diff --git a/RefactoringADCP.ipynb b/RefactoringADCP.ipynb
index cf94b05..0212d17 100644
--- a/RefactoringADCP.ipynb
+++ b/RefactoringADCP.ipynb
@@ -74,8 +74,8 @@
      "output_type": "stream",
      "text": [
       "Loaded ADCP_refactoring_test_files/Skag_test.pqt\n",
-      "2023-03-28 12:03:32 : Finished loading ADCP data\n",
-      "2023-03-28 12:03:33 : Added glider variables\n"
+      "2023-03-28 16:26:35 : Finished loading ADCP data\n",
+      "2023-03-28 16:26:36 : Added glider variables\n"
      ]
     }
    ],
@@ -117,7 +117,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "2023-03-28 12:03:33 : Depth calculation of cells correct. Beam 1 2 4 match on down; 3 2 4 match on up. (Tested on downward facing)\n"
+      "2023-03-28 16:26:36 : Depth calculation of cells correct. Beam 1 2 4 match on down; 3 2 4 match on up. (Tested on downward facing)\n"
      ]
     },
     {
@@ -132,7 +132,7 @@
     }
    ],
    "source": [
-    "ADCP = process_adcp.remapADCPdepth(ADCP, options)\n"
+    "ADCP = process_adcp.remapADCPdepth(ADCP, options)"
    ]
   },
   {
@@ -176,7 +176,7 @@
       " [-5.39439514e-04  8.54898793e-01 -8.35052039e-03]\n",
       " [-9.91747987e-03 -5.26418160e-03  8.53100949e-01]]\n",
       "[ 0.02260588  0.04487561 -0.01074626]\n",
-      "2023-03-28 12:04:06 : Corrected heading and accounted for declination\n"
+      "2023-03-28 16:27:02 : Corrected heading and accounted for declination\n"
      ]
     },
     {
@@ -212,10 +212,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "2023-03-28 12:04:08 : Corrected beam 1 velocity for sound speed.\n",
-      "2023-03-28 12:04:08 : Corrected beam 2 velocity for sound speed.\n",
-      "2023-03-28 12:04:08 : Corrected beam 3 velocity for sound speed.\n",
-      "2023-03-28 12:04:08 : Corrected beam 4 velocity for sound speed.\n"
+      "2023-03-28 16:27:03 : Corrected beam 1 velocity for sound speed.\n",
+      "2023-03-28 16:27:03 : Corrected beam 2 velocity for sound speed.\n",
+      "2023-03-28 16:27:03 : Corrected beam 3 velocity for sound speed.\n",
+      "2023-03-28 16:27:03 : Corrected beam 4 velocity for sound speed.\n"
      ]
     }
    ],
@@ -244,18 +244,18 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "2023-03-28 12:04:14 : Beam 1 correlation: 43.8% removed\n",
-      "2023-03-28 12:04:14 : Beam 1 amplitude: 0.8% removed\n",
-      "2023-03-28 12:04:14 : Beam 1 velocity: 1.7% removed\n",
-      "2023-03-28 12:04:15 : Beam 2 correlation: 44.9% removed\n",
-      "2023-03-28 12:04:15 : Beam 2 amplitude: 0.7% removed\n",
-      "2023-03-28 12:04:15 : Beam 2 velocity: 1.8% removed\n",
-      "2023-03-28 12:04:15 : Beam 3 correlation: 46.0% removed\n",
-      "2023-03-28 12:04:15 : Beam 3 amplitude: 0.7% removed\n",
-      "2023-03-28 12:04:15 : Beam 3 velocity: 2.1% removed\n",
-      "2023-03-28 12:04:16 : Beam 4 correlation: 43.8% removed\n",
-      "2023-03-28 12:04:16 : Beam 4 amplitude: 0.7% removed\n",
-      "2023-03-28 12:04:16 : Beam 4 velocity: 1.7% removed\n"
+      "2023-03-28 16:27:07 : Beam 1 correlation: 43.8% removed\n",
+      "2023-03-28 16:27:07 : Beam 1 amplitude: 0.8% removed\n",
+      "2023-03-28 16:27:08 : Beam 1 velocity: 1.7% removed\n",
+      "2023-03-28 16:27:08 : Beam 2 correlation: 44.9% removed\n",
+      "2023-03-28 16:27:08 : Beam 2 amplitude: 0.7% removed\n",
+      "2023-03-28 16:27:08 : Beam 2 velocity: 1.8% removed\n",
+      "2023-03-28 16:27:08 : Beam 3 correlation: 46.0% removed\n",
+      "2023-03-28 16:27:08 : Beam 3 amplitude: 0.7% removed\n",
+      "2023-03-28 16:27:08 : Beam 3 velocity: 2.1% removed\n",
+      "2023-03-28 16:27:08 : Beam 4 correlation: 43.8% removed\n",
+      "2023-03-28 16:27:08 : Beam 4 amplitude: 0.7% removed\n",
+      "2023-03-28 16:27:09 : Beam 4 velocity: 1.7% removed\n"
      ]
     },
     {
@@ -358,3003 +358,6 @@
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:                    (time: 277034, bin: 30, Physicalbeam_dim: 4)\n",
-       "Coordinates:\n",
-       "  * time                       (time) datetime64[ns] 2021-07-22T08:30:00.4382...\n",
-       "    Velocity Range             (bin) float32 1.2 2.2 3.2 4.2 ... 28.2 29.2 30.2\n",
-       "    Correlation Range          (bin) float32 1.2 2.2 3.2 4.2 ... 28.2 29.2 30.2\n",
-       "    Amplitude Range            (bin) float32 1.2 2.2 3.2 4.2 ... 28.2 29.2 30.2\n",
-       "    Latitude                   (time) float64 58.25 58.25 58.25 ... nan nan nan\n",
-       "    Longitude                  (time) float64 10.8 10.8 10.8 ... nan nan nan\n",
-       "    profileNum                 (time) float64 1.0 1.0 1.0 1.0 ... nan nan nan\n",
-       "    Depth                      (time) float64 0.9243 0.9739 0.9362 ... nan nan\n",
-       "  * bin                        (bin) int64 0 1 2 3 4 5 6 ... 24 25 26 27 28 29\n",
-       "Dimensions without coordinates: Physicalbeam_dim\n",
-       "Data variables: (12/55)\n",
-       "    VelocityBeam1              (time, bin) float64 dask.array&lt;chunksize=(138492, 30), meta=np.ndarray&gt;\n",
-       "    VelocityBeam2              (time, bin) float64 dask.array&lt;chunksize=(138492, 30), meta=np.ndarray&gt;\n",
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-       "    VelocityBeam4              (time, bin) float64 dask.array&lt;chunksize=(138492, 30), meta=np.ndarray&gt;\n",
-       "    CorrelationBeam1           (time, bin) float32 dask.array&lt;chunksize=(138492, 30), meta=np.ndarray&gt;\n",
-       "    CorrelationBeam2           (time, bin) float32 dask.array&lt;chunksize=(138492, 30), meta=np.ndarray&gt;\n",
-       "    ...                         ...\n",
-       "    D4                         (time, bin) float64 -0.088 -0.9316 ... nan nan\n",
-       "    Heading_old                (time) float32 169.4 193.7 226.1 ... 5.82 6.49\n",
-       "    X4                         (time, bin) float64 nan nan nan ... nan nan nan\n",
-       "    Y4                         (time, bin) float64 nan nan nan ... nan nan nan\n",
-       "    Z4                         (time, bin) float64 nan nan nan ... nan nan nan\n",
-       "    ZZ4                        (time, bin) float64 nan nan nan ... nan nan nan</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-e62c1780-1a0a-42c2-b438-8e5835302daf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e62c1780-1a0a-42c2-b438-8e5835302daf' 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>: 277034</li><li><span class='xr-has-index'>bin</span>: 30</li><li><span>Physicalbeam_dim</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-858b2cff-2e47-442d-ae89-180f2b425b8e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-858b2cff-2e47-442d-ae89-180f2b425b8e' class='xr-section-summary' >Coordinates: <span>(9)</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'>2021-07-22T08:30:00.438299904 .....</div><input id='attrs-02fa242f-3255-4b89-90b9-9bb1d981694b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02fa242f-3255-4b89-90b9-9bb1d981694b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57a9047d-3b74-42c2-930b-e46e1e3f94ff' class='xr-var-data-in' type='checkbox'><label for='data-57a9047d-3b74-42c2-930b-e46e1e3f94ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>time of measurement</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-07-22T08:30:00.438299904&#x27;, &#x27;2021-07-22T08:30:10.438499840&#x27;,\n",
-       "       &#x27;2021-07-22T08:30:20.438599936&#x27;, ..., &#x27;2021-08-23T11:01:19.438499840&#x27;,\n",
-       "       &#x27;2021-08-23T11:01:29.438599936&#x27;, &#x27;2021-08-23T11:01:39.438499840&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Velocity Range</span></div><div class='xr-var-dims'>(bin)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.2 2.2 3.2 4.2 ... 28.2 29.2 30.2</div><input id='attrs-c02c55b2-400f-4b65-8402-56984213401a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c02c55b2-400f-4b65-8402-56984213401a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c903263-9af6-4b88-86bb-497de91225c7' class='xr-var-data-in' type='checkbox'><label for='data-3c903263-9af6-4b88-86bb-497de91225c7' title='Show/Hide data repr'><svg class='icon xr-icon-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>description :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([ 1.2,  2.2,  3.2,  4.2,  5.2,  6.2,  7.2,  8.2,  9.2, 10.2, 11.2, 12.2,\n",
-       "       13.2, 14.2, 15.2, 16.2, 17.2, 18.2, 19.2, 20.2, 21.2, 22.2, 23.2, 24.2,\n",
-       "       25.2, 26.2, 27.2, 28.2, 29.2, 30.2], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Correlation Range</span></div><div class='xr-var-dims'>(bin)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.2 2.2 3.2 4.2 ... 28.2 29.2 30.2</div><input id='attrs-cf4f1e64-cdb8-4a06-987b-955eb62f8c4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf4f1e64-cdb8-4a06-987b-955eb62f8c4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-326a5b57-c089-4cca-84be-7889dba70703' class='xr-var-data-in' type='checkbox'><label for='data-326a5b57-c089-4cca-84be-7889dba70703' title='Show/Hide data repr'><svg class='icon xr-icon-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>description :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([ 1.2,  2.2,  3.2,  4.2,  5.2,  6.2,  7.2,  8.2,  9.2, 10.2, 11.2, 12.2,\n",
-       "       13.2, 14.2, 15.2, 16.2, 17.2, 18.2, 19.2, 20.2, 21.2, 22.2, 23.2, 24.2,\n",
