmpU6gu0vSsTsptSalTilZteZLUs4kpdak1InyMtZaW+kiIL366qs64ogjlEql9Mknn2jEiBG66KKL9NWvfrXSpRVISq1JqVNKVq2LFy/WI488otWrV2uXXXbRIYccImNMVZ5QJKXWpNQJIFeSjt1JqTUpdUrJqjVJOZOUWpNSJ4BcSTp2J6XWpNQpJavWJOVMUmpNSp2oAIuKW7ZsmR02bJj97//+b7t48WL75z//2Z566qnWGGNvuOGGSpeXIym1JqVOa5NV62uvvWb79+9vDzzwQDt06FA7atQoO3bsWPvpp59aa631fb+yBcYkpdak1AkgV5KO3UmpNSl1WpusWpOUM0mpNSl1AsiVpGN3UmpNSp3WJqvWJOVMUmpNSp2oDC6OV4GXXnrJ7rbbbva9996Luq1Zs8Zefvnl1nEce8cdd1hrq2NnTUqtSanT2uTUun79ejtu3Dh76qmnWmszNf7973+3n//85+32229vly5daq211vO8SpZprU1OrUmpE0ChpBy7rU1OrUmp09rk1JqknElKrUmpE0ChpBy7rU1OrUmp09rk1JqknElKrUmpE5XDxfEq8PTTT1tjjH355Zdzum/cuNFedNFFdrPNNrPPPvtsZYrLk5Rak1KntcmpddWqVXa33Xaz9957b9TN933773//237xi1+0n/vc52xjY2PUvZKSUmtS6gRQKCnHbmuTU2tS6rQ2ObUmKWeSUmtS6gRQKCnHbmuTU2tS6rQ2ObUmKWeSUmtS6kTlcNf5CrLB7d5HjRqliRMn6oYbbtDy5cuj/rW1tfre976nfffdV48//njOMNSa7DqTVqsk9enTR67r6u9//3vUzRijkSNH6rbbbpPjODr99NOj7pWUlFqTUieArCQdu5NSa1LqTFqtUrJyJim1JqVOAFlJOnYnpdak1Jm0WqVk5UxSak1KnagcLo5XwPr167V+/XqtXbtWkrT55ptr8uTJmjdvnu6++2598sknUduhQ4eqV69eevHFFyV1/o6alFqTUmfSao2z1urII4/UK6+8ogcffDCn384776xvfetbev3116P5qqSk1JqUOgEk69idlFqTUmfSao1LUs4kpdak1AkgWcfupNSalDqTVmtcknImKbUmpU5UDhfHO9nrr7+uI444QnvttZe+/vWv65JLLpEkTZ8+XZMmTdL111+vm266ScuWLYuG6d27t4YPHy7P86g1wXUmrdYVK1bo+eef18KFC7Vy5Uo5jqPjjz9e6XRa1157bc6nrlLmk/gPP/ywIoGSlFqTUieAXEk6diel1qTUmbRak5QzSak1KXUCyJWkY3dSak1KnUmrNUk5k5Rak1InqkjZb9yCyDvvvGO32GILe9ZZZ9lrrrnGXnTRRbZPnz720EMPjX4h99xzz7WjR4+2o0ePtj/84Q/tt771Ldu7d2/7+uuvU2uC60xara+88orddttt7bbbbmu33npru+2229o///nP1lpr33rrLbvHHnvYAw880N58883WWms3bNhg//u//9uOHTvWrlmzhloTXCeAXEk6diel1qTUmbRak5QzSak1KXUCyJWkY3dSak1KnUmrNUk5k5Rak1InqgsXxzvRtddea7/0pS/Z+vr6qNv8+fPt4MGD7QEHHGAbGhqstdY+8MAD9pxzzrEHHHCAPeWUU+xrr71GrQmvM0m1Ll++3I4YMcKec845dvHixXbu3Ln21FNPta7r2muuucZamznhOProo+32229vBw0aZPfbbz+7+eab2wULFlBrgusEUCgpx+4k1ZqUOpNUa5JyJim1JqVOAIWScuxOUq1JqTNJtSYpZ5JSa1LqRPXh4ngnOuecc+zuu+8evW9qarLWWvvPf/7TbrnllvaEE07Iad/Y2Gg9z+vMEiNJqTUpdVqbnFpfeeUVO2rUKPv222/ndL/88sut4zj2tttus9Zau2LFCvvyyy/bmTNn2jvvvLOgPbUmr04AhZJy7LY2ObUmpU5rk1NrknImKbUmpU4AhZJy7LY2ObUmpU5rk1NrknImKbUmpU5UHy6Od6I5c+bYPn362Pvvvz/qFh6o//znP9stt9zSPvrooxWqLldSak1KndYmp9annnrKGmPsW2+9Za3N1mittRdddJGtra21CxcurFR5OZJSa1LqBFAoKcdua5NTa1LqtDY5tSYpZ5JSa1LqBFAoKcdua5NTa1LqtDY5tSYpZ5JSa1LqRPXhBzk70fbbb6+DDz5Yt912m+bNmydJcl1XkjR69Gj17NlT//nPfypZYiQptSalTik5te67774aP368LrjgAn300UdyXVe+78taq3POOUfjx4/X7bffLs/z5Ps+tXahOgEUSsqxW0pOrUmpU0pOrUnKmaTUmpQ6ARRKyrFbSk6tSalTSk6tScqZpNSalDpRfbg4XmbxXzreeuutdeKJJ+rjjz/WrFmz9Pjjj0f9hgwZoq233jraQa211JrwOpNWa8hxHH3jG9/QkiVLdM0112jVqlVynMyhonfv3tp88821ZMkSua4bdafWrlEngIwkHbuTUmtS6kxaraEk5UxSak1KnQAyknTsTkqtSakzabWGkpQzSak1KXWi+qQqXUBX57qurLW64YYb9IMf/ECHHHKIfN/XrFmzdM455+ib3/ymdt99d/3tb3/TG2+8of3331+SZIzptBqttTLGJKJWiWVaDr7vy3Gc6Pn73/++/u///k9/+9vftGHDBl144YXafPPNJUk9e/ZU79691dTUJNd1qTXhdQIolIRjd9JyJgl1Jm2ZJilnklJrUuoEUCgJx+6k5UwS6kzaMk1SziSl1qTUiSpXxlu2dHvh/Y2uu+46u8UWW9ibbrop6vfCCy/YCy+80Pbv39/uuuuudvTo0fbll1/u1Po2btwYvQ5/gOL666+vulqXL19uV65cmdOtGuu01hb8kIfv+1W7/vP5vm+/973v2XvuuSfqdvHFF9u9997bbrvttvaMM86wRx11lO3Vq1dFfnU8Lim1JqVOAFlkd8cguztHknImKbUmpU4AWWR3xyC7O0eSciYptSalTlQvLo53oOXLl9sXXnjBPvjggzndP/zwQ3vzzTfbjz/+uGCYVatW2U8++cSuXr26s8q01lr75ptv2uOPP94+8cQTOd2rrdZXX33VbrvttnbWrFn2s88+q9o6rbX2rbfeshdeeKGdMmWKveOOO+xHH31UtbUW88ILL9gxY8bYqVOn2vXr10fdn3rqKXv22WfbQw45xJ5yyilVESbz58+vulo//vhju2LFipxuL730UtXVCSAX2d3xyO7OQ3a3D9kNJBPZ3fHI7s5DdrcP2Y1yMNZW8CZLXchrr72m448/Xp7n6b333tNOO+2kJ598Uj179mxxuPCrH52poaFB3/rWt3T//fdrypQp+t73vqexY8ducrjOrvWtt97S2LFjdcopp+i8885T//79c/p7nhf9sEZcJZbpa6+9pokTJ+qAAw7QkiVLtHbtWv3sZz/ToYceKin7da9qqHXRokW6+eab9cEHH2iPPfbQpEmT9PnPf16SNH/+fG2//fbq27dv0WGbm49yWbx4sR544AH95z//0V577aVjjjkm6rdw4UKNHDmyKmr997//rQMPPFDHHXecTjvtNA0ZMqQq6wSQi+zueGR3eZDdHY/sBpKJ7O54ZHd5kN0dj+xGuXAH+g7w9ttv68ADD9RXvvIV/eEPf9D8+fO1du1anXbaaUXb//znP9fUqVMlqSI/AlBTU6PRo0frkEMO0T/+8Q/NnDlTTz/9dE6b8DOTStZ66623atKkSbrqqqvUr18//elPf9IvfvELPfHEE/rggw+i+4pVus6VK1dqypQp+v73v6977rlHzz33nAYMGKBXXnklamOMqYpa//Wvf2nvvffW22+/rXQ6rWuuuUZnnXWWfv7zn0uS9txzz5wweeONN3KG78wwee211zRu3Dj99a9/1fPPP69jjz02qlOS9thjj6qp9dFHH9XixYv15z//WbNnz9by5cursk4AWWR3eZDdHY/sLg+yG0gesrs8yO6OR3aXB9mNcuHieDutX79el19+ub7+9a/r0ksv1U477aQdd9xR3/3ud7V48eKi7f/9739rwYIFWrFiRafXGwZFr169tPfee+tvf/ub3n77bf3yl7/UG2+8ofPOO09vvfWWjDEVr/X111/XF77wBUnSuHHjdNVVV+maa67RmWeeqZNPPlmLFi2SMUZr166taJ3Lly/Xhg0b9PWvfz3qNnLkSL399ts67LDDNGPGjKqotbGxUVdeeaWOOuooPfTQQ/rNb36jf/zjHxo1apR+//vf67LLLstpf+utt+rrX/+6/v73v3dqnZL03nvv6YgjjtCxxx6rhx9+WM8884xuvfVWXX311XrnnXcK2leyVkkaO3aspkyZoiOPPFLXX3+9/ud//kerVq0qaFfpOgFkkN3lQ3Z3LLK7fMhuIFnI7vIhuzsW2V0+ZDfKhYvj7VRXV6fa2lptu+22OV812mOPPfTuu+9q1apVamxsjLr37NlTl112mR544AENHDiwEiVLyoTe/PnzNWLECP3hD3/QokWLdPDBB+uGG26Igrxnz566/PLLK1br1ltvrffee08zZ87UZpttpnvvvVfvvfeeLr30Uhlj9LOf/Uzr169Xr169Klrn+vXr1dDQoH/84x9auXKlZs6cqbvuukvDhg3TgAED9Oyzz2r69OlauXJlRWtNp9NatmxZtH6ttRo2bJh+8pOfaNy4cfrLX/6i3/72t1H7YcOGabfddtO2227bqXX6vq/f//732m677XTBBRdE+9Vee+2ldDotz/MKhhk6dGhFag1Za/Xss8/qggsu0KmnnqpbbrlFd9xxh4444ghdeOGFUbtKLVMAucju8iG7OxbZXT5kN5AsZHf5kN0di+wuH7IbZVPOG5p3ZY2NjdGvTsdv+O/7vrXW2rlz59rtt98++uVsa639z3/+YxsaGjq3UJupNX+68+fPt9ttt130gxSHHXaYTafTdsKECfbFF1/s9BqtLazzl7/8pR01apQ98sgj7c9+9rOcttdcc40dMWJE9OMbna2xsdHW19dH70877TQ7cuRIu//++9uePXvm/DjMb3/7W7v11lvbl156qRKlWmszv+De0NBgTz75ZHv44YfbDRs2WN/3o1/5fu+99+zkyZPtV7/61Zzh1q1bV4ly7ZNPPmnPO++8nG6e59mRI0faOXPmFB2mUrWGJk2aZBcvXmyttfaqq66ym222me3bt6995JFHctpVuk6gOyO7Ox7ZXT5kd/mR3UD1I7s7HtldPmR3+ZHdKAf+c7wN/vWvf+m4447Tl7/8ZZ100kl64IEHon7xT9fiP/rwox/9SMcff3zOp9mdWev++++vk08+WXfffbestRozZox22mkn1dTU6JRTTtHLL7+sO++8Ux9//P/bu/OgKOs/DuDvh+UQBNcrXbEM8Qwih3GMdDz6TWE65uQ13iSYVjMGal6VNWKRaHmWdpgCOqWoo6h5MOMoYGZFRmsmXsWWk4qYcghYAvv5/eHwyMYhILvLV96vGWbc53n47nt35XnvfJ999rmOefPmIT093Wk5w8PDsWfPHsyaNQudO3fGrl27kJmZafPcDRgwAF5eXrh165ZDc1bM+swzzyAsLAz79u3Dp59+imPHjuGdd97Rj1KWCw4OhpeXV5VHXu2t/D4NBgPc3NwwZcoU7N27F+vXr4emaXBxcYHVakWnTp2wePFifP311zCbzTafYnB0VuDOJyxiY2MB3D0lUdM0aJpm8//g8OHDuHr1qkOzVvc63r59G0ePHgVw5+IrBoMBnp6eOHnyJC5fvqxv58jnlIjuYnfbNye7u+Gwu+2bsyJ2N1Hjxu62b052d8Nhd9s3Z0XsbrIHTo7XUfmVnN3d3REaGgqLxYIPP/wQERERAABXV1cAdy6+cevWLZSVlWHhwoVYt24dli5d6tA/0P9mzcrKwvLlyzFt2jSUlZXB3d0dLVu2xMGDB5GUlITx48cjISEBRUVF6NChg9NyWiwWvP3224iKisL69esxdOhQbN++HXFxcbhx4wYAYNu2bfDy8oKPj4/DclaV9eLFi3jrrbcwbdo0+Pr6ws/PD4DtxR42b96MZs2a6escmXX16tW4cuWKvmzQoEFYtmwZZs+ejQ0bNgC4e3ESb29vBAQEwMvLy+EXq6gqa8VyLi0tRXFxMVxcXNCiRQsAwFtvvYXQ0FCHvvmpKmf5m4aQkBC4uLggKioKBw8ehNlsRlRUFKKjo5GYmOiUN2lEdAe72/452d0Nl5Xdbf+c7G6ixo/dbf+c7O6Gy8rutn9OdjfZlXM+sK4mq9UqCxculDFjxujLioqKZO3atRIUFCRjx47Vl6elpUmvXr1k9uzZ4u7u7vBTe2rKGhAQIBMmTJC4uDgZN26c/PDDDyIi+qk+5aetOTtnYGCgvPjii1JQUCAjR44Uf39/MZlMEhoaKm3atJGff/7ZYTnvlTUoKEgmTpwopaWl0qdPH+nevbtMnTpVJk+e7JSsFy5ckNatW4umafLmm2/KtWvXbDIvXrxYNE2ThQsXyokTJ+TatWvyxhtviL+/v2RnZzearOXKysrk1q1b0qVLFzlx4oS8++670rx5c0lPT280OePi4kTTNOnQoYPNKZLLli2T8+fPOywnEdlidzs2J7u7/tjdjs/J7iZqnNjdjs3J7q4/drfjc7K7yR44OV5H4eHh0r9/f5tlxcXFsmHDBgkODpYFCxaIiMiRI0dE0zRp06aN077zqrqsX3zxhTz11FPy8ssvS05OTqXfK//+NkepKmdRUZFs2LBBnnjiCYmNjRURkUOHDsmqVaskPj5efv/9d4dmLFfT6x8UFCSxsbFSWFgoEydOlGHDhslLL70kmZmZDs1YWFgoU6dOlfDwcFm7dq1omibz5s2zea3Lyspk8+bNYjKZxNfXV3r27CkdO3aUjIyMRpG1qqIWEQkODpY+ffqIu7u7Q7+jrzY5z507J2+//bb+hqz8TS8ROR+7u+GxuxsWu9s5OdndRI0Xu7vhsbsbFrvbOTnZ3WQPnByvpfLi+uijj6Rv375y5swZm/X5+fkyf/58CQkJkdzcXMnPz5fnnntOTp482eiy5uXlybx586Rv375VlrSj1PY57d27t+Tm5joh4V11yVrxQjElJSUOzSly503DunXrJDExUUREtm3bVmVRi4hYLBZJS0uT5ORk+euvvxpV1ooFWFpaKtevXxej0SgGg0F++eWXRpmz4kU/HP1ml4gqY3c3PHa3fbC7nZeT3U3UuLC7Gx672z7Y3c7Lye6mhsbJ8Tr67bffpG3bthIRESEFBQU26y5fviwuLi6yc+dOERGnXCG7otpkTUpKck64ClTJKVK319+ZCgsLbW4nJiaKpmkyd+5cvVRKSkrkzz//dEY8GzVlLb8qeklJifz999+SnJwsv/76qzNi1piz/M1PWVmZZGVlOSMeEdWA3d3wVMkpwu62B3Y3Edkbu7vhqZJThN1tD+xuoupxcrwejhw5Ih4eHjJjxgybo1d///239O7dW1JSUpwX7j9UyapKThG1spaWlupHUrdu3aofdb106ZLMnj1bRo0aJYWFhY3iaOu9so4cOdLmCLGz1OY5bQw5iciWSvtuVbKqklNErazs7obH7iZSk0r7blWyqpJTRK2s7O6Gx+4mR+LkeD3t3btXPDw8ZOTIkbJlyxb59ddfZcGCBdK+fXu5ePGis+PZUCWrKjlF1MpqtVr17+FKTEwUNzc36dGjh7i6ujr8giX3Ul1Wg8HQqLKq9JwS0V0q7btVyapKThG1sqrUM+xuIrInlfbdqmRVJaeIWllV6hl2N5EtTUQEVC8ZGRl4/fXXYbFY4OrqCjc3N2zduhXBwcHOjlaJKllVyQmolbX8z1zTNDzzzDMwm81ITU1FUFCQk5NVpkpWVXISkS2V9t2qZFUlJ6BWVpV6RpWsquQkIlsq7btVyapKTkCtrCr1jCpZVclJauPk+H0qKCjAjRs3UFhYCJPJhLZt2zo7UrVUyapKTkCtrGVlZZg3bx5Wr14Ns9mMJ554wtmRqqVKVlVyEpEtlfbdqmRVJSegVlaVekaVrKrkJCJbKu27VcmqSk5Arawq9YwqWVXJSepydXYA1bVo0QItWrRwdoxaUSWrKjkBtbICQGBgIDIyMpQoE1WyqpKTiO5Sad+tSlZVcgJqZQXU6hlVsqqSk4juUmnfrUpWVXICamUF1OoZVbKqkpPUxE+OEzUhIgJN05wdo1ZUyapKTiIiUpNKPaNKVlVyEhGRmlTqGVWyqpKT1MTJcSIiIiIiIiIiIiJqclycHYCIiIiIiIiIiIiIyNE4OU5ERERERERERERETQ4nx4mIiIiIiIiIiIioyeHkOBERERERERERERE1OZwcJyIiIiIiIiIiIqImh5PjRERERERERERERNTkcHKc6D6lpqZC0zTk5eU5O8oDITY2Fn369IGPjw/atWuHESNG4Ny5czbbiAiio6Ph6+sLT09PPP300zh9+rS+/saNG4iMjESPHj3g5eWFTp06ISoqCvn5+Tbj5ObmIiwsDEajEUajEWFhYbV+Hf/66y+4u7ujZ8+e9/2Y6+L06dMYPXo0/Pz8oGkaVq9eXWmb6OhoaJpm82MymRyak4ioMWN3Nyx2d83Y3URE94/d3bDY3TVjdzctnBwnqqOnn34as2bN0m/369cPV65cgdFodF6oB0haWhpmzJiB77//HocOHUJpaSkGDx6MoqIifZsPPvgAK1euxNq1a/Hjjz/CZDIhNDQUN2/eBABcvnwZly9fxvLly3Hq1CkkJCQgOTkZL730ks19TZw4EWazGcnJyUhOTobZbEZYWFitciYkJGDs2LEoLi7Gt99+23BPwD0UFxfD398fS5curbF4AwMDceXKFf3n1KlTDstIRNTYsLvti91dM3Y3EVHdsbvti91dM3Z3EyNEVCeDBg2SmTNnOjtGk5GTkyMAJC0tTURErFarmEwmWbp0qb7NP//8I0ajUT777LNqx9m+fbu4u7tLSUmJiIhkZmYKAPn+++/1bb777jsBIGfPnq0xk9VqFX9/f0lOTpYFCxZIRESEzfqUlBQBILm5ufqyn3/+WQCIxWLRl61fv14efvhh8fT0lBEjRsiKFSvEaDTe6ynRPfroo7Jq1apKyxctWiS9evWq9ThERA86drdjsburx+4mIqoddrdjsburx+5+8PGT40R1EB4ejrS0NKxZs0Y/bSYhIcHm9K6EhAS0bNkS+/bt008vGjNmDIqKirBp0yb4+fmhVatWiIyMRFlZmT727du3MX/+fHTs2BHNmzdHSEgIUlNTnfNAG5HyU7Jat24NALBYLMjOzsbgwYP1bTw8PDBo0CAcP368xnFatGgBV1dXAMB3330Ho9GIkJAQfZunnnoKRqOxxnEAICUlBcXFxXj22WcRFhaG7du360fPa+vbb7/Fq6++ipkzZ8JsNiM0NBTvv/9+ncaoyYULF+Dr64vOnTtj/PjxyMrKarCxiYhUwu52PHZ3/bC7iYjuYHc7Hru7ftjdDwZXZwcgUsmaNWtw/vx5PP7443j33XcBwOY7t8oVFxfjo48+QmJiIm7evIlRo0Zh1KhRaNmyJQ4cOICsrCyMHj0a/fv3x7hx4wAAERER+OOPP5CYmAhfX18kJSVhyJAhOHXqFLp16+bQx9lYiAhef/119O/fH48//jgAIDs7GwDQvn17m23bt2+PP//8s8pxrl+/jvfeew+vvPKKviw7Oxvt2rWrtG27du30+6jOxo0bMX78eBgMBgQGBqJr167Ytm0bpk2bVuvH9vHHH2Po0KGYO3cuAKB79+44fvw49u3bV+sxqhMSEoLNmzeje/fuuHr1KmJiYtCvXz+cPn0abdq0ue/xiYhUwu52LHZ3/bC7iYjuYnc7Fru7ftjdDw5+cpyoDoxGI9zd3eHl5QWTyQSTyQSDwVBpu5KSEnz66acIDg7GwIEDMWbMGBw7dgwbN25EQEAAnn/+efzvf/9DSkoKAOD333/H1q1bsWPHDgwYMABdunTB3Llz0b9/f8THxzv6YTYar732Gn755Rds3bq10jpN02xui0ilZQBQUFCAYcOGISAgAIsWLapxjP+OExgYCG9vb3h7e2Po0KEAgLy8POzatQuTJ0/Wf2fy5MmIi4ur02M7d+4cnnzySZtlFW9fvHhRv29vb28sWbKk1mMPHToUo0ePRlBQEJ599lns378fALBp06Y6ZSQiehCwux2L3c3uJiK6X+xux2J3s7ubOn5ynMgOvLy80KVLF/12+/bt4efnB29vb5tlOTk5AICMjAyICLp3724zzr///ttkjzhGRkZi7969OHr0KB5++GF9efnFMLKzs9GhQwd9eU5OTqWj2jdv3sSQIUPg7e2NpKQkuLm52Yxz9erVSvd77do1fZwDBw6gpKQEAODp6QkA2LJlC/755x+b08JEBFarFZmZmQgICICLi4u+vFz5OBV/p6o3GuV8fX1hNpv12+Wnt9VH8+bNERQUhAsXLtR7DCKiBx27+/6xu9ndRESOxO6+f+xudjdxcpzILiqWAXDnSGlVy6xWKwDAarXCYDDgp59+qnREvGKxNwUigsjISCQlJSE1NRWdO3e2Wd+5c2eYTCYcOnQIwcHBAO58b1xaWhqWLVumb1dQUIDnnnsOHh4e2Lt3L5o1a2YzTt++fZGfn4/09HT9yPEPP/yA/Px89OvXDwDw6KOPVsq3ceNGzJkzB+Hh4TbLo6KiEBcXh+XLl+Ohhx4CAFy5cgWtWrUCAJvCBYCePXsiPT3dZtmJEyf0f7u6uqJr1641Ple19e+//+LMmTMYMGBAg4xHRPQgYnfXH7v7DnY3EZFjsbvrj919B7ubAE6OE9WZu7u7zQU9GkJwcDDKysqQk5PT5HekM2bMwJYtW7Bnzx74+Pjo30NmNBrh6ekJTdMwa9YsLFmyBN26dUO3bt2wZMkSeHl5YeLEiQDuHLkePHgwiouL8eWXX6KgoAAFBQUAgIceeggGgwGPPfYYhgwZgunTp+Pzzz8HALz88st4/vnn0aNHjyqzmc1mZGRk4KuvvkLPnj1t1k2YMAELFy5EbGwsunbtikceeQTR0dGIiYnBhQsXsGLFCpvtIyMjMXDgQKxcuRLDhw/HkSNHcPDgwSpPOavo9u3byMzM1P996dIlmM1meHt766U+d+5cDB8+HJ06dUJOTg5iYmJQUFCAKVOm1OWlICJ6YLC77Yvdze4mImpo7G77Ynezu6kCIaI6mT59uvTp00csFotcu3ZNDh8+LAAkNzdXRETi4+PFaDTa/M6iRYukV69eNsumTJkiL7zwgn570qRJ4ufnJzt37pSsrCxJT0+XpUuXyv79++37gBoZAFX+xMfH69tYrVZZtGiRmEwm8fDwkIEDB8qpU6f09SkpKdWOY7FY9O2uX78ukyZNEh8fH/Hx8ZFJkybpr2NVXnvtNQkICKhyXU5OjhgMBtm5c6eIiBw7dkyCgoKkWbNmMmDAANmxY0el+1+/fr107NhRPD09ZcSIERITEyMmk6nG58disVT5uAYNGqRvM27cOOnQoYO4ubmJr6+vjBo1Sk6fPl3juEREDzJ2t32xu9ndREQNjd1tX+xudjfdpYlU+LIdIrqn8+fPY8qUKTh58iRu3bqF+Ph4REREIDc3Fy1btkRCQgJmzZqFvLw8/Xeio6Oxe/dum1N8wsPDkZeXh927dwO4891YMTEx2Lx5My5duoQ2bdqgb9++WLx4MYKCghz7IMkppk+fjrNnz+Kbb75xdhQiogcKu5vshd1NRGQf7G6yF3Y3/Rcnx4mInGT58uUIDQ1F8+bNcfDgQcyZMweffPIJpk2b5uxoREREVAV2NxERkVrY3XQvnBwnInKSsWPHIjU1FTdv3oS/vz8iIyPx6quvOjsWERERVYPdTUREpBZ2N90LJ8eJiIiIiIiIiIiIqMlxcXYAIiIiIiIiIiIiIiJH4+Q4ERERERERERERETU5nBwnIiIiIiIiIiIioiaHk+NERERERERERERE1ORwcpyIiIiIiIiIiIiImhxOjhMRERERERERERFRk8PJcSIiIiIiIiIiIiJqcjg5TkRERERERERERERNDifHiYiIiIiIiIiIiKjJ4eQ4ERERERERERERETU5/wfqC09YWwcO2wAAAABJRU5ErkJggg==",
+            "text/plain": [
+              "<Figure size 1500x400 with 6 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "fig, axes = plt.subplots(1, 3, figsize=(15, 4))\n",
+        "\n",
+        "for i, ax in enumerate(axes):\n",
+        "    ds_avg[\"vel\"][i].plot(ax=ax, vmin=-1.5, vmax=1.5, cmap=\"RdBu_r\")\n",
+        "    ax.set_title(ds_avg[\"vel\"].coords[\"dir\"].values[i])\n",
+        "    ax.tick_params(axis=\"x\", labelrotation=45)\n",
+        "\n",
+        "plt.tight_layout()"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## 4. Calculate Speed and Direction\n",
+        "\n",
+        "Two additional variables that might be of interest, which are not automatically provided, are the magnitude of the horizontal velocity (referred to as `U_mag` or speed) and its direction (`U_dir`). These can be accessed via \"shortcut\" functions through the keyword `velds`, as demonstrated in the subsequent code block.\n",
+        "\n",
+        "For a comprehensive list of these \"shortcut\" functions, you can refer to the [DOLfYN documentation](https://dolfyn.readthedocs.io/en/latest/apidoc/dolfyn.shortcuts.html)."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 22,
+      "metadata": {
+        "scrolled": true
+      },
+      "outputs": [],
+      "source": [
+        "ds_avg[\"U_mag\"] = ds_avg.velds.U_mag\n",
+        "ds_avg[\"U_dir\"] = ds_avg.velds.U_dir"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Plotting"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Plotting can be accomplished through the user's preferred package. Matplotlib is shown here for simplicity, and flow speed and direction are plotted below with a blue line delineating the water surface level."
+      ]
+    },
     {
-     "data": {
-      "text/plain": [
-       "Text(0.5, 1.0, 'TKE Balance')"
+      "cell_type": "code",
+      "execution_count": 23,
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "<matplotlib.colorbar.Colorbar at 0x26b1487b9d0>"
+            ]
+          },
+          "execution_count": 23,
+          "metadata": {},
+          "output_type": "execute_result"
+        },
+        {
+          "data": {
+            "image/png": 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",
+            "text/plain": [
+              "<Figure size 800x500 with 2 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "%matplotlib inline\n",
+        "from matplotlib import pyplot as plt\n",
+        "import matplotlib.dates as dt\n",
+        "\n",
+        "ax = plt.figure(figsize=(8, 5)).add_axes([0.14, 0.14, 0.8, 0.74])\n",
+        "# Plot flow speed\n",
+        "t = dolfyn.time.dt642date(ds_avg[\"time\"])\n",
+        "plt.pcolormesh(t, ds_avg[\"range\"], ds_avg[\"U_mag\"], cmap=\"Blues\", shading=\"nearest\")\n",
+        "# Plot the water surface\n",
+        "ax.plot(t, ds_avg[\"depth\"], color=\"black\", label=\"Depth\")\n",
+        "\n",
+        "# Set up time on x-axis\n",
+        "ax.set_xlabel(\"Time\")\n",
+        "ax.xaxis.set_major_formatter(dt.DateFormatter(\"%H:%M\"))\n",
+        "\n",
+        "ax.set_ylabel(\"Altitude [m]\")\n",
+        "ax.set_ylim([0, 12])\n",
+        "plt.colorbar(label=\"Speed [m/s]\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 24,
+      "metadata": {
+        "scrolled": false
+      },
+      "outputs": [
+        {
+          "data": {
+            "image/png": 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",
+            "text/plain": [
+              "<Figure size 800x500 with 2 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "ax = plt.figure(figsize=(8, 5)).add_axes([0.14, 0.14, 0.8, 0.74])\n",
+        "# Plot flow direction\n",
+        "plt.pcolormesh(t, ds_avg[\"range\"], ds_avg[\"U_dir\"], cmap=\"twilight\", shading=\"nearest\")\n",
+        "# Plot the water surface\n",
+        "ax.plot(t, ds_avg[\"depth\"], color=\"black\", label=\"Depth\")\n",
+        "\n",
+        "# set up time on x-axis\n",
+        "ax.set_xlabel(\"Time\")\n",
+        "ax.xaxis.set_major_formatter(dt.DateFormatter(\"%H:%M\"))\n",
+        "\n",
+        "ax.set_ylabel(\"Altitude [m]\")\n",
+        "ax.set_ylim([0, 12])\n",
+        "plt.colorbar(label=\"Horizontal Vel Dir [deg CW from true N]\");"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Saving and Loading DOLfYN datasets\n",
+        "Datasets can be saved and reloaded using the `save` and `load` functions. Xarray is saved natively in netCDF format, hence the \".nc\" extension.\n",
+        "\n",
+        "Note: DOLfYN datasets cannot be saved using xarray's native `ds.to_netcdf`; however, DOLfYN datasets can be opened using `xarray.open_dataset`."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 25,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "# Uncomment these lines to save and load to your current working directory\n",
+        "# dolfyn.save(ds, 'your_data.nc')\n",
+        "# ds_saved = dolfyn.load('your_data.nc')"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## 7. Turbulence Statistics\n",
+        "\n",
+        "The next section of this jupyter notebook will run through the turbulence analysis of the data presented here. There was no intention of measuring turbulence in the deployment that collected this data, so results depicted here are not the highest quality. The quality of turbulence measurements from an ADCP depend heavily on the quality of the deployment setup and data collection, particularly instrument frequency, samping frequency and depth bin size.\n",
+        "\n",
+        "Read more on proper ADCP setup for turbulence measurements in: Thomson, Jim, et al. \"Measurements of turbulence at two tidal energy sites in Puget Sound, WA.\" IEEE Journal of Oceanic Engineering 37.3 (2012): 363-374.\n",
+        "\n",
+        "Most functions related to turbulence statistics in MHKiT-DOLfYN have the papers they originate from referenced in their docstrings.\n",
+        "\n",
+        "### 7.1 Turbulence Intensity\n",
+        "For most users, turbulence intensity (TI), the ratio of the ensemble standard deviation to ensemble flow speed given as a percent, is all most will need. In MHKiT, this can be simply calculated as `<raw dataset>.velds.I`, but be aware that this will be a conservative estimate. Another function, `turbulence_intensity`, is capable of subtracting instrument noise from this parameter and is discussed below. The noise-subtracted TI is more accurate and typically 1-2% lower than the non-noise-subtracted estimation.\n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 26,
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "<matplotlib.collections.QuadMesh at 0x26b14973fd0>"
+            ]
+          },
+          "execution_count": 26,
+          "metadata": {},
+          "output_type": "execute_result"
+        },
+        {
+          "data": {
+            "image/png": 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ffoq7774bdrsds2fPDnXxiIiIAsYPZ7acVt252bdvHyZOnIhf/OIXAIDevXtj8+bN+PTTT0NcMiIiImqtWvVlqcsuuwzvvfce/v3vfwMADhw4gD179uDnP/95g2lqa2tRVlZmmIiIiFobOXITzET+teqRm4cffhilpaUYMGAAzGYznE4n/vCHP+DWW29tMM2yZcuwePHic1hKIiKipuOj4C2nVY/cbNmyBX/+85/x8ssv47PPPsNLL72EJ554Ai+99FKDabKzs1FaWqpPx44dO4clJiIiolBr1SM3Dz74IObPn49bbrkFADBkyBD85z//wbJly3DnnXf6TWO1WmG1Wn3ClUgLILSnrMxm94LaauPcGq3OhdcTWY4aj8zU3rKQYTVVxjQWm28eLqdxLgmhzqor1awjLO5lJm3zOOvVeZ1DC1fLL2S4Z+/dez16HK0fW1+rzjt0dBeh+BtjHFe9MW2kVh9nHXzIdetpveoX6bEt6mqNabTfSq/BvvkShaOKn9S597ErzxXexzzgPqbkeavez3EI6OcFA898/MXx/K0fu4pWNO08Z9KObe1c5fe9uHKZIvyvx+O8oJ+3IIxxZL6xndS553na6XVe8R6x0Nfv59/rWtsqcZ3Vn/Xa+mM6qHPPc3tMLKCcu/8t8obiltOqOzdVVVUwmYw7q9ls5qPgRETU5vGyVMtp1Z2ba6+9Fn/4wx/Qq1cvDBo0CPn5+Vi5ciV+/etfh7poREREFIB58+Y1Oc0jjzyCzp07Nzp+q+7cPPXUU3j00UcxY8YMlJSUIDExEdOmTcPvfve7UBeNiIgoKO31slROTg4yMjJgsVjOHhnAnj17MHPmzPDp3MTGxiInJwc5OTmhLgoREVGzMikKTEH0UIJJG2pbt25F9+7dGxU3Nja2yfm36s4NERFRuGqvIzcbN26E3W5vdPxnn30W8fHxTVoHOzdERER0zjT0tHNDJk+e3OR1sHNDREQUAgqCfFrK32P5BKCVv8SPiIgoXCmm4KdwdeDAAZjNft7d1Ehh3DRERETUVgnh/aLHxuNlKSIiolAI8iV+bfaOYgA33njjGZeXlpYG1Tbs3BAREYVAe31aCgDefvttjBs3rsGnoJzen9xoInZuiIiI2pG1a9fi8ccfR1FREQYNGoScnByMHj3ab9w9e/bg4YcfxpdffomqqiokJydj2rRpmDt3rh4nNzcXd999t0/a6upq2Gw2v/kOHDgQv/zlLzFlyhS/ywsKCvDXv/41gNqp2LkhIiIKAXXkJphvSzU9zZYtWzBnzhysXbsWo0aNwrPPPosJEybg8OHD6NWrl0/8mJgYzJw5ExdeeCFiYmKwZ88eTJs2DTExMbjnnnv0eHFxcfjqq68MaRvq2ABAWloaPvvsswY7N1ar1W95GoudGyIiohAIxWWplStXYsqUKZg6dSoA9VMI27dvx7p167Bs2TKf+EOHDsXQoUP1371798brr7+O3bt3Gzo3iqIgISGh0eVYv379GS89DRw4EEePHm10ft74tBQREVEbVlZWZphqa2v9xnM4HNi/fz8yMzMN4ZmZmdi7d2+j1pWfn4+9e/di7NixhvCKigokJyejZ8+euOaaa5Cfn3/GfKxWK6Kjoxu1zkC0q5EbUVUBAFDMke4w7VEzxVmvBjjr1LlZaxqHtpP46yJraYWjxhCseC0HAJi05/VlT1W4tPzVtEqkxXc99VpZ6h2GZUKWVebhcvmWrV6LE2Ex5iHrhTp3XJdWTpNct2JM44/+ggVhLIPLaayH02M9ento8zo1f1F0RFufFjfS6meFwpiH9/ZQ/LwPQWsfRctPOKqNac3uj7Yp3QIf/qRWqqpUnddpx7B+vGr7Qb37fwCKzevbNTKutj8r1igtose/B11e/+o0NeKdHN77rTwfmLR8XV7HtkdZ9J/asabI9cm4nvFkOb3XJ1wN/la8yyBp9RT6mc1jPTJ9A0MI8lxreKRXTyPXZzxnKLYYLdyjrPp5RDs3yHOgTCvTRLjP7ZDnVLluGbdzF3Uu2y8mzp2mvBSoD+5G1qZorm9LJSUlGcIXLlyIRYsW+cQ/ceIEnE6nz0288fHxKC4uPuO6evbsiR9//BH19fVYtGiRPvIDAAMGDEBubi6GDBmCsrIyrF69GqNGjcKBAwfQr18/n7zKysoQFxfnE96Q8vLyJn9fql11boiIiFqL5rosdezYMUNnwWr19w9Ez3TGlQohznrvz+7du1FRUYGPPvoI8+fPx/nnn49bb70VAJCeno709HQ97qhRo3DJJZfgqaeewpo1a3zy6tSpE4qKihr94czzzjsPBQUF6NOnT6PiA+zcEBERhYQS5HtuZNq4uLhGjYR07doVZrPZZ5SmpKTkrB+mTElJAQAMGTIEP/zwAxYtWqR3bryZTCYMHz4cR44c8btcCIHnn38eHTp0OGuZAaCuru7skbywc0NERNQOWCwWpKWlIS8vDzfccIMenpeXh4kTJzY6HyFEg/f1yOUFBQUYMmSI3+W9evXCc8891+j1JSQkIDIy8uwRPbBzQ0REFAKheFpq3rx5yMrKwrBhw5CRkYENGzagsLAQ06dPBwBkZ2fj+PHj2LRpEwDgmWeeQa9evTBgwAAA6ntvnnjiCcyaNUvPc/HixUhPT0e/fv1QVlaGNWvWoKCgAM8884zfMnz33XdNL3gTsXNDREQUAqHo3EyaNAknT57EkiVLUFRUhMGDB2Pbtm1ITk4GABQVFaGwsFCP73K5kJ2djaNHjyIiIgJ9+/bF8uXLMW3aND3O6dOncc8996C4uBh2ux1Dhw7Frl27cOmllwZeuSCxc0NERNSOzJgxAzNmzPC7LDc31/B71qxZhlEaf1atWoVVq1Y1V/GaBTs3REREIaCYFCimIG4oFm3441ItjJ0bIiKiEGjPH85saXxDMREREYUVdm6IiIhCQL6hOJiprevduzeWLFliuIm5ObBzQ0REFALyslQwU1t3//33480330SfPn0wbtw4vPLKK2d8h05jsXNDREREITFr1izs378f+/fvR2pqKu677z706NEDM2fOxGeffRZwvuzcEBERhYD8/EIwU7i46KKLsHr1ahw/fhwLFy7E888/j+HDh+Oiiy7Ciy++aPz4aiPwaSkiIqIQUBDk01LNVpLQq6urw9atW7Fx40bk5eUhPT0dU6ZMwffff48FCxbg3Xffxcsvv9zo/Ni5ISIiCoHm+nBmW/bZZ59h48aN2Lx5M8xmM7KysrBq1Sr9cw8AkJmZiTFjxjQpX3ZuiIiIKCSGDx+OcePGYd26dbj++uv9fiAzNTUVt9xyS5PybTedG1FfB6VTZ/VvR417gcuphplcAABFqHNEaZ9id/r51LridatSbbU6t1jVeYRFnddUuuNYo9R5dYU6j7Tp5QIAxaptUJfLYz1ar9xkVuPqy7Rrj7KsTqdvGS1q/qh3qPM6h7FeLs/rl9rfMnv5xkyZJsLqm7/eLlpcs9euJK+P1tf71kfWw2Qyll+2Y6TFnUbGlflp20u2ib5ez+0kl8ltK9tAtpfexO40ovhrY1kitO3hlOXX1m/2OPC8l0kyjlxfvUfZZD1kGWUcWQ8Z17M99fRaWof2JEGE7+ErSk8Y8hf78tTffbV/BRV+q86Lv3enqaoCAHyeuxsAMPi2dACA0rGjuvrDRwAANd/96FEktdwdH7lPXV3aleqC8p/UuS1GK6O7vcRPxVq+3dUA+Y/OilJ1LvdNT2atnSLV40fR9hn9uNHyF073fqbIttP3A+P+pshwS7R7PXI7aIUS2r6j/8tYbjfhsT/70OLIfUimNfzrWjHG9U6rH5eK7zKZr0srg6yHvi955CmcxjDtnKXXy3v/g+f5RSOPtaZc/PDOw6ee8D1/yjIo2naLVvcD4Xn+1PZ5Re5X2rnJXR+TV5kBJSpWjVNVZlxfpy7qXJ4jPY+j+nrjOaulBfvEU9sfuMG3336rf9eqITExMdi4cWOT8uUNxURERCHAG4qBK664AidPnvQJP336NPr06RNwvuzcEBERUUh89913cPq5+lBbW4vjx48HnG+7uSxFRETUmigm36t0TU3fVr311lv639u3b4fdbtd/O51OvPfee+jdu3fA+bNzQ0REFALt+Wmp66+/HoBahzvvvNOwLDIyEr1798aTTz4ZcP7s3BAREdE55dJuPk9JScEnn3yCrl27Nmv+7NwQERGFgklxP50aaPo27ujRoy2SLzs3REREoRDs1y/b6GWpNWvW4J577oHNZsOaNWvOGPe+++4LaB3s3BAREYVAe73nZtWqVbjttttgs9mwatWqBuMpisLODREREbV+npeiWuqyVBt+kIyIiKgNk/fcBDOFGafTiYKCApw6dSqofNi5ISIiCgV5z00wUxs3Z84cvPDCCwDUjs2YMWNwySWXICkpCR988EHA+bJzQ0RERCHxl7/8BRdddBEA4O2338Z3332HL7/8EnPmzMGCBQsCzpedGyIiohBQTErQU1t34sQJJCQkAAC2bduGX/3qV+jfvz+mTJmCQ4cOBZwvOzdEREShwMtSiI+Px+HDh+F0OvHOO+/gqquuAgBUVVXBbDYHnC+fliIiIqKQuPvuu3HzzTejR48eUBQF48aNAwB8/PHHGDBgQMD5snNDREQUAooS3KWltvqeG0+LFi3C4MGDcezYMfzqV7+C1WoFAJjNZsyfPz/gfNtV50a4nPIPd6DXziG0T6/LUFFfp/5h9mgqpxomyrVH1SzqxlCiYtXwmkotb4+rfiaTcd1RcercUWMMr61yp7FGqXOX1+fgtW9y6Glc9e7y19VqZelgTBMRafztrw1kmFC81q/lb/IYIjRp7VGnlV+vn/Baj0fZZfp6hzqXn7mPFMZyyDYHAGe9Vxm1uNo2gClaK6PHerzbR65Xrk9uS6e73fR89TaIMOYrt6XnejzTe8ZBnVc9PPYxWe4Ii3F9Pss9tpeMU6e2m6guV3O1xRjL7lEGUfaT+ruyQg3u2F0NP1mihl+Q6k7zyUcAAItFTes6oe7X5s6d1aIM6KuGf1OiJzFpJ2SlUzc1oPRHNf8qbX2yTJ77oXd7ae2i77ORWpt4bn+ZXmt3/RiWx0lER/jw2gdlGkW2o1ltW1Ff6xFJq4/XcSq0fUmJtGrhHhnLssj9S65X7t9yf4jwPHd47et6uDw3+Vmu75tOw3r1esn92XBMa/uBFub7P0GZp0eFZHrv84G+XPEpm749ZJjLuI2Fy+RbH2/yHGhVj2W5XwsZDgDy8oTXecCnXp77mCxbZZk6j9b2Jbm9tOMJHdxfoz7nj1e30zcUe7vpppt8wrw/ptlU7apzQ0RERK3Le++9h/feew8lJSX6BzWlF198MaA82bkhIiIKBROC/HBms5UkZBYvXowlS5Zg2LBh+n03zSEMmoaIiKjtkd+WCmYKxNq1a5GSkgKbzYa0tDTs3r27wbh79uzBqFGj0KVLF0RFRWHAgAF+vwf12muvITU1FVarFampqdi6dWujyrJ+/Xrk5ubi448/xhtvvIGtW7capkCxc0NERBQKIfj8wpYtW/QX5OXn52P06NGYMGECCgsL/caPiYnBzJkzsWvXLvzrX//CI488gkceeQQbNmzQ4+zbtw+TJk1CVlYWDhw4gKysLNx88834+OOPz1oeh8OBkSNHNrkeZ8PODRERUTuxcuVKTJkyBVOnTsXAgQORk5ODpKQkrFu3zm/8oUOH4tZbb8WgQYPQu3dv3H777Rg/frxhtCcnJwfjxo1DdnY2BgwYgOzsbFx55ZXIyck5a3mmTp2Kl19+ubmqp+M9N0RERKHQTE9LlZWVGYKtVqv+SLUnh8OB/fv3+zxinZmZib179zZqlfn5+di7dy8ee+wxPWzfvn2YO3euId748eMb1bmpqanBhg0b8O677+LCCy9EZKTxyd6VK1c2qlze2LkhIiIKAcVkfGNIIOkBICkpyRC+cOFCLFq0yCf+iRMn4HQ6ER8fbwiPj49HcXHxGdfVs2dP/Pjjj6ivr8eiRYswdepUfVlxcXFAeQLAwYMHcfHFFwMAPv/8c8OyYG4uZueGiIioDTt27Bji4uL03/5GbTx5dxqEEGftSOzevRsVFRX46KOPMH/+fJx//vm49dZbg8oTAN5///2zxgkEOzdERESh0EyXpeLi4gydm4Z07doVZrPZZ0SlpKTEZ+TFW0pKCgBgyJAh+OGHH7Bo0SK9c5OQkBBQnp6+/vprfPPNNxgzZgyioqIa3TlqCG8oJiIiCoFz/VVwi8WCtLQ05OXlGcLz8vKa9MSSEAK1te43fGdkZPjkuWPHjkblefLkSVx55ZXo378/fv7zn6OoqAiAeqPx/fff3+gyeWPnhoiIqJ2YN28enn/+ebz44ov417/+hblz56KwsBDTp08HAGRnZ+OOO+7Q4z/zzDN4++23ceTIERw5cgQbN27EE088gdtvv12PM3v2bOzYsQMrVqzAl19+iRUrVuDdd9/FnDlzzlqeuXPnIjIyEoWFhYiOjtbDJ02ahHfeeSfgerb6y1LHjx/Hww8/jL///e+orq5G//798cILLyAtLS3URSMiIgpcCL4tNWnSJJw8eRJLlixBUVERBg8ejG3btiE5ORkAUFRUZHjnjcvlQnZ2No4ePYqIiAj07dsXy5cvx7Rp0/Q4I0eOxCuvvIJHHnkEjz76KPr27YstW7ZgxIgRZy3Pjh07sH37dvTs2dMQ3q9fP/znP/9pcv2kVt25OXXqFEaNGoUrrrgCf//739G9e3d888036NixY6iLRkREFJxgP9QZYNoZM2ZgxowZfpfl5uYafs+aNQuzZs06a5433XST3w9gnk1lZaVhxEY6ceLEWW+MPpNW3blZsWIFkpKSsHHjRj2sd+/eZ0xTW1truBbo/fw/ERERtQ5jxozBpk2b8Pvf/x6A+tSVy+XC448/jiuuuCLgfFv1PTdvvfUWhg0bhl/96lfo3r07hg4diueee+6MaZYtWwa73a5P3s//ExERtQah+rZUa/L444/j2WefxYQJE+BwOPDQQw9h8ODB2LVrF1asWBFwvgF3bnbv3o3bb78dGRkZOH78OADgT3/6E/bs2RNwYbx9++23WLduHfr164ft27dj+vTpuO+++7Bp06YG02RnZ6O0tFSfjh071mzlISIiajYh+LZUa5OamoqDBw/i0ksvxbhx41BZWYkbb7wR+fn56Nu3b8D5BnRZ6rXXXkNWVhZuu+025Ofn65eBysvLsXTpUmzbti3gAnlyuVwYNmwYli5dCkD9xsUXX3yBdevWGe7m9tTQa6chBFBfp/5tMuvBSoT6qmfhqFEDtN9wqHVSLDZ1ubPencaspZe95kibllZrTvnayDqHO020+g4CIZe5XMY8hPApmx4mueqNv2V9HO7LcPq6hcuYn0dZfMiy1Gn5RMUY1y/LKON55utZXs/1miONaQHAWWeMK3/XVmtpZF4eaWR62f7e21DWS3iUzWx8fbe+TNZH5mV4Nai2rN7hVRa52CutIa62PuGUBVBnLqfvevT61BnLb1WvOYuaKjWa3KcAd129X5Il09ZUeuTvtf3lPinL0rGLOvfYZ5QOHQAAPRLU7W6K9br+rb0OvbrGXff6OjV/e6R6rAltG4ryk4b6KdYo93pi7MayKWZDWeTeLo9JQ7n1fUeLVau2E7TjytAGMkzuR1oewqS2jaLvK+72VBraj+X21vZ9UVfjm0Y/PmRSud3VAMXp539AsrLafiVcxvUYjythXKYY6yV/i3qP8422XWS76WcSWQ/52+lxXjBbjGFOY/4eqTwoxvK6vI41/XzndCeR21KGyX3REmXMS54XPOPK/Uxuf62einfbeOajncPh0soU10lbr7otlQ52PYmornC3wzkR5A3FaPudm8LCQiQlJWHx4sV+l/Xq1SugfAMauXnsscewfv16PPfcc4bvQIwcORKfffZZQAXxp0ePHkhNTTWEDRw4sMGvlxIREVHbkZKSgh9//NEn/OTJk/qLAwMR0MjNV199hTFjxviEx8XF4fTp0wEXxtuoUaPw1VdfGcL+/e9/64+sERERtVXB3jcTDvfcNPQm4oqKCthsNj8pGiegzk2PHj3w9ddf+zy5tGfPHvTp0yfgwnibO3cuRo4ciaVLl+Lmm2/GP//5T2zYsAEbNmxotnUQERGFRIgeBW8N5s2bB0DtoD366KOGx8GdTic+/vhj/YOagQioczNt2jTMnj0bL774IhRFwffff499+/bhgQcewO9+97uAC+Nt+PDh2Lp1K7Kzs7FkyRKkpKQgJycHt912W7Otg4iIiM6t/Px8AOrIzaFDh2CxuO91slgsuOiii/DAAw8EnH9AnZuHHnoIpaWluOKKK1BTU4MxY8bAarXigQcewMyZMwMujD/XXHMNrrnmmmbNk4iIKNTa82Up+TXwu+++G6tXr27Uhz+bIuCX+P3hD3/AggULcPjwYbhcLqSmpqKD9tQFERERnUU7viwleb6ktzkF9Ybi6OhoDBs2rLnKQkRERO1IZWUlli9fjvfeew8lJSVweb5yBOr77gIRUOfmhhtu8DscpigKbDYbzj//fEyePBkXXHBBQIUiIiIKeyH4cGZrM3XqVOzcuRNZWVno0aNHs11qC6hzY7fb8cYbb6Bjx45IS0uDEAL5+fk4ffo0MjMzsWXLFqxYsQLvvfceRo0a1SwFJSIiCieKSYESxKWlYNK2Fn//+9/xt7/9rdn7CgF1bhISEjB58mQ8/fTTMGlv/XS5XJg9ezZiY2PxyiuvYPr06Xj44Yeb9XMMREREFD46deqEzp07N3u+Ab2h+IUXXsCcOXP0jg0AmEwmzJo1Cxs2bICiKJg5cyY+//zzZisoERFRWJGXpYKZ2rjf//73+N3vfoeqqqpmzTegkZv6+np8+eWX6N+/vyH8yy+/hFP7HonNZmvTj6kRERG1KBOCfFqq2UoSMk8++SS++eYbxMfHo3fv3oZPOgEI+JNOAXVusrKyMGXKFPz2t7/F8OHDoSgK/vnPf2Lp0qX6By137tyJQYMGBVQoIiKicNee33MjXX/99S2Sb0Cdm1WrViE+Ph5//OMf8cMPPwAA4uPjMXfuXDz88MMAgMzMTFx99dXNV1IiIiIKKwsXLmyRfAPq3JjNZixYsAALFixAWVkZAPi8XTDQz5QTERG1C3yJX4sJ6iV+gG+nhoiIiBqhHb/nplOnTo26rPbTTz8FlH9AnZsffvgBDzzwgP5GQSGEYbm8qbhVES7AWQcAUKLcn4kQtdVqmEX7tLrW2KJWvXNbsapfKlVMZneaejUfyDRm7QYoR63xd53DvX6b9sXTE1pYlLa6qFj1D5fTXU7JMz0AyHZ21RvTmN1lUyItxriKdsdZhLxJS9uZhOc20sIirVq+wqss8q41j+0sFGMc4ZVGltGj3fTyyjA5l2nlfqPUoUF6Ownjb2uUO069th1M2u4tt5d8us+plU3xrI/LGFfmp7ej1/o9yyvJA1Xbz9z18TiAZX5yO8ntoreby/gbAOrV/UDUVBrXp4Xrc8C978lyduuhpq1UR1hhizKuHwCi1DBzVKSx3F27q/Nqdb3R0e7TRUSslo/WTqL0hPq7pEid94pRwytOw5tii9HqKLe71l5KlE89Fe99pbpCjaMdG+6WdW9LoW1/Pa1sS6c2j9SO27paj9TCmEa2n9we+jZ175vCa59XIryOPe0YEJ5vXPUqk2KOMJZF/nZ6bFOv86u+fbSo+qFc71E27/3AO608FjzS6MeLd53lOQRa2R017jSyzt71kGlkHtp5Vo2rlU2ea7V9U+nQ0VjWWvfTM/p5ulO8sV5yfXKfsVjd6eV2l22unxu18CptX/I8rlwud/2pReXk5LRo/gF1bu666y4UFhbi0UcfbdY3ChIREbUb7Xjk5s4772zR/APq3OzZswe7d+/GxRdf3MzFISIiai+CfVdN2+3ctLSAnpJPSkryuRRFRERE1BoE1LnJycnB/Pnz8d133zVzcYiIiNoJkyn4ifwK6LLUpEmTUFVVhb59+yI6OtrnjYKB3t1MRETUbrTje25aWkCdm5a+y5mIiIjaD4fDgaNHj6Jv376IiAj6LTWBdW5a+i5nIiKisMeRG1RVVWHWrFl46aWXAAD//ve/0adPH9x3331ITEzE/PnzA8o36At21dXVKCsrM0xERER0FvwqOLKzs3HgwAF88MEHsNlsevhVV12FLVu2BJxvQCM3lZWVePjhh/Hqq6/i5MmTPstb5Uv8iIiIWpNgbwoOgxuK33jjDWzZsgXp6emGd+alpqbim2++CTjfgFrmoYcewj/+8Q+sXbsWVqsVzz//PBYvXozExERs2rQp4MIQERFR+/Hjjz+ie/fuPuGVlZVBvSA4oM7N22+/jbVr1+Kmm25CREQERo8ejUceeQRLly7F//7v/wZcGCIionYjRJel1q5di5SUFNhsNqSlpWH37t0Nxn399dcxbtw4dOvWDXFxccjIyMD27dsNcXJzc6Eois9UU1PTQK5uw4cPx9/+9jePJlHr9NxzzyEjIyOg+gEBXpb66aefkJKSAkD9cKZ89Puyyy7D//zP/wRcGCIionYjBDcUb9myBXPmzMHatWsxatQoPPvss5gwYQIOHz6MXr16+cTftWsXxo0bh6VLl6Jjx47YuHEjrr32Wnz88ccYOnSoHi8uLg5fffWVIa3nPTQNWbZsGa6++mocPnwY9fX1WL16Nb744gvs27cPO3fubHL9pIBGbvr06aO/wC81NRWvvvoqAHVEp2PHjgEXhoiIiJrG+6Ge2traBuOuXLkSU6ZMwdSpUzFw4EDk5OQgKSkJ69at8xs/JycHDz30EIYPH45+/fph6dKl6NevH95++21DPEVRkJCQYJgaY+TIkfjwww/1d+ft2LED8fHx2LdvH9LS0hrfCF4C6tzcfffdOHDgAAD1Tmd5783cuXPx4IMPBlwYIiKidqOZLkslJSXBbrfr07Jly/yuzuFwYP/+/cjMzDSEZ2ZmYu/evY0qssvlQnl5OTp37mwIr6ioQHJyMnr27IlrrrkG+fn5jW6GIUOG4KWXXsLnn3+Ow4cP489//jOGDBnS6PT+NPmyVF1dHd566y08++yzAIArrrgCX375JT799FP07dsXF110UVAFIiIiahea6WmpY8eOIS4uTg+2Wq1+o584cQJOpxPx8fGG8Pj4eBQXFzdqlU8++SQqKytx880362EDBgxAbm4uhgwZgrKyMqxevRqjRo3CgQMH0K9fvzPmt23bNpjNZowfP94Qvn37drhcLkyYMKFR5fLW5M5NZGQkPv/8c8NdzL169fJ7ra41UWwdgErtsxAxHd0LaioBACLSov6WHwS1qNcKhbYcwuVOI+Mo2k5ZW22Iq1i0HcvkcT3UWa/GqVeHC5XqCjU8KkadyzcyanmpZdA+a2HW5rLN5e/6CkNZDWQcV71X+YWhPIa4+kHmVb/6Oi2e2Z1GaGWpc2hptWXCK/8Ij09zyFcERFiN+ct8zVobyLYBgKhYmdi4HsXrhOBZH1kms5ZG37Zeyz3bTdbRpaVxaZHrtbgRFp/1CG2Zomj10euu5iXO8EoERdZZrlceiXL9Hm0g5DprqrS4XoetZ1vUanG0dlL6DFDzcKg39inWaPV3+Sl3mi7dAADlJ9W00dqlZXH4czVNrLoNykod7iRd1DAlqoMxv8py9Xel+r4rJdKjjeW+3am7se5a2dChoxbusS299idx+kdD1YXcr10ebe3QhuTlfqYv89qmLs/1mDxjAC4tX31b1hvKYYgjjxtThDHfOlkOj2NAGI8TvfyyLeQx7vI433jT89fiyP0bHh8zrqv2qofWBnIbyHOU3KcAINJqTOPwurQhz4mV7neZKTbt/CXPY7I+cpvKenrsb4qMo+23okJdpnTrqZVVa3PP9ZedVsPKtFePyG2o7V+i/Lj6u7PHpRCXV/to69X32Wqt7p5t0Ea/1xQXF2fo3JyN91NIQohGPZm0efNmLFq0CG+++abhCaf09HSkp6frv0eNGoVLLrkETz31FNasWXPGPOfPn4/ly5f7hAshMH/+/IA7NwFtxTvuuAMvvPBCQCskIiIinPOnpbp27Qqz2ewzSlNSUuIzmuNty5YtmDJlCl599VVcddVVZ4xrMpkwfPhwHDly5KxlOnLkCFJTU33CBwwYgK+//vqs6RsS0NNSDocDzz//PPLy8jBs2DDExMQYlq9cuTLgAhEREbULCoJ8Wqpp0S0WC9LS0pCXl4cbbrhBD8/Ly8PEiRMbTLd582b8+te/xubNm/GLX/zirOsRQqCgoKBR983Y7XZ8++236N27tyH866+/9ulbNEVAnZvPP/8cl1xyCQD1OxCegnnpDhEREbWcefPmISsrC8OGDUNGRgY2bNiAwsJCTJ8+HYD6kNDx48f1F/Ju3rwZd9xxB1avXo309HR91CcqKgp2ux0AsHjxYqSnp6Nfv34oKyvDmjVrUFBQgGeeeeas5bnuuuswZ84cbN26FX379gWgdmzuv/9+XHfddQHXM6DOzfvvvx/wComIiAghec/NpEmTcPLkSSxZsgRFRUUYPHgwtm3bhuTkZABAUVERCgsL9fjPPvss6uvrce+99+Lee+/Vw++8807k5uYCAE6fPo177rkHxcXFsNvtGDp0KHbt2oVLL730rOV5/PHHcfXVV2PAgAHo2VO97+q///0vRo8ejSeeeKLJ9ZOC/644ERERNZliMkEJ4gbmQNPOmDEDM2bM8LtMdlikDz744Kz5rVq1CqtWrQqoLHa7HXv37kVeXh4OHDiAqKgoXHjhhRgzZkxA+Uns3BAREYVEsF/2Do/bQBRFQWZmps/7d4LBzg0RERGFzHvvvYf33nsPJSUlcHm9BuHFF18MKE92boiIiEIhBPfctDaLFy/GkiVLMGzYMPTo0aPZHkpi54aIiCgU2LnB+vXrkZubi6ysrGbNt+29ipGIiIjCgsPhwMiRI5s9X3ZuiIiIQkF+7iGYqY2bOnUqXn755WbPl5eliIiIQoGXpVBTU4MNGzbg3XffxYUXXojIyEjD8kC/eMDODREREYXEwYMHcfHFFwNQv37gKZibi9m5ISIiCgWO3LTYFw/a/gU7IiKitugcfxW8Nfv666+xfft2VFdXA1A/vhkMdm6IiIgoJE6ePIkrr7wS/fv3x89//nMUFRUBUG80vv/++wPOt31dljJp1TWb3WGK1r+rrTZEVaI6AAD0vmN1pXthhJaPScvHYlXTuOq1tLFqWpdHz9NRo87LT2vLnGrcbucZyxHh9CiE1iuPkDdYefXSnXXqXFjcYWbjzVioc2hltBnDzR6bXt5xL+dOrQyyfpGKMS9/69Hqg3qtTLI+nm2g18OrRy7T+ONsYJnchrJMwv1WS1FXqxZBtl91hbZ+izFPz3bTyi+0/UCJjtPiyrbQlnvuBzIf2U7aXMgyebcJAFijjOuRZZL7hyxHjcd6ZL5amBLbyZBGyLSeaqrUudxOVVobaPsmyk55xFXLUlqmljt23xcAgOhLzlfzr1f365gY9za3dI8zrM7UPUktfslxNaCiVJ3HddHjiKoytfzyDaRONV/5LzSlXCuTML6hFACE1zL5W5F19/xXnnYcinqv7SDXJ88Dhv3Z65iWaWUcc60xL3UFhrTymIa2/8GhzRWPf0N6/2NUtoWss5/9WV+nti1FVbmWrdzv7FoaP+cbk/E40fchbd8VHm2gaO2Deq3cMo7cPvKY09bvd5m2Xwttn1e0Y15Uu9PIY0Avm9wX62oMafVtAADVVVrdtX1I7teKw1gOz2NBHv9yO0Rqx1qMtu/+WKSt12M9Tqf7mD8Xgn3iKQyelpo7dy4iIyNRWFiIgQMH6uGTJk3C3Llz8eSTTwaUb/vq3BAREbUWvOcGO3bswPbt2/Uvgkv9+vXDf/7zn4DzZeeGiIgoFNi5QWVlJaKjo33CT5w4AavVGnC+bX9Mi4iIiNqkMWPGYNOmTfpvRVHgcrnw+OOP44orrgg4X47cEBERhQLvucHjjz+Oyy+/HJ9++ikcDgceeughfPHFF/jpp5/w4YcfBpxv228ZIiKitkhBkI+Ch7oCwUtNTcXBgwdx6aWXYty4caisrMSNN96I/Px89O3bN+B8OXJDREREIZOQkIDFixc3a57s3BAREYVCO72h+ODBg42Oe+GFFwa0DnZuiIiIQqGddm4uvvhiKIpy1rcQK4oCZ4DvHWLnhoiIiM6Zo0ePtvg62LkhIiIKBSXIp6WUtvlMUHJycouvg50bIiKiUGinl6U8eb7jxp877rgjoHzbVOdm2bJl+O1vf4vZs2cjJycn1MUhIiKiIMyePdvwu66uDlVVVbBYLIiOjg7/zs0nn3yCDRs2BHznNBERUavCkRucOnXKJ+zIkSP4n//5Hzz44IMB59smLthVVFTgtttuw3PPPYdOnTqdMW5tbS3KysoMExERUaujmIKfwlC/fv2wfPlyn1GdpmgTLXPvvffiF7/4Ba666qqzxl22bBnsdrs+JSUlnYMSEhERNZFJCX4KU2azGd9//33A6Vv9ZalXXnkFn332GT755JNGxc/Ozsa8efP032VlZezgEBERtUJvvfWW4bcQAkVFRXj66acxatSogPNt1Z2bY8eOYfbs2dixYwdsNluj0lit1oY/kx5pUed1DneY2azOnXUAAFFbrf2uN6aV8fyF1WkvGerQUZ3L66AR7uYVNZXqHw5t3Wav9dhi1Hm9R9lMXptH5ltfq86tUdp6LO44wmWMG+mxDHAPYxrG7LS48n1K+nVcuT6Hb16y7pYGtotc7vJoR6/rw8JRo5XFpC02GctoKKJiSKNERBp/x8S541ZXaCtQKyTq6zxrA5jkdvNoay0/PUy2oyS3n+f28Yoj5DJtX9Lr4e9FVXK7m9VtLPc7UXZSq09Hd1xXrTGtbDctX8Vju+htqr34SpT9pP62WI1ls3d251euXrqNjFTLW/TdaQBAovlbAEDU0PMBANFJ7kvCzmq1rhGuBl6wVauWWVR5XBaWZZPtVGdsL1Gj5aVtLwBQ7F3VP7RtKsq16/OlPxnz8ti3REWpGhSh1dmlbSe5vWQ55DYFgOhYLY62z1SWGfJXtP1ZVHukkfutPO6dsj7qttX3TXiQx4s8LuQ+4tUWnseVXhZ9H9Xatl7NQ4nqYKwX3O2uRGn1kttJaxshzx2eZBxHraH80NYj6y6qy/Uksm5Ctq3c17VtKLzPowAgt6E8R5wsUeNq+747Xqn7b7m9O3VR4zZQduGxPyqRWhtGdzCUSW9z2daRHdz51Ff6HvstKdhLS2FwWer66683/FYUBd26dcPPfvYzPPnkkwHn26o7N/v370dJSQnS0tL0MKfTiV27duHpp59GbW0tzP46HURERK0dbyiGy9UynclW3e278sorcejQIRQUFOjTsGHDcNttt6GgoIAdGyIioiZau3YtUlJSYLPZkJaWht27dzcY9/XXX8e4cePQrVs3xMXFISMjA9u3b/eJ99prryE1NRVWqxWpqanYunVrk8slhDjrJxkaq1V3bmJjYzF48GDDFBMTgy5dumDw4MGhLh4REVHgTKbgpybasmUL5syZgwULFiA/Px+jR4/GhAkTUFhY6Df+rl27MG7cOGzbtg379+/HFVdcgWuvvRb5+fl6nH379mHSpEnIysrCgQMHkJWVhZtvvhkff/xxo8r0wgsvYPDgwbDZbLDZbBg8eDCef/75JtfNU6u+LEVERBS2QnBZauXKlZgyZQqmTp0KAMjJycH27duxbt06LFu2zCe+9wtzly5dijfffBNvv/02hg4dqscZN24csrOzAagP9uzcuRM5OTnYvHnzGcvz6KOPYtWqVZg1axYyMjIAqJ2luXPn4rvvvsNjjz3W5DoCbbBz88EHH4S6CERERK2G9/vcGnqwxuFwYP/+/Zg/f74hPDMzE3v37m3UulwuF8rLy9G5s/uhBNkZ8TR+/PhGfUlg3bp1eO6553DrrbfqYddddx0uvPBCzJo1K+DOTau+LEVERBS2muklfklJSYb3u/kbgQGAEydOwOl0Ij4+3hAeHx+P4uLiRhX5ySefRGVlJW6++WY9rLi4OOA8nU4nhg0b5hOelpaG+no/T9s1UpsbuSEiIgoLCoK8LKXOjh07hrg49+swGnwdikzm/VoOIXzC/Nm8eTMWLVqEN998E927d2+WPG+//XasW7cOK1euNIRv2LABt91221nTN4SdGyIiojYsLi7O0LlpSNeuXWE2m31GVEpKSnxGXrxt2bIFU6ZMwf/93//5fC0gISGhSXl6vmhXURQ8//zz2LFjB9LT0wEAH330EY4dOxbwRzMBdm6IiIhCI8Anngzpm8BisSAtLQ15eXm44YYb9PC8vDxMnDixwXSbN2/Gr3/9a2zevBm/+MUvfJZnZGQgLy/PcN/Njh07MHLkSL/5eT5pBUB/l90333wDAOjWrRu6deuGL774ovGV88LODRERUSiE4GmpefPmISsrC8OGDUNGRgY2bNiAwsJCTJ8+HYD6pNPx48exadMmAGrH5o477sDq1auRnp6uj9BERUXBbrcDAGbPno0xY8ZgxYoVmDhxIt588028++672LNnj98yvP/++4HUtkl4QzEREVEohOCr4JMmTUJOTg6WLFmCiy++GLt27cK2bduQnJwMACgqKjK88+bZZ59FfX097r33XvTo0UOfPL/YPXLkSLzyyivYuHEjLrzwQuTm5mLLli0YMWLEGctSX1+PiIgIfP75502ux9lw5IaIiKgdmTFjBmbMmOF3WW5uruF3Y1+/ctNNN+Gmm25qUjkiIiKQnJwMp7OBb9QFgSM3REREoaAogCmIKQy+LfXII48gOzsbP/30U7Pmy5EbIiKiUOBXwbFmzRp8/fXXSExMRHJyMmJiYgzLP/vss4DyZeeGiIiIQuL6669vkXzZuSEiIgqFEDwt1dosXLiwRfJtN50b4awDzGb170r3dziUDuqjbK7yU+pvi82QTonqoKZx1Hhkpn2Svb7OuBKT2bg80uMtkXW1xrhVFWrUn35Q19M9SQ03e2ySCO1vuQMLlzGPSGNZtchaWbThSmE2hsu8FLM7ictpLL9cjayHvNkr0s9bL2V+Tu012XKY1GT2jSvjyGVOtf2USOMwpN+03uT2qHMY52fKxxwJABA1ldp6LR7LzMZ8Hdr20tpGeG9rAKitVpdp+er09tLyjPDYprKt5dym1V1u25oqdR7t8UIuWaZqbZ/R2k2vn8fQtKKFCVk3bT/T6yfrIcM96mGzquX8w8HvAQAresQY0kYmdNKTVH+lxrFobYkIbX2duqnzY99qESvd65GvUtfaVpSeUH+75H7mcYxp5LbSyy3zqK4ylN1w3Mj2qjytzuUxLfOQm8vzeJL7JmqM+dar+5WQ+dd77GeyzpWlxt/1xn3R89yhaOsUWv6Ktv1lHCUi0lgHj79leyly35Dr0fYHUeZxz4Jcj+u0+ltrL+GoMqTxpLjUF66J6nItwGRYj6jV0jrc5zIh42jLFGu0lqbOkFbWEwBElXr+Vcwxxvzk8STrXnbaXbiT2r7Ss7chrr7vdIhV84xwH9NC2/6KSTtHyXO5bKdSLf/oDu711NYCtX7OJS2Fl6VaTLvp3BAREVHrYjKZzviZhkCfpGLnhoiIKBTkU0/BpG/jtm7davhdV1eH/Px8vPTSS1i8eHHA+bJzQ0REFAq858bvZx9uuukmDBo0SP+eVSB4wY6IiIhalREjRuDdd98NOD1HboiIiEKBNxT7VV1djaeeego9e/YMOA92boiIiEKhHd9z8+tf/xo5OTlITk423FAshEB5eTmio6Px5z//OeD82bkhIiIKBUUJcuSm7XZuXnrpJSxfvhyrVq0ydG5MJhO6deuGESNGoFOnTmfI4czYuSEiIqJzSmjvUbvrrrtaJH92boiIiEKhnT8tdab32wSLnRsiIqJQaOc3FPfv3/+sHZxAvxbOzg0RERGdc4sXL4bdbm+RvNm5ISIiCoV2/LQUANxyyy3o3r17i+TNzg0REVEotOPLUi15vw3ANxQTERHROSaflmopHLkhIiIKhXb8tJTL5WrR/Nm5ISIiCgWTSZ2CSU9+tZ/OTXUl0Lmz+rfHdUpRekILMqsB9XXqvLZKXS5/y+UAUFWmLnPUqGmt0Wq4y2lMU1fjTuPShuBitTvDZY9baL3X6gp13qGjO43ccWV5TdrmctZ5LffovcvesAyTcbzDPdPoB4hcpsWVo4a2GC2en38leF/z9f6XhLPe/XedQ52btXpo7YVIizqvrfbNU7aPbH9tKFNvY2253BbqOp3GMsjhT6dxW3oOi8rrv0KWQebnvQ0885ZhsoyyPjJfR62x7ADgqDKWTaaprpIFgTchyy3bz6btbzW+aYR3mWQ9Oti1YK829/i7rl5Nk2xTt09Zqbq+mBptP+/SRU9isv6olV+rq2y38lPG/G1R7vVocURNpTqXcWX7VJT7pBEnvjfGkfXRtoOo1tJ47jPaPqfvI/q21PKQ7eh5fGrbTIm0amU7qf6W+77clvUOdxotHyHrqmhtEKH9ltugstS9mg7aG1e1uuvbQ+5/2rnFk5DnhsoyQ1xERGpl1fKqOOVOpNVVMUcal8n91xrlUx99PXI71XnUFQAqtHp4trUsk5afqNeOd1kvWY7oDu40si0t2n4cpc21suLUMWM9AYjTp9WgUq0esmw1Wptr20B4blNZFllXuY/qx5EWbrG505irADM7DOGg/XRuiIiIWpUgL0uh7V6Wamns3BAREYVCO35aqqWxc0NERBQK7fiG4pbGbh8RERGFFY7cEBERhQKflmox7NwQERGFAi9LtRh2+4iIiCiscOSGiIgoFBQlyKelOHLTEI7cEBERhYK8LBXMFIC1a9ciJSUFNpsNaWlp2L17d4Nxi4qKMHnyZFxwwQUwmUyYM2eOT5zc3FwoiuIz1dTU+GZ4jrBzQ0RE1E5s2bIFc+bMwYIFC5Cfn4/Ro0djwoQJKCws9Bu/trYW3bp1w4IFC3DRRRc1mG9cXByKiooMk81mazB+S2PnhoiIKBTkS/yCmZpo5cqVmDJlCqZOnYqBAwciJycHSUlJWLdund/4vXv3xurVq3HHHXfAbrc3XBVFQUJCgmEKJXZuiIiIQsGkBD8BKCsrM0y1tbV+V+dwOLB//35kZmYawjMzM7F3796gqlJRUYHk5GT07NkT11xzDfLz84PKL1js3BAREbVhSUlJsNvt+rRs2TK/8U6cOAGn04n4+HhDeHx8PIqLiwNe/4ABA5Cbm4u33noLmzdvhs1mw6hRo3DkyJGA8wwWn5YiIiIKhWb6ttSxY8cQFxenB1ut1jMn87oRWQjhE9YU6enpSE9P13+PGjUKl1xyCZ566imsWbMm4HyDwc4NERFRKDTTS/zi4uIMnZuGdO3aFWaz2WeUpqSkxGc0JxgmkwnDhw/nyM25IKrLAXN39UdlmXtBpEWdm8zq3Gz2SuhS5y6nO8waBcDjY/MWrZdcW63lEWH8DQAR6nqUqA5qtvUOdV6llaW+Xl1u7+an8GoZlIhI9aezzrjccHBo5dX/NaD9lvWTcyHcSeq1/LT89bQmLa1Tq7vL418YsgyyfbzVObQ83buY0NpQL61LGJIIWQ6zx27p1NrFFmPMXws/4796PLcZ1H+dGNR7tKNsf7ktte0Di00W3jgHIBzqY46KLK9sPy1cVFdoeXj8K+r0STVNF/VmO1FRqpW13lAOPS3gbssabX/S9iFUV8KHvbM6P1mizmO0E57cXrJeDo9r8lq+XbpHqz+/VtupqKQKAJDYpYtWJvf+bIrRjht5vNRr7VKplamrdqw5PbaBrIc8Lsq1ust9pOy08TcAVHm1oWzj3v28lrufyhA1ahnkv0SFtj4ltpNWVq0tPPYdPW5lqbGs2nGr76sm97EmKtRjV5FtbI401k871oTMC4CiLZPr0XPTzin6+cDkcR6S6U+fUuPINvA+z3iebyrVdhFxHbVlNca85DnjxA/uNN3OU9OcLPYtAwBUlKvzmA7uMLkPymPLJc83JmO9ajz2Va3dhIzr0Mrk9DoPff9fd5o6uSzCkAfKtO3VSd1HUfqTO42878Su7sei8rT6WzvGEK3Vw/P/B04n4GzgnNYSzvFXwS0WC9LS0pCXl4cbbrhBD8/Ly8PEiRMDL4cXIQQKCgowZMiQZsuzqdpN54aIiKi9mzdvHrKysjBs2DBkZGRgw4YNKCwsxPTp0wEA2dnZOH78ODZt2qSnKSgoAKDeNPzjjz+ioKAAFosFqampAIDFixcjPT0d/fr1Q1lZGdasWYOCggI888wz57x+Ejs3REREISBfdhdM+qaaNGkSTp48iSVLlqCoqAiDBw/Gtm3bkJycDEB9aZ/3O2+GDh2q/71//368/PLLSE5OxnfffQcAOH36NO655x4UFxfDbrdj6NCh2LVrFy699NKA6xYsdm6IiIhC4RxflpJmzJiBGTNm+F2Wm5vrE+ZzSd/LqlWrsGrVqoDK0lL4KDgRERGFFY7cEBERhUKIRm7aA3ZuiIiIQkFRDE/gBZSe/GK3j4iIiMIKR26IiIhCgZelWgw7N0RERKHQTG8oJl/s9hEREVFY4cgNERFRKChKkJelOHLTkFY9crNs2TIMHz4csbGx6N69O66//np89dVXoS4WERFR8ORlqWAm8qtVd2527tyJe++9Fx999BHy8vJQX1+PzMxMVFb6+WAgERFRWyJvKA5mIr9a9WWpd955x/B748aN6N69O/bv348xY8aEqFRERETUmrXqzo230lL18/adO3duME5tbS1q5afuAZSVlTUYl4iIKGRMQb7EL5i0Ya7NjGkJITBv3jxcdtllGDx4cIPxli1bBrvdrk9JSUnnsJRERESNxMtSLabNjNzMnDkTBw8exJ49e84YLzs7G/PmzdN/l5WVqR2cOgdQdlINjOrgTlBfb8ygzgEAUGI7AQCEo0YNt0a741SVq8tq1Ht/lEiblledMS+n0/23SfvbGqWmMZvVPLT1CUeVGi7caZQIq/qHOVILULRwi5rG5ZG/D8VvWsivu3p2+CO0OCazVg8tX5O2e1Rr9zhFWjzqo8WtdWjr0X47643LPdtAto/DPbIGAKJGrTu0+igWm3tZXa2h3HKZqK0yrtezLeS/ZmQZNIpZrY9wVGhp3bu/np8tRgtwaWWtMeThWXZFtq1ctznKf1rPdtPaQFRXGOsj85V5VXqMOMo2ralW51payHvPOnZyxz0l93Ftf43Q6ij387JTWlk92qa6ylDFRIu6TD9tyraPjdXjmKyRxvpUyHy1VD8WG8vhsR5ResJY19JyrT5ana1WdxpZbu/9VzuOBLQ2rq12p/npB3VZ53hDXUW5WkZF28ai8pQ7jdxmMh9tewi5/mj1nKFo6zWUX+7jcv+W5wqn9ls7xgFAnPxe/eP0T+pvLa0iyyr3A88bRWX+Vdp2P61t005d1HmlVmbP/d3pdayd1vYL/Xygbacad7vJ9tHrcbpEncv9q1LbTp7bVLZPZYWxjHEd1bnLZUwL+OxvelvLtv/pR3Ue4T4+XeVqGrNc32mtrHJfkfu9Z94/qfuZ6KDtt2Wn1bl+7tLW59lBiIp278PUprWJzs2sWbPw1ltvYdeuXejZs+cZ41qtVlg9T45EREStEV/i12JadedGCIFZs2Zh69at+OCDD5CSkhLqIhERETUPfn6hxbTqzs29996Ll19+GW+++SZiY2NRXKwOddvtdkRFRZ0lNREREbVHrbrbt27dOpSWluLyyy9Hjx499GnLli2hLhoREVFw+BK/FtOqR26EvHmQiIgo3PCyVIthyxAREVFYadUjN0RERGHLZFKnYNKTX+zcEBERhYCiKFCCuG8mmLThjp0bIiKiUFCUIO+5YeemIRzTIiIiorDCkRsiIqJQ4BuKWww7N0RERCER7McvefGlIWwZIiIiCiscuSEiIgoFXpZqMezcEBERhQLfc9Ni2DJEREQUVtrPyM2pHyGsWnXrHHqwYosBAIiTRervDnZ1gcmshv94XA3vnqSnEdUVapglWg2oqdQWuNS5tlzUe6zHqn3FvLZaXabN9TSyTGU/udcT10X7QxjzkEOR/m5E05d5xZHrcdapc7PHppfLtBnqtTgyillri4pS92oiIrV6VGlxIo3FiJBZO32KKBw16h+RFuP6ZFllOABocYVsYz0T7btjsh1jO7mX1dUa1yPJssi8tG1syE/mU1mmziMijGWTbeVRN0Urr94mMm50B3Ve7VH2bonq/PQJdW7z2ofkdvP8F5nJYiyDbJ8qdT9DTIw7bpSWn6NWK3+ksdw/aeuNT3SniYzUqqym+XmfrmoRS7V2rFHbUYmN1ZM4K9SwCLm/nvpRnZeeUudy/5LlAQC5/1Zq5f6xWJ130vbzWq3MHsenXleZr13bPiXq8YpE7bjUjjn1b22flNvfYlPnWnvp+7EsD6C3lzy29W3WsSs8iSqP9Wj7jL6Pa22syH229ISxDgBQU22so2wfbZ+FS9tOcr8G3Ns9rqM6r6835uHU1h/hcQxWauV3CWMcmZdsG8+2LtW25elThvroZa71k0Yui9XOm9q5Qq+z3A9rPOojt788/k5q7VSmrff4MXUe7d53ar4tUYPiD2pptXoUa/uQ1apWzyONKFHTKBaLsWynZP20tvE4fsTJkxC1HvVrabws1WI4ckNERBQK8sOZwUwBWLt2LVJSUmCz2ZCWlobdu3c3GLeoqAiTJ0/GBRdcAJPJhDlz5viN99prryE1NRVWqxWpqanYunVrQGVrLuzcEBERtRNbtmzBnDlzsGDBAuTn52P06NGYMGECCgsL/cavra1Ft27dsGDBAlx00UV+4+zbtw+TJk1CVlYWDhw4gKysLNx88834+OOPW7IqZ8TODRERUSjIy1LBTADKysoMU628xOvHypUrMWXKFEydOhUDBw5ETk4OkpKSsG7dOr/xe/fujdWrV+OOO+6A3W73GycnJwfjxo1DdnY2BgwYgOzsbFx55ZXIyckJuokCxc4NERFRSCjNMAFJSUmw2+36tGzZMr9rczgc2L9/PzIzMw3hmZmZ2Lt3b8C12Ldvn0+e48ePDyrPYLWfG4qJiIhak2a6ofjYsWOIi4vTg63aDdbeTpw4AafTifj4eEN4fHw8iuXN2QEoLi5u9jyDxc4NERFRGxYXF2fo3JyN4tWhEkL4hDVVS+QZDHZuiIiIQuEcPwretWtXmM1mnxGVkpISn5GXpkhISGj2PIPFe26IiIhConnuuWksi8WCtLQ05OXlGcLz8vIwcuTIgGuRkZHhk+eOHTuCyjNYHLkhIiJqJ+bNm4esrCwMGzYMGRkZ2LBhAwoLCzF9+nQAQHZ2No4fP45NmzbpaQoKCgAAFRUV+PHHH1FQUACLxYLU1FQAwOzZszFmzBisWLECEydOxJtvvol3330Xe/bsOef1k9i5ISIiCoUQvKF40qRJOHnyJJYsWYKioiIMHjwY27ZtQ3JyMgD1pX3e77wZOnSo/vf+/fvx8ssvIzk5Gd999x0AYOTIkXjllVfwyCOP4NFHH0Xfvn2xZcsWjBgxIvC6BYmdGyIiolBo+pUl3/QBmDFjBmbMmOF3WW5urk+YkJ+qOIObbroJN910U2AFagG854aIiIjCCkduiIiIQiJEQzftADs3REREocCvgrcYXpYiIiKisMKRGyIiolBQEOTITbOVJOwoojG3QbdhZWVlsNvtKC0tbdLrqYmIqP05F//PkOs4/e98xMXGBp5PeTk69h/K/7/5wZEbIiKiUOA9Ny2G99wQERFRWOHIDRERUUjwUfCWws4NERFRKPCyVIvhZSkiIiIKKxy5ISIiCgWO3LQYdm6IiIhCgvfctBReliIiIqKwwpEbIiKiEFAUBUoQl5aCSRvu2LkhIiIKBd5z02J4WYqIiIjCCkduiIiIQoI3FLcUdm6IiIhCIsjLUuzcNIidGyIiolDgPTcthvfcEBERUVjhyA0REVFI8J6blsLODRERUSjwslSL4WUpIiIiCiscuSEiIgoFXpVqMezcEBERhQR7Ny2Fl6WIiIgorHDkhoiIKBR4Q3GLYeeGiIgoFNi5aTG8LEVERERhhZ0bIiKikFCaYWq6tWvXIiUlBTabDWlpadi9e/cZ4+/cuRNpaWmw2Wzo06cP1q9fb1iem5sLRVF8ppqamoDK1xzYuSEiIgoFBe5LUwFNTV/lli1bMGfOHCxYsAD5+fkYPXo0JkyYgMLCQr/xjx49ip///OcYPXo08vPz8dvf/hb33XcfXnvtNUO8uLg4FBUVGSabzRZAozQP3nNDREQUCiG452blypWYMmUKpk6dCgDIycnB9u3bsW7dOixbtswn/vr169GrVy/k5OQAAAYOHIhPP/0UTzzxBH75y196FEVBQkJCYPVoAW1i5KapQ2hERETtRVlZmWGqra31G8/hcGD//v3IzMw0hGdmZmLv3r1+0+zbt88n/vjx4/Hpp5+irq5OD6uoqEBycjJ69uyJa665Bvn5+UHWKjitvnPT1CE0IiKitqF57rlJSkqC3W7XJ38jMABw4sQJOJ1OxMfHG8Lj4+NRXFzsN01xcbHf+PX19Thx4gQAYMCAAcjNzcVbb72FzZs3w2azYdSoUThy5EhTG6TZtPrLUk0dQiMiImoTmumy1LFjxxAXF6cHW63WsyQzrlMI4RN2tvie4enp6UhPT9eXjxo1CpdccgmeeuoprFmzphEVaX6tunMjh9Dmz59vCD/TEFptba1hSK60tBSAOmxHRER0JvL/FfJ/4C26rvLyZkkfFxdn6Nw0pGvXrjCbzT6jNCUlJT6jM1JCQoLf+BEREejSpYvfNCaTCcOHD+fITUMCGUJbtmwZFi9e7BOelJTUImUkIqLwU15eDrvd3iJ5WywWJCQkIKn/oKDzSkhIgMViafR609LSkJeXhxtuuEEPz8vLw8SJE/2mycjIwNtvv20I27FjB4YNG4bIyEi/aYQQKCgowJAhQxpZi+bXqjs3UlOG0LKzszFv3jz9t8vlwk8//YQuXbqccditNSgrK0NSUpLPEGNbxfq0fuFWJ9andWsL9RFCoLy8HImJiS22DpvNhqNHj8LhcASdl8ViadIj1/PmzUNWVhaGDRuGjIwMbNiwAYWFhZg+fToA9f+hx48fx6ZNmwAA06dPx9NPP4158+bhN7/5Dfbt24cXXngBmzdv1vNcvHgx0tPT0a9fP5SVlWHNmjUoKCjAM888E3T9AtWqOzeBDKFZrVaf640dO3ZsqSK2iMYOMbYVrE/rF251Yn1at9Zen5YasfFks9lC8h6YSZMm4eTJk1iyZAmKioowePBgbNu2DcnJyQCAoqIiwwM7KSkp2LZtG+bOnYtnnnkGiYmJWLNmjeEx8NOnT+Oee+5BcXEx7HY7hg4dil27duHSSy895/WTFHEuLiwGYcSIEUhLS8PatWv1sNTUVEycODHsbiguKyuD3W5HaWlpqz7wG4v1af3CrU6sT+sWbvWh1qtVj9wAZx9CIyIiIvLU6js3ZxtCCydWqxULFy4862N8bQXr0/qFW51Yn9Yt3OpDrVervyxFRERE1BSt/g3FRERERE3Bzg0RERGFFXZuiIiIKKywc0NERERhhZ2bZrR27VqkpKTAZrMhLS0Nu3fvBgDU1dXh4YcfxpAhQxATE4PExETccccd+P7778+a56FDhzB27FhERUXhvPPOw5IlS3y+ebJz506kpaXBZrOhT58+WL9+fYvWx9u0adOgKApycnLOmmdrrs+//vUvXHfddbDb7YiNjUV6evpZvz7fWutTUVGBmTNnomfPnoiKisLAgQOxbt26s+YZqvrs2rUL1157LRITE6EoCt544w3DciEEFi1ahMTERERFReHyyy/HF1980Sbr0xbPB2fbPp7ayvmAwpygZvHKK6+IyMhI8dxzz4nDhw+L2bNni5iYGPGf//xHnD59Wlx11VViy5Yt4ssvvxT79u0TI0aMEGlpaWfMs7S0VMTHx4tbbrlFHDp0SLz22msiNjZWPPHEE3qcb7/9VkRHR4vZs2eLw4cPi+eee05ERkaKv/zlLy1WH09bt24VF110kUhMTBSrVq1qs/X5+uuvRefOncWDDz4oPvvsM/HNN9+Iv/71r+KHH35ok/WZOnWq6Nu3r3j//ffF0aNHxbPPPivMZrN44403WmV9tm3bJhYsWCBee+01AUBs3brVsHz58uUiNjZWvPbaa+LQoUNi0qRJokePHqKsrKzN1actng/Otn2ktnI+oPDHzk0zufTSS8X06dMNYQMGDBDz58/3G/+f//ynAODTWfC0du1aYbfbRU1NjR62bNkykZiYKFwulxBCiIceekgMGDDAkG7atGkiPT090KoIIRpXn//+97/ivPPOE59//rlITk4+68msNddn0qRJ4vbbb29Snq25PoMGDRJLliwxLL/kkkvEI4880irr48n7f54ul0skJCSI5cuX62E1NTXCbreL9evXN5hPa62PP639fOCpofq0pfMBhT9elmoGDocD+/fvR2ZmpiE8MzMTe/fu9ZumtLQUiqIYvnt111134fLLL9d/79u3D2PHjjW88Gr8+PH4/vvv8d133+lxvNc7fvx4fPrpp6irq2ux+rhcLmRlZeHBBx/EoEH+v2zbVurjcrnwt7/9Df3798f48ePRvXt3jBgxwmfova3UBwAuu+wyvPXWWzh+/DiEEHj//ffx73//G+PHj2919Tmbo0ePori42LBeq9WKsWPHGo6vtlIff1rz+aAx2tL5gNoHdm6awYkTJ+B0On0+5hkfH+/z0U8AqKmpwfz58zF58mTD91V69OiBXr166b+Li4v95imXnSlOfX09Tpw40WL1WbFiBSIiInDfffc1mE9bqU9JSQkqKiqwfPlyXH311dixYwduuOEG3Hjjjdi5c2ebqw8ArFmzBqmpqejZsycsFguuvvpqrF27Fpdddlmrq8/ZyHWf7fhqK/Xx1trPB43Rls4H1D60+s8vtCWKohh+CyF8wurq6nDLLbfA5XIZPgYKwO+HQP3l6R3emDiBaKg++/fvx+rVq/HZZ5+dcR1tpT4ulwsAMHHiRMydOxcAcPHFF2Pv3r1Yv349xo4dC6Dt1AdQOzcfffQR3nrrLSQnJ2PXrl2YMWMGevTogauuuqpV1udsznZ8tbX6AG3rfNCQtno+oPDGkZtm0LVrV5jNZp9RmpKSEsO/Ourq6nDzzTfj6NGjyMvLO+tXcRMSEvzmCbj/hdNQnIiICHTp0qVF6rN7926UlJSgV69eiIiIQEREBP7zn//g/vvvR+/evdtcfbp27YqIiAikpqYalg8cOPCMT0u11vpUV1fjt7/9LVauXIlrr70WF154IWbOnIlJkybhiSeeaHX1OZuEhAQAOOvx5S9da6yP1FbOB2fT1s4H1D6wc9MMLBYL0tLSkJeXZwjPy8vDyJEjAbhPZEeOHMG7777bqAMzIyMDu3btgsPh0MN27NiBxMRE/aSRkZHhs94dO3Zg2LBhiIyMbJH6ZGVl4eDBgygoKNCnxMREPPjgg9i+fXubq4/FYsHw4cPx1VdfGZb/+9//PuMHWltrferq6lBXVweTyXh4m81mfZSqNdXnbFJSUpCQkGBYr8PhwM6dO/Xjy5/WWh+gbZ0PzqatnQ+onTi39y+HL/lo7gsvvCAOHz4s5syZI2JiYsR3330n6urqxHXXXSd69uwpCgoKRFFRkT7V1tbqecyfP19kZWXpv0+fPi3i4+PFrbfeKg4dOiRef/11ERcX5/dRyblz54rDhw+LF154oVkfNfZXH3/8PR3Rlurz+uuvi8jISLFhwwZx5MgR8dRTTwmz2Sx2797dJuszduxYMWjQIPH++++Lb7/9VmzcuFHYbDaxdu3aVlmf8vJykZ+fL/Lz8wUAsXLlSpGfn68/PbR8+XJht9vF66+/Lg4dOiRuvfVWn0fB20p92uL54Gzbx1trPx9Q+GPnphk988wzIjk5WVgsFnHJJZeInTt3CiGEOHr0qADgd3r//ff19HfeeacYO3asIc+DBw+K0aNHC6vVKhISEsSiRYv0xySlDz74QAwdOlRYLBbRu3dvsW7duhatjz/+TmZtrT4vvPCCOP/884XNZhMXXXSRzzth2lJ9ioqKxF133SUSExOFzWYTF1xwgXjyyScNZWtN9Xn//ff9Hh933nmnEEJ9HHzhwoUiISFBWK1WMWbMGHHo0CFDHm2lPm3xfHC27eOtLZwPKLwpQni9DpKIiIioDeM9N0RERBRW2LkhIiKisMLODREREYUVdm6IiIgorLBzQ0RERGGFnRsiIiIKK+zcEBERUVhh54aIqA1ZtmwZhg8fjtjYWHTv3h3XX3+9z6dDhBBYtGgREhMTERUVhcsvvxxffPGFvvynn37CrFmzcMEFFyA6Ohq9evXCfffdh9LSUkM+p06dQlZWFux2O+x2O7KysnD69OlGlfO///0vLBYLBgwYEHSdm+KLL77AL3/5S/Tu3RuKoiAnJ8cnzqJFi6AoimGS3zCj8MDODVGY+eCDD6AoSqP/J0Rty86dO3Hvvffio48+Ql5eHurr65GZmYnKyko9zh//+EesXLkSTz/9ND755BMkJCRg3LhxKC8vBwB8//33+P777/HEE0/g0KFDyM3NxTvvvIMpU6YY1jV58mQUFBTgnXfewTvvvIOCggJkZWU1qpy5ubm4+eabUVVVhQ8//LD5GuAsqqqq0KdPHyxfvvyMHZZBgwahqKhInw4dOnTOykjnQIjfkExEQRo7dqyYPXu2/ru2tlYUFRX5vMaewlNJSYkAoH9+w+VyiYSEBLF8+XI9Tk1NjbDb7WL9+vUN5vPqq68Ki8Ui6urqhBBCHD58WAAQH330kR5n3759AoD48ssvz1gml8sl+vTpI9555x3x8MMPi7vvvtuwXH7O4dSpU3qY/G7V0aNH9bANGzaInj17iqioKHH99deLJ598Utjt9rM1ic7fZyCEEGLhwoXioosuanQ+1PZw5IYozFgsFiQkJEBRlFAXhc4BeSmpc+fOAICjR4+iuLgYmZmZehyr1YqxY8di7969Z8wnLi4OERERAIB9+/bBbrdjxIgRepz09HTY7fYz5gMA77//PqqqqnDVVVchKysLr776qj5q1Fgffvghpk+fjtmzZ6OgoADjxo3DH/7whyblcSZHjhxBYmIiUlJScMstt+Dbb79ttrwp9Ni5IWrD7rrrLuzcuROrV6/W7x3Izc01XJbKzc1Fx44d8de//lW/x+Kmm25CZWUlXnrpJfTu3RudOnXCrFmz4HQ69bwdDgceeughnHfeeYiJicGIESPwwQcfhKai5JcQAvPmzcNll12GwYMHAwCKi4sBAPHx8Ya48fHx+jJvJ0+exO9//3tMmzZNDysuLkb37t194nbv3r3BfKQXXngBt9xyC8xmMwYNGoTzzz8fW7ZsaVLdnnrqKUyYMAEPPPAA+vfvjxkzZmDChAlNyqMhI0aMwKZNm7B9+3Y899xzKC4uxsiRI3Hy5MlmyZ9Cj50bojZs9erVyMjIwG9+8xv93oGkpCSfeFVVVVizZg1eeeUVvPPOO/jggw9w4403Ytu2bdi2bRv+9Kc/YcOGDfjLX/6ip7n77rvx4Ycf4pVXXsHBgwfxq1/9CldffTWOHDlyLqtIZzBz5kwcPHgQmzdv9lnmPXInhPA7mldWVoZf/OIXSE1NxcKFC8+Yh3c+gwYNQocOHdChQwe943H69Gm8/vrruP322/U0t99+O1588cUm1e2rr77CpZdeagjz/F1YWKivu0OHDli6dGmj854wYQJ++ctfYsiQIbjqqqvwt7/9DQDw0ksvNamM1HpFhLoARBQ4u90Oi8WC6Oho/ebJL7/80ideXV0d1q1bh759+wIAbrrpJvzpT3/CDz/8gA4dOiA1NRVXXHEF3n//fUyaNAnffPMNNm/ejP/+979ITEwEADzwwAN45513sHHjxib9j4RaxqxZs/DWW29h165d6Nmzpx4u94Pi4mL06NFDDy8pKfEZzSkvL8fVV1+NDh06YOvWrYiMjDTk88MPP/is98cff9Tz2bZtG+rq6gAAUVFRAICXX34ZNTU1hstZQgi4XC4cPnwYqampMJlMergk8/FM46+DJiUmJqKgoED/LS/LBSImJgZDhgxhxz2MsHND1A5ER0frHRtAvUTRu3dvdOjQwRBWUlICAPjss88ghED//v0N+dTW1qJLly7nptDklxACs2bNwtatW/HBBx8gJSXFsDwlJQUJCQnIy8vD0KFDAaiXGHfu3IkVK1bo8crKyjB+/HhYrVa89dZbsNlshnwyMjJQWlqKf/7zn/qIyccff4zS0lKMHDkSAJCcnOxTvhdeeAH3338/7rrrLkP4fffdhxdffBFPPPEEunXrBgAoKipCp06dAMDQUQGAAQMG4J///Kch7NNPP9X/joiIwPnnn3/Gtmqs2tpa/Otf/8Lo0aObJT8KPXZuiNoBz3+RA+rlBn9hLpcLAOByuWA2m7F//36YzWZDPM8OEZ179957L15++WW8+eabiI2N1e9/sdvtiIqKgqIomDNnDpYuXYp+/fqhX79+WLp0KaKjozF58mQA6ohNZmYmqqqq8Oc//xllZWUoKysDAHTr1g1msxkDBw7E1Vdfjd/85jd49tlnAQD33HMPrrnmGlxwwQV+y1ZQUIDPPvsM//u//+vzfptbb70VCxYswLJly3D++ecjKSkJixYtwmOPPYYjR47gySefNMSfNWsWxowZg5UrV+Laa6/FP/7xD/z9738/643yDocDhw8f1v8+fvw4CgoK0KFDB70z9MADD+Daa69Fr169UFJSgsceewxlZWW48847m7IpqDUL2XNaRNQsxo0bJ2bOnKn/9n7MduPGjT6Pz/p7FPbOO+8UEydOFEII8dVXXwkAYteuXS1YcgoEAL/Txo0b9Tgul0ssXLhQJCQkCKvVKsaMGSMOHTqkL5f7iL/J81HskydPittuu03ExsaK2NhYcdtttxke3/Y2c+ZMkZqa6ndZSUmJMJvN4rXXXhNCCLFnzx4xZMgQYbPZxOjRo8X//d//+X0U/LzzztMfBX/sscdEQkLCGdvn6NGjfus1duxYPc6kSZNEjx49RGRkpEhMTBQ33nij+OKLL86YL7UtihAeFzGJqM255557UFBQgFdffRUdOnTAwYMHceWVV+LUqVPo2LEjcnNzMWfOHMNL/RYtWoQ33njDcCngrrvuwunTp/HGG28AUG8C/fDDD/Hkk09i6NChOHHiBP7xj39gyJAh+PnPf35uK0kE4De/+Q2+/PJL7N69O9RFoVaOT0sRtXEPPPAAzGYzUlNT0a1bNxQWFjZLvhs3bsQdd9yB+++/HxdccAGuu+46fPzxx36fxiJqCU888QQOHDiAr7/+Gk899RReeuklXjqiRuHIDRERtUo333wzPvjgA5SXl6NPnz6YNWsWpk+fHupiURvAzg0RERGFFV6WIiIiorDCzg0RERGFFXZuiIiIKKywc0NERERhhZ0bIiIiCivs3BAREVFYYeeGiIiIwgo7N0RERBRW2LkhIiKisMLODREREYWV/wfnan3u26eNJQAAAABJRU5ErkJggg==",
+            "text/plain": [
+              "<Figure size 640x480 with 2 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "# Turbulence Intensity\n",
+        "ds_avg[\"TI\"] = ds_avg.velds.I\n",
+        "ds_avg[\"TI\"].plot(cmap=\"Reds\", ylim=(0, 11))"
       ]
-     },
-     "execution_count": 39,
-     "metadata": {},
-     "output_type": "execute_result"
     },
     {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### 7.2 Power Spectral Densities (Auto-Spectra)\n",
+        "\n",
+        "Other turbulence parameters include the TKE power- and cross-spectral densities (i.e the power spectra), turbulent kinetic energy (TKE, i.e. the variances of velocity vector components), Reynolds stress vector (i.e. the co-variances of velocity vector components), TKE dissipation rate, and TKE production rate. These quantities are primarily used to inform and verify hydrodynamic and coastal models, which take some or all of these quantities as input.\n",
+        "\n",
+        "The TKE production rate is the rate at which kinetic energy (KE) transitions from a useful state (able to do \"work\" in the physics sense) to turbulent; TKE is the actual amount of turbulent KE in the water; and TKE dissipation rate is the rate at which turbulent KE is lost to non-motion forms of energy (heat, sound, etc) due to viscosity. The power spectra are used to depict and quantify this energy in the frequency domain, and creating them are the first step in turbulence analysis.\n",
+        "\n",
+        "We'll start by looking at the power spectra, specifically the auto-spectra from the vertical beam (\"auto\" meaning the variance of a single vector direction, e.g. $\\overline{u'^2}$, vs \"cross\", meaning the covariance of two directions, e.g. $\\overline{u'w'}$). This can be done using the `power_spectral_density` function from the `ADPBinner` we created (\"avg_tool\"). We'll create spectra at the middle water column, at a depth of 5 m, and an FFT length equal to 1/2 the bin size with 50% overlap between FFT segments"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 27,