-       "       25.2, 26.2, 27.2, 28.2, 29.2, 30.2], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Amplitude Range</span></div><div class='xr-var-dims'>(bin)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.2 2.2 3.2 4.2 ... 28.2 29.2 30.2</div><input id='attrs-3aa824b4-266b-4295-8632-60936c7c50c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3aa824b4-266b-4295-8632-60936c7c50c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85630783-d2a1-4ff5-84ec-5ca6e595d7bd' class='xr-var-data-in' type='checkbox'><label for='data-85630783-d2a1-4ff5-84ec-5ca6e595d7bd' title='Show/Hide data repr'><svg class='icon xr-icon-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>description :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([ 1.2,  2.2,  3.2,  4.2,  5.2,  6.2,  7.2,  8.2,  9.2, 10.2, 11.2, 12.2,\n",
-       "       13.2, 14.2, 15.2, 16.2, 17.2, 18.2, 19.2, 20.2, 21.2, 22.2, 23.2, 24.2,\n",
-       "       25.2, 26.2, 27.2, 28.2, 29.2, 30.2], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Latitude</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>58.25 58.25 58.25 ... nan nan nan</div><input id='attrs-0ed18967-b8de-48d7-8e75-423dcf51b6e2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0ed18967-b8de-48d7-8e75-423dcf51b6e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66a416ee-8d76-4864-a701-7f59256f8003' class='xr-var-data-in' type='checkbox'><label for='data-66a416ee-8d76-4864-a701-7f59256f8003' title='Show/Hide data 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([58.2541277 , 58.25422773, 58.25430554, ...,         nan,\n",
-       "               nan,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Longitude</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.8 10.8 10.8 10.8 ... nan nan nan</div><input id='attrs-7c2e0ce4-7abd-4148-8a2b-d5e28e7b231f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7c2e0ce4-7abd-4148-8a2b-d5e28e7b231f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f338207c-7c9c-4e63-9545-6fea23df2f23' class='xr-var-data-in' type='checkbox'><label for='data-f338207c-7c9c-4e63-9545-6fea23df2f23' title='Show/Hide data 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([10.80093133, 10.80111472, 10.80143874, ...,         nan,\n",
-       "               nan,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>profileNum</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... nan nan nan nan</div><input id='attrs-34b5de4f-ae69-4e1e-8978-0f540063e6a2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-34b5de4f-ae69-4e1e-8978-0f540063e6a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4588e1e8-042a-4c66-9c3f-91f4e058ccad' class='xr-var-data-in' type='checkbox'><label for='data-4588e1e8-042a-4c66-9c3f-91f4e058ccad' title='Show/Hide data 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.,  1.,  1., ..., nan, nan, nan])</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'>float64</div><div class='xr-var-preview xr-preview'>0.9243 0.9739 0.9362 ... nan nan</div><input id='attrs-e5f991ab-595b-4c8d-9b15-139781c9dd74' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e5f991ab-595b-4c8d-9b15-139781c9dd74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d5b04ff-5bb6-49ac-87a2-a02c81b29885' class='xr-var-data-in' type='checkbox'><label for='data-8d5b04ff-5bb6-49ac-87a2-a02c81b29885' title='Show/Hide data 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([0.92433388, 0.97386933, 0.93622238, ...,        nan,        nan,\n",
-       "              nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>bin</span></div><div class='xr-var-dims'>(bin)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 24 25 26 27 28 29</div><input id='attrs-3ac57911-e81c-4b44-bbc8-302ce03f74a1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3ac57911-e81c-4b44-bbc8-302ce03f74a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02a12e74-e8fe-46be-89c9-4fac140e573a' class='xr-var-data-in' type='checkbox'><label for='data-02a12e74-e8fe-46be-89c9-4fac140e573a' title='Show/Hide data 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,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b83b2a4c-ff99-42dd-8080-98eaf034a5b7' class='xr-section-summary-in' type='checkbox'  ><label for='section-b83b2a4c-ff99-42dd-8080-98eaf034a5b7' class='xr-section-summary' >Data variables: <span>(55)</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>VelocityBeam1</span></div><div class='xr-var-dims'>(time, bin)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(138492, 30), meta=np.ndarray&gt;</div><input id='attrs-46b9133e-53e5-4c2a-b463-06087eb10c53' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-46b9133e-53e5-4c2a-b463-06087eb10c53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5953beb-47d0-4eae-b79d-ca0ca6dad2c1' class='xr-var-data-in' type='checkbox'><label for='data-d5953beb-47d0-4eae-b79d-ca0ca6dad2c1' title='Show/Hide data 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'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table>\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 63.41 MiB </td>\n",
-       "                        <td> 31.71 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (277034, 30) </td>\n",
-       "                        <td> (138542, 30) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Count </th>\n",
-       "                        <td> 46 Tasks </td>\n",
-       "                        <td> 2 Chunks </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> float64 </td>\n",
-       "                    <td> numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
-       "\n",
-       "  <!-- Horizontal lines -->\n",
-       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"0\" y1=\"59\" x2=\"25\" y2=\"59\" />\n",
-       "  <line x1=\"0\" y1=\"120\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Vertical lines -->\n",
-       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Colored Rectangle -->\n",
-       "  <polygon points=\"0.0,0.0 25.412616514582485,0.0 25.412616514582485,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
-       "\n",
-       "  <!-- Text -->\n",
-       "  <text x=\"12.706308\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >30</text>\n",
-       "  <text x=\"45.412617\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,45.412617,60.000000)\">277034</text>\n",
-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VelocityBeam2</span></div><div class='xr-var-dims'>(time, bin)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(138492, 30), meta=np.ndarray&gt;</div><input id='attrs-5b7cb4a4-d771-424d-9f7d-ba858de42cd3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5b7cb4a4-d771-424d-9f7d-ba858de42cd3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5df1957c-39dd-4373-8e40-86030fb84a66' class='xr-var-data-in' type='checkbox'><label for='data-5df1957c-39dd-4373-8e40-86030fb84a66' title='Show/Hide data 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'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table>\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 63.41 MiB </td>\n",
-       "                        <td> 31.71 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (277034, 30) </td>\n",
-       "                        <td> (138542, 30) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Count </th>\n",
-       "                        <td> 46 Tasks </td>\n",
-       "                        <td> 2 Chunks </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> float64 </td>\n",
-       "                    <td> numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
-       "\n",
-       "  <!-- Horizontal lines -->\n",
-       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"0\" y1=\"59\" x2=\"25\" y2=\"59\" />\n",
-       "  <line x1=\"0\" y1=\"120\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Vertical lines -->\n",
-       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Colored Rectangle -->\n",
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-       "\n",
-       "  <!-- Text -->\n",
-       "  <text x=\"12.706308\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >30</text>\n",
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-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VelocityBeam3</span></div><div class='xr-var-dims'>(time, bin)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(138492, 30), meta=np.ndarray&gt;</div><input id='attrs-900ea590-78f5-47da-a1e7-e2f3c573b026' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-900ea590-78f5-47da-a1e7-e2f3c573b026' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87d1d41e-61b8-43e7-b3d1-e57fbc6889a1' class='xr-var-data-in' type='checkbox'><label for='data-87d1d41e-61b8-43e7-b3d1-e57fbc6889a1' title='Show/Hide data 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'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table>\n",
-       "                <thead>\n",
-       "                    <tr>\n",
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-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 63.41 MiB </td>\n",
-       "                        <td> 31.71 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (277034, 30) </td>\n",
-       "                        <td> (138542, 30) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Count </th>\n",
-       "                        <td> 46 Tasks </td>\n",
-       "                        <td> 2 Chunks </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> float64 </td>\n",
-       "                    <td> numpy.ndarray </td>\n",
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-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
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-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VelocityBeam4</span></div><div class='xr-var-dims'>(time, bin)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(138492, 30), meta=np.ndarray&gt;</div><input id='attrs-a448302f-9a06-410d-ab6a-984a49ed6acd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a448302f-9a06-410d-ab6a-984a49ed6acd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47308333-9615-4624-820f-5557031396c1' class='xr-var-data-in' type='checkbox'><label for='data-47308333-9615-4624-820f-5557031396c1' title='Show/Hide data 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'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table>\n",
-       "                <thead>\n",
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-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 63.41 MiB </td>\n",
-       "                        <td> 31.71 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (277034, 30) </td>\n",
-       "                        <td> (138542, 30) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Count </th>\n",
-       "                        <td> 46 Tasks </td>\n",
-       "                        <td> 2 Chunks </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> float64 </td>\n",
-       "                    <td> numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
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-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CorrelationBeam1</span></div><div class='xr-var-dims'>(time, bin)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(138492, 30), meta=np.ndarray&gt;</div><input id='attrs-0e182d69-fefa-4c8c-9360-116445ea536f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e182d69-fefa-4c8c-9360-116445ea536f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f343b839-5ab2-44c7-a5e5-bd22730ff168' class='xr-var-data-in' type='checkbox'><label for='data-f343b839-5ab2-44c7-a5e5-bd22730ff168' title='Show/Hide data repr'><svg class='icon xr-icon-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>description :</span></dt><dd>Percent (100 = full scale)</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table>\n",
-       "                <thead>\n",
-       "                    <tr>\n",
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-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 31.70 MiB </td>\n",
-       "                        <td> 15.85 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (277034, 30) </td>\n",
-       "                        <td> (138542, 30) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Count </th>\n",
-       "                        <td> 6 Tasks </td>\n",
-       "                        <td> 2 Chunks </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> float32 </td>\n",
-       "                    <td> numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
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-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CorrelationBeam2</span></div><div class='xr-var-dims'>(time, bin)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(138492, 30), meta=np.ndarray&gt;</div><input id='attrs-33d27415-7c83-47d2-8f5c-602f08a7d938' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33d27415-7c83-47d2-8f5c-602f08a7d938' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b68b8f42-d89a-474e-94ab-dd06b33f8b5d' class='xr-var-data-in' type='checkbox'><label for='data-b68b8f42-d89a-474e-94ab-dd06b33f8b5d' title='Show/Hide data repr'><svg class='icon xr-icon-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>description :</span></dt><dd>Percent (100 = full scale)</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table>\n",
-       "                <thead>\n",
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-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 31.70 MiB </td>\n",
-       "                        <td> 15.85 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (277034, 30) </td>\n",
-       "                        <td> (138542, 30) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Count </th>\n",
-       "                        <td> 6 Tasks </td>\n",
-       "                        <td> 2 Chunks </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> float32 </td>\n",
-       "                    <td> numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
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-       "    <tr>\n",
-       "        <td>\n",
-       "            <table>\n",
-       "                <thead>\n",
-       "                    <tr>\n",
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-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 31.70 MiB </td>\n",
-       "                        <td> 15.85 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (277034, 30) </td>\n",
-       "                        <td> (138542, 30) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Count </th>\n",
-       "                        <td> 6 Tasks </td>\n",
-       "                        <td> 2 Chunks </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> float32 </td>\n",
-       "                    <td> numpy.ndarray </td>\n",
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-       "    <tr>\n",
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-       "                    <tr>\n",
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-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 31.70 MiB </td>\n",
-       "                        <td> 15.85 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (277034, 30) </td>\n",
-       "                        <td> (138542, 30) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Count </th>\n",
-       "                        <td> 6 Tasks </td>\n",
-       "                        <td> 2 Chunks </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> float32 </td>\n",
-       "                    <td> numpy.ndarray </td>\n",
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-       "        <td>\n",
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-       "    <tr>\n",
-       "        <td>\n",
-       "            <table>\n",
-       "                <thead>\n",
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-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 31.70 MiB </td>\n",
-       "                        <td> 15.85 MiB </td>\n",
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-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
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-       "                        <td> (138542, 30) </td>\n",
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-       "                    <tr>\n",
-       "                        <th> Count </th>\n",
-       "                        <td> 6 Tasks </td>\n",
-       "                        <td> 2 Chunks </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> float32 </td>\n",
-       "                    <td> numpy.ndarray </td>\n",
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-       "    <tr>\n",
-       "        <td>\n",
-       "            <table>\n",
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-       "                    <tr>\n",
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-       "                        <td> 15.85 MiB </td>\n",
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-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (277034, 30) </td>\n",
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-       "                        <th> Count </th>\n",
-       "                        <td> 6 Tasks </td>\n",
-       "                        <td> 2 Chunks </td>\n",
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-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> float32 </td>\n",
-       "                    <td> numpy.ndarray </td>\n",
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-       "    <tr>\n",
-       "        <td>\n",
-       "            <table>\n",
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-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
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-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 31.70 MiB </td>\n",
-       "                        <td> 15.85 MiB </td>\n",
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-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (277034, 30) </td>\n",
-       "                        <td> (138542, 30) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Count </th>\n",
-       "                        <td> 6 Tasks </td>\n",
-       "                        <td> 2 Chunks </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> float32 </td>\n",
-       "                    <td> numpy.ndarray </td>\n",
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-       "        <td>\n",
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-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 31.70 MiB </td>\n",
-       "                        <td> 15.85 MiB </td>\n",
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-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
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-       "                        <td> (138542, 30) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Count </th>\n",
-       "                        <td> 6 Tasks </td>\n",
-       "                        <td> 2 Chunks </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> float32 </td>\n",
-       "                    <td> numpy.ndarray </td>\n",
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-       "                    <tr>\n",
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-       "                        <th> Count </th>\n",
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-       "                    <tr>\n",