+      "metadata": {},
+      "outputs": [
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\991425260.py:12: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  ds_avg[\"auto_spectra_5m\"] = avg_tool.power_spectral_density(\n"
+          ]
+        }
+      ],
+      "source": [
+        "rng = 5  # m\n",
+        "vel_up = ds[\"vel_b5\"].sel(range_b5=rng, method=\"nearest\")  # vertical velocity\n",
+        "U = ds_avg[\"U_mag\"].sel(\n",
+        "    range=5, method=\"nearest\"\n",
+        ")  # flow speed, for plotting in the next block\n",
+        "\n",
+        "# fill NaN values with mean to not affect statistics\n",
+        "vel_up = dolfyn.adv.clean.fill_nan_ensemble_mean(\n",
+        "    vel_up, vel_up.isnull(), int(ds.fs), window=window\n",
+        ")\n",
+        "\n",
+        "ds_avg[\"auto_spectra_5m\"] = avg_tool.power_spectral_density(\n",
+        "    vel_up, freq_units=\"Hz\", n_fft=ds_avg.n_bin // 2, pct_overlap=0.5\n",
+        ")"
       ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
     },
     {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "In the auto-spectra, we're primarly looking for three components: the energy-producing region, the isotropic turbulence region (so-called \"red noise\"), and the instrument noise floor (termed \"white noise\"). \n",
+        "\n",
+        "The block below organizes and plots the power spectra by the corresponding ensemble speed, averaging them by 0.1 m/s velocity bins. Note that if an ensemble is missing data that wasn't filled in, a power spectrum will not be calculated for that ensemble timestamp."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 28,
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "[Text(0.5, 0, 'Frequency [Hz]'),\n",
+              " Text(0, 0.5, 'PSD [m2 s-2 Hz-1]'),\n",
+              " (0.01, 1),\n",
+              " (0.0005, 0.1)]"
+            ]
+          },
+          "execution_count": 28,
+          "metadata": {},
+          "output_type": "execute_result"
+        },
+        {
+          "data": {
+            "image/png": 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",
+            "text/plain": [
+              "<Figure size 600x500 with 2 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "import numpy as np\n",
+        "import matplotlib.pyplot as plt\n",
+        "import matplotlib as mpl\n",
+        "\n",
+        "plt.rcParams.update({\"font.size\": 18, \"font.family\": \"Times New Roman\"})\n",
+        "\n",
+        "\n",
+        "def plot_spectra_by_color(auto_spectra, U_mag, ax, fig, cbar_max=4.0):\n",
+        "    U = U_mag.interp(time=auto_spectra[\"time_psd\"]).values\n",
+        "    U_max = U_mag.max().values\n",
+        "\n",
+        "    # Average spectra into 0.1 m/s velocity bins\n",
+        "    speed_bins = np.arange(0.5, U_max, 0.1)\n",
+        "    S_group = auto_spectra.assign_coords({\"time_psd\": U}).rename({\"time_psd\": \"speed\"})\n",
+        "    group = S_group.groupby_bins(\"speed\", speed_bins)\n",
+        "    count = group.count().values\n",
+        "    S = group.mean()\n",
+        "\n",
+        "    # define the colormap\n",
+        "    cmap = plt.cm.turbo\n",
+        "    # define the bins and normalize\n",
+        "    bounds = np.arange(0.5, cbar_max, 0.1)\n",
+        "    norm = mpl.colors.BoundaryNorm(bounds, cmap.N)\n",
+        "    colors = cmap(norm(speed_bins))\n",
+        "\n",
+        "    # plot\n",
+        "    for i in range(len(speed_bins) - 1):\n",
+        "        ax.loglog(auto_spectra[\"freq\"], S[i], c=colors[i])\n",
+        "    ax.grid()\n",
+        "\n",
+        "    # create a second axes for the colorbar\n",
+        "    cax = fig.add_axes([0.8, 0.07, 0.03, 0.88])\n",
+        "    # cax, _ = mpl.colorbar.make_axes(fig.gca())\n",
+        "    sm = mpl.colorbar.ColorbarBase(\n",
+        "        cax,\n",
+        "        cmap=cmap,\n",
+        "        norm=norm,\n",
+        "        spacing=\"proportional\",\n",
+        "        ticks=bounds,\n",
+        "        boundaries=bounds,\n",
+        "        format=\"%1.1f\",\n",
+        "        label=\"Velocity [m/s]\",\n",
+        "    )\n",
+        "\n",
+        "    # Add -5/3 slope line\n",
+        "    m = -5 / 3\n",
+        "    x = np.logspace(-1, 0.5)\n",
+        "    y = 10 ** (-3) * x**m\n",
+        "    ax.loglog(x, y, \"--\", c=\"black\", label=\"$f^{-5/3}$\")\n",
+        "    ax.legend()\n",
+        "\n",
+        "    return ax, sm\n",
+        "\n",
+        "\n",
+        "# Set up figure\n",
+        "fig, ax = plt.subplots(1, 1, figsize=(6, 5))\n",
+        "fig.subplots_adjust(left=0.2, right=0.75, top=0.95, bottom=0.1)\n",
+        "\n",
+        "# Plot spectra by color\n",
+        "plot_spectra_by_color(ds_avg[\"auto_spectra_5m\"], U, ax, fig, cbar_max=2.0)\n",
+        "# Set axes\n",
+        "ax.set(\n",
+        "    xlabel=\"Frequency [Hz]\",\n",
+        "    ylabel=\"PSD [m2 s-2 Hz-1]\",\n",
+        "    xlim=(0.01, 1),\n",
+        "    ylim=(0.0005, 0.1),\n",
+        ")"
       ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "In the figure above, we can see the energy-producing turbulent structures below a frequency of 0.2 Hz (one tick to the right of \"10^-1\"). The isotropic turbulence cascade, seen by the dashed f^(-5/3) slope (from Kolmogorov's theory of turbulence) begins at around 0.2 Hz and continues until we reach the Nyquist frequency at 0.5 Hz (1/2 the instrument's sampling frequency, 1 Hz). The instrument's noise floor can't be seen here, but will show up as the flattened part of the spectra at the highest frequencies. For this instrument (Nortek Signature1000), the noise floor typically varies around 10^-3, depending on flow speed and range distance."
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### 7.3 Instrument Noise\n",
+        "\n",
+        "The next thing we want to do is calculate the instrument's Doppler noise floor from the spectrum we calculated above. (We are making the assumption that the noise floor of the vertical beam is the same as the noise floor of the other 4 beams). This gives us a timeseries of the noise floor, which varies by instrument and with flow speed, at that depth bin.\n",
+        "\n",
+        "We can do this using the `doppler_noise_level` function. The two inputs for this function are the power spectra and \"pct_fN\", the percent of the Nyquist frequency that the noise floor exists. Because in this particularly dataset we can't see the noise floor, we'll just use 90% or pct_fN=0.9 as an example. If the noise floor began at 0.4 Hz and ran til our maximum frequency of 0.5 Hz, we'd use pct_fN = 0.4 Hz / 0.5 Hz = 0.8."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 29,
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>Statistic</th>\n",
+              "      <th>Value</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>mean</td>\n",
+              "      <td>0.026137</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>std</td>\n",
+              "      <td>0.010011</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>min</td>\n",
+              "      <td>0.010585</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>max</td>\n",
+              "      <td>0.055315</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "  Statistic     Value\n",
+              "0      mean  0.026137\n",
+              "1       std  0.010011\n",
+              "2       min  0.010585\n",
+              "3       max  0.055315"
+            ]
+          },
+          "execution_count": 29,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "ds_avg[\"noise_5m\"] = avg_tool.doppler_noise_level(ds_avg[\"auto_spectra_5m\"], pct_fN=0.9)\n",
+        "\n",
+        "noise_stats = pd.DataFrame({\n",
+        "    \"Statistic\": [\"mean\", \"std\", \"min\", \"max\"],\n",
+        "    \"Value\": [\n",
+        "        float(ds_avg[\"noise_5m\"].mean().values),\n",
+        "        float(ds_avg[\"noise_5m\"].std().values),\n",
+        "        float(ds_avg[\"noise_5m\"].min().values),\n",
+        "        float(ds_avg[\"noise_5m\"].max().values),\n",
+        "    ]\n",
+        "})\n",
+        "\n",
+        "noise_stats"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### 7.4 TKE Dissipation Rate\n",
+        "\n",
+        "Because we can see the isotropic turbulence cascade (0.2 - 0.5 Hz) at this depth bin (5 m altitude), we can calculate the TKE dissipation rate at this location from the spectra itself. This can be done using `dissipation_rate_LT83`, whose inputs are the power spectra, the ensemble speed, the frequency range of the isotropic cascade, and the instrument's noise."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 30,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "# Frequency range of isotropic turubulence cascade in same units as PSD frequency vector\n",
+        "f_rng = [0.1, 0.5]\n",
+        "# Dissipation rate\n",
+        "ds_avg[\"dissipation_rate_5m\"] = avg_tool.dissipation_rate_LT83(\n",
+        "    ds_avg[\"auto_spectra_5m\"], U, freq_range=f_rng, noise=ds_avg['noise_5m']\n",
+        ")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "We have just found the spectra and dissipation rate from a single depth bin at an altitude of 5 m from the seafloor, but typically we want the spectra and dissipation rates from the entire measurement profile. If we want to look at the spectra and dissipation rates from all depth bins, we can set up a \"for\" loop on the range coordinate and merge them together:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 31,
+      "metadata": {},
+      "outputs": [
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+            "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_4972\\3010848191.py:10: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=150 samples, pct_overlap=0.5).\n",
+            "  spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n"
+          ]
+        }
+      ],
+      "source": [
+        "import xarray as xr\n",
+        "\n",
+        "spec = [None] * len(ds.range)\n",
+        "e = [None] * len(ds.range)\n",
+        "n = [None] * len(ds.range)\n",
+        "\n",
+        "for r in range(len(ds[\"range\"])):\n",
+        "    # Calc spectra from each depth bin using the 5th beam\n",
+        "    vel_up = ds[\"vel_b5\"].isel(range_b5=r).fillna(vel_up.mean(\"time_b5\"))\n",
+        "    spec[r] = avg_tool.power_spectral_density(vel_up, freq_units=\"Hz\", pct_overlap=0.5)\n",
+        "    \n",
+        "    # Calculate doppler noise from spectra from each depth bin\n",
+        "    n[r] = avg_tool.doppler_noise_level(spec[r], pct_fN=0.9)\n",
+        "    \n",
+        "    # Calc dissipation rate from each spectra\n",
+        "    e[r] = avg_tool.dissipation_rate_LT83(\n",
+        "        spec[r], ds_avg.velds.U_mag.isel(range=r), freq_range=f_rng, noise=n[r]\n",
+        "    )\n",
+        "\n",
+        "ds_avg[\"auto_spectra\"] = xr.concat(spec, dim=\"range\")\n",
+        "ds_avg[\"noise\"] = xr.concat(n, dim=\"range\")\n",
+        "ds_avg[\"dissipation_rate\"] = xr.concat(e, dim=\"range\")\n",
+        "\n",
+        "del spec, n, e  # save memory"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Now that we have a profile timeseries of dissipation rate, we need apply some quality control (QC). Since we can't look at each individual spectrum to ensure we can see the isotropic turbulence cascade, we want to QC the output from `dissipation_rate_LT83` to make sure what was calculated actually falls on a f^(-5/3) slope. We can do this using the function `check_turbulence_cascade_slope`, which uses linear regression on the log-transformed LT83 equation (ref. to Lumley and Terray, 1983, see docstring) to calculate the spectral slope for the given frequency range. \n",
+        "\n",
+        "In our case, we're calculating the slope of each spectrum between 0.2 and 0.5 Hz. We'll use a cutoff of 20% for the error, but this can be lowered if there still appear to be erroneous estimations from visual inspection of the spectra."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 32,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "# Quality control dissipation rate estimation\n",
+        "slope = avg_tool.check_turbulence_cascade_slope(\n",
+        "    ds_avg[\"auto_spectra\"], freq_range=f_rng\n",
+        ")\n",
+        "\n",
+        "# Check that percent difference from -5/3 is not greater than 20%\n",
+        "mask = abs((slope[0].values - (-5 / 3)) / (-5 / 3)) <= 0.20\n",
+        "\n",
+        "# Keep good data\n",
+        "ds_avg[\"dissipation_rate\"] = ds_avg[\"dissipation_rate\"].where(mask)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "If we plot the dissipation rate below in a colormap, we can see that the profile map has a lot of missing data. One of the reasons is that the 1 Hz sampling rate doesn't provide enough information needed to make dissipation rate estimations, and the other part is that turbulence measurements push the boundaries of what ADCPs are capable of.\n",
+        "\n",
+        "Also, 1x10^-4 to 3x10^-4 $m^2/s^3$ is reasonable for a dissipation rate estimate for the 1 - 1.5 m/s current speeds measured here. They can be a magnitude greater for faster flow speeds, typically increase closer to the seafloor, and depend heavily on bathymetry and regional hydrodynamics."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 33,
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "<matplotlib.collections.QuadMesh at 0x26b0ef15350>"
+            ]
+          },
+          "execution_count": 33,
+          "metadata": {},
+          "output_type": "execute_result"
+        },
+        {
+          "data": {
+            "image/png": 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",
+            "text/plain": [
+              "<Figure size 640x480 with 2 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "ds_avg[\"dissipation_rate\"].plot(cmap=\"turbo\", ylim=(0, 11))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### 7.5 Noise-Corrected Turbulence Intensity\n",
+        "\n",
+        "Now that we've calculated the noise floor for each ping, we can recalculate TI and include subtracting instrument noise using the `turbulence_intensity` function. If we subtract this from the non-noise corrected function, we can see there's a large difference\n",
+        "at slower slow speeds, but the average difference is about 0.008 (0.8%). Notice this will also remove measurements where noise is \n",
+        "high."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 34,
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "Text(0.5, 1.0, 'TI Difference')"
+            ]
+          },
+          "execution_count": 34,
+          "metadata": {},
+          "output_type": "execute_result"
+        },
+        {
+          "data": {
+            "image/png": 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",
+            "text/plain": [
+              "<Figure size 640x480 with 2 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "ds_avg[\"turbulence_intensity\"] = avg_tool.turbulence_intensity(ds.velds.U_mag, noise=ds_avg[\"noise\"])\n",
+        "\n",
+        "(ds_avg[\"TI\"] - ds_avg[\"turbulence_intensity\"]).plot(cmap=\"Greens\", ylim=(0, 11))\n",
+        "plt.title(\"TI Difference\")"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### 7.6 Reynolds Stress Components\n",
+        "\n",
+        "The next parameters we'll find here are the Reynolds normal and shear stresses (-$\\overline{u_iu_j}$). Since we're using the vertical beam on the ADCP, we can directly measure the vertical TKE component from the along-beam velocity using the `turbulent_kinetic_energy` function. This function is capable of calculating TKE for any along-beam velocity.\n",
+        "\n",
+        "We can also use the so-called \"beam-variance\" equations to estimate the Reynolds stress tensor components (i.e. $\\overline{u'^2}$, $\\overline{v'^2}$, $\\overline{w'^2}$, $\\overline{u'v'}$, $\\overline{u'w'^2}$, $\\overline{v'w'^2}$), which define the normal and shear stresses acting on an element of water. These equations are built into the functions `stress_tensor_5beam` and `stress_tensor4beam`. \n",
+        "\n",
+        "Both of these functions will give comparable results, but `stress_tensor_5beam` takes into account instrument tilt, and `stress_tensor_4beam` does not. Both will throw a tilt warning if tilt is greater than 5 degrees.\n",
+        "\n",
+        "#### Quick 5-beam ADCP lesson before we dive in:\n",
+        "\n",
+        "There are a couple caveats to calculating Reynolds stress tensor components:\n",
+        "  1. Because this instrument only has 5 beams, we can only find 5 of the 6 components (6 unknowns, 5 knowns)\n",
+        "  2. Because the ADCP's instrument (XYZ) axes weren't aligned with the flow during deployment, we don't know what direction these components are aligned to (i.e. the 'u' direction is not necessarily the streamwise direction)\n",
+        "  3. It is possible to rotate the tensor, but we'd need to know all 6 components to do so properly (\"coupled ADCPs\")\n",
+        "  4. Measurements close to the seafloor can be suspect due to increased vertical flow. ADCPs operate under the \"assumption of homogeneity\", which means that they can only accurate measure consistent horizontal currents with relatively little vertical motion.\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "As an example, we'll calculate the Reynolds stresses from the `stress_tensor_5beam` function, which calculates the individual Reynolds stress tensor components and takes the same inputs: the raw dataset in \"beam\" coordinates, the instrument Doppler noise, the ADCP's orientation and its beam angle. It outputs both the normal stress (\"tke_vec\") and the shear stress (\"stress_vec\") vector. Note, this function will drop at least one warning every time it's run, primarily the coordinate system warning. This function also requires the input raw data to be in beam coordinates, so we'll create a copy of the raw data and rotate it to 'beam'. If you do not, this function will do so automatically."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 35,
+      "metadata": {},
+      "outputs": [
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "C:\\Users\\mcve343\\MHKiT-Python\\mhkit\\dolfyn\\adp\\turbulence.py:421: UserWarning:     The beam-variance algorithms assume the instrument's (XYZ) coordinate system is aligned with the principal flow directions.\n",
+            "  warnings.warn(\n"
+          ]
+        }
+      ],
+      "source": [
+        "dolfyn.rotate2(ds, \"beam\", inplace=True)\n",
+        "ds_avg[\"tke_vec\"], ds_avg[\"stress_vec\"] = avg_tool.stress_tensor_5beam(\n",
+        "    ds, noise=ds_avg[\"noise\"], orientation=\"up\", beam_angle=25\n",
+        ")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "There is one other important thing to note on Reynolds stress measurements by ADCPs: the minimum turbulence length scale that the ADCP is capable of measuring increases with range from the instrument. This means the instrument is only capable of measuring the stress transported by larger and larger turbulent structures as the beams travel farther and farther from the instrument head. One of the benefits of calculating w'w' from the vertical beam is that it isn't limited by this beam spread issue, though on its own it may not be particularly useful."
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### 7.7 TKE Production\n",
+        "\n",
+        "Though it can't be found from this deployment, we'll go over how to estimate the TKE shear production rate. Note that we're assuming here that the buoyancy production is negligible and we're in a well-mixed tidal channel. There isn't a specific function in MHKiT-DOLfYN for production, but all the necessary variables are. \n",
+        "\n",
+        "It is possible to estimate production rates from either an ADV or an ADCP aligned with the flow direction (so \"X\" would align with the principal flow direction). The following estimation for shear production rates takes into account both along- and cross-stream shear:\n",
+        "\n",
+        "$P = -\\overline{u'w'}\\frac{du}{dz} - \\overline{v'w'}\\frac{dv}{dz}$\n",
+        "\n",
+        "Note that the signs can get tricky but are important here. We found the Reynolds shear stresses -$\\overline{u'w'}$ and -$\\overline{v'w'}$ above using the Reynolds stress equations. If ADV data is available, those estimations are preferred because the ADV's point measurement does not have the assumptions that ADCP measurements have.\n",
+        "\n",
+        "The velocity shear components can be found from the aptly named functions `dudz` and `dvdz` in ADPBinner. These functions, which are useful alone in their own right, approximate the shear in the velocity vector between respective depth bins. There is always correlation between velocity measurements in adjacent depth bins, based on ADCP operation principles, which is why \"approximate\" is also used here for velocity shear.\n",
+        "\n",
+        "The velocity shear functions operate on the raw velocity vector in the principal reference frame and need to be ensemble-averaged here. This can be done by nesting the `d*dz` function within the ADPBinner's `mean` function. With the ensemble shear known, we can put all the components together to get a production estimation. If using ADV data, take the mean again of the \"range\" dimension."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 36,
+      "metadata": {},
+      "outputs": [
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "C:\\Users\\mcve343\\MHKiT-Python\\mhkit\\dolfyn\\rotate\\api.py:71: UserWarning: You are attempting to rotate into the 'principal' coordinate system, but the dataset is in the inst coordinate system. Be sure that 'principal_heading' is defined based on the earth coordinate system.\n",
+            "  warnings.warn(\n"
+          ]
+        }
+      ],
+      "source": [
+        "# Vertical shear gradients\n",
+        "upwp_ = ds_avg[\"stress_vec\"][1]\n",
+        "vpwp_ = ds_avg[\"stress_vec\"][2]\n",
+        "\n",
+        "# Find shear velocity and and ensemble-average it\n",
+        "ds.velds.rotate2(\"principal\", inplace=True)\n",
+        "dudz_raw = avg_tool.dudz(ds[\"vel\"], orientation=\"up\")\n",
+        "dudz = avg_tool.mean(dudz_raw.values)\n",
+        "\n",
+        "dvdz_raw = avg_tool.dvdz(ds[\"vel\"], orientation=\"up\")\n",
+        "dvdz = avg_tool.mean(dvdz_raw.values)\n",
+        "\n",
+        "# Calculate Production\n",
+        "P = -upwp_ * dudz - vpwp_ * dvdz\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### 7.8 TKE Balance \n",
+        "We can plot the production rates and the ratio of production rates to dissipation rates to get an understanding of the TKE balance.We always expect production to be greater than 0, though negative values can give us an indication of uncertainty. In a well mixed coastal environment, we expect production and dissipation to be approximately equal. Our production estimates are possibly high because our stress components aren't aligned with the flow (1.3x10^-3 $m^2/s^3$ is quite large), but if this weren't the case, we would conclude that TKE is produced (kinetic energy is lost to turbulence) but not dissipated (turbulent energy is lost to entropy) here."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 37,
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "Text(0.5, 1.0, 'TKE Balance')"
+            ]
+          },
+          "execution_count": 37,
+          "metadata": {},
+          "output_type": "execute_result"
+        },
+        {
+          "data": {
+            "image/png": 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",
+            "text/plain": [
+              "<Figure size 640x480 with 2 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "image/png": 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",
+            "text/plain": [
+              "<Figure size 640x480 with 2 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "# Remove estimations below 0\n",
+        "P = P.where(P > 0)\n",
+        "# Plot production rate\n",
+        "P.plot(cmap=\"turbo\", ylim=(0, 11))\n",
+        "plt.title(\"TKE Production\")  # remove bogus title\n",
+        "\n",
+        "# Interp to same time coordinates\n",
+        "dissipation = ds_avg[\"dissipation_rate\"].interp(time_psd=P[\"time\"]).values\n",
+        "\n",
+        "# Plot difference between production and dissipation rate\n",
+        "plt.figure()\n",
+        "balance = P - dissipation\n",
+        "balance.plot(ylim=(0, 11))\n",
+        "plt.title(\"TKE Balance\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": []
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "work",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.11.10"
     }
-   ],
-   "source": [
-    "# Remove estimations below 0\n",
-    "P = P.where(P > 0)\n",
-    "# Plot production rate\n",
-    "P.plot(cmap=\"turbo\", ylim=(0, 11))\n",
-    "plt.title(\"TKE Production\")  # remove bogus title\n",
-    "\n",
-    "\n",
-    "# Plot difference between production and dissipation rate\n",
-    "plt.figure()\n",
-    "balance = P - ds_avg[\"dissipation_rate\"].values\n",
-    "balance.plot(ylim=(0, 11))\n",
-    "plt.title(\"TKE Balance\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Updated_MHKiT",
-   "language": "python",
-   "name": "python3"
   },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.12.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
+  "nbformat": 4,
+  "nbformat_minor": 4
 }
diff --git a/examples/adcp_waves_example.ipynb b/examples/adcp_waves_example.ipynb
index 8b8dda1b7..be3c17240 100644
--- a/examples/adcp_waves_example.ipynb
+++ b/examples/adcp_waves_example.ipynb
@@ -55,7 +55,8 @@
      "output_type": "stream",
      "text": [
       "C:\\Users\\mcve343\\MHKiT-Python\\mhkit\\dolfyn\\io\\nortek2_lib.py:304: UserWarning: Dual Profile detected... Two datasets will be returned.\n",
-      "  warnings.warn(msg)\n"
+      "  warnings.warn(msg)\n",
+      "Dual Profile detected... Two datasets will be returned.\n"
      ]
     },
     {
@@ -106,39 +107,86 @@
        "</symbol>\n",
        "</defs>\n",
        "</svg>\n",
-       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
-       " *\n",
-       " */\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
        "\n",
        ":root {\n",
-       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
-       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
-       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
-       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
-       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
-       "  --xr-background-color: var(--jp-layout-color0, white);\n",
-       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
-       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
        "}\n",
        "\n",
        "html[theme=\"dark\"],\n",
        "html[data-theme=\"dark\"],\n",
        "body[data-theme=\"dark\"],\n",
        "body.vscode-dark {\n",
-       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
-       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
-       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
-       "  --xr-border-color: #1f1f1f;\n",
-       "  --xr-disabled-color: #515151;\n",
-       "  --xr-background-color: #111111;\n",
-       "  --xr-background-color-row-even: #111111;\n",
-       "  --xr-background-color-row-odd: #313131;\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
        "}\n",
        "\n",
        ".xr-wrap {\n",
        "  display: block !important;\n",
        "  min-width: 300px;\n",
        "  max-width: 700px;\n",
+       "  line-height: 1.6;\n",
        "}\n",
        "\n",
        ".xr-text-repr-fallback {\n",
@@ -161,11 +209,18 @@
        "}\n",
        "\n",
        ".xr-obj-type,\n",
-       ".xr-array-name {\n",
+       ".xr-obj-name,\n",
+       ".xr-group-name {\n",
        "  margin-left: 2px;\n",
        "  margin-right: 10px;\n",
        "}\n",
        "\n",
+       ".xr-group-name::before {\n",
+       "  content: \"📁\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-name,\n",
        ".xr-obj-type {\n",
        "  color: var(--xr-font-color2);\n",
        "}\n",
@@ -174,6 +229,8 @@
        "  padding-left: 0 !important;\n",
        "  display: grid;\n",
        "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "  margin-block-start: 0;\n",
+       "  margin-block-end: 0;\n",
        "}\n",
        "\n",
        ".xr-section-item {\n",
@@ -184,10 +241,12 @@
        "  display: inline-block;\n",
        "  opacity: 0;\n",
        "  height: 0;\n",
+       "  margin: 0;\n",
        "}\n",
        "\n",
        ".xr-section-item input + label {\n",
        "  color: var(--xr-disabled-color);\n",
+       "  border: 2px solid transparent !important;\n",
        "}\n",
        "\n",
        ".xr-section-item input:enabled + label {\n",
@@ -196,7 +255,7 @@
        "}\n",
        "\n",
        ".xr-section-item input:focus + label {\n",
-       "  border: 2px solid var(--xr-font-color0);\n",
+       "  border: 2px solid var(--xr-font-color0) !important;\n",
        "}\n",
        "\n",
        ".xr-section-item input:enabled + label:hover {\n",
@@ -241,7 +300,6 @@
        ".xr-section-summary,\n",
        ".xr-section-inline-details {\n",
        "  padding-top: 4px;\n",
-       "  padding-bottom: 4px;\n",
        "}\n",
        "\n",
        ".xr-section-inline-details {\n",
@@ -251,6 +309,7 @@
        ".xr-section-details {\n",
        "  display: none;\n",
        "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
        "  margin-bottom: 5px;\n",
        "}\n",
        "\n",
@@ -258,6 +317,32 @@
        "  display: contents;\n",
        "}\n",
        "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 20px auto;\n",
+       "  width: 100%;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 20px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "}\n",
+       "\n",
        ".xr-array-wrap {\n",
        "  grid-column: 1 / -1;\n",
        "  display: grid;\n",
@@ -328,7 +413,9 @@
        ".xr-var-item label,\n",
        ".xr-var-item > .xr-var-name span {\n",
        "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
        "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
        "}\n",
        "\n",
        ".xr-var-item > .xr-var-name:hover span {\n",
@@ -339,6 +426,7 @@
        ".xr-var-list > li:nth-child(odd) > label,\n",
        ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
        "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
        "}\n",
        "\n",
        ".xr-var-name {\n",
@@ -388,8 +476,15 @@
        ".xr-var-data,\n",
        ".xr-index-data {\n",
        "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
        "}\n",
        "\n",
        ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
@@ -402,6 +497,12 @@
        "  float: right;\n",
        "}\n",
        "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
        ".xr-var-name span,\n",
        ".xr-var-data,\n",
        ".xr-index-name div,\n",
@@ -461,6 +562,14 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 11MB\n",
        "Dimensions:                 (time: 18073, time_altraw: 35, range: 13, beam: 4,\n",
        "                             dir: 4, dirIMU: 3, n_altraw: 2583, x1: 4, x2: 4,\n",
@@ -504,10 +613,10 @@
        "    fs:                    1\n",
        "    bandwidth:             &quot;BROAD&quot;\n",
        "    has_imu:               0\n",
-       "    beam_angle:            20</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-73387bb8-ff17-4a70-ae1e-d28a835b009f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-73387bb8-ff17-4a70-ae1e-d28a835b009f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 18073</li><li><span class='xr-has-index'>time_altraw</span>: 35</li><li><span class='xr-has-index'>range</span>: 13</li><li><span class='xr-has-index'>beam</span>: 4</li><li><span class='xr-has-index'>dir</span>: 4</li><li><span class='xr-has-index'>dirIMU</span>: 3</li><li><span>n_altraw</span>: 2583</li><li><span class='xr-has-index'>x1</span>: 4</li><li><span class='xr-has-index'>x2</span>: 4</li><li><span class='xr-has-index'>earth</span>: 3</li><li><span class='xr-has-index'>inst</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-27c70c72-cbfa-4901-8a76-d6732546a6f3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-27c70c72-cbfa-4901-8a76-d6732546a6f3' class='xr-section-summary' >Coordinates: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2024-10-22T19:29:36.334399938 .....</div><input id='attrs-350fc6a3-4a51-4516-852d-72c058e09c1c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-350fc6a3-4a51-4516-852d-72c058e09c1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0454cb8e-de6e-4294-92e8-71f7c12e30bb' class='xr-var-data-in' type='checkbox'><label for='data-0454cb8e-de6e-4294-92e8-71f7c12e30bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2024-10-22T19:29:36.334399938&#x27;, &#x27;2024-10-22T19:29:37.334399938&#x27;,\n",
+       "    beam_angle:            20</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5d999aca-1678-4838-a66b-eb7dc2983e73' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5d999aca-1678-4838-a66b-eb7dc2983e73' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 18073</li><li><span class='xr-has-index'>time_altraw</span>: 35</li><li><span class='xr-has-index'>range</span>: 13</li><li><span class='xr-has-index'>beam</span>: 4</li><li><span class='xr-has-index'>dir</span>: 4</li><li><span class='xr-has-index'>dirIMU</span>: 3</li><li><span>n_altraw</span>: 2583</li><li><span class='xr-has-index'>x1</span>: 4</li><li><span class='xr-has-index'>x2</span>: 4</li><li><span class='xr-has-index'>earth</span>: 3</li><li><span class='xr-has-index'>inst</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c7caa3aa-86df-4606-aeaa-a0c72cf41d90' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c7caa3aa-86df-4606-aeaa-a0c72cf41d90' class='xr-section-summary' >Coordinates: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2024-10-22T19:29:36.334399938 .....</div><input id='attrs-a0951f09-1486-4d1d-baad-53c7a01eb31c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0951f09-1486-4d1d-baad-53c7a01eb31c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f81df920-491e-447b-949f-dd117b36fd88' class='xr-var-data-in' type='checkbox'><label for='data-f81df920-491e-447b-949f-dd117b36fd88' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2024-10-22T19:29:36.334399938&#x27;, &#x27;2024-10-22T19:29:37.334399938&#x27;,\n",
        "       &#x27;2024-10-22T19:29:38.334399938&#x27;, ..., &#x27;2024-10-23T04:10:38.334399938&#x27;,\n",
        "       &#x27;2024-10-23T04:10:39.334199905&#x27;, &#x27;2024-10-23T04:10:40.334399938&#x27;],\n",
-       "      shape=(18073,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time_altraw</span></div><div class='xr-var-dims'>(time_altraw)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2024-10-22T19:29:36.000999927 .....</div><input id='attrs-a83feb10-8d6d-4ad1-ac67-586f62800524' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a83feb10-8d6d-4ad1-ac67-586f62800524' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5dc11762-06c3-4059-8f71-42ce8da479da' class='xr-var-data-in' type='checkbox'><label for='data-5dc11762-06c3-4059-8f71-42ce8da479da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd><dt><span>long_name :</span></dt><dd>Time altraw</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2024-10-22T19:29:36.000999927&#x27;, &#x27;2024-10-22T19:46:39.000999927&#x27;,\n",
+       "      shape=(18073,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time_altraw</span></div><div class='xr-var-dims'>(time_altraw)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2024-10-22T19:29:36.000999927 .....</div><input id='attrs-62e065c8-7144-459e-a541-387bcd6cc0d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62e065c8-7144-459e-a541-387bcd6cc0d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6737f532-67fb-445d-972f-4eb75b517b0f' class='xr-var-data-in' type='checkbox'><label for='data-6737f532-67fb-445d-972f-4eb75b517b0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd><dt><span>long_name :</span></dt><dd>Time altraw</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2024-10-22T19:29:36.000999927&#x27;, &#x27;2024-10-22T19:46:39.000999927&#x27;,\n",
        "       &#x27;2024-10-22T19:59:36.000999927&#x27;, &#x27;2024-10-22T20:16:39.000999927&#x27;,\n",
        "       &#x27;2024-10-22T20:29:36.000999927&#x27;, &#x27;2024-10-22T20:46:39.000999927&#x27;,\n",
        "       &#x27;2024-10-22T20:59:36.000999927&#x27;, &#x27;2024-10-22T21:16:39.000999927&#x27;,\n",
@@ -524,26 +633,26 @@
        "       &#x27;2024-10-23T02:29:36.000999927&#x27;, &#x27;2024-10-23T02:46:39.000999927&#x27;,\n",
        "       &#x27;2024-10-23T02:59:36.000999927&#x27;, &#x27;2024-10-23T03:16:39.000999927&#x27;,\n",
        "       &#x27;2024-10-23T03:29:36.000999927&#x27;, &#x27;2024-10-23T03:46:39.000999927&#x27;,\n",
-       "       &#x27;2024-10-23T03:59:36.000999927&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>38.7 42.2 45.7 ... 73.7 77.2 80.7</div><input id='attrs-53fed162-6709-4959-a5d8-201416b8999f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53fed162-6709-4959-a5d8-201416b8999f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7330cf07-c451-4027-a6ed-e43f3d8e2f2d' class='xr-var-data-in' type='checkbox'><label for='data-7330cf07-c451-4027-a6ed-e43f3d8e2f2d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Profile Range</dd><dt><span>description :</span></dt><dd>Distance to the center of each depth bin</dd></dl></div><div class='xr-var-data'><pre>array([38.7, 42.2, 45.7, 49.2, 52.7, 56.2, 59.7, 63.2, 66.7, 70.2, 73.7, 77.2,\n",
-       "       80.7])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beam</span></div><div class='xr-var-dims'>(beam)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-ef7db9ae-55b6-4a12-9776-70aaae2e400c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef7db9ae-55b6-4a12-9776-70aaae2e400c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6232025-af30-4bb2-80a8-3a057008a4c2' class='xr-var-data-in' type='checkbox'><label for='data-a6232025-af30-4bb2-80a8-3a057008a4c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Beam Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dir</span></div><div class='xr-var-dims'>(dir)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-3a01b450-c477-4353-8e47-db9fe814c450' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a01b450-c477-4353-8e47-db9fe814c450' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fac65951-3380-4519-8ee1-506ead0d5c7e' class='xr-var-data-in' type='checkbox'><label for='data-fac65951-3380-4519-8ee1-506ead0d5c7e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>ref_frame :</span></dt><dd>beam</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dirIMU</span></div><div class='xr-var-dims'>(dirIMU)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;X&#x27; &#x27;Y&#x27; &#x27;Z&#x27;</div><input id='attrs-21a9de9c-0c8a-4c32-8cc6-2093c588b3e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21a9de9c-0c8a-4c32-8cc6-2093c588b3e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7148f06d-250c-48ea-af49-bc641a440ab7' class='xr-var-data-in' type='checkbox'><label for='data-7148f06d-250c-48ea-af49-bc641a440ab7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>ref_frame :</span></dt><dd>beam</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;X&#x27;, &#x27;Y&#x27;, &#x27;Z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x1</span></div><div class='xr-var-dims'>(x1)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-fe5abe59-7bfe-4c4c-a098-56b744a76e91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe5abe59-7bfe-4c4c-a098-56b744a76e91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9dda39fb-7e49-4532-82d4-879deeb89bf6' class='xr-var-data-in' type='checkbox'><label for='data-9dda39fb-7e49-4532-82d4-879deeb89bf6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x2</span></div><div class='xr-var-dims'>(x2)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-d4fa9332-8b4c-4c7e-8b61-810c37b99b9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4fa9332-8b4c-4c7e-8b61-810c37b99b9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97718d04-c918-4c2c-aebe-1894d35366fc' class='xr-var-data-in' type='checkbox'><label for='data-97718d04-c918-4c2c-aebe-1894d35366fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>earth</span></div><div class='xr-var-dims'>(earth)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;</div><input id='attrs-eafcd6d5-996d-4074-a5ed-f31aa2267539' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eafcd6d5-996d-4074-a5ed-f31aa2267539' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-966715da-7d57-49d8-9f64-d8a6c9c88221' class='xr-var-data-in' type='checkbox'><label for='data-966715da-7d57-49d8-9f64-d8a6c9c88221' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Earth Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>inst</span></div><div class='xr-var-dims'>(inst)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;X&#x27; &#x27;Y&#x27; &#x27;Z&#x27;</div><input id='attrs-4c1da1c1-472d-4c5d-a982-999437fd7b63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c1da1c1-472d-4c5d-a982-999437fd7b63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b541531-af2c-45cd-be99-47e20225ff94' class='xr-var-data-in' type='checkbox'><label for='data-4b541531-af2c-45cd-be99-47e20225ff94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Instrument Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;X&#x27;, &#x27;Y&#x27;, &#x27;Z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-23a85adb-4f1f-4474-9918-711e537d8c41' class='xr-section-summary-in' type='checkbox'  ><label for='section-23a85adb-4f1f-4474-9918-711e537d8c41' class='xr-section-summary' >Data variables: <span>(39)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>c_sound</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.503e+03 1.503e+03 ... 1.485e+03</div><input id='attrs-9a1b7651-c756-4536-ac7d-e6035a7d1292' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a1b7651-c756-4536-ac7d-e6035a7d1292' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a50ef2ee-0433-4e59-95bd-7532c123e2fc' class='xr-var-data-in' type='checkbox'><label for='data-a50ef2ee-0433-4e59-95bd-7532c123e2fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Speed of Sound</dd><dt><span>standard_name :</span></dt><dd>speed_of_sound_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([1503.2, 1503.2, 1503.2, ..., 1484.6, 1484.5, 1484.6],\n",
-       "      shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>13.93 13.92 13.92 ... 8.23 8.23</div><input id='attrs-58234fe8-4d64-4dbd-99ff-08ceeb89ccc8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58234fe8-4d64-4dbd-99ff-08ceeb89ccc8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e458078-e7e7-4df7-9f70-c59564dbedf7' class='xr-var-data-in' type='checkbox'><label for='data-0e458078-e7e7-4df7-9f70-c59564dbedf7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd></dl></div><div class='xr-var-data'><pre>array([13.93, 13.92, 13.92, ...,  8.23,  8.23,  8.23],\n",
-       "      shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.768 0.765 0.762 ... 74.71 74.71</div><input id='attrs-c662c573-491e-44ce-aa86-4f9e6c511913' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c662c573-491e-44ce-aa86-4f9e6c511913' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-113b1785-2e28-41d7-b802-f20174c725bd' class='xr-var-data-in' type='checkbox'><label for='data-113b1785-2e28-41d7-b802-f20174c725bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dbar</dd><dt><span>long_name :</span></dt><dd>Pressure</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd></dl></div><div class='xr-var-data'><pre>array([ 0.768,  0.765,  0.762, ..., 74.694, 74.706, 74.711],\n",
-       "      shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heading</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>216.1 215.8 216.7 ... 212.7 212.9</div><input id='attrs-4d728563-cd12-4b75-92cf-2f5e003c40a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d728563-cd12-4b75-92cf-2f5e003c40a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78383fa9-b0e4-4d41-b9e0-24b5b44bfd30' class='xr-var-data-in' type='checkbox'><label for='data-78383fa9-b0e4-4d41-b9e0-24b5b44bfd30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Heading</dd><dt><span>standard_name :</span></dt><dd>platform_orientation</dd></dl></div><div class='xr-var-data'><pre>array([216.09, 215.8 , 216.7 , ..., 212.88, 212.72, 212.95],\n",
-       "      shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pitch</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-27.59 -28.03 -29.35 ... 2.21 2.22</div><input id='attrs-bf52dbc0-c274-4968-b0ad-1250476ba1f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf52dbc0-c274-4968-b0ad-1250476ba1f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84a8dc43-d59c-4d39-b557-94b9859e0b82' class='xr-var-data-in' type='checkbox'><label for='data-84a8dc43-d59c-4d39-b557-94b9859e0b82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Pitch</dd><dt><span>standard_name :</span></dt><dd>platform_pitch</dd></dl></div><div class='xr-var-data'><pre>array([-27.59, -28.03, -29.35, ...,   2.19,   2.21,   2.22],\n",
-       "      shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>roll</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>73.04 71.68 67.74 ... -0.36 -0.4</div><input id='attrs-a2ba103c-550c-4c48-a191-ae4284dd20e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2ba103c-550c-4c48-a191-ae4284dd20e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b8e8b50-6351-43ae-ad5f-68f98c39442b' class='xr-var-data-in' type='checkbox'><label for='data-0b8e8b50-6351-43ae-ad5f-68f98c39442b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Roll</dd><dt><span>standard_name :</span></dt><dd>platform_roll</dd></dl></div><div class='xr-var-data'><pre>array([73.04, 71.68, 67.74, ..., -0.38, -0.36, -0.4 ],\n",
-       "      shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mag</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>5.9 8.8 8.4 ... -60.9 -60.8 -60.9</div><input id='attrs-31c0002c-0d0b-489f-b6f1-974696770951' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31c0002c-0d0b-489f-b6f1-974696770951' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee0b1dcf-c40e-46fd-a282-1362f210328b' class='xr-var-data-in' type='checkbox'><label for='data-ee0b1dcf-c40e-46fd-a282-1362f210328b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>uT</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Compass</dd></dl></div><div class='xr-var-data'><pre>array([[  5.9,   8.8,   8.4, ..., -21.7, -21.8, -21.7],\n",
+       "       &#x27;2024-10-23T03:59:36.000999927&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>38.7 42.2 45.7 ... 73.7 77.2 80.7</div><input id='attrs-b480889a-2752-4d80-a556-14d2d3fa49e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b480889a-2752-4d80-a556-14d2d3fa49e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8f43935-6b41-4b38-8d68-1a480818f72e' class='xr-var-data-in' type='checkbox'><label for='data-f8f43935-6b41-4b38-8d68-1a480818f72e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Profile Range</dd><dt><span>description :</span></dt><dd>Distance to the center of each depth bin</dd></dl></div><div class='xr-var-data'><pre>array([38.7, 42.2, 45.7, 49.2, 52.7, 56.2, 59.7, 63.2, 66.7, 70.2, 73.7, 77.2,\n",
+       "       80.7])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beam</span></div><div class='xr-var-dims'>(beam)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-7a128d3d-f06e-4611-8b9d-eea8bd218e6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a128d3d-f06e-4611-8b9d-eea8bd218e6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb17efd8-df6d-42d7-9487-c4d7a003c709' class='xr-var-data-in' type='checkbox'><label for='data-bb17efd8-df6d-42d7-9487-c4d7a003c709' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Beam Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dir</span></div><div class='xr-var-dims'>(dir)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-9d8e48d2-05e1-4aa8-b3d2-69da9063835c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d8e48d2-05e1-4aa8-b3d2-69da9063835c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31cb655a-ab4b-450d-be6b-54a17704ea5c' class='xr-var-data-in' type='checkbox'><label for='data-31cb655a-ab4b-450d-be6b-54a17704ea5c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>ref_frame :</span></dt><dd>beam</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dirIMU</span></div><div class='xr-var-dims'>(dirIMU)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;X&#x27; &#x27;Y&#x27; &#x27;Z&#x27;</div><input id='attrs-e906626f-cef0-4bd6-a4fd-4c57ce51247c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e906626f-cef0-4bd6-a4fd-4c57ce51247c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a598964-fc16-44a5-bb04-641cf8c57cda' class='xr-var-data-in' type='checkbox'><label for='data-1a598964-fc16-44a5-bb04-641cf8c57cda' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>ref_frame :</span></dt><dd>beam</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;X&#x27;, &#x27;Y&#x27;, &#x27;Z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x1</span></div><div class='xr-var-dims'>(x1)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-9f561613-9800-4d14-907a-19e2ee16d103' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f561613-9800-4d14-907a-19e2ee16d103' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f88ae1a6-4daa-4e41-b553-61ac143ffc68' class='xr-var-data-in' type='checkbox'><label for='data-f88ae1a6-4daa-4e41-b553-61ac143ffc68' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x2</span></div><div class='xr-var-dims'>(x2)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4</div><input id='attrs-1b6bcf3d-bfce-4941-ad0d-8cd07a48962e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b6bcf3d-bfce-4941-ad0d-8cd07a48962e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54dbc7f9-5458-4da4-bba5-1f3c23680b94' class='xr-var-data-in' type='checkbox'><label for='data-54dbc7f9-5458-4da4-bba5-1f3c23680b94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3, 4], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>earth</span></div><div class='xr-var-dims'>(earth)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;</div><input id='attrs-e32a7cd2-e4e7-4733-8a25-a915f4f25ed4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e32a7cd2-e4e7-4733-8a25-a915f4f25ed4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-848f9801-4af8-4273-b8d8-d6af17cf7125' class='xr-var-data-in' type='checkbox'><label for='data-848f9801-4af8-4273-b8d8-d6af17cf7125' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Earth Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>inst</span></div><div class='xr-var-dims'>(inst)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;X&#x27; &#x27;Y&#x27; &#x27;Z&#x27;</div><input id='attrs-482c3815-d1d8-4a0c-9906-a4c105ae5108' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-482c3815-d1d8-4a0c-9906-a4c105ae5108' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92047868-1584-4ae7-ae74-ae8f784bf576' class='xr-var-data-in' type='checkbox'><label for='data-92047868-1584-4ae7-ae74-ae8f784bf576' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Instrument Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;X&#x27;, &#x27;Y&#x27;, &#x27;Z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a573ed7c-ccb0-4f73-b9cf-d31743ebb182' class='xr-section-summary-in' type='checkbox'  ><label for='section-a573ed7c-ccb0-4f73-b9cf-d31743ebb182' class='xr-section-summary' >Data variables: <span>(39)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>c_sound</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.503e+03 1.503e+03 ... 1.485e+03</div><input id='attrs-a54c0da6-de6a-4ecb-85dc-6b01a15ed416' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a54c0da6-de6a-4ecb-85dc-6b01a15ed416' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7749a1bb-8b02-45ff-b205-cd1128bb7752' class='xr-var-data-in' type='checkbox'><label for='data-7749a1bb-8b02-45ff-b205-cd1128bb7752' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Speed of Sound</dd><dt><span>standard_name :</span></dt><dd>speed_of_sound_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([1503.2, 1503.2, 1503.2, ..., 1484.6, 1484.5, 1484.6],\n",
+       "      shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>13.93 13.92 13.92 ... 8.23 8.23</div><input id='attrs-025bbdc9-a713-4ee2-bd2a-2457abc667d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-025bbdc9-a713-4ee2-bd2a-2457abc667d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d199a491-6d9a-4cee-a1fb-306d816d9105' class='xr-var-data-in' type='checkbox'><label for='data-d199a491-6d9a-4cee-a1fb-306d816d9105' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd></dl></div><div class='xr-var-data'><pre>array([13.93, 13.92, 13.92, ...,  8.23,  8.23,  8.23],\n",
+       "      shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.768 0.765 0.762 ... 74.71 74.71</div><input id='attrs-2f678b9a-815f-4b48-8c7d-fea6de6d3863' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f678b9a-815f-4b48-8c7d-fea6de6d3863' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7af5288-d2a7-431c-89b2-3ac45cfff57d' class='xr-var-data-in' type='checkbox'><label for='data-e7af5288-d2a7-431c-89b2-3ac45cfff57d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dbar</dd><dt><span>long_name :</span></dt><dd>Pressure</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd></dl></div><div class='xr-var-data'><pre>array([ 0.768,  0.765,  0.762, ..., 74.694, 74.706, 74.711],\n",
+       "      shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heading</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>216.1 215.8 216.7 ... 212.7 212.9</div><input id='attrs-99367d76-603e-4887-8f01-19db9dcee92e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99367d76-603e-4887-8f01-19db9dcee92e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-191b6e6b-d697-428b-9708-f408b829b1eb' class='xr-var-data-in' type='checkbox'><label for='data-191b6e6b-d697-428b-9708-f408b829b1eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Heading</dd><dt><span>standard_name :</span></dt><dd>platform_orientation</dd></dl></div><div class='xr-var-data'><pre>array([216.09, 215.8 , 216.7 , ..., 212.88, 212.72, 212.95],\n",
+       "      shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pitch</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-27.59 -28.03 -29.35 ... 2.21 2.22</div><input id='attrs-0ed157b7-9e3c-441c-bb17-0a45517876d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ed157b7-9e3c-441c-bb17-0a45517876d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1bf99de-922b-44f3-824d-87336cccd4a7' class='xr-var-data-in' type='checkbox'><label for='data-d1bf99de-922b-44f3-824d-87336cccd4a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Pitch</dd><dt><span>standard_name :</span></dt><dd>platform_pitch</dd></dl></div><div class='xr-var-data'><pre>array([-27.59, -28.03, -29.35, ...,   2.19,   2.21,   2.22],\n",
+       "      shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>roll</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>73.04 71.68 67.74 ... -0.36 -0.4</div><input id='attrs-70225c8c-c8bd-412a-bdd5-b6b0cca70cd1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70225c8c-c8bd-412a-bdd5-b6b0cca70cd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbaea8c3-cda8-41d4-8543-4d6ac43e3ad6' class='xr-var-data-in' type='checkbox'><label for='data-dbaea8c3-cda8-41d4-8543-4d6ac43e3ad6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Roll</dd><dt><span>standard_name :</span></dt><dd>platform_roll</dd></dl></div><div class='xr-var-data'><pre>array([73.04, 71.68, 67.74, ..., -0.38, -0.36, -0.4 ],\n",
+       "      shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mag</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>5.9 8.8 8.4 ... -60.9 -60.8 -60.9</div><input id='attrs-9c02d73c-1ab9-4824-bb2c-00ed13e32809' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c02d73c-1ab9-4824-bb2c-00ed13e32809' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ab23978-23b5-4891-87d7-326a67f846ab' class='xr-var-data-in' type='checkbox'><label for='data-2ab23978-23b5-4891-87d7-326a67f846ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>uT</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Compass</dd></dl></div><div class='xr-var-data'><pre>array([[  5.9,   8.8,   8.4, ..., -21.7, -21.8, -21.7],\n",
        "       [-57.6, -56.9, -56.9, ..., -12.1, -12.1, -12.1],\n",
        "       [ -1.9,  -4.9,  -7.3, ..., -60.9, -60.8, -60.9]],\n",
-       "      shape=(3, 18073), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>accel</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-4.489 -4.6 -4.715 ... 9.773 9.777</div><input id='attrs-d26746c4-67d4-4f14-a377-4519ffd73bd0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d26746c4-67d4-4f14-a377-4519ffd73bd0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86efcf88-f7ff-4b64-9bea-6c588e5a2b79' class='xr-var-data-in' type='checkbox'><label for='data-86efcf88-f7ff-4b64-9bea-6c588e5a2b79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-2</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acceleration</dd></dl></div><div class='xr-var-data'><pre>array([[-4.4888654 , -4.6002336 , -4.714596  , ...,  0.37541932,\n",
+       "      shape=(3, 18073), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>accel</span></div><div class='xr-var-dims'>(dirIMU, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-4.489 -4.6 -4.715 ... 9.773 9.777</div><input id='attrs-cf0d45e1-8fbc-4d91-9fb6-156ed9f78c79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf0d45e1-8fbc-4d91-9fb6-156ed9f78c79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99f66ea4-1ac5-4209-b1f4-4f665a3e368c' class='xr-var-data-in' type='checkbox'><label for='data-99f66ea4-1ac5-4209-b1f4-4f665a3e368c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-2</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acceleration</dd></dl></div><div class='xr-var-data'><pre>array([[-4.4888654 , -4.6002336 , -4.714596  , ...,  0.37541932,\n",
        "         0.37781432,  0.38020936],\n",
        "       [ 8.21312   ,  8.201145  ,  7.7568693 , ..., -0.06586304,\n",
        "        -0.06346802, -0.06825805],\n",
        "       [ 2.503993  ,  2.7147546 ,  3.1745985 , ...,  9.772877  ,\n",
-       "         9.772877  ,  9.777068  ]], shape=(3, 18073), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>batt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>23.4 23.4 23.4 ... 18.5 18.5 18.5</div><input id='attrs-6e108b4b-c6ea-43e1-af15-516e824500b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e108b4b-c6ea-43e1-af15-516e824500b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-091ff0a7-b374-407b-9409-bf1eed6d19e7' class='xr-var-data-in' type='checkbox'><label for='data-091ff0a7-b374-407b-9409-bf1eed6d19e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>V</dd><dt><span>long_name :</span></dt><dd>Battery Voltage</dd><dt><span>standard_name :</span></dt><dd>battery_voltage</dd></dl></div><div class='xr-var-data'><pre>array([23.4, 23.4, 23.4, ..., 18.5, 18.5, 18.5],\n",
-       "      shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_clock</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>19.75 19.75 19.75 ... 9.75 9.75</div><input id='attrs-77f41760-8bbb-4917-939f-0a355b82901b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77f41760-8bbb-4917-939f-0a355b82901b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-214e9e4b-9e26-43ed-a3ac-63a70dd39317' class='xr-var-data-in' type='checkbox'><label for='data-214e9e4b-9e26-43ed-a3ac-63a70dd39317' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Internal Clock Temperature</dd></dl></div><div class='xr-var-data'><pre>array([19.75, 19.75, 19.75, ...,  9.75,  9.75,  9.75],\n",
-       "      shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>error</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-f68cecff-ef50-4eba-92a0-9633402adf22' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f68cecff-ef50-4eba-92a0-9633402adf22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-183c312e-2364-45a9-961e-547ec67eead6' class='xr-var-data-in' type='checkbox'><label for='data-183c312e-2364-45a9-961e-547ec67eead6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Error Code</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(18073,), dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>675807234 675807234 ... 944504834</div><input id='attrs-1e4bf90a-0b05-4c18-b072-21533f2b3eca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e4bf90a-0b05-4c18-b072-21533f2b3eca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8f9e70a-eebd-474f-8535-a5cca8fb0662' class='xr-var-data-in' type='checkbox'><label for='data-b8f9e70a-eebd-474f-8535-a5cca8fb0662' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Status Code</dd></dl></div><div class='xr-var-data'><pre>array([675807234, 675807234, 675807234, ..., 944504834, 944504834,\n",
-       "       944504834], shape=(18073,), dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ensemble</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>1 2 3 4 ... 24285 24287 24289 24291</div><input id='attrs-f2725916-7755-4c32-8d36-b22ba1239c2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2725916-7755-4c32-8d36-b22ba1239c2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26f9b5d1-c9e4-4896-b699-dfc29c58a7e4' class='xr-var-data-in' type='checkbox'><label for='data-26f9b5d1-c9e4-4896-b699-dfc29c58a7e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>#</dd><dt><span>long_name :</span></dt><dd>Ensemble Number</dd><dt><span>standard_name :</span></dt><dd>number_of_observations</dd></dl></div><div class='xr-var-data'><pre>array([    1,     2,     3, ..., 24287, 24289, 24291],\n",
-       "      shape=(18073,), dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vel</span></div><div class='xr-var-dims'>(dir, range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.231 -2.796 0.219 ... -0.264 0.694</div><input id='attrs-c423276c-a8fe-466b-a156-d7243e75df98' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c423276c-a8fe-466b-a156-d7243e75df98' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81675a96-bab9-4be0-8ca3-f4de51cab812' class='xr-var-data-in' type='checkbox'><label for='data-81675a96-bab9-4be0-8ca3-f4de51cab812' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Water Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[ 1.231e+00, -2.796e+00,  2.190e-01, ...,  1.280e-01,\n",
+       "         9.772877  ,  9.777068  ]], shape=(3, 18073), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>batt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>23.4 23.4 23.4 ... 18.5 18.5 18.5</div><input id='attrs-06300640-9ae8-4611-a8f4-d8ae7c8d246d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-06300640-9ae8-4611-a8f4-d8ae7c8d246d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-847024c3-c198-471c-b272-d7e703c855e5' class='xr-var-data-in' type='checkbox'><label for='data-847024c3-c198-471c-b272-d7e703c855e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>V</dd><dt><span>long_name :</span></dt><dd>Battery Voltage</dd><dt><span>standard_name :</span></dt><dd>battery_voltage</dd></dl></div><div class='xr-var-data'><pre>array([23.4, 23.4, 23.4, ..., 18.5, 18.5, 18.5],\n",
+       "      shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_clock</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>19.75 19.75 19.75 ... 9.75 9.75</div><input id='attrs-8f8395e7-da3e-471c-a49e-f77a80a2687b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f8395e7-da3e-471c-a49e-f77a80a2687b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3315053-15f2-41fc-8411-27ba60694b30' class='xr-var-data-in' type='checkbox'><label for='data-d3315053-15f2-41fc-8411-27ba60694b30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Internal Clock Temperature</dd></dl></div><div class='xr-var-data'><pre>array([19.75, 19.75, 19.75, ...,  9.75,  9.75,  9.75],\n",
+       "      shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>error</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-be55a666-829b-4bae-b954-7668554cada0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be55a666-829b-4bae-b954-7668554cada0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7ca32ff-a69e-4c53-bfa4-e057464df7dd' class='xr-var-data-in' type='checkbox'><label for='data-a7ca32ff-a69e-4c53-bfa4-e057464df7dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Error Code</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(18073,), dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>675807234 675807234 ... 944504834</div><input id='attrs-e67c54cc-26aa-4da6-a682-7f0fa6dcd01a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e67c54cc-26aa-4da6-a682-7f0fa6dcd01a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a09841e0-3bc1-44e5-8392-ee0107aece0c' class='xr-var-data-in' type='checkbox'><label for='data-a09841e0-3bc1-44e5-8392-ee0107aece0c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Status Code</dd></dl></div><div class='xr-var-data'><pre>array([675807234, 675807234, 675807234, ..., 944504834, 944504834,\n",
+       "       944504834], shape=(18073,), dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ensemble</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>1 2 3 4 ... 24285 24287 24289 24291</div><input id='attrs-4a5bdc63-be24-46b4-81a6-3a7f0f84b72f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a5bdc63-be24-46b4-81a6-3a7f0f84b72f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b4b1f06-ac65-400b-bf6f-ba2f22bf52a6' class='xr-var-data-in' type='checkbox'><label for='data-5b4b1f06-ac65-400b-bf6f-ba2f22bf52a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>#</dd><dt><span>long_name :</span></dt><dd>Ensemble Number</dd><dt><span>standard_name :</span></dt><dd>number_of_observations</dd></dl></div><div class='xr-var-data'><pre>array([    1,     2,     3, ..., 24287, 24289, 24291],\n",
+       "      shape=(18073,), dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vel</span></div><div class='xr-var-dims'>(dir, range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.231 -2.796 0.219 ... -0.264 0.694</div><input id='attrs-f87b142e-8c08-46fa-84fd-11eb44d61d45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f87b142e-8c08-46fa-84fd-11eb44d61d45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c7f9ab0-6a25-461b-9dad-14c7e1425bed' class='xr-var-data-in' type='checkbox'><label for='data-6c7f9ab0-6a25-461b-9dad-14c7e1425bed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Water Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[ 1.231e+00, -2.796e+00,  2.190e-01, ...,  1.280e-01,\n",
        "          6.200e-02,  6.400e-02],\n",
        "        [-4.220e+00, -1.316e+00,  1.423e+00, ...,  8.900e-02,\n",
        "          3.900e-02,  8.000e-03],\n",
@@ -583,7 +692,7 @@
        "        [-1.834e+00,  3.931e+00, -2.047e+00, ..., -2.470e-01,\n",
        "         -5.820e-01,  3.050e-01],\n",
        "        [-2.065e+00,  5.129e+00,  4.794e+00, ..., -6.620e-01,\n",
-       "         -2.640e-01,  6.940e-01]]], shape=(4, 13, 18073), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>amp</span></div><div class='xr-var-dims'>(beam, range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>38.5 39.5 36.5 ... 48.0 43.0 46.5</div><input id='attrs-cfd8139d-1961-4ebe-9c3d-92b0c5977e83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cfd8139d-1961-4ebe-9c3d-92b0c5977e83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0991d93-62c5-4eb3-9569-402c2d9f4b8a' class='xr-var-data-in' type='checkbox'><label for='data-e0991d93-62c5-4eb3-9569-402c2d9f4b8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Amplitude</dd><dt><span>standard_name :</span></dt><dd>signal_intensity_from_multibeam_acoustic_doppler_velocity_sensor_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([[[ 38.5,  39.5,  36.5, ...,  45. ,  43. ,  42. ],\n",
+       "         -2.640e-01,  6.940e-01]]], shape=(4, 13, 18073), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>amp</span></div><div class='xr-var-dims'>(beam, range, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>38.5 39.5 36.5 ... 48.0 43.0 46.5</div><input id='attrs-7914c53a-36d6-4692-bd9a-b287aab32c81' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7914c53a-36d6-4692-bd9a-b287aab32c81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ff945e8-d2bb-4e29-b462-28236f17a268' class='xr-var-data-in' type='checkbox'><label for='data-5ff945e8-d2bb-4e29-b462-28236f17a268' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Amplitude</dd><dt><span>standard_name :</span></dt><dd>signal_intensity_from_multibeam_acoustic_doppler_velocity_sensor_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([[[ 38.5,  39.5,  36.5, ...,  45. ,  43. ,  42. ],\n",
        "        [ 34.5,  38.5,  37. , ...,  42.5,  41. ,  42. ],\n",
        "        [ 38.5,  36. ,  38.5, ...,  42.5,  41. ,  42. ],\n",
        "        ...,\n",
@@ -614,7 +723,7 @@
        "        [ 29.5,  31.5,  33.5, ...,  91. ,  89.5,  96. ],\n",
        "        [ 28.5,  33.5,  33.5, ...,  81. ,  71.5,  80. ],\n",
        "        [ 30. ,  31. ,  34.5, ...,  48. ,  43. ,  46.5]]],\n",
-       "      shape=(4, 13, 18073), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>corr</span></div><div class='xr-var-dims'>(beam, range, time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>26 65 32 45 32 1 ... 91 87 86 84 88</div><input id='attrs-74f69510-5da1-4e88-a1e7-01735d537de8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74f69510-5da1-4e88-a1e7-01735d537de8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95bf7d72-9d9f-49f8-8428-74653b70379e' class='xr-var-data-in' type='checkbox'><label for='data-95bf7d72-9d9f-49f8-8428-74653b70379e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>%</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Correlation</dd><dt><span>standard_name :</span></dt><dd>beam_consistency_indicator_from_multibeam_acoustic_doppler_velocity_profiler_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([[[ 26,  65,  32, ..., 100,  99,  95],\n",
+       "      shape=(4, 13, 18073), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>corr</span></div><div class='xr-var-dims'>(beam, range, time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>26 65 32 45 32 1 ... 91 87 86 84 88</div><input id='attrs-3cebf583-cc25-47c1-8c77-685315a2f4b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3cebf583-cc25-47c1-8c77-685315a2f4b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30ad181a-5bbe-4ae8-9577-cd864ad2a5ae' class='xr-var-data-in' type='checkbox'><label for='data-30ad181a-5bbe-4ae8-9577-cd864ad2a5ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>%</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Correlation</dd><dt><span>standard_name :</span></dt><dd>beam_consistency_indicator_from_multibeam_acoustic_doppler_velocity_profiler_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([[[ 26,  65,  32, ..., 100,  99,  95],\n",
        "        [ 21,  58,  34, ...,  98,  96,  98],\n",
        "        [ 20,  61,  50, ...,  98,  97,  97],\n",
        "        ...,\n",
@@ -645,47 +754,47 @@
        "        [ 27,  13,  64, ..., 100, 100, 100],\n",
        "        [  7,   5,  24, ...,  76,  50,  62],\n",
        "        [ 13,  20,  31, ...,  86,  84,  88]]],\n",
-       "      shape=(4, 13, 18073), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure_alt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.766 0.76 0.766 ... 74.7 74.71</div><input id='attrs-a55ec02e-d476-4301-8a55-2fb4ecbbd7a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a55ec02e-d476-4301-8a55-2fb4ecbbd7a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd70aedd-1080-4963-a4bb-b91f7ada2d69' class='xr-var-data-in' type='checkbox'><label for='data-dd70aedd-1080-4963-a4bb-b91f7ada2d69' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dbar</dd><dt><span>long_name :</span></dt><dd>Pressure measured during AST ping</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd></dl></div><div class='xr-var-data'><pre>array([ 0.766,  0.76 ,  0.766, ..., 74.672, 74.703, 74.707],\n",
-       "      shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>le_dist_alt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>42.22 42.22 42.22 ... 73.36 73.73</div><input id='attrs-7f3c0de6-4375-47e0-82c1-2632fb2f41f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f3c0de6-4375-47e0-82c1-2632fb2f41f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7539dee0-96d7-413e-afbd-5be9ae33d328' class='xr-var-data-in' type='checkbox'><label for='data-7539dee0-96d7-413e-afbd-5be9ae33d328' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Altimeter Range Leading Edge Algorithm</dd><dt><span>standard_name :</span></dt><dd>altimeter_range</dd></dl></div><div class='xr-var-data'><pre>array([42.22273 , 42.222515, 42.222153, ..., 73.09078 , 73.35817 ,\n",
-       "       73.73138 ], shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>le_quality_alt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 168.8 150.8 171.1</div><input id='attrs-68f066e2-66c7-49db-8a10-c14a1aa7fab2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68f066e2-66c7-49db-8a10-c14a1aa7fab2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ace59c6d-9b22-4368-8846-07366617a7c0' class='xr-var-data-in' type='checkbox'><label for='data-ace59c6d-9b22-4368-8846-07366617a7c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Altimeter Quality Indicator Leading Edge Algorithm</dd></dl></div><div class='xr-var-data'><pre>array([  0.  ,   0.  ,   0.  , ..., 168.79, 150.79, 171.05],\n",
-       "      shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ast_dist_alt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 73.21 73.48 73.87</div><input id='attrs-b3e4dce1-876a-4e92-bf55-b6a63b1265a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3e4dce1-876a-4e92-bf55-b6a63b1265a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad0962f4-0c82-44da-aea9-22de34da1fc4' class='xr-var-data-in' type='checkbox'><label for='data-ad0962f4-0c82-44da-aea9-22de34da1fc4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Altimeter Range Acoustic Surface Tracking</dd><dt><span>standard_name :</span></dt><dd>altimeter_range</dd></dl></div><div class='xr-var-data'><pre>array([ 0.      ,  0.      ,  0.      , ..., 73.210526, 73.476036,\n",
-       "       73.86819 ], shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ast_quality_alt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 58.44 58.52 61.61</div><input id='attrs-043e8363-cbf8-4e3a-bc47-c8d20be06070' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-043e8363-cbf8-4e3a-bc47-c8d20be06070' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-550717ee-26bb-4f02-917b-877dea03a7da' class='xr-var-data-in' type='checkbox'><label for='data-550717ee-26bb-4f02-917b-877dea03a7da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Altimeter Quality Indicator Acoustic Surface Tracking</dd></dl></div><div class='xr-var-data'><pre>array([ 0.  ,  0.  ,  0.  , ..., 58.44, 58.52, 61.61],\n",
-       "      shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ast_offset_time_alt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.3334 -0.3333 ... -0.3331 -0.3333</div><input id='attrs-8c7eb74e-d75b-4cd4-81e3-8c3923ca04e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c7eb74e-d75b-4cd4-81e3-8c3923ca04e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64927e71-1cd2-4937-ba97-52191fcf8ef6' class='xr-var-data-in' type='checkbox'><label for='data-64927e71-1cd2-4937-ba97-52191fcf8ef6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s</dd><dt><span>long_name :</span></dt><dd>Acoustic Surface Tracking Time Offset to Velocity Ping</dd></dl></div><div class='xr-var-data'><pre>array([-0.3334, -0.3333, -0.3332, ..., -0.3333, -0.3331, -0.3333],\n",
-       "      shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_press</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>12.4 12.4 12.4 12.4 ... 7.0 7.0 7.0</div><input id='attrs-2a316ee4-6443-43f2-a28b-6112a316f9ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a316ee4-6443-43f2-a28b-6112a316f9ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd6922c9-c0b0-4331-a132-820cc43d410d' class='xr-var-data-in' type='checkbox'><label for='data-fd6922c9-c0b0-4331-a132-820cc43d410d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Pressure Sensor Temperature</dd></dl></div><div class='xr-var-data'><pre>array([12.4, 12.4, 12.4, ...,  7. ,  7. ,  7. ],\n",
-       "      shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xmit_energy</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>170 169 169 169 ... 194 194 194 194</div><input id='attrs-cada8132-eada-463a-a522-f666fad7741d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cada8132-eada-463a-a522-f666fad7741d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35aa781a-198c-4874-8580-d41e70e08c32' class='xr-var-data-in' type='checkbox'><label for='data-35aa781a-198c-4874-8580-d41e70e08c32' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Sound Pressure Level of Acoustic Signal</dd></dl></div><div class='xr-var-data'><pre>array([170, 169, 169, ..., 194, 194, 194], shape=(18073,), dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure_altraw</span></div><div class='xr-var-dims'>(time_altraw)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.766 0.773 0.769 ... 74.83 74.74</div><input id='attrs-62243207-4af1-4be0-8280-6b5d74a4c0d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62243207-4af1-4be0-8280-6b5d74a4c0d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2265ce8a-96d0-4d62-ab9a-0d4b2c8f5c85' class='xr-var-data-in' type='checkbox'><label for='data-2265ce8a-96d0-4d62-ab9a-0d4b2c8f5c85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dbar</dd><dt><span>long_name :</span></dt><dd>Pressure</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd></dl></div><div class='xr-var-data'><pre>array([ 0.766,  0.773,  0.769, 25.605, 61.209,  0.777, 34.85 , 62.615,\n",
+       "      shape=(4, 13, 18073), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure_alt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.766 0.76 0.766 ... 74.7 74.71</div><input id='attrs-14af6ea0-5df1-4a99-a429-a9d84c2851e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14af6ea0-5df1-4a99-a429-a9d84c2851e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3b44c25-93d1-4f9a-b524-11853f0f053f' class='xr-var-data-in' type='checkbox'><label for='data-b3b44c25-93d1-4f9a-b524-11853f0f053f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dbar</dd><dt><span>long_name :</span></dt><dd>Pressure measured during AST ping</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd></dl></div><div class='xr-var-data'><pre>array([ 0.766,  0.76 ,  0.766, ..., 74.672, 74.703, 74.707],\n",
+       "      shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>le_dist_alt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>42.22 42.22 42.22 ... 73.36 73.73</div><input id='attrs-116ab0e0-f0df-4a83-8c01-04a7346bfbd2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-116ab0e0-f0df-4a83-8c01-04a7346bfbd2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e98b614-b92c-4c5b-8ffb-de6e4a793845' class='xr-var-data-in' type='checkbox'><label for='data-3e98b614-b92c-4c5b-8ffb-de6e4a793845' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Altimeter Range Leading Edge Algorithm</dd><dt><span>standard_name :</span></dt><dd>altimeter_range</dd></dl></div><div class='xr-var-data'><pre>array([42.22273 , 42.222515, 42.222153, ..., 73.09078 , 73.35817 ,\n",
+       "       73.73138 ], shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>le_quality_alt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 168.8 150.8 171.1</div><input id='attrs-32540a4d-e75a-4c59-be6d-b7954b1adfc6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32540a4d-e75a-4c59-be6d-b7954b1adfc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2655d95c-6e0e-409f-8a75-04a25453f425' class='xr-var-data-in' type='checkbox'><label for='data-2655d95c-6e0e-409f-8a75-04a25453f425' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Altimeter Quality Indicator Leading Edge Algorithm</dd></dl></div><div class='xr-var-data'><pre>array([  0.  ,   0.  ,   0.  , ..., 168.79, 150.79, 171.05],\n",
+       "      shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ast_dist_alt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 73.21 73.48 73.87</div><input id='attrs-5d315a11-4474-4eb0-9d53-569528f5ab74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d315a11-4474-4eb0-9d53-569528f5ab74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fd8a2b9-9289-4f72-b16a-e1ed15057cce' class='xr-var-data-in' type='checkbox'><label for='data-7fd8a2b9-9289-4f72-b16a-e1ed15057cce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Altimeter Range Acoustic Surface Tracking</dd><dt><span>standard_name :</span></dt><dd>altimeter_range</dd></dl></div><div class='xr-var-data'><pre>array([ 0.      ,  0.      ,  0.      , ..., 73.210526, 73.476036,\n",
+       "       73.86819 ], shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ast_quality_alt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 58.44 58.52 61.61</div><input id='attrs-9c26543e-0b77-4d42-b7ee-3bd46d080300' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c26543e-0b77-4d42-b7ee-3bd46d080300' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7420cdce-cf4e-4b41-8d7c-0830186c452f' class='xr-var-data-in' type='checkbox'><label for='data-7420cdce-cf4e-4b41-8d7c-0830186c452f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Altimeter Quality Indicator Acoustic Surface Tracking</dd></dl></div><div class='xr-var-data'><pre>array([ 0.  ,  0.  ,  0.  , ..., 58.44, 58.52, 61.61],\n",
+       "      shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ast_offset_time_alt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.3334 -0.3333 ... -0.3331 -0.3333</div><input id='attrs-9892fa89-2708-44a5-bf59-1e82bdf02307' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9892fa89-2708-44a5-bf59-1e82bdf02307' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-504f2a41-c288-42ec-83ed-3f8cf30bd9c2' class='xr-var-data-in' type='checkbox'><label for='data-504f2a41-c288-42ec-83ed-3f8cf30bd9c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s</dd><dt><span>long_name :</span></dt><dd>Acoustic Surface Tracking Time Offset to Velocity Ping</dd></dl></div><div class='xr-var-data'><pre>array([-0.3334, -0.3333, -0.3332, ..., -0.3333, -0.3331, -0.3333],\n",
+       "      shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_press</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>12.4 12.4 12.4 12.4 ... 7.0 7.0 7.0</div><input id='attrs-166cc5c9-d569-49e2-bd68-3f82e9409ce5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-166cc5c9-d569-49e2-bd68-3f82e9409ce5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f75fb38-03f4-470d-8e83-22daa5ae9aa0' class='xr-var-data-in' type='checkbox'><label for='data-3f75fb38-03f4-470d-8e83-22daa5ae9aa0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Pressure Sensor Temperature</dd></dl></div><div class='xr-var-data'><pre>array([12.4, 12.4, 12.4, ...,  7. ,  7. ,  7. ],\n",
+       "      shape=(18073,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xmit_energy</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>170 169 169 169 ... 194 194 194 194</div><input id='attrs-8fcf50a9-75fa-45b5-bf06-1e7dbe791a1d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8fcf50a9-75fa-45b5-bf06-1e7dbe791a1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26150dc9-8646-4c53-ac67-cf6251cad50d' class='xr-var-data-in' type='checkbox'><label for='data-26150dc9-8646-4c53-ac67-cf6251cad50d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Sound Pressure Level of Acoustic Signal</dd></dl></div><div class='xr-var-data'><pre>array([170, 169, 169, ..., 194, 194, 194], shape=(18073,), dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure_altraw</span></div><div class='xr-var-dims'>(time_altraw)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.766 0.773 0.769 ... 74.83 74.74</div><input id='attrs-c41fb70d-685f-43e9-a527-afd8d1df5883' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c41fb70d-685f-43e9-a527-afd8d1df5883' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-642821e5-6375-4dab-9952-f674145f73b8' class='xr-var-data-in' type='checkbox'><label for='data-642821e5-6375-4dab-9952-f674145f73b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dbar</dd><dt><span>long_name :</span></dt><dd>Pressure</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd></dl></div><div class='xr-var-data'><pre>array([ 0.766,  0.773,  0.769, 25.605, 61.209,  0.777, 34.85 , 62.615,\n",
        "       76.575, 76.654, 76.721, 76.75 , 76.721, 76.793, 76.756, 76.727,\n",
        "       76.724, 76.687, 76.631, 76.559, 76.467, 76.287, 76.343, 76.16 ,\n",
        "       76.039, 75.903, 75.822, 75.618, 75.482, 75.335, 75.275, 75.104,\n",
-       "       74.998, 74.829, 74.743], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>le_dist_altraw</span></div><div class='xr-var-dims'>(time_altraw)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>42.22 42.22 42.25 ... 72.77 73.4</div><input id='attrs-e65bc53b-7e50-44a5-8d43-ffc3c3af4eb9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e65bc53b-7e50-44a5-8d43-ffc3c3af4eb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ab0f174-5fe2-420c-a30f-be54c4a854a7' class='xr-var-data-in' type='checkbox'><label for='data-8ab0f174-5fe2-420c-a30f-be54c4a854a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Altimeter Range Leading Edge Algorithm</dd><dt><span>standard_name :</span></dt><dd>altimeter_range</dd></dl></div><div class='xr-var-data'><pre>array([42.22273 , 42.22245 , 42.248127, 53.838898, 60.334473, 42.095585,\n",
+       "       74.998, 74.829, 74.743], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>le_dist_altraw</span></div><div class='xr-var-dims'>(time_altraw)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>42.22 42.22 42.25 ... 72.77 73.4</div><input id='attrs-7ac413f2-a4e0-4e7b-95f4-6ec807c44aae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ac413f2-a4e0-4e7b-95f4-6ec807c44aae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29a7e235-3421-4a2c-9efa-43ba426e632b' class='xr-var-data-in' type='checkbox'><label for='data-29a7e235-3421-4a2c-9efa-43ba426e632b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Altimeter Range Leading Edge Algorithm</dd><dt><span>standard_name :</span></dt><dd>altimeter_range</dd></dl></div><div class='xr-var-data'><pre>array([42.22273 , 42.22245 , 42.248127, 53.838898, 60.334473, 42.095585,\n",
        "       41.693676, 60.747128, 74.52789 , 75.47511 , 75.798546, 75.46673 ,\n",
        "       75.08749 , 75.53308 , 75.00033 , 75.2663  , 75.62667 , 75.66341 ,\n",
        "       75.13237 , 75.59258 , 75.48645 , 74.45196 , 75.09751 , 74.65656 ,\n",
        "       74.63918 , 74.48755 , 74.70199 , 74.48076 , 74.06819 , 73.60065 ,\n",
        "       73.40783 , 73.81639 , 74.335014, 72.76904 , 73.397766],\n",
-       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>le_quality_altraw</span></div><div class='xr-var-dims'>(time_altraw)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 67.05 206.4 146.7</div><input id='attrs-28dc13a1-c8d1-4d28-b48a-1e066bf78b1f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28dc13a1-c8d1-4d28-b48a-1e066bf78b1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1f3939d-8e78-4087-9f40-cc8241ee0cce' class='xr-var-data-in' type='checkbox'><label for='data-b1f3939d-8e78-4087-9f40-cc8241ee0cce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Altimeter Quality Indicator Leading Edge Algorithm</dd></dl></div><div class='xr-var-data'><pre>array([  0.  ,   0.  ,   0.  , 108.67, 135.71,   0.  ,   0.  , 189.97,\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>le_quality_altraw</span></div><div class='xr-var-dims'>(time_altraw)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 67.05 206.4 146.7</div><input id='attrs-1f7c9ad8-c93d-43fb-b66a-f511e6a53947' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f7c9ad8-c93d-43fb-b66a-f511e6a53947' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0e4cbb1-18fb-4331-86f9-d2d566e8f8c0' class='xr-var-data-in' type='checkbox'><label for='data-a0e4cbb1-18fb-4331-86f9-d2d566e8f8c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Altimeter Quality Indicator Leading Edge Algorithm</dd></dl></div><div class='xr-var-data'><pre>array([  0.  ,   0.  ,   0.  , 108.67, 135.71,   0.  ,   0.  , 189.97,\n",
        "       119.84, 127.84, 119.72, 184.63, 123.2 , 213.47, 154.79, 235.96,\n",
        "       135.53, 126.95, 159.85, 207.4 ,  66.16, 212.89, 127.26, 196.62,\n",
        "       125.15, 113.1 , 150.91, 219.6 , 130.77, 113.49, 104.92, 227.87,\n",
-       "        67.05, 206.42, 146.73], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ast_dist_altraw</span></div><div class='xr-var-dims'>(time_altraw)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 74.34 72.9 73.52</div><input id='attrs-8ab06b4f-d423-414d-a34c-54b3335244fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ab06b4f-d423-414d-a34c-54b3335244fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ac71329-61c4-40f5-89fe-c081b3e90a79' class='xr-var-data-in' type='checkbox'><label for='data-7ac71329-61c4-40f5-89fe-c081b3e90a79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Altimeter Range Acoustic Surface Tracking</dd><dt><span>standard_name :</span></dt><dd>altimeter_range</dd></dl></div><div class='xr-var-data'><pre>array([ 0.      ,  0.      ,  0.      ,  0.      , 60.475662,  0.      ,\n",
+       "        67.05, 206.42, 146.73], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ast_dist_altraw</span></div><div class='xr-var-dims'>(time_altraw)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 74.34 72.9 73.52</div><input id='attrs-c5ccd16d-7917-4045-bfe9-648599fb81b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c5ccd16d-7917-4045-bfe9-648599fb81b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32f2261a-263e-4d8e-bf29-88b15bf65af1' class='xr-var-data-in' type='checkbox'><label for='data-32f2261a-263e-4d8e-bf29-88b15bf65af1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Altimeter Range Acoustic Surface Tracking</dd><dt><span>standard_name :</span></dt><dd>altimeter_range</dd></dl></div><div class='xr-var-data'><pre>array([ 0.      ,  0.      ,  0.      ,  0.      , 60.475662,  0.      ,\n",
        "       41.92075 , 61.05163 , 74.65894 , 75.74271 , 76.07448 , 75.692055,\n",
        "       75.19689 , 75.82613 , 75.08403 , 75.32452 , 75.729965, 76.012314,\n",
        "       75.22676 , 75.71552 , 75.81318 , 74.594826, 75.21046 , 74.7399  ,\n",
        "       75.11347 , 74.77125 , 74.823235, 74.63242 , 74.20987 , 73.8131  ,\n",
        "       73.52494 , 73.96451 , 74.34137 , 72.897064, 73.523224],\n",
-       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ast_quality_altraw</span></div><div class='xr-var-dims'>(time_altraw)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 53.5 65.63 61.81</div><input id='attrs-e79fa286-bc6e-40ea-9cea-2846549b3dfb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e79fa286-bc6e-40ea-9cea-2846549b3dfb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b4c1612-fd31-4410-b834-323e531daf2b' class='xr-var-data-in' type='checkbox'><label for='data-4b4c1612-fd31-4410-b834-323e531daf2b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Altimeter Quality Indicator Acoustic Surface Tracking</dd></dl></div><div class='xr-var-data'><pre>array([ 0.  ,  0.  ,  0.  ,  0.  , 52.53,  0.  , 23.02, 68.83, 57.15,\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ast_quality_altraw</span></div><div class='xr-var-dims'>(time_altraw)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 53.5 65.63 61.81</div><input id='attrs-320d9532-1283-41d4-bfbd-9aeea6e15b59' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-320d9532-1283-41d4-bfbd-9aeea6e15b59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d080e1ce-3043-4496-9485-e8ad4c9daa71' class='xr-var-data-in' type='checkbox'><label for='data-d080e1ce-3043-4496-9485-e8ad4c9daa71' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dB</dd><dt><span>long_name :</span></dt><dd>Altimeter Quality Indicator Acoustic Surface Tracking</dd></dl></div><div class='xr-var-data'><pre>array([ 0.  ,  0.  ,  0.  ,  0.  , 52.53,  0.  , 23.02, 68.83, 57.15,\n",
        "       67.61, 54.94, 74.65, 53.76, 73.48, 61.66, 73.67, 56.12, 64.72,\n",
        "       65.88, 67.59, 49.72, 65.22, 54.34, 65.64, 50.62, 63.58, 60.39,\n",
        "       68.26, 58.79, 66.06, 56.41, 66.77, 53.5 , 65.63, 61.81],\n",
-       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ast_offset_time_altraw</span></div><div class='xr-var-dims'>(time_altraw)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-4669a56d-c4b5-4b96-bec9-f3503c81a85f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4669a56d-c4b5-4b96-bec9-f3503c81a85f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-650076c8-e23e-4751-8cba-8cb4ab824210' class='xr-var-data-in' type='checkbox'><label for='data-650076c8-e23e-4751-8cba-8cb4ab824210' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s</dd><dt><span>long_name :</span></dt><dd>Acoustic Surface Tracking Time Offset to Velocity Ping</dd></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ast_offset_time_altraw</span></div><div class='xr-var-dims'>(time_altraw)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-1740b662-0412-42cd-8700-88ece894a085' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1740b662-0412-42cd-8700-88ece894a085' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8af17424-9dda-4656-b924-0d4d6261e6cf' class='xr-var-data-in' type='checkbox'><label for='data-8af17424-9dda-4656-b924-0d4d6261e6cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s</dd><dt><span>long_name :</span></dt><dd>Acoustic Surface Tracking Time Offset to Velocity Ping</dd></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
        "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nsamp_altraw</span></div><div class='xr-var-dims'>(time_altraw)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>2583 2583 2583 ... 2583 2583 2583</div><input id='attrs-bd232f89-61fd-4b08-b886-884b1e9eddec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd232f89-61fd-4b08-b886-884b1e9eddec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d874b6e6-09ea-4331-b20d-b20a4b994fe7' class='xr-var-data-in' type='checkbox'><label for='data-d874b6e6-09ea-4331-b20d-b20a4b994fe7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Number of Altimeter Samples</dd></dl></div><div class='xr-var-data'><pre>array([2583, 2583, 2583, 2583, 2583, 2583, 2583, 2583, 2583, 2583, 2583,\n",
+       "       0.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nsamp_altraw</span></div><div class='xr-var-dims'>(time_altraw)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>2583 2583 2583 ... 2583 2583 2583</div><input id='attrs-fabbe260-8d67-486a-8b9f-eedd4fea9dda' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fabbe260-8d67-486a-8b9f-eedd4fea9dda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dae552dd-ccea-4235-be40-b9e56d3f179f' class='xr-var-data-in' type='checkbox'><label for='data-dae552dd-ccea-4235-be40-b9e56d3f179f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Number of Altimeter Samples</dd></dl></div><div class='xr-var-data'><pre>array([2583, 2583, 2583, 2583, 2583, 2583, 2583, 2583, 2583, 2583, 2583,\n",
        "       2583, 2583, 2583, 2583, 2583, 2583, 2583, 2583, 2583, 2583, 2583,\n",
        "       2583, 2583, 2583, 2583, 2583, 2583, 2583, 2583, 2583, 2583, 2583,\n",
-       "       2583, 2583], dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dsamp_altraw</span></div><div class='xr-var-dims'>(time_altraw)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.024 0.024 0.024 ... 0.024 0.024</div><input id='attrs-72072e2c-baa1-4ae1-8d49-839c9f13580e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72072e2c-baa1-4ae1-8d49-839c9f13580e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef658323-3cc0-47ac-87cf-a987a54a5c69' class='xr-var-data-in' type='checkbox'><label for='data-ef658323-3cc0-47ac-87cf-a987a54a5c69' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Altimeter Distance between Samples</dd></dl></div><div class='xr-var-data'><pre>array([0.024, 0.024, 0.024, 0.024, 0.024, 0.024, 0.024, 0.024, 0.024,\n",
+       "       2583, 2583], dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dsamp_altraw</span></div><div class='xr-var-dims'>(time_altraw)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.024 0.024 0.024 ... 0.024 0.024</div><input id='attrs-89d8af41-5816-4940-8ea4-2093ea4f5dc8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89d8af41-5816-4940-8ea4-2093ea4f5dc8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d54c38ff-e368-4c5b-9440-6aadf51f3fcc' class='xr-var-data-in' type='checkbox'><label for='data-d54c38ff-e368-4c5b-9440-6aadf51f3fcc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Altimeter Distance between Samples</dd></dl></div><div class='xr-var-data'><pre>array([0.024, 0.024, 0.024, 0.024, 0.024, 0.024, 0.024, 0.024, 0.024,\n",
        "       0.024, 0.024, 0.024, 0.024, 0.024, 0.024, 0.024, 0.024, 0.024,\n",
        "       0.024, 0.024, 0.024, 0.024, 0.024, 0.024, 0.024, 0.024, 0.024,\n",
        "       0.024, 0.024, 0.024, 0.024, 0.024, 0.024, 0.024, 0.024],\n",
-       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>samp_altraw</span></div><div class='xr-var-dims'>(n_altraw, time_altraw)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>13.98 9.539 14.62 ... 11.14 15.56</div><input id='attrs-111f42b3-668f-431d-bd58-507c396a476e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-111f42b3-668f-431d-bd58-507c396a476e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26b27615-b591-4d06-bbf0-84dc0d373766' class='xr-var-data-in' type='checkbox'><label for='data-26b27615-b591-4d06-bbf0-84dc0d373766' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Altimeter Samples</dd></dl></div><div class='xr-var-data'><pre>array([[1.39804688e+01, 9.53906250e+00, 1.46250000e+01, ...,\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>samp_altraw</span></div><div class='xr-var-dims'>(n_altraw, time_altraw)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>13.98 9.539 14.62 ... 11.14 15.56</div><input id='attrs-82fe3d43-12c0-4daa-a6c3-e0e3ef07efbf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82fe3d43-12c0-4daa-a6c3-e0e3ef07efbf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34037a8b-b0c9-478d-a405-74e675d60a6b' class='xr-var-data-in' type='checkbox'><label for='data-34037a8b-b0c9-478d-a405-74e675d60a6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Altimeter Samples</dd></dl></div><div class='xr-var-data'><pre>array([[1.39804688e+01, 9.53906250e+00, 1.46250000e+01, ...,\n",
        "        1.00000000e+01, 1.39804688e+01, 2.00468750e+01],\n",
        "       [0.00000000e+00, 1.81328125e+01, 2.25078125e+01, ...,\n",
        "        1.71601562e+01, 1.78515625e+01, 1.39804688e+01],\n",
@@ -698,10 +807,10 @@
        "        1.81328125e+01, 1.61250000e+01, 1.39804688e+01],\n",
        "       [1.50546875e+01, 1.61250000e+01, 1.78515625e+01, ...,\n",
        "        6.99218750e+00, 1.11406250e+01, 1.55625000e+01]],\n",
-       "      shape=(2583, 35), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>low_volt_skip</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-a19a017f-4537-476c-81e2-5db05586ce87' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a19a017f-4537-476c-81e2-5db05586ce87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b179e896-c912-4d66-8427-42b203554fea' class='xr-var-data-in' type='checkbox'><label for='data-b179e896-c912-4d66-8427-42b203554fea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(18073,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>active_config</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-28428c19-d5bd-4372-a913-28a77fa60127' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-28428c19-d5bd-4372-a913-28a77fa60127' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-150a8de7-bd79-4c6a-9a3b-f781d4daa1c6' class='xr-var-data-in' type='checkbox'><label for='data-150a8de7-bd79-4c6a-9a3b-f781d4daa1c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(18073,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>telemetry_data</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-6d305b4d-d4c2-42d5-b8ac-663a59d6ef53' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6d305b4d-d4c2-42d5-b8ac-663a59d6ef53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-877d4613-bd9d-440b-af1b-1cb901921e6f' class='xr-var-data-in' type='checkbox'><label for='data-877d4613-bd9d-440b-af1b-1cb901921e6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(18073,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>boost_running</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-3b765d2c-9f89-434c-be62-8478b3e5900f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3b765d2c-9f89-434c-be62-8478b3e5900f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e90cd8f-c7af-472d-94af-e913f025c104' class='xr-var-data-in' type='checkbox'><label for='data-9e90cd8f-c7af-472d-94af-e913f025c104' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(18073,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beam2inst_orientmat</span></div><div class='xr-var-dims'>(x1, x2)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.462 0.0 -1.462 ... 0.0 0.532</div><input id='attrs-3f3f20fa-e5fc-4603-af02-b4c1b8c63b3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f3f20fa-e5fc-4603-af02-b4c1b8c63b3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0e015c2-ad24-4295-bd56-b42e6d4dc508' class='xr-var-data-in' type='checkbox'><label for='data-f0e015c2-ad24-4295-bd56-b42e6d4dc508' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Rotation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.4619,  0.    , -1.4619,  0.    ],\n",
+       "      shape=(2583, 35), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>low_volt_skip</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-3919dee3-d87a-4ca6-ac0f-a592bbda69e6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3919dee3-d87a-4ca6-ac0f-a592bbda69e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d9afa24-678a-4668-9697-58c589aa8d0d' class='xr-var-data-in' type='checkbox'><label for='data-0d9afa24-678a-4668-9697-58c589aa8d0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(18073,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>active_config</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-fff6c468-6e00-40b8-9f63-c08c9fe77e1c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fff6c468-6e00-40b8-9f63-c08c9fe77e1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-020021e3-caa6-4fdb-b5ff-05ba4ea9979b' class='xr-var-data-in' type='checkbox'><label for='data-020021e3-caa6-4fdb-b5ff-05ba4ea9979b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(18073,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>telemetry_data</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-885c6053-df60-4385-9cc3-d0b5be4210d5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-885c6053-df60-4385-9cc3-d0b5be4210d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-815e0a47-8662-4be1-aef6-8539fe5f3a3f' class='xr-var-data-in' type='checkbox'><label for='data-815e0a47-8662-4be1-aef6-8539fe5f3a3f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(18073,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>boost_running</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-518e25b3-fdc3-4b49-9bd1-332726999a40' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-518e25b3-fdc3-4b49-9bd1-332726999a40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49af1221-8523-4727-bf8b-59aea1662fd0' class='xr-var-data-in' type='checkbox'><label for='data-49af1221-8523-4727-bf8b-59aea1662fd0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(18073,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beam2inst_orientmat</span></div><div class='xr-var-dims'>(x1, x2)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.462 0.0 -1.462 ... 0.0 0.532</div><input id='attrs-b789b1f8-1586-4281-b942-0c78810b42f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b789b1f8-1586-4281-b942-0c78810b42f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7af9e871-451b-4ff4-b7d0-fd8898458136' class='xr-var-data-in' type='checkbox'><label for='data-7af9e871-451b-4ff4-b7d0-fd8898458136' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Rotation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.4619,  0.    , -1.4619,  0.    ],\n",