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-       "    <tr>\n",
-       "        <td>\n",
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-       "                        <th> Shape </th>\n",
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-       "                    <tr>\n",
-       "                        <th> Count </th>\n",
-       "                        <td> 6 Tasks </td>\n",
-       "                        <td> 2 Chunks </td>\n",
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-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> timedelta64[ns] </td>\n",
-       "                    <td> numpy.ndarray </td>\n",
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-       "        </td>\n",
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-       "                    <tr>\n",
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-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> float32 </td>\n",
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-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
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-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
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-       "                        <td> (138542,) </td>\n",
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-       "                    <tr>\n",
-       "                        <th> Count </th>\n",
-       "                        <td> 6 Tasks </td>\n",
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-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> float64 </td>\n",
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-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CellSize</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(138492,), meta=np.ndarray&gt;</div><input id='attrs-64837efd-c2ab-4b37-b3b1-60efcc79d32f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64837efd-c2ab-4b37-b3b1-60efcc79d32f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4054a157-31a8-422a-8d5e-18c73e66c631' class='xr-var-data-in' type='checkbox'><label for='data-4054a157-31a8-422a-8d5e-18c73e66c631' title='Show/Hide data repr'><svg class='icon xr-icon-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>description :</span></dt><dd>Cell Size</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table>\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 1.06 MiB </td>\n",
-       "                        <td> 541.18 kiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (277034,) </td>\n",
-       "                        <td> (138542,) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Count </th>\n",
-       "                        <td> 6 Tasks </td>\n",
-       "                        <td> 2 Chunks </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> float32 </td>\n",
-       "                    <td> numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
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-       "\n",
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-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NumberofCells</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(138492,), meta=np.ndarray&gt;</div><input id='attrs-2b21a45f-3cda-41e0-898d-0213d2a73c82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b21a45f-3cda-41e0-898d-0213d2a73c82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72d64fbe-8d01-4bac-a51c-fab844f1dbba' class='xr-var-data-in' type='checkbox'><label for='data-72d64fbe-8d01-4bac-a51c-fab844f1dbba' title='Show/Hide data repr'><svg class='icon xr-icon-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>description :</span></dt><dd>Number of cells</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table>\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 1.06 MiB </td>\n",
-       "                        <td> 541.18 kiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (277034,) </td>\n",
-       "                        <td> (138542,) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Count </th>\n",
-       "                        <td> 6 Tasks </td>\n",
-       "                        <td> 2 Chunks </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> float32 </td>\n",
-       "                    <td> numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
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-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Blanking</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(138492,), meta=np.ndarray&gt;</div><input id='attrs-274c8fb2-c3e6-4871-ba0a-b82afdf8716d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-274c8fb2-c3e6-4871-ba0a-b82afdf8716d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95055f0a-780c-47be-8953-7884d78bea9c' class='xr-var-data-in' type='checkbox'><label for='data-95055f0a-780c-47be-8953-7884d78bea9c' title='Show/Hide data repr'><svg class='icon xr-icon-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>description :</span></dt><dd>Blanking</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table>\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 2.11 MiB </td>\n",
-       "                        <td> 1.06 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (277034,) </td>\n",
-       "                        <td> (138542,) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Count </th>\n",
-       "                        <td> 6 Tasks </td>\n",
-       "                        <td> 2 Chunks </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> float64 </td>\n",
-       "                    <td> numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
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-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NominalCorrelation</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(138492,), meta=np.ndarray&gt;</div><input id='attrs-f9ca0ac4-c6e1-4588-ba42-4154bf724c36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9ca0ac4-c6e1-4588-ba42-4154bf724c36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c6b569c-86d4-4cd0-b1dd-5468c0075f17' class='xr-var-data-in' type='checkbox'><label for='data-3c6b569c-86d4-4cd0-b1dd-5468c0075f17' title='Show/Hide data repr'><svg class='icon xr-icon-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>description :</span></dt><dd>Nominal Correlation</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table>\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 1.06 MiB </td>\n",
-       "                        <td> 541.18 kiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (277034,) </td>\n",
-       "                        <td> (138542,) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Count </th>\n",
-       "                        <td> 6 Tasks </td>\n",
-       "                        <td> 2 Chunks </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> float32 </td>\n",
-       "                    <td> numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
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-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Battery</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(138492,), meta=np.ndarray&gt;</div><input id='attrs-8a9ecf05-bb39-441e-bb96-511b79130ec2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a9ecf05-bb39-441e-bb96-511b79130ec2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3121c619-69d0-4ad7-aba3-3a0b85364697' class='xr-var-data-in' type='checkbox'><label for='data-3121c619-69d0-4ad7-aba3-3a0b85364697' title='Show/Hide data repr'><svg class='icon xr-icon-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>description :</span></dt><dd>Battery status</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table>\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 1.06 MiB </td>\n",
-       "                        <td> 541.18 kiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (277034,) </td>\n",
-       "                        <td> (138542,) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Count </th>\n",
-       "                        <td> 6 Tasks </td>\n",
-       "                        <td> 2 Chunks </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> float32 </td>\n",
-       "                    <td> numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
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-       "\n",
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-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MagnetometerX</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(138492,), meta=np.ndarray&gt;</div><input id='attrs-571abcd3-db3c-4217-973f-4fe021007806' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-571abcd3-db3c-4217-973f-4fe021007806' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-327a0b19-a214-44ca-a2a1-ab6f1de1f780' class='xr-var-data-in' type='checkbox'><label for='data-327a0b19-a214-44ca-a2a1-ab6f1de1f780' title='Show/Hide data repr'><svg class='icon xr-icon-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>description :</span></dt><dd>Magnetometer reading in last measurement interval</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
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-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ambiguity</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(138492,), meta=np.ndarray&gt;</div><input id='attrs-7a736fcb-fbf0-446a-8935-7cf358452d14' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a736fcb-fbf0-446a-8935-7cf358452d14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-caeb40be-455e-447f-be09-1087707450d9' class='xr-var-data-in' type='checkbox'><label for='data-caeb40be-455e-447f-be09-1087707450d9' title='Show/Hide data repr'><svg class='icon xr-icon-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</dd><dt><span>description :</span></dt><dd>Ambiguity velocity corrected for sound velocity</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table>\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