        "       [ 0.    , -1.4619,  0.    ,  1.4619],\n",
        "       [ 0.532 ,  0.    ,  0.532 ,  0.    ],\n",
-       "       [ 0.    ,  0.532 ,  0.    ,  0.532 ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientmat</span></div><div class='xr-var-dims'>(earth, inst, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.5221 -0.5163 ... 0.9992 0.9992</div><input id='attrs-2cf23729-32c9-485e-b9ec-d880bc87892e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2cf23729-32c9-485e-b9ec-d880bc87892e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ef3281d-b14a-429d-83a8-6d4c91dce910' class='xr-var-data-in' type='checkbox'><label for='data-8ef3281d-b14a-429d-83a8-6d4c91dce910' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Orientation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[[-0.52207047, -0.51634324, -0.5209149 , ..., -0.54248476,\n",
+       "       [ 0.    ,  0.532 ,  0.    ,  0.532 ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientmat</span></div><div class='xr-var-dims'>(earth, inst, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.5221 -0.5163 ... 0.9992 0.9992</div><input id='attrs-0202ff75-5017-461a-b90a-9bb2aa81b995' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0202ff75-5017-461a-b90a-9bb2aa81b995' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a27930b6-a2d3-4657-a5d1-294b1f5b8883' class='xr-var-data-in' type='checkbox'><label for='data-a27930b6-a2d3-4657-a5d1-294b1f5b8883' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Orientation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[[-0.52207047, -0.51634324, -0.5209149 , ..., -0.54248476,\n",
        "         -0.54013205, -0.5434986 ],\n",
        "        [-0.71620005, -0.71592724, -0.69886136, ..., -0.8391961 ,\n",
        "         -0.84069633, -0.83851576],\n",
@@ -720,65 +829,7 @@
        "        [ 0.45426297,  0.4355064 ,  0.4042198 , ...,  0.02849078,\n",
        "          0.02904635,  0.02870771],\n",
        "        [ 0.2585327 ,  0.27745417,  0.3301868 , ...,  0.9992476 ,\n",
-       "          0.99923646,  0.9992251 ]]], shape=(3, 3, 18073), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-650c496b-7f37-49e0-be28-fb2630ad357b' class='xr-section-summary-in' type='checkbox'  ><label for='section-650c496b-7f37-49e0-be28-fb2630ad357b' class='xr-section-summary' >Indexes: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-9e883d52-e0f6-48b3-8a5a-a9d0bd489dab' class='xr-index-data-in' type='checkbox'/><label for='index-9e883d52-e0f6-48b3-8a5a-a9d0bd489dab' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2024-10-22 19:29:36.334399938&#x27;,\n",
-       "               &#x27;2024-10-22 19:29:37.334399938&#x27;,\n",
-       "               &#x27;2024-10-22 19:29:38.334399938&#x27;,\n",
-       "               &#x27;2024-10-22 19:29:39.334399938&#x27;,\n",
-       "               &#x27;2024-10-22 19:29:40.334399938&#x27;,\n",
-       "               &#x27;2024-10-22 19:29:41.334399938&#x27;,\n",
-       "               &#x27;2024-10-22 19:29:42.334399938&#x27;,\n",
-       "               &#x27;2024-10-22 19:29:43.334399938&#x27;,\n",
-       "               &#x27;2024-10-22 19:29:44.334399938&#x27;,\n",
-       "               &#x27;2024-10-22 19:29:45.334399938&#x27;,\n",
-       "               ...\n",
-       "               &#x27;2024-10-23 04:10:31.334399938&#x27;,\n",
-       "               &#x27;2024-10-23 04:10:32.334399938&#x27;,\n",
-       "               &#x27;2024-10-23 04:10:33.334399938&#x27;,\n",
-       "               &#x27;2024-10-23 04:10:34.334500074&#x27;,\n",
-       "               &#x27;2024-10-23 04:10:35.334399938&#x27;,\n",
-       "               &#x27;2024-10-23 04:10:36.334399938&#x27;,\n",
-       "               &#x27;2024-10-23 04:10:37.334399938&#x27;,\n",
-       "               &#x27;2024-10-23 04:10:38.334399938&#x27;,\n",
-       "               &#x27;2024-10-23 04:10:39.334199905&#x27;,\n",
-       "               &#x27;2024-10-23 04:10:40.334399938&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=18073, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time_altraw</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-46d4f296-97f9-46b3-a2f5-06c419429b35' class='xr-index-data-in' type='checkbox'/><label for='index-46d4f296-97f9-46b3-a2f5-06c419429b35' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2024-10-22 19:29:36.000999927&#x27;,\n",
-       "               &#x27;2024-10-22 19:46:39.000999927&#x27;,\n",
-       "               &#x27;2024-10-22 19:59:36.000999927&#x27;,\n",
-       "               &#x27;2024-10-22 20:16:39.000999927&#x27;,\n",
-       "               &#x27;2024-10-22 20:29:36.000999927&#x27;,\n",
-       "               &#x27;2024-10-22 20:46:39.000999927&#x27;,\n",
-       "               &#x27;2024-10-22 20:59:36.000999927&#x27;,\n",
-       "               &#x27;2024-10-22 21:16:39.000999927&#x27;,\n",
-       "               &#x27;2024-10-22 21:29:36.000999927&#x27;,\n",
-       "               &#x27;2024-10-22 21:46:39.001100063&#x27;,\n",
-       "               &#x27;2024-10-22 21:59:36.000999927&#x27;,\n",
-       "               &#x27;2024-10-22 22:16:39.001100063&#x27;,\n",
-       "               &#x27;2024-10-22 22:29:36.000999927&#x27;,\n",
-       "               &#x27;2024-10-22 22:46:39.001100063&#x27;,\n",
-       "               &#x27;2024-10-22 22:59:36.000999927&#x27;,\n",
-       "               &#x27;2024-10-22 23:16:39.001100063&#x27;,\n",
-       "               &#x27;2024-10-22 23:29:36.000900030&#x27;,\n",
-       "               &#x27;2024-10-22 23:46:39.000999927&#x27;,\n",
-       "               &#x27;2024-10-22 23:59:36.000999927&#x27;,\n",
-       "               &#x27;2024-10-23 00:16:39.000999927&#x27;,\n",
-       "               &#x27;2024-10-23 00:29:36.000999927&#x27;,\n",
-       "               &#x27;2024-10-23 00:46:39.000999927&#x27;,\n",
-       "               &#x27;2024-10-23 00:59:36.000999927&#x27;,\n",
-       "               &#x27;2024-10-23 01:16:39.000999927&#x27;,\n",
-       "               &#x27;2024-10-23 01:29:36.000999927&#x27;,\n",
-       "               &#x27;2024-10-23 01:46:39.000999927&#x27;,\n",
-       "               &#x27;2024-10-23 01:59:36.000999927&#x27;,\n",
-       "               &#x27;2024-10-23 02:16:39.000999927&#x27;,\n",
-       "               &#x27;2024-10-23 02:29:36.000999927&#x27;,\n",
-       "               &#x27;2024-10-23 02:46:39.000999927&#x27;,\n",
-       "               &#x27;2024-10-23 02:59:36.000999927&#x27;,\n",
-       "               &#x27;2024-10-23 03:16:39.000999927&#x27;,\n",
-       "               &#x27;2024-10-23 03:29:36.000999927&#x27;,\n",
-       "               &#x27;2024-10-23 03:46:39.000999927&#x27;,\n",
-       "               &#x27;2024-10-23 03:59:36.000999927&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time_altraw&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>range</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-e4fcb6f5-a6f6-407e-992e-d0c83ec17643' class='xr-index-data-in' type='checkbox'/><label for='index-e4fcb6f5-a6f6-407e-992e-d0c83ec17643' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([38.7, 42.2, 45.7, 49.2, 52.7, 56.2, 59.7, 63.2, 66.7, 70.2, 73.7, 77.2,\n",
-       "       80.7],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;range&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>beam</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-b0583c1e-7301-4de4-b940-5df1c71c574a' class='xr-index-data-in' type='checkbox'/><label for='index-b0583c1e-7301-4de4-b940-5df1c71c574a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3, 4], dtype=&#x27;int32&#x27;, name=&#x27;beam&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>dir</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-97d2bc5f-5040-4bef-accb-984b31cbe1da' class='xr-index-data-in' type='checkbox'/><label for='index-97d2bc5f-5040-4bef-accb-984b31cbe1da' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3, 4], dtype=&#x27;int32&#x27;, name=&#x27;dir&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>dirIMU</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-3d8b080c-dcd5-4909-88de-4e2aba2e6644' class='xr-index-data-in' type='checkbox'/><label for='index-3d8b080c-dcd5-4909-88de-4e2aba2e6644' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;X&#x27;, &#x27;Y&#x27;, &#x27;Z&#x27;], dtype=&#x27;object&#x27;, name=&#x27;dirIMU&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x1</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-5fe2f197-9e3c-4a27-893b-d05d20fa45fb' class='xr-index-data-in' type='checkbox'/><label for='index-5fe2f197-9e3c-4a27-893b-d05d20fa45fb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3, 4], dtype=&#x27;int32&#x27;, name=&#x27;x1&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x2</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-be361aad-4461-4a2a-acb5-e6fee66f1068' class='xr-index-data-in' type='checkbox'/><label for='index-be361aad-4461-4a2a-acb5-e6fee66f1068' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3, 4], dtype=&#x27;int32&#x27;, name=&#x27;x2&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>earth</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-fec6f7f8-b5c7-474c-b73c-fdeb1cebf483' class='xr-index-data-in' type='checkbox'/><label for='index-fec6f7f8-b5c7-474c-b73c-fdeb1cebf483' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U&#x27;], dtype=&#x27;object&#x27;, name=&#x27;earth&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>inst</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-e5d69dd7-6678-4b81-be6e-ebbb72fb8b3c' class='xr-index-data-in' type='checkbox'/><label for='index-e5d69dd7-6678-4b81-be6e-ebbb72fb8b3c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;X&#x27;, &#x27;Y&#x27;, &#x27;Z&#x27;], dtype=&#x27;object&#x27;, name=&#x27;inst&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-91509bc0-29a8-4fb5-8cb7-835ecfdb2ae4' class='xr-section-summary-in' type='checkbox'  ><label for='section-91509bc0-29a8-4fb5-8cb7-835ecfdb2ae4' class='xr-section-summary' >Attributes: <span>(39)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>filehead_config :</span></dt><dd>{&quot;CLOCKSTR&quot;: {&quot;TIME&quot;: &quot;\\&quot;2024-10-22 19:29:32\\&quot;&quot;}, &quot;ID&quot;: &quot;STR=\\&quot;Signature250\\&quot;,SN=104922&quot;, &quot;HW&quot;: {&quot;FW&quot;: 2215, &quot;FPGA&quot;: 186, &quot;DIGITAL&quot;: &quot;\\&quot;I-5\\&quot;&quot;, &quot;INTERFACE&quot;: &quot;\\&quot;H-1\\&quot;&quot;, &quot;ANALOG&quot;: &quot;\\&quot;C-1(High-Power 4 Channel)\\&quot;&quot;, &quot;SENSOR&quot;: &quot;\\&quot;I-0\\&quot;&quot;, &quot;BOOT&quot;: 25, &quot;FWMINOR&quot;: 15}, &quot;BOARDSENSGET&quot;: &quot;AV=23,NB=5,HF=250,TTR=2.4444,TTRB5=2.0000,TTRB5AUX=0.0000,AUXRS=0&quot;, &quot;PWR&quot;: {&quot;PLAN&quot;: 471.15, &quot;BURST&quot;: 384.15, &quot;AVG&quot;: 90.34, &quot;PLAN1&quot;: 0.0, &quot;BURST1&quot;: 0.0, &quot;AVG1&quot;: 0.0, &quot;TOTAL&quot;: 471.15}, &quot;MEM&quot;: {&quot;PLAN&quot;: 1.141, &quot;BURST&quot;: 0.649, &quot;AVG&quot;: 0.492, &quot;PLAN1&quot;: 0.0, &quot;BURST1&quot;: 0.0, &quot;AVG1&quot;: 0.0, &quot;TOTAL&quot;: 1.141}, &quot;PRECISION&quot;: {&quot;AVGHORZ&quot;: 1.15, &quot;BURSTHORZ&quot;: 6.98, &quot;BEAM5&quot;: -9.99, &quot;AVGBEAM&quot;: 0.56, &quot;BURSTBEAM&quot;: 3.37}, &quot;PLAN&quot;: {&quot;MIAVG&quot;: 600, &quot;AVG&quot;: 1, &quot;DIAVG&quot;: 0, &quot;VD&quot;: 0, &quot;MV&quot;: 10, &quot;SA&quot;: 35.0, &quot;BURST&quot;: 1, &quot;MIBURST&quot;: 1800, &quot;DIBURST&quot;: 0, &quot;SV&quot;: 0.0, &quot;FN&quot;: &quot;\\&quot;S104922A004_PWS_SITE_02.ad2cp\\&quot;&quot;, &quot;SO&quot;: 0, &quot;FREQ&quot;: 250, &quot;NSTT&quot;: 0}, &quot;AVG&quot;: {&quot;NC&quot;: 39, &quot;CS&quot;: 2.0, &quot;BD&quot;: 0.5, &quot;CY&quot;: &quot;\\&quot;ENU\\&quot;&quot;, &quot;PL&quot;: -15.0, &quot;AI&quot;: 120, &quot;VP&quot;: 0.0, &quot;VR&quot;: 5.0, &quot;DF&quot;: 3, &quot;NPING&quot;: 120, &quot;NB&quot;: 4, &quot;CH&quot;: 0, &quot;MUX&quot;: 0, &quot;BW&quot;: &quot;\\&quot;BROAD\\&quot;&quot;, &quot;ALTI&quot;: 0, &quot;BT&quot;: 0, &quot;ICE&quot;: 0, &quot;ALTISTART&quot;: 0.5, &quot;ALTIEND&quot;: 150.0, &quot;RAWALTI&quot;: 1}, &quot;XFAVG&quot;: {&quot;ROWS&quot;: 4, &quot;COLS&quot;: 4, &quot;M11&quot;: 1.4619, &quot;M12&quot;: 0.0, &quot;M13&quot;: -1.4619, &quot;M14&quot;: 0.0, &quot;M21&quot;: 0.0, &quot;M22&quot;: -1.4619, &quot;M23&quot;: 0.0, &quot;M24&quot;: 1.4619, &quot;M31&quot;: 0.532, &quot;M32&quot;: 0.0, &quot;M33&quot;: 0.532, &quot;M34&quot;: 0.0, &quot;M41&quot;: 0.0, &quot;M42&quot;: 0.532, &quot;M43&quot;: 0.0, &quot;M44&quot;: 0.532}, &quot;BURST&quot;: {&quot;NC&quot;: 13, &quot;NB&quot;: 4, &quot;CS&quot;: 3.5, &quot;BD&quot;: 35.2, &quot;CY&quot;: &quot;\\&quot;BEAM\\&quot;&quot;, &quot;PL&quot;: -15.0, &quot;SR&quot;: 1, &quot;NS&quot;: 1024, &quot;VR&quot;: 5.0, &quot;VP&quot;: 0.0, &quot;DF&quot;: 3, &quot;NPING&quot;: 1, &quot;CH&quot;: 0, &quot;ALTI&quot;: 1, &quot;VR5&quot;: 5.0, &quot;BT&quot;: 0, &quot;DISV&quot;: 0, &quot;ECHO&quot;: 0, &quot;RAWALTI&quot;: 1, &quot;ALTISTART&quot;: 42.0, &quot;ALTIEND&quot;: 104.0, &quot;HR&quot;: 0, &quot;HR5&quot;: 0}, &quot;XFBURST&quot;: {&quot;ROWS&quot;: 4, &quot;COLS&quot;: 4, &quot;M11&quot;: 1.4619, &quot;M12&quot;: 0.0, &quot;M13&quot;: -1.4619, &quot;M14&quot;: 0.0, &quot;M21&quot;: 0.0, &quot;M22&quot;: -1.4619, &quot;M23&quot;: 0.0, &quot;M24&quot;: 1.4619, &quot;M31&quot;: 0.532, &quot;M32&quot;: 0.0, &quot;M33&quot;: 0.532, &quot;M34&quot;: 0.0, &quot;M41&quot;: 0.0, &quot;M42&quot;: 0.532, &quot;M43&quot;: 0.0, &quot;M44&quot;: 0.532}, &quot;READALTIBURST&quot;: &quot;EN=1,START=42.00,END=104.00,SAMPSIZE=0.024,NB=1,NSAMP=2583,RAW=1&quot;, &quot;USER&quot;: {&quot;POFF&quot;: 9.5, &quot;DECL&quot;: 0.0, &quot;HX&quot;: 0, &quot;HY&quot;: 0, &quot;HZ&quot;: 0}, &quot;INST&quot;: {&quot;BR&quot;: 9600, &quot;RS&quot;: 232, &quot;LED&quot;: &quot;\\&quot;ON24H\\&quot;&quot;, &quot;ORIENT&quot;: &quot;\\&quot;AUTOZUPDOWN\\&quot;&quot;, &quot;CMTOUT&quot;: 300, &quot;DMTOUT&quot;: 60, &quot;CFMTOUT&quot;: 60}, &quot;COMPASSCAL&quot;: {&quot;DX&quot;: 72, &quot;DY&quot;: 163, &quot;DZ&quot;: -42, &quot;M11&quot;: 32767, &quot;M12&quot;: 477, &quot;M13&quot;: -250, &quot;M21&quot;: -118, &quot;M22&quot;: 31551, &quot;M23&quot;: -399, &quot;M31&quot;: 838, &quot;M32&quot;: 376, &quot;M33&quot;: 32316}, &quot;RECSTAT&quot;: &quot;SS=512,CS=32768,FC=61991026688,TC=62260248576,VS=62260248576,FF=4092,TF=4095&quot;, &quot;BEAMCFGLIST&quot;: [&quot;BEAM=1,THETA=20.00,PHI=0.00,FREQ=250,BW=25,BRD=1,HWBEAM=1,ZNOM=100.00,DIA=0.0&quot;, &quot;BEAM=2,THETA=20.00,PHI=-90.00,FREQ=250,BW=25,BRD=1,HWBEAM=2,ZNOM=100.00,DIA=0.0&quot;, &quot;BEAM=3,THETA=20.00,PHI=180.00,FREQ=250,BW=25,BRD=1,HWBEAM=3,ZNOM=100.00,DIA=0.0&quot;, &quot;BEAM=4,THETA=20.00,PHI=90.00,FREQ=250,BW=25,BRD=1,HWBEAM=4,ZNOM=100.00,DIA=0.0&quot;, &quot;BEAM=5,THETA=0.00,PHI=0.00,FREQ=500,BW=25,BRD=1,HWBEAM=5,ZNOM=100.00,DIA=0.0&quot;], &quot;BEAMIMPLIST&quot;: [&quot;BEAM=1,P0=1.95754e+01,P1=-6.89010e-02,P2=3.07926e-03,P3=8.38340e-05,P4=6.24624e-06,T1=0.00000e+00&quot;, &quot;BEAM=2,P0=1.84575e+01,P1=-4.85768e-02,P2=3.40215e-03,P3=4.97871e-05,P4=5.28907e-06,T1=0.00000e+00&quot;, &quot;BEAM=3,P0=2.03578e+01,P1=2.87348e-02,P2=1.24284e-03,P3=9.11659e-06,P4=9.46557e-06,T1=0.00000e+00&quot;, &quot;BEAM=4,P0=1.98482e+01,P1=9.94687e-03,P2=3.95698e-03,P3=1.23846e-05,P4=5.44124e-06,T1=0.00000e+00&quot;, &quot;BEAM=5,P0=5.14952e+00,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;], &quot;LISTLICENSE&quot;: [&quot;KEY=\\&quot;639HSK16KKMKB\\&quot;,DESC=\\&quot;Averaging Mode\\&quot;,TYPE=1&quot;, &quot;KEY=\\&quot;WULC7672JKMKB\\&quot;,DESC=\\&quot;Wave Mode\\&quot;,TYPE=6&quot;, &quot;KEY=\\&quot;8MTRYSYPJKMKB\\&quot;,DESC=\\&quot;64GB Recorder\\&quot;,TYPE=10&quot;], &quot;CALCOMPGET&quot;: &quot;DX=72,DY=163,DZ=-42,M11=32767,M12=477,M13=-250,M21=-118,M22=31551,M23=-399,M31=838,M32=376,M33=32316&quot;, &quot;CALTEMPGET&quot;: &quot;SC=0.99836&quot;, &quot;CALTILTGET&quot;: &quot;PO=0.00,RO=0.00,MAGG=1,HO=0.00&quot;, &quot;CALACCLGET&quot;: [&quot;AX=1.000000E+00,B0X=-4.726771E-03,B1X=-2.648151E-04,B2X=-2.372674E-06,B3X=4.496909E-08,A1X=-1.020020E-04,A2X=1.769976E-06,A3X=-1.568007E-09&quot;, &quot;AY=1.000000E+00,B0Y=1.559532E-02,B1Y=-1.851641E-04,B2Y=-1.864571E-06,B3Y=-1.016134E-07,A1Y=-1.244390E-04,A2Y=2.423802E-06,A3Y=1.712951E-07&quot;, &quot;AZ=1.000000E+00,B0Z=-9.057428E-03,B1Z=1.972058E-04,B2Z=5.130616E-06,B3Z=-3.403830E-08,A1Z=1.938282E-04,A2Z=1.197075E-06,A3Z=-4.228993E-07&quot;], &quot;CALPRESSGET&quot;: &quot;MT=1,RREF=4.5291115000e+02,RB0=3.7937528130e-01,RB1=-2.1489579690e-01,RB2=4.4181650000e-04,RB3=6.5130350000e-09,T0=-3.1473080000e+03,T1=2.4586100000e+00,T2=-6.5718281250e-04,T3=6.1275925000e-08,ID=\\&quot;P059353\\&quot;&quot;, &quot;CALPRESSCOEFFGET&quot;: [&quot;A0=1.4675400000e-01,A1=3.9377600000e-04,A2=-1.2027480470e-07,A3=1.1867438750e-11,B0=-6.2100006250e-01,B1=6.3748125000e-04,B2=-1.8018650000e-07,B3=1.6830001560e-11&quot;, &quot;C0=7.9542968750e-04,C1=-6.7488718750e-07,C2=1.9400940630e-10,C3=-1.8681940630e-14,D0=-3.0979950000e-06,D1=2.6566440630e-09,D2=-7.6620243750e-13,D3=7.3948556250e-17&quot;], &quot;CALROTACCLGET&quot;: &quot;M11=0.98619,M12=0.01139,M13=0.01828,M21=-0.01080,M22=1.00513,M23=-0.00519,M31=-0.01061,M32=-0.00616,M33=0.96537&quot;, &quot;CALECHOGET&quot;: &quot;CHA0=0.00,CHB0=-17.66,CHC0=0.00&quot;}</dd><dt><span>inst_model :</span></dt><dd>Signature250</dd><dt><span>inst_make :</span></dt><dd>Nortek</dd><dt><span>inst_type :</span></dt><dd>ADCP</dd><dt><span>burst_config :</span></dt><dd>{&quot;press_valid&quot;: true, &quot;temp_valid&quot;: true, &quot;compass_valid&quot;: true, &quot;tilt_valid&quot;: true, &quot;vel&quot;: true, &quot;amp&quot;: true, &quot;corr&quot;: true, &quot;le&quot;: true, &quot;altraw&quot;: false, &quot;ast&quot;: true, &quot;echo&quot;: false, &quot;ahrs&quot;: false, &quot;p_gd&quot;: false, &quot;std&quot;: false}</dd><dt><span>n_cells :</span></dt><dd>13</dd><dt><span>n_beams :</span></dt><dd>4</dd><dt><span>ambig_vel :</span></dt><dd>10.31</dd><dt><span>SerialNum :</span></dt><dd>104922</dd><dt><span>nominal_corr :</span></dt><dd>89</dd><dt><span>cell_size :</span></dt><dd>3.5</dd><dt><span>blank_dist :</span></dt><dd>35.2</dd><dt><span>power_level_dB :</span></dt><dd>-15.0</dd><dt><span>tilt_over_5deg :</span></dt><dd>0</dd><dt><span>tilt_over_10deg :</span></dt><dd>0</dd><dt><span>multibeam_alt :</span></dt><dd>0</dd><dt><span>n_beams_alt :</span></dt><dd>1</dd><dt><span>power_level_alt :</span></dt><dd>high</dd><dt><span>burst_config_alt :</span></dt><dd>{&quot;press_valid&quot;: true, &quot;temp_valid&quot;: true, &quot;compass_valid&quot;: true, &quot;tilt_valid&quot;: true, &quot;vel&quot;: false, &quot;amp&quot;: false, &quot;corr&quot;: false, &quot;le&quot;: true, &quot;altraw&quot;: true, &quot;ast&quot;: true, &quot;echo&quot;: false, &quot;ahrs&quot;: false, &quot;p_gd&quot;: false, &quot;std&quot;: false}</dd><dt><span>n_cells_alt :</span></dt><dd>0</dd><dt><span>coord_sys_axes_alt :</span></dt><dd>beam</dd><dt><span>ambig_vel_alt :</span></dt><dd>0.0</dd><dt><span>SerialNum_alt :</span></dt><dd>104922</dd><dt><span>nominal_corr_alt :</span></dt><dd>0</dd><dt><span>cell_size_alt :</span></dt><dd>0.0</dd><dt><span>blank_dist_alt :</span></dt><dd>42.0</dd><dt><span>power_level_dB_alt :</span></dt><dd>-26.0</dd><dt><span>wakeup_state :</span></dt><dd>clock</dd><dt><span>orientation :</span></dt><dd>up</dd><dt><span>orient_status :</span></dt><dd>auto_UD</dd><dt><span>proc_idle_less_3pct :</span></dt><dd>0</dd><dt><span>proc_idle_less_6pct :</span></dt><dd>0</dd><dt><span>proc_idle_less_12pct :</span></dt><dd>0</dd><dt><span>rotate_vars :</span></dt><dd>[&#x27;vel&#x27;, &#x27;accel&#x27;, &#x27;mag&#x27;]</dd><dt><span>coord_sys :</span></dt><dd>beam</dd><dt><span>fs :</span></dt><dd>1</dd><dt><span>bandwidth :</span></dt><dd>&quot;BROAD&quot;</dd><dt><span>has_imu :</span></dt><dd>0</dd><dt><span>beam_angle :</span></dt><dd>20</dd></dl></div></li></ul></div></div>"
+       "          0.99923646,  0.9992251 ]]], shape=(3, 3, 18073), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1e88c7a9-62f2-483c-8b78-5aea96a214dd' class='xr-section-summary-in' type='checkbox'  ><label for='section-1e88c7a9-62f2-483c-8b78-5aea96a214dd' class='xr-section-summary' >Attributes: <span>(39)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>filehead_config :</span></dt><dd>{&quot;CLOCKSTR&quot;: {&quot;TIME&quot;: &quot;\\&quot;2024-10-22 19:29:32\\&quot;&quot;}, &quot;ID&quot;: &quot;STR=\\&quot;Signature250\\&quot;,SN=104922&quot;, &quot;HW&quot;: {&quot;FW&quot;: 2215, &quot;FPGA&quot;: 186, &quot;DIGITAL&quot;: &quot;\\&quot;I-5\\&quot;&quot;, &quot;INTERFACE&quot;: &quot;\\&quot;H-1\\&quot;&quot;, &quot;ANALOG&quot;: &quot;\\&quot;C-1(High-Power 4 Channel)\\&quot;&quot;, &quot;SENSOR&quot;: &quot;\\&quot;I-0\\&quot;&quot;, &quot;BOOT&quot;: 25, &quot;FWMINOR&quot;: 15}, &quot;BOARDSENSGET&quot;: &quot;AV=23,NB=5,HF=250,TTR=2.4444,TTRB5=2.0000,TTRB5AUX=0.0000,AUXRS=0&quot;, &quot;PWR&quot;: {&quot;PLAN&quot;: 471.15, &quot;BURST&quot;: 384.15, &quot;AVG&quot;: 90.34, &quot;PLAN1&quot;: 0.0, &quot;BURST1&quot;: 0.0, &quot;AVG1&quot;: 0.0, &quot;TOTAL&quot;: 471.15}, &quot;MEM&quot;: {&quot;PLAN&quot;: 1.141, &quot;BURST&quot;: 0.649, &quot;AVG&quot;: 0.492, &quot;PLAN1&quot;: 0.0, &quot;BURST1&quot;: 0.0, &quot;AVG1&quot;: 0.0, &quot;TOTAL&quot;: 1.141}, &quot;PRECISION&quot;: {&quot;AVGHORZ&quot;: 1.15, &quot;BURSTHORZ&quot;: 6.98, &quot;BEAM5&quot;: -9.99, &quot;AVGBEAM&quot;: 0.56, &quot;BURSTBEAM&quot;: 3.37}, &quot;PLAN&quot;: {&quot;MIAVG&quot;: 600, &quot;AVG&quot;: 1, &quot;DIAVG&quot;: 0, &quot;VD&quot;: 0, &quot;MV&quot;: 10, &quot;SA&quot;: 35.0, &quot;BURST&quot;: 1, &quot;MIBURST&quot;: 1800, &quot;DIBURST&quot;: 0, &quot;SV&quot;: 0.0, &quot;FN&quot;: &quot;\\&quot;S104922A004_PWS_SITE_02.ad2cp\\&quot;&quot;, &quot;SO&quot;: 0, &quot;FREQ&quot;: 250, &quot;NSTT&quot;: 0}, &quot;AVG&quot;: {&quot;NC&quot;: 39, &quot;CS&quot;: 2.0, &quot;BD&quot;: 0.5, &quot;CY&quot;: &quot;\\&quot;ENU\\&quot;&quot;, &quot;PL&quot;: -15.0, &quot;AI&quot;: 120, &quot;VP&quot;: 0.0, &quot;VR&quot;: 5.0, &quot;DF&quot;: 3, &quot;NPING&quot;: 120, &quot;NB&quot;: 4, &quot;CH&quot;: 0, &quot;MUX&quot;: 0, &quot;BW&quot;: &quot;\\&quot;BROAD\\&quot;&quot;, &quot;ALTI&quot;: 0, &quot;BT&quot;: 0, &quot;ICE&quot;: 0, &quot;ALTISTART&quot;: 0.5, &quot;ALTIEND&quot;: 150.0, &quot;RAWALTI&quot;: 1}, &quot;XFAVG&quot;: {&quot;ROWS&quot;: 4, &quot;COLS&quot;: 4, &quot;M11&quot;: 1.4619, &quot;M12&quot;: 0.0, &quot;M13&quot;: -1.4619, &quot;M14&quot;: 0.0, &quot;M21&quot;: 0.0, &quot;M22&quot;: -1.4619, &quot;M23&quot;: 0.0, &quot;M24&quot;: 1.4619, &quot;M31&quot;: 0.532, &quot;M32&quot;: 0.0, &quot;M33&quot;: 0.532, &quot;M34&quot;: 0.0, &quot;M41&quot;: 0.0, &quot;M42&quot;: 0.532, &quot;M43&quot;: 0.0, &quot;M44&quot;: 0.532}, &quot;BURST&quot;: {&quot;NC&quot;: 13, &quot;NB&quot;: 4, &quot;CS&quot;: 3.5, &quot;BD&quot;: 35.2, &quot;CY&quot;: &quot;\\&quot;BEAM\\&quot;&quot;, &quot;PL&quot;: -15.0, &quot;SR&quot;: 1, &quot;NS&quot;: 1024, &quot;VR&quot;: 5.0, &quot;VP&quot;: 0.0, &quot;DF&quot;: 3, &quot;NPING&quot;: 1, &quot;CH&quot;: 0, &quot;ALTI&quot;: 1, &quot;VR5&quot;: 5.0, &quot;BT&quot;: 0, &quot;DISV&quot;: 0, &quot;ECHO&quot;: 0, &quot;RAWALTI&quot;: 1, &quot;ALTISTART&quot;: 42.0, &quot;ALTIEND&quot;: 104.0, &quot;HR&quot;: 0, &quot;HR5&quot;: 0}, &quot;XFBURST&quot;: {&quot;ROWS&quot;: 4, &quot;COLS&quot;: 4, &quot;M11&quot;: 1.4619, &quot;M12&quot;: 0.0, &quot;M13&quot;: -1.4619, &quot;M14&quot;: 0.0, &quot;M21&quot;: 0.0, &quot;M22&quot;: -1.4619, &quot;M23&quot;: 0.0, &quot;M24&quot;: 1.4619, &quot;M31&quot;: 0.532, &quot;M32&quot;: 0.0, &quot;M33&quot;: 0.532, &quot;M34&quot;: 0.0, &quot;M41&quot;: 0.0, &quot;M42&quot;: 0.532, &quot;M43&quot;: 0.0, &quot;M44&quot;: 0.532}, &quot;READALTIBURST&quot;: &quot;EN=1,START=42.00,END=104.00,SAMPSIZE=0.024,NB=1,NSAMP=2583,RAW=1&quot;, &quot;USER&quot;: {&quot;POFF&quot;: 9.5, &quot;DECL&quot;: 0.0, &quot;HX&quot;: 0, &quot;HY&quot;: 0, &quot;HZ&quot;: 0}, &quot;INST&quot;: {&quot;BR&quot;: 9600, &quot;RS&quot;: 232, &quot;LED&quot;: &quot;\\&quot;ON24H\\&quot;&quot;, &quot;ORIENT&quot;: &quot;\\&quot;AUTOZUPDOWN\\&quot;&quot;, &quot;CMTOUT&quot;: 300, &quot;DMTOUT&quot;: 60, &quot;CFMTOUT&quot;: 60}, &quot;COMPASSCAL&quot;: {&quot;DX&quot;: 72, &quot;DY&quot;: 163, &quot;DZ&quot;: -42, &quot;M11&quot;: 32767, &quot;M12&quot;: 477, &quot;M13&quot;: -250, &quot;M21&quot;: -118, &quot;M22&quot;: 31551, &quot;M23&quot;: -399, &quot;M31&quot;: 838, &quot;M32&quot;: 376, &quot;M33&quot;: 32316}, &quot;RECSTAT&quot;: &quot;SS=512,CS=32768,FC=61991026688,TC=62260248576,VS=62260248576,FF=4092,TF=4095&quot;, &quot;BEAMCFGLIST&quot;: [&quot;BEAM=1,THETA=20.00,PHI=0.00,FREQ=250,BW=25,BRD=1,HWBEAM=1,ZNOM=100.00,DIA=0.0&quot;, &quot;BEAM=2,THETA=20.00,PHI=-90.00,FREQ=250,BW=25,BRD=1,HWBEAM=2,ZNOM=100.00,DIA=0.0&quot;, &quot;BEAM=3,THETA=20.00,PHI=180.00,FREQ=250,BW=25,BRD=1,HWBEAM=3,ZNOM=100.00,DIA=0.0&quot;, &quot;BEAM=4,THETA=20.00,PHI=90.00,FREQ=250,BW=25,BRD=1,HWBEAM=4,ZNOM=100.00,DIA=0.0&quot;, &quot;BEAM=5,THETA=0.00,PHI=0.00,FREQ=500,BW=25,BRD=1,HWBEAM=5,ZNOM=100.00,DIA=0.0&quot;], &quot;BEAMIMPLIST&quot;: [&quot;BEAM=1,P0=1.95754e+01,P1=-6.89010e-02,P2=3.07926e-03,P3=8.38340e-05,P4=6.24624e-06,T1=0.00000e+00&quot;, &quot;BEAM=2,P0=1.84575e+01,P1=-4.85768e-02,P2=3.40215e-03,P3=4.97871e-05,P4=5.28907e-06,T1=0.00000e+00&quot;, &quot;BEAM=3,P0=2.03578e+01,P1=2.87348e-02,P2=1.24284e-03,P3=9.11659e-06,P4=9.46557e-06,T1=0.00000e+00&quot;, &quot;BEAM=4,P0=1.98482e+01,P1=9.94687e-03,P2=3.95698e-03,P3=1.23846e-05,P4=5.44124e-06,T1=0.00000e+00&quot;, &quot;BEAM=5,P0=5.14952e+00,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00&quot;], &quot;LISTLICENSE&quot;: [&quot;KEY=\\&quot;639HSK16KKMKB\\&quot;,DESC=\\&quot;Averaging Mode\\&quot;,TYPE=1&quot;, &quot;KEY=\\&quot;WULC7672JKMKB\\&quot;,DESC=\\&quot;Wave Mode\\&quot;,TYPE=6&quot;, &quot;KEY=\\&quot;8MTRYSYPJKMKB\\&quot;,DESC=\\&quot;64GB Recorder\\&quot;,TYPE=10&quot;], &quot;CALCOMPGET&quot;: &quot;DX=72,DY=163,DZ=-42,M11=32767,M12=477,M13=-250,M21=-118,M22=31551,M23=-399,M31=838,M32=376,M33=32316&quot;, &quot;CALTEMPGET&quot;: &quot;SC=0.99836&quot;, &quot;CALTILTGET&quot;: &quot;PO=0.00,RO=0.00,MAGG=1,HO=0.00&quot;, &quot;CALACCLGET&quot;: [&quot;AX=1.000000E+00,B0X=-4.726771E-03,B1X=-2.648151E-04,B2X=-2.372674E-06,B3X=4.496909E-08,A1X=-1.020020E-04,A2X=1.769976E-06,A3X=-1.568007E-09&quot;, &quot;AY=1.000000E+00,B0Y=1.559532E-02,B1Y=-1.851641E-04,B2Y=-1.864571E-06,B3Y=-1.016134E-07,A1Y=-1.244390E-04,A2Y=2.423802E-06,A3Y=1.712951E-07&quot;, &quot;AZ=1.000000E+00,B0Z=-9.057428E-03,B1Z=1.972058E-04,B2Z=5.130616E-06,B3Z=-3.403830E-08,A1Z=1.938282E-04,A2Z=1.197075E-06,A3Z=-4.228993E-07&quot;], &quot;CALPRESSGET&quot;: &quot;MT=1,RREF=4.5291115000e+02,RB0=3.7937528130e-01,RB1=-2.1489579690e-01,RB2=4.4181650000e-04,RB3=6.5130350000e-09,T0=-3.1473080000e+03,T1=2.4586100000e+00,T2=-6.5718281250e-04,T3=6.1275925000e-08,ID=\\&quot;P059353\\&quot;&quot;, &quot;CALPRESSCOEFFGET&quot;: [&quot;A0=1.4675400000e-01,A1=3.9377600000e-04,A2=-1.2027480470e-07,A3=1.1867438750e-11,B0=-6.2100006250e-01,B1=6.3748125000e-04,B2=-1.8018650000e-07,B3=1.6830001560e-11&quot;, &quot;C0=7.9542968750e-04,C1=-6.7488718750e-07,C2=1.9400940630e-10,C3=-1.8681940630e-14,D0=-3.0979950000e-06,D1=2.6566440630e-09,D2=-7.6620243750e-13,D3=7.3948556250e-17&quot;], &quot;CALROTACCLGET&quot;: &quot;M11=0.98619,M12=0.01139,M13=0.01828,M21=-0.01080,M22=1.00513,M23=-0.00519,M31=-0.01061,M32=-0.00616,M33=0.96537&quot;, &quot;CALECHOGET&quot;: &quot;CHA0=0.00,CHB0=-17.66,CHC0=0.00&quot;}</dd><dt><span>inst_model :</span></dt><dd>Signature250</dd><dt><span>inst_make :</span></dt><dd>Nortek</dd><dt><span>inst_type :</span></dt><dd>ADCP</dd><dt><span>burst_config :</span></dt><dd>{&quot;press_valid&quot;: true, &quot;temp_valid&quot;: true, &quot;compass_valid&quot;: true, &quot;tilt_valid&quot;: true, &quot;vel&quot;: true, &quot;amp&quot;: true, &quot;corr&quot;: true, &quot;le&quot;: true, &quot;altraw&quot;: false, &quot;ast&quot;: true, &quot;echo&quot;: false, &quot;ahrs&quot;: false, &quot;p_gd&quot;: false, &quot;std&quot;: false}</dd><dt><span>n_cells :</span></dt><dd>13</dd><dt><span>n_beams :</span></dt><dd>4</dd><dt><span>ambig_vel :</span></dt><dd>10.31</dd><dt><span>SerialNum :</span></dt><dd>104922</dd><dt><span>nominal_corr :</span></dt><dd>89</dd><dt><span>cell_size :</span></dt><dd>3.5</dd><dt><span>blank_dist :</span></dt><dd>35.2</dd><dt><span>power_level_dB :</span></dt><dd>-15.0</dd><dt><span>tilt_over_5deg :</span></dt><dd>0</dd><dt><span>tilt_over_10deg :</span></dt><dd>0</dd><dt><span>multibeam_alt :</span></dt><dd>0</dd><dt><span>n_beams_alt :</span></dt><dd>1</dd><dt><span>power_level_alt :</span></dt><dd>high</dd><dt><span>burst_config_alt :</span></dt><dd>{&quot;press_valid&quot;: true, &quot;temp_valid&quot;: true, &quot;compass_valid&quot;: true, &quot;tilt_valid&quot;: true, &quot;vel&quot;: false, &quot;amp&quot;: false, &quot;corr&quot;: false, &quot;le&quot;: true, &quot;altraw&quot;: true, &quot;ast&quot;: true, &quot;echo&quot;: false, &quot;ahrs&quot;: false, &quot;p_gd&quot;: false, &quot;std&quot;: false}</dd><dt><span>n_cells_alt :</span></dt><dd>0</dd><dt><span>coord_sys_axes_alt :</span></dt><dd>beam</dd><dt><span>ambig_vel_alt :</span></dt><dd>0.0</dd><dt><span>SerialNum_alt :</span></dt><dd>104922</dd><dt><span>nominal_corr_alt :</span></dt><dd>0</dd><dt><span>cell_size_alt :</span></dt><dd>0.0</dd><dt><span>blank_dist_alt :</span></dt><dd>42.0</dd><dt><span>power_level_dB_alt :</span></dt><dd>-26.0</dd><dt><span>wakeup_state :</span></dt><dd>clock</dd><dt><span>orientation :</span></dt><dd>up</dd><dt><span>orient_status :</span></dt><dd>auto_UD</dd><dt><span>proc_idle_less_3pct :</span></dt><dd>0</dd><dt><span>proc_idle_less_6pct :</span></dt><dd>0</dd><dt><span>proc_idle_less_12pct :</span></dt><dd>0</dd><dt><span>rotate_vars :</span></dt><dd>[&#x27;vel&#x27;, &#x27;accel&#x27;, &#x27;mag&#x27;]</dd><dt><span>coord_sys :</span></dt><dd>beam</dd><dt><span>fs :</span></dt><dd>1</dd><dt><span>bandwidth :</span></dt><dd>&quot;BROAD&quot;</dd><dt><span>has_imu :</span></dt><dd>0</dd><dt><span>beam_angle :</span></dt><dd>20</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 11MB\n",
@@ -857,7 +908,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x20f3d5e2f90>"
+       "<matplotlib.legend.Legend at 0x1d8048e60d0>"
       ]
      },
      "execution_count": 4,
@@ -1012,7 +1063,9 @@
     "\n",
     "We'll start wave processing by first spinning up DOLfYN's binning tools to compute wave height and period. A comprehensive overview of wave measurement and analysis can be found [here](https://essopenarchive.org/doi/full/10.22541/essoar.175130482.28547248).\n",
     "\n",
-    "Wave stats are typically computing windows of 30 minutes to an hour. Shorter windows can be used but they have lower statistical certainty. We'll use a bin size equal to 30 minutes of data, and an FFT length of half the bin size.\n",
+    "Wave stats are typically computing windows of 30 minutes to an hour. Shorter windows can be used but they have lower statistical certainty. \n",
+    "\n",
+    "In this case, the instrument was running on a duty cycle, with 600 samples measured at 1 Hz (10 minutes). Therefore, we'll use 600 datapoints in each binning window. Additionally, because we're on a duty cycle, we will create one PSD from each set of samples; so, to avoid jumping duty cycle bins, we'll set the FFT overlap to 0%. If we were sampling continuously, we'd use an FFT overlap of 50%.\n",
     "\n",
     "Now, we can calculate the energy spectrum for the surface using `power_spectral_density`."
    ]
@@ -1024,13 +1077,14 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "window = 20*60\n",
+    "n_duty_cycle = 600\n",
+    "pct_overlap = 0\n",
     "fft_tool = dolfyn.VelBinner(\n",
-    "        n_bin=window * ds_waves.fs, fs=ds_waves.fs, n_fft=ds_waves.fs * window // 2\n",
+    "        n_bin=n_duty_cycle, fs=ds_waves.fs, n_fft=n_duty_cycle\n",
     "    )\n",
     "\n",
-    "Szz_ast = fft_tool.power_spectral_density(ds_waves[\"ast_dist_alt\"], freq_units=\"Hz\")\n",
-    "Szz_le = fft_tool.power_spectral_density(ds_waves[\"le_dist_alt\"], freq_units=\"Hz\")"
+    "Szz_ast = fft_tool.power_spectral_density(ds_waves[\"ast_dist_alt\"], freq_units=\"Hz\", pct_overlap=pct_overlap)\n",
+    "Szz_le = fft_tool.power_spectral_density(ds_waves[\"le_dist_alt\"], freq_units=\"Hz\", pct_overlap=pct_overlap)"
    ]
   },
   {
@@ -1074,7 +1128,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x20f3fef6a90>"
+       "<matplotlib.legend.Legend at 0x1d804f6e0d0>"
       ]
      },
      "execution_count": 10,
@@ -1083,7 +1137,7 @@
     },
     {
      "data": {
-      "image/png": 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Nb4KutWTJErxeLxdddFHQz9LtdjN27NgaP0sRab8ayjP7P9X67LPPyM7OZvr06UF/H/x+PyeffDKrVq2iqKiIoqIiVq1axVlnnYXb7Q68Pz4+ntNOO61ZsZaWlrJs2TLOPPNMYmJigto/5ZRTKC0t5Ysvvgh6z+mnnx60PWTIEIDA38bPPvuM/Px8rrnmmnq7s/72t78F4Jlnngnse/LJJznssMMCvVrCYdy4ccTGxga2Dz74YMAah1k9vsr91f/GN8WRRx7Ju+++y2233caKFSsoKSlp1Ps++OADTjjhBHr16hW0/+KLL6a4uLjW7tTh9q9//avep63Z2dmccsopmKbJa6+9Vm8X3HfffZcZM2YwdepUrrvuumbH9Pnnn1NSUlJjqFavXr0YP358rd3om+uXX35h7dq1tf4MDjvsMFatWsWHH37IX/7yF9asWcNJJ51EcXFxo649c+bMGn8PVq1aVe9EYkVFRZx66qmUlpby7rvvkpSU1NxvrUOIjE/pIm3g4IMPbtPJmerTrVu3Gvv27NnDpk2bcDgctb6nckr2rKwsoqKiaoxJycjIaHY8e/bswTTNoO7A1fXv3z9ou7bxMC6XKyh57927N6gYrMt1113Hk08+yUsvvcSVV17Jk08+Sc+ePZkyZUqjYq/tZ7ly5UomTJjA8ccfzzPPPEPPnj1xOp289dZb3H///TU+ZDTm+8nKyqr157P/vspufCNHjqw13qaMwxGRyNZQntn/71Pl34epU6fW+Z7s7GwMw8Dv99f6d725f+uzsrLwer088cQTPPHEE7Wes//SH/v/bayceKfyb+PevXsB6NmzZ71tp6enc+655/L0009z22238d133/Hxxx/z9NNPN+t7qUtKSkrQduVMsHXtLy0tbVY7f/3rX+nZsyevvfYaDz30EG63m4kTJ/LII4/U26U1Kyur1pxV2VW6oa7GoVq5ciVbt26ts3DNycnhpJNOYseOHXzwwQc1cn91S5Ys4ayzzuKkk07ipZdeavQygbWp/L7r+tksXbq02dfe3xtvvEHXrl055phjahyLjY0N/P983HHHMWrUKI466iiefvppbrjhhgav3bNnz1r/HtR1w9rr9TJ16lR+/PFHPvrooxo3NDojFa4itXC5XJSVldXY39JJo1Jtf+C7dOlCdHR0ndO4Vz7pS01Nxev1kpWVFfShYvfu3TXe43a7a/0+9/9wUjnhwscff1zrjIDNmSUwLS2N7du3N3jegAEDmDRpEnPnzmXSpEn85z//Yc6cOYHxUw2p7Wf56quv4nA4WLx4cdDTilDW40tNTa11bNn+P/fK/05vvPEGffr0aXZ7ItL+7f/3qfLvwxNPPMFRRx1V63vS09MDMxDX9nd9/32Vf+P2/1u/fz5LTk7Gbrdz4YUX1jl/QL9+/er5bmqqnLuhMX/rZ86cyYsvvsi///1v/ve//5GUlFSj51B7ERsby5w5c5gzZw579uwJPH097bTT+OGHH+p8X2pqKrt27aqxv3Jyquo9elrCokWLGDhwIIceemiNYzk5OZx44ols3ryZZcuWBZ6u12bJkiWcccYZjB07lkWLFoW8VEzlZ5m6fjbh/LksWrSIM844o1GfMUaMGIHNZuPHH38MW/vVXXnllSxbtox33nmHoUOHtkgb7Y0KV5Fa9O3bl3Xr1gXt++CDDygsLGyjiKwp7B944AFSU1Pr/fAwbtw4Hn74YV566SWuv/76wP6XX365xrl9+/YlMzOTPXv2BJ4MlpeXs2TJkhpt//GPf2THjh01ur4216RJk5g9ezYffPBBg9PIz5w5kwkTJjB9+nTsdjtXXHFFSG1XLjlRPTGVlJQ0aor8uowdO5Z33nmHffv2BZKo3+/n9ddfDzpv4sSJREVF8fPPPzc4+YWIdC5HH300SUlJDQ6HcDqdHHnkkfzrX//ikUceCRSnBQUFvP3220Hnpqen43a7a+S0f//730HbMTExjBs3jjVr1jBkyJCwrEs5ZswYEhMTmTdvHuedd169T92OOOIIxowZw0MPPcT69eu58sorg7r1RqL9e97UJj09nYsvvphvvvmGxx9/vN7l7U444QTefPNNdu7cGTQh1QsvvEBMTEydNzPCZdGiRbXm+Mqi9ZdffmHp0qWBtU1r895773HGGWdwzDHH8NZbbzXpxvb+T+wrjR49mujoaP7xj38EZh4G64bIBx98UG8PhabYtm0bq1at4t57723U+R9++CF+v58BAwaEpf3q7rjjDp577jmef/75eodUdTYqXEVqceGFF3LnnXcye/Zsxo4dy4YNG3jyySdJTExss5h+97vfsWjRIo477jhuuOEGhgwZgt/vZ+vWrbz33nvceOONjBo1igkTJnDcccdxyy23UFRUxIgRI/j0009rLcrOPfdcZs+ezXnnncfNN99MaWkpf/3rX/H5fEHnHX300Vx55ZVccsklfPXVVxx33HHExsaya9cuPvnkEw477LDAGKWmfD+vvfYaU6ZM4bbbbuPII4+kpKSEDz/8kMmTJzNu3LjAuSeddBKDBw9m+fLlTJs2rd6ZCRvj1FNP5bHHHuOCCy7gyiuvJCsriz/96U8hrS/3hz/8gbfffpsTTjiBP/zhD0RHRzNv3rzA2NzKLsB9+/blnnvu4Q9/+AO//PILJ598MsnJyezZs4eVK1cG7tSLSOcTFxfHE088wfTp08nOzmbq1Kl07dqVvXv38s0337B3717+9re/AXDvvfdy8sknc9JJJ3HjjTfi8/l46KGHiI2NDVp2pHJ+ggULFnDAAQcwdOhQVq5cWevNzL/85S8cc8wxHHvssfz2t7+lb9++FBQUsGnTJt5+++3ATLJN+X4effRRLr/8ck488USuuOIK0tPT2bRpE9988w1PPvlk0PkzZ87k3HPPxTAMrrnmmmb8BFvXYYcdxooVK3j77bfp1q0b8fHxHHTQQYwaNYrJkyczZMgQkpOT+f7773nxxRcZPXp0vWuy33XXXSxevJhx48Yxe/ZsUlJSeOmll/jvf//Lww8/3OzPIBs2bGDDhg2A9US+uLiYN954A4DBgwczePBg1q5dW+sN1ZKSksBybY8//jherzdorHNaWlpg5t9PPvmEM844g4yMDG6//XbWrl0bdK3BgwcHZl6uTeWT3r///e/Ex8fjdrvp168fqamp3Hnnndx+++1cdNFFnH/++WRlZTFnzhzcbneN2a5r8+GHHwa6rvt8Pn799dfAz2Ds2LGkpaWxaNEikpKSgj5/gDXPxzPPPMPpp59Onz598Hg8fPXVVzz++OMMGDCAyy+/vMH2m+L111/n/vvvZ+rUqQwcODDo5+1yueq9cdDhtfXsUCKtra7ZfKsrKyszb7nlFrNXr15mdHS0OXbsWHPt2rWtNqvwIYccUut7CgsLzTvuuMM86KCDTKfTaSYmJpqHHXaYecMNN5i7d+8OnJebm2teeumlZlJSkhkTE2OedNJJ5g8//FDrbMnvvPOOOWzYMDM6Otrs37+/+eSTT9b5PSxYsMAcNWqUGRsba0ZHR5sHHHCAedFFF5lfffVVg/HXNiNjTk6OOXPmTLN3796mw+Ewu3btap566qnmDz/8UOP9d999twmYX3zxRa0/m9pQz6yLCxYsMA866CDT5XKZ/fv3Nx988EFz/vz5NWb269Onj3nqqafWeP/YsWPNsWPHBu37+OOPzVGjRpkul8vMyMgwb775ZvOhhx4ygaDZIE3Tms1y3LhxZkJCgulyucw+ffqYU6dONd9///1Gf38iEpkayjOVueP111+v9fiHH35onnrqqWZKSorpcDjMHj16mKeeemqN8//zn/+YQ4YMMZ1Op9m7d2/zj3/8Y61/v/Py8szLL7/cTE9PN2NjY83TTjvN3LJlS605YfPmzeall15q9ujRw3Q4HGZaWpo5ZswY87777msw/rpmMH7nnXfMsWPHmrGxsWZMTIw5ePBg86GHHqrxfZeVlZkul8s8+eSTa/251KYpswrvnw8q433kkUeC9tf2/dV2zbVr15pHH320GRMTYwKBnHDbbbeZI0aMMJOTkwM55oYbbjD37dvX4Pfz7bffmqeddpqZmJhoOp1Oc+jQoXXOCN3YWYUrfydq+6r873/HHXfUOttwQzPiVv9MVF87+39Wqsvjjz9u9uvXz7Tb7TV+l5599tnA73tiYqI5ZcoU87vvvmvUz6ByxYP64jrmmGNqnW34+++/N6dOnRpYZcDtdpuDBg0yb775ZjMrK6vBtuv6Pav0yCOPBP0O1/dzrG9G6M7AME3TDFsVLCIRzTAM7rrrrhoLzrcHI0aMwDAMVq1a1dahNMmECRPYsmVLi42BERGp7u6772bOnDm0x493b7/9Nqeffjr//e9/OeWUU9o6nE5l8ODBTJo0iUcffbStQ2kTu3fvpkePHrz11lvNnplbWp66CotIxMrPz2f9+vUsXryYr7/+mjfffLOtQ6rXrFmzGD58OL169SI7O5uXXnqJpUuXMn/+/LYOTUQkYm3YsIFff/2VG2+8kWHDhjFp0qS2DqnTqexK3FllZGTUGCYlkUeFq4hErNWrVzNu3DhSU1O56667OOOMM9o6pHr5fD5mz57N7t27MQyDwYMH8+KLLzJt2rS2Dk1EJGJdc801fPrppxx++OE8//zzIS2dIiIdl7oKi4iIiIiISETTSvciIiIiIiIS0VS4ioiIiIiISERT4SoiIiIiIiIRTZMzhcDv97Nz507i4+M1kYCISCdmmiYFBQV0794dm033hBtDOVRERKDxOVSFazPMnTuXuXPnUl5ezs8//9zW4YiISITYtm0bPXv2bOswIppyqIiI1KahHKpZhUOQl5dHUlIS27ZtIyEhoa3DERGRNpKfn0+vXr3Izc0lMTGxrcNpF5RDRUQEGp9D9cQ1BJVdmxISEpR0RUREXV6bQDlURESqayiHaiCOiIiIiIiIRDQVriIiIiIiIhLRVLiKiIiIiIhIRNMYVxEREYlYPp8Pj8fT1mFIO+NwOLDb7W0dhoiEkQpXEZEWsG3HdqKjo+mSktrWoYi0S6Zpsnv3bnJzc9s6FGmnkpKSyMjI0KRp7ZByqNRGhauISJjl5mSR+PeRFBDDnhlfkN41ra1DEml3KovWrl27EhMTo+JDGs00TYqLi8nMzASgW7dubRyRNIVyqNRFhauISJhlbvmegUYxCRTz3sKZnHTzS/rQLdIEPp8vULSmpuqJizRddHQ0AJmZmXTt2lXdhtsR5VCpiyZnEhEJs+L8vYHXE4r/y7atm9swGpH2p3JMa0xMTBtHIu1Z5e+Pxki3L8qhUhcVriIiYVaWty9ouzxvTxtFItK+6SmLhEK/P+2TcqjURYWriEiYeQqzgrbLS4vbKBIREZH2RTlU6qLCtRnmzp3L4MGDGTlyZFuHIiIRyF8cnHS9ZUVtFIlI5OnsOXTFihUYhtHgbMl9+/bl8ccfb5WYRCKJcqjURYVrM8yYMYMNGzawatWqtg5FRCKQUZIdtO0tL22jSEQiT2fIoZ999hl2u52TTz65wXMXLlxIUlJSjf2rVq3iyiuvbIHoghmGwVtvvdXi7bz88svY7XauvvrqWo8//fTTDB06lNjYWJKSkhg+fDgPPfQQYBXxhmHU+XX88ce3ePzSepRDpS4qXEVEwiyqNDdo21embk4incmCBQu47rrr+OSTT9i6dWuzrpGWltauJqdqaAKkBQsWcMstt/Dqq69SXBz8N3H+/PnMmjWL66+/nm+++YZPP/2UW265hcLCQsAq4nft2sWuXbtYtGgRABs3bgzs+9e//tUy35S0CeVQqYsKVxGRMHN6coO2/eUlbROIiLS6oqIi/vnPf/Lb3/6WyZMns3DhwjrPXbFiBZdccgl5eXmBp4d33303ULOrsGEYPP3000yePJmYmBgOPvhgPv/8czZt2sTxxx9PbGwso0eP5ueffw5q4+233+aII47A7XbTv39/5syZg9frDbQBcOaZZ2IYRmC7ofdVxjNv3jymTJlCbGws9913X53f55YtW/jss8+47bbbGDRoEG+88UaNGH/zm99w2WWXMWDAAA455BDOP/987r33XsAq4jMyMsjIyCAlJQWArl271tgnHYNyqNRFhauISJhFe/OCtv0eJV2RUJmmSXG5t9W/TNNsUpyvvfYaBx10EAcddBDTpk3jueeeq/MaY8aM4fHHHychISHw9PCmm26q89r33nsvF110EWvXrmXQoEFccMEFXHXVVfz+97/nq6++AuDaa68NnL9kyRKmTZvG9ddfz4YNG3j66adZuHAh999/P0Cgu/Zzzz3Hrl27AtsNva/SXXfdxZQpU/j222+59NJL64x7wYIFnHrqqSQmJjJt2jTmz58fdDwjI4MvvviCX3/9tc5rSOehHCp1iWrrAEREOpo4fz4AWUYqqWYWpkfjc0RCVeLxMXj2klZvd8M9E4lxNv7j0vz585k2bRoAJ598MoWFhSxbtowTTzyxxrlOp5PExEQMwyAjI6PBa19yySX85je/AeDWW29l9OjR3HnnnUycOBGAmTNncskllwTOv//++7ntttuYPn06AP379+fee+/llltu4a677iItLQ2ApKSkoPYbel+lCy64oN6CFcDv97Nw4UKeeOIJAM477zxmzZrFpk2bGDBgAGAVwGeddRZ9+/Zl4MCBjB49mlNOOYWpU6dis+kZS2ejHCp10V8DEZEwKvf6STQLAMh3Wh8KTd0tFukUNm7cyMqVKznvvPMAiIqK4txzz2XBggVhuf6QIUMCr9PT0wE47LDDgvaVlpaSn2998P/666+55557iIuLC3xdccUV7Nq1q8Y40+oa+74RI0Y0GPN7771HUVERkyZNAqBLly5MmDAh6GfSrVs3Pv/8c7799luuv/56PB4P06dP5+STT8bv9zfypyMdgXKo1EdPXEVEwiinsJh0w/pgV+LuCmU/gO4Wi4Qs2mFnwz0T26Tdxpo/fz5er5cePXoE9pmmicPhICcnh+Tk5JBicTgcgdeGYdS5r7LY8/v9zJkzh7POOqvGtdxud53tNPZ9sbGxDca8YMECsrOzgyaa8vv9rFmzhnvvvRe7verne+ihh3LooYcyY8YMPvnkE4499lg+/PBDxo0b12A70jEoh0p9VLiKiIRRbvY+0itel7i7Qh7gVdIVCZVhGE3qstvavF4vL7zwAo8++igTJkwIOnb22Wfz0ksvBY0/reR0OvH5fC0S0+GHH87GjRsDXXJr43A4arTfmPc1RlZWFv/+97959dVXOeSQQwL7/X4/xx57LO+++y6TJ0+u9b2DBw8GrMmupPNQDpX6RG4GEBFphwpzMq1/icUXVfE0wqekK9LRLV68mJycHC677DISExODjk2dOpX58+fXWrj27ds3MA526NChxMTEhG0ZnNmzZzN58mR69erFOeecg81mY926dXz77beBWYD79u3LsmXLOProo3G5XCQnJzfqfY3x4osvkpqaGrhGdZMnT2b+/PlMnjyZ3/72t3Tv3p3x48fTs2dPdu3axX333UdaWhqjR48Oy89C2gflUKmPxriKiITR3sxdABTZE8ARDYBNd4tFOrz58+dz4okn1ihawXriunbtWlavXl3j2JgxY7j66qs599xzSUtL4+GHHw5bTBMnTmTx4sUsXbqUkSNHctRRR/HYY4/Rp0+fwDmPPvooS5cupVevXgwfPrzR72uMBQsWcOaZZ9Y6wdLZZ5/N4sWL2bNnDyeeeCJffPEF55xzDgMHDuTss8/G7XazbNkyUlNTQ/shSLuiHCr1McymzvMuAfn5+SQmJpKXl0dCQkJbhyMibazU42P2w3/iYc8D7Ik/hK0ZJzHyp8f5MmECo2a93tbhSQtSPmi6+n5mpaWlbN68mX79+tU7FlOkPvo9al+UQzuvxuZQPXEVEQmTJz/YRI+SHwDoktELw2F9ULL5ytsyLBERkYinHCoNUeEqIhIGS77bzbPLv+NC+3sA2Ieei81pdXOya3yOiIhInZRDpTFUuIqIhMED73zPBfYPSDEKIakPHHw6doc1wUqUv6yNoxMREYlcyqHSGCpcRURClF/qITH7W26NetXacfT1YI/C7rS6OdmVdEVERGqlHCqNpcK1GebOncvgwYMZOXJkW4ciIhHgx90FPOCYj8vwwEGnwBGXAmBzWd2covzl+PyaB08ElENFJJhyqDSWCtdmmDFjBhs2bGDVqlVtHYqIRICftu9hsPGrtXHqY1Cx9EOUy+rmZHhLOOSu/7Hku91tFaJIxFAOFZHqlEOlsVS4ioiEKP/XddgMk0JHCiR0C+x3OK2k66acBE8WV734VVuFKCIiEpGUQ6WxVLiKiDTD/f/dwNF//IAfdudD5ncAFCUNCjrHUdHNqbdtLyvdM5hmf7/V4xQREYk0yqHSHCpcRUSa6Ifd+bz2yXoS8n7g2pfX4M7aAIC922FB5zncsUHb9zmea7UYRUREIpFyqDSXClcRkSZ6dMlGnnc8xLuu33Ni1ssMsm0DILHvsKDzXNGxNd5rmppgQqQzW7FiBYZhkJubW+95ffv25fHHH2+VmERak3KoNJcKVxGRJtidV0rUxrcZbtsEwG2OVxll+wEAR/chQec63dE13p9X4mn5IEWkTX322WfY7XZOPvnkBs9duHAhSUlJNfavWrWKK6+8sgWiC2YYBm+99VaLXf/444/nd7/7Xb3t1/b16quvtlhM0naUQyUUKlxFRJpgZ04hN0X909pIr9atybBBl4FB57rdNe8Wb88qaMnwRCQCLFiwgOuuu45PPvmErVu3NusaaWlpxMTEhDmyluPxNL+geO6559i1a1fQ1xlnnBG+4CRiKIdKKFS4iog0QcmujRxg20UpLrjkHbjwLeh7LIy5DqKcQefanDU/dGbv/rWVIhWRtlBUVMQ///lPfvvb3zJ58mQWLlxY57krVqzgkksuIS8vL/Ck8e677wZqdhU2DIOnn36ayZMnExMTw8EHH8znn3/Opk2bOP7444mNjWX06NH8/PPPQW28/fbbHHHEEbjdbvr378+cOXPwer2BNgDOPPNMDMMIbDf0vsp45s2bx5QpU4iNjeW+++5r9s8sKSmJjIyMoC+3293s60nkUg6VUKhwFRFpgtKcnQBkO9LBnQAHjIOLF8NJ99Q82R5VY1fhnl9aOkSRjsk0obyo9b+aOKbutdde46CDDuKggw5i2rRpPPfcc3WOyxszZgyPP/44CQkJgSeNN910U53Xvvfee7noootYu3YtgwYN4oILLuCqq67i97//PV99ZS0Vcu211wbOX7JkCdOmTeP6669nw4YNPP300yxcuJD7778fILCWbuUTz8rtht5X6a677mLKlCl8++23XHrppU36OUnnpBwqoaj5GyEiInXy5lkLoBc7uzTv/VlbwhiNSCfiKYYHurd+u7fvBGfNLot1mT9/PtOmTQPg5JNPprCwkGXLlnHiiSfWONfpdJKYmIhhGGRkZDR47UsuuYTf/OY3ANx6662MHj2aO++8k4kTJwIwc+ZMLrnkksD5999/P7fddhvTp08HoH///tx7773ccsst3HXXXaSlpQFVTzwb+75KF1xwQVgK1vPPPx+73R60b926dfTv3z/ka0tkUQ6VUKhwFRFpArNwDwDl7rRmvd+Wty2c4YhIBNm4cSMrV67kX//6FwBRUVGce+65LFiwoNbCtamGDKmavCY9PR2Aww47LGhfaWkp+fn5JCQk8PXXX7Nq1aqgJ6U+n4/S0lKKi4vrHEPb2PeNGDEi5O8J4M9//nONn0+vXr3Ccm2JLMqhEgoVriIiTRBVnAmAP7Zrs94fV7IznOGIdB6OGOvpZ1u020jz58/H6/XSo0ePwD7TNHE4HOTk5JCcnBxaKA5H4LVhGHXu8/v9gX/nzJnDWWedVeNa9Y0hbez7YmMb/yS6PhkZGQwYMCAs15LIphwqoVDhKiLSBM7SvQAY8c1LuvGeveEMR6TzMIwmddltbV6vlxdeeIFHH32UCRMmBB07++yzeemll4LGn1ZyOp34fL4Wienwww9n48aN9RaFDoejRvuNeZ9Ic4SaQ+M8+8IZjrQzKlxFRJogtjwLAGdit2a9P8aXH85wRCRCLF68mJycHC677DISExODjk2dOpX58+fXWrj27ds3MA526NChxMTEhG0ZnNmzZzN58mR69erFOeecg81mY926dXz77beBWYD79u3LsmXLOProo3G5XCQnJzfqfU2xd+9e1q5dG7SvcvZggNzcXHbv3h10PD4+PmxPdCVyhJpDY3154QxH2hnNKiwi0gQJvmwA3MnNmyQm3q/CVaQjmj9/PieeeGKNohWsJ65r165l9erVNY6NGTOGq6++mnPPPZe0tDQefvjhsMU0ceJEFi9ezNKlSxk5ciRHHXUUjz32GH369Amc8+ijj7J06VJ69erF8OHDG/2+pnj55ZcZPnx40Ne8efMCxy+55BK6desW9PXEE0+E9s1LRAo1h8b6C8MZjrQzhlnXHO3SoPz8fBITE8nLyyMhIaGtwxGRFubx+cm/pzepRgG501eQ1G94w2+62/oQ6+0+gqidX1FounHcuRNXlL2BN0p7onzQdPX9zEpLS9m8eTP9+vXTep7SbPo9iiwh5dBuw4natYZ8MwbXnduVQzuYxuZQPXEVEWmk7PwiUo0CABK69Gzcm37zAhwwHtuZ1tOFOKOUvALdMRYRkc4lpBx6xt+s9xnF5BWVtFSIEuE0xlVEpJFy9+0kHfBiIyo2tXFvGjwFBk/B5vfjw8COSWFOJl2Ta3YnFBER6ahCyqE+b2BXYc4+uibGtUyQEtH0xFVEpJEKs6xp+HONJLA18c+nzUa+YXV/Kc7TzMIiItK5hJRD7VEUYk3WVaQc2mmpcBURaaSyHCvpFkSlNOv9hTarcC1V0hURkU4m9BwaD0BJnpbE6axUuIqINJInbxcAxc4uzXp/cZTVPbg8X0lXpDE0f6SEQr8/kSX0HGrd/C0vUA7trFS4NsPcuXMZPHgwI0eObOtQRKQVlWdtB8AXk9a89zuswtVfpKQrnVdjcqjD4QCguLi4tcKSDqjy96fy90naVqg5tKwih/qKssIWk7QvmpypGWbMmMGMGTMCUzeLSOfQLetzABw9GzGFfy08rhQoBLM4O5xhibQrjcmhdrudpKQkMjMzAYiJicEwjNYMU9ox0zQpLi4mMzOTpKQk7HYtnRIJQs2hXmcSFIG/SDm0s1LhKiLSCLl7tjHYtxEMyBg1tVnX8LmTAbCVKumKNCQjIwMgULyKNFVSUlLg90jaVjhyqLcihxqlOeEMTdoRFa4iIo2wa+W/SDJMvrcdyMEZfZp3kRgr6UYp6Yo0yDAMunXrRteuXfF4PG0djrQzDodDT1ojSFhyaHQSAPbS3LDFJe2LClcRkUZwbnoXgC1p4zi4mdewx1oTUrg9ueEJSqQTsNvtKkBE2rlw5FBbjLX2q7M8NzxBSbujyZlERBqhS8EGAKIOPKHZ13DEVRSu3rywxCQiItIehCeHWoWry6Mc2lmpcBURaYhpEusvAKBPn37Nvowr0ZpJMc6npCsiIp1EuHJovFW4xvjywxKWtD8qXEVEGuAvLSAKPwBJKc2bxh8gPrmr9a+/QOsLiohIpxCuHBqXYk20Fe/PUw7tpFS4iog0oDDfWjOu3LSTEJ/Q7OskdekGQIJRTGFxSVhiExERiWThy6FW4ZpMAfnFmrCtM1LhKiLSgKKcfQDkE4fb2fw57aITUvGb1lqU2Vla4kNERDq+cOVQV4LVa8lteNiXq9n5OyMVriIiDSgusO4WF9niQruQzU6BYV2jIGt3qGGJiIhEvLDlUGcs5TgAyFcO7ZRUuIqINKA0PxuA4lCTLlBkj7f+zdUTVxER6fjClkMNg3xbIgCF2SpcOyMVriIiDfAUWUm3NKr5Y3MqFUclWdfK2xvytURERCJdOHNoiSPJ+jdPN387IxWuIiIN8BZZY2k8jtCTrseZZP1buC/ka4mIiES6cObQMmeydc0C3fztjFS4iog0wCyxkq7PGXrS9blTrGsWZYV8LRERkUjXEjnUr5u/nZIKVxGRhpTkAuB3J4Z8KSMmpeKa2SFfS0REJOKFMYcS2wUAo0Q3fzsjFa4iIg2wl+cBYEQnh3wtW5yVdB2lmspfREQ6vnDmUHtF4RqlHNopqXAVEWlAVHkBAPaY0JOuK95Kui5PXsjXEhERiXRhzaEJVg6N9qhw7YxUuIqINMDlzQcgKjb0pBudZC2gHuPLDflaIiIikS6cOTQmOQOAWG8epmmGfD1pX1S4iog0INpn3S12xaWEfK245DQA4v0FlHl9IV9PREQkkoU3h6YDkEQ+BWXekK8n7YsKVxGRBsT6CwGITghf0k0xCsgqLA/5eiIiIpEsnDnUlWj1Wko18pVDOyEVriIi9TD9fuJNK+nGJnUJ+XpGrPXENckoIjuvMOTriYiIRKpw51CCcmhB6NeTdkWFq4hIPUpKCnEaVnek+HAk3egUvNgByM/aGfr1REREIlRL5tCC7N2hX0/aFRWuIiL1yM+x1orzmjZi4pJCv6DNRr7dmqCiOHtH6NcTERGJUC2ZQ0uzdfO3s1HhKiJSj6LcfQAUGrEYtvD8ySxypALw7Q8/8fKXW8NyTRERkUjTEjm0uCKHrt/4o3JoJ6PCVUSkHsUF1t3iQltc2K5Z6ra6S121934G/fdM1m/ZE7Zri4iIRIqWyaHWONdrsh5QDu1kVLiKiNSjNN9KuqVhTLre6Iq1XI0yDrdtwvfLR2G7toiISKRoiRzqi7EKV+XQzkeFq4hIPUpzrTu5Zc7Qp/EPiEsPbsOj9VxFRKTjaZEcGp8R3IZyaKehwlVEpB6+AivplkeHYTbEClGJwUm3rCgnbNcWERGJFC2RQ+0JwTd/lUM7DxWuIiL1MIr2Wi/iuobtmq7k7kHb3sKssF1bREQkUrRIDk1SDu2sVLiKiNTDWWIl3aj49AbObLy41OCkS4nuFouISMfTEjk0Vjm001LhKiJSj+jybADcyRkNnNl48Wm9graN0tywXVtERCRSKIdKOKlwFRGpg2maxPuspBu//x3eEDgSghO4vSw3bNcWERGJBMqhEm6dvnBdvHgxBx10EAceeCDPPvtsW4cjIhGksMxLKnkAJKX1CN+FHW446V7Koq2uU05PfviuLdKKlENFpC7KoRJuUW0dQFvyer3MmjWL5cuXk5CQwOGHH85ZZ51FSkoYp+wWkXZrT04+A4wiANxJ3cJ78aOvZ7e/K32WXUW0V0lX2h/lUBGpj3KohFunfuK6cuVKDjnkEHr06EF8fDynnHIKS5YsaeuwRCRCZGfuBMCLHaKTw379mMRUAGL9BZimGfbri7Qk5VARqY9yqIRbuy5cP/roI0477TS6d++OYRi89dZbNc556qmn6NevH263myOOOIKPP/44cGznzp306FHVdaFnz57s2LGjNUIXkXagYJ/19yDfngS28P+5jEtOAyCRQorLtYC6tC7lUBFpScqhEm7tunAtKipi6NChPPnkk7Uef+211/jd737HH/7wB9asWcOxxx7LpEmT2Lp1K0Ctd2cMw2jRmEWknfhpKa4dXwBQ7GiZro/ueOtucSKFZBeWtUgbInVRDhWRFqMcKi2gXY9xnTRpEpMmTarz+GOPPcZll13G5ZdfDsDjjz/OkiVL+Nvf/saDDz5Ijx49gu4Ob9++nVGjRtV5vbKyMsrKqv7HyM9Xn3qRjqhs62pcL03lmIrtcneXFmnHiLGSudPwkZuXS6/U2BZpR6Q2yqEi0hKUQ6WltOsnrvUpLy/n66+/ZsKECUH7J0yYwGeffQbAkUceyfr169mxYwcFBQW88847TJw4sc5rPvjggyQmJga+evXqVee5ItJ+/bLyv0HbZkxayzTkiMGDA4BFn37bMm2ININyqIg0l3KotJQOW7ju27cPn89Henp60P709HR2794NQFRUFI8++ijjxo1j+PDh3HzzzaSmptZ5zd///vfk5eUFvrZt29ai34OItA3/r58FbUenhHk2xEqGAdFJAKzc8DOrtmS3TDsiTaQcKiLNpRwqLaVddxVujP3H25imGbTv9NNP5/TTT2/UtVwuFy6XK6zxiUhkMf0+ehasC9rXPa2F7hYDjrguULKXbkYWP+wu4IC0OJb/kMkph3Uj2mlvsXZFGkM5VESaQjlUWlKHfeLapUsX7HZ74M5wpczMzBp3kEVEKv284WtrhkKz2gfsmBZcl7L3UQCcYFtNZn4pj85/gYS3LmTBf95vuTZFGqAcKiLNoRwqLanDFq5Op5MjjjiCpUuXBu1funQpY8aMaaOoRCTSbf/mAwC2RA+GS/4HR82A4dNarsHBUwCYaP+KfXlF3J99IyfZV3PE+vtark2RBiiHikhzKIdKS2rXXYULCwvZtGlTYHvz5s2sXbuWlJQUevfuzaxZs7jwwgsZMWIEo0eP5u9//ztbt27l6quvbsOoRSSSuXauAqC8+5HQZ7T11ZL6HkOZI4lUTy6J+74O7O5h7G3ZdqXTUw4VkXBTDpWW1K4L16+++opx48YFtmfNmgXA9OnTWbhwIeeeey5ZWVncc8897Nq1i0MPPZR33nmHPn36hNTu3LlzmTt3Lj6fFjsW6Whiy61kZ3Q5sHUatDvITx9J2valpOVWjQvKsyWhOVelJSmHiki4VeZQW5pyqIRfuy5cjz/++FoXQK/ummuu4ZprrglruzNmzGDGjBnk5+eTmJgY1muLSNty+YoAcMYmtVqbRsoBsH0ph5d8FhjAYcffau1L56QcKiLh5vIVAuCISWq1NpVDO48OO8ZVRKQ5ov1W4eqOT2q1Nt3pAwAYbqvqtpngy2m19kVERMLB7S+2/o1Pbr02lUM7DRWuIiLVxJhW0o2Oa72kG5NRs0tVqpmD36c7xiIi0j6YpklsRQ6NacXCVTm081DhKiJSodTjIw4r6cYmtuD0/fuxpR5QY5/b8JCXpzvGIiLSPpR5/VU5NKH1Clfl0M5DhauISIWComLchgeA2FZ84kpC91p35+/b3noxiIiIhCCvsKgqh7biE1fl0M5DhWszzJ07l8GDBzNy5Mi2DkVEwqig2t1Zmzu+9Rq22YM2t9INgMKsna0Xg0grUQ4V6Ziq51DDpRwq4afCtRlmzJjBhg0bWLVqVVuHIiJhVFxgJd1i3GBv3UnXvelDAfCPvo5CRyoAZTm7WjUGkdagHCrSMVXm0BLlUGkhKlxFRCqUFFYkXSOm1duOOv8fMPlxbCfeTYnLSrqHr7wB8na0eiwiIiJNVVJ589emHCotQ4WriEiFssJcAErtrZ90SeoNIy4BexRFiQMDuz1fPtP6sYiIiDRRZQ4ta4PCVTm0c1DhKiJSwVOcB0C5Pa5N4zj4N3P4yBgBwPaNq9s0FhERkcYor8yhUcqh0jJUuIqIVPBWJF1PGyfdtMRYykZcBYArd1MDZ4uIiLQ95VBpaSpcRUQq+EuspOtztuJsiHUYPMSacTXdu5OCwsI2jkZERKR+/pJ8AHwO5VBpGSpcRUQqmGUF1r/Otr1bDNCjZ18KicVumKxb93WD52/eV8RlC1fx9a9acF1ERFqfWWYVrmZrLoVTB+XQjkmFazNoDTqRjsmoSLq4Eto2EADDICumHwDZW75t8PTLFq5i2Q+ZXPHCVy0dmUhIlENFOiaj4uavoRwqLUSFazNoDTqRjslWbnUnMqIjIOkCBXFW0o3O39Lgub/sKwIgu6i8JUMSCZlyqEjHZPdYhatNOVRaSLNWB/7Pf/7T5PecdNJJREdHN6c5EZFWEeW1CteoCEm6vuguANjKcus9z+vzA+CiHHd0bEuHJSIiUkOUpyKHxiiHSstoVuF6xhlnNOl8wzD46aef6N+/f3OaExFpFc6KwtURk9jGkVhs0VYcUWV59Z73455CxtnW8IzjUf7iuAqY0ArRiYiIVHH6rBzqjElq20AqKId2PM3uKrx79278fn+jvmJi2mAhYhGRJnL5rK5CztjkNo7E4ohLAcDpya/3vI178nnO+QhRhp8by//WGqGJiIgEcfmKAXDGJrVtIBWUQzueZhWu06dPb1K332nTppGQEBndBkREamOaJtF+q3CNjktq22AqOCuSrstXUO95+wqCx+T4/WaLxSQiIrI/j89PrFmRQ+OT2jaYCsqhHU+zCtfnnnuO+PjGT3X9t7/9jS5dujSnKRGRVlFU7iOOEgBi4iPjias73kq6Mf7gNejmLt/EhfO/JK/YA0B2YUngWJYZT36pp/WCFBGRTi+/xFMth6a0cTQW5dCOJ+RZhcePH8+cOXNq7M/JyWH8+PGhXl5EpFXkl3iIM6zk5YyNjDGuMQmpAMSaRYHJIwrLvLz13jKG/vIM7y+aB4CRsznwnmwzgZxiJV0REWk9edVyqD1CJjhUDu14mjU5U3UrVqzg22+/Zc2aNbz00kvExlqzcZWXl/Phhx+GHGAkmjt3LnPnzsXn87V1KCISJvkl5fTHGp9juCMj6cYlWkk3kSLySjykxrlYsTGTvzkeZ4BtJ/z8Oi8uOZyfv1sFTus9MUYpe4rL6YdmRpTIpBwq0vHkl3joWZFDcTW+V2ZLUg7teMKyjuv777/P7t27Oeqoo9iyZUs4LhnRtAadSMeTX1iE06j4IB0Ji6cDUbFWN6d4o4TcIutO9mfffG8l3Aqvr/ia7kZWYDueYnKLtQ6dRC7lUJGOp6BIOVRaXlgK127duvHhhx8yZMgQRo4cyYoVK8JxWRGRVlNckFu14YxrsziCVHvyW5CbDUD07q+CTok3iulq5Aa24yhl3vKf8FR0ixIREWlpJQU5VRvKodJCQi5cDcMAwOVy8dJLLzFz5kxOPvlknnrqqZCDExFpLWUVSbfEiAFbWO7phc7uoBhrBveS/H0AHFD2XdApcZTQ1aj6wGAzTH74dSef/LSv9eIUEZFOrawwF1AOlZYV8hhX0wyeMvqOO+7g4IMPZvr06aFeWkSk1ZQW5Vr/2mNo/GJfLa/EHkuMr4SSAutu8UDvj0HHn3Y+XuM98RSzt6CsNcITERGhrDjX+tceqxwqLSbkwnXz5s2kpaUF7Tv77LMZNGgQX331VR3vEhGJLN5iK6mVRUXG2JxKpfYE8O2jLD8b0zRJ9ueCDXKMJJLN3FrfE2+UaDp/ERFpNb4i66llWVRkTMxUSTm0Ywn5WX6fPn0C3YWrO+SQQ/TUVUTaDX/F3WKPI7IKV9NtLc3z09YdFJX7SDCsBd5znN3qfE8CReSXelslPhEREX+JVbh6nJGxnFwl5dCOpdmFa35+fqO+RETahYqk63UmtW0c+0lN7QpAbObXrPk1mySspFvg7l7z5JT+AIyyfU+B7haLiEgrMUpyAfC5IqtwVQ7tWJpduCYlJZGcnFznV+VxEZH2wFaWB4DfHVlJNzqxCwCXRb3Ltg+exVGx3EBRTI+aJyf1BuBGxxskZa9rtRhFRKRzs1fmUFdS2wayH+XQjqXZY1yXL18eeG2aJqeccgrPPvssPXrU8osgIhLhospyrRfREXbD7fCLYO1LAPTc9zEAZTjwRnepee6ubwIv0wvWt0p4IiIiUeW5ABgxyqHScppduI4dOzZo2263c9RRR9G/f/+Qg4p0c+fOZe7cufh8vrYORUTCxOmxhjbYIy3p9j6K1YfdweHf3kd/z49gQJERh+HebyzuBa/D1s/gkz8D4CsvbYNgRRqmHCrS8bg8BQDYIu3mr3JohxIhCy21LzNmzGDDhg2sWrWqrUMRkTBxe62kGxUbYUkXiEk/EICehrWuXLE9Hlt0VZfm1QdeBwMnwLE3UhTfDwCHR3MMSGRSDhXpeFxeK+c44pRDpeWocBURAWJ8VpJyxqe2cSQ1pfYaFLRdEpWAo1rSNaJTrBeueHL6TwHA7clrtfhERKRzi/VbN3+dccqh0nLCWrjWtiyOiEik8/r8xJmFALgjsXDtcQAe0x7YLnMk4oitlnRjq2KOqvjQEONV0hURkZZX5vURX5lDE5RDpeU0e4zrmWeeGVSolpaWcvXVVxMbGxt03r/+9a/mRyci0goKy7wkVqztFpNYy4QNbcwW5WCXLY0e5m7AWrLHVS3pRsVXxVz5xLjy7reIiEhLKiityqHuBOVQaTnNLlyTkpKCtqdNmxZqLCIibSKvxENKxdpuUbEpbRxN7bJdPelRaiVdnyuR6PikwDFnXFXSdVXc7U6gkFKPD7fDjoiISEvJL/GQVpFDI26CwwrKoR1DswvXjIwMzjjjDEaNGhXOeEREWl1+UQl9jBJrw53UprHUpbz3MfDjVwD4XElEx1d9OHDHVs2OGB2fBkCSUUhBqVdJV0REWlR+cQn9lUOlFTR7jOvu3bs57bTT6NatG1deeSXvvPMOZWVl4YxNRKRVFOdnVW24E+s+sQ0dMunqwGu3WUJMXCIve8fxpu9ojIpF0wFsFbMiJ1FIXomn1eMUEZHOpSRPOVRaR7ML1+eee449e/bwz3/+k6SkJGbNmkWXLl0466yzWLhwIfv27QtnnCIiLaY0v2KKfCMG7M3uiNKi3Mnd2NtnMgAHHHc+8a4oXut2M0+n3kb35JiqEyvW0Is1yvh2S2ZbhCoiIp1IaYFVuCqHSksL6bfLMAyOPfZYjj32WB5++GG+//573n77bZ555hmuuuoqRo0axemnn875559Pjx49whWziEhYlRdkA1BkTyCmgXPbUtpFz0PhHmITrb+nb/52DCZgt1Wb0d2ViB8bNvys+fEXzjyyf9sEKyIinYJyqLSWsC6Hc/DBB3PLLbfw6aefsn37dqZPn87HH3/MK6+8Es5mRETCyltkJd0ye3wbR9IAexQkVt0EtNmM4IRr7cTntu4Yb928EdM0WfzxSp76+1xKPb7WjFZERDoBX3FFDo1SDpWW1WLP89PS0rjsssu47LLLWqoJEZGw8BXnAFDujMyxOU3Wewz8+DaHl62koPRyJi87CYAVH/fn+PGT2jg4ERHpSPyVOdShHCotq8lPXEtKStixY0eN/d99911YAhIRaXUluQB4nQn1n9dOGINOAeAk29esXb4osD8x74e2CklERDooM5BDO0bhqhwauZpUuL7xxhsMHDiQU045hSFDhvDll18Gjl144YVhDy5SzZ07l8GDBzNy5Mi2DkVEwsBWlguA35XUpnGES9SB4wE42LYN24a3Avu9ZcVtFJFIFeVQkY7FXpoLgN/VMQpX5dDI1aTC9b777mP16tV88803LFiwgEsvvZSXX34ZANM0WyTASDRjxgw2bNjAqlWr2joUEQkDe1keAGZ0ZC6c3mTRKYGXsWVVsyLairNqOzssPt20jw9+2BO0zzRN9hWWdar8IA1TDhXpWOzlyqHSOpo0xtXj8ZCWZi3MO2LECD766CPOOussNm3ahGEYDbxbRCQyGaXW+JyomA6SdKOceIjCgZc4b05gt700PEl3W