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-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 1.06 MiB </td>\n",
-       "                        <td> 541.18 kiB </td>\n",
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-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (277034,) </td>\n",
-       "                        <td> (138542,) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Count </th>\n",
-       "                        <td> 6 Tasks </td>\n",
-       "                        <td> 2 Chunks </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> float32 </td>\n",
-       "                    <td> numpy.ndarray </td>\n",
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-       "        </td>\n",
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-       "    <tr>\n",
-       "        <td>\n",
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-       "                    <tr>\n",
-       "                        <th> Count </th>\n",
-       "                        <td> 6 Tasks </td>\n",
-       "                        <td> 2 Chunks </td>\n",
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-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> float32 </td>\n",
-       "                    <td> numpy.ndarray </td>\n",
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-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PowerLevel</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(138492,), meta=np.ndarray&gt;</div><input id='attrs-98b0cb0b-8bdf-4243-a3b6-c6c34b2e1c7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98b0cb0b-8bdf-4243-a3b6-c6c34b2e1c7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f9f6e59-2496-487f-b9b5-21a6df996097' class='xr-var-data-in' type='checkbox'><label for='data-7f9f6e59-2496-487f-b9b5-21a6df996097' title='Show/Hide data repr'><svg class='icon xr-icon-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>description :</span></dt><dd>Transmit Power Level</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
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-       "                        <th> Count </th>\n",
-       "                        <td> 6 Tasks </td>\n",
-       "                        <td> 2 Chunks </td>\n",
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-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> float32 </td>\n",
-       "                    <td> numpy.ndarray </td>\n",
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-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Physicalbeam</span></div><div class='xr-var-dims'>(time, Physicalbeam_dim)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(138492, 4), meta=np.ndarray&gt;</div><input id='attrs-54ec099b-0ac1-4be2-a075-e9a81c9631d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54ec099b-0ac1-4be2-a075-e9a81c9631d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba0b7c41-abd5-4f90-bdc9-a6e51ac13efe' class='xr-var-data-in' type='checkbox'><label for='data-ba0b7c41-abd5-4f90-bdc9-a6e51ac13efe' title='Show/Hide data repr'><svg class='icon xr-icon-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>description :</span></dt><dd>Physical beam corresponding to each data set</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
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-       "                        <th> Bytes </th>\n",
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-       "                        <th> Count </th>\n",
-       "                        <td> 6 Tasks </td>\n",
-       "                        <td> 2 Chunks </td>\n",
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-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> float32 </td>\n",
-       "                    <td> numpy.ndarray </td>\n",
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-       "    <tr>\n",
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-       "                        <td> 1.06 MiB </td>\n",
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-       "                        <th> Count </th>\n",
-       "                        <td> 6 Tasks </td>\n",
-       "                        <td> 2 Chunks </td>\n",
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-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> float32 </td>\n",
-       "                    <td> numpy.ndarray </td>\n",
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-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RTCTemperature</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(138492,), meta=np.ndarray&gt;</div><input id='attrs-cc345415-0332-48bc-9be4-87240fd55850' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc345415-0332-48bc-9be4-87240fd55850' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57f62185-3cb3-4566-aed3-3534d25919e3' class='xr-var-data-in' type='checkbox'><label for='data-57f62185-3cb3-4566-aed3-3534d25919e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>C</dd><dt><span>description :</span></dt><dd>Real time clock temperature</dd></dl></div><div class='xr-var-data'><table>\n",
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-       "                    </tr>\n",
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-       "                    <tr>\n",
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-       "    </tr>\n",
-       "</table></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'>dask.array&lt;chunksize=(138492,), meta=np.ndarray&gt;</div><input id='attrs-66208a1f-a2a8-4421-b1ff-bb2fdc60be68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66208a1f-a2a8-4421-b1ff-bb2fdc60be68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cb83be5-ae2c-4575-9627-7880809967c6' class='xr-var-data-in' type='checkbox'><label for='data-6cb83be5-ae2c-4575-9627-7880809967c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Degrees</dd><dt><span>description :</span></dt><dd></dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table>\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 1.06 MiB </td>\n",
-       "                        <td> 541.18 kiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (277034,) </td>\n",
-       "                        <td> (138542,) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Count </th>\n",
-       "                        <td> 6 Tasks </td>\n",
-       "                        <td> 2 Chunks </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> float32 </td>\n",
-       "                    <td> numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
-       "\n",
-       "  <!-- Horizontal lines -->\n",
-       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Vertical lines -->\n",
-       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"59\" y1=\"0\" x2=\"59\" y2=\"25\" />\n",
-       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Colored Rectangle -->\n",
-       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
-       "\n",
-       "  <!-- Text -->\n",
-       "  <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >277034</text>\n",
-       "  <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">1</text>\n",
-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></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'>dask.array&lt;chunksize=(138492,), meta=np.ndarray&gt;</div><input id='attrs-73b5dfcc-0ed1-441e-8a9d-596eae8ebdf0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73b5dfcc-0ed1-441e-8a9d-596eae8ebdf0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a1d5936-d3eb-41e9-a6c2-5c7521e68a25' class='xr-var-data-in' type='checkbox'><label for='data-7a1d5936-d3eb-41e9-a6c2-5c7521e68a25' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Degrees</dd><dt><span>description :</span></dt><dd></dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table>\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 1.06 MiB </td>\n",
-       "                        <td> 541.18 kiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (277034,) </td>\n",
-       "                        <td> (138542,) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Count </th>\n",
-       "                        <td> 6 Tasks </td>\n",
-       "                        <td> 2 Chunks </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                    <th> Type </th>\n",
-       "                    <td> float32 </td>\n",
-       "                    <td> numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
-       "\n",
-       "  <!-- Horizontal lines -->\n",
-       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Vertical lines -->\n",
-       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"59\" y1=\"0\" x2=\"59\" y2=\"25\" />\n",
-       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Colored Rectangle -->\n",
-       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
-       "\n",
-       "  <!-- Text -->\n",
-       "  <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >277034</text>\n",
-       "  <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">1</text>\n",