3YxWUXlDOuVBIDfb/J/z1o9cD68+Xj6pMYCcOuidfzzq+2cO6IXD00dEpa2RUQksiiHSmtp0hPXrl27sm7dusB2amoqS5cu5fvvvw/aLyLSXmQWlGKUWneLu3fr3sbRhE8JbgASzbzAPmdZdliufezDyzlj7qds3lcEQLnPHzj28U/Wmri5xeX886vtALz21bawtCsiIpFFOVRaU5MK1xdffJGuXbsG7XM6nbzyyit8+OGHYQ1MRKQ1fP5zFumGdUc1NimtjaMJn1LDSrqpZm5gn6s8t/aTm2nddut61ZcIWLstl3+v3cGwe5YG9kXtv9yAiIh0CMqh0pqaVLj27NmTjIyMWo8dffTRYQlIRKQ1rfpxBwcbW62NbkPbNpgwKrVFA2A3qsaXxnhzw9qG12ddu8xb9cR1T34pN78R3AMn2mEPa7siIhIZlEOlNYVlHdfS0lLWrVtHZmYmfr8/6Njpp58ejiZERFpE3qYvcBg+SqPTcSf1butwwqbcFg37rZUe680lq7CMT3/O4tTDutVYeH3N1hyKynwcc2CXOq/rrdYt2Ov3Y5omb63ZwbOOR0g0iriv6E/EuaLI9pYHziv1atF2EZGOqLPl0H2FZXxWRw5dvTWH4gZyqIQm5ML1f//7HxdddBH79u2rccwwDHw+fWARkci0NauYPkXrwAFRfcdAB5pkrtwWU2NfnFnA+S+u4stf8/g5s5AbThoYOOb3m5z51GcArLz9BLomuGu9bpnXzxm2Txho247HewjzPvyFR/+3nk3uNQDYd60m2xwY9B6Pz8Tr8xNlb/LS4SIiEqE6ZQ79xyq+3FJ7Dj2rETlUQhPyp4hrr72Wc845h127duH3+4O+VLSKSKQq9fi4+Y1vGGnbCFQk3Q7EY4+usc+GyY+/WhMlPffp5qBjOcVVT0i35ZTUed0yr5/HnU9xTdR/SNv7OX9Z9iNuqt7bw6h5ExOg1Ouvdb+IiLQ/nTaHbrFy6IL9cmhuiSfwur4cKqEJuXDNzMxk1qxZpKenhyMeEZFWcduidazavI/DbT9ZO3of1bYBhZk3qubdYoAYygDIL/Vy5lOf8vY3OwHILCgLnJNVWFbrewHKqnX7dRbtxOc3cVOVsHsa+0gjh9uiXqaPsTuwv6RcNzJFRDqKzp5DC/bLofsKG5dDJTQhF65Tp05lxYoVYQhFRKR1FJZ5+fc3OznI2Ea8UQLOeEg/pK3DCivffknXa1p/7qONMi6zv8OfHXP5buternvF6uJbvXDdk19a53VLqxWgZlkhNsPAVe2Jaz9jFw87/s7VUYv50DWLa+xvWe/zqHAVEekIlENr5tB9jcyhEpqQx7g++eSTnHPOOXz88cccdthhOByOoOPXX399qE2IiITVuu25mCZcELvKmnyhz2iwdayZb/dPulkkkE4uyRRyp+MfAHzqP5Q3fGMByMwvZYTxA3FGCbvzD6jzuuVlRYHXZlkhcUYZh9i2BPZ1MfI4ovIOPHCL45885TtDhauISAehHFozh+4tLGtUDpXQhFy4vvzyyyxZsoTo6GhWrFiBUW1gtmEYKlxFJOKs2ZqLi3LONN+3dhxxcZvG0xJMR2zgtce0k2fGkm7kcpRtQ2D/H6Oe4UOftXzBvvwi3nDdA8BdWaOBQbVe11NaNXYnMyuLR3mM453fBPaNt6+t8R4bfko9GuMqItIRKIdagnJoXuNyqIQm5K7Cd9xxB/fccw95eXls2bKFzZs3B75++eWXcMQoIhJWa7bmMsX+KXH+fEjqDQNPbuuQwq560i3BSVnFYurH26uKzCjDz+2OlwAoz9oa2J+3Z1ud1/WUFgde+4pzg65Xl0m2lZR4fLy6citnPfUpy77f0/hvREREIopyqCUoh2Y3LodKaEIuXMvLyzn33HOx2bTMgYhEPtM0Wbsth4vsS60dR17Z4bo4AZjOuMDrUlx4o6wZEqt34wXoY+yh1OPDlrMlsC9n707+t35Xrdf1VOsqnGIUNCqWG6P+SanHx23/+pbVW3P503s/NvbbEBGRCKIc2rgcOnf5plaJs7MJudqcPn06r732WjhiERFpcdtzSvAUZnNo5bjMoRe0aTwtxXBVv1vswrff1P4v26cAkEQhOcXluAu3BI51IY81W3Nrva6vrKqrcKqR36hYoo1yCsu8ge3vd+VTruVxRETaHeVQy/451FXwa+BYF/JIcIc8GlNqEfJP1efz8fDDD7NkyRKGDBlSY3Kmxx57LNQmIs7cuXOZO3eu1qkVaYdWb81hqO1nayPlAIhNbduAWojhqrpbXGa48EXFUm3yX847fTK8+W9SjAJ2FnlIKK7q2pRm5FJUx/I1vvKqJ65JFDYqlmjKyCoqD9r3y75CBmUkNOr90rEoh4q0X8qhlv1zaHxxVVfhW45JIn1031aMtvMIuXD99ttvGT58OADr168POlZ9oqaOZMaMGcyYMYP8/HwSExPbOhwRaYL1O/IYalQk3Z4j2jaYFmSvlnTLDRemI3iGRFu3wwBIMorYUFhMN89WqPiTnWbksbeuwrUJT1wLJj1B/LvXEU1Z0FIBAMVa17XTUg4Vab+UQy3759D0sqonrum2xvVGkqYLuXBdvnx5OOIQEWkV+wrLObXybnGPI9o2mBbkTa6ajt+NhyJnVdL125zYUgcEtrP2bGc83we2L4t6l1tKLq/1un5P1eRMXRooXB2JGQC4DC9rtuwLOqblcURE2h/l0Jo5NHfvDsaaGwI3f/niKRh1FST3baVoO49mjXFdt24dfn/jxyd99913eL3ehk8UEWlhecXlVd2cOnDSNZJ7B14PMLdgOKvG63jjuoHdQZEtHoANy18l1gh+Ijoq5+1ar+svb/zC6s6E9MDr1T/vCDpWpjGuIiLtjnJobTn0lRo5lCV/aJU4O5tmFa7Dhw8nKyur0eePHj2arVu3NnyiiEgLcxRuJ83Ix284IP3Qtg6nxfRKjmGxbxQA30Ydiq3aRBMk9ACg1JEEwBnedwH4nv6BU5LKas4q/PnPWbz3zZZGx2CLTcWsuAUdTXBSL9O6riIi7Y5yKDVy6Gnl++XQuHQ47S+tFmtn0qyuwqZpcueddxITE9PwyVhL5oiIRILuRVaX2OKUQcQ53G0cTcvpkRTNCZ5r+No/kJW2Mdxh/zlwLCq5JwC22BQo28ZBtu0A3FN+Pn85YDVdt73LvqJydueVkpFY9TM6/5kvONdeCsFz8NXNGWfdpS4vJNooB7PqUJlXXYVFRNob5dD6c+gr10+yugi74tsi7A6vWYXrcccdx8aNGxt9/ujRo4mOjm74RBGRFtanzFpDtDx9WNsG0sJsNoNyHDznmwTF4LFV/Q22dRkIQExSV8i29u00U0gdPJ7iJAO2vYvbLOOoB5fxywOnYLNVTbTnpgk3Ip2x4IiG8kJi9n/iqq7CIiLtjnJo/TmUjMPaItxOo1mF64oVK8IchohIyzNNk3hfDtggqtr4lc6gW1oKVN5v7HIgAK6Ku8YA+RljuGvKYZR9uQqAGKyxrKu2ZPPppn0sWm2NUa23cHUnQXQS5GwBmwPsDqiYiTGGUoYZm0gyClnhH6bCVUSknVEOrdioJ4dKy2rWGFcRkfaoxOMjzrTWIXXFJbdxNC3vjGHdAeiVEs2BPasmSiLtIOvfIb8J7Bp05ATS4l1ERVtLAMRWFK4LP9vCXz/YxI5caxmcegvXjMOscT0HjIcZX1r7KgpXt1HOW67ZLHQ+zEBjG2WaVVhEpF1RDq1QTw6VlhXycjgiIu1FbrGHeKzlXJydIOned+Zh9E+L47Sh3WHH4qoDKRUTSPQeDf2Ph13fwMCTAXBEJwAQUzFD4rvrdwNgx8cI40ducCyq0Y730qVErX0Rxt4KiT2ta1aqWEIgicLArhNtqynznhim71JERFqDcmiFenKotCwVriLSaeSVeEgwrKRruBPbOJqWF+eK4voTrC5NlB9UdSCq4q6wYcD/vQGmP7DP6baeuFZ2FQaYHfUCZ9s/ItGoWsO1kt+dRFTvI6H3kbUHUfHENcPICewabPuVH2vpKuz1+Xl55VZG9UvloAxNbCEiEkmUQyvUk0OlZalwFZFOI7fYQ/eKu8V0gqQbpPswmPYvSOkXvN8ePEWwK9YqGGOMMsbGbqV/6XdcGvW/Oi9rs9nrbzdQuGYHdvU3dvFtLbMKv/71dmb/+zsAtvzx1PqvKyIirUo5tOEcKi1LhauIdBp5JR4GVT41dCW0bTBtYcAJDZ7iqHji2tPYx/O+2xpe+sZooHCNTgKgt5EZ2NXP2EV5ubfGqd/uyGswPhERaRvKoQ3nUGlZIU/OdPHFF/PRRx+FIxYRkRaVX1weGJ+DuxMm3UYwXHFNfEMDaSQ2DYADjJ2BXdFGOe6S3TVOddo1X6CISKRSDpW2FvKnhIKCAiZMmMCBBx7IAw88wI4dO8IRl4hI2BUW5hFlVIyt7GzdnBrLEdu08xvqKlxRuPavVrgCOMv21WzabtTYJyIikUE5VNpayIXrokWL2LFjB9deey2vv/46ffv2ZdKkSbzxxht4PJ5wxCgiEhZlhdYEQX7sgbGXsh9nIwrX4dOqXjfUVTiuKwB2wwza/dOOLPJKgnOEo9oTV9MMPl9ERNqWcqi0tbD0y0pNTWXmzJmsWbOGlStXMmDAAC688EK6d+/ODTfcwE8//RSOZkREQlJWlGv9GxVnzQYoNTUwM2Kp6YApc6t22BrXVXh/+YWFnP7kJ0H7qheupZ6asw6LiEjbUQ6VthbWAUW7du3ivffe47333sNut3PKKafw3XffMXjwYP785z+HsykRkSbzFecC4HFoqZU6Vf8wMub6Godt7v1+dg1OzlT7Wn//cD7IiJzg2YqjbFVtF5bVnLxJRETajnKotLWQC1ePx8OiRYuYPHkyffr04fXXX+eGG25g165dPP/887z33nu8+OKL3HPPPeGIV0Sk2fwl1qy1PqcmlWiUuPQau5wxFT+7jMOsf4f8pv5rpB1U56FHnfOCtj2+qqesRSpcRUQiinKotLWQl8Pp1q0bfr+f888/n5UrVzJs2LAa50ycOJGkpKRQmxIRCYlRZiVdszNO498UIy+HTcvg8Avx+7zYlt1VdcxZMevwRf+BLZ/AQZPqv5YrnoLj7yF+xewGmy2rVrjqiauISGRRDpW2FnLhOnPmTG688UZiYoIHaZumybZt2+jduzfJycls3rw51KZEREJilBVY/2o2xPqd+iiYJhgGtqOvA2cMvHuzdaxy8qaYFBh8eqMuZyT1qfNYUZmXq//xNccM6EK5V4WriEikUg6VthZyV+G7776bwsLCGvuzs7Pp169fqJcXEQmbqPJ8AOwxSroNqhzrarPDwIlV+22OJl8qOr5qnKt3vy5m73+/h49/2seD7/7A6q25gf2lHl+T2xERkZajHCptLeTCta4lCwoLC3G73aFeXkQkLPx+E4fXuskWFZPUtsG0N0m9q17v+7HJb7dX+3l7Y7oGHfthV37g9fc7q15rVmERkcihHCqRoNldhWfNmgWAYRjMnj07qKuwz+fjyy+/rHW8a0cwd+5c5s6di8+nJwIi7UVBmZd4igFwxia1bTDtTfWZhosym/7+auOhfLHpkLspsP3LrqzA6/JqY1zLvPr72lEph4q0P8qhEgmaXbiuWbMGsJ64fvvttzidzsAxp9PJ0KFDuemmm0KPMALNmDGDGTNmkJ+fT2KiukuItAd5xR4SDCvp6m5xM5z+JPznWphwf9Pf66q2dEJMatCh7XsygZprx6qrcMelHCrS/iiHSiRoduG6fPlyAC655BL+8pe/kJCgGcZEJHLllXgCd4vRxBJNN3waHDgB4ro2fO7+YlKh77Fg+jETewcdys/PBWouu6OuwiIikUM5VCJByLMKP/fcc+GIQ0SkRRWUVd0tRlP5N51hQHzNArPR753+NgD2pcFPbOMorfUt6iosIhI5lEMlEjSrcJ01axb33nsvsbGxgbGudXnssceaFZiISDiVlPtI1d3itlMxTtbuDJ60L5YSbPhJpoAsqv676ImriEjkUA6VSNCswnXNmjV4PJ7A67oY1Sf0EBFpQyUeX9XdYrfuFrcVuzM6aDvOKOXpqD9zkv1rJpU9yPemtearxriKiEQO5VCJBM0qXCvHt+7/WkQkUpWU+zQ+JwLsX7i68HCS/WsApto/4l7vhYCeuIqIRBLlUIkEIa/jWlJSQnFxcWD7119/5fHHH+e9994L9dIiImFTWlZGnFExntKlpNtmooK7CqcZuYHXW8x0BhjbiaaUUo1xFRGJGMqhEglCLlynTJnCCy+8AEBubi5HHnkkjz76KFOmTOFvf/tbyAGKiISDryS/akPdnNqOOylo8zBjc+D1EbYfed91C28676JMT1xFRCKGcqhEgpAL19WrV3PssccC8MYbb5CRkcGvv/7KCy+8wF//+teQAxQRCQd/aR4A5TY32B1tHE0ntt86rt2MrMDrM+yfATDIto1Sr4/N+4r4flc+IiLStpRDJRKEXLgWFxcTH28tLv/ee+9x1llnYbPZOOqoo/j1119DDlBEJCxKrKRbZo9r40A6uZiUoM3qXYWrKy33Me5PK5j0l4/JLKh9yRwREWklyqESAUIuXAcMGMBbb73Ftm3bWLJkCRMmTAAgMzOThAR1JRCRCFFWAEB5lJJum9rviWvXOgrXzIKywOs1W2s/R0REWolyqESAkAvX2bNnc9NNN9G3b19GjRrF6NGjAevp6/Dhw0MOUEQkHMzyIgB8UTFtHEknt99slKlGQa2nbajWRfjnvYUtGpKIiNRPOVQiQbOWw6lu6tSpHHPMMezatYuhQ4cG9p9wwgmceeaZoV5eRCQ8PFbxo6Tbxmz2Rp3m85uB1ztySloqGhERaQzlUIkAIReuABkZGWRkZATtO/LII8NxaRGRsLCVW8t2mY7YNo5EGscEDAByiz1tG4qISCenHCqRICyF67Jly1i2bBmZmZn4/cFLGCxYsCAcTYiIhMTwVCZd3S1uc1d+iP+1C7Hlba3zFBceynACkFNc3lqRiYhILZRDJRKEPMZ1zpw5TJgwgWXLlrFv3z5ycnKCvkREIkGU10q6OHW3uM11Hwajrqr3lGiqJmfSE1cRkbalHCqRIOQnrvPmzWPhwoVceOGF4YhHRKRFRPmspGu4NCNiJLA53PUej6ac3IrXuRVPXL0+P1/8ks0RfZKJdjZurKyIiIROOVQiQchPXMvLyxkzZkw4YhERaTFRPmuCH8OppBsRohooXI2qJ645FU9cH136I9Pmf8k9ize0aGgiIhJMOVQiQciF6+WXX87LL78cjlhEpBPYlFnAb57+nGc//qVV23VU3C22udTNKSI0VLhSNa61xOOjzOvjbyt+BuCVlXWPjRUR6ciUQ6UzC7mrcGlpKX//+995//33GTJkCA6HI+j4Y489FmoTItJBfP1rDpc9v4rcYg+78kq4/Nj+rda2y18CBkS5dbc4IjRQuLoInpCpoNQbeN013tUiIYmIRDLlUOnsQi5c161bx7BhwwBYv3590DHDMEK9vIh0EF/+ksX051ZS6rFmHs8ubL2ZYk3TxGmWWkk3Or7V2pV6OKLrPRxtlFkr4lSoXrjGu8MyIb6ISLuhHCoShsJ1+fLl4YhDRDq4Zz/ZTKnHz5i+8Ryx7Xm+9g6kpPykVplkx+MziaEUAIfuFkcGV0K9h6NrPHGtmlnYppuiItLJKIeKhGkdVxGRhmQVWpPt3Jn+GQfvfoOf/D3YV3gdvVJafk24Eo8vkHSdMbpbHBFc9f93qL4cDgQ/cVXdKiKdjXKoSBgmZwL4+OOPmTZtGqNHj2bHjh0AvPjii3zyySfhuLyIdAB5JR6iKeWAjX8HoLeRSVZhaau0XVLuI7Yi6Ua5lXQjQgOFq9sIfuKaVVS1baDKVUQ6F+VQkTAUrosWLWLixIlER0ezZs0aysqsO0IFBQU88MADIQcoIh1DXomX6fb3cJZmAeAyPBTs29kqbZd4fFXLqzhb/u60NEITn7juK6ja1hNXEelslENFwlC43nfffcybN49nnnkmaEbhMWPGsHr16lAvLyIdgGma+EvyuDrq7aD9ZVmts6xJcbk3cLcYrUEXGRr47+CuGONqYE1Esq+wrL7TRUQ6LOVQEUvIhevGjRs57rjjauxPSEggNzc31MuLSAdQ6vFzAe+SZBThSz2QLdGHAODL+bWV2vcRU/kEz6k16CKCrf70E005/3Dcz7Lo3+OmjLXbcgPHPD5/CwcnIhI5lENFLCEXrt26dWPTpk019n/yySf0799660uJSOTKK/Ew2rYBANvoGRTF9LBe529vlfZLS0pxGD5rw6FuTu1BglHMMfbv6G9uY4r9Mz77OStwzOMz63mniEjHohwqYgm5cL3qqquYOXMmX375JYZhsHPnTl566SVuuukmrrnmmnDEKCLtXF6JhwwjGwAj9QA8cVbSdRW1zvicspL8qg3dLW4XUoyq/2bH2tYFHSv36omriHQeyqEilpCXw7nlllvIy8tj3LhxlJaWctxxx+Fyubjpppu49tprwxGjiLRzeSUeBhs51kZ8d8zEXgDEluxqlfa9JQUAlOPAaXc0cLa0GlcilOXBsGmw9h9Bh7qQF3h9nG0dBn7Minut6iosIp2JcqiIJSzruN5///384Q9/YMOGDfj9fgYPHkxcnAZvi4ilMD+HOKNiYoeEbkSl9AEgqXx3q7TvKy0EoMwWjbNVWpRG+b9/wqZlcOyNNQvXak9cE4wS3JRTghuAchWuItKJKIeKWELqKuz3+1mwYAGTJ0/myCOP5JJLLuG+++7jX//6F6bZPsYgnXnmmSQnJzN16tS2DkWkw/LkbAOgyIgDZyzu1N4ApPkzW6V9b0XS9diiW6U9aaTeR8H4P4DDXeNQ9a7CUDXLMEBBqZeH//dDi4cnDVMOFWl5yqEilmYXrqZpcvrpp3P55ZezY8cODjvsMA455BB+/fVXLr74Ys4888xwxtlirr/+el544YW2DkOkQ/PnWeNw8hxdAEjsdgAACRThL8mr832hqH7zzFdmJd1yu5Jue5G2X+HqwhO0/dSKn1szHKmDcqhIy1MOFbE0u3BduHAhH330EcuWLWPNmjW88sorvPrqq3zzzTe8//77fPDBB+0imY0bN474+Pi2DkOkQzMKrHE4Rc6uACQlJZNjWsMJCvZsCXt7X23JZsic93hlZcUad2VFAHjtmg0xYtmCx03ZCO4O7DbKkcijHCrS8pRDRSzNLlxfeeUVbr/9dsaNG1fj2Pjx47ntttt46aWXQgruo48+4rTTTqN79+4YhsFbb71V45ynnnqKfv364Xa7OeKII/j4449DalNEws9RZI3DKYm2kq4zysZuIw2AoszNYW9v+cZMCkq9vPed1a6/vCLpRuluccSK61rvYTceXJQHTdq0v3Kvnw9/3EtRmTfc0bVLyqEiHYNyqIil2YXrunXrOPnkk+s8PmnSJL755pvmXh6AoqIihg4dypNPPlnr8ddee43f/e53/OEPf2DNmjUce+yxTJo0ia1btwbOOeKIIzj00ENrfO3c2TpTiIsIuEv2AOCJyQjsy4qyEnDZvi1hb29bdgkA23Osf42KpOuL0t3iiNXlwHoPuyhnWcztfOX+LelYy0JUdmVbszWHkx//iHP//jnTF6xk5qtrWjzc9kA5VKRjUA4VsTR7VuHs7GzS09PrPJ6enk5OTk5zLw9Yxe+kSZPqPP7YY49x2WWXcfnllwPw+OOPs2TJEv72t7/x4IMPAvD111+HFEN1ZWVllJWVBbbz8/PrOVtEKsWUWRNI+OO6BfblOzPAC77c8C+gvjW7GIAduSWYponhsZKuP0rrz0Wsw86BX1aALQr8NZ+YuvHQ028VS8fZ1/G673g8PhNnlMEtb6zjp8zCwLnvf986E5ZEOuVQkY5BOVTE0uwnrj6fj6iouuteu92O19ty3bXKy8v5+uuvmTBhQtD+CRMm8Nlnn7VImw8++CCJiYmBr169erVIOyIdTYJnLwBGYvfAvuJo67U9f1vY29tWkXSLy33kFHswPNY2Dt0tjljD/g+mzIWrP631cPUxrpUzDHv9WhanuZRDRdoP5VARS7OfuJqmycUXX4zL5ar1ePW7qi1h3759+Hy+Gk9909PT2b278etaTZw4kdWrV1NUVETPnj158803GTlyZK3n/v73v2fWrFmB7fz8fCVekUZI9u0DwJHUI7DPE98dssBVtCOsbRWVeckqqipyduSUYPdaSdd06m5xxDIMGD7Nen31pzDv6KDD907oDius15WF672Lv+fSo/vSt0ts0BNXaZhyqEj7oRwqYml24Tp9+vQGz7nooouae/lGMwwjaNs0zRr76rNkyZJGn+tyueos1EWkDj4PSaY1oY4zpWdgt5lgfWCNLQ3vAurbcoqDtrfnFAeSruGMC2tb0kJqGe/a210SeB1dUbi+snIrr6zcyrBeSTXOb2ou6KyUQ0UinHKoSECzC9fnnnsunHE0WZcuXbDb7TXuDGdmZtY79lZEWlnBbmyYlJt24pKr/t90pPYBIN6zD7zlEOUMS3Nbs4KT7o7cEvr6rH02l7o5tQtRtRQ3RfsCL1OMgqBDa7fl1ji9cvyr1E45VKSdUA4VCWj2GNe25nQ6OeKII1i6dGnQ/qVLlzJmzJg2ikpE9leWY00ckUkyibFVBUlccgalpgMbJuSHr6vTtpwSDjK28q7zVibaVrI9pwSHr2JmRJfuFrcb4+6AwVPgoFOt7b0/BA4l2YrreFMVj0/jX+ujHCrSPiiHilSJ6MK1sLCQtWvXsnbtWgA2b97M2rVrA1P1z5o1i2effZYFCxbw/fffc8MNN7B161auvvrqNoxaRKorzbKS7m4zhThnVSeP1Hg3e8xka6MwfLPAbssu5uqotznYto0bohaxPacEp99KulHu+LC1Iy1s7M3wmxegckzVD4sDh9yGp8G3q3BVDhXpCJRDRao0u6twa/jqq68YN25cYLtyUofp06ezcOFCzj33XLKysrjnnnvYtWsXhx56KO+88w59+vRp0bjmzp3L3Llz8fl8LdqOSEdQnm0l3SxbKjZbVdfN1Dgn+VR0OyoL37IYu/dlc7PtKwAG2bZh2/cDroqka3frbnG746r5QcllNDxjfbkKV+VQkQ5AOVSkSkQXrscff3xggfm6XHPNNVxzzTWtFJFlxowZzJgxg/z8fBITE1u1bZH2xpdndWHKi0oL2t8l1sV603qa5inKwRGm9nrs/YhYo2pW80NzP8BhlIANEhL0/2u7k9Kvxq7GPXGtP3d0BsqhIu2fcqhIlYjuKiwiHUDBLgAKncFJNyE6ikLDultclJcVlqZM0+SoouUAlCX2B2CS8QWxlAIQn5AUlnakFaUcUGOXm0YUrl49cRWRDkA5VCQg5ML14osv5qOPPgpHLCLSAdmLrFlLS6K7Bu03DIPyKKsbaElhTlja2rc3k+OMNVa7Z86lnCgOtO2gt1Ex/kdr0LU/qTULV5fGuIpIJ6EcKlIl5MK1oKCACRMmcOCBB/LAAw+wY0d4F0IWkfbNVbwHgLLojBrHfE4r6ZYVZIelrZxNX+IyvGw3MojqO4ZVzlEARBkVRUxMaljakVaU0KPGLlcjnrhqjKuIdATKoSJVQi5cFy1axI4dO7j22mt5/fXX6du3L5MmTeKNN97A42n4w4WIdGCmSUyZdafWF9et5nG3NV7GU5QbluZK8/YCkBNl3Zle1v9W7vRczDd9L4XTn4TEnvW9XSJRLcsvOBtRuH62KYsNO8M3YYmISKtTDhUJEpbJmVJTU5k5cyYzZ85kzZo1LFiwgAsvvJC4uDimTZvGNddcw4EHHhiOpkSkPSnJIcpvTfJgJNRMuvboJMgFf0leWJrzFlnjfEodVjK/9rTRrB4yiCEHdwXDqO+t0o7UVbh2iXOxr9D6fbv/ne8BuGpsf247eRCG/vuLSHujHCoSJKyTM+3atYv33nuP9957D7vdzimnnMJ3333H4MGD+fOf/xzOptrU3LlzGTx4MCNHjmzrUEQiW8WkEllmPHGxNcfGOGKTADDKwpN0/RVJ1+O0rpsS6+TEwekqWjoYp1le6/4/nTOEgenBT2if/vAXvvo1POO/JDyUQ0UaSTlUJEjIhavH42HRokVMnjyZPn368Prrr3PDDTewa9cunn/+ed577z1efPFF7rnnnnDEGxFmzJjBhg0bWLVqVVuHIhLZivYBkGUmkBhdc7J+d3wKALbygrA0Z5TkAuBzJYXlehIhLv5v0GaymctAY1uN05x2Gw57zbT2a1Zxi4UmTaccKtJIyqEiQULuKtytWzf8fj/nn38+K1euZNiwYTXOmThxIklJSaE2JSLtTYn1pCuXuFqTbmyClXRd3vAkXXuZ1Z4ZnRyW60mE6HsM3J0HOb/CX4YA8K7zNg4oe4mRfZNZtcX67x5VR+GaXVRWY5+ISMRTDhUJEnLh+uc//5lzzjkHt9td5znJycls3rw51KZEpL0psWY6zDVrT7oJSdYMhW5fYViaiyrPBcCITgnL9STCOGICL+2GCUBavCuwL8pu4Ky1cNVEgSLSDimHigQJuavwhRdeWG/RKiKdWOXd4jqSblJKFwBizWJM0wy5ObfHGucTFacp+zukKFeNXfGuqt8rh82GI6rmWCyfX0vjiEg7pBwqEiTkJ66zZs2qdb9hGLjdbgYMGMCUKVNISdHdG5EOY/0isLvg4Mn1n1ds3S3OqaObU3JKGgAxRhnZBUWkJNRc+qQpYrzW8ifOBCXdDqnaE9dKqY6qbsAOO/TxbeVzovFXuy9b7lXhKiLtkHKoSJCQC9c1a9awevVqfD4fBx10EKZp8tNPP2G32xk0aBBPPfUUN954I5988gmDBw8OR8wi0pZKcmDRFWD64frVkNK/zlN9xdnYgTwzjoRakq4zJjHwOitrb8hJN9ZvJV13QlpI15EIZY+Cs+fDossAuNz+X25Z8xI7bNfwb/8xdP1uPg/smsPgqBO4w3tZ4G2lHhWuItL+KIeKBAu5q/CUKVM48cQT2blzJ19//TWrV69mx44dnHTSSZx//vns2LGD4447jhtuuCEc8UYETeUvnVphJpg+wISVz9Z7qrewYnwOccS7arlPZo+iiGgAsrP3hRaX30c8RQDEJinpdlgHjA+8vMPxEgB/cT4FQPIXDwEwLWpZ0FvKvL5WCk4aQzlUpHGUQ0WChVy4PvLII9x7770kJCQE9iUkJHD33Xfz8MMPExMTw+zZs/n6669DbSpiaCp/6dSKs6per/kHlNU9KYS/optTmSMRm632deBK7dbadAU5oSVdX3EuNqwxPvFKuh2Xre6OQoZRe0orU1fhiKIcKtI4yqEiwUIuXPPy8sjMzKyxf+/eveTnW10OkpKSKC+vfcF4EWlniqolx7I8WPdq3edWTCzhc9c9tX55VLx12fyckMIqzLX+DhWY0STE1RwLKR1EHYXrdeMHgGGv9di763fj84c+cYmISKtSDhUJEpauwpdeeilvvvkm27dvZ8eOHbz55ptcdtllnHHGGQCsXLmSgQMHhtqUiESCyieulUXCl09DHbMZ2iqSrq2eNeG8Tqu3RmlBdkhhFeXuBSCPuFrX8pQOoo7C9cYJB4FR+xMJgLfW7GipiEREWoRyqEiwkH8zn376aU444QTOO+88+vTpQ+/evTnvvPM44YQTmDdvHgCDBg3i2WfrHwsnIu1EZeF68GRwxsO+H+GX5TXPM83AmnBR8V3qvp7LSrqeotDuFpfkWU+CC20JDZwp7Vo9XYXrK1w37ilogWBERELkLYeCPTX3K4eK1BBS4erxeDjttNO4+eabycrKCswwnJWVxd///ndiY61+98OGDWPYsGHhiFdE2pi/yCpc/7PViW/oBdbOL+bVPLG8ELvpBcBdz9T6tugkALzFeSHFVV5gJd1iu5Juh2azQR1jWevqKgxg26+oLfX4wrLuoYhIs/38AfxlKLw9s+Yx5VCRGkIqXB0OB+vXr8cwDOLi4hgyZAhDhw4lLi606bhFJHKV5lvjYNbnRLEoahJgwE9LYM+G4BMrujiVmQ4S4upOhFGxFdP5l4aWdL2FVkFd6khs4Exp9+p66lrPE9fq85r8tKeAoXPeY87bG+o8X0SkxSX2goJd8OO7yqEijRByV+GLLrqI+fPnhyMWEWkHfBXJLYd47v28nLKBk60Dnz4efGK1hdNT4111Xs8dlwKAvTw/pCdglbMvepxKuh2ereZ6hkDdT2KBcq8f0zT5NauIm95YR5nXz8LPtrRMfCIijdHlQBh8uvVaOVSkQfUMFmqc8vJynn32WZYuXcqIESMC3YMrPfbYY6E2ISIRxKzoKpxtxlNQ6uXv/ilcx9vw7Rsw7g+Q3Mc6seJuca4ZR2pc3Uk3JsFKujFmEQVlXhLcdRQlDWnE7IvSQdQ3zjXABKoes+aWeHhl5TZuf/PbFgtLRKTJjrkBNvy7IofeDsl9rf3KoSI1hPzEdf369Rx++OEkJCTw448/smbNmsDX2rVrwxBi5NHi6dKZ2Uutu7L+aGvMzWPfxZDf/VgwffDZE1UnllQtnN4l1lnn9RwxSQAkUExmflnocSnpdny2WsayfvpXKNob2DxneDoAR/a1PtTllXh49L2NrRKe1E85VMRS7vWzL2Ewvn7HV+TQJ6sOKoeK1BDyE9fly2uZTbSDmzFjBjNmzCA/P5/ERHWpkM7FUWbdle3TsxeTXd1YvG4XV205jlecH1O6aiEfpV3EhCOHBN0t7lfP3WLc1v9DCUYRmQWlDOjaiDHyeTvgrautNWUvfx+csTjKrfE9thgl3Q7PXssThaV3Bm0+csbBzDlzOB/8kMnKLdnklXi0xEOEUA4VsXy/K58pcz9ltO1oXnGuUA4VaYCyuIg0nrcMp68IgKj4VH5/ysFkJLj53D+Ytf4DcOOh7PNnAPAVVYzPMeNIjav7bnFl0o2nhL0FjbhbvPUL+PtY2PwRZG7gp6+W8tmmfbg8VtKNiqt79kXpIBrTVdhXTowziqRo63dv5eZsdueX1nqqaZr8ddlP/Hut1noVkdZT6vEBKIeKNFJYCtePP/6YadOmMXr0aHbssBL/iy++yCeffBKOy4tIpKiYvMFr2oiJT6FHUjSf/348G+45GePwCwHoVvAdAGUVU+vnEUdyTMNJN8Eoalw3p7euqegSao1ffPfdt5k2/0ucFevdOeLSmvGNSftS9+zBAb5yABKj6x/vVe7188Lnv/LY0h+Z+epavD5/OAIUEWnQqP6p/PLAKcqhIo0UcuG6aNEiJk6cSHR0NGvWrKGszPqfpqCggAceeCDkAEUkghRbiTSHOJLj3AAYhkGMM4qUPocCkOHdBoCnwJrEqcyRiN1WT6ERuFtczM68kvrb93kh+xfr9bE3AjCUH/GbEG8WAhCdqLvFHZ6vER/OfOWw6xvS931e72l/fPcH7vrPd4HtTXsLa5xT5vXxxtfb2VPHE1sRkeay2ZRDRRor5ML1vvvuY968eTzzzDM4HFV3tseMGcPq1atDvbyIRJLiiqVwzHhS9pssIqXPIQB0N/eSV1AY6ObkcyfVf02XtT5dPCXszC6q/9yiTMAEw05h/4kADLNtwomHeMNK2DFJulvc4XkbUbg+fhg8fRxd3zqX3saeOk9b8OnmoO1deTWL0yeWbeKm179h1APLyC/1NDlcEZGGKIeKNCzkwnXjxo0cd9xxNfYnJCSQm5sb6uVFJJJUFK7ZJNTouhSb3I0CYrAZJvt+/T4wI6LpTqn/mhV3i22GSVZOdv3nFuyy/o3P4B+bEykxnSQaxZwe9z0APtMgPqlLE78paXe8TXvyeV/UAmw0rgtwuddPZkEpf1qykR251ge5d77dFTh+xL1Lm9S2iEhjKIeKNCzkwrVbt25s2rSpxv5PPvmE/v37h3p5EYkkFWNcs2t54ophsCuqJwD5O3/AVpoLgD22gRkKHW78dmvGxLzcrPrPLbCenHljuvLMp1tZZ1p/Y2bbFgDwqf9QkmLcjf1upL2qGL9aq/huNXYdZ/+WW6Jea9SlP/pxL0fev4wnl2/izLmfAlDmrSp6PT6zabGKiDSGcqhIg0IuXK+66ipmzpzJl19+iWEY7Ny5k5deeombbrqJa665JhwxikiEMIsqxria8STXsq5cbnRvALyZPwYmenDGN3z31qjo6mQvyyevpJ6umBV3i38oiiWrqJzN7sEAJJRnAvCG+yzcDk2W3qmkDap6fcY8sNc+icnZ9g8bdbmXvtwaeJ1ZMUNnmddX5/len5+Xv9zKz7WMjRURaQrlUJH6hbyO6y233EJeXh7jxo2jtLSU4447DpfLxU033cS1114bjhhFJEJ4CvfhBLKJJ6WWWQ5LE/pDAThyNuH25gMQndCIpBudCMV7SaCI7TnFJEbXsbZjwW4A1uS4MQwYccxE+OBfVttdDuWm867CMBox46x0HJe8Cw/3s17HpNRZuIbyW1Hmqbub8aLV27n9zW/xlxWH0IKIiHKoSEPCclvl/vvvZ9++faxcuZIvvviCvXv3cu+994bj0hFp7ty5DB48mJEjR7Z1KCKtylMxPX+BLYFop73mCakHAJCWvyEwprBREz1UzopoFLM9p55ZEQutpJtpJnHxmL4MGH581SXG3kDvLrENtyUdh2EPTEwCgN9XT+HavC6+Pr8Z1FUYCFoy59sdec26bmemHCpSB+VQkXqF/MS1UkxMDCNGjAjX5SLajBkzmDFjBvn5+SQm1nFXS6QD8hdahavHWfuYm+jug2AddPP8CkCx6SI5Ib7hC1cUHwkUsy277idX/vxd2IA9JDPruAMg3g2jfmst0zP4jCZ9L9IBpPQDe7U0FuW0vmrR3MI1r8SDzwx+b5nXT5Tduu8b56p/nVipSTlUpHbKoSL1C0vhumzZMpYtW0ZmZiZ+f/Cd6QULFoSjCRGJBBWzCvvqmOUwpdfBANgqioQc4kiNczV83cAC6vXfLfbm7cIJZBkpdI2vuO6kPzYyeOkweh4J21fC6BnW9rg7YM+30H8cfPhwWJs6vJZZhMu8fmIrfv3i3WG7/ysinZxyqEj9Qs64c+bM4Z577mHEiBF069ZNfeNFOjB7aY71Irb2Bcq7p3Vhp5lCd8OafTjPjKNLXO1PwIK4rbvFiRSxob5uThXjc8y4dGz1LcguHdv//RN2rrEKVYCxN1cdq2eM62HGL/zF8SQPec9nib/53VSrT9bkitJEJiISHsqhIvULuXCdN28eCxcu5MILLwxHPCISqUwTZ7mVTG11FK7RTjvrbD3oblrn5Zqx9G7M3eLkvgAMsm3lvZw6ujn5vDhKrSe+UYndmxa7dCzRyXDA+NqP2Wvvumtg8hfHk/S37eZp55/pW/pys5uvPllTecV41zOGdeeJZl9RREQ5VKQhIReu5eXljBkzJhyxiEgkKy8iym+tn+mMr3uyiGxXbyj9FoB8I57Y2iZx2l/v0QCMtP3A9pxiTNOs2XujKBMDE49pJz4lvXnfg3R8dTxxBXAa3rA0cfyfVnDnZGsZicoi1qUlJEQkDJRDReoWcqa9/PLLefnl5t+5FpF2omJ8a5npIDau7glViuL7Bl6XOhIbN3yg++GYdidpRj5p5dtrX4euYv25vSTSPVkzH0odqs8yXI2BSbHZiCcXjXTv4g3cu3gDn/1sTVjmsDfiw6WISAOUQ0XqFvIT19LSUv7+97/z/vvvM2TIEByO4G5ajz32WKhNiEgkqChcs4knpZ4xN/6UAbDXeu1xJjXu2g43Ro8jYOvnFXeMS0jaf53Ygspp/JPpnhTd1Oils4iv+0lCCeErXCtty7bGk2msq4iEg3KoSN1CLlzXrVvHsGHDAFi/fn2olxORSFVsjbnJMeNJjq2nO2b6QbDReu13JTX++r1HW0nX2Mi27GIO7bHfU92CqvXnlHSlTnEZte42gFKqfm9POSyDd77dHXJz/oqlcpx2Fa4iEjrlUJG6hVy4Ll++PBxxiEikq3jimmXGk7L/ndxqkrsfQJkZhcvwQkzty+bUqs8Y+OQxRto2srS2WRErku4eM5nRSe4mhS6dSFy1J67OeCgvACDKBj1SUsH6Neas4T3DUrhmFpQB4IjSDJ0iEjrlUJG6NfsW8SmnnEJeXl5g+/777yc3NzewnZWVxeDBg0MKTkQiSEXhmkP9T1x7psaxxbSeetniap99uPY3jsTEoK9tD7mZW2scLs/dAVhJV3eLpU7ph1S9Hjwl8DLGGUXP7j0C23G+nLA2G6WlJUQkDJRDRerW7MJ1yZIllJWVBbYfeughsrOzA9ter5eNGzeGFp2IRAyzqGKMqxlPSj2Fa4+kaB7xnstr3uMp6HZM4xuITiInfiAAcXtW1ThcnmtNLFHkTCXGGXJnEemo0gfD8AshYwhkHFq13zTBUfVhrXfx92FtNkpdhUUkDJRDRerW7ExrVozrqWu7I5s7dy6DBw9m5MjmL2Av0t6UF1izReSY8STF1L5WJoDbYeeb2DHc6r2SpMTaZ3itS0m3IwHIyFtb45iZbyVdX2ztYxhFAqY8CVd/DFHVusP5PeD3BTa7R3u4eExfBnSNC0uTDrueuDaWcqhI3ZRDReqmW8TNMGPGDDZs2MCqVTXvaIl0VN5Ca9mPoqhEXFH1L/1xSHcr2R6Q1rSiwNnXWouub9nGGjfDoor3WP8mdmvSNaUTq76MhK/cKl4D2x7uPv0Q3p81NixN2dRVuNGUQ0XqpxwqUrtm9xUwDKPG2lKNWmtKRNolf6H1xNXjSm7w3D//Zhi/7CtiaK+kJrWR1Nvq2tmb3ewtKKNrQsUTM2850eXWUAR3Ss8mXVM6s2o5yfSDt2p4S1ARGwYOQ/eBRSQ8lENFatfswtU0TS6++GJcLmtdvNLSUq6++mpiY61FjauPfxWR9s8osZKe393wLIfJsU6OqGccbF0caf0BSDUKWLN7N10T+loHCq3ZEMvMKJK6qJuTNNL+N1PLi6pe+701Tr/06H7szi9p1mzDUeoqLCJhohwqUrtmF67Tp08P2p42bVqNcy666KLmXl5EIkxUacXka7FNmOWwqVzx5NqSSfLnkLP9RxjY19qfvxOA3WYK3ZNjWq596Vhs+6W40qqZ8PHVLFwP6Z7AyL7JzSpc7eoqLCJtTTlUOrhmF67PPfdcOOMQkUjm9+P0WB/6o2K7tGhTue6eJBXnULLnJ2CCtbMy6ZKiafyl8QZPgY8fg6yfrO2SakvgVHvi+uqVR7FqczZnDu/Bexv2NKsph2YVFpEIoBwqHZkyrYg0rDQXm2nNyOpISGvZpuJ7Wy+yfwns8+dZ68/tNlPolqiF06WRnLFw7SqIS7e2gwrXqjGuR/VP5boTDsRmM2jug9NONLG+iEQw5VDpyFS4ikjDCqyukzlmHInx4Vk+pE4p1hid6MJfA7tKs7cB1sLpaXGulm1fOhbDAFe89bp4X9X+WroKA9iaOcmgT5WriEQC5VDpwLQCcaTylsH3b8OO1eCMAVeC9eHLnQCuxGqv461jzjiw6T6EtJCKiR0yzSSSY5o+YURTRKcfCN9Dcun2wD5PjnW3uMDZlSh1yZSmctZys6WWyZmg+WNVO9Na5iISuZRDpSNT4RppsjfD1wthzT+Cnw40yKgqYgNFbUJwgdvnGDjo5JaKXDqywkwA9pqJpMQ6WrSp5J6DAOjm302px4fbYcfMs8bnlMdo/TlphsonrtXVsRxOc1d18/lVuIpI21MOlY5MhWsk8HnhpyXw1QLYtAyo+AAU3w0OPt1af7AsH8oKoDQfyvKqvc6veHJgVpyTX3c7nz0BZ8+Hw6a2xnclHUlFV+FMkunRwk9c47sPBCDDyOHnzH0c0COdqCKrfTNeSVeaoQlPXJvdVViFq4hEAOVQ6chUuLal/F2w+gVY/Tzk76jaf8B4GHEZDDwZ7A38JzJN8JZWFLEFNYvayte718EPi+E/10H6IdD14Jb93qRjqXjimmkmcWgz1pZrCiMmmQIjjnizkH3bNnJAtzSiy6yZXu1JPVq0bemgHLXMolnHGNfmdxVu1ttERMJKOVQ6MhWurc3vh80rrKerP7wDFTO1Ep0Cw6fBiEsCA+sbxTCsD2WOaIhPr6ddH7x4Jmz+EF67EK5cXnv3OZFa+At2Y8PqKtzSY1wBspw9iC/bSNGun6B4EHbTh880iE3t3uJtSwdUW+Fa2VX4u7cg9QDIOAxoflfhtARNeCIikUE5VDoqjdBuLcXZ8Olf4ckjrALy+7etorX3aDjrGZj1PUy4t2lFa1PY7FY34fju1pqG/75Wjwik0Xz5uwDYayaTFNOyY1wBimL7WO3u+znQG2EvSXRNauEZjaVjiqq2/EN8xQc3vxc2/g9enw7zjgkcNqiqXD+6eRyXHt2vUU0cM6Bl1zcWEWks5VDpqFS4tiTThK1fwL+uhEcHwdI7rXW1nPEw8gr47edw6f9gyG/A0QrrasWlwW+eB1sUbHgLvvhby7cpHYJZYHUzKnKm4GiFGQl9yVax4Mj/tWrhdDOZ9AStPyfNUL1wHTzF+verBfDKuTVONam6oZcY48AZVfvv+8e3jAu8jnHaMZr7qFZEJMyUQ6WjUlfhllCaD+teg6+eg8zvqvZnDIGRl8GhU8HVRne9eh0JEx+Ad2+xCunuw6HP6LaJRdoNW5E1xtUT3bVV2nOmHQA/Q2LxtmpJN5V+SrrSLNV6l7gT6z3T7696HWUz2FdYVuMch92gV0pMuIITEQkr5VDpqPTEtRnmzp3L4MGDGTlyZPCBXevg7ZnW09V3brKK1qhoGDYNrvgArvoIjri47YrWSkdeCYeebXWVe/3iwMQ7IrUqLybKUwCAL7aecdRhlNjDmhWxm3cb5TnWwum7zBTSNY5QmsOsVo3WNba/YuiEv9oQiii7wZnDrclMhvZKYsHFI+iVEs3LVxwV9NbE6JbvPt+R1JlDRSQslEOlo9IT12aYMWMGM2bMID8/n8TERFj3T/j+FdjxVdVJXQbCiEth6HkQndx2wdbGMOC0v8Lu9bBvI7xxKVz4VsMzGEvnVGh1Ey41Hbhjk1qlyfQBh1OMiwwjm9I1rwCQZaSoQJDm8fuqXtvrmFzMVw5RruDC1Wbj6AFdeH/WcfRMjsHtsDN+UNXNmz+ccjDPf76FBRePJOiprtSrRg4VkbBSDpWOSk9cw+G/s6yi1eaAQ86C6Ythxko46reRV7RWcsXBuf+w1jfc8jF8cG9bRySRqqJwzTSTSI5rnbu1tuhE3k84GwB3qdUjoCQmQ+MIpXnMaoWrzV77OZ4S69Rq9WflyjgDusbjdtR83xXH9eeTW8czMF0ztItI5FAOlY5KhWs4JPSEE2bDrA1wznPQ79jmr6nQmtIGwpQnrdefPg7fL27TcCRCVRauJJPSwmu4Vrdj8BXkmVXjCH0xGa3WtnQwQU9c63jiUFG4Vn/iqg95ItJeKYdKR6TCNRx++ykceyPEtc7ENWF1yJlw1Azr9Vu/hayf2zYeiTwVMwq31hqulQ7p34unvacFtg0tnC7NVX2Mq62OIRFPjoCFk+n/zaOtE5OISAtSDpWOSIVrGJT72/ld+ZPmQK+joCwfXrsQyovbOiKJJNW6CqfEtt74mGG9k1jon8gv/gy2+dNwJPdutbalg+kzpuq1rY7f4fJC2PIx/X54unViEhFpQcqh0hFpNp4wOPbhDzj+0D6MH9SV4w/qSlp8O5u1ze6AcxbC08daMyEvvgHOnNc+ujtLyyvcDcBeM4khrfjENcHtoEdaF07JfBAfdm5N1jhCaaYh54Fhg54jYdc3bR2NiEiLUw6VjkiFaxgUlfl4d/1u3l2/G8OAIT2TOGFQV8YP6soh3RPaxziphG4w9Tl44XRY9yr0HmXNiixSUDnGNalVx7gCDO+dxE+ZhQBaOF2az2azZngHyNzQ4OnTR/fhoIyEFg5KRKRlKYdKR6OuwmHw6pWjmHnCgRzWIxHThG+25fLY0h+Z/MQnHPXgMn7/r3Us3bCH4nJvW4dav37Hwgl3Wa/fvRV2fN228UhkqD6rcCsXrof3rpqVW0lXwqKursLVzMm/kwsOa2C97dJ8aymxje+GKTARkfBSDpWORk9cw+DQHkmMOTiBG04aSGZ+Kcs3ZrLs+0w+2bSPPfllvLJyG6+s3IYzysbo/qmccHBXxh3UlV4pMQ1fvLUdPRO2r4IfFsM/p8NVH0FMSltHJW3ILNyDgdVVOKUVuwoDDK+WdDOUdCUc6pqcqbqfP4D//R7Oqme864cPwfpF1tfdeeGLT0QkTJRDpaNR4RpmXRPcnDuyN+eO7E2px8eXm7NZ/kMmy37Yw7bsEj78cS8f/rgX+I6B6XGMH5TOCQd3ZXivJKLsEfAA3DDgjKfg7xsg+xdYdDn83+t1r30oHZvfB0V7AdhHEgmtvHj5gV3jOLBrHKVeH92SlHQlDOyNTHv5O+o/nrs19FhERFqQcqh0NCpcW5DbYWfswDTGDkzjrtMGsymzkA9+yGTZD5l8/WsOP+4p5Mc9hcz78GeSYhyMHZjG+EFdGTswjaRWfrIVHHgi/OZFePZE+HkZfPQIHH9b28UjbadoH4bpx2ca+KK7YLe17nhtm83gnZnH4vObOCLhxo60f4154goQmwamWfckddXXhhURiUDKodLRqHBtJYZhcGB6PAemx3PV2APILS7nwx/3svyHTFb8uJfcYg//XruTf6/did1mcETvZMYf3JWJh2TQr0ts6weccSic9ji8eRWs+CP0GAEHntj6cUjbqphROJsEEmPb5m6tw27DoQf+Ei6NGOMKWN2FH+4HZ8yDg06uedxU4SoikU85VDoSFa5tJCnGyZRhPZgyrAden58123L54IdMPvg+k417Cli5JZuVW7J5ZMlGnp52BCcOTm/9IIeeB9u+hK8WwL8uh6NmQPdh0G0YxKW1fjzS+gozgco1XNuwF4BIuDT2iWtprvXvK+fWPoZVT1xFRERalQrXCBBltzGybwoj+6Zw68mD2JZdzPKNmbz9zU5Wbcnh5je+4X+/O65tZoQ7+Y+wcy3sXA3L76van9CzqojtPtx6Hdul9eOTllVQtYZrclt2XxcJl8aOcW2IP8JniRcREelgVLhGoF4pMVw0ui/njuzFmXM/Y8OufG56/Ruev+RIbK08xpAoF1z0Fqx9GXashl1rYd9PkL/d+vphcdW5lcVs92HQbTj/396dx0dV3f8ff81M9hVCSAgS9jVsgbAIsgRENgUEccOyCC5UXKjVutfWr9XWSrX8WFqqAqUqiBa0Liwqm4AsAZQAAolgAklYEkggIevc3x+XBEISSEKSmWTez8djHrm598y5ZwbufPKZc+453NBdMxLXdpcthaMeV6kTyjtU+FouT1y3zoUv/69q6hUREZFSKXF1Yp5uNmbfG8lt/+87Nh0+zXubj/BA/5Y13xCvQLjx15d+zzkHyT9C0m4zkU3aA6mlJLM2T7jjHYgYXfNtlqpRmLhS82u4ilSL8g4VvpbLhwrnnIf8rKqpV0REREqlxNXJtQ7x58VbI3hxZSxvrDpIn1YN6Ng40LGN8vSH5jeZj0LZGZByMZlN2gPHd8KZo7Dy19CwnfmoAYZhkJqZS7CfZ42cr867bKhwEw0VlrqgOoYKH/qqauoUERGRMmlu7Frgvt5NuSUilNwCO49/uJsLuU44KYhXADTvB30fg/HvwqMx0Lw/5J6HZRPNHolqlpiWxbj5W+j5p69ZsftYtZ/PJVw2OZN6XKVOqKoe18tnFU7aXTV1ioiISJmUuNYCFouFv9zRhRB/T+JPZfLqF/sd3aRrs7nB+PfAPwxOH4TPHjXXRKwmq2JTuHX2JnYnnMUw4A+f7ef0+ZxqO5/LuLgcjnmPaxXdGyjiSJff43rnImg1+BpPKGsdV03OJCIiUpOUuNYSQb4ezLqrKwDvb0tgzb4UB7eoHPxC4M7FZg/HvhXw/fwqP0V2XgEvfxrL9P/EkJGdT2R4Pdo38if9Qh6vfXGgys/nUgyjqMf1FJpVWOqIy3tcA26A+z6BbhNhxF9LL28r4wsbLYcjIiJSo5S41iL92zTkwf4tAHjmkx85kZHt4BaVQ9PeMOw1c3vtS/DL1iqr+sjpTO6Yv4XFW38B4OEBLVk+vQ9/uaMLFgv8d/dxNsedrrLzuZzsdMgzJ5w5ZQRqVmGpGy6/x9XmAVYrjJkDvR8qvXxZQ4vV4yoiIlKjlLjWMk8Na0dEWABnsvJ4avkP2O3VN/y2yvR6CDqNN//QWz4Fzp247io/3XOc22ZvYl9SBkG+Hiy8vyfPjeyAu81K1/B6TO7THIAXVuwlO089I5VyZAMAR+2hXMBL97hK3XD5UGG3ckziVlbPqnpcRUREapQS10qYO3cuERER9OzZs8bPXbhEjpe7tWiJHKdnscDo2dCwg3nP5Mf3Q0Fepaq6kFvAMx//yBNL95CZW0CvFkF8+Xh/BrULKVbut0PbEhrgydHULOati6uKV1FnHUjO4OElO4k7ecUEWj99CcAaew/crBb8PTUJudQBVtul7fIkrgW5pe83lLhWliNjqIiI1F5KXCthxowZ7N+/nx07djjk/IVL5AC8seog+5LSHdKOCvHwhbv/Ax7+8Mtm+PoPFa7iyOlMxsz9jmU7E7FY4PGb2/DBA71pFOhVoqy/lzt/GNURgPkb4ksmZVLk1S/2s3rfCd5cffDSzoI8OLQKgLUFUdT39cBiKWOSGpHaxM0L2o2EltFQv0U5nmCU7F0tyIe0n6ujdS7B0TFURERqJyWutVStWCLnSsGt4fZ55vbWOeaETeW0PymDO/+xhUMnztPQ35P/TOvNk7e0xc1W9n/h4Z0acXP7EPIKDJ5fsRejGmc1rq1+Sc1kc1wqAN/8dIK0zIu9SwlbIfsseZ5BxBhtCdLETFJXWCxw74cw6VNzuzyuHCFy8Muqb5eIiIhclRLXWqpWLpEDEDEa+j5ubn/6KJw6ePXyQMwvadyzYCunz+cSERbAF4/346bWwdd8nsVi4Y9jOuLtbmP7kTSWx2ht1yst3ZFYtJ1XYPDZnuPmLz99AUByaDR2rNTXUjjiyq4cLpyb6Zh2iIiIuDAlrrWYsy+RU+akSDe/DM37Q+55WDYRcsoexvvd4dP86p3tZGTn06NZfT586EZC/EsODS5Lk/o+PHlLWwBe+/IAqVrbtUhegZ3lO81kvm+rBgB8vOuYuQzOxftb44IGAGhGYXFtV84gXJ57Y0VERKRKKXGt5ZxxiZzU8zlMW7SDiN+v4jfL9nD09BW9EzY3GP8e+IfB6YPw2aNmsnSF1ftSmLpoBxfyCujfJph/T+tFoHfFe/7uv6k5HcICOJuVx5++1Nquhb45cJLT53MI9vPk7bsjcbdZiD2ewZF92yA9Ady82e8dBaA1XMW1XTlUuLTEtc9jNdMWERERF6XEtQ64fImc337k2CVytsSdZsTfN/HNTyexG7Bi93Fu/tsGnv3kR46fvXCpoF8I3LnYXCNx3wr4fn6xev676xiPvL+L3AI7wzs24p3JPfDxqNystm42K6+N7WSu7brrOFvitbYrwIfbEwAYH9WEkAAvBrc3Z2ZO3LLcLNBqMKeyzY8I9biKS7NfOQv6FffG3vwyRD9TY80RERFxRUpc64DLl8j5Ls4xS+TkFdh5Y9VP3PfuNk6ey6F1iB/z7+vOoHYNKbAbLN2RyKC/ruflT2M5Wdgr3LQ3DP2Tub32JfjfTPjmFWI+eJkdn/yNEWzh+XZJzBmQj+eZeDiXAnmV61Hu1rQ+E29sBsCLK2Jdfm3XY2ey2Hj4FAD39AwHYHyU+TMk6RuzUPuRpGWZf7Crx1VcWsL3l7btdoj/tvhxm64PERGR6qaFGeuIwiVyXlwZyxurDtKnVQM6Ng6skXMnpmXx+NLd7E44C8C9vcL5/W0d8fawMaJzGDG/pDFrzSG2xKeyeOsvLN2RyKQ+zZg+sBUNej8Mx3ZA7McQsxCAKCCqcETwL8DCK05Yrxk06lz8ERh+zRlCnxrWjlWxKfx8OpN56+J4cmi7qnwbapWPdh7DMMx7W5sH+wIQ3a4hHX3SaW8/gmGxYmk7nDMx8YB6XMXFfTINmvWFgMbwSv2Sxy9fG1ZERESqhRLXOuS+3k3ZcOgUa/ef4PEPd/P5Y/3x9qjeP6g+/zGJ5/67l3PZ+fh7ufHncV24tUtYsTJRzYL44MEb2RJ/mllrDhHzyxn+tekI729LYOpNLXhw6N8JaBnN5phdHP7lOAGWLLo2tNDKvwBLdgZkp0NOOmRnAAac/cV8/PT5pZN4BUJoZ2jUCW7oAR1vB1vx+2EDvNz54+iO/Pr9XcxbH8+IzmF0CAuo1vfHGRmGwfKd5mzC9/RqWrTf3WZlSvM0+Bl+dmtNU68g0jLNe4LrK3EVV3fygHlffmmy0mq2LSIiIi5IiWsdUrhEzg+JG4uWyPnT2M7Vcq6s3Hxe+d/+ouVUoprV5+/3RNKkvk+Zz+nbKpg+0xuw/tApZq05SOzxDOasi2Px1qNEhrdlU3wQAC/e2oHW/VuWrMBuhwtpcGIfnIiFlL2QEgunfjKT21++Mx8Aez8y76H1KN6eEZ3DGNYxlNX7TvDsJz/y30duwmYt51qOdcShE+dJTs/Gy93K0IjQYscGhZyHn2FvdjB/eX8Xpy7OwlzfR8vhiIs7l2x+9pTGy/W+ABMREalpSlzrmMIlcia+u533tyUwsG1DhnZsVKXnOJCcwaMf7CL+VCYWC8yIbs3MIW1ws137lmmLxcKgdiFEt23Imv0n+NuaQxw8cY5Nh09jscDrYzsX6wUsxmoF32BoOdB8FMrPNWcnTtkLyT9CzCI4vAaW3A4TloF38aF9r4zpxJb4VH44ls7CzUd4oLQkuQ77/udUAHo2D8LLvXiPfHBuEgDHLI1Ys/9E0X7d4youYdw7sPp5yDxZ8tinM0ru8w2BTndA1P2QY6/+9omIiLgwTc5UB1XXEjmGYfDvrUcZM3cz8acyCfH35P1pvXlqWLtyJa2Xs1gsDOvYiK+e6M/se7sR3a4h8++LKjtpvRo3D/M+18gJMOLPMGmlOXQ4cRssHAkZycWKhwZ48cLIDgC8ueYgCalZFT9nLbY13kxcb2zZoOTBM+bEXsNuuhGfy4aZ6x5XcQld7oTb55W/fMto8zPH06/amiQiIiImJa51VFUvkXMmM5eHlsTw+0/3kZtv5+b2IayaOYC+rYOvq16r1cLoro1ZdH8vhneqop7hpjfC/V+BXyM4uR/eGwqp8cWK3N0znD4tG5CdZ+f5FXsxSllHti6y2w2+P3K1xPUoAG3ad2HJxXVz24b6FUtiReo076BL23ctuXpZTcokIiJSY5S41lHmEjndKrxEjt1ucOpcDj8eO8uq2BQWbT7C618eYOTsTazdfwIPm5WXR0XwzuQezt0LF9oRpq2BoJZwNgHeGwbJPxQdtlgsvD6uM55u5vuzPOaYAxtbc35KOcfZrDx8PGx0aXLFrNP5uZB+8X0IakFUsyC2PjeY/z3WD8s1ZmwWqTOaRMEtr8A9H0DEaLjj3asU1nUhIiJSU3SPax3WOsSPl26L4IUVl5bIaRzoTXJ6NsnpF0hKzyb57AWS07NJuvgzJT2b3ILS79VqGezL7Hu70emGmllm57rVbwZT18B/xkHKj7DoNrj3Q2jeD4Dmwb48eUtbXv/qJ179fD/R7RoS4u9VJaf+ev8J3v3uCNOjWzGwbcMqqbMqFN7f2qN5EO5XDu9OTwTDDu4+4GdO2uTjoY8IcUE3PXFpu+NYiPsafviwZDl9oSMiIlJj9FdpHTehV1PWHzSXyLl19nfleo7FAg39PAmr503jQC/CAr1pEezDuO5N8PWsZf9l/BrClC9g6QQ4ugmWjIPx70GH2wCY1q8Fn/+YzN7j6fzhs33Muy/quk/50c5Env3kR+wG5tI/k3vUfPKatBvW/xkixpj3/l609WLi2qe0YcJpF3vl6zfXH+Qihaw28xoqLXEVERGRGlPLshCpqMIlcvYd30RSujlJUwNfDxpdTEgb1yv+MyzQi9AALzzc6tAocq8AuO9j+GSaufbrRxNhwkfQ5hbcbFb+fEdnRs/ZzJd7U1gVm3Jd99r+a+PP/OlLc+3TG+p5c/zsBR76907em9KTm67zfuBysdthy98xvnkVi5GP/dAarIFNoMUACuwG2woT11ZlT8xE/RbV306R2sTNu4wD+oJHRESkpihxdQFBvh6s/s0AUs/n0ijQq8QSKC7B3ctc1/WzR82ek88ehxnfg1cgHRsH8vCAlsxbH8/vP42lT6sGBHpXbN1SwzB4Y/VB5q83J4F6aEBLfju0LTPe38XXB04ybfEOFt3fq/QJkapK+nFY8TAc3YQFOG404AZLKnnL7sf9ke84cM6HjOx8/Dzd6NS4lHUnC3tcg5S4ihTjXkbiqrxVRESkxtShbjW5Gn8vd5oH+7pm0lrI5ga3vWVO2HQuCb7+Q9Ghx29uQ8tgX06ey+GP/9tXoWoL7AbPr9hblLQ+M7w9z4/sgKebjbn3dWdg24Zk59mZumgHO4+mVeUruuT8SfjnADi6iQsWL57Oe4hbct/kgD0c9+zTGB/fz7Y4c13Wns3rl7580ZnLhgqLyCVlJa4iIiJSY5S4imtx94ZRs83tne/B0c0AeLnb+PMdXbBa4L+7jrN0e0K5qsvNt/P4h7v5cHsiVgu8Pq4zv45uVXTc083GPydG0a91MFm5BUxZuIPdCWeq/GVx4DPIOs0pjxsYkf0nVrsPYcn0aJ6xPsU5wxtLwlYax7wJlDFMGNTjKlIWd58yDqjLVUREpKYocRXX06I/RE0xtz97DPIuANCrRRC/HdoOgN9/to+9x9KvWo1hGDz7yY98sTcZD5uVORO6c2+vpiXKebnb+NekHtzYMojzOfk8tCSGvDJmbi4vwzD4/udUVu9LYf3Bk6T98CUACzP7kUAYcyZ0J6pZEBNGDuZ3eQ8BMCJjGQOsP9CnZSn32hpG0RquusdV5Aq+ZdyfrknMREREaowSV3FNt7wC/mGQFg8b/lK0+9cDWzGkQwi5+Xam/yeGM5m5ZVbx1tpD/Hf3cWxWC/+cGMXIzmFllvX2sPHelJ409Pfk1LkcNh46dV3N/y7uNPcs+J6Hl8Tw0MIteCaaM0ZvsHflhVsjGHBxFuO7eoRzKnw4S/KHAPCIx5dElHZ/67kUyL8AFhvUK5l8i7g0W8XueRcREZGqp8RVXJNXINw6y9zePBuSfwDAarUw665ImjXw4fjZC8xctocCu1Hi6ct2JDD72zgAXhvbiUHtQ655Sh8PN0Z3bQzAit3Hr6v5heuxhvh7ckfwMXwtOaRSnyGDhjD1puZF5axWC6+O7cQ79tHYDQs3shfb2SMlKyy8vzWwif5IFymNX2mzjavHVUREpKYocRXX1f5WiLgdjAJzyHBBPgCB3u7Mvy8KL3crGw6dYvY3h4s9bcOhUzy/IhaAxwa35u6e5e+hHNvtBgDW7j/Buey8Sjc99niGef6b2/B6F3PSpQZdR/Cboe2wXDF8sX2jAMYN7st39k7mjl1LSlao+1tFru7hjSX3aaiwiIhIjVHiKq5t5F/Bq57Z47p1TtHuiMYBvDa2MwCzvz3MuoMnAdiXlM4j/4mhwG4wrtsNPHlL2wqdrmPjAFqH+JGTb2dVbEqlmmwYBrHHzftvOzUOgLhvzAOtby7zOU8MaUO3sTPNX/a8DwVXJM1aw1Xk6vxDS9mpxFVERKSmKHEV1+YXAsNeM7fXvw6p8UWHxnVvwq9ubIphwMyle9j2cypTF+0gM7eAPi0b8Oc7upTo3bwWi8VS1Ou6ck8Zw4UL8mHTLFj7e9i2AH76ApL2wIWzAKRkZJOamYvNaqGD7zk4uQ8sVmg1+Krn9u8yGnyC4fwJOLS6+EH1uIqIiIiIE1PiKhI5AVoOgvxs+OxxsF+a8felWzvQ9wY36mcn8MK/PuZERjZtQ/34x8QoPNwqd/kU3ue6JT6VlPTskgVWPwffvAKb/w5fPQ1LJ8CCgTCrPfz0ZdFsx21C/PD6Zb35nBuiwCfo6id28zBfK8CuxcWPqcdVpOI6jHJ0C0RERFyGm6MbIOJwFguMehvm9YFfvoN3bob8HMg6jWdWKh/Y88HTLPqmdSr33v8agd7XmMBo30rzvtnwXhB5H7QbCe5eAIQH+dCzeX12HD3DZz8c56EBl9Z9Zfu/YPsCczvyV5B9FjKOw9kEyEqF/z1OXMcPAOjYOBDivjbLth5SvtfafTJsmW0+L/2YORkTqMdVpKIe/Nb8wkhERERqhHpcRQDqN4fBL5nbSbvM4bfnT4DdnLDJbjOTzpkeK7nBu+DqdRXkwZqXICfDTBA/vh9mtYMvfgvHd4FhcPvF4cIrdiddel78t/DVM+b2zb+H2+fCPe/DQ+vhyZ+gYQfIPEW3febyPV3CfCB+vVm+vIlrcGto1g8MO+z+j7kvOx0upF16H0Tk2pS0ioiI1Cj1uIoUuvHXZg9kQa457NYnGHwagE8DrFY3mNsLt7R4s0e0/5Nl17N3OaQngG9Ds4fzh6WQcQx2vGM+Qjsxtstk/mprwIFk+Cklg/a2FPhoijnDcdd7od8V9bt5wJi58O4Q+mR+zSBrN3p7uEFOOngHQeNu5X+dUZPNnuWYReasyvkXhyv7NgRP/wq+aSIiIiIi1U+Jq0ghiwUiRpd9PPpZ+O+D5lDbng+AV0DJMvYC2PQ3c7vPo9BvJgx6Ho5sgN3vw4H/wYlYfNY+zVYPH5bn3cTOjedon/xnMwkNvxFG/b30ZTaaRJHZfTq+MfN4zf1dgk+eMfe3GgxWW/lfZ4fR4P8ynEuCf9wEzfqa+9XbKiIiIiJOSkOFRcqr0x0Q3BYunIFt/yy9zIHPIPWwucROz2nmPqvNTC7HvwtPHYRhr0OD1ngbWUxyW8uv9j9sTo5Ur6k5NNjNs8wm7GjxMEfsoYRZ0nCPecfcWd5hwoXcvWDaamg7whwKfeTi+pSamElEREREnJRLJ66JiYlER0cTERFBly5dWL58uaObJM7MajN7XQG2/r+i5WmKGAZsnGVu955e+rBb7/rQ5xF4dCe5E1awht7kG1by3f3h3mXgG3zVJvx4Io9n8h4qvvMay+CUql5TmLAU7vkQApua+8K6VrweEXFZiqEiIlKTXDpxdXNz4+2332b//v18/fXX/OY3vyEzM9PRzRJnFjHWnCQpOx2+n1/82OE1cGIvePhB74evXo/FgkfbwXzb+U165czjtdYfQGjENU8fezyd7UYH9t9wp7kjrCv4h1byxQDtR8KMbTDli2u3WUTkMoqhIiJSk1w6cQ0LCyMyMhKAkJAQgoKCSEtLc2yjxLlZrZd6Xb+fB1kX/78YBmx809zuMfXaa6pedHu3G0gjgOUHLpCbb79m+djj5hqumQP/AINfhFGzK/oKSvLwgeb9wHaNJX5ERC6jGCoiIjXJqRPXjRs3MmrUKBo3bozFYmHlypUlysybN48WLVrg5eVFVFQUmzZtqtS5du7cid1uJzw8/DpbLXVeh9EQ2slc7mbrXHPf0U1wbDvYPM1JmcqpV/Mg6vm4cy47n59SMq5aNvV8Dknp5gzA7ZuGwoCnoXFkZV+FiNRxiqEiIlKXOHXimpmZSdeuXZkzZ06px5ctW8bMmTN54YUX2L17N/3792fEiBEkJCQUlYmKiqJTp04lHklJl9bPTE1NZdKkSSxYsOCq7cnJySEjI6PYQ1yQ1QrRz5nb2/4BmamXelu7T6rQ0F2r1ULXJvUA2JN49qplY5PM/28tgn3x91LvqIhcnWKoiIjUJU69HM6IESMYMWJEmcf/9re/MW3aNB544AEA3n77bVavXs38+fN5/fXXAYiJibnqOXJychg7dizPPfccffv2vWrZ119/nT/+8Y8VfBVSJ7W/FRp1gZQfzSVyjmwAqxvc9ESFq4oMr8eGQ6fYk3iWSX3KLlc4TLjTDYGVbbWIuBDFUBERqUucusf1anJzc4mJiWHo0KHF9g8dOpQtW7aUqw7DMJgyZQqDBw9m4sSJ1yz/3HPPkZ6eXvRITEysVNulDrBYYNAL5nb8N+bPLvdAvYoPk4sMrwfAD9focd2XdDFxbVzK+rEiUv0adjB/VmYmbyejGCoiIrWNU/e4Xs3p06cpKCggNLT4sMzQ0FBSUlLKVcfmzZtZtmwZXbp0Kbr3Z8mSJXTu3LnU8p6ennh6lr3GpriYtsOgcXdI2gUWK/T7TaWq6dLE7EGNP5VJ+oU8Ar1LHwa892KPa2f1uIo4xsQV8ONS6DbJ0S25boqhIiJS29TaxLWQxWIp9rthGCX2laVfv37Y7deeyVWkVBYL3PIKLBkLkRMguHWlqmng50nTIB8S0rLYeyydfm1KruWanpVHYtoFADo2VuIq4hABYZX+gspZKYaKiEhtUWuHCgcHB2Oz2Up8M3zy5MkS3yCLVJsW/eF38XDbW9dVTdfC4cLHzpZ6PPbiMOGmQT4E+mhiJhG5PoqhIiJS29TaxNXDw4OoqCjWrl1bbP/atWuvOUGESJXyCgSr7bqq6HpxuHBZMwtfmphJ97eKyPVTDBURkdrGqYcKnz9/nri4uKLfjxw5wp49ewgKCqJp06Y8+eSTTJw4kR49etCnTx8WLFhAQkIC06dPr9Z2zZ07l7lz51JQUFCt5xHX0a1pPcBMXEsbqrcr4QygYcIiUn6KoSIiUpdYDMMwHN2Isqxfv55BgwaV2D958mQWLVoEmIunv/HGGyQnJ9OpUyfeeustBgwYUCPty8jIIDAwkPT0dAIC1BMmlZedV0DHl1dTYDfY8uxgGtfzLjqWlZtP9/9bS3aenc8f66flcESckDPGA8VQERGpDcobD5w6cXV2CrpSlW6dvYl9SRnMv687IzqHFe3/am8yv35/F03qe7Ppd4PKPXGKiNQcxYOK03smIiJQ/nhQa+9xFalrCtdzvfI+169izclTRnRqpKRVRERERFySElcRJ9G1lMQ1J7+Ab386CcDwTmGlPEtEREREpO5T4iriJAp7XPceT6fAbo7g/+7wac7n5BMa4Em3i8dFRERERFyNElcRJ9GqoR9+nm5k5RZw+OQ54NIw4eEdG2G1apiwiIiIiLgmJa6VMHfuXCIiIujZs6ejmyJ1iM1qofPFGYN/SDxLXoGdtftPABSbrElEpDZTDBURkcpQ4loJM2bMYP/+/ezYscPRTZE65tJ9rulsjU8l/UIewX4e9Gwe5NiGiYhUEcVQERGpDDdHN0BELim8z/WHyyZouiWiETYNExYRERERF6bEVcSJFCauB0+cIyUjGzCXwRERERERcWUaKiziRBoFehEa4EmB3SAtM5dAb3f6tGrg6GaJiIiIiDiUElcRJxN52bI3QzqE4m7TZSoiIiIirk1/EYs4ma6XJa4aJiwiIiIiosS1UjSVv1SnbuH1AfD1sNGvTbCDWyMiUrUUQ0VEpDIshmEYjm5EbZWRkUFgYCDp6ekEBAQ4ujlSRxiGwZxv42gfFsAtEaGObo6IlIPiQcXpPRMRESh/PNCswiJOxmKx8NjNbRzdDBERERERp6GhwiIiIiIiIuLUlLiKiIiIiIiIU1PiKiIiIiIiIk5NiauIiIiIiIg4NSWuIiIiIiIi4tSUuIqIiIiIiIhTU+JaCVo8XUREpHIUQ0VEpDIshmEYjm5EbaXF00VEBBQPKkPvmYiIQPnjgXpcRURERERExKkpcRURERERERGnpsRVREREREREnJoSVxEREREREXFqSlxFRERERETEqSlxFREREREREaemxFVEREREREScmpujG1CbFS6Bm5GR4eCWiIiIIxXGAS2NXn6KoSIiAuWPoUpcK2Hu3LnMnTuX3NxcAMLDwx3cIhERcQbnzp0jMDDQ0c1waoqhIiJSmmvFUIuhr4crzW6307ZtW2JiYrBYLBV+fs+ePdmxY0e1Pqe85a9WLiMjg/DwcBITEwkICCj3uWuryvy71MZ2VGX911NXdV8HVXENgGtdB85yDUDtuQ4MwyAqKopDhw5hteounPJQDK2bnOXzo7Z8dlxvXYqhzsdZrgGoPddBeWOoelyvg9VqxcPDo9LfrttstgpfvBV9TnnLl6dcQEBAnf+wgcr9u9TGdlRl/ddTV3VfB1V5DYBrXAfOcg1A7boOPDw8lLRWgGJo3eQsnx+16bNDMbRucZZrAGrXdVCeGKoIe51mzJhRo8+t6HPKW/56Xkdd4yzvRXW3oyrrd+brQNdAxTnTe+Eq14GrcubPjoqU17/9Jc7yXrjKZ4diqPNxpveirl0HGios15SRkUFgYCDp6elO8w2SSE3TdSAilaHPDhFdB1I11OMq1+Tp6cnLL7+Mp6eno5si4jC6DkSkMvTZIaLrQKqGelxFRERERETEqanHVURERERERJyaElcRERERERFxakpcRURERERExKkpcRURERERERGnpsRVREREREREnJoSV6lSiYmJREdHExERQZcuXVi+fLmjmyTiEGPHjqV+/fqMHz/e0U0RkVpCMVTEpBgqpdFyOFKlkpOTOXHiBJGRkZw8eZLu3btz8OBBfH19Hd00kRq1bt06zp8/z+LFi/n4448d3RwRqQUUQ0VMiqFSGvW4SpUKCwsjMjISgJCQEIKCgkhLS3Nso0QcYNCgQfj7+zu6GSJSiyiGipgUQ6U0SlxdzMaNGxk1ahSNGzfGYrGwcuXKEmXmzZtHixYt8PLyIioqik2bNlXqXDt37sRutxMeHn6drRapWjV5HYhI3aEYKqIYKo6jxNXFZGZm0rVrV+bMmVPq8WXLljFz5kxeeOEFdu/eTf/+/RkxYgQJCQlFZaKioujUqVOJR1JSUlGZ1NRUJk2axIIFC6r9NYlUVE1dByJStyiGiiiGigMZ4rIAY8WKFcX29erVy5g+fXqxfe3btzeeffbZctebnZ1t9O/f3/j3v/9dFc0UqVbVdR0YhmGsW7fOuOOOO663iSLihBRDRRRDpWapx1WK5ObmEhMTw9ChQ4vtHzp0KFu2bClXHYZhMGXKFAYPHszEiROro5ki1aoqrgMRcT2KoSKKoVK9lLhKkdOnT1NQUEBoaGix/aGhoaSkpJSrjs2bN7Ns2TJWrlxJZGQkkZGR7N27tzqaK1ItquI6ABg2bBh33nknX375JU2aNGHHjh1V3VQRcSKKoSKKoVK93BzdAHE+Foul2O+GYZTYV5Z+/fpht9uro1kiNep6rgOA1atXV3WTRKQWUAwVUQyV6qEeVykSHByMzWYr8Y3YyZMnS3xzJlJX6ToQkcrQZ4eIrgOpXkpcpYiHhwdRUVGsXbu22P61a9fSt29fB7VKpGbpOhCRytBnh4iuA6leGirsYs6fP09cXFzR70eOHGHPnj0EBQXRtGlTnnzySSZOnEiPHj3o06cPCxYsICEhgenTpzuw1SJVS9eBiFSGPjtEdB2IAzlySmOpeevWrTOAEo/JkycXlZk7d67RrFkzw8PDw+jevbuxYcMGxzVYpBroOhCRytBnh4iuA3Eci2EYRs2myiIiIiIiIiLlp3tcRURERERExKkpcRURERERERGnpsRVREREREREnJoSVxEREREREXFqSlxFRERERETEqSlxFREREREREaemxFVEREREREScmhJXERERERERcWpKXEXE6U2ZMgWLxYLFYmHlypVVWvf69euL6r799turtG4RERFHUwyVukKJq4gDXB5ELn/ExcU5umlOa/jw4SQnJzNixIiifWUF4SlTppQ7gPbt25fk5GTuuuuuKmqpiIhUJ8XQilMMlbrAzdENEHFVw4cPZ+HChcX2NWzYsES53NxcPDw8aqpZTsvT05NGjRpVeb0eHh40atQIb29vcnJyqrx+ERGpeoqhFaMYKnWBelxFHKQwiFz+sNlsREdH8+ijj/Lkk08SHBzMLbfcAsD+/fsZOXIkfn5+hIaGMnHiRE6fPl1UX2ZmJpMmTcLPz4+wsDBmzZpFdHQ0M2fOLCpT2rer9erVY9GiRUW/Hz9+nLvvvpv69evToEEDxowZw9GjR4uOF34T++abbxIWFkaDBg2YMWMGeXl5RWVycnL43e9+R3h4OJ6enrRp04Z3330XwzBo3bo1b775ZrE2xMbGYrVaiY+Pv/439gpHjx4t9Zv56OjoKj+XiIjUDMXQSxRDxVUocRVxQosXL8bNzY3Nmzfzz3/+k+TkZAYOHEhkZCQ7d+5k1apVnDhxotjQnKeffpp169axYsUK1qxZw/r164mJianQebOyshg0aBB+fn5s3LiR7777Dj8/P4YPH05ubm5RuXXr1hEfH8+6detYvHgxixYtKha4J02axNKlS5k9ezYHDhzgH//4B35+flgsFqZOnVriW/L33nuP/v3706pVq8q9YVcRHh5OcnJy0WP37t00aNCAAQMGVPm5RETE8RRDq45iqDgVQ0Rq3OTJkw2bzWb4+voWPcaPH28YhmEMHDjQiIyMLFb+pZdeMoYOHVpsX2JiogEYBw8eNM6dO2d4eHgYS5cuLTqemppqeHt7G0888UTRPsBYsWJFsXoCAwONhQsXGoZhGO+++67Rrl07w263Fx3PyckxvL29jdWrVxe1vVmzZkZ+fn5RmTvvvNO4++67DcMwjIMHDxqAsXbt2lJfe1JSkmGz2Yxt27YZhmEYubm5RsOGDY1FixZd9f0aM2ZMif2A4eXlVex99PX1Ndzc3Eotf+HCBaN3797GbbfdZhQUFJTrHCIi4lwUQxVDxTXpHlcRBxk0aBDz588v+t3X17dou0ePHsXKxsTEsG7dOvz8/ErUEx8fz4ULF8jNzaVPnz5F+4OCgmjXrl2F2hQTE0NcXBz+/v7F9mdnZxcbgtSxY0dsNlvR72FhYezduxeAPXv2YLPZGDhwYKnnCAsL49Zbb+W9996jV69efP7552RnZ3PnnXdWqK2F3nrrLYYMGVJs3zPPPENBQUGJstOmTePcuXOsXbsWq1UDTkREaivFUMVQcT1KXEUcxNfXl9atW5d57HJ2u51Ro0bxl7/8pUTZsLAwDh8+XK5zWiwWDMMotu/y+2rsdjtRUVG8//77JZ57+aQX7u7uJeq12+0AeHt7X7MdDzzwABMnTuStt95i4cKF3H333fj4+JTrNVypUaNGJd5Hf39/zp49W2zfq6++yqpVq9i+fXuJPypERKR2UQxVDBXXo8RVpBbo3r07n3zyCc2bN8fNreRl27p1a9zd3fn+++9p2rQpAGfOnOHQoUPFvrVt2LAhycnJRb8fPnyYrKysYudZtmwZISEhBAQEVKqtnTt3xm63s2HDhhLf4hYaOXIkvr6+zJ8/n6+++oqNGzdW6lzl9cknn/DKK6/w1VdfVcs9QCIi4rwUQ6+PYqg4C/Xzi9QCM2bMIC0tjXvvvZft27fz888/s2bNGqZOnUpBQQF+fn5MmzaNp59+mm+++YbY2FimTJlSYijP4MGDmTNnDrt27WLnzp1Mnz692De/9913H8HBwYwZM4ZNmzZx5MgRNmzYwBNPPMGxY8fK1dbmzZszefJkpk6dysqVKzly5Ajr16/no48+Kipjs9mYMmUKzz33HK1bty42PKuqxcbGMmnSJJ555hk6duxISkoKKSkppKWlVds5RUTEeSiGVp5iqDgTJa4itUDjxo3ZvHkzBQUFDBs2jE6dOvHEE08QGBhYFFj/+te/MmDAAEaPHs2QIUPo168fUVFRxeqZNWsW4eHhDBgwgAkTJvDUU08VG17k4+PDxo0badq0KePGjaNDhw5MnTqVCxcuVOjb4/nz5zN+/HgeeeQR2rdvz4MPPkhmZmaxMtOmTSM3N5epU6dexztzbTt37iQrK4tXX32VsLCwose4ceOq9bwiIuIcFEMrTzFUnInFuHKwvojUGdHR0URGRvL22287uiklbN68mejoaI4dO0ZoaOhVy06ZMoWzZ8+WWD+vKtXEOUREpPZQDC0/xVCpCepxFZEalZOTQ1xcHC+99BJ33XXXNQNuoc8//xw/Pz8+//zzKm3Ppk2b8PPzK3UyDREREWeiGCquTJMziUiN+vDDD5k2bRqRkZEsWbKkXM954403ePHFFwFzBsiq1KNHD/bs2QNQ6lIJIiIizkIxVFyZhgqLiIiIiIiIU9NQYREREREREXFqSlxFRERERETEqSlxFREREREREaemxFVEREREREScmhJXERERERERcWpKXEVERERERMSpKXEVERERERERp6bEVURERERERJyaElcRERERERFxav8f4DiQ0e/yYskAAAAASUVORK5CYII=",
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",
       "text/plain": [
        "<Figure size 1100x500 with 2 Axes>"
       ]
@@ -1094,11 +1148,11 @@
    ],
    "source": [
     "fig, ax = plt.subplots(1, 2, figsize=(11, 5))\n",
-    "ax[0].loglog(Szz_ast[\"freq\"], Szz_ast.mean(\"time\"), label=\"Altimeter AST\")\n",
-    "ax[0].loglog(Szz_le[\"freq\"], Szz_le.mean(\"time\"), label=\"Altimeter LE\")\n",
+    "ax[0].loglog(Szz_ast[\"freq\"], Szz_ast.median(\"time_psd\"), label=\"Altimeter AST\")\n",
+    "ax[0].loglog(Szz_le[\"freq\"], Szz_le.median(\"time_psd\"), label=\"Altimeter LE\")\n",
     "ax[0].set(xlabel=\"Frequency [Hz]\", ylabel=\"Energy Density [m$^2$/Hz]\", title =\"Full frequency range\", xlim=(5e-3, 0.5), ylim=(5e-3, 5))\n",
-    "ax[1].loglog(Szz_ast[\"freq\"].sel(freq=slc_freq), Szz_ast.sel(freq=slc_freq).mean(\"time\"), label=\"Altimeter AST\")\n",
-    "ax[1].loglog(Szz_le[\"freq\"].sel(freq=slc_freq), Szz_le.sel(freq=slc_freq).mean(\"time\"), label=\"Altimeter LE\")\n",
+    "ax[1].loglog(Szz_ast[\"freq\"].sel(freq=slc_freq), Szz_ast.sel(freq=slc_freq).median(\"time_psd\"), label=\"Altimeter AST\")\n",
+    "ax[1].loglog(Szz_le[\"freq\"].sel(freq=slc_freq), Szz_le.sel(freq=slc_freq).median(\"time_psd\"), label=\"Altimeter LE\")\n",
     "ax[1].set(xlabel=\"Frequency [Hz]\", title=\"Frequency limits of 1/22 to 1/3 Hz\", xlim=(5e-3, 0.5), ylim=(5e-3, 5))\n",
     "ax[1].legend()"
    ]
@@ -1156,23 +1210,15 @@
     "# Create averaged dataset\n",
     "ds_waves_avg = fft_tool.bin_average(ds_waves)\n",
     "# Convert wave parameters to xarray and add to averaged dataset\n",
-    "ds_waves_avg[\"wave_height_ast\"] = Hs_ast.to_xarray().astype(\"float32\")\n",
-    "ds_waves_avg[\"mean_period_ast\"] = Tm_ast.to_xarray().astype(\"float32\")\n",
-    "ds_waves_avg[\"peak_period_ast\"] = Tp_ast.to_xarray().astype(\"float32\")\n",
+    "ds_waves_avg[\"wave_height_ast\"] = Hs_ast.to_xarray()\n",
+    "ds_waves_avg[\"mean_period_ast\"] = Tm_ast.to_xarray()\n",
+    "ds_waves_avg[\"peak_period_ast\"] = Tp_ast.to_xarray()\n",
     "\n",
-    "ds_waves_avg[\"wave_height_le\"] = Hs_le.to_xarray().astype(\"float32\")\n",
-    "ds_waves_avg[\"mean_period_le\"] = Tm_le.to_xarray().astype(\"float32\")\n",
-    "ds_waves_avg[\"peak_period_le\"] = Tp_le.to_xarray().astype(\"float32\")\n"
+    "ds_waves_avg[\"wave_height_le\"] = Hs_le.to_xarray()\n",
+    "ds_waves_avg[\"mean_period_le\"] = Tm_le.to_xarray()\n",
+    "ds_waves_avg[\"peak_period_le\"] = Tp_le.to_xarray()\n"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "af09e51b",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "id": "f86c69d7",
@@ -1190,7 +1236,7 @@
     {
      "data": {
       "text/plain": [
-       "[Text(0, 0.5, 'Peak Period [s]'), Text(0.5, 0, 'Time')]"
+       "[(0.0, 15.0), Text(0, 0.5, 'Peak Period [s]'), Text(0.5, 0, 'Time')]"
       ]
      },
      "execution_count": 13,
@@ -1199,7 +1245,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x700 with 3 Axes>"
       ]
@@ -1211,48 +1257,48 @@
    "source": [
     "fig, ax = plt.subplots(3, 1, figsize=(10, 7), constrained_layout=True)\n",
     "ax[0].plot(\n",
-    "    ds_waves_avg[\"time\"],\n",
+    "    ds_waves_avg[\"time_psd\"],\n",
     "    ds_waves_avg[\"wave_height_ast\"],\n",
     "    \".-\",\n",
     "    label=\"Altimeter AST\",\n",
     ")\n",
     "ax[0].plot(\n",
-    "    ds_waves_avg[\"time\"],\n",
+    "    ds_waves_avg[\"time_psd\"],\n",
     "    ds_waves_avg[\"wave_height_le\"],\n",
     "    \".-\",\n",
     "    label=\"Altimeter LE\",\n",
     ")\n",
     "ax[0].legend()\n",
-    "ax[0].set(ylabel=\"Significant Wave Height [m]\")\n",
+    "ax[0].set(ylim=(0,5), ylabel=\"Significant Wave Height [m]\")\n",
     "\n",
     "ax[1].plot(\n",
-    "    ds_waves_avg[\"time\"],\n",
+    "    ds_waves_avg[\"time_psd\"],\n",
     "    ds_waves_avg[\"mean_period_ast\"],\n",
     "    \".-\",\n",
     "    label=\"Altimeter AST\",\n",
     ")\n",
     "ax[1].plot(\n",
-    "    ds_waves_avg[\"time\"],\n",
+    "    ds_waves_avg[\"time_psd\"],\n",
     "    ds_waves_avg[\"mean_period_le\"],\n",
     "    \".-\",\n",
     "    label=\"Altimeter LE\",\n",
     ")\n",
     "ax[1].legend()\n",
-    "ax[1].set(ylabel=\"Mean Period [s]\")\n",
+    "ax[1].set(ylim=(0, 15), ylabel=\"Mean Period [s]\")\n",
     "ax[2].plot(\n",
-    "    ds_waves_avg[\"time\"],\n",
+    "    ds_waves_avg[\"time_psd\"],\n",
     "    ds_waves_avg[\"peak_period_ast\"],\n",
     "    \".-\",\n",
     "    label=\"Altimeter AST\",\n",
     ")\n",
     "ax[2].plot(\n",
-    "    ds_waves_avg[\"time\"],\n",
+    "    ds_waves_avg[\"time_psd\"],\n",
     "    ds_waves_avg[\"peak_period_le\"],\n",
     "    \".-\",\n",
     "    label=\"Altimeter LE\",\n",
     ")\n",
     "ax[2].legend()\n",
-    "ax[2].set(ylabel=\"Peak Period [s]\", xlabel=\"Time\")\n"
+    "ax[2].set(ylim=(0, 15), ylabel=\"Peak Period [s]\", xlabel=\"Time\")\n"
    ]
   },
   {
@@ -1269,7 +1315,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 14,
    "id": "c477be85",
    "metadata": {},
    "outputs": [
@@ -1277,15 +1323,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Data is already in the earth coordinate system\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\mcve343\\MHKiT-Python\\mhkit\\dolfyn\\adp\\clean.py:90: UserWarning: The 'range_offset' is either already known or can be calculated from 'bin1_dist_m': 0.5 m. If you would like to override this value with 0.5 m, ignore this warning. If you do not want to override this value, you do not need to use this function.\n",
-      "  warnings.warn(\n"
+      "Data is already in the beam coordinate system\n",
+      "Data is already in the beam coordinate system\n"
      ]
     }
    ],
@@ -1318,9 +1357,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_5016\\212097317.py:10: MatplotlibDeprecationWarning: Getting the array from a PolyQuadMesh will return the full array in the future (uncompressed). To get this behavior now set the PolyQuadMesh with a 2D array .set_array(data2d).\n",
+      "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_13508\\212097317.py:10: MatplotlibDeprecationWarning: Getting the array from a PolyQuadMesh will return the full array in the future (uncompressed). To get this behavior now set the PolyQuadMesh with a 2D array .set_array(data2d).\n",
       "  fig.colorbar(h1, ax=ax[0], label=label, fraction=0.05, pad=0.02)\n",
-      "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_5016\\212097317.py:21: MatplotlibDeprecationWarning: Getting the array from a PolyQuadMesh will return the full array in the future (uncompressed). To get this behavior now set the PolyQuadMesh with a 2D array .set_array(data2d).\n",
+      "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_13508\\212097317.py:21: MatplotlibDeprecationWarning: Getting the array from a PolyQuadMesh will return the full array in the future (uncompressed). To get this behavior now set the PolyQuadMesh with a 2D array .set_array(data2d).\n",
       "  fig.colorbar(h2, ax=ax[1], label=label, fraction=0.05, pad=0.02)\n"
      ]
     },
@@ -1384,7 +1423,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "id": "317a1faa",
    "metadata": {},
    "outputs": [],
@@ -1393,7 +1432,7 @@
     "\n",
     "## \"SUV\" method - AST, u velocity, v velocity\n",
     "fft_tool = dolfyn.adv.api.ADVBinner(\n",
-    "    n_bin=window * ds_waves.fs, fs=ds_waves.fs, n_fft=ds_waves.fs * window // 2\n",
+    "    n_bin=n_duty_cycle * ds_waves.fs, fs=ds_waves.fs, n_fft=n_duty_cycle\n",
     ")\n",
     "# Create 2D tensor for spectral analysis\n",
     "disp = xr.DataArray(\n",
@@ -1406,15 +1445,20 @@
     "    ),\n",
     "    coords={\"dir\": [\"u\", \"v\", \"z\"], \"time\": ds_waves[\"time\"]},\n",
     ")\n",
+    "\n",
+    "# fill NaN values with mean to not affect statistics\n",
+    "disp = dolfyn.adv.clean.fill_nan_ensemble_mean(\n",
+    "    disp, disp.isnull(), int(ds_waves.fs), window=n_duty_cycle\n",
+    ")\n",
     "# Auto-spectra\n",
-    "psd = fft_tool.power_spectral_density(disp, freq_units=\"Hz\")\n",
+    "psd = fft_tool.power_spectral_density(disp, freq_units=\"Hz\", pct_overlap=pct_overlap)\n",
     "psd = psd.sel(freq=slc_freq)\n",
     "Sxx = psd.sel(S=\"Sxx\")\n",
     "Syy = psd.sel(S=\"Syy\")\n",
     "Szz = psd.sel(S=\"Szz\")\n",
     "\n",
     "# Cross-spectra\n",
-    "csd = fft_tool.cross_spectral_density(disp, freq_units=\"Hz\")\n",
+    "csd = fft_tool.cross_spectral_density(disp, freq_units=\"Hz\", pct_overlap=pct_overlap)\n",
     "csd = csd.sel(coh_freq=slc_freq)\n",
     "Cxz = csd.sel(C=\"Cxz\").real\n",
     "Cxy = csd.sel(C=\"Cxy\").real\n",
@@ -1449,7 +1493,7 @@
    "id": "7b9ee95d",
    "metadata": {},
    "source": [
-    "And plot. Some datapoints may be missing for velocity data that was quality controlled out, but we can see that the highest energy waves are coming from -80 degees (10 degrees north of due West), with a spread of approximately 20 degrees."
+    "And plot. Some datapoints may be missing for velocity data that was quality controlled out, but we can see that the highest energy waves are coming from -80 degees (10 degrees north of due West), with a spread of approximately 10-20 degrees."
    ]
   },
   {
@@ -1461,7 +1505,7 @@
     {
      "data": {
       "text/plain": [
-       "[Text(0, 0.5, 'Peak Wave Spread [deg]')]"
+       "[(0.0, 90.0), Text(0, 0.5, 'Peak Wave Spread [deg]')]"
       ]
      },
      "execution_count": 17,
@@ -1470,7 +1514,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x500 with 2 Axes>"
       ]
@@ -1482,18 +1526,18 @@
    "source": [
     "fig, ax = plt.subplots(2, 1, figsize=(10, 5), constrained_layout=True)\n",
     "ax[0].plot(\n",
-    "    ds_waves_avg[\"time\"],\n",
+    "    ds_waves_avg[\"time_psd\"],\n",
     "    ds_waves_avg[\"peak_wave_direction\"],\n",
     "    \".-\",\n",
     ")\n",
-    "ax[0].set(ylabel=\"Peak Wave Direction\\n[deg CW from N]\")\n",
+    "ax[0].set(ylim=(-180, 180), ylabel=\"Peak Wave Direction\\n[deg CW from N]\")\n",
     "\n",
     "ax[1].plot(\n",
-    "    ds_waves_avg[\"time\"],\n",
+    "    ds_waves_avg[\"time_psd\"],\n",
     "    ds_waves_avg[\"peak_wave_spread\"],\n",
     "    \".-\",\n",
     ")\n",
-    "ax[1].set(ylabel=\"Peak Wave Spread [deg]\")"
+    "ax[1].set(ylim=(0, 90), ylabel=\"Peak Wave Spread [deg]\")"
    ]
   },
   {
diff --git a/examples/adv_example.ipynb b/examples/adv_example.ipynb
index b497a8635..d0eb0d83c 100644
--- a/examples/adv_example.ipynb
+++ b/examples/adv_example.ipynb
@@ -108,9 +108,7 @@
        "</symbol>\n",
        "</defs>\n",
        "</svg>\n",
-       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
-       " *\n",
-       " */\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
        "\n",
        ":root {\n",
        "  --xr-font-color0: var(\n",
@@ -189,6 +187,7 @@
        "  display: block !important;\n",
        "  min-width: 300px;\n",
        "  max-width: 700px;\n",
+       "  line-height: 1.6;\n",
        "}\n",
        "\n",
        ".xr-text-repr-fallback {\n",
@@ -211,11 +210,18 @@
        "}\n",
        "\n",
        ".xr-obj-type,\n",
-       ".xr-array-name {\n",
+       ".xr-obj-name,\n",
+       ".xr-group-name {\n",
        "  margin-left: 2px;\n",
        "  margin-right: 10px;\n",
        "}\n",
        "\n",
+       ".xr-group-name::before {\n",
+       "  content: \"📁\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-name,\n",
        ".xr-obj-type {\n",
        "  color: var(--xr-font-color2);\n",
        "}\n",
@@ -224,6 +230,8 @@
        "  padding-left: 0 !important;\n",
        "  display: grid;\n",
        "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "  margin-block-start: 0;\n",
+       "  margin-block-end: 0;\n",
        "}\n",
        "\n",
        ".xr-section-item {\n",
@@ -234,6 +242,7 @@
        "  display: inline-block;\n",
        "  opacity: 0;\n",
        "  height: 0;\n",
+       "  margin: 0;\n",
        "}\n",
        "\n",
        ".xr-section-item input + label {\n",
@@ -292,7 +301,6 @@
        ".xr-section-summary,\n",
        ".xr-section-inline-details {\n",
        "  padding-top: 4px;\n",
-       "  padding-bottom: 4px;\n",
        "}\n",
        "\n",
        ".xr-section-inline-details {\n",
@@ -302,6 +310,7 @@
        ".xr-section-details {\n",
        "  display: none;\n",
        "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
        "  margin-bottom: 5px;\n",
        "}\n",
        "\n",
@@ -309,6 +318,32 @@
        "  display: contents;\n",
        "}\n",
        "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 20px auto;\n",
+       "  width: 100%;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 20px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "}\n",
+       "\n",
        ".xr-array-wrap {\n",
        "  grid-column: 1 / -1;\n",
        "  display: grid;\n",
@@ -547,7 +582,7 @@
        "  * x2                   (x2) int32 12B 1 2 3\n",
        "  * earth                (earth) &lt;U1 12B &#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;\n",
        "  * inst                 (inst) &lt;U1 12B &#x27;X&#x27; &#x27;Y&#x27; &#x27;Z&#x27;\n",
-       "Data variables: (12/17)\n",
+       "Data variables: (12/16)\n",
        "    beam2inst_orientmat  (x1, x2) float64 72B 2.575 -1.305 ... 0.3582 0.3455\n",
        "    batt                 (time) float32 864kB 13.4 13.4 13.4 ... nan nan nan\n",
        "    c_sound              (time) float32 864kB 1.477e+03 1.477e+03 ... nan nan\n",
@@ -555,12 +590,12 @@
        "    pitch                (time) float32 864kB 0.0 0.0 0.0 0.0 ... nan nan nan\n",
        "    roll                 (time) float32 864kB 0.0 0.0 0.0 0.0 ... nan nan nan\n",
        "    ...                   ...\n",
+       "    vel                  (dir, time) float32 3MB -0.034 -0.043 ... 0.075 0.082\n",
        "    amp                  (beam, time) uint8 648kB 84 93 104 103 ... 106 106 95\n",
        "    corr                 (beam, time) uint8 648kB 94 98 98 97 99 ... 95 97 97 92\n",
        "    accel                (dir, time) float32 3MB 9.53 9.536 ... -1.229 -1.219\n",
        "    angrt                (dir, time) float32 3MB 0.000111 ... -0.0005012\n",
        "    orientmat            (earth, inst, time) float32 8MB 0.1533 ... -0.1279\n",
-       "    pressure             (time) float32 864kB 8.865 8.869 8.86 ... 7.073 7.073\n",
        "Attributes: (12/42)\n",
        "    inst_make:                   Nortek\n",
        "    inst_model:                  Vector\n",
@@ -574,36 +609,37 @@
        "    duty_cycle_description:      300.0 second bursts collected at 32.0 Hz, wi...\n",
        "    fs:                          32.0\n",
        "    coord_sys:                   inst\n",
-       "    has_imu:                     1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9186d64b-b865-42cc-a908-89f87d0ed3ef' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9186d64b-b865-42cc-a908-89f87d0ed3ef' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 216039</li><li><span class='xr-has-index'>beam</span>: 3</li><li><span class='xr-has-index'>dir</span>: 3</li><li><span class='xr-has-index'>x1</span>: 3</li><li><span class='xr-has-index'>x2</span>: 3</li><li><span class='xr-has-index'>earth</span>: 3</li><li><span class='xr-has-index'>inst</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-49402275-9697-459b-9c64-9097a1e809b9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-49402275-9697-459b-9c64-9097a1e809b9' class='xr-section-summary' >Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2025-02-25T10:00:03.587208032 .....</div><input id='attrs-eff3ac2f-0af3-46e6-9a1b-00994e1407c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eff3ac2f-0af3-46e6-9a1b-00994e1407c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b5504c7-f21e-44cf-9ac4-59343399fd1c' class='xr-var-data-in' type='checkbox'><label for='data-1b5504c7-f21e-44cf-9ac4-59343399fd1c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2025-02-25T10:00:03.587208032&#x27;, &#x27;2025-02-25T10:00:03.618207931&#x27;,\n",
+       "    has_imu:                     1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4b5393f3-a94e-412a-8a12-4f798c82ca2c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4b5393f3-a94e-412a-8a12-4f798c82ca2c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 216039</li><li><span class='xr-has-index'>beam</span>: 3</li><li><span class='xr-has-index'>dir</span>: 3</li><li><span class='xr-has-index'>x1</span>: 3</li><li><span class='xr-has-index'>x2</span>: 3</li><li><span class='xr-has-index'>earth</span>: 3</li><li><span class='xr-has-index'>inst</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d5e0bb5b-f6c5-4b9a-8244-2b608a165836' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d5e0bb5b-f6c5-4b9a-8244-2b608a165836' class='xr-section-summary' >Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2025-02-25T10:00:03.587208032 .....</div><input id='attrs-fafc6aea-9f63-4b5e-b199-68793d0107a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fafc6aea-9f63-4b5e-b199-68793d0107a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbd96772-4886-4e7d-b4b8-2b95b773aece' class='xr-var-data-in' type='checkbox'><label for='data-cbd96772-4886-4e7d-b4b8-2b95b773aece' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2025-02-25T10:00:03.587208032&#x27;, &#x27;2025-02-25T10:00:03.618207931&#x27;,\n",
        "       &#x27;2025-02-25T10:00:03.649207830&#x27;, ..., &#x27;2025-02-25T17:22:33.502970933&#x27;,\n",
        "       &#x27;2025-02-25T17:22:33.533971071&#x27;, &#x27;2025-02-25T17:22:33.564970970&#x27;],\n",
-       "      shape=(216039,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beam</span></div><div class='xr-var-dims'>(beam)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3</div><input id='attrs-d3769759-8b33-4440-b664-424be3f6a136' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3769759-8b33-4440-b664-424be3f6a136' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3aad9ef2-f664-46a9-9b09-9cfbe244cf29' class='xr-var-data-in' type='checkbox'><label for='data-3aad9ef2-f664-46a9-9b09-9cfbe244cf29' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Beam Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dir</span></div><div class='xr-var-dims'>(dir)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;X&#x27; &#x27;Y&#x27; &#x27;Z&#x27;</div><input id='attrs-c20bd223-457c-4725-a7e2-7907937bf51e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c20bd223-457c-4725-a7e2-7907937bf51e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18a77b6f-a9fa-464c-a931-a3d42d9c4096' class='xr-var-data-in' type='checkbox'><label for='data-18a77b6f-a9fa-464c-a931-a3d42d9c4096' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>ref_frame :</span></dt><dd>inst</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;X&#x27;, &#x27;Y&#x27;, &#x27;Z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x1</span></div><div class='xr-var-dims'>(x1)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3</div><input id='attrs-9531ef32-2f78-4994-a414-b5145b8b8a70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9531ef32-2f78-4994-a414-b5145b8b8a70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-962d69db-4cd8-4348-b7ab-828e64130f02' class='xr-var-data-in' type='checkbox'><label for='data-962d69db-4cd8-4348-b7ab-828e64130f02' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x2</span></div><div class='xr-var-dims'>(x2)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3</div><input id='attrs-462cc399-321e-41a0-bcd1-3e434618547a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-462cc399-321e-41a0-bcd1-3e434618547a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50dbbc40-296a-45b6-9f34-9aa5280be69a' class='xr-var-data-in' type='checkbox'><label for='data-50dbbc40-296a-45b6-9f34-9aa5280be69a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>earth</span></div><div class='xr-var-dims'>(earth)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;</div><input id='attrs-3ba1208a-637f-4084-ab52-a62e69715ec4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ba1208a-637f-4084-ab52-a62e69715ec4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0f634a5-5d0e-4a42-af6d-c0c6b18721e9' class='xr-var-data-in' type='checkbox'><label for='data-c0f634a5-5d0e-4a42-af6d-c0c6b18721e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Earth Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>inst</span></div><div class='xr-var-dims'>(inst)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;X&#x27; &#x27;Y&#x27; &#x27;Z&#x27;</div><input id='attrs-accda159-01c2-47bc-9b9a-961b6bd24148' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-accda159-01c2-47bc-9b9a-961b6bd24148' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8fd4399-07bf-41a2-a616-3ba9294c8d46' class='xr-var-data-in' type='checkbox'><label for='data-b8fd4399-07bf-41a2-a616-3ba9294c8d46' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Instrument Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;X&#x27;, &#x27;Y&#x27;, &#x27;Z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8dff74e9-7f8c-4938-b311-3d75825c109e' class='xr-section-summary-in' type='checkbox'  ><label for='section-8dff74e9-7f8c-4938-b311-3d75825c109e' class='xr-section-summary' >Data variables: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>beam2inst_orientmat</span></div><div class='xr-var-dims'>(x1, x2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.575 -1.305 ... 0.3582 0.3455</div><input id='attrs-703132a7-060e-40d7-80ea-9c1c194b616e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-703132a7-060e-40d7-80ea-9c1c194b616e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c98e53b5-781b-4e70-a978-374e6337b474' class='xr-var-data-in' type='checkbox'><label for='data-c98e53b5-781b-4e70-a978-374e6337b474' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Rotation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[ 2.57543945, -1.3046875 , -1.25878906],\n",
+       "      shape=(216039,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beam</span></div><div class='xr-var-dims'>(beam)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3</div><input id='attrs-42bbc816-d6b1-4ff2-92df-bbc3708eeec5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42bbc816-d6b1-4ff2-92df-bbc3708eeec5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13a313ef-1bc9-4a34-8888-1d36c7e771fa' class='xr-var-data-in' type='checkbox'><label for='data-13a313ef-1bc9-4a34-8888-1d36c7e771fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Beam Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dir</span></div><div class='xr-var-dims'>(dir)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;X&#x27; &#x27;Y&#x27; &#x27;Z&#x27;</div><input id='attrs-ef3f4aab-ea83-47aa-9eb1-79e202bb39e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef3f4aab-ea83-47aa-9eb1-79e202bb39e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-397ee9bf-470f-4bbc-ae63-fd8284588539' class='xr-var-data-in' type='checkbox'><label for='data-397ee9bf-470f-4bbc-ae63-fd8284588539' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>ref_frame :</span></dt><dd>inst</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;X&#x27;, &#x27;Y&#x27;, &#x27;Z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x1</span></div><div class='xr-var-dims'>(x1)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3</div><input id='attrs-d6cea542-05df-4dfb-8a49-0e0d9eae235c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6cea542-05df-4dfb-8a49-0e0d9eae235c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bec94053-73b9-411d-b2f0-8f1c41e7542f' class='xr-var-data-in' type='checkbox'><label for='data-bec94053-73b9-411d-b2f0-8f1c41e7542f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x2</span></div><div class='xr-var-dims'>(x2)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3</div><input id='attrs-c274cc6a-c86a-4256-a8bd-2ecabf4ba00a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c274cc6a-c86a-4256-a8bd-2ecabf4ba00a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cd0c068-6bfb-4c9d-b445-b17e36c68510' class='xr-var-data-in' type='checkbox'><label for='data-6cd0c068-6bfb-4c9d-b445-b17e36c68510' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>earth</span></div><div class='xr-var-dims'>(earth)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;E&#x27; &#x27;N&#x27; &#x27;U&#x27;</div><input id='attrs-08ca5061-7e38-4fcc-9c14-c0d43d8c13a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08ca5061-7e38-4fcc-9c14-c0d43d8c13a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30db0d58-ca31-4193-911d-56059a69116d' class='xr-var-data-in' type='checkbox'><label for='data-30db0d58-ca31-4193-911d-56059a69116d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Earth Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>inst</span></div><div class='xr-var-dims'>(inst)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;X&#x27; &#x27;Y&#x27; &#x27;Z&#x27;</div><input id='attrs-e1b67d8c-07f9-441b-8cee-3b283d46eac5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1b67d8c-07f9-441b-8cee-3b283d46eac5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6304748-8efa-4d2f-987a-21f5432bbb06' class='xr-var-data-in' type='checkbox'><label for='data-a6304748-8efa-4d2f-987a-21f5432bbb06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Instrument Reference Frame</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;X&#x27;, &#x27;Y&#x27;, &#x27;Z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f1df3977-bef9-465d-a677-605b43314827' class='xr-section-summary-in' type='checkbox'  ><label for='section-f1df3977-bef9-465d-a677-605b43314827' class='xr-section-summary' >Data variables: <span>(16)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>beam2inst_orientmat</span></div><div class='xr-var-dims'>(x1, x2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.575 -1.305 ... 0.3582 0.3455</div><input id='attrs-ff3a7ca4-5f29-41ec-82ef-e14c1e7c75a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff3a7ca4-5f29-41ec-82ef-e14c1e7c75a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03789d13-c7fd-4a78-9e68-d7f54489768a' class='xr-var-data-in' type='checkbox'><label for='data-03789d13-c7fd-4a78-9e68-d7f54489768a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Rotation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[ 2.57543945, -1.3046875 , -1.25878906],\n",
        "       [-0.02807617,  2.33764648, -2.31494141],\n",
-       "       [ 0.32958984,  0.3581543 ,  0.34545898]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>batt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>13.4 13.4 13.4 13.4 ... nan nan nan</div><input id='attrs-9fbc3a68-a119-428a-b5e0-4884f07aed8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9fbc3a68-a119-428a-b5e0-4884f07aed8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91211106-919d-4fb9-8526-aa0c9624b0c2' class='xr-var-data-in' type='checkbox'><label for='data-91211106-919d-4fb9-8526-aa0c9624b0c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>V</dd><dt><span>long_name :</span></dt><dd>Battery Voltage</dd></dl></div><div class='xr-var-data'><pre>array([13.400001, 13.400001, 13.400001, ...,       nan,       nan,\n",
-       "             nan], shape=(216039,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>c_sound</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.477e+03 1.477e+03 ... nan nan</div><input id='attrs-08f5c789-30e6-4957-a092-0111aab90a02' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08f5c789-30e6-4957-a092-0111aab90a02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e40162e-fc57-4ab4-ba56-4741fe6b2a87' class='xr-var-data-in' type='checkbox'><label for='data-2e40162e-fc57-4ab4-ba56-4741fe6b2a87' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Speed of Sound</dd><dt><span>standard_name :</span></dt><dd>speed_of_sound_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([1476.8, 1476.8, 1476.8, ...,    nan,    nan,    nan],\n",
-       "      shape=(216039,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heading</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-696a27c2-0b75-4e07-aad9-d514c4d988df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-696a27c2-0b75-4e07-aad9-d514c4d988df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f507ce9f-f2a9-4bf8-9e7d-a8f7f0e0d8ae' class='xr-var-data-in' type='checkbox'><label for='data-f507ce9f-f2a9-4bf8-9e7d-a8f7f0e0d8ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Heading</dd><dt><span>standard_name :</span></dt><dd>platform_orientation</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  0.,  0., ..., nan, nan, nan], shape=(216039,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pitch</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-6d793d89-3908-4e9c-93fb-b463fc26b963' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d793d89-3908-4e9c-93fb-b463fc26b963' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1e564d3-b960-4bb9-ab01-df67b4f075fe' class='xr-var-data-in' type='checkbox'><label for='data-e1e564d3-b960-4bb9-ab01-df67b4f075fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Pitch</dd><dt><span>standard_name :</span></dt><dd>platform_pitch</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  0.,  0., ..., nan, nan, nan], shape=(216039,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>roll</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-2714a71d-7966-4693-bc13-3e7177d1606f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2714a71d-7966-4693-bc13-3e7177d1606f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f29a596-9898-4616-a54f-d16f41ffd7c4' class='xr-var-data-in' type='checkbox'><label for='data-7f29a596-9898-4616-a54f-d16f41ffd7c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Roll</dd><dt><span>standard_name :</span></dt><dd>platform_roll</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  0.,  0., ..., nan, nan, nan], shape=(216039,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>7.51 7.51 7.51 7.51 ... nan nan nan</div><input id='attrs-7f1c6a3b-3cbf-4764-9478-b56c84c25ca6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f1c6a3b-3cbf-4764-9478-b56c84c25ca6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f96a993e-4d5f-4406-b138-052df6351aa9' class='xr-var-data-in' type='checkbox'><label for='data-f96a993e-4d5f-4406-b138-052df6351aa9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd></dl></div><div class='xr-var-data'><pre>array([7.5099998, 7.5099998, 7.5099998, ...,       nan,       nan,\n",
-       "             nan], shape=(216039,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>error</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-51161105-e083-4022-b1b1-b28cc6a38d38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51161105-e083-4022-b1b1-b28cc6a38d38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bbfc8b23-634a-4037-8159-796637a6920c' class='xr-var-data-in' type='checkbox'><label for='data-bbfc8b23-634a-4037-8159-796637a6920c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Error Code</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(216039,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>112 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0</div><input id='attrs-e3db266f-7865-4291-9bb5-7ffa423e1d35' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3db266f-7865-4291-9bb5-7ffa423e1d35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-262740b5-afdc-49da-baa8-481ebd33832d' class='xr-var-data-in' type='checkbox'><label for='data-262740b5-afdc-49da-baa8-481ebd33832d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Status Code</dd></dl></div><div class='xr-var-data'><pre>array([112,   0,   0, ...,   0,   0,   0], shape=(216039,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientation_down</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False False False ... False False</div><input id='attrs-db0c387e-c000-407c-969b-4f529c88dbd4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db0c387e-c000-407c-969b-4f529c88dbd4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a813a6fa-6ab8-4084-8054-d73a7c7201c0' class='xr-var-data-in' type='checkbox'><label for='data-a813a6fa-6ab8-4084-8054-d73a7c7201c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Orientation of ADV Communication Cable</dd></dl></div><div class='xr-var-data'><pre>array([False, False, False, ..., False, False, False], shape=(216039,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vel</span></div><div class='xr-var-dims'>(dir, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.034 -0.043 ... 0.075 0.082</div><input id='attrs-94a03591-2a9b-4716-8679-a01998138cc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94a03591-2a9b-4716-8679-a01998138cc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d33f4988-79d8-4631-a2c4-e058057fb41b' class='xr-var-data-in' type='checkbox'><label for='data-d33f4988-79d8-4631-a2c4-e058057fb41b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Water Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[-3.4000002e-02, -4.3000001e-02, -3.3000000e-02, ...,\n",
+       "       [ 0.32958984,  0.3581543 ,  0.34545898]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>batt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>13.4 13.4 13.4 13.4 ... nan nan nan</div><input id='attrs-3422a17d-c9fa-413d-a842-fa96d223ceec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3422a17d-c9fa-413d-a842-fa96d223ceec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11e10126-4f62-49b6-8558-68d42fd87006' class='xr-var-data-in' type='checkbox'><label for='data-11e10126-4f62-49b6-8558-68d42fd87006' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>V</dd><dt><span>long_name :</span></dt><dd>Battery Voltage</dd></dl></div><div class='xr-var-data'><pre>array([13.400001, 13.400001, 13.400001, ...,       nan,       nan,\n",
+       "             nan], shape=(216039,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>c_sound</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.477e+03 1.477e+03 ... nan nan</div><input id='attrs-a715a354-0c41-4d70-bcb9-3be45bbaee23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a715a354-0c41-4d70-bcb9-3be45bbaee23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e318cd15-6711-45e6-9c0d-d16399cf2b99' class='xr-var-data-in' type='checkbox'><label for='data-e318cd15-6711-45e6-9c0d-d16399cf2b99' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Speed of Sound</dd><dt><span>standard_name :</span></dt><dd>speed_of_sound_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([1476.8, 1476.8, 1476.8, ...,    nan,    nan,    nan],\n",
+       "      shape=(216039,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heading</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-5cb2af55-0336-4ce4-b321-4ffe3adc3dc1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5cb2af55-0336-4ce4-b321-4ffe3adc3dc1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49b17d4f-4788-427a-8dc9-eec7c06077c7' class='xr-var-data-in' type='checkbox'><label for='data-49b17d4f-4788-427a-8dc9-eec7c06077c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Heading</dd><dt><span>standard_name :</span></dt><dd>platform_orientation</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  0.,  0., ..., nan, nan, nan], shape=(216039,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pitch</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-731580d7-9b16-4e2c-98a8-8ce4f0418fc1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-731580d7-9b16-4e2c-98a8-8ce4f0418fc1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07b0462f-aa79-4bac-a253-29b37adf6101' class='xr-var-data-in' type='checkbox'><label for='data-07b0462f-aa79-4bac-a253-29b37adf6101' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Pitch</dd><dt><span>standard_name :</span></dt><dd>platform_pitch</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  0.,  0., ..., nan, nan, nan], shape=(216039,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>roll</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-0f730a7c-8052-44f2-a98e-7fa7642686d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f730a7c-8052-44f2-a98e-7fa7642686d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad86bcd8-1377-4650-97d5-0482c314bd70' class='xr-var-data-in' type='checkbox'><label for='data-ad86bcd8-1377-4650-97d5-0482c314bd70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree</dd><dt><span>long_name :</span></dt><dd>Roll</dd><dt><span>standard_name :</span></dt><dd>platform_roll</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  0.,  0., ..., nan, nan, nan], shape=(216039,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>7.51 7.51 7.51 7.51 ... nan nan nan</div><input id='attrs-9dc4ffa4-6441-48fa-8663-52d09f4d29b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9dc4ffa4-6441-48fa-8663-52d09f4d29b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28d33a53-0954-4b5e-b686-f84609fd0781' class='xr-var-data-in' type='checkbox'><label for='data-28d33a53-0954-4b5e-b686-f84609fd0781' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd></dl></div><div class='xr-var-data'><pre>array([7.5099998, 7.5099998, 7.5099998, ...,       nan,       nan,\n",
+       "             nan], shape=(216039,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>error</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-d8a3dc5d-af89-4381-9df8-90812359b847' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8a3dc5d-af89-4381-9df8-90812359b847' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b3c9caa-0d17-4fc3-998d-74e3cdba33be' class='xr-var-data-in' type='checkbox'><label for='data-9b3c9caa-0d17-4fc3-998d-74e3cdba33be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Error Code</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], shape=(216039,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>112 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0</div><input id='attrs-acbff165-98a3-4e60-9963-514b570bb3d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-acbff165-98a3-4e60-9963-514b570bb3d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca495460-2ee3-45aa-93c3-c74f787e8155' class='xr-var-data-in' type='checkbox'><label for='data-ca495460-2ee3-45aa-93c3-c74f787e8155' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Status Code</dd></dl></div><div class='xr-var-data'><pre>array([112,   0,   0, ...,   0,   0,   0], shape=(216039,), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>8.865 8.869 8.86 ... 7.073 7.073</div><input id='attrs-e5fa83a0-27d7-433c-be58-2b88c9db2e24' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5fa83a0-27d7-433c-be58-2b88c9db2e24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e699d3b-3e2b-476f-b15c-2f209a7bca5c' class='xr-var-data-in' type='checkbox'><label for='data-8e699d3b-3e2b-476f-b15c-2f209a7bca5c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dbar</dd><dt><span>long_name :</span></dt><dd>Pressure</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd></dl></div><div class='xr-var-data'><pre>array([8.865001 , 8.869    , 8.860001 , ..., 7.0680003, 7.0730004,\n",
+       "       7.0730004], shape=(216039,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vel</span></div><div class='xr-var-dims'>(dir, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.034 -0.043 ... 0.075 0.082</div><input id='attrs-33cb36eb-732e-45d4-98e2-dec6bed64e8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33cb36eb-732e-45d4-98e2-dec6bed64e8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c71ac85-17e6-420e-ba99-0d4eac55f3cb' class='xr-var-data-in' type='checkbox'><label for='data-1c71ac85-17e6-420e-ba99-0d4eac55f3cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Water Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[-3.4000002e-02, -4.3000001e-02, -3.3000000e-02, ...,\n",
        "         1.1380000e+00,  1.0910001e+00,  1.0620000e+00],\n",
        "       [ 2.0000001e-03,  0.0000000e+00,  0.0000000e+00, ...,\n",
        "         2.5100002e-01,  1.9200000e-01,  1.5800001e-01],\n",
        "       [-1.0000000e-03, -6.0000001e-03, -7.0000002e-03, ...,\n",
        "         8.4000006e-02,  7.5000003e-02,  8.2000002e-02]],\n",
-       "      shape=(3, 216039), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>amp</span></div><div class='xr-var-dims'>(beam, time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>84 93 104 103 ... 106 106 106 95</div><input id='attrs-32e26ac8-431b-4585-95a0-032f9bbbc32d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32e26ac8-431b-4585-95a0-032f9bbbc32d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0363d896-6753-43b4-ad17-793eae97a1ad' class='xr-var-data-in' type='checkbox'><label for='data-0363d896-6753-43b4-ad17-793eae97a1ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Amplitude</dd><dt><span>standard_name :</span></dt><dd>signal_intensity_from_multibeam_acoustic_doppler_velocity_sensor_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([[ 84,  93, 104, ..., 110,  99, 102],\n",
+       "      shape=(3, 216039), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>amp</span></div><div class='xr-var-dims'>(beam, time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>84 93 104 103 ... 106 106 106 95</div><input id='attrs-a487cc2a-c549-4089-872b-83c855bd2365' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a487cc2a-c549-4089-872b-83c855bd2365' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b90a150f-ee9e-4a6d-bb81-5c0ac43a4ed3' class='xr-var-data-in' type='checkbox'><label for='data-b90a150f-ee9e-4a6d-bb81-5c0ac43a4ed3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Amplitude</dd><dt><span>standard_name :</span></dt><dd>signal_intensity_from_multibeam_acoustic_doppler_velocity_sensor_in_sea_water</dd></dl></div><div class='xr-var-data'><pre>array([[ 84,  93, 104, ..., 110,  99, 102],\n",
        "       [ 89,  93,  93, ..., 101,  98,  92],\n",
        "       [ 96, 101,  99, ..., 106, 106,  95]],\n",
-       "      shape=(3, 216039), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>corr</span></div><div class='xr-var-dims'>(beam, time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>94 98 98 97 99 ... 95 95 97 97 92</div><input id='attrs-f4c10bea-8188-4239-9107-6ae1e469d080' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4c10bea-8188-4239-9107-6ae1e469d080' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81c68f19-1008-4f72-83d1-feeb6f7b0714' class='xr-var-data-in' type='checkbox'><label for='data-81c68f19-1008-4f72-83d1-feeb6f7b0714' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>%</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Correlation</dd></dl></div><div class='xr-var-data'><pre>array([[94, 98, 98, ..., 94, 98, 97],\n",
+       "      shape=(3, 216039), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>corr</span></div><div class='xr-var-dims'>(beam, time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>94 98 98 97 99 ... 95 95 97 97 92</div><input id='attrs-c05dcb9e-2d04-47e0-805c-625d30499b19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c05dcb9e-2d04-47e0-805c-625d30499b19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5199e7fa-ed11-4726-b520-7708827366f0' class='xr-var-data-in' type='checkbox'><label for='data-5199e7fa-ed11-4726-b520-7708827366f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>%</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acoustic Signal Correlation</dd></dl></div><div class='xr-var-data'><pre>array([[94, 98, 98, ..., 94, 98, 97],\n",
        "       [99, 99, 99, ..., 98, 93, 96],\n",
-       "       [98, 99, 99, ..., 97, 97, 92]], shape=(3, 216039), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>accel</span></div><div class='xr-var-dims'>(dir, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.53 9.536 9.526 ... -1.229 -1.219</div><input id='attrs-8313f6d6-55fe-49c2-84ca-3da6a337db35' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8313f6d6-55fe-49c2-84ca-3da6a337db35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75f65cb0-8618-419f-8738-e63a7604c3e9' class='xr-var-data-in' type='checkbox'><label for='data-75f65cb0-8618-419f-8738-e63a7604c3e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-2</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acceleration</dd></dl></div><div class='xr-var-data'><pre>array([[ 9.530013  ,  9.536455  ,  9.525976  , ...,  9.601015  ,\n",
+       "       [98, 99, 99, ..., 97, 97, 92]], shape=(3, 216039), dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>accel</span></div><div class='xr-var-dims'>(dir, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.53 9.536 9.526 ... -1.229 -1.219</div><input id='attrs-b554f8ba-bce7-41a5-9aab-8eea7591e81e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b554f8ba-bce7-41a5-9aab-8eea7591e81e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-960b2368-5142-48dd-9fc0-176bb1782ffc' class='xr-var-data-in' type='checkbox'><label for='data-960b2368-5142-48dd-9fc0-176bb1782ffc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-2</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Acceleration</dd></dl></div><div class='xr-var-data'><pre>array([[ 9.530013  ,  9.536455  ,  9.525976  , ...,  9.601015  ,\n",
        "         9.597994  ,  9.593181  ],\n",
        "       [ 1.0119547 ,  1.0139961 ,  1.0076023 , ...,  0.996303  ,\n",
        "         0.9979168 ,  0.99355274],\n",
        "       [-1.1934966 , -1.1835487 , -1.1902841 , ..., -1.2235923 ,\n",
-       "        -1.2292643 , -1.2193956 ]], shape=(3, 216039), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angrt</span></div><div class='xr-var-dims'>(dir, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.000111 0.0004271 ... -0.0005012</div><input id='attrs-eff92a37-a78c-4330-86d8-1c72202f9aa1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eff92a37-a78c-4330-86d8-1c72202f9aa1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10fcd485-cfac-40d7-ad84-95d75ab86cdf' class='xr-var-data-in' type='checkbox'><label for='data-10fcd485-cfac-40d7-ad84-95d75ab86cdf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>rad s-1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Angular Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.00011099,  0.00042707, -0.00056194, ..., -0.00380341,\n",
+       "        -1.2292643 , -1.2193956 ]], shape=(3, 216039), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angrt</span></div><div class='xr-var-dims'>(dir, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.000111 0.0004271 ... -0.0005012</div><input id='attrs-d66abc60-d067-4f0c-9252-ca01559da6f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d66abc60-d067-4f0c-9252-ca01559da6f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36c6fc98-c701-4e77-ad11-319d49830af8' class='xr-var-data-in' type='checkbox'><label for='data-36c6fc98-c701-4e77-ad11-319d49830af8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>rad s-1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Angular Velocity</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.00011099,  0.00042707, -0.00056194, ..., -0.00380341,\n",
        "        -0.00334683, -0.00371215],\n",
        "       [-0.00019397, -0.00023042, -0.00117751, ..., -0.00171529,\n",
        "        -0.00122215, -0.00037502],\n",
        "       [-0.00022086, -0.00021133,  0.0006542 , ..., -0.00037107,\n",
-       "        -0.00060423, -0.00050117]], shape=(3, 216039), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientmat</span></div><div class='xr-var-dims'>(earth, inst, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.1533 0.1533 ... -0.128 -0.1279</div><input id='attrs-81336e5e-38b8-4c77-b35f-05167ea062ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81336e5e-38b8-4c77-b35f-05167ea062ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-968c5f71-43ce-4b01-9678-a579235367ee' class='xr-var-data-in' type='checkbox'><label for='data-968c5f71-43ce-4b01-9678-a579235367ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Orientation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.15330946,  0.15328561,  0.1532521 , ...,  0.16398108,\n",
+       "        -0.00060423, -0.00050117]], shape=(3, 216039), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientmat</span></div><div class='xr-var-dims'>(earth, inst, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.1533 0.1533 ... -0.128 -0.1279</div><input id='attrs-4bc9910f-5bfa-4f2b-9a72-c2c9db2ee017' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4bc9910f-5bfa-4f2b-9a72-c2c9db2ee017' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1782b33-5850-42de-9113-885b1f1c8618' class='xr-var-data-in' type='checkbox'><label for='data-f1782b33-5850-42de-9113-885b1f1c8618' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>long_name :</span></dt><dd>Orientation Matrix</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.15330946,  0.15328561,  0.1532521 , ...,  0.16398108,\n",
        "          0.164008  ,  0.16400433],\n",
        "        [-0.06399706, -0.06394877, -0.06394862, ..., -0.0096143 ,\n",
        "         -0.00960174, -0.00956409],\n",
@@ -622,29 +658,7 @@
        "        [-0.88791287, -0.8878246 , -0.88774526, ..., -0.6709966 ,\n",
        "         -0.6710047 , -0.67098564],\n",
        "        [-0.12639016, -0.12635832, -0.12636189, ..., -0.12795062,\n",
-       "         -0.12796111, -0.1279361 ]]], shape=(3, 3, 216039), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>8.865 8.869 8.86 ... 7.073 7.073</div><input id='attrs-0ed78f99-057c-4dc3-9d4c-526b9acce917' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ed78f99-057c-4dc3-9d4c-526b9acce917' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb3f29c5-3399-43e9-bb40-4b10c57fee12' class='xr-var-data-in' type='checkbox'><label for='data-eb3f29c5-3399-43e9-bb40-4b10c57fee12' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dbar</dd><dt><span>long_name :</span></dt><dd>Pressure</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd></dl></div><div class='xr-var-data'><pre>array([8.865, 8.869, 8.86 , ..., 7.068, 7.073, 7.073],\n",
-       "      shape=(216039,), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1c5324d0-dedb-4b2d-8a50-30fa86a36c6a' class='xr-section-summary-in' type='checkbox'  ><label for='section-1c5324d0-dedb-4b2d-8a50-30fa86a36c6a' class='xr-section-summary' >Indexes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-b4658096-4005-4418-9701-61d9d31fd850' class='xr-index-data-in' type='checkbox'/><label for='index-b4658096-4005-4418-9701-61d9d31fd850' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2025-02-25 10:00:03.587208032&#x27;,\n",
-       "               &#x27;2025-02-25 10:00:03.618207931&#x27;,\n",
-       "               &#x27;2025-02-25 10:00:03.649207830&#x27;,\n",
-       "               &#x27;2025-02-25 10:00:03.680207967&#x27;,\n",
-       "               &#x27;2025-02-25 10:00:03.711207866&#x27;,\n",
-       "               &#x27;2025-02-25 10:00:03.742207765&#x27;,\n",
-       "               &#x27;2025-02-25 10:00:03.773207664&#x27;,\n",
-       "               &#x27;2025-02-25 10:00:03.804207563&#x27;,\n",
-       "               &#x27;2025-02-25 10:00:03.835207462&#x27;,\n",
-       "               &#x27;2025-02-25 10:00:03.866207599&#x27;,\n",
-       "               ...\n",
-       "               &#x27;2025-02-25 17:22:33.285971164&#x27;,\n",
-       "               &#x27;2025-02-25 17:22:33.316971302&#x27;,\n",
-       "               &#x27;2025-02-25 17:22:33.347971200&#x27;,\n",
-       "               &#x27;2025-02-25 17:22:33.378971099&#x27;,\n",
-       "               &#x27;2025-02-25 17:22:33.409970998&#x27;,\n",
-       "               &#x27;2025-02-25 17:22:33.440971136&#x27;,\n",
-       "               &#x27;2025-02-25 17:22:33.471971035&#x27;,\n",
-       "               &#x27;2025-02-25 17:22:33.502970933&#x27;,\n",
-       "               &#x27;2025-02-25 17:22:33.533971071&#x27;,\n",
-       "               &#x27;2025-02-25 17:22:33.564970970&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=216039, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>beam</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-efd01a09-807d-4e7d-bbe0-727eef21bdc6' class='xr-index-data-in' type='checkbox'/><label for='index-efd01a09-807d-4e7d-bbe0-727eef21bdc6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3], dtype=&#x27;int32&#x27;, name=&#x27;beam&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>dir</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-51013bab-9732-4ef4-a4be-0535f1430381' class='xr-index-data-in' type='checkbox'/><label for='index-51013bab-9732-4ef4-a4be-0535f1430381' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;X&#x27;, &#x27;Y&#x27;, &#x27;Z&#x27;], dtype=&#x27;object&#x27;, name=&#x27;dir&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x1</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-e769141e-b98e-44fd-8b97-9174a4b58f02' class='xr-index-data-in' type='checkbox'/><label for='index-e769141e-b98e-44fd-8b97-9174a4b58f02' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3], dtype=&#x27;int32&#x27;, name=&#x27;x1&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x2</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-b1f2b53a-f25b-4fb5-9424-fbc0addb8094' class='xr-index-data-in' type='checkbox'/><label for='index-b1f2b53a-f25b-4fb5-9424-fbc0addb8094' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3], dtype=&#x27;int32&#x27;, name=&#x27;x2&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>earth</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-ddb448d1-2a7c-4fe0-8f27-a1c3a494b559' class='xr-index-data-in' type='checkbox'/><label for='index-ddb448d1-2a7c-4fe0-8f27-a1c3a494b559' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;E&#x27;, &#x27;N&#x27;, &#x27;U&#x27;], dtype=&#x27;object&#x27;, name=&#x27;earth&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>inst</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-f1d010a6-4a8f-48f2-a0ac-8922cc64b60f' class='xr-index-data-in' type='checkbox'/><label for='index-f1d010a6-4a8f-48f2-a0ac-8922cc64b60f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;X&#x27;, &#x27;Y&#x27;, &#x27;Z&#x27;], dtype=&#x27;object&#x27;, name=&#x27;inst&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-44785129-9e06-4e10-8633-4f6a2e5448af' class='xr-section-summary-in' type='checkbox'  ><label for='section-44785129-9e06-4e10-8633-4f6a2e5448af' class='xr-section-summary' >Attributes: <span>(42)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>inst_make :</span></dt><dd>Nortek</dd><dt><span>inst_model :</span></dt><dd>Vector</dd><dt><span>inst_type :</span></dt><dd>ADV</dd><dt><span>rotate_vars :</span></dt><dd>[&#x27;vel&#x27;, &#x27;accel&#x27;, &#x27;angrt&#x27;]</dd><dt><span>n_beams :</span></dt><dd>3</dd><dt><span>profile_mode :</span></dt><dd>continuous</dd><dt><span>burst_mode :</span></dt><dd>True</dd><dt><span>power_level :</span></dt><dd>1</dd><dt><span>sync_out_pos :</span></dt><dd>end</dd><dt><span>sample_on_sync :</span></dt><dd>False</dd><dt><span>start_on_sync :</span></dt><dd>False</dd><dt><span>compass_update_rate :</span></dt><dd>1</dd><dt><span>n_bins :</span></dt><dd>1</dd><dt><span>deployment_name :</span></dt><dd>VIV</dd><dt><span>wrap_mode :</span></dt><dd>False</dd><dt><span>analog_in :</span></dt><dd>0</dd><dt><span>software_version :</span></dt><dd>2.00.02</dd><dt><span>salinity :</span></dt><dd>32.0</dd><dt><span>comments :</span></dt><dd>VIV deployment Feb2025 Time in PST </dd><dt><span>user_specified_sound_speed :</span></dt><dd>False</dd><dt><span>analog_output :</span></dt><dd>False</dd><dt><span>output_format :</span></dt><dd>Vector</dd><dt><span>serial_output :</span></dt><dd>False</dd><dt><span>power_output_analog :</span></dt><dd>False</dd><dt><span>n_pings_per_burst :</span></dt><dd>1</dd><dt><span>pressure_sensor :</span></dt><dd>yes</dd><dt><span>compass :</span></dt><dd>no</dd><dt><span>tilt_sensor :</span></dt><dd>no</dd><dt><span>carrier_freq_kHz :</span></dt><dd>6000</dd><dt><span>serial_number :</span></dt><dd>VEC14837</dd><dt><span>ProLogFWver :</span></dt><dd>4.13</dd><dt><span>PIC_version :</span></dt><dd>0</dd><dt><span>hardware_rev :</span></dt><dd>4</dd><dt><span>recorder_size_bytes :</span></dt><dd>3037724672</dd><dt><span>vel_range :</span></dt><dd>normal</dd><dt><span>firmware_version :</span></dt><dd>3.43</dd><dt><span>duty_cycle_n_burst :</span></dt><dd>9600</dd><dt><span>duty_cycle_interval :</span></dt><dd>1200</dd><dt><span>duty_cycle_description :</span></dt><dd>300.0 second bursts collected at 32.0 Hz, with bursts taken every 20.0 minutes</dd><dt><span>fs :</span></dt><dd>32.0</dd><dt><span>coord_sys :</span></dt><dd>inst</dd><dt><span>has_imu :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
+       "         -0.12796111, -0.1279361 ]]], shape=(3, 3, 216039), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5f093a3f-f223-40c2-98e4-9acedd891c79' class='xr-section-summary-in' type='checkbox'  ><label for='section-5f093a3f-f223-40c2-98e4-9acedd891c79' class='xr-section-summary' >Attributes: <span>(42)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>inst_make :</span></dt><dd>Nortek</dd><dt><span>inst_model :</span></dt><dd>Vector</dd><dt><span>inst_type :</span></dt><dd>ADV</dd><dt><span>rotate_vars :</span></dt><dd>[&#x27;vel&#x27;, &#x27;accel&#x27;, &#x27;angrt&#x27;]</dd><dt><span>n_beams :</span></dt><dd>3</dd><dt><span>profile_mode :</span></dt><dd>continuous</dd><dt><span>burst_mode :</span></dt><dd>burst</dd><dt><span>power_level :</span></dt><dd>1</dd><dt><span>sync_out_pos :</span></dt><dd>end</dd><dt><span>sample_on_sync :</span></dt><dd>False</dd><dt><span>start_on_sync :</span></dt><dd>False</dd><dt><span>compass_update_rate :</span></dt><dd>1</dd><dt><span>n_bins :</span></dt><dd>1</dd><dt><span>deployment_name :</span></dt><dd>VIV</dd><dt><span>wrap_mode :</span></dt><dd>False</dd><dt><span>analog_in :</span></dt><dd>0</dd><dt><span>software_version :</span></dt><dd>2.00.02</dd><dt><span>salinity :</span></dt><dd>32.0</dd><dt><span>comments :</span></dt><dd>VIV deployment Feb2025 Time in PST </dd><dt><span>user_specified_sound_speed :</span></dt><dd>False</dd><dt><span>analog_output :</span></dt><dd>False</dd><dt><span>serial_output :</span></dt><dd>False</dd><dt><span>power_output_analog :</span></dt><dd>False</dd><dt><span>n_burst :</span></dt><dd>9600</dd><dt><span>pressure_sensor :</span></dt><dd>yes</dd><dt><span>compass :</span></dt><dd>no</dd><dt><span>tilt_sensor :</span></dt><dd>no</dd><dt><span>orientation_down :</span></dt><dd>0</dd><dt><span>carrier_freq_kHz :</span></dt><dd>6000</dd><dt><span>serial_number :</span></dt><dd>VEC14837</dd><dt><span>ProLogFWver :</span></dt><dd>4.13</dd><dt><span>PIC_version :</span></dt><dd>0</dd><dt><span>hardware_rev :</span></dt><dd>4</dd><dt><span>recorder_size_bytes :</span></dt><dd>3037724672</dd><dt><span>vel_range :</span></dt><dd>normal</dd><dt><span>firmware_version :</span></dt><dd>3.43</dd><dt><span>duty_cycle_n_burst :</span></dt><dd>9600</dd><dt><span>duty_cycle_interval :</span></dt><dd>1200</dd><dt><span>duty_cycle_description :</span></dt><dd>300.0 second bursts collected at 32.0 Hz, with bursts taken every 20.0 minutes</dd><dt><span>fs :</span></dt><dd>32.0</dd><dt><span>coord_sys :</span></dt><dd>inst</dd><dt><span>has_imu :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 25MB\n",
@@ -658,7 +672,7 @@
        "  * x2                   (x2) int32 12B 1 2 3\n",
        "  * earth                (earth) <U1 12B 'E' 'N' 'U'\n",
        "  * inst                 (inst) <U1 12B 'X' 'Y' 'Z'\n",
-       "Data variables: (12/17)\n",
+       "Data variables: (12/16)\n",
        "    beam2inst_orientmat  (x1, x2) float64 72B 2.575 -1.305 ... 0.3582 0.3455\n",
        "    batt                 (time) float32 864kB 13.4 13.4 13.4 ... nan nan nan\n",
        "    c_sound              (time) float32 864kB 1.477e+03 1.477e+03 ... nan nan\n",
@@ -666,12 +680,12 @@
        "    pitch                (time) float32 864kB 0.0 0.0 0.0 0.0 ... nan nan nan\n",
        "    roll                 (time) float32 864kB 0.0 0.0 0.0 0.0 ... nan nan nan\n",
        "    ...                   ...\n",
+       "    vel                  (dir, time) float32 3MB -0.034 -0.043 ... 0.075 0.082\n",
        "    amp                  (beam, time) uint8 648kB 84 93 104 103 ... 106 106 95\n",
        "    corr                 (beam, time) uint8 648kB 94 98 98 97 99 ... 95 97 97 92\n",
        "    accel                (dir, time) float32 3MB 9.53 9.536 ... -1.229 -1.219\n",
        "    angrt                (dir, time) float32 3MB 0.000111 ... -0.0005012\n",
        "    orientmat            (earth, inst, time) float32 8MB 0.1533 ... -0.1279\n",
-       "    pressure             (time) float32 864kB 8.865 8.869 8.86 ... 7.073 7.073\n",
        "Attributes: (12/42)\n",
        "    inst_make:                   Nortek\n",
        "    inst_model:                  Vector\n",
@@ -903,7 +917,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -993,13 +1007,22 @@
    "metadata": {
     "scrolled": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\mcve343\\AppData\\Local\\Temp\\ipykernel_28328\\1876082538.py:5: UserWarning: The PSD time coordinate differs from other VelBinner outputs when pct_overlap > 0. Timestamps represent the center of each overlapping sliding window (step=9600 samples, pct_overlap=0.5).\n",
+      "  ds_binned[\"auto_spectra\"] = binner.power_spectral_density(ds[\"vel\"], freq_units=\"Hz\", pct_overlap=0.5)\n"
+     ]
+    }
+   ],
    "source": [
     "# Calculate the variance of each variable in the dataset and add to the averaged dataset\n",
     "ds_binned = binner.bin_variance(ds, out_ds=ds_binned)\n",
     "\n",
     "# Calculate the power spectral density\n",
-    "ds_binned[\"auto_spectra\"] = binner.power_spectral_density(ds[\"vel\"], freq_units=\"Hz\")\n",
+    "ds_binned[\"auto_spectra\"] = binner.power_spectral_density(ds[\"vel\"], freq_units=\"Hz\", pct_overlap=0.5)\n",
     "\n",
     "# Calculate the cross power spectral densities\n",
     "ds_binned[\"cross_spectra\"] = binner.cross_spectral_density(\n",
@@ -1070,7 +1093,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x1b22a9eec90>"
+       "<matplotlib.legend.Legend at 0x23d8ba015d0>"
       ]
      },
      "execution_count": 13,
@@ -1079,7 +1102,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 500x400 with 1 Axes>"
       ]
@@ -1093,7 +1116,7 @@
     "for spec in ds_binned[\"S\"]:\n",
     "    ax.loglog(\n",
     "        ds_binned[\"freq\"],\n",
-    "        ds_binned[\"auto_spectra\"].sel(S=spec).mean(dim=\"time\"),\n",
+    "        ds_binned[\"auto_spectra\"].sel(S=spec).mean(dim=\"time_psd\"),\n",
     "        label=spec.values,\n",
     "    )\n",
     "ax.plot(\n",
@@ -1111,7 +1134,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 500x400 with 1 Axes>"
       ]
@@ -1139,7 +1162,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 500x400 with 1 Axes>"
       ]
@@ -1157,6 +1180,9 @@
     "y_labels = [r\"10$^{-5}$\", r\"10$^{-4}$\", r\"10$^{-3}$\", r\"10$^{-2}$\"]\n",
     "U = np.arange(0, 2, 0.1)\n",
     "\n",
+    "# Set U_mag and dissipation rate to the same time coordinates for plotting\n",
+    "dissipation = ds_binned[\"dissipation_rate\"].interp(time_psd=ds_binned[\"time\"])\n",
+    "\n",
     "fig, ax = plt.subplots(\n",
     "    figsize=(5, 4),\n",
     "    subplot_kw={\"xscale\": \"log\", \"yscale\": \"log\"},\n",
@@ -1164,7 +1190,7 @@
     ")\n",
     "ax.scatter(\n",
     "    abs(ds_binned[\"U_mag\"]),\n",
-    "    ds_binned[\"dissipation_rate\"][0]\n",
+    "    dissipation[0]\n",
     ")\n",
     "ax.plot(U, U**3 * 10 ** (-3), \"--\", color=\"black\", label=\"U$^3$ slope\")\n",
     "\n",
@@ -1191,7 +1217,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x1b2336a9af0>"
+       "<matplotlib.legend.Legend at 0x23d902bf010>"
       ]
      },
      "execution_count": 16,
@@ -1200,7 +1226,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 700x300 with 1 Axes>"
       ]
@@ -1238,7 +1264,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x1b234258c20>"
+       "<matplotlib.legend.Legend at 0x23d90392b50>"
       ]
      },
      "execution_count": 17,
@@ -1247,7 +1273,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 700x300 with 1 Axes>"
       ]
@@ -1303,7 +1329,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "work",
    "language": "python",
    "name": "python3"
   },
@@ -1317,7 +1343,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.11"
+   "version": "3.11.10"
   }
  },
  "nbformat": 4,
diff --git a/examples/data/dolfyn/test_data/BenchFile01_avg.nc b/examples/data/dolfyn/test_data/BenchFile01_avg.nc
index 24d488138..b00515e7d 100644
Binary files a/examples/data/dolfyn/test_data/BenchFile01_avg.nc and b/examples/data/dolfyn/test_data/BenchFile01_avg.nc differ
diff --git a/examples/data/dolfyn/test_data/BenchFile01_func.nc b/examples/data/dolfyn/test_data/BenchFile01_func.nc
index 4581f1464..a2cb12acd 100644
Binary files a/examples/data/dolfyn/test_data/BenchFile01_func.nc and b/examples/data/dolfyn/test_data/BenchFile01_func.nc differ
diff --git a/examples/data/dolfyn/test_data/Sig1000_tidal_bin.nc b/examples/data/dolfyn/test_data/Sig1000_tidal_bin.nc
index 18b65d846..b7a157d3e 100644
Binary files a/examples/data/dolfyn/test_data/Sig1000_tidal_bin.nc and b/examples/data/dolfyn/test_data/Sig1000_tidal_bin.nc differ
diff --git a/examples/data/dolfyn/test_data/vector_data01_bin.nc b/examples/data/dolfyn/test_data/vector_data01_bin.nc
index bfb6875cc..13d2baa86 100644
Binary files a/examples/data/dolfyn/test_data/vector_data01_bin.nc and b/examples/data/dolfyn/test_data/vector_data01_bin.nc differ
diff --git a/examples/data/dolfyn/test_data/vector_data01_func.nc b/examples/data/dolfyn/test_data/vector_data01_func.nc
index 466b11c6c..5e79a8b88 100644
Binary files a/examples/data/dolfyn/test_data/vector_data01_func.nc and b/examples/data/dolfyn/test_data/vector_data01_func.nc differ
diff --git a/mhkit/acoustics/analysis.py b/mhkit/acoustics/analysis.py
index 5bfe1ae9c..8eb9276ab 100644
--- a/mhkit/acoustics/analysis.py
+++ b/mhkit/acoustics/analysis.py
@@ -201,21 +201,13 @@ def sound_pressure_spectral_density(
     fs: Union[int, float],
     bin_length: Union[int, float] = 1,
     fft_length: Optional[Union[int, float]] = None,
-    rms: bool = True,
+    pct_overlap: float = 0.5,
 ) -> xr.DataArray:
     """
     Calculates the sound pressure spectral density (SPSD) from audio
     samples split into FFTs with a specified bin length in seconds,
-    using Hanning windowing with 50% overlap.
-
-    By default (`rms=True`), this function returns the mean-squared SPSD,
-    which found by scaling the total spectral power (frequency domain) with
-    the time-domain averaged mean-squared power, in accordance with
-    Parseval's theorem.
-
-    Setting `rms=False` disables this scaling and returns the
-    power spectral density of the sound pressure signal.
-    Both forms have units of [Pa^2/Hz] or [V^2/Hz].
+    using Hanning windowing with 50% overlap. Uses Welch's method to
+    average overlapping FFT windows within each bin.
 