-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salinity</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... nan nan nan</div><input id='attrs-691bd6cd-693f-40e1-8dfc-96a5f731a785' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-691bd6cd-693f-40e1-8dfc-96a5f731a785' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4f3ee8c-5c41-4ea9-a3b4-af1b90eb064a' class='xr-var-data-in' type='checkbox'><label for='data-e4f3ee8c-5c41-4ea9-a3b4-af1b90eb064a' title='Show/Hide data 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., ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>declination</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.0 4.0 4.0 4.0 ... nan nan nan nan</div><input id='attrs-f8f5d721-bd67-446b-8d6b-08e4ea267c28' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f8f5d721-bd67-446b-8d6b-08e4ea267c28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e22a9da-022e-424e-8a70-e75ccb1ccaed' class='xr-var-data-in' type='checkbox'><label for='data-3e22a9da-022e-424e-8a70-e75ccb1ccaed' title='Show/Hide data 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([ 4.,  4.,  4., ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SpeedOfSound</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.484e+03 1.484e+03 ... nan nan</div><input id='attrs-530d6641-8d9e-4f42-97cc-43eca19ff5da' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-530d6641-8d9e-4f42-97cc-43eca19ff5da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-692b9545-960f-46bd-bdc3-9b09a1b2164e' class='xr-var-data-in' type='checkbox'><label for='data-692b9545-960f-46bd-bdc3-9b09a1b2164e' title='Show/Hide data 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([1483.96150773, 1483.69447708, 1483.42744911, ...,           nan,\n",
-       "                 nan,           nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>D1</span></div><div class='xr-var-dims'>(time, bin)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.149 -0.4971 -1.143 ... nan nan</div><input id='attrs-b87c69ce-a113-432d-b247-c0246f5280e0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b87c69ce-a113-432d-b247-c0246f5280e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6374d0d-3710-4f7f-bdd0-bc537a8bd082' class='xr-var-data-in' type='checkbox'><label for='data-f6374d0d-3710-4f7f-bdd0-bc537a8bd082' title='Show/Hide data 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([[  0.14901615,  -0.49708193,  -1.14318006, ..., -17.29563301,\n",
-       "        -17.94173019, -18.58782928],\n",
-       "       [  0.18946475,  -0.46420562,  -1.11787605, ..., -17.45963668,\n",
-       "        -18.11330795, -18.7669773 ],\n",
-       "       [  0.16311413,  -0.4811427 ,  -1.12539953, ..., -17.23182076,\n",
-       "        -17.87607735, -18.52033394],\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]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>D2</span></div><div class='xr-var-dims'>(time, bin)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.2191 -1.172 -2.125 ... nan nan</div><input id='attrs-3a72d4f7-e9be-41d4-9e86-04dbbf3ea2fe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3a72d4f7-e9be-41d4-9e86-04dbbf3ea2fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ed76fe5-1a21-4b97-b356-95a653d1c51f' class='xr-var-data-in' type='checkbox'><label for='data-5ed76fe5-1a21-4b97-b356-95a653d1c51f' title='Show/Hide data 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([[ -0.21909492,  -1.17195218,  -2.12480967, ..., -25.94624298,\n",
-       "        -26.89910095, -27.85195701],\n",
-       "       [ -0.13052379,  -1.05085134,  -1.971179  , ..., -24.97937011,\n",
-       "        -25.89969825, -26.82002448],\n",
-       "       [ -0.13537603,  -1.02837461,  -1.92137331, ..., -24.2463395 ,\n",
-       "        -25.13933915, -26.03233689],\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]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>D3</span></div><div class='xr-var-dims'>(time, bin)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.09268 -0.6004 -1.293 ... nan nan</div><input id='attrs-4f6cb5af-9124-49af-b313-a0425515daf7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4f6cb5af-9124-49af-b313-a0425515daf7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50e0d0c8-7b3f-4ae4-8d27-20bb58be8dd3' class='xr-var-data-in' type='checkbox'><label for='data-50e0d0c8-7b3f-4ae4-8d27-20bb58be8dd3' title='Show/Hide data 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([[  0.0926782 ,  -0.60036819,  -1.29341452, ..., -18.61957519,\n",
-       "        -19.31262176, -20.00566833],\n",
-       "       [  0.13854677,  -0.55755531,  -1.25365733, ..., -18.65620994,\n",
-       "        -19.35231208, -20.04841422],\n",
-       "       [  0.08997268,  -0.61523539,  -1.32044357, ..., -18.95064515,\n",
-       "        -19.65585297, -20.3610608 ],\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]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>D4</span></div><div class='xr-var-dims'>(time, bin)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.088 -0.9316 -1.775 ... nan nan</div><input id='attrs-03f5ae48-8294-4f04-9a2c-b4e0761de05c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-03f5ae48-8294-4f04-9a2c-b4e0761de05c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-884ab4fd-21c1-4811-bb27-a1cb5e285875' class='xr-var-data-in' type='checkbox'><label for='data-884ab4fd-21c1-4811-bb27-a1cb5e285875' title='Show/Hide data 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([[ -0.08800059,  -0.93161254,  -1.77522462, ..., -22.86552589,\n",
-       "        -23.70913666, -24.55274933],\n",
-       "       [ -0.09460997,  -0.98500943,  -1.87540888, ..., -24.13539504,\n",
-       "        -25.02579307, -25.916193  ],\n",
-       "       [ -0.1645562 ,  -1.08187169,  -1.99918717, ..., -24.9320752 ,\n",
-       "        -25.84938973, -26.76670617],\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]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Heading_old</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>169.4 193.7 226.1 ... 5.82 6.49</div><input id='attrs-ef7205d6-be0d-444d-ae30-2276e6d93948' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ef7205d6-be0d-444d-ae30-2276e6d93948' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1562641a-0135-4490-a909-893886bd7b7c' class='xr-var-data-in' type='checkbox'><label for='data-1562641a-0135-4490-a909-893886bd7b7c' title='Show/Hide data 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([169.43     , 193.69     , 226.12999  , ...,   7.72     ,\n",
-       "         5.8199997,   6.49     ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>X4</span></div><div class='xr-var-dims'>(time, bin)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-6a884fcf-ed9c-4573-88d5-1f1da311704a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6a884fcf-ed9c-4573-88d5-1f1da311704a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1afb37d6-08e2-40e0-93bf-09e4c4baecab' class='xr-var-data-in' type='checkbox'><label for='data-1afb37d6-08e2-40e0-93bf-09e4c4baecab' title='Show/Hide data 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([[nan, nan, nan, ..., nan, nan, nan],\n",
-       "       [nan, nan, nan, ..., nan, nan, nan],\n",
-       "       [nan, nan, nan, ..., nan, nan, nan],\n",
-       "       ...,\n",
-       "       [nan, nan, nan, ..., nan, nan, nan],\n",
-       "       [nan, nan, nan, ..., nan, nan, nan],\n",
-       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Y4</span></div><div class='xr-var-dims'>(time, bin)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-9868edb3-f7a3-490b-bf33-8a7cdef5d220' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9868edb3-f7a3-490b-bf33-8a7cdef5d220' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-284c8a19-5c08-44c3-b0c9-40310f97ce05' class='xr-var-data-in' type='checkbox'><label for='data-284c8a19-5c08-44c3-b0c9-40310f97ce05' title='Show/Hide data 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([[nan, nan, nan, ..., nan, nan, nan],\n",
-       "       [nan, nan, nan, ..., nan, nan, nan],\n",
-       "       [nan, nan, nan, ..., nan, nan, nan],\n",
-       "       ...,\n",
-       "       [nan, nan, nan, ..., nan, nan, nan],\n",
-       "       [nan, nan, nan, ..., nan, nan, nan],\n",
-       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Z4</span></div><div class='xr-var-dims'>(time, bin)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-52fef90e-cc69-4998-9ed8-9035248f4496' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-52fef90e-cc69-4998-9ed8-9035248f4496' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6a0019f-9ff4-4916-b10e-9e900b240c7d' class='xr-var-data-in' type='checkbox'><label for='data-b6a0019f-9ff4-4916-b10e-9e900b240c7d' title='Show/Hide data 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([[nan, nan, nan, ..., nan, nan, nan],\n",
-       "       [nan, nan, nan, ..., nan, nan, nan],\n",
-       "       [nan, nan, nan, ..., nan, nan, nan],\n",
-       "       ...,\n",
-       "       [nan, nan, nan, ..., nan, nan, nan],\n",
-       "       [nan, nan, nan, ..., nan, nan, nan],\n",
-       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ZZ4</span></div><div class='xr-var-dims'>(time, bin)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-81f8af4c-a8bf-43ad-a5c9-d3374e0e7e2c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-81f8af4c-a8bf-43ad-a5c9-d3374e0e7e2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c7c247f-967e-4f81-8b2c-83edb7e4af45' class='xr-var-data-in' type='checkbox'><label for='data-9c7c247f-967e-4f81-8b2c-83edb7e4af45' title='Show/Hide data 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([[nan, nan, nan, ..., nan, nan, nan],\n",
-       "       [nan, nan, nan, ..., nan, nan, nan],\n",