     Parameters
     ----------
@@ -227,14 +219,13 @@ def sound_pressure_spectral_density(
         Length of time in seconds to create FFTs. Default: 1.
     fft_length: int or float, optional
         Length of FFT to use. If None, uses bin_length * fs. Default: None.
-    rms: bool
-        If True, calculates the mean-squared SPSD. Set to False to
-        calculate standard SPSD. Default: True.
+    pct_overlap: float
+        Percentage of overlap between FFT segments. Default: 0.5 (50%).
 
     Returns
     -------
-    spsd: xarray.DataArray (time, freq)
-        Spectral density [Pa^2/Hz] indexed by time and frequency
+    spsd: xarray.DataArray (time_psd, freq)
+        Spectral density [Pa^2/Hz] or [V^2/Hz] indexed by time and frequency
     """
 
     # Type checks
@@ -256,36 +247,21 @@ def sound_pressure_spectral_density(
         nfft = nbin
 
     # Use dolfyn PSD functionality
-    binner = VelBinner(n_bin=nbin, fs=fs, n_fft=nfft)
-    # Always 50% overlap if numbers reshape perfectly
-    # Mean square sound pressure
-    psd = binner.power_spectral_density(pressure, freq_units="Hz")
-    if rms:
-        # Scale PSD by mean square of original signal
-        samples = (
-            binner.reshape(pressure.values) - binner.mean(pressure.values)[:, None]
-        )
-        # mean squared pressure ("power") in time domain
-        t_power = np.sum(samples**2, axis=1) / nbin
-        # pressure ("power") in frequency domain
-        f_power = psd.sum("freq") * (fs / nbin)
-        # Adjust the amplitude of the PSD to return the mean-squared PSD
-        # based on Parseval's theorem: total energy computed in the time
-        # domain must equal the total energy computed in the frequency domain
-        psd = psd * t_power[:, None] / f_power
-        long_name = "Mean Square Sound Pressure Spectral Density"
-    else:
-        long_name = "Sound Pressure Spectral Density"
+    binner = VelBinner(fs=fs, n_bin=nbin, n_fft=nfft)
+    # Sound pressure spectral densities with 50% overlap between FFT windows
+    psd = binner.power_spectral_density(
+        pressure, freq_units="Hz", window="hann", pct_overlap=pct_overlap
+    )
 
     out = xr.DataArray(
         psd,
-        coords={"time": psd["time"], "freq": psd["freq"]},
+        coords={"time_psd": psd["time_psd"], "freq": psd["freq"]},
         attrs={
             "units": pressure.units + "^2/Hz",
-            "long_name": long_name,
+            "long_name": "Mean Square Sound Pressure Spectral Density",
             "fs": fs,
             "bin_length": bin_length,
-            "overlap": "50%",
+            "overlap": f"{pct_overlap*100}%",
             "n_fft": nfft,
         },
     )
@@ -304,7 +280,7 @@ def apply_calibration(
 
     Parameters
     ----------
-    spsd: xarray.DataArray (time, freq)
+    spsd: xarray.DataArray (time_psd, freq)
         Mean square sound pressure spectral density in V^2/Hz.
     sensitivity_curve: xarray.DataArray (freq)
         Calibrated sensitivity curve in units of dB rel 1 V^2/uPa^2.
@@ -737,10 +713,11 @@ def _convert_to_band_spectral_density(
         partial_pts=partial_pts,
         weights=weights,
     )
+    time_dim = spsd.dims[0]
     out = xr.DataArray(
         band_spsd,
-        coords={"time": spsd["time"], "freq": bands[:, 1]},
-        dims=["time", "freq"],
+        coords={time_dim: spsd[time_dim], "freq": bands[:, 1]},
+        dims=[time_dim, "freq"],
         attrs=spsd.attrs,
     )
 
diff --git a/mhkit/acoustics/sel.py b/mhkit/acoustics/sel.py
index 9083dc163..fd262c935 100644
--- a/mhkit/acoustics/sel.py
+++ b/mhkit/acoustics/sel.py
@@ -91,7 +91,7 @@ def sound_exposure_level(
 
     Parameters
     ----------
-    spsd: xarray.DataArray (time, freq)
+    spsd: xarray.DataArray (time_psd, freq)
         Sound pressure spectral density in [Pa^2/Hz] with a bin length
         equal to the time over which sound exposure should be computed.
     group: str
@@ -136,9 +136,10 @@ def sound_exposure_level(
     # Sound exposure level (L_{E,p}) = (L_{p,rms} + 10log10(t))
     sel = 10 * np.log10(exposure / reference) + 10 * np.log10(spsd.attrs["bin_length"])
 
+    time_dim = spsd.dims[0]
     out = xr.DataArray(
         sel.astype(np.float32),
-        coords={"time": spsd["time"]},
+        coords={time_dim: spsd[time_dim]},
         attrs={
             "units": "dB re 1 uPa^2 s",
             "long_name": long_name,
diff --git a/mhkit/acoustics/spl.py b/mhkit/acoustics/spl.py
index c553d8dbf..23a8b48c9 100644
--- a/mhkit/acoustics/spl.py
+++ b/mhkit/acoustics/spl.py
@@ -54,7 +54,7 @@ def _argument_check(spsd, fmin, fmax):
     _check_numeric(fmax, "fmax")
 
     # Ensure 'freq' and 'time' dimensions are present
-    if ("freq" not in spsd.dims) or ("time" not in spsd.dims):
+    if ("freq" not in spsd.dims) or ("time" not in spsd.dims[0]):
         raise ValueError("'spsd' must have 'time' and 'freq' as dimensions.")
 
     # Check that 'fs' (sampling frequency) is available in attributes
@@ -89,7 +89,7 @@ def sound_pressure_level(
 
     Parameters
     ----------
-    spsd: xarray.DataArray (time, freq)
+    spsd: xarray.DataArray (time_psd, freq)
         Mean square sound pressure spectral density in [Pa^2/Hz]
     fmin: int
         Lower frequency band limit (lower limit of the hydrophone). Default: 10 Hz
@@ -116,9 +116,10 @@ def sound_pressure_level(
     # Mean square sound pressure level
     mspl = 10 * np.log10(pressure_squared / reference)
 
+    time_dim = spsd.dims[0]
     out = xr.DataArray(
         mspl.astype(np.float32),
-        coords={"time": spsd["time"]},
+        coords={time_dim: spsd[time_dim]},
         attrs={
             "units": "dB re 1 uPa",
             "long_name": "Sound Pressure Level",
@@ -138,7 +139,7 @@ def _band_sound_pressure_level(spsd: xr.DataArray, octave: int, base: int):
 
     Parameters
     ----------
-    spsd: xarray.DataArray (time, freq)
+    spsd: xarray.DataArray (time_psd, freq)
         Mean square sound pressure spectral density in [Pa^2/Hz]
     octave: int
         Octave subdivision (1 = full octave, 3 = third-octave, etc.)
@@ -191,13 +192,14 @@ def _band_sound_pressure_level(spsd: xr.DataArray, octave: int, base: int):
             )
 
     # Mean square sound pressure level in dB rel 1 uPa
+    time_dim = spsd.dims[0]
     out_spl = xr.DataArray(
         10 * np.log10(out_sp / reference),
         coords={
-            "time": spsd["time"],
+            time_dim: spsd[time_dim],
             "freq_bins": bands[:, 1],
         },
-        dims=["time", "freq_bins"],
+        dims=[time_dim, "freq_bins"],
     )
     return out_spl
 
@@ -211,7 +213,7 @@ def third_octave_sound_pressure_level(
 
     Parameters
     ----------
-    spsd: xarray.DataArray (time, freq)
+    spsd: xarray.DataArray (time_psd, freq)
         Mean square sound pressure spectral in [Pa^2/Hz].
     fmin: int
         Lower frequency band limit (lower limit of the hydrophone).
@@ -253,7 +255,7 @@ def decidecade_sound_pressure_level(
 
     Parameters
     ----------
-    spsd: xarray.DataArray (time, freq)
+    spsd: xarray.DataArray (time_psd, freq)
         Mean square sound pressure spectral density in [Pa^2/Hz].
     fmin: int
         Lower frequency band limit (lower limit of the hydrophone).
diff --git a/mhkit/acoustics/spsdl.py b/mhkit/acoustics/spsdl.py
index 70b41f024..efaa43a69 100644
--- a/mhkit/acoustics/spsdl.py
+++ b/mhkit/acoustics/spsdl.py
@@ -29,7 +29,7 @@ def sound_pressure_spectral_density_level(spsd: xr.DataArray) -> xr.DataArray:
 
     Parameters
     ----------
-    spsd: xarray.DataArray (time, freq)
+    spsd: xarray.DataArray (time_psd, freq)
         Mean square sound pressure spectral density in Pa^2/Hz
 
     Returns
@@ -47,7 +47,7 @@ def sound_pressure_spectral_density_level(spsd: xr.DataArray) -> xr.DataArray:
 
     spsdl = xr.DataArray(
         lpf.astype(np.float32),
-        coords={"time": spsd["time"], "freq": spsd["freq"]},
+        coords=spsd.coords,
         attrs={
             "units": "dB re 1 uPa^2/Hz",
             "long_name": "Sound Pressure Spectral Density Level",
@@ -260,7 +260,7 @@ def band_aggregate(
         raise ValueError("'fmax' must be greater than 'fmin'.")
 
     # Value checks
-    if ("freq" not in spsdl.dims) or ("time" not in spsdl.dims):
+    if ("freq" not in spsdl.dims) or ("time" not in spsdl.dims[0]):
         raise ValueError("'spsdl' must have 'time' and 'freq' as dimensions.")
 
     # Validate method and get method_name and method_arg
@@ -307,7 +307,7 @@ def time_aggregate(
 
     Parameters
     ----------
-    spsdl: xarray.DataArray (time, freq)
+    spsdl: xarray.DataArray (time_psd, freq)
         Mean square sound pressure spectral density level in dB rel 1 uPa^2/Hz
     window: int
         Time in seconds to subdivide spectral density level into. Default: 60 s.
@@ -322,19 +322,6 @@ def time_aggregate(
         Time-averaged sound pressure spectral density level [dB re 1 uPa^2/Hz]
         indexed by time and frequency
     """
-    warnings.warn(
-        "The 'time_aggregate' function is deprecated and will be removed in a future release. "
-        "Please use one of the following alternatives instead to convert the SPSD to the "
-        "appropriate time-aggregated form before calculating the SPSDL using "
-        "'sound_pressure_spectral_density_level':\n"
-        "- For time-averaged SPSDLs, use the 'mhkit.acoustics.time_average' function.\n"
-        "- For time-summed SPSDLs, use the 'mhkit.acoustics.time_summation' function.\n"
-        "If you are using this function for a different purpose, please reach out to the MHKiT "
-        "developers to discuss how we can support your use case with a more specific function.",
-        DeprecationWarning,
-        stacklevel=2,
-    )
-
     # Type checks
     if not isinstance(spsdl, xr.DataArray):
         raise TypeError("'spsdl' must be an xarray.DataArray.")
@@ -342,7 +329,7 @@ def time_aggregate(
         raise TypeError("'window' must be an integer.")
     if not isinstance(method, (str, dict)):
         raise TypeError("'method' must be a string or dictionary.")
-    if "time" not in spsdl.dims:
+    if "time" not in spsdl.dims[0]:
         raise ValueError("'spsdl' must have 'time' dimension.")
 
     # Value checks
@@ -350,15 +337,16 @@ def time_aggregate(
         raise ValueError("'window' must be a positive integer.")
 
     # Ensure 'time' coordinate is of datetime64 dtype
-    if not np.issubdtype(spsdl["time"].dtype, np.datetime64):
-        raise TypeError("'spsdl['time']' must be of dtype 'datetime64'.")
+    time_dim = spsdl.dims[0]
+    if not np.issubdtype(spsdl[time_dim].dtype, np.datetime64):
+        raise TypeError("spsdl 'time' must be of dtype 'datetime64'.")
 
     # Validate method and get method_name and method_arg
     method_name, method_arg = _validate_method(method)
 
     window = np.timedelta64(window, "s")
     time_bins_lower = np.arange(
-        spsdl["time"][0].values, spsdl["time"][-1].values, window
+        spsdl[time_dim][0].values, spsdl[time_dim][-1].values, window
     )
     time_bins_upper = time_bins_lower + window
     time_bins = np.append(time_bins_lower, time_bins_upper[-1])
@@ -367,7 +355,7 @@ def time_aggregate(
     )
 
     # Use xarray binning methods
-    spsdl_group = spsdl.groupby_bins("time", time_bins, labels=center_time)
+    spsdl_group = spsdl.groupby_bins(time_dim, time_bins, labels=center_time)
 
     # Handle method being a string or a dict
     if isinstance(method, str):
@@ -388,20 +376,23 @@ def time_aggregate(
     if method == "quantile":
         out = out.drop_vars("quantile")
 
+    out = out.rename({"time_psd_bins": "time_bins"})
     return out
 
 
 def time_average(spsdl, window):
     """
-    Reorganizes spectral density level frequency tensor into time windows and takes the
-    spectral average of all of the inputs along the time dimension. This is effectively
-    time-averaging the original SPSDs.
-    Note: 'window' must be larger than the original 'bin_length' of the SPSD
+    Reorganizes spectral density level frequency tensor into time windows and computes
+    the energy-averaged SPSDL for each window. Values are converted from dB to linear
+    power, averaged across the window, then converted back to dB. This is equivalent
+    to Welch's method: it produces the same result as recomputing the SPSD from the
+    original time series using 'bin_length=window'.
+    Note: 'window' must be larger than the original 'bin_length' of the SPSD.
 
     Parameters
     ----------
     spsdl: xarray.DataArray
-        Sound pressure spectral density level with dimensions (time, freq)
+        Sound pressure spectral density level with dimensions (time_psd, freq)
     window: int
         Time in seconds to group spectral density level into.
 
@@ -413,12 +404,14 @@ def time_average(spsdl, window):
     """
 
     def spectral_average(x):
+        # time dimension name
+        time_dim = x.dims[0]
         # Convert value in decibels to absolute magnitude, still relevant to original units
         magnitude = 10 ** (x / 10)
         # Sum energy in each time bin
-        summed_magnitude = magnitude.sum("time")
+        summed_magnitude = magnitude.sum(time_dim)
         # Take average
-        average_magnitude = summed_magnitude / magnitude["time"].size
+        average_magnitude = summed_magnitude / magnitude[time_dim].size
         # Convert back to decibels
         result = 10 * np.log10(average_magnitude)
 
@@ -429,16 +422,19 @@ def spectral_average(x):
 
 def time_summation(spsdl, window):
     """
-    Reorganizes spectral density level frequency tensor into time windows and takes the
-    spectral sum of each window. This is the equivalent of recalculating the SPSD using
-    `mhkit.acoustics.sound_presssure_spectral_density` with 'bin_length=window' instead
-    of the original 'bin_length'.
-    Note: 'window' must be larger than the original 'bin_length' of the SPSD
+    Reorganizes spectral density level frequency tensor into time windows and computes
+    the spectral sum for each window. Values are converted from dB to linear power,
+    summed across the window, then converted back to dB. This represents the total
+    accumulated spectral energy within each window and is proportional to N times the
+    window-averaged SPSDL (where N is the number of input bins per window). It is NOT
+    equivalent to recomputing the SPSD with a longer 'bin_length'; use 'time_average'
+    for that purpose.
+    Note: 'window' must be larger than the original 'bin_length' of the SPSD.
 
     Parameters
     ----------
     spsdl: xarray.DataArray
-        Sound pressure spectral density level with dimensions (time, freq)
+        Sound pressure spectral density level with dimensions (time_psd, freq)
     window: int
         Time in seconds to group spectral density level into.
 
@@ -450,10 +446,12 @@ def time_summation(spsdl, window):
     """
 
     def spectral_sum(x):
+        # time dimension name
+        time_dim = x.dims[0]
         # Convert value in decibels to absolute magnitude, still relevant to original units
         magnitude = 10 ** (x / 10)
         # Sum energy in each time bin
-        summed_magnitude = magnitude.sum("time")
+        summed_magnitude = magnitude.sum(time_dim)
         # Convert back to decibels
         result = 10 * np.log10(summed_magnitude)
 
diff --git a/mhkit/dolfyn/adp/clean.py b/mhkit/dolfyn/adp/clean.py
index 6011c7946..99f577140 100644
--- a/mhkit/dolfyn/adp/clean.py
+++ b/mhkit/dolfyn/adp/clean.py
@@ -5,7 +5,7 @@
 import numpy as np
 import xarray as xr
 from scipy.signal import medfilt
-from ..tools.misc import medfiltnan
+from ..tools import medfiltnan
 from ..rotate.api import rotate2
 from ..rotate.base import quaternion2orient
 
diff --git a/mhkit/dolfyn/adp/turbulence.py b/mhkit/dolfyn/adp/turbulence.py
index 2707edae5..66849dd6d 100644
--- a/mhkit/dolfyn/adp/turbulence.py
+++ b/mhkit/dolfyn/adp/turbulence.py
@@ -370,10 +370,10 @@ def doppler_noise_level(self, psd, pct_fN=0.8):
         N2 = psd.sel(freq=f_range) * psd.freq.sel(freq=f_range)
         noise_level = np.sqrt(N2.mean(dim="freq"))
 
-        time_coord = psd.dims[0]  # no reason this shouldn't be time or time_b5
+        time_dim = psd.dims[-2]
         return xr.DataArray(
-            noise_level.values.astype("float32"),
-            coords={time_coord: psd.coords[time_coord]},
+            noise_level.values,
+            coords={time_dim: psd[time_dim]},
             attrs={
                 "units": "m s-1",
                 "long_name": "Doppler Noise Level",
@@ -568,9 +568,9 @@ def _beam_variance(self, ds, time, noise, beam_order, n_beams):
             bp2_[i] = np.nanvar(self.reshape(beam_vel[beam]), axis=-1)
 
         # Remove doppler_noise
-        if type(noise) == type(ds["vel"]):
-            noise = noise.values
-        bp2_ -= noise**2
+        if type(noise) is type(ds["vel"]):
+            noise = self._interp_noise(noise, self.mean(ds["time"].values))
+        bp2_ -= noise[..., :] ** 2
 
         return bp2_
 
@@ -623,7 +623,7 @@ def reynolds_stress_4beam(self, ds, noise=None, orientation=None, beam_angle=Non
         vpwp_ = (bp2_[2] - bp2_[3]) / denm
 
         return xr.DataArray(
-            np.stack([upwp_ * np.nan, upwp_, vpwp_]).astype("float32"),
+            np.stack([upwp_ * np.nan, upwp_, vpwp_]),
             coords={
                 "tau": ["upvp_", "upwp_", "vpwp_"],
                 "range": ds["range"],
@@ -739,7 +739,7 @@ def stress_tensor_5beam(
         ) / denm
 
         tke_vec = xr.DataArray(
-            np.stack([upup_, vpvp_, wpwp_]).astype("float32"),
+            np.stack([upup_, vpvp_, wpwp_]),
             coords={
                 "tke": ["upup_", "vpvp_", "wpwp_"],
                 "range": ds["range"],
@@ -759,9 +759,7 @@ def stress_tensor_5beam(
             # Guerra Thomson calculate u'v' bar from from the covariance of u' and v'
             ds.velds.rotate2("inst")
             vel = self.detrend(ds.vel.values)
-            upvp_ = np.nanmean(vel[0] * vel[1], axis=-1, dtype=np.float64).astype(
-                np.float32
-            )
+            upvp_ = np.nanmean(vel[0] * vel[1], axis=-1)
 
             upwp_ = (
                 sin(th) ** 5 * cos(th) * (bp2_[1] - bp2_[0])
@@ -778,7 +776,7 @@ def stress_tensor_5beam(
             ) / denm
 
             stress_vec = xr.DataArray(
-                np.stack([upvp_, upwp_, vpwp_]).astype("float32"),
+                np.stack([upvp_, upwp_, vpwp_]),
                 coords={
                     "tau": ["upvp_", "upwp_", "vpwp_"],
                     "range": ds["range"],
@@ -938,6 +936,14 @@ def dissipation_rate_LT83(
         idx = np.where((freq_range[0] < freq) & (freq < freq_range[1]))
         idx = idx[0]
 
+        # Interpolate U_mag to the same time dimension as PSD
+        umag_time_dim = U_mag.dims[-1]
+        # If overlap is not 0%
+        if psd["time_psd"].size != U_mag[umag_time_dim].size:
+            U_mag = U_mag.interp({umag_time_dim: psd["time_psd"].values}).values
+        else:
+            U_mag = U_mag.values
+
         # Set the correct magnitude whether the frequency is in Hz or rad/s
         if freq.units == "Hz":
             U = U_mag / (2 * np.pi)
@@ -947,12 +953,10 @@ def dissipation_rate_LT83(
         # Use the transverse value derived from the Kolmogorov constant
         a = k_constant
         # Calculate dissipation
-        out = (psd[:, idx] * freq[idx] ** (5 / 3) / a).mean(axis=-1) ** (
-            3 / 2
-        ) / U.values
+        out = (psd[:, idx] * freq[idx] ** (5 / 3) / a).mean(axis=-1) ** (3 / 2) / U
 
         return xr.DataArray(
-            out.astype("float32"),
+            out,
             attrs={
                 "units": "m2 s-3",
                 "long_name": "TKE Dissipation Rate",
@@ -1037,8 +1041,8 @@ def dissipation_rate_SF(self, vel_raw, r_range=[1, 5]):
         # bm shape is [range, ensemble time, 'data within ensemble']
         bm = self.demean(vel_raw.values)  # take out the ensemble mean
 
-        e = np.empty(bm.shape[:2], dtype="float32") * np.nan
-        n = np.empty(bm.shape[:2], dtype="float32") * np.nan
+        e = np.empty(bm.shape[:2]) * np.nan
+        n = np.empty(bm.shape[:2]) * np.nan
 
         bin_size = round(np.diff(rng)[0], 3)
         R = int(r_range[0] / bin_size)
@@ -1076,7 +1080,7 @@ def dissipation_rate_SF(self, vel_raw, r_range=[1, 5]):
         noise = np.sqrt(n / 2)
 
         epsilon = xr.DataArray(
-            epsilon.astype("float32"),
+            epsilon,
             coords={vel_raw.dims[0]: rng, vel_raw.dims[1]: time},
             dims=vel_raw.dims,
             attrs={
@@ -1089,7 +1093,7 @@ def dissipation_rate_SF(self, vel_raw, r_range=[1, 5]):
         )
 
         noise = xr.DataArray(
-            noise.astype("float32"),
+            noise,
             coords={vel_raw.dims[0]: rng, vel_raw.dims[1]: time},
             attrs={
                 "units": "m s-1",
@@ -1098,7 +1102,7 @@ def dissipation_rate_SF(self, vel_raw, r_range=[1, 5]):
         )
 
         SF = xr.DataArray(
-            D.astype("float32"),
+            D,
             coords={vel_raw.dims[0]: rng, "range_SF": r, vel_raw.dims[1]: time},
             attrs={
                 "units": "m2 s-2",
diff --git a/mhkit/dolfyn/adv/api.py b/mhkit/dolfyn/adv/api.py
index 7d4c13757..880fd45e6 100644
--- a/mhkit/dolfyn/adv/api.py
+++ b/mhkit/dolfyn/adv/api.py
@@ -3,4 +3,4 @@
 from . import clean
 from .motion import correct_motion
 from ..velocity import VelBinner
-from .turbulence import turbulence_statistics, ADVBinner
+from .turbulence import ADVBinner
diff --git a/mhkit/dolfyn/adv/clean.py b/mhkit/dolfyn/adv/clean.py
index 09b5010b4..87698df8e 100644
--- a/mhkit/dolfyn/adv/clean.py
+++ b/mhkit/dolfyn/adv/clean.py
@@ -3,7 +3,7 @@
 import warnings
 import numpy as np
 from ..velocity import VelBinner
-from ..tools.misc import group, slice1d_along_axis
+from ..tools import group, slice1d_along_axis
 
 sin = np.sin
 cos = np.cos
diff --git a/mhkit/dolfyn/adv/turbulence.py b/mhkit/dolfyn/adv/turbulence.py
index 8c73c39bc..209b6be6d 100644
--- a/mhkit/dolfyn/adv/turbulence.py
+++ b/mhkit/dolfyn/adv/turbulence.py
@@ -1,54 +1,44 @@
 import numpy as np
 from ..velocity import VelBinner
 import warnings
-from ..tools.misc import slice1d_along_axis, _nans_like
+from ..tools import slice1d_along_axis, _nans_like
 from scipy.special import cbrt
 import xarray as xr
 
 
 class ADVBinner(VelBinner):
-    """
-    A class that builds upon `VelBinner` for calculating turbulence
-    statistics and velocity spectra from ADV data.
-
-    Parameters
-    ----------
-    n_bin : int
-      The length of each bin, in number of points, for this averaging
-      operator.
-    fs : int
-      Instrument sampling frequency in Hz
-    n_fft : int
-      The length of the FFT for computing spectra (must be <= `n_bin`).
-      Optional, default `n_fft` = `n_bin`
-    n_fft_coh : int
-      Number of data points to use for coherence and cross-spectra FFT's.
-      Optional, default `n_fft_coh` = `n_fft`
-    noise : float or array-like
-      Instrument noise level in same units as velocity. Typically found from
-      :func:`doppler_noise_level <mhkit.dolfyn.adv.turbulence.ADVBinner.doppler_noise_level>`.
-      Default: None.
-    """
-
-    def __call__(self, ds, freq_units="rad/s", window="hann"):
-        out = type(ds)()
-        out = self.bin_average(ds, out)
-
-        out["tke_vec"] = self.turbulent_kinetic_energy(ds["vel"])
-        out["stress_vec"] = self.reynolds_stress(ds["vel"])
-
-        out["psd"] = self.power_spectral_density(
-            ds["vel"], window=window, freq_units=freq_units
-        )
-        for key in list(ds.attrs.keys()):
-            if "config" in key:
-                ds.attrs.pop(key)
-        out.attrs = ds.attrs
-        out.attrs["n_bin"] = self.n_bin
-        out.attrs["n_fft"] = self.n_fft
-        out.attrs["n_fft_coh"] = self.n_fft_coh
+    def __init__(
+        self,
+        n_bin,
+        fs,
+        n_fft=None,
+        n_fft_coh=None,
+        noise=None,
+    ):
+        """
+        A class that builds upon `VelBinner` for calculating turbulence
+        statistics and velocity spectra from ADV data.
+
+        Parameters
+        ----------
+        n_bin : int
+          The length of each bin, in number of points, for this averaging
+          operator.
+        fs : int
+          Instrument sampling frequency in Hz
+        n_fft : int
+          The length of the FFT for computing spectra (must be <= `n_bin`).
+          Default = `n_fft` = `n_bin`
+        n_fft_coh : int
+          Number of data points to use for coherence and cross-spectra FFT's.
+          Default = `n_fft_coh` = `n_fft`
+        noise : float or array-like
+          Instrument noise level in same units as velocity. Typically found from
+          :func:`doppler_noise_level <mhkit.dolfyn.adv.turbulence.ADVBinner.doppler_noise_level>`.
+          Default = None
+        """
 
-        return out
+        VelBinner.__init__(self, n_bin, fs, n_fft, n_fft_coh, noise)
 
     def reynolds_stress(self, veldat, detrend=True):
         """
@@ -77,7 +67,7 @@ def reynolds_stress(self, veldat, detrend=True):
         time = self.mean(veldat["time"].values)
         vel = veldat.values
 
-        out = np.empty(self._outshape(vel[:3].shape)[:-1], dtype=np.float32)
+        out = np.empty(self._outshape(vel[:3].shape)[:-1])
 
         if detrend:
             vel = self.detrend(vel)
@@ -85,12 +75,10 @@ def reynolds_stress(self, veldat, detrend=True):
             vel = self.demean(vel)
 
         for idx, p in enumerate(self._cross_pairs):
-            out[idx] = np.nanmean(vel[p[0]] * vel[p[1]], -1, dtype=np.float64).astype(
-                np.float32
-            )
+            out[idx] = np.nanmean(vel[p[0]] * vel[p[1]], -1)
 
         da = xr.DataArray(
-            out.astype("float32"),
+            out,
             dims=veldat.dims,
             attrs={"units": "m2 s-2", "long_name": "Specific Reynolds Stress Vector"},
         )
@@ -107,6 +95,7 @@ def cross_spectral_density(
         window="hann",
         n_bin=None,
         n_fft_coh=None,
+        pct_overlap=0,
     ):
         """
         Calculate the cross-spectral density of velocity components.
@@ -120,13 +109,19 @@ def cross_spectral_density(
           (`f` or :math:`\\omega`)
         fs : float (optional)
           The sample rate. Default = `self.fs`
-        window : string or array
-          Specify the window function.
-         Options: 1, None, 'hann', 'hamm'
+        window: str
+          Type of window to apply to each FFT segment.
+          Options ('boxcar', 'hann', 'hamming', 'blackman', 'bartlett').
+          Default: 'hann'.
         n_bin : int (optional)
           The bin-size. Default = `self.n_bin`
         n_fft_coh : int (optional)
           The fft size. Default = `self.n_fft_coh`
+        pct_overlap : float (optional)
+          Fractional overlap between consecutive sliding windows, in [0, 1).
+          Controls both the bin-to-bin advance and the within-bin FFT overlap
+          passed to scipy.signal.welch. Industry standard is 50%.
+          Default = 0 (0% overlap).
 
         Returns
         -------
@@ -141,8 +136,20 @@ def cross_spectral_density(
             raise ValueError("`freq_units` should be one of 'Hz' or 'rad/s'")
 
         fs_in = self._parse_fs(fs)
+        n_bin = self._parse_nbin(n_bin)
         n_fft = self._parse_nfft_coh(n_fft_coh)
-        time = self.mean(veldat["time"].values)
+        step = int((1 - pct_overlap) * n_bin)
+        if pct_overlap > 0:
+            warnings.warn(
+                "The PSD time coordinate differs from other VelBinner outputs when "
+                "pct_overlap > 0. Timestamps represent the center of each overlapping "
+                f"sliding window (step={step} samples, pct_overlap={pct_overlap}).",
+                UserWarning,
+                stacklevel=2,
+            )
+
+        # Get time coord before changing veldat from xarray to numpy array
+        time_coord = self.mean(veldat["time"].values, step=step, n_bin=n_bin)
         veldat = veldat.values
         if len(np.shape(veldat)) != 2:
             raise Exception(
@@ -151,7 +158,7 @@ def cross_spectral_density(
             )
 
         out = np.empty(
-            self._outshape_fft(veldat[:3].shape, n_fft=n_fft, n_bin=n_bin),
+            self._outshape_fft(veldat[:3].shape, n_fft=n_fft, n_bin=n_bin, step=step),
             dtype="complex",
         )
 
@@ -164,31 +171,32 @@ def cross_spectral_density(
             fs = fs_in
             freq_units = "Hz"
             units = "m2 s-2 Hz-1"
-        coh_freq = xr.DataArray(
-            self._fft_freq(fs=fs_in, units=freq_units, n_fft=n_fft, coh=True),
-            dims=["coh_freq"],
-            name="coh_freq",
-            attrs={
-                "units": freq_units,
-                "long_name": "FFT Frequency Vector",
-                "coverage_content_type": "coordinate",
-            },
-        ).astype("float32")
 
         for ip, ipair in enumerate(self._cross_pairs):
-            out[ip] = self._csd_base(
+            f, out[ip] = self._csd_base(
                 veldat[ipair[0]],
                 veldat[ipair[1]],
                 fs=fs,
                 window=window,
                 n_bin=n_bin,
                 n_fft=n_fft,
+                pct_overlap=pct_overlap,
             )
+        coh_freq = xr.DataArray(
+            f,
+            dims=["coh_freq"],
+            name="coh_freq",
+            attrs={
+                "units": freq_units,
+                "long_name": "FFT Frequency Vector",
+                "coverage_content_type": "coordinate",
+            },
+        )
 
         csd = xr.DataArray(
             out.astype("complex64"),
-            coords={"C": self.C, "time": time, "coh_freq": coh_freq},
-            dims=["C", "time", "coh_freq"],
+            coords={"C": self.C, "time_psd": time_coord, "coh_freq": coh_freq},
+            dims=["C", "time_psd", "coh_freq"],
             attrs={
                 "units": units,
                 "n_fft_coh": n_fft,
@@ -262,9 +270,10 @@ def doppler_noise_level(self, psd, pct_fN=0.8):
         N2 = psd.sel(freq=f_range) * psd.freq.sel(freq=f_range)
         noise_level = np.sqrt(N2.mean(dim="freq"))
 
+        time_dim = psd.dims[-2]
         return xr.DataArray(
-            noise_level.values.astype("float32"),
-            coords={"S": psd["S"], "time": psd["time"]},
+            noise_level.values,
+            coords={"S": psd["S"], time_dim: psd[time_dim]},
             attrs={
                 "units": "m/s",
                 "long_name": "Doppler Noise Level",
@@ -404,8 +413,6 @@ def dissipation_rate_LT83(
             raise TypeError("`psd` must be an instance of `xarray.DataArray`.")
         if len(U_mag.shape) != 1:
             raise Exception("U_mag should be 1-dimensional (time).")
-        if len(psd["time"]) != len(U_mag["time"]):
-            raise Exception("`U_mag` should be from ensembled-averaged dataset.")
         if not hasattr(freq_range, "__iter__") or len(freq_range) != 2:
             raise ValueError("`freq_range` must be an iterable of length 2.")
         # if the spectra are 1D, then the first dimension should be time (any length)
@@ -429,6 +436,15 @@ def dissipation_rate_LT83(
         idx = np.where((freq_range[0] < freq) & (freq < freq_range[1]))
         idx = idx[0]
 
+        # Interpolate U_mag to the same time dimension as PSD
+        umag_time_dim = U_mag.dims[-1]
+        psd_time_dim = psd.dims[-2]
+        # If overlap is not 0%
+        if psd[psd_time_dim].size != U_mag[umag_time_dim].size:
+            U_mag = U_mag.interp({umag_time_dim: psd[psd_time_dim].values}).values
+        else:
+            U_mag = U_mag.values
+
         # Set the correct magnitude whether the frequency is in Hz or rad/s
         if freq.units == "Hz":
             U = U_mag / (2 * np.pi)
@@ -448,7 +464,7 @@ def dissipation_rate_LT83(
         ) ** (3 / 2) / U
 
         return xr.DataArray(
-            out.astype("float32"),
+            out,
             attrs={
                 "units": "m2 s-3",
                 "long_name": "TKE Dissipation Rate",
@@ -505,13 +521,13 @@ def dissipation_rate_SF(self, vel_raw, U_mag, fs=None, freq_range=[2.0, 4.0]):
             lag = U_mag.values[slc[:-1]] / fs * np.arange(up.shape[0])
             DAA = _nans_like(lag)
             for L in range(int(fs / freq_range[1]), int(fs / freq_range[0])):
-                DAA[L] = np.nanmean((up[L:] - up[:-L]) ** 2, dtype=np.float64)
+                DAA[L] = np.nanmean((up[L:] - up[:-L]) ** 2)
             cv2 = DAA / (lag ** (2 / 3))
             cv2m = np.median(cv2[np.logical_not(np.isnan(cv2))])
             out[slc[:-1]] = (cv2m / 2.1) ** (3 / 2)
 
         return xr.DataArray(
-            out.astype("float32"),
+            out,
             coords=U_mag.coords,
             dims=U_mag.dims,
             attrs={
@@ -597,9 +613,14 @@ def dissipation_rate_TE01(self, dat_raw, dat_avg, freq_range=[6.28, 12.57]):
             raise TypeError("`dat_avg` must be an instance of `xarray.Dataset`.")
         if not hasattr(freq_range, "__iter__") or len(freq_range) != 2:
             raise ValueError("`freq_range` must be an iterable of length 2.")
-
+        if "tke_vec" not in dat_avg:
+            raise Exception(
+                "The bin-averaged dataset must have the `tke_vec` variable "
+                "(i.e., calculated from `ADVBinner.calc_turbulence` or "
+                "`VelBinner.bin_average`)."
+            )
         # Assign local names
-        U_mag = dat_avg.velds.U_mag.values
+        U_mag = dat_avg.velds.U_mag
         I_tke = dat_avg.velds.I_tke.values
         theta = np.angle(dat_avg.velds.U.values) - self._up_angle(
             dat_raw.velds.U.values
@@ -610,9 +631,18 @@ def dissipation_rate_TE01(self, dat_raw, dat_avg, freq_range=[6.28, 12.57]):
         alpha = 1.5
         intgrl = self._integral_TE01(I_tke, theta)
 
+        # Interpolate PSD to the same time dimension as dat_avg
+        umag_time_dim = U_mag.dims[-1]
+        psd_time_dim = dat_avg["psd"].dims[-2]
+        # If overlap is not 0%
+        if dat_avg[psd_time_dim].size != U_mag[umag_time_dim].size:
+            psd = dat_avg["psd"].interp({psd_time_dim: dat_avg[umag_time_dim]}).values
+        else:
+            psd = dat_avg["psd"].values
+
         # Index data to be used
         inds = (freq_range[0] < freq) & (freq < freq_range[1])
-        psd = dat_avg["psd"][..., inds].values
+        psd = psd[..., inds]
         freq = freq[inds].reshape([1] * (dat_avg["psd"].ndim - 2) + [sum(inds)])
 
         # Estimate values
@@ -620,18 +650,18 @@ def dissipation_rate_TE01(self, dat_raw, dat_avg, freq_range=[6.28, 12.57]):
         out = (
             np.nanmean((psd[0] + psd[1]) * freq ** (5 / 3), -1)
             / (21 / 55 * alpha * intgrl)
-        ) ** (3 / 2) / U_mag
+        ) ** (3 / 2) / U_mag.values
 
         # Add w component
         out += (
             np.nanmean(psd[2] * freq ** (5 / 3), -1) / (12 / 55 * alpha * intgrl)
-        ) ** (3 / 2) / U_mag
+        ) ** (3 / 2) / U_mag.values
 
         # Average the two estimates
         out *= 0.5
 
         return xr.DataArray(
-            out.astype("float32"),
+            out,
             coords={"time": dat_avg["time"]},
             dims="time",
             attrs={
@@ -695,7 +725,7 @@ def integral_length_scales(self, a_cov, U_mag, fs=None):
         L_int = U_mag.values * T_int
 
         return xr.DataArray(
-            L_int.astype("float32"),
+            L_int,
             coords={"dir": a_cov["dir"], "time": a_cov["time"]},
             attrs={
                 "units": "m",
@@ -703,55 +733,3 @@ def integral_length_scales(self, a_cov, U_mag, fs=None):
                 "standard_name": "turbulent_mixing_length_of_sea_water",
             },
         )
-
-
-def turbulence_statistics(
-    ds_raw, n_bin, fs, n_fft=None, freq_units="rad/s", window="hann"
-):
-    """
-    Functional version of `ADVBinner` that computes a suite of turbulence
-    statistics for the input dataset, and returns a `binned` data object.
-
-    Parameters
-    ----------
-    ds_raw : xarray.Dataset
-      The raw adv datset to bin, average, and compute turbulence statistics
-      from.
-    freq_units : string
-      Frequency units of the returned spectra in either Hz or rad/s
-      (`f` or :math:`\\omega`). Default = 'rad/s'
-    window : string or array
-      The window to use for calculating spectra.
-
-    Returns
-    -------
-    ds : xarray.Dataset
-      Returns an 'binned' (i.e. 'averaged') data object. All
-      fields (variables) of the input data object are averaged in `n_bin`
-      chunks. This object also computes the following items over
-      those chunks:
-
-      - tke_vec : The energy in each component, each components is
-        alternatively accessible as:
-        :attr:`upup_ <dolfyn.velocity.Velocity.upup_>`,
-        :attr:`vpvp_ <dolfyn.velocity.Velocity.vpvp_>`,
-        :attr:`wpwp_ <dolfyn.velocity.Velocity.wpwp_>`)
-
-      - stress_vec : The Reynolds stresses, each component is
-        alternatively accessible as:
-        :attr:`upwp_ <dolfyn.data.velocity.Velocity.upwp_>`,
-        :attr:`vpwp_ <dolfyn.data.velocity.Velocity.vpwp_>`,
-        :attr:`upvp_ <dolfyn.data.velocity.Velocity.upvp_>`)
-
-      - U_std : The standard deviation of the horizontal
-        velocity `U_mag`.
-
-      - psd : DataArray containing the spectra of the velocity
-        in radial frequency units. The data-array contains:
-        - vel : the velocity spectra array (m^2/s/rad))
-        - omega : the radial frequncy (rad/s)
-    """
-
-    calculator = ADVBinner(n_bin, fs, n_fft=n_fft)
-
-    return calculator(ds_raw, freq_units=freq_units, window=window)
diff --git a/mhkit/dolfyn/binned.py b/mhkit/dolfyn/binned.py
index 2cc9e3f23..b4802e4f7 100644
--- a/mhkit/dolfyn/binned.py
+++ b/mhkit/dolfyn/binned.py
@@ -1,7 +1,7 @@
 import numpy as np
 import warnings
-from .tools.fft import fft_frequency, psd_1D, cpsd_1D, cpsd_quasisync_1D
-from .tools.misc import slice1d_along_axis, detrend_array
+from scipy import signal
+from .tools import slice1d_along_axis, detrend_array
 from .time import epoch2dt64, dt642epoch
 
 warnings.simplefilter("ignore", RuntimeWarning)
@@ -55,13 +55,16 @@ def _outshape(self, inshape, n_pad=0, n_bin=None):
         n_bin = int(self._parse_nbin(n_bin))
         return list(inshape[:-1]) + [int(inshape[-1] // n_bin), int(n_bin + n_pad)]
 
-    def _outshape_fft(self, inshape, n_fft=None, n_bin=None):
+    def _outshape_fft(self, inshape, n_fft=None, n_bin=None, step=None):
         """
         Returns `outshape` (the fft 'reshape'd shape) for an `inshape` array.
         """
         n_fft = self._parse_nfft(n_fft)
         n_bin = self._parse_nbin(n_bin)
-        return list(inshape[:-1]) + [int(inshape[-1] // n_bin), int(n_fft // 2)]
+        if step is None:
+            step = n_bin
+        n_slices = (inshape[-1] - n_bin) // step + 1
+        return list(inshape[:-1]) + [int(n_slices), int(n_fft // 2)]
 
     def _parse_fs(self, fs=None):
         if fs is None:
@@ -173,88 +176,49 @@ def _new_coords(self, array):
 
         return dims_list, coords_dict
 
-    def reshape(self, arr, n_pad=0, n_bin=None):
+    def reshape(self, arr, step=None, n_bin=None):
         """
-        Reshape the array `arr` to shape (...,n,n_bin+n_pad).
+        Reshape the array `arr` into sliding windows of shape (..., n_slices, n_bin).
 
         Parameters
         ----------
         arr : numpy.ndarray
-        n_pad : int
-          Is used to add `n_pad`/2 points from the end of the previous
-          ensemble to the top of the current, and `n_pad`/2 points
-          from the top of the next ensemble to the bottom of the
-          current.  Zeros are padded in the upper-left and lower-right
-          corners of the matrix (beginning/end of timeseries).  In
-          this case, the array shape will be (...,`n`,`n_pad`+`n_bin`)
+        step : int
+          Number of samples to advance between consecutive windows.
+          Default: n_bin (non-overlapping windows).
         n_bin : int
-          Override this binner's n_bin. Default is `self.n_bin`
+          Window (bin) size. Default is `self.n_bin`
 
         Returns
         -------
         out : numpy.ndarray
-
-        Notes
-        -----
-        `n_bin` can be non-integer, in which case the output array
-        size will be `n_pad`+`n_bin`, and the decimal will
-        cause skipping of some data points in `arr`.  In particular,
-        every mod(`n_bin`,1) bins will have a skipped point. For
-        example:
-        - for n_bin=2048.2 every 1/5 bins will have a skipped point.
-        - for n_bin=4096.9 every 9/10 bins will have a skipped point.
+          Shape (..., n_slices, n_bin) where
+          n_slices = (N - n_bin) // step + 1
         """
 
-        n_bin = self._parse_nbin(n_bin)
+        n_bin = int(self._parse_nbin(n_bin))
         if arr.shape[-1] < n_bin:
             raise Exception("n_bin is larger than length of input array")
-        npd0 = int(n_pad // 2)
-        npd1 = int((n_pad + 1) // 2)
-        shp = self._outshape(arr.shape, n_pad=0, n_bin=n_bin)
-        out = np.zeros(
-            self._outshape(arr.shape, n_pad=n_pad, n_bin=n_bin), dtype=arr.dtype
-        )
-        if np.mod(n_bin, 1) == 0:
-            # n_bin needs to be int
-            n_bin = int(n_bin)
-            # If n_bin is an integer, we can do this simply.
-            out[..., npd0 : n_bin + npd0] = (arr[..., : (shp[-2] * shp[-1])]).reshape(
-                shp, order="C"
-            )
-        else:
-            inds = (np.arange(np.prod(shp[-2:])) * n_bin // int(n_bin)).astype(int)
-            # If there are too many indices, drop one bin
-            if inds[-1] >= arr.shape[-1]:
-                inds = inds[: -int(n_bin)]
-                shp[-2] -= 1
-                out = out[..., 1:, :]
-            n_bin = int(n_bin)
-            out[..., npd0 : n_bin + npd0] = (arr[..., inds]).reshape(shp, order="C")
-            n_bin = int(n_bin)
-        if n_pad != 0:
-            out[..., 1:, :npd0] = out[..., :-1, n_bin : n_bin + npd0]
-            out[..., :-1, -npd1:] = out[..., 1:, npd0 : npd0 + npd1]
-
+        if step is None:
+            step = n_bin
+        step = int(step)
+        sliding_window = np.lib.stride_tricks.sliding_window_view(arr, n_bin, axis=-1)
+        out = sliding_window[..., ::step, :].copy()
         return out
 
-    def detrend(self, arr, axis=-1, n_pad=0, n_bin=None):
+    def detrend(self, arr, axis=-1, step=None, n_bin=None):
         """
-        Reshape the array `arr` to shape (...,n,n_bin+n_pad)
-        and remove the best-fit trend line from each bin.
+        Reshape the array `arr` into sliding windows and remove the
+        best-fit trend line from each window.
 
         Parameters
         ----------
         arr : numpy.ndarray
         axis : int
-          Axis along which to take mean. Default = -1
-        n_pad : int
-          Is used to add `n_pad`/2 points from the end of the previous
-          ensemble to the top of the current, and `n_pad`/2 points
-          from the top of the next ensemble to the bottom of the
-          current.  Zeros are padded in the upper-left and lower-right
-          corners of the matrix (beginning/end of timeseries).  In
-          this case, the array shape will be (...,`n`,`n_pad`+`n_bin`).
-          Default = 0
+          Axis along which to detrend. Default = -1
+        step : int
+          Number of samples to advance between consecutive windows.
+          Default: n_bin (non-overlapping windows).
         n_bin : int
           Override this binner's n_bin. Default is `self.n_bin`
 
@@ -263,26 +227,21 @@ def detrend(self, arr, axis=-1, n_pad=0, n_bin=None):
         out : numpy.ndarray
         """
 
-        return detrend_array(self.reshape(arr, n_pad=n_pad, n_bin=n_bin), axis=axis)
+        return detrend_array(self.reshape(arr, step=step, n_bin=n_bin), axis=axis)
 
-    def demean(self, arr, axis=-1, n_pad=0, n_bin=None):
+    def demean(self, arr, axis=-1, step=None, n_bin=None):
         """
-        Reshape the array `arr` to shape (...,n,n_bin+n_pad)
-        and remove the mean from each bin.
+        Reshape the array `arr` into sliding windows and remove the
+        mean from each window.
 
         Parameters
         ----------
         arr : numpy.ndarray
         axis : int
           Axis along which to take mean. Default = -1
-        n_pad : int
-          Is used to add `n_pad`/2 points from the end of the previous
-          ensemble to the top of the current, and `n_pad`/2 points
-          from the top of the next ensemble to the bottom of the
-          current.  Zeros are padded in the upper-left and lower-right
-          corners of the matrix (beginning/end of timeseries).  In
-          this case, the array shape will be (...,`n`,`n_pad`+`n_bin`).
-          Default = 0
+        step : int
+          Number of samples to advance between consecutive windows.
+          Default: n_bin (non-overlapping windows).
         n_bin : int
           Override this binner's n_bin. Default is `self.n_bin`
 
@@ -291,10 +250,10 @@ def demean(self, arr, axis=-1, n_pad=0, n_bin=None):
         out : numpy.ndarray
         """
 
-        dt = self.reshape(arr, n_pad=n_pad, n_bin=n_bin)
+        dt = self.reshape(arr, step=step, n_bin=n_bin)
         return dt - np.nanmean(dt, axis)[..., None]
 
-    def mean(self, arr, axis=-1, n_bin=None):
+    def mean(self, arr, axis=-1, step=None, n_bin=None):
         """
         Reshape the array `arr` to shape (...,n,n_bin+n_pad)
         and take the mean of each bin along the specified `axis`.
@@ -304,6 +263,9 @@ def mean(self, arr, axis=-1, n_bin=None):
         arr : numpy.ndarray
         axis : int
           Axis along which to take mean. Default = -1
+        step : int
+          Number of samples to advance between consecutive windows.
+          Default: n_bin (non-overlapping windows).
         n_bin : int
           Override this binner's n_bin. Default is `self.n_bin`
 
@@ -313,15 +275,17 @@ def mean(self, arr, axis=-1, n_bin=None):
         """
 
         if np.issubdtype(arr.dtype, np.datetime64):
-            return epoch2dt64(self.mean(dt642epoch(arr), axis=axis, n_bin=n_bin))
+            return epoch2dt64(
+                self.mean(dt642epoch(arr), axis=axis, step=step, n_bin=n_bin)
+            )
         if axis != -1:
             arr = np.swapaxes(arr, axis, -1)
         n_bin = self._parse_nbin(n_bin)
-        tmp = self.reshape(arr, n_bin=n_bin)
+        tmp = self.reshape(arr, step=step, n_bin=n_bin)
 
         return np.nanmean(tmp, -1)
 
-    def variance(self, arr, axis=-1, n_bin=None):
+    def variance(self, arr, axis=-1, step=None, n_bin=None):
         """
         Reshape the array `arr` to shape (...,n,n_bin+n_pad)
         and take the variance of each bin along the specified `axis`.
@@ -331,6 +295,9 @@ def variance(self, arr, axis=-1, n_bin=None):
         arr : numpy.ndarray
         axis : int
           Axis along which to take variance. Default = -1
+        step : int
+          Number of samples to advance between consecutive windows.
+          Default: n_bin (non-overlapping windows).
         n_bin : int
           Override this binner's n_bin. Default is `self.n_bin`
 
@@ -339,9 +306,9 @@ def variance(self, arr, axis=-1, n_bin=None):
         out : numpy.ndarray
         """
 
-        return np.nanvar(self.reshape(arr, n_bin=n_bin), axis=axis, dtype=np.float32)
+        return np.nanvar(self.reshape(arr, step=step, n_bin=n_bin), axis=axis)
 
-    def standard_deviation(self, arr, axis=-1, n_bin=None):
+    def standard_deviation(self, arr, axis=-1, step=None, n_bin=None):
         """
         Reshape the array `arr` to shape (...,n,n_bin+n_pad)
         and take the standard deviation of each bin along the
@@ -352,6 +319,9 @@ def standard_deviation(self, arr, axis=-1, n_bin=None):
         arr : numpy.ndarray
         axis : int
           Axis along which to take std dev. Default = -1
+        step : int
+          Number of samples to advance between consecutive windows.
+          Default: n_bin (non-overlapping windows).
         n_bin : int
           Override this binner's n_bin. Default is `self.n_bin`
 
@@ -360,7 +330,7 @@ def standard_deviation(self, arr, axis=-1, n_bin=None):
         out : numpy.ndarray
         """
 
-        return np.nanstd(self.reshape(arr, n_bin=n_bin), axis=axis, dtype=np.float32)
+        return np.nanstd(self.reshape(arr, step=step, n_bin=n_bin), axis=axis)
 
     def _psd_base(
         self,
@@ -370,10 +340,10 @@ def _psd_base(
         noise=0,
         n_bin=None,
         n_fft=None,
-        step=None,
+        pct_overlap=0.5,
     ):
         """
-        Calculate power spectral density of `dat`
+        Calculate the power spectral density of `dat`
 
         Parameters
         ----------
@@ -381,8 +351,11 @@ def _psd_base(
           The raw dataArray of which to calculate the psd.
         fs : float (optional)
           The sample rate (Hz).
-        window : str
-          String indicating the window function to use. Default is 'hanning'
+        window : {None, 1, 'hann', numpy.ndarray}
+          The window to use (default: 'hann'). Valid entries are:
+            - None,1               : uses a 'boxcar' or ones window.
+            - 'hann'               : hanning window.
+            - a length(nfft) array : use this as the window directly.
         noise  : float
           The white-noise level of the measurement (in the same units
           as `dat`).
@@ -392,10 +365,8 @@ def _psd_base(
         n_fft : int
           n_fft of veldat2, number of elements per bin if 'None' is taken
           from VelBinner
-        step : int (optional)
-          Controls amount of overlap in fft. Default: the step size is
-          chosen to maximize data use, minimize nens, and have a
-          minimum of 50% overlap.
+        pct_overlap : float
+          The percent overlap between FFT windows (default: 0.5)
 
         Returns
         -------
@@ -408,42 +379,71 @@ def _psd_base(
         """
 
         fs = self._parse_fs(fs)
+        # n_bin determines the number of time bins in the output
         n_bin = self._parse_nbin(n_bin)
+        # n_fft determines the length and resolution of the frequency vector
         n_fft = self._parse_nfft(n_fft)
-        out = np.empty(self._outshape_fft(dat.shape, n_fft=n_fft, n_bin=n_bin))
-        # The data is detrended in psd, so we don't need to do it here.
-        dat = self.reshape(dat)
-
-        for slc in slice1d_along_axis(dat.shape, -1):
-            out[slc] = psd_1D(dat[slc], n_fft, fs, window=window, step=step)
+        # step is the advance between consecutive bin slices.
+        # For pct_overlap fraction of overlap: step = n_bin * (1 - pct_overlap).
+        step = int((1 - pct_overlap) * n_bin)
+        out = np.empty(
+            self._outshape_fft(dat.shape, n_fft=n_fft, n_bin=n_bin, step=step)
+        )
+        n_samples = out.shape[-2]
+        for i in range(n_samples):
+            sample_slice = slice(i * step, i * step + int(n_bin))
+            freq, psd = signal.welch(
+                dat[sample_slice],
+                fs=fs,
+                window=window,
+                nperseg=n_fft,
+                noverlap=int(pct_overlap * n_fft),
+                detrend="linear",
+                return_onesided=True,
+                scaling="density",
+            )
+            # Drop DC bin (index 0): always ~0 after linear detrending, excluded by convention
+            out[i, :] = psd[1:]
         if np.any(noise):
             out -= noise**2 / (fs / 2)
             # Make sure all values of the PSD are >0 (but still small):
             out[out < 0] = np.min(np.abs(out)) / 100
-        return out
+        return freq[1:], out
 
-    def _csd_base(self, dat1, dat2, fs=None, window="hann", n_fft=None, n_bin=None):
+    def _csd_base(
+        self,
+        dat1,
+        dat2,
+        fs=None,
+        window="hann",
+        n_fft=None,
+        n_bin=None,
+        pct_overlap=0.5,
+    ):
         """
-        Calculate the cross power spectral density of `dat`.
+        Compute the cross power spectral density (CPSD) of the signals dat1 and dat2.
 
         Parameters
         ----------
         dat1 : numpy.ndarray
-          The first (shorter, if applicable) raw dataArray of which to
-          calculate the cpsd.
+          The first raw dataArray of which to calculate the cpsd.
         dat2 : numpy.ndarray
-          The second (the shorter, if applicable) raw dataArray of which to
-          calculate the cpsd.
+          The second raw dataArray of which to calculate the cpsd.
         fs : float (optional)
           The sample rate (Hz).
-        window : str
-          String indicating the window function to use. Default is 'hanning'
+        window : {None, 1, 'hann', numpy.ndarray}
+          The window to use (default: 'hann'). Valid entries are:
+            - None,1               : uses a 'boxcar' or ones window.
+            - 'hann'               : hanning window.
+            - a length(nfft) array : use this as the window directly.
         n_fft : int
-          n_fft of veldat2, number of elements per bin if 'None' is taken
-          from VelBinner
+          Number of elements in the FFT. If 'None', is taken
+          from VelBinner (uses n_fft_coh).
         n_bin : int
-          n_bin of veldat2, number of elements per bin if 'None' is taken
-          from VelBinner
+          Number of elements per bin. If 'None', is taken
+          from VelBinner.
+        pct_overlap : float
+          The percent overlap between sliding windows (default: 0.5).
 
         Returns
         -------
@@ -452,70 +452,53 @@ def _csd_base(self, dat1, dat2, fs=None, window="hann", n_fft=None, n_bin=None):
 
         Notes
         -----
-        PSD's are calculated based on sample rate units
+        PSDs are calculated based on sample rate units.
+        This removes a linear trend from the signals.
+        The two signals must be the same length and both be real.
 
-        The two velocity inputs do not have to be perfectly synchronized, but
-        they should have the same start and end timestamps
-        """
+        This performs:
 
-        fs = self._parse_fs(fs)
-        if n_fft is None:
-            n_fft = self.n_fft_coh
-        # want each slice to carry the same timespan
-        n_bin2 = self._parse_nbin(n_bin)  # bins for shorter array
-        n_bin1 = int(dat1.shape[-1] / (dat2.shape[-1] / n_bin2))
+        .. math::
 
-        oshp = self._outshape_fft(dat1.shape, n_fft=n_fft, n_bin=n_bin1)
-        oshp[-2] = np.min([oshp[-2], int(dat2.shape[-1] // n_bin2)])
+            fft(a)*conj(fft(b))
 
-        # The data is detrended in psd, so we don't need to do it here:
-        dat1 = self.reshape(dat1)
-        dat2 = self.reshape(dat2)
-        out = np.empty(oshp, dtype="c{}".format(dat1.dtype.itemsize * 2))
-        if dat1.shape == dat2.shape:
-            cross = cpsd_1D
-        else:
-            cross = cpsd_quasisync_1D
-        for slc in slice1d_along_axis(out.shape, -1):
-            out[slc] = cross(dat1[slc], dat2[slc], n_fft, fs, window=window)
-        return out
+        This implementation is consistent with the numpy.correlate
+        definition of correlation.  (The conjugate of D.B. Chelton's
+        definition of correlation.)
 
-    def _fft_freq(self, fs=None, units="Hz", n_fft=None, coh=False):
+        The units of the spectra is the product of the units of `a` and
+        `b`, divided by the units of fs.
         """
-        Wrapper to calculate the ordinary or radial frequency vector
-
-        Parameters
-        ----------
-        fs : float (optional)
-          The sample rate (Hz).
-        units : string
-          Frequency units in either Hz or rad/s (f or omega)
-        coh : bool
-          Calculate the frequency vector for coherence/cross-spectra
-          (default: False) i.e. use self.n_fft_coh instead of
-          self.n_fft.
-        n_fft : int
-          n_fft of veldat2, number of elements per bin if 'None' is taken
-          from VelBinner
-
-        Returns
-        -------
-        out: numpy.ndarray
-          Spectrum frequency array in units of 'Hz' or 'rad/s'
-        """
-
-        if n_fft is None:
-            n_fft = self.n_fft
-            if coh:
-                n_fft = self.n_fft_coh
 
         fs = self._parse_fs(fs)
+        n_fft = self._parse_nfft_coh(n_fft)
+        n_bin = self._parse_nbin(n_bin)
 
-        if ("Hz" not in units) and ("rad" not in units):
-            raise Exception("Valid fft frequency vector units are Hz \
-                            or rad/s")
+        if dat1.shape != dat2.shape:
+            raise ValueError(
+                "Cross-spectral density requires equal-length input arrays. "
+                "Quasi-synchronized (different sample rate) inputs are not supported."
+            )
+        if np.iscomplexobj(dat1) or np.iscomplexobj(dat2):
+            raise ValueError("Velocity cannot be complex")
 
-        if "rad" in units:
-            return fft_frequency(n_fft, 2 * np.pi * fs)
-        else:
-            return fft_frequency(n_fft, fs)
+        step = int((1 - pct_overlap) * n_bin)
+        oshp = self._outshape_fft(dat1.shape, n_fft=n_fft, n_bin=n_bin, step=step)
+        out = np.empty(oshp, dtype="c{}".format(dat1.dtype.itemsize * 2))
+        n_samples = oshp[-2]
+        for i in range(n_samples):
+            sample_slice = slice(i * step, i * step + int(n_bin))
+            freq, cpsd = signal.csd(
+                dat1[sample_slice],
+                dat2[sample_slice],
+                fs=fs,
+                window=window,
+                nperseg=n_fft,
+                noverlap=int(pct_overlap * n_fft),
+                detrend="linear",
+                return_onesided=True,
+                scaling="density",
+            )
+            # Drop DC bin (index 0): always ~0 after linear detrending, excluded by convention
+            out[i, :] = cpsd[1:]
+        return freq[1:], out
diff --git a/mhkit/dolfyn/io/nortek.py b/mhkit/dolfyn/io/nortek.py
index 76d619143..c33cbb180 100644
--- a/mhkit/dolfyn/io/nortek.py
+++ b/mhkit/dolfyn/io/nortek.py
@@ -8,7 +8,7 @@
 from . import base
 from . import nortek_defs as defs
 from . import nortek_lib as lib
-from ..tools import misc as tbx
+from .. import tools as tbx
 from ..rotate.vector import _calc_omat
 from ..rotate.base import _set_coords
 from ..rotate import api as rot
diff --git a/mhkit/dolfyn/time.py b/mhkit/dolfyn/time.py
index bceb699b5..4ad5c31bd 100644
--- a/mhkit/dolfyn/time.py
+++ b/mhkit/dolfyn/time.py
@@ -1,6 +1,6 @@
 from datetime import datetime, timedelta, timezone
 import numpy as np
-from .tools.misc import fillgaps
+from .tools import fillgaps
 
 
 def _fullyear(year):
diff --git a/mhkit/dolfyn/tools/misc.py b/mhkit/dolfyn/tools.py
similarity index 98%
rename from mhkit/dolfyn/tools/misc.py
rename to mhkit/dolfyn/tools.py
index 6bcfbc5f7..24a84b625 100644
--- a/mhkit/dolfyn/tools/misc.py
+++ b/mhkit/dolfyn/tools.py
@@ -205,7 +205,7 @@ def fillgaps(a, maxgap=np.inf, dim=0, extrapFlg=False):
 
     See Also
     --------
-    mhkit.dolfyn.tools.misc._interpgaps : Linearly interpolates in time.
+    mhkit.dolfyn.tools._interpgaps : Linearly interpolates in time.
 
     Notes
     -----
@@ -278,7 +278,7 @@ def interpgaps(a, t, maxgap=np.inf, dim=0, extrapFlg=False):
 
     See Also
     --------
-    mhkit.dolfyn.tools.misc.fillgaps : Linearly interpolates in array-index space.
+    mhkit.dolfyn.tools.fillgaps : Linearly interpolates in array-index space.
     """
 
     # If this is a multi-dimensional array, operate along dim dim.
diff --git a/mhkit/dolfyn/tools/__init__.py b/mhkit/dolfyn/tools/__init__.py
deleted file mode 100644
index af4fca326..000000000
--- a/mhkit/dolfyn/tools/__init__.py
+++ /dev/null
@@ -1,2 +0,0 @@
-from mhkit.dolfyn.tools import misc
-from mhkit.dolfyn.tools import fft
diff --git a/mhkit/dolfyn/tools/fft.py b/mhkit/dolfyn/tools/fft.py
deleted file mode 100644
index 2bd5b6511..000000000
--- a/mhkit/dolfyn/tools/fft.py
+++ /dev/null
@@ -1,316 +0,0 @@
-import numpy as np
-from .misc import detrend_array
-
-fft = np.fft.fft
-
-
-def fft_frequency(nfft, fs, full=False):
-    """
-    Compute the frequency vector for a given `nfft` and `fs`.
-
-    Parameters
-    ----------
-    fs : float
-      The sampling frequency (e.g. samples/sec)
-    nfft : int
-      The number of samples in a window.
-    full : bool
-      Whether to return half frequencies (positive), or the full frequencies.
-      Default = False
-
-    Returns
-    -------
-    freq : numpy.ndarray
-      The frequency vector, in same units as 'fs'
-    """
-
-    fs = np.float64(fs)
-    f = np.fft.fftfreq(int(nfft), 1 / fs)
-    if full:
-        return f
-    else:
-        return np.abs(f[1 : int(nfft / 2.0 + 1)])
-
-
-def _getwindow(window, nfft):
-    if window is None:
-        window = np.ones(nfft)
-    elif isinstance(window, (int, float)) and window == 1:
-        window = np.ones(nfft)
-    elif isinstance(window, str):
-        if "hann" in window:
-            window = np.hanning(nfft)
-        elif "hamm" in window:
-            window = np.hamming(nfft)
-        else:
-            raise ValueError("Unsupported window type: {}".format(window))
-    elif isinstance(window, np.ndarray):
-        if len(window) != nfft:
-            raise ValueError("Custom window length must be equal to nfft")
-    else:
-        raise ValueError("Invalid window parameter")
-
-    return window
-
-
-def _stepsize(l, nfft, nens=None, step=None):
-    """
-    Calculates the fft-step size for a length *l* array.
-
-    If nens is None, the step size is chosen to maximize data use,
-    minimize nens and have a minimum of 50% overlap.
-
-    If nens is specified, the step-size is computed directly.
-
-    Parameters
-    ----------
-    l       : The length of the array.
-    nfft    : The number of points in the fft.
-    nens : The number of nens to perform (default compute this).
-
-    Returns
-    -------
-    step    : The step size.
-    nens    : The number of ensemble ffts to average together.
-    nfft    : The number of points in the fft (set to l if nfft>l).
-    """
-
-    if l < nfft:
-        nfft = l
-    if nens is None and step is None:
-        if l == nfft:
-            return 0, 1, int(nfft)
-        nens = int(2.0 * l / nfft)
-        return int((l - nfft) / (nens - 1)), nens, int(nfft)
-    elif nens is None:
-        return int(step), int((l - nfft) / step + 1), int(nfft)
-    else:
-        if nens == 1:
-            return 0, 1, int(nfft)
-        return int((l - nfft) / (nens - 1)), int(nens), int(nfft)
-
-
-def cpsd_quasisync_1D(a, b, nfft, fs, window="hann"):
-    """
-    Compute the cross power spectral density (CPSD) of the signals `a` and `b`.
-
-    Parameters
-    ----------
-    a : numpy.ndarray
-      The first signal.
-    b : numpy.ndarray
-      The second signal.
-    nfft : int
-      The number of points in the fft.
-    fs : float
-      The sample rate (e.g. sample/second).
-    window : {None, 1, 'hann', numpy.ndarray}
-      The window to use (default: 'hann'). Valid entries are:
-      - None,1               : uses a 'boxcar' or ones window.
-      - 'hann'               : hanning window.
-      - a length(nfft) array : use this as the window directly.
-
-    Returns
-    -------
-    cpsd : numpy.ndarray
-      The cross-spectral density of `a` and `b`.
-
-    See Also
-    ---------
-    :func:`psd`,
-    :func:`coherence_1D`,
-    :func:`cpsd_1D`,
-    numpy.fft
-
-    Notes
-    -----
-    `a` and `b` do not need to be 'tightly' synchronized, and can even
-    be different lengths, but the first- and last-index of both series
-    should be synchronized (to whatever degree you want unbiased
-    phases).
-
-    This performs:
-
-    .. math::
-
-        fft(a)*conj(fft(b))
-
-    Note that this is consistent with :func:`numpy.correlate`.
-
-    It detrends the data and uses a minimum of 50% overlap for the
-    shorter of `a` and `b`. For the longer, the overlap depends on the
-    difference in size.  1-(l_short/l_long) data will be underutilized
-    (where l_short and l_long are the length of the shorter and longer
-    series, respectively).
-
-    The units of the spectra is the product of the units of `a` and
-    `b`, divided by the units of fs.
-    """
-
-    if np.iscomplexobj(a) or np.iscomplexobj(b):
-        raise Exception("Velocity cannot be complex")
-    l = [len(a), len(b)]
-    if l[0] == l[1]:
-        return cpsd_1D(a, b, nfft, fs, window=window)
-    elif l[0] > l[1]:
-        a, b = b, a
-        l = l[::-1]
-    step = [0, 0]
-    step[0], nens, nfft = _stepsize(l[0], nfft)
-    step[1], nens, nfft = _stepsize(l[1], nfft, nens=nens)
-    fs = np.float64(fs)
-    window = _getwindow(window, nfft)
-    fft_inds = slice(1, int(nfft / 2.0 + 1))
-    wght = 2.0 / (window**2).sum()
-    pwr = fft(detrend_array(a[0:nfft]) * window)[fft_inds] * np.conj(
-        fft(detrend_array(b[0:nfft]) * window)[fft_inds]
-    )
-    if nens - 1:
-        for i1, i2 in zip(
-            range(step[0], l[0] - nfft + 1, step[0]),
-            range(step[1], l[1] - nfft + 1, step[1]),
-        ):
-            pwr += fft(detrend_array(a[i1 : (i1 + nfft)]) * window)[fft_inds] * np.conj(
-                fft(detrend_array(b[i2 : (i2 + nfft)]) * window)[fft_inds]
-            )
-    pwr *= wght / nens / fs
-    return pwr
-
-
-def cpsd_1D(a, b, nfft, fs, window="hann", step=None):
-    """
-    Compute the cross power spectral density (CPSD) of the signals `a` and `b`.
-
-    Parameters
-    ----------
-    a : numpy.ndarray
-      The first signal.
-    b : numpy.ndarray
-      The second signal.
-    nfft : int
-      The number of points in the fft.
-    fs : float
-      The sample rate (e.g. sample/second).
-    window : {None, 1, 'hann', numpy.ndarray}
-      The window to use (default: 'hann'). Valid entries are:
-      - None,1               : uses a 'boxcar' or ones window.
-      - 'hann'               : hanning window.
-      - a length(nfft) array : use this as the window directly.
-    step : int
-      Use this to specify the overlap.  For example:
-      - step : nfft/2 specifies a 50% overlap.
-      - step : nfft specifies no overlap.
-      - step=2*nfft means that half the data will be skipped.
-      By default, `step` is calculated to maximize data use, have
-      at least 50% overlap and minimize the number of ensembles.
-
-    Returns
-    -------
-    cpsd : numpy.ndarray
-      The cross-spectral density of `a` and `b`.
-
-    See also
-    --------
-    :func:`psd`
-    :func:`coherence_1D`
-    `numpy.fft`
-
-    Notes
-    -----
-    cpsd removes a linear trend from the signals.
-
-    The two signals should be the same length, and should both be real.
-
-    This performs:
-
-    .. math::
-
-        fft(a)*conj(fft(b))
-
-    This implementation is consistent with the numpy.correlate
-    definition of correlation.  (The conjugate of D.B. Chelton's
-    definition of correlation.)
-
-    The units of the spectra is the product of the units of `a` and
-    `b`, divided by the units of fs.
-    """
-
-    if np.iscomplexobj(a) or np.iscomplexobj(b):
-        raise Exception("Velocity cannot be complex")
-    auto_psd = False
-    if a is b:
-        auto_psd = True
-    l = len(a)
-    step, nens, nfft = _stepsize(l, nfft, step=step)
-    fs = np.float64(fs)
-    window = _getwindow(window, nfft)
-    fft_inds = slice(1, int(nfft / 2.0 + 1))
-    wght = 2.0 / (window**2).sum()
-    # Take FFT of first segment
-    s1 = fft(detrend_array(a[0:nfft]) * window)[fft_inds]
-    if auto_psd:
-        pwr = np.abs(s1) ** 2
-    else:
-        pwr = s1 * np.conj(fft(detrend_array(b[0:nfft]) * window)[fft_inds])
-    # take FFT of remaining segments
-    if nens - 1:
-        for i in range(step, l - nfft + 1, step):
-            s1 = fft(detrend_array(a[i : (i + nfft)]) * window)[fft_inds]
-            if auto_psd:
-                pwr += np.abs(s1) ** 2
-            else:
-                pwr += s1 * np.conj(
-                    fft(detrend_array(b[i : (i + nfft)]) * window)[fft_inds]
-                )
-    pwr *= wght / nens / fs
-    return pwr
-
-
-def psd_1D(a, nfft, fs, window="hann", step=None):
-    """
-    Compute the power spectral density (PSD).
-
-    This function computes the one-dimensional `n`-point PSD.
-
-    The units of the spectra is the product of the units of `a` and
-    `b`, divided by the units of fs.
-
-    Parameters
-    ----------
-    a : numpy.ndarray
-      The first signal, as a 1D vector
-    nfft : int
-      The number of points in the fft.
-    fs : float
-      The sample rate (e.g. sample/second).
-    window : {None, 1, 'hann', numpy.ndarray}
-      The window to use (default: 'hann'). Valid entries are:
-      - None,1               : uses a 'boxcar' or ones window.
-      - 'hann'               : hanning window.
-      - a length(nfft) array : use this as the window directly.
-    step : int
-      Use this to specify the overlap.  For example:
-      - step : nfft/2 specifies a 50% overlap.
-      - step : nfft specifies no overlap.
-      - step=2*nfft means that half the data will be skipped.
-      By default, `step` is calculated to maximize data use, have
-      at least 50% overlap and minimize the number of ensembles.
-
-    Returns
-    -------
-    cpsd : numpy.ndarray
-      The cross-spectral density of `a` and `b`.
-
-    Notes
-    -----
-    Credit: This function's line of code was copied from JN's fast_psd.m
-    routine.
-
-    See Also
-    --------
-    :func:`cpsd_1D`
-    :func:`coherence_1D`
-    `numpy.fft`
-    """
-
-    return np.abs(cpsd_1D(a, a, nfft, fs, window=window, step=step))
diff --git a/mhkit/dolfyn/velocity.py b/mhkit/dolfyn/velocity.py
index 9b8dd557b..5b6aed4de 100644
--- a/mhkit/dolfyn/velocity.py
+++ b/mhkit/dolfyn/velocity.py
@@ -1,10 +1,11 @@
+import warnings
 import numpy as np
 import xarray as xr
 from .binned import TimeBinner
 from .time import dt642epoch, dt642date
 from .rotate.api import rotate2, set_declination, set_inst2head_rotmat
 from .io.api import save
-from .tools.misc import slice1d_along_axis, convert_degrees
+from .tools import slice1d_along_axis, convert_degrees
 
 
 @xr.register_dataset_accessor("velds")  # 'vel dataset'
@@ -779,7 +780,16 @@ def autocovariance(self, veldat, n_bin=None):
             self._outshape(indat.shape, n_bin=n_bin)[:-1] + [int(n_bin // 4)],
             dtype=indat.dtype,
         )
-        dt1 = self.reshape(indat, n_pad=n_bin / 2 - 2)
+        # Need to pad velocity timeseries with zeros to incoporate the full range of
+        # the auto-covariance.
+        n_pad = int(n_bin / 2 - 2)
+        npd0 = n_pad // 2
+        npd1 = (n_pad + 1) // 2
+        # Pad with zeros at boundaries to replicate the original n_pad behavior
+        indat_padded = np.pad(
+            indat, pad_width=[(0, 0)] * (indat.ndim - 1) + [(npd0, npd1)]
+        )
+        dt1 = self.reshape(indat_padded, step=int(n_bin), n_bin=int(n_bin + n_pad))
         # Here we de-mean only on the 'valid' range:
         dt1 = dt1 - dt1[..., :, int(n_bin // 4) : int(-n_bin // 4)].mean(-1)[..., None]
         dt2 = self.demean(indat)
@@ -811,6 +821,13 @@ def autocovariance(self, veldat, n_bin=None):
 
         return da
 
+    def _interp_noise(self, noise, time):
+        """Return noise as a numpy array, interpolating to binned `time` if needed."""
+        noise_time_dim = noise.dims[-1]
+        if time.size != noise[noise_time_dim].size:
+            return noise.interp({noise_time_dim: time}).values
+        return noise.values
+
     def turbulence_intensity(self, U_mag, noise=0, thresh=0, detrend=False):
         """
         Calculate noise-corrected turbulence intensity (TI).
@@ -838,7 +855,7 @@ def turbulence_intensity(self, U_mag, noise=0, thresh=0, detrend=False):
         if "xarray" in type(U_mag).__module__:
             U = U_mag.values
         if "xarray" in type(noise).__module__:
-            noise = noise.values
+            noise = self._interp_noise(noise, self.mean(U_mag["time"].values))
 
         if detrend:
             up = self.detrend(U)
@@ -903,7 +920,7 @@ def turbulent_kinetic_energy(self, veldat, noise=None, detrend=True):
         if "xarray" in type(veldat).__module__:
             vel = veldat.values
         if "xarray" in type(noise).__module__:
-            noise = noise.values
+            noise = self._interp_noise(noise, self.mean(veldat[veldat.dims[-1]].values))
 
         if len(np.shape(vel)) > 2:
             raise ValueError(
@@ -948,7 +965,7 @@ def turbulent_kinetic_energy(self, veldat, noise=None, detrend=True):
                     coords[nm] = veldat[nm].values
 
         return xr.DataArray(
-            out.astype("float32"),
+            out,
             dims=dims,
             coords=coords,
             attrs={
@@ -967,7 +984,7 @@ def power_spectral_density(
         noise=0,
         n_bin=None,
         n_fft=None,
-        step=None,
+        pct_overlap=0,
     ):
         """
         Calculate the power spectral density of velocity.
@@ -980,9 +997,10 @@ def power_spectral_density(
           Frequency units of the returned spectra in either Hz or rad/s
         fs : float (optional)
           The sample rate. Default is `binner.fs`
-        window : string or array
-          Specify the window function.
-          Options = 1, None, 'hann', 'hamm'. Default = 'hann'
+        window: str
+          Type of window to apply to each FFT segment.
+          Options ('boxcar', 'hann', 'hamming', 'blackman', 'bartlett').
+          Default: 'hann'.
         noise : numeric or array
           Instrument noise level in same units as velocity.
           Default = 0 (ADCP) or [0, 0, 0] (ADV)
@@ -990,10 +1008,11 @@ def power_spectral_density(
           The bin-size. Default = `self.n_bin`
         n_fft : int (optional)
           The fft size. Default = `self.n_fft`
-        step : int (optional)
-          Controls amount of overlap in fft. Default: the step size is
-          chosen to maximize data use, minimize nens, and have a
-          minimum of 50% overlap.
+        pct_overlap : float (optional)
+          Fractional overlap between consecutive sliding windows, in [0, 1).
+          Controls both the bin-to-bin advance and the within-bin FFT overlap
+          passed to scipy.signal.welch. Industry standard is 50%.
+          Default = 0 (0% overlap).
 
         Returns
         -------
@@ -1007,8 +1026,17 @@ def power_spectral_density(
             vel = veldat.values
         if ("rad" not in freq_units) and ("Hz" not in freq_units):
             raise ValueError("`freq_units` should be one of 'Hz' or 'rad/s'")
-
-        # Create frequency vector, also checks whether using f or omega
+        n_bin = self._parse_nbin(n_bin)
+        step = int((1 - pct_overlap) * n_bin)
+        if pct_overlap > 0:
+            warnings.warn(
+                "The PSD time coordinate differs from other VelBinner outputs when "
+                "pct_overlap > 0. Timestamps represent the center of each overlapping "
+                f"sliding window (step={step} samples, pct_overlap={pct_overlap}).",
+                UserWarning,
+                stacklevel=2,
+            )
+        # Set units correctly
         if "rad" in freq_units:
             fs = 2 * np.pi * fs_in
             freq_units = "rad s-1"
@@ -1017,18 +1045,8 @@ def power_spectral_density(
             fs = fs_in
             freq_units = "Hz"
             units = "m2 s-2 Hz-1"
-        freq = xr.DataArray(
-            self._fft_freq(fs=fs_in, units=freq_units, n_fft=n_fft),
-            dims=["freq"],
-            name="freq",
-            attrs={
-                "units": freq_units,
-                "long_name": "FFT Frequency Vector",
-                "coverage_content_type": "coordinate",
-            },
-        ).astype("float32")
 
-        # Spectra, if input is full velocity or a single array
+        # Spectra, if velocity is a 2D array (dir, time)
         if len(vel.shape) >= 2:
             if vel.shape[0] != 3:
                 raise ValueError(
@@ -1041,48 +1059,64 @@ def power_spectral_density(
             else:
                 # Reset default to list of 3 zeros
                 noise = np.array([0, 0, 0])
+            # Set up input velocity array, coordinates, and dimensions
+            vel_in = vel[:3]
+            coords = {"S": self.S}
+            dims = ["S"]
 
-            out = np.empty(
-                self._outshape_fft(vel[:3].shape, n_fft=n_fft, n_bin=n_bin),
-                dtype=np.float32,
-            )
-            for idx in range(3):
-                out[idx] = self._psd_base(
-                    vel[idx],
-                    fs=fs,
-                    noise=noise[idx],
-                    window=window,
-                    n_bin=n_bin,
-                    n_fft=n_fft,
-                    step=step,
-                )
-            coords = {
-                "S": self.S,
-                "time": self.mean(veldat["time"].values),
-                "freq": freq,
-            }
-            dims = ["S", "time", "freq"]
+        # Spectra, if velocity is a single array
         else:
             if np.array(noise).any() and np.size(noise) > 1:
                 raise ValueError("Noise is expected to be a scalar")
+            # Add dummy axis
+            vel_in = vel[np.newaxis]
+            noise = np.atleast_1d(noise)
+            coords = {}
+            dims = []
 
-            out = self._psd_base(
-                vel,
+        # Do power spectral density calculation for each velocity component
+        out = np.empty(
+            self._outshape_fft(vel_in.shape, n_fft=n_fft, n_bin=n_bin, step=step)
+        )
+        for idx in range(vel_in.shape[0]):
+            f, out[idx] = self._psd_base(
+                vel_in[idx],
                 fs=fs,
-                noise=noise,
+                noise=noise[idx],
                 window=window,
                 n_bin=n_bin,
                 n_fft=n_fft,
-                step=step,
+                pct_overlap=pct_overlap,
             )
-            coords = {
-                veldat.dims[-1]: self.mean(veldat[veldat.dims[-1]].values),
+        # If not 3D (ADV) data, remove the new axis
+        if "S" not in dims:
+            out = out[0]
+
+        # Create frequency vector, also checks whether using f or omega
+        freq = xr.DataArray(
+            f,
+            dims=["freq"],
+            name="freq",
+            attrs={
+                "units": freq_units,
+                "long_name": "FFT Frequency Vector",
+                "coverage_content_type": "coordinate",
+            },
+        )
+
+        # Update coordinates and dimensions
+        time = veldat[veldat.dims[-1]].values
+        time_coord = self.mean(time, step=step, n_bin=n_bin)
+        coords.update(
+            {
+                "time_psd": time_coord,
                 "freq": freq,
             }
-            dims = [veldat.dims[-1], "freq"]
+        )
+        dims += ["time_psd", "freq"]
 
         return xr.DataArray(
-            out.astype("float32"),
+            out,
             coords=coords,
             dims=dims,
             attrs={
diff --git a/mhkit/tests/acoustics/test_analysis.py b/mhkit/tests/acoustics/test_analysis.py
index 2e78e6adb..a5c8d872a 100644
--- a/mhkit/tests/acoustics/test_analysis.py
+++ b/mhkit/tests/acoustics/test_analysis.py
@@ -19,7 +19,9 @@ class TestAnalysis(unittest.TestCase):
     def setUpClass(self):
         file_name = join(datadir, "6247.230204150508.wav")
         P = acoustics.io.read_soundtrap(file_name, sensitivity=-177)
-        self.spsd = acoustics.sound_pressure_spectral_density(P, P.fs, bin_length=1)
+        self.spsd = acoustics.sound_pressure_spectral_density(
+            P, P.fs, bin_length=1, pct_overlap=0.5
+        )
 
     @classmethod
     def tearDownClass(self):
@@ -89,18 +91,15 @@ def test_sound_pressure_spectral_density(self):
         # Assert that output is an xarray DataArray with expected dimensions
         self.assertIsInstance(spsd, xr.DataArray)
         self.assertIn("freq", spsd.dims)
-        self.assertIn("time", spsd.dims)
+        self.assertIn("time_psd", spsd.dims)
         self.assertEqual(spsd.attrs["units"], "Pa^2/Hz")
         self.assertEqual(spsd.attrs["bin_length"], bin_length)
         self.assertEqual(spsd.attrs["n_fft"], bin_length * fs)
 
-        # Calculate expected number of segments
-        overlap = 0.0
-        step = int(win_samples * (1 - overlap))
+        # Calculate expected number of segments using the default pct_overlap=0.5
+        default_pct_overlap = 0.5
+        step = int(win_samples * (1 - default_pct_overlap))
         expected_segments = (len(pressure) - win_samples) // step + 1
-
-        # Calculate expected number of segments without overlap
-        expected_segments = len(pressure) // win_samples
         self.assertEqual(spsd.shape[0], expected_segments)
 
     def test_apply_calibration(self):
@@ -151,27 +150,27 @@ def test_spsdl(self):
 
         cc = np.array(
             [
-                "2023-02-04T15:05:08.499983310",
-                "2023-02-04T15:05:09.499959707",
+                "2023-02-04T15:05:08.499983072",
+                "2023-02-04T15:05:08.999971389",
+                "2023-02-04T15:05:09.499959945",
+                "2023-02-04T15:05:09.999948263",
                 "2023-02-04T15:05:10.499936580",
-                "2023-02-04T15:05:11.499913454",
-                "2023-02-04T15:05:12.499890089",
             ],
             dtype="datetime64[ns]",
         )
         cd_spsdl = np.array(
             [
-                [61.72558153, 60.45878138, 61.02543806, 62.10487326, 53.69452342],
-                [64.73788935, 63.7154788, 56.60306848, 55.59145693, 65.14298631],
-                [54.88840931, 64.81213715, 68.5464288, 66.96210531, 57.26933701],
-                [47.83166387, 46.34269439, 55.26689475, 59.97537222, 62.87564412],
-                [51.84125861, 58.33037915, 56.42519674, 55.83574275, 55.48694318],
+                [61.988365, 60.721523, 61.288155, 62.367813, 53.957424],
+                [62.66007, 62.149723, 63.124702, 53.72768, 59.11971],
+                [64.50701, 63.48456, 56.372044, 55.36059, 64.91209],
+                [58.399498, 55.154545, 60.971836, 63.37324, 61.89729],
+                [54.477947, 64.40175, 68.13605, 66.5518, 56.858593],
             ]
         )
 
         np.testing.assert_allclose(td_spsdl.head().values, cd_spsdl, atol=1e-6)
         np.testing.assert_allclose(
-            td_spsdl["time"].head().astype("int64"), cc.astype("int64"), atol=1
+            td_spsdl["time_psd"].head().astype("int64"), cc.astype("int64"), atol=1
         )
 
     def test_averaging_deprecated(self):
@@ -193,39 +192,39 @@ def test_averaging_deprecated(self):
 
         cc = np.array(
             [
-                "2023-02-04T15:05:23.499983310",
-                "2023-02-04T15:05:53.499983310",
-                "2023-02-04T15:06:23.499983310",
-                "2023-02-04T15:06:53.499983310",
-                "2023-02-04T15:07:23.499983310",
+                "2023-02-04T15:05:23.499983072",
+                "2023-02-04T15:05:53.499983072",
+                "2023-02-04T15:06:23.499983072",
+                "2023-02-04T15:06:53.499983072",
+                "2023-02-04T15:07:23.499983072",
             ],
             dtype="datetime64[ns]",
         )
         cd_spsdl_50 = np.array(
             [
-                [63.45507, 64.753525, 65.04905, 67.15576, 73.47938],
-                [62.77437, 64.58199, 65.18464, 66.37395, 72.30796],
-                [64.76277, 64.950264, 65.80557, 67.88482, 73.24013],
-                [63.654488, 62.31394, 65.598816, 67.370674, 71.52472],
-                [62.45623, 62.461388, 62.111694, 66.06419, 72.324936],
+                [62.650208, 64.61388, 64.1676, 66.67151, 72.549095],
+                [62.699905, 64.61284, 65.24815, 66.801186, 72.43181],
+                [64.310326, 64.8985, 65.44002, 67.19502, 72.76947],
+                [63.27369, 62.90754, 65.678055, 67.20142, 72.70676],
+                [62.58354, 63.303997, 62.390503, 65.700806, 72.212715],
             ]
         )
         cd_spsdl_25 = np.array(
             [
-                [59.33189297, 62.89503765, 61.60455799, 64.80938911, 70.59576607],
-                [60.37440872, 60.69928551, 61.9694643, 64.91986465, 70.00148964],
-                [61.1297617, 63.02504444, 64.41207123, 66.37802315, 71.38513947],
-                [59.52737236, 59.45869541, 62.48176765, 66.0959053, 70.06054497],
-                [58.55439758, 59.88098335, 59.66310596, 63.86431885, 70.20335197],
+                [58.7102747, 62.32302952, 61.36541462, 63.74158669, 70.69015503],
+                [58.94279099, 61.4001379, 61.44286156, 64.70808029, 70.42274666],
+                [59.65940571, 62.35227299, 63.31204796, 64.50473785, 71.06458282],
+                [60.09864521, 59.31335735, 62.70079613, 65.46805, 70.75235939],
+                [59.34419155, 59.50090408, 59.94284725, 63.75802994, 70.25077629],
             ]
         )
         cd_spsdl_75 = np.array(
             [
-                [66.33672714, 67.13593102, 67.34234238, 68.7525959, 75.30982399],
-                [64.58539009, 66.84792709, 67.11526108, 69.7322197, 74.50746346],
-                [66.56425095, 67.85562325, 69.30602646, 69.83069992, 74.79984283],
-                [67.34252357, 65.65701294, 67.48604202, 70.948246, 73.59340286],
-                [66.26214409, 65.43437958, 64.36196518, 67.67719078, 74.33639717],
+                [65.79078293, 67.23075867, 67.50594711, 68.57876396, 74.55014038],
+                [65.39378929, 67.34802818, 67.36330605, 69.40702248, 74.43621254],
+                [66.60365868, 67.17274666, 68.90455437, 68.7287178, 74.3719368],
+                [66.52753067, 66.5525074, 67.94759941, 70.20380783, 74.38684845],
+                [65.72010803, 66.15189743, 65.57708931, 67.85847664, 74.39115524],
             ]
         )
 
@@ -254,58 +253,58 @@ def test_averaging(self):
 
         cd_spsdl_dd = np.array(
             [
-                [65.93822, 62.86854, 60.797012, 62.410725, 60.77913],
-                [68.95052, 65.88085, 63.982758, 65.66743, 61.178196],
-                [59.101044, 56.03137, 63.76194, 66.764084, 67.23888],
-                [52.0443, 48.974625, 46.74791, 48.29464, 53.098785],
-                [56.053894, 52.98422, 57.43947, 60.282322, 57.38807],
+                [66.201004, 63.131325, 61.059765, 62.673466, 61.041855],
+                [66.8727, 63.80303, 62.277332, 64.10167, 62.71208],
+                [68.71965, 65.64997, 63.751846, 65.4365, 60.947254],
+                [62.612133, 59.542458, 56.17782, 57.10649, 59.21533],
+                [58.690582, 55.620907, 63.351555, 66.3537, 66.82849],
             ]
         )
         cd_spsdl_md_head = np.array(
             [
-                [61.725582, 60.458782, 61.02544, 62.104874, 53.694523],
-                [64.73789, 63.71548, 56.60307, 55.591457, 65.14299],
-                [54.88841, 64.81213, 68.54643, 66.962105, 57.269337],
-                [47.831665, 46.342693, 55.266895, 59.975372, 62.875645],
-                [51.84126, 58.33038, 56.425198, 55.835743, 55.486942],
+                [61.988365, 60.721523, 61.288155, 62.367813, 53.957424],
+                [62.66007, 62.149723, 63.124702, 53.72768, 59.11971],
+                [64.50701, 63.48456, 56.372044, 55.36059, 64.91209],
+                [58.399498, 55.154545, 60.971836, 63.37324, 61.89729],
+                [54.477947, 64.40175, 68.13605, 66.5518, 56.858593],
             ]
         )
         cd_spsdl_md_tail = np.array(
             [
-                [33.43558, 44.184784, 33.868732, 34.39551, 34.410404],
-                [33.27611, 45.362965, 33.23099, 34.436787, 36.571167],
-                [33.29176, 45.027763, 34.02678, 35.329945, 36.35523],
-                [33.95818, 44.993164, 34.119263, 34.288776, 35.93025],
-                [34.140266, 45.39091, 33.197502, 34.189434, 35.96681],
+                [33.159134, 44.89513, 33.894135, 35.1973, 36.2197],
+                [34.903515, 45.169323, 34.188465, 34.95029, 34.81385],
+                [34.266838, 45.30183, 34.427937, 34.59744, 36.227085],
+                [33.16512, 45.08286, 35.00004, 33.66843, 35.56141],
+                [34.143913, 45.394566, 33.20116, 34.19309, 35.91248],
             ]
         )
 
         cc = np.array(
             [
-                "2023-02-04T15:05:23.49998",
-                "2023-02-04T15:05:53.49998",
-                "2023-02-04T15:06:23.49998",
-                "2023-02-04T15:06:53.49998",
-                "2023-02-04T15:07:23.49998",
+                "2023-02-04T15:05:23.499983072",
+                "2023-02-04T15:05:53.499983072",
+                "2023-02-04T15:06:23.499983072",
+                "2023-02-04T15:06:53.499983072",
+                "2023-02-04T15:07:23.499983072",
             ],
             dtype="datetime64[ns]",
         )
         cd_spsdl_avg = np.array(
             [
-                [62.4551, 59.374382, 58.97122, 61.07321, 59.783104],
-                [61.14534, 58.064617, 57.62369, 59.71631, 59.29018],
-                [62.43891, 59.358192, 59.07586, 61.207146, 60.29722],
-                [61.163094, 58.08237, 59.036198, 61.416603, 60.38328],
-                [62.242744, 59.162025, 57.95079, 59.82794, 58.536304],
+                [62.115547, 59.03482, 58.580532, 60.669807, 59.47111],
+                [61.637085, 58.556362, 57.79539, 59.804375, 58.961555],
+                [62.613922, 59.5332, 59.79988, 62.052376, 61.0739],
+                [61.275757, 58.195038, 58.81557, 61.13693, 59.859146],
+                [61.34059, 58.25987, 57.532692, 59.550877, 58.448174],
             ]
         )
         cd_spsdl_sum = np.array(
             [
-                [77.22632, 74.14559, 73.74243, 75.84442, 74.55432],
-                [75.91655, 72.83583, 72.394905, 74.487526, 74.06139],
-                [77.21013, 74.1294, 73.84707, 75.97836, 75.06843],
-                [75.9343, 72.853584, 73.80741, 76.18781, 75.154495],
-                [77.01396, 73.93324, 72.72201, 74.59916, 73.30752],
+                [79.89706, 76.81634, 76.362045, 78.451324, 77.252625],
+                [79.418594, 76.337875, 75.576904, 77.58589, 76.74307],
+                [80.39543, 77.31471, 77.58139, 79.83389, 78.85541],
+                [79.057274, 75.976555, 76.59708, 78.91844, 77.640656],
+                [79.1221, 76.04138, 75.3142, 77.33239, 76.22969],
             ]
         )
 
diff --git a/mhkit/tests/acoustics/test_io.py b/mhkit/tests/acoustics/test_io.py
index 90ca1201d..62061c0c7 100644
--- a/mhkit/tests/acoustics/test_io.py
+++ b/mhkit/tests/acoustics/test_io.py
@@ -200,11 +200,11 @@ def test_calibration(self):
         # Check time coordinate
         cc = np.array(
             [
-                "2023-02-04T15:05:08.499983310",
-                "2023-02-04T15:05:09.499959707",
+                "2023-02-04T15:05:08.499983072",
+                "2023-02-04T15:05:08.999971389",
+                "2023-02-04T15:05:09.499959945",
+                "2023-02-04T15:05:09.999948263",
                 "2023-02-04T15:05:10.499936580",
-                "2023-02-04T15:05:11.499913454",
-                "2023-02-04T15:05:12.499890089",
             ],
             dtype="datetime64[ns]",
         )
@@ -212,46 +212,46 @@ def test_calibration(self):
         cd_spsd = np.array(
             [
                 [
-                    6.63068204e-02,
-                    3.81400273e-03,
-                    9.28277032e-04,
-                    3.86833846e-04,
-                    2.31924928e-05,
+                    7.04428102e-02,
+                    4.05186564e-03,
+                    9.86163910e-04,
+                    4.10977795e-04,
+                    2.46398082e-05,
                 ],
                 [
-                    1.32674948e-01,
-                    8.07329208e-03,
-                    3.35305424e-04,
-                    8.63341841e-05,
-                    3.23737989e-04,
+                    8.22255815e-02,
+                    5.62956783e-03,
+                    1.50523430e-03,
+                    5.62088860e-05,
+                    8.08846064e-05,
                 ],
                 [
-                    1.37353862e-02,
-                    1.03924150e-02,
-                    5.24537532e-03,
-                    1.18371618e-03,
-                    5.28236923e-05,
+                    1.25805956e-01,
+                    7.65523631e-03,
+                    3.17934716e-04,
+                    8.18645956e-05,
+                    3.06975506e-04,
                 ],
                 [
-                    2.70499444e-03,
-                    1.47833274e-04,
-                    2.46503548e-04,
-                    2.36905027e-04,
-                    1.92069973e-04,
+                    3.08283050e-02,
+                    1.12449483e-03,
+                    9.16890290e-04,
+                    5.18037680e-04,
+                    1.53328923e-04,
                 ],
                 [
-                    6.80966653e-03,
-                    2.33636493e-03,
-                    3.21849897e-04,
-                    9.13295549e-05,
-                    3.50420384e-05,
+                    1.24966808e-02,
+                    9.45535593e-03,
+                    4.77241430e-03,
+                    1.07700449e-03,
+                    4.80567438e-05,
                 ],
             ]
         )
 
         np.testing.assert_allclose(td_spsd.head().values, cd_spsd, atol=1e-6)
         np.testing.assert_allclose(
-            td_spsd["time"].head().astype("int64"), cc.astype("int64"), atol=1
+            td_spsd["time_psd"].head().astype("int64"), cc.astype("int64"), atol=1
         )
 
     def test_wispr(self):
diff --git a/mhkit/tests/acoustics/test_metrics.py b/mhkit/tests/acoustics/test_metrics.py
index 5c679acc5..9a59d8494 100644
--- a/mhkit/tests/acoustics/test_metrics.py
+++ b/mhkit/tests/acoustics/test_metrics.py
@@ -21,7 +21,7 @@ def setUpClass(self):
         P = acoustics.io.read_soundtrap(file_name, sensitivity=-177)
         self.spsd = acoustics.sound_pressure_spectral_density(P, P.fs, bin_length=1)
         self.spsd_60s = acoustics.sound_pressure_spectral_density(
-            P, P.fs, bin_length=60, rms=True
+            P, P.fs, bin_length=60
         )
 
     @classmethod
@@ -51,19 +51,19 @@ def test_spl(self):
             ],
             dtype="datetime64[ns]",
         )
-        cd_spl_head = np.array([98.12284, 98.639824, 97.62718, 97.85709, 96.98539])
-        cd_spl_tail = np.array([98.420975, 98.10879, 97.430115, 97.99395, 97.95798])
+        cd_spl_head = np.array([98.38563, 98.20744, 98.40893, 98.760826, 97.21689])
+        cd_spl_tail = np.array([97.29747, 97.51031, 98.302605, 98.08264, 97.961624])
 
         cd_spl10_freq_head = np.array(
             [10.0, 12.589254, 15.848932, 19.952623, 25.118864]
         )
         cd_spl10_head = np.array(
             [
-                [63.707756, 73.40367, 71.83326, 74.295204, 82.49378],
-                [61.048367, 68.54169, 63.2604, 71.18353, 82.87061],
-                [67.130325, 69.02487, 69.4047, 74.431915, 83.363075],
-                [66.81117, 68.42907, 65.77348, 71.172745, 75.995766],
-                [66.638435, 73.6602, 65.55014, 72.049995, 79.03914],
+                [63.97053, 73.666466, 72.09614, 74.55805, 82.75655],
+                [62.93203, 66.638306, 70.98349, 77.45272, 81.752464],
+                [60.817398, 68.31071, 63.029625, 70.95255, 82.63971],
+                [62.09812, 64.15272, 69.552284, 68.90529, 80.36065],
+                [66.71991, 68.61455, 68.994385, 74.02169, 82.95276],
             ]
         )
         cd_spl10_freq_tail = np.array(
@@ -71,21 +71,21 @@ def test_spl(self):
         )
         cd_spl10_tail = np.array(
             [
-                [82.50739, 80.50211, 80.871185, 83.187004, 82.15865],
-                [83.363846, 81.93087, 81.5197, 83.476814, 82.54627],
-                [83.13403, 81.25866, 81.41169, 83.52817, 82.50404],
-                [83.35105, 81.70449, 81.42432, 83.45459, 82.16487],
-                [83.0968, 80.904686, 81.39755, 83.36778, 82.327],
+                [83.001396, 81.12602, 81.27904, 83.39552, 82.37139],
+                [83.49641, 81.45716, 81.33536, 83.458916, 82.2894],
+                [83.659706, 82.013145, 81.73298, 83.76325, 82.473526],
+                [83.58633, 82.00813, 81.56679, 83.64441, 82.30002],
+                [83.10043, 80.908325, 81.40121, 83.37144, 82.33061],
             ]
         )
         cd_spl3_freq_head = np.array([10.079368, 12.699208, 16.0, 20.158737, 25.398417])
         cd_spl3_head = np.array(
             [
-                [63.88229, 73.85718, 71.21643, 75.30319, 82.05813],
-                [61.557175, 68.491905, 63.157738, 73.00873, 83.248314],
-                [67.5524, 68.75996, 69.92572, 74.80283, 84.11074],
-                [67.03263, 68.281166, 66.243065, 72.29833, 77.29135],
-                [67.13636, 73.57136, 65.761345, 73.54653, 79.427895],
+                [64.145065, 74.11997, 71.47932, 75.56602, 82.32091],
+                [63.103104, 66.557434, 71.07715, 77.72599, 81.811295],
+                [61.326202, 68.260925, 62.92696, 72.777756, 83.01741],
+                [62.4825, 63.912766, 69.58983, 69.38629, 80.71226],
+                [67.14199, 68.34964, 69.5154, 74.39259, 83.70042],
             ]
         )
         cd_spl3_freq_tail = np.array(
@@ -93,11 +93,11 @@ def test_spl(self):
         )
         cd_spl3_tail = np.array(
             [
-                [82.13845, 80.43939, 81.25442, 83.51936, 80.834045],
-                [83.07329, 81.89704, 81.748245, 83.87166, 81.16063],
-                [82.843, 81.24031, 81.632744, 83.92745, 81.09888],
-                [83.10067, 81.60538, 81.68111, 83.73491, 80.842834],
-                [82.74249, 80.793686, 81.695526, 83.699776, 81.01264],
+                [82.71037, 81.107666, 81.50009, 83.79481, 80.966225],
+                [83.16837, 81.403625, 81.59755, 83.72969, 80.989555],
+                [83.40933, 81.91403, 81.98976, 84.04357, 81.151474],
+                [83.374664, 81.88523, 81.79578, 83.965515, 80.91496],
+                [82.746124, 80.797325, 81.69917, 83.70343, 81.01623],
             ]
         )
 
@@ -108,7 +108,7 @@ def test_spl(self):
             td_spl.tail().values, cd_spl_tail, atol=1e-6, rtol=1e-6
         )
         np.testing.assert_allclose(
-            td_spl["time"].head().astype("int64"), cc.astype("int64"), atol=1
+            td_spl["time_psd"].head().astype("int64"), cc.astype("int64"), atol=1
         )
 
         np.testing.assert_allclose(
@@ -195,29 +195,29 @@ def test_sel(self):
 
         cc = np.array(
             [
-                "2023-02-04T15:05:37.999295949",
-                "2023-02-04T15:06:37.997894048",
-                "2023-02-04T15:07:37.996495485",
-                "2023-02-04T15:08:37.995094776",
-                "2023-02-04T15:09:37.993695497",
+                "2023-02-04T15:05:37.999294757",
+                "2023-02-04T15:06:07.998594760",
+                "2023-02-04T15:06:37.997895240",
+                "2023-02-04T15:07:07.997195243",
+                "2023-02-04T15:07:37.996495246",
             ],
             dtype="datetime64[ns]",
         )
-        cd_sel = np.array([116.18274, 121.698654, 143.28117, 147.37479, 127.01828])
-        cd_sel_lf = np.array([112.363075, 120.177086, 142.74931, 146.57983, 125.83696])
-        cd_sel_hf = np.array([112.22166, 118.88085, 139.94121, 144.33324, 124.328995])
-        cd_sel_vhf = np.array([110.23136, 114.00643, 133.20006, 139.13504, 118.88397])
-        cd_sel_pw = np.array([112.22191, 119.87286, 141.67467, 145.6534, 125.419975])
-        cd_sel_ow = np.array([110.945404, 118.06397, 139.08435, 143.51094, 123.68077])
-
-        np.testing.assert_allclose(td_sel.values, cd_sel, atol=1e-5)
-        np.testing.assert_allclose(td_sel_lf.values, cd_sel_lf, atol=1e-5)
-        np.testing.assert_allclose(td_sel_hf.values, cd_sel_hf, atol=1e-5)
-        np.testing.assert_allclose(td_sel_vhf.values, cd_sel_vhf, atol=1e-5)
-        np.testing.assert_allclose(td_sel_pw.values, cd_sel_pw, atol=1e-5)
-        np.testing.assert_allclose(td_sel_ow.values, cd_sel_ow, atol=1e-5)
+        cd_sel = np.array([116.081825, 117.38323, 120.408775, 127.583755, 143.19513])
+        cd_sel_lf = np.array([112.261665, 114.67835, 118.88702, 126.86423, 142.66327])
+        cd_sel_hf = np.array([112.121216, 114.001945, 117.59107, 124.69318, 139.85515])
+        cd_sel_vhf = np.array([110.1319, 110.81934, 112.71749, 118.208664, 133.114])
+        cd_sel_pw = np.array([112.120964, 114.46142, 118.58291, 126.152115, 141.58862])
+        cd_sel_ow = np.array([110.844246, 113.00219, 116.77398, 123.92641, 138.99828])
+
+        np.testing.assert_allclose(td_sel.head().values, cd_sel, atol=1e-5)
+        np.testing.assert_allclose(td_sel_lf.head().values, cd_sel_lf, atol=1e-5)
+        np.testing.assert_allclose(td_sel_hf.head().values, cd_sel_hf, atol=1e-5)
+        np.testing.assert_allclose(td_sel_vhf.head().values, cd_sel_vhf, atol=1e-5)
+        np.testing.assert_allclose(td_sel_pw.head().values, cd_sel_pw, atol=1e-5)
+        np.testing.assert_allclose(td_sel_ow.head().values, cd_sel_ow, atol=1e-5)
         np.testing.assert_allclose(
-            td_sel["time"].astype("int64"), cc.astype("int64"), atol=1
+            td_sel["time_psd"].head().astype("int64"), cc.astype("int64"), atol=1
         )
 
     def test_spl_vs_sel(self):
diff --git a/mhkit/tests/dolfyn/base.py b/mhkit/tests/dolfyn/base.py
index d03fbe8bf..eb6d6b281 100644
--- a/mhkit/tests/dolfyn/base.py
+++ b/mhkit/tests/dolfyn/base.py
@@ -23,7 +23,7 @@ def assert_allclose(dat0, dat1, *args, **kwargs):
     # For problematic time check
     names = []
     for v in dat0.variables:
-        if np.issubdtype(dat0[v].dtype, np.datetime64):
+        if v in dat1.variables and np.issubdtype(dat0[v].dtype, np.datetime64):
             dat0[v] = time.dt642epoch(dat0[v])
             dat1[v] = time.dt642epoch(dat1[v])
             names.append(v)
diff --git a/mhkit/tests/dolfyn/test_analysis.py b/mhkit/tests/dolfyn/test_analysis.py
index 62fabdaf0..0eda42533 100644
--- a/mhkit/tests/dolfyn/test_analysis.py
+++ b/mhkit/tests/dolfyn/test_analysis.py
@@ -65,11 +65,16 @@ def test_calc_func(self):
         test_ds["tke_vec_demean"] = c.turbulent_kinetic_energy(
             self.adv1.vel, detrend=False
         )
-        test_ds["psd"] = c.power_spectral_density(self.adv1.vel, freq_units="Hz")
+        test_ds["psd"] = c.power_spectral_density(
+            self.adv1.vel, freq_units="Hz", pct_overlap=0
+        )
 
         # Test ADCP single vector spectra, cross-spectra to test radians code
         test_ds_adp["psd_b5"] = c2.power_spectral_density(
-            self.adp.vel_b5.isel(range_b5=5), freq_units="rad", window="hamm"
+            self.adp.vel_b5.isel(range_b5=5),
+            freq_units="rad",
+            window="hamming",
+            pct_overlap=0,
         )
         test_ds_adp["tke_b5"] = c2.turbulent_kinetic_energy(self.adp.vel_b5)
 
@@ -81,25 +86,20 @@ def test_calc_func(self):
         assert_allclose(test_ds, load("vector_data01_func.nc"), atol=1e-6)
         assert_allclose(test_ds_adp, load("BenchFile01_func.nc"), atol=1e-6)
 
-    def test_fft_freq(self):
-        f = self.adv_tool._fft_freq(units="Hz")
-        omega = self.adv_tool._fft_freq(units="rad/s")
-
-        np.testing.assert_equal(f, np.arange(1, 17, 1, dtype="float"))
-        np.testing.assert_equal(omega, np.arange(1, 17, 1, dtype="float") * (2 * np.pi))
-
     def test_adv_turbulence(self):
         dat = tv.dat.copy(deep=True)
         bnr = avm.ADVBinner(n_bin=20.0, fs=dat.fs)
-        tdat = bnr(dat)
-        acov = bnr.autocovariance(dat["vel"])
-
-        assert_identical(tdat, avm.turbulence_statistics(dat, n_bin=20.0, fs=dat.fs))
+        tdat = bnr.bin_average(dat)
+        tdat["psd"] = bnr.power_spectral_density(
+            dat["vel"],
+            freq_units="rad",
+            window="hann",
+        )
 
         tdat["stress_detrend"] = bnr.reynolds_stress(dat["vel"])
         tdat["stress_demean"] = bnr.reynolds_stress(dat["vel"], detrend=False)
         tdat["csd"] = bnr.cross_spectral_density(
-            dat["vel"], freq_units="rad", window="hamm", n_fft_coh=10
+            dat["vel"], freq_units="rad", window="hann", n_fft_coh=10
         )
         tdat["LT83"] = bnr.dissipation_rate_LT83(tdat["psd"], tdat.velds.U_mag)
         tdat["noise"] = bnr.doppler_noise_level(tdat["psd"], pct_fN=0.8)
@@ -107,13 +107,16 @@ def test_adv_turbulence(self):
             tdat["psd"], tdat.velds.U_mag, noise=tdat["noise"]
         )
         tdat["SF"] = bnr.dissipation_rate_SF(dat["vel"][0], tdat.velds.U_mag)
+        tdat["stress_vec"] = bnr.reynolds_stress(dat["vel"])
+        tdat["tke_vec"] = bnr.turbulent_kinetic_energy(dat["vel"], noise=tdat["noise"])
         tdat["TE01"] = bnr.dissipation_rate_TE01(dat, tdat)
+        acov = bnr.autocovariance(dat["vel"])
         tdat["L"] = bnr.integral_length_scales(acov, tdat.velds.U_mag)
         slope_check = bnr.check_turbulence_cascade_slope(
-            tdat["psd"][-1].mean("time"), freq_range=[10, 100]
+            tdat["psd"][-1].mean("time_psd"), freq_range=[10, 100]
         )
         tdat["psd_noise"] = bnr.power_spectral_density(
-            dat["vel"], freq_units="rad", noise=[0.06, 0.04, 0.01]
+            dat["vel"], freq_units="rad", noise=[0.06, 0.04, 0.01], pct_overlap=0
         )
 
         if make_data:
@@ -143,12 +146,14 @@ def test_adcp_turbulence(self):
         dat.velds.rotate2("beam")
 
         tdat["psd"] = bnr.power_spectral_density(
-            dat["vel_b5"].isel(range_b5=len(dat["range_b5"]) // 2), freq_units="Hz"
+            dat["vel_b5"].isel(range_b5=len(dat["range_b5"]) // 2),
+            freq_units="Hz",
+            pct_overlap=0,
         )
         tdat["noise"] = bnr.doppler_noise_level(tdat["psd"], pct_fN=0.8)
         tdat["stress_vec4"] = bnr.reynolds_stress_4beam(
             dat, noise=tdat["noise"], orientation="up", beam_angle=25
-        )
+        )  # upvp is always nan here
         tdat["tke_vec5"], tdat["stress_vec5"] = bnr.stress_tensor_5beam(
             dat, noise=tdat["noise"], orientation="up", beam_angle=25, tke_only=False
         )
@@ -179,14 +184,16 @@ def test_adcp_turbulence(self):
         ) = bnr.dissipation_rate_SF(dat["vel"].isel(dir=2), r_range=[1, 5])
 
         slope_check = bnr.check_turbulence_cascade_slope(
-            tdat["psd"].mean("time_b5"), freq_range=[0.4, 4]
+            tdat["psd"].mean("time_psd"), freq_range=[0.4, 4]
         )
         # Check noise subtraction in psd function
-        tdat["psd_noise"] = bnr.power_spectral_density(
+        psd_noise = bnr.power_spectral_density(
             dat["vel_b5"].isel(range_b5=len(dat["range_b5"]) // 2),
             freq_units="Hz",
-            noise=0.01,
+            noise=0.0001,
+            pct_overlap=0.5,
         )
+        tdat["psd_noise"] = psd_noise.rename({"time_psd": "time_psd_50pct"})
         tdat["friction_vel"] = bnr.friction_velocity(
             tdat, upwp_=tdat["stress_vec5"].sel(tau="upwp_"), z_inds=slice(1, 5), H=50
         )
diff --git a/mhkit/tests/dolfyn/test_shortcuts.py b/mhkit/tests/dolfyn/test_shortcuts.py
index 948736603..2b7b37868 100644
--- a/mhkit/tests/dolfyn/test_shortcuts.py
+++ b/mhkit/tests/dolfyn/test_shortcuts.py
@@ -15,7 +15,10 @@ class analysis_testcase(unittest.TestCase):
     def setUpClass(self):
         dat = tv.dat.copy(deep=True)
         self.dat = rotate2(dat, "earth", inplace=False)
-        self.tdat = avm.turbulence_statistics(self.dat, n_bin=20.0, fs=self.dat.fs)
+        bnr = avm.ADVBinner(n_bin=20.0, fs=dat.fs)
+        self.tdat = bnr.bin_average(self.dat)
+        self.tdat["tke_vec"] = bnr.turbulent_kinetic_energy(self.dat["vel"])
+        self.tdat["stress_vec"] = bnr.reynolds_stress(self.dat["vel"])
 
         short = xr.Dataset()
         short["u"] = self.tdat.velds.u
diff --git a/mhkit/tests/dolfyn/test_tools.py b/mhkit/tests/dolfyn/test_tools.py
index 6abfe5e3d..44ebf9a06 100644
--- a/mhkit/tests/dolfyn/test_tools.py
+++ b/mhkit/tests/dolfyn/test_tools.py
@@ -15,12 +15,12 @@ def tearDownClass(self):
         pass
 
     def test_detrend_array(self):
-        d = tools.misc.detrend_array(self.array)
+        d = tools.detrend_array(self.array)
         assert_allclose(d, np.zeros(10), atol=1e-10)
 
     def test_group(self):
         array = np.concatenate((self.array, self.array))
-        d = tools.misc.group(array)
+        d = tools.group(array)
 
         out = np.array([slice(1, 20, None)], dtype=object)
         assert_equal(d, out)
@@ -35,7 +35,7 @@ def test_slice(self):
         )
         out = np.zeros((3, 3, 3))
         slices = list()
-        for slc in tools.misc.slice1d_along_axis((3, 3, 3), axis=-1):
+        for slc in tools.slice1d_along_axis((3, 3, 3), axis=-1):
             slices.append(slc)
             out[slc] = tensor[slc]
 
@@ -56,8 +56,8 @@ def test_slice(self):
 
     def test_fillgaps(self):
         arr = np.concatenate((self.array, self.nan, self.array))
-        d1 = tools.misc.fillgaps(arr.copy())
-        d2 = tools.misc.fillgaps(arr.copy(), maxgap=1)
+        d1 = tools.fillgaps(arr.copy())
+        d2 = tools.fillgaps(arr.copy(), maxgap=1)
 
         out1 = np.array(
             [
@@ -121,8 +121,8 @@ def test_interpgaps(self):
         arr = np.concatenate((self.array, self.nan, self.array, self.nan))
 
         t = np.arange(0, arr.shape[0], 0.1)
-        d1 = tools.misc.interpgaps(arr.copy(), t, extrapFlg=True)
-        d2 = tools.misc.interpgaps(arr.copy(), t, maxgap=1)
+        d1 = tools.interpgaps(arr.copy(), t, extrapFlg=True)
+        d2 = tools.interpgaps(arr.copy(), t, maxgap=1)
 
         out1 = np.array(
             [
@@ -192,7 +192,7 @@ def test_medfiltnan(self):
         arr = np.concatenate((self.array, self.nan, self.array))
         a = np.concatenate((arr[None, :], arr[None, :]), axis=0)
 
-        d = tools.misc.medfiltnan(a, [1, 5], thresh=3)
+        d = tools.medfiltnan(a, [1, 5], thresh=3)
 
         out = np.array(
             [
@@ -252,80 +252,12 @@ def test_medfiltnan(self):
         assert_allclose(d, out, atol=1e-10)
 
     def test_deg_conv(self):
-        d = tools.misc.convert_degrees(self.array)
+        d = tools.convert_degrees(self.array)
 
         out = np.array([90.0, 89.0, 88.0, 87.0, 86.0, 85.0, 84.0, 83.0, 82.0, 81.0])
 
         assert_allclose(d, out, atol=1e-10)
 
-    def test_fft_frequency(self):
-        fs = 1000  # Sampling frequency
-        nfft = 512  # Number of samples in a window
-
-        # Test for full frequency range
-        freq_full = tools.fft.fft_frequency(nfft, fs, full=True)
-        assert_equal(len(freq_full), nfft)
-
-        # Check symmetry of positive and negative frequencies, ignoring the zero frequency
-        positive_freqs = freq_full[1 : int(nfft / 2)]
-        negative_freqs = freq_full[int(nfft / 2) + 1 :]
-        assert_allclose(positive_freqs, -negative_freqs[::-1])
-
-    def test_stepsize(self):
-        # Case 1: l < nfft
-        step, nens, nfft = tools.fft._stepsize(100, 200)
-        assert_equal((step, nens, nfft), (0, 1, 100))
-
-        # Case 2: l == nfft
-        step, nens, nfft = tools.fft._stepsize(200, 200)
-        assert_equal((step, nens, nfft), (0, 1, 200))
-
-        # Case 3: l > nfft, no nens
-        step, nens, nfft = tools.fft._stepsize(300, 100)
-        expected_nens = int(2.0 * 300 / 100)
-        expected_step = int((300 - 100) / (expected_nens - 1))
-        assert_equal((step, nens, nfft), (expected_step, expected_nens, 100))
-
-        # Case 4: l > nfft, with nens
-        step, nens, nfft = tools.fft._stepsize(300, 100, nens=5)
-        expected_step = int((300 - 100) / (5 - 1))
-        assert_equal((step, nens, nfft), (expected_step, 5, 100))
-
-        # Case 5: l > nfft, with step
-        step, nens, nfft = tools.fft._stepsize(300, 100, step=50)
-        expected_nens = int((300 - 100) / 50 + 1)
-        assert_equal((step, nens, nfft), (50, expected_nens, 100))
-
-        # Case 6: nens is 1
-        step, nens, nfft = tools.fft._stepsize(300, 100, nens=1)
-        assert_equal((step, nens, nfft), (0, 1, 100))
-
-    def test_cpsd_quasisync_1D(self):
-        fs = 1000  # Sample rate
-        nfft = 512  # Number of points in the fft
-
-        # Test with signals of same length
-        a = np.random.normal(0, 1, 1000)
-        b = np.random.normal(0, 1, 1000)
-        cpsd = tools.fft.cpsd_quasisync_1D(a, b, nfft, fs)
-        self.assertEqual(cpsd.shape, (nfft // 2,))
-
-        # Test with signals of different lengths
-        a = np.random.normal(0, 1, 1500)
-        b = np.random.normal(0, 1, 1000)
-        cpsd = tools.fft.cpsd_quasisync_1D(a, b, nfft, fs)
-        self.assertEqual(cpsd.shape, (nfft // 2,))
-
-        # Test with different window types
-        for window in [None, 1, "hann"]:
-            cpsd = tools.fft.cpsd_quasisync_1D(a, b, nfft, fs, window=window)
-            self.assertEqual(cpsd.shape, (nfft // 2,))
-
-        # Test with a custom window
-        custom_window = np.hamming(nfft)
-        cpsd = tools.fft.cpsd_quasisync_1D(a, b, nfft, fs, window=custom_window)
-        self.assertEqual(cpsd.shape, (nfft // 2,))
-
 
 if __name__ == "__main__":
     unittest.main()