-       "       [nan, nan, nan, ..., nan, nan, nan],\n",
-       "       ...,\n",
-       "       [nan, nan, nan, ..., nan, nan, nan],\n",
-       "       [nan, nan, nan, ..., nan, nan, nan],\n",
-       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cfdc14aa-324e-4e9e-9968-a155e56a7c21' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cfdc14aa-324e-4e9e-9968-a155e56a7c21' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset>\n",
-       "Dimensions:                    (time: 277034, bin: 30, Physicalbeam_dim: 4)\n",
-       "Coordinates:\n",
-       "  * time                       (time) datetime64[ns] 2021-07-22T08:30:00.4382...\n",
-       "    Velocity Range             (bin) float32 1.2 2.2 3.2 4.2 ... 28.2 29.2 30.2\n",
-       "    Correlation Range          (bin) float32 1.2 2.2 3.2 4.2 ... 28.2 29.2 30.2\n",
-       "    Amplitude Range            (bin) float32 1.2 2.2 3.2 4.2 ... 28.2 29.2 30.2\n",
-       "    Latitude                   (time) float64 58.25 58.25 58.25 ... nan nan nan\n",
-       "    Longitude                  (time) float64 10.8 10.8 10.8 ... nan nan nan\n",
-       "    profileNum                 (time) float64 1.0 1.0 1.0 1.0 ... nan nan nan\n",
-       "    Depth                      (time) float64 0.9243 0.9739 0.9362 ... nan nan\n",
-       "  * bin                        (bin) int64 0 1 2 3 4 5 6 ... 24 25 26 27 28 29\n",
-       "Dimensions without coordinates: Physicalbeam_dim\n",
-       "Data variables: (12/55)\n",
-       "    VelocityBeam1              (time, bin) float64 dask.array<chunksize=(138492, 30), meta=np.ndarray>\n",
-       "    VelocityBeam2              (time, bin) float64 dask.array<chunksize=(138492, 30), meta=np.ndarray>\n",
-       "    VelocityBeam3              (time, bin) float64 dask.array<chunksize=(138492, 30), meta=np.ndarray>\n",
-       "    VelocityBeam4              (time, bin) float64 dask.array<chunksize=(138492, 30), meta=np.ndarray>\n",
-       "    CorrelationBeam1           (time, bin) float32 dask.array<chunksize=(138492, 30), meta=np.ndarray>\n",
-       "    CorrelationBeam2           (time, bin) float32 dask.array<chunksize=(138492, 30), meta=np.ndarray>\n",
-       "    ...                         ...\n",
-       "    D4                         (time, bin) float64 -0.088 -0.9316 ... nan nan\n",
-       "    Heading_old                (time) float32 169.4 193.7 226.1 ... 5.82 6.49\n",
-       "    X4                         (time, bin) float64 nan nan nan ... nan nan nan\n",
-       "    Y4                         (time, bin) float64 nan nan nan ... nan nan nan\n",
-       "    Z4                         (time, bin) float64 nan nan nan ... nan nan nan\n",
-       "    ZZ4                        (time, bin) float64 nan nan nan ... nan nan nan"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
     {
      "data": {
       "image/png": 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\n",
@@ -3367,7 +370,7 @@
     }
    ],
    "source": [
-    "process_adcp.correct_shear(ADCP, options)"
+    "ADCP = process_adcp.correct_shear(ADCP, options)"
    ]
   },
   {
@@ -3454,10 +457,10 @@
       " 21.  21.5 22.  22.5 23.  23.5 24.  24.5 25.  25.5 26.  26.5 27.  27.5]\n",
       " \n",
       "Running gridding on all 4 beams:\n",
-      "2023-03-28 12:05:14 : Calculating beam 1\n",
-      "2023-03-28 12:05:24 : Calculating beam 2\n",
-      "2023-03-28 12:05:34 : Calculating beam 3\n",
-      "2023-03-28 12:05:44 : Calculating beam 4\n"
+      "2023-03-28 16:29:11 : Calculating beam 1\n",
+      "2023-03-28 16:29:20 : Calculating beam 2\n",
+      "2023-03-28 16:29:29 : Calculating beam 3\n",
+      "2023-03-28 16:29:43 : Calculating beam 4\n"
      ]
     },
     {
@@ -3522,7 +525,7 @@
      "output_type": "stream",
      "text": [
       "Assuming ADCP is top mounted\n",
-      "2023-03-28 12:06:00 : Calculating X,Y,Z from isobaric 3-beam measurements.\n"
+      "2023-03-28 16:30:02 : Calculating X,Y,Z from isobaric 3-beam measurements.\n"
      ]
     },
     {
@@ -3590,7 +593,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "2023-03-28 12:06:03 : Converted from XYZ to ENU\n"
+      "2023-03-28 16:30:06 : Converted from XYZ to ENU\n"
      ]
     },
     {
@@ -3829,7 +832,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|██████████████████████████████████████| 1834/1834 [00:01<00:00, 936.59it/s]\n"
+      "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1834/1834 [00:00<00:00, 1957.62it/s]\n"
      ]
     },
     {
@@ -3844,8 +847,8 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|███████████████████████████████████████| 170/170 [00:00<00:00, 1084.41it/s]\n",
-      "100%|██████████████████████████████████████| 170/170 [00:00<00:00, 14625.39it/s]\n"
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 170/170 [00:00<00:00, 1907.84it/s]\n",
+      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 170/170 [00:00<00:00, 25191.02it/s]\n"
      ]
     }
    ],
@@ -3881,22 +884,14 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1609: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  # Baroclinic velocity, weighted by depth residence time, should be equal to DAC\n",
-      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1617: UserWarning: The input coordinates to pcolormesh are interpreted as cell centers, but are not monotonically increasing or decreasing. This may lead to incorrectly calculated cell edges, in which case, please supply explicit cell edges to pcolormesh.\n",
-      "  ## PLOT 1\n",
-      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1621: UserWarning: No contour levels were found within the data range.\n",
-      "  plt.colorbar()\n",
-      "/home/callum/anaconda3/envs/sci/lib/python3.10/site-packages/numpy/lib/nanfunctions.py:1670: RuntimeWarning: Degrees of freedom <= 0 for slice.\n",
-      "  var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof,\n",
-      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1609: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  # Baroclinic velocity, weighted by depth residence time, should be equal to DAC\n",
-      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1617: UserWarning: The input coordinates to pcolormesh are interpreted as cell centers, but are not monotonically increasing or decreasing. This may lead to incorrectly calculated cell edges, in which case, please supply explicit cell edges to pcolormesh.\n",
-      "  ## PLOT 1\n",
-      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1621: UserWarning: No contour levels were found within the data range.\n",
-      "  plt.colorbar()\n",
-      "/home/callum/anaconda3/envs/sci/lib/python3.10/site-packages/numpy/lib/nanfunctions.py:1670: RuntimeWarning: Degrees of freedom <= 0 for slice.\n",
-      "  var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof,\n"
+      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1527: UserWarning: The input coordinates to pcolormesh are interpreted as cell centers, but are not monotonically increasing or decreasing. This may lead to incorrectly calculated cell edges, in which case, please supply explicit cell edges to pcolormesh.\n",
+      "  plt.subplot(6, 1, pstep + 1)\n",
+      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1531: UserWarning: No contour levels were found within the data range.\n",
+      "  [plt.axvline(x, color='k', alpha=0.3) for x in days]\n",
+      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1527: UserWarning: The input coordinates to pcolormesh are interpreted as cell centers, but are not monotonically increasing or decreasing. This may lead to incorrectly calculated cell edges, in which case, please supply explicit cell edges to pcolormesh.\n",
+      "  plt.subplot(6, 1, pstep + 1)\n",
+      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1531: UserWarning: No contour levels were found within the data range.\n",
+      "  [plt.axvline(x, color='k', alpha=0.3) for x in days]\n"
      ]
     },
     {
@@ -3950,7 +945,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|███████████████████████████████████████████| 37/37 [00:08<00:00,  4.40it/s]\n"
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 37/37 [00:11<00:00,  3.35it/s]\n"
      ]
     }
    ],
@@ -3968,22 +963,10 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1745: RuntimeWarning: invalid value encountered in remainder\n",
-      "  south = np.gradient(out['latitude'], axis=1) < 0\n",
-      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1746: RuntimeWarning: invalid value encountered in remainder\n",
+      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1656: RuntimeWarning: invalid value encountered in remainder\n",
       "  \n",
-      "/home/callum/anaconda3/envs/sci/lib/python3.10/site-packages/numpy/lib/histograms.py:906: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  return n/db/n.sum(), bin_edges\n",
-      "/home/callum/anaconda3/envs/sci/lib/python3.10/site-packages/numpy/lib/nanfunctions.py:1670: RuntimeWarning: Degrees of freedom <= 0 for slice.\n",
-      "  var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof,\n",
-      "/home/callum/anaconda3/envs/sci/lib/python3.10/site-packages/numpy/lib/histograms.py:906: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  return n/db/n.sum(), bin_edges\n",
-      "/home/callum/anaconda3/envs/sci/lib/python3.10/site-packages/numpy/lib/nanfunctions.py:1670: RuntimeWarning: Degrees of freedom <= 0 for slice.\n",
-      "  var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof,\n",
-      "/home/callum/anaconda3/envs/sci/lib/python3.10/site-packages/numpy/lib/histograms.py:906: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  return n/db/n.sum(), bin_edges\n",
-      "/home/callum/anaconda3/envs/sci/lib/python3.10/site-packages/numpy/lib/nanfunctions.py:1670: RuntimeWarning: Degrees of freedom <= 0 for slice.\n",
-      "  var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof,\n"
+      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1657: RuntimeWarning: invalid value encountered in remainder\n",
+      "  up = np.remainder(out['profileNum'], 2) == 0\n"
      ]
     },
     {
@@ -4011,17 +994,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      " 27%|███████████▎                              | 27/100 [00:00<00:01, 37.08it/s]\n",
-      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1937: RuntimeWarning: Degrees of freedom <= 0 for slice.\n",
-      "  plt.figure(figsize=(15, 5))\n",
-      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1938: RuntimeWarning: Degrees of freedom <= 0 for slice.\n",
-      "  plt.subplot(131)\n",
-      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1940: RuntimeWarning: Degrees of freedom <= 0 for slice.\n",
-      "  plt.plot(np.nanvar(out['ADCP_E'], axis=1), yaxis, '-g')\n",
-      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1941: RuntimeWarning: Degrees of freedom <= 0 for slice.\n",
-      "  plt.subplot(132)\n",
-      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1943: RuntimeWarning: Degrees of freedom <= 0 for slice.\n",
-      "  plt.plot(np.nanvar(out['ADCP_N'], axis=1), yaxis, '-g')\n"
+      " 27%|███████████████████████████████████▉                                                                                                 | 27/100 [00:00<00:01, 39.85it/s]\n",
+      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1656: RuntimeWarning: invalid value encountered in remainder\n",
+      "  \n",
+      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1657: RuntimeWarning: invalid value encountered in remainder\n",
+      "  up = np.remainder(out['profileNum'], 2) == 0\n"
      ]
     },
     {
@@ -4039,32 +1016,14 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1944: RuntimeWarning: Degrees of freedom <= 0 for slice.\n",
-      "  plt.subplot(133)\n",
-      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1745: RuntimeWarning: invalid value encountered in remainder\n",
-      "  south = np.gradient(out['latitude'], axis=1) < 0\n",
-      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1746: RuntimeWarning: invalid value encountered in remainder\n",
-      "  \n",
-      "/home/callum/anaconda3/envs/sci/lib/python3.10/site-packages/numpy/lib/histograms.py:906: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  return n/db/n.sum(), bin_edges\n",
-      "/home/callum/anaconda3/envs/sci/lib/python3.10/site-packages/numpy/lib/nanfunctions.py:1670: RuntimeWarning: Degrees of freedom <= 0 for slice.\n",
-      "  var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof,\n",
-      "/home/callum/anaconda3/envs/sci/lib/python3.10/site-packages/numpy/lib/histograms.py:906: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  return n/db/n.sum(), bin_edges\n",
-      "/home/callum/anaconda3/envs/sci/lib/python3.10/site-packages/numpy/lib/nanfunctions.py:1670: RuntimeWarning: Degrees of freedom <= 0 for slice.\n",
-      "  var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof,\n",
-      "/home/callum/anaconda3/envs/sci/lib/python3.10/site-packages/numpy/lib/histograms.py:906: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  return n/db/n.sum(), bin_edges\n",
-      "/home/callum/anaconda3/envs/sci/lib/python3.10/site-packages/numpy/lib/nanfunctions.py:1670: RuntimeWarning: Degrees of freedom <= 0 for slice.\n",
-      "  var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof,\n",
-      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1951: UserWarning: The input coordinates to pcolormesh are interpreted as cell centers, but are not monotonically increasing or decreasing. This may lead to incorrectly calculated cell edges, in which case, please supply explicit cell edges to pcolormesh.\n",
-      "  ## PLOT 1\n",
-      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1955: UserWarning: No contour levels were found within the data range.\n",
-      "  plt.colorbar()\n",
-      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1962: UserWarning: The input coordinates to pcolormesh are interpreted as cell centers, but are not monotonically increasing or decreasing. This may lead to incorrectly calculated cell edges, in which case, please supply explicit cell edges to pcolormesh.\n",
-      "  \n",
-      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1966: UserWarning: No contour levels were found within the data range.\n",
-      "  plt.colorbar()\n"
+      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1792: UserWarning: The input coordinates to pcolormesh are interpreted as cell centers, but are not monotonically increasing or decreasing. This may lead to incorrectly calculated cell edges, in which case, please supply explicit cell edges to pcolormesh.\n",
+      "  plt.subplot(6, 1, 1)\n",
+      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1796: UserWarning: No contour levels were found within the data range.\n",
+      "  [plt.axvline(x, color='k', alpha=0.3) for x in days]\n",
+      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1803: UserWarning: The input coordinates to pcolormesh are interpreted as cell centers, but are not monotonically increasing or decreasing. This may lead to incorrectly calculated cell edges, in which case, please supply explicit cell edges to pcolormesh.\n",
+      "  plt.subplot(6, 1, 2)\n",
+      "/home/callum/Documents/coding/SeaExplorerTools/process_adcp.py:1807: UserWarning: No contour levels were found within the data range.\n",
+      "  [plt.axvline(x, color='k', alpha=0.3) for x in days]\n"
      ]
     },
     {
@@ -4112,7 +1071,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 24,
    "id": "cef343a2-db9d-4c62-952e-9e0abe9ee0d1",
    "metadata": {},
    "outputs": [],
@@ -4128,22 +1087,23 @@
     "coords_dict = {\"profile_num\": ((\"profile_num\"), profiles),\n",
     "               \"depth_bin\": ((\"depth_bin\"), depth_bins)\n",
     "}\n",
-    "ds = xr.Dataset(data_vars=ds_dict, coords=coords_dict)"
+    "ds = xr.Dataset(data_vars=ds_dict, coords=coords_dict)\n",
+    "ds_min = ds[['Sh_E', 'Sh_N','Sh_U', 'ADCP_E', 'ADCP_N']]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
-   "id": "f0d15990-2ee5-4ad1-91f0-c0130bd078ac",
+   "execution_count": 25,
+   "id": "380929e5-6452-4471-ab87-93e016bb9d53",
    "metadata": {},
    "outputs": [],
    "source": [
-    "ds_og = xr.open_dataset(\"ADCP_refactoring_test_files/out_original.nc\")"
+    "ds_min_test = xr.open_dataset(\"tests/test_files/ds_out_min.nc\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 26,
    "id": "d4651d82-ddbf-4daa-9a7a-9160391943f2",
    "metadata": {},
    "outputs": [
@@ -4153,13 +1113,13 @@
        "True"
       ]
      },
-     "execution_count": 59,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "ds_og.equals(ds)"
+    "ds_min.equals(ds_min_test)"
    ]
   },
   {
diff --git a/process_adcp.py b/process_adcp.py
index aeb84b5..8885733 100644
--- a/process_adcp.py
+++ b/process_adcp.py
@@ -18,6 +18,8 @@
 
 warnings.filterwarnings(action='ignore', message='Mean of empty slice')
 warnings.filterwarnings(action='ignore', message='invalid value encountered in divide')
+warnings.filterwarnings(action='ignore', message='invalid value encountered in true_divide')
+warnings.filterwarnings(action='ignore', message='Degrees of freedom <= 0 for slice.')
 
 sns.set(font='Franklin Gothic Book',
         rc={
@@ -247,7 +249,7 @@ def getGeoMagStrength():
     rmsd = lambda x, y, z: np.sqrt(np.mean((norm(x, y, z) - target) ** 2))
 
     def circ(x):
-        idx = np.abs(x) > 180
+        idx = (np.abs(x) > 180).values
         x[idx] = x[idx] + (360 * -np.sign(x[idx]))
         return x
 
@@ -542,7 +544,7 @@ def plotit(ADCP):
     plt.ylim(np.array([-1, 1]) * 1.5e-3)
 
 
-def shear_correction(ADCP, var, correct=True):
+def _shear_correction(ADCP, var, correct=True):
     def get_correction_array(row):
         ### SEPARATION CRITERIA
         spd_thr_water = np.sqrt(ADCP['X4'] ** 2 + ADCP['Y4'] ** 2 + ((ADCP['Z4'] + ADCP['ZZ4']) / 2) ** 2)
@@ -635,10 +637,10 @@ def correct_shear(ADCP, options):
     ADCP = do_beam2xyzz(ADCP)
     plotit(ADCP)
 
-    if options['correctZZshear']: ADCP = do_beam2xyzz(ADCP); shear_correction(ADCP, 'ZZ4'); ADCP = do_xyzz2beam(ADCP);
-    if options['correctZshear']: ADCP = do_beam2xyzz(ADCP); shear_correction(ADCP, 'Z4'); ADCP = do_xyzz2beam(ADCP);
-    if options['correctYshear']: ADCP = do_beam2xyzz(ADCP); shear_correction(ADCP, 'Y4'); ADCP = do_xyzz2beam(ADCP);
-    if options['correctXshear']: ADCP = do_beam2xyzz(ADCP); shear_correction(ADCP, 'X4'); ADCP = do_xyzz2beam(ADCP);
+    if options['correctZZshear']: ADCP = do_beam2xyzz(ADCP); _shear_correction(ADCP, 'ZZ4'); ADCP = do_xyzz2beam(ADCP);
+    if options['correctZshear']: ADCP = do_beam2xyzz(ADCP); _shear_correction(ADCP, 'Z4'); ADCP = do_xyzz2beam(ADCP);
+    if options['correctYshear']: ADCP = do_beam2xyzz(ADCP); _shear_correction(ADCP, 'Y4'); ADCP = do_xyzz2beam(ADCP);
+    if options['correctXshear']: ADCP = do_beam2xyzz(ADCP); _shear_correction(ADCP, 'X4'); ADCP = do_xyzz2beam(ADCP);
 
     if options['correctZZshear'] or options['correctZshear'] or options['correctYshear'] or options[
         'correctXshear']: plotit(ADCP);