diff --git a/notebooks/cloudonly-FigS2-Chl_Copepod_compare_x1.ipynb b/notebooks/cloudonly-FigS2-Chl_Copepod_compare_x1.ipynb
index d9b7c36..53f1176 100644
--- a/notebooks/cloudonly-FigS2-Chl_Copepod_compare_x1.ipynb
+++ b/notebooks/cloudonly-FigS2-Chl_Copepod_compare_x1.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 1,
    "metadata": {
     "tags": []
    },
@@ -64,9 +64,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "INFO - 2024-01-06T00:54:48Z - Selected dataset version is \"202303\"\n",
-      "INFO - 2024-01-06T00:54:48Z - Selected dataset part is \"default\"\n",
-      "INFO - 2024-01-06T00:54:50Z - Selected service is \"CopernicusMarineDatasetServiceType.GEOSERIES\"\n",
+      "INFO - 2024-01-08T22:56:39Z - Selected dataset version is \"202303\"\n",
+      "INFO - 2024-01-08T22:56:39Z - Selected dataset part is \"default\"\n",
+      "INFO - 2024-01-08T22:56:44Z - Selected service is \"CopernicusMarineDatasetServiceType.GEOSERIES\"\n",
       "username:"
      ]
     },
@@ -478,12 +478,12 @@
        "    stop_time:               23:59:00 UTC\n",
        "    summary:                 Data products generated by the Ocean Colour comp...\n",
        "    title:                   c3s_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1M\n",
-       "    westernmost_longitude:   -180</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-5015ae43-291f-4d94-8920-ebff4fc567d7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5015ae43-291f-4d94-8920-ebff4fc567d7' 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>: 366</li><li><span class='xr-has-index'>latitude</span>: 4320</li><li><span class='xr-has-index'>longitude</span>: 8640</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e42d8e9a-db6e-46f3-87b1-e29242cda1b6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e42d8e9a-db6e-46f3-87b1-e29242cda1b6' class='xr-section-summary' >Coordinates: <span>(3)</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'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.98 -89.94 -89.9 ... 89.94 89.98</div><input id='attrs-4897a3df-8a49-4639-b39c-f1bfe6a29a57' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4897a3df-8a49-4639-b39c-f1bfe6a29a57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-459c121e-6f40-43df-ae24-65792b491d0b' class='xr-var-data-in' type='checkbox'><label for='data-459c121e-6f40-43df-ae24-65792b491d0b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_max :</span></dt><dd>90</dd><dt><span>valid_min :</span></dt><dd>-90</dd></dl></div><div class='xr-var-data'><pre>array([-89.979167, -89.9375  , -89.895833, ...,  89.895833,  89.9375  ,\n",
-       "        89.979167])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.9 ... 179.9 180.0</div><input id='attrs-bafbc292-bcb2-43c0-a8b8-251d89410d32' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bafbc292-bcb2-43c0-a8b8-251d89410d32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27d16d14-c833-44fe-af9b-d85d886f6182' class='xr-var-data-in' type='checkbox'><label for='data-27d16d14-c833-44fe-af9b-d85d886f6182' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_max :</span></dt><dd>180</dd><dt><span>valid_min :</span></dt><dd>-180</dd></dl></div><div class='xr-var-data'><pre>array([-179.979167, -179.9375  , -179.895833, ...,  179.895833,  179.9375  ,\n",
-       "        179.979167])</pre></div></li><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'>2012-01-01 ... 2012-12-31</div><input id='attrs-c744f346-825f-44d5-8882-c5620a6d2e18' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c744f346-825f-44d5-8882-c5620a6d2e18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7119fad-ff84-4564-94b9-f1f01d2f58da' class='xr-var-data-in' type='checkbox'><label for='data-b7119fad-ff84-4564-94b9-f1f01d2f58da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2012-01-01T00:00:00.000000000&#x27;, &#x27;2012-01-02T00:00:00.000000000&#x27;,\n",
+       "    westernmost_longitude:   -180</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-d8e23868-7600-4237-8577-916c0372cdbc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d8e23868-7600-4237-8577-916c0372cdbc' 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>: 366</li><li><span class='xr-has-index'>latitude</span>: 4320</li><li><span class='xr-has-index'>longitude</span>: 8640</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d2f8c0a2-4e19-4269-824d-a930853ec152' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d2f8c0a2-4e19-4269-824d-a930853ec152' class='xr-section-summary' >Coordinates: <span>(3)</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'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.98 -89.94 -89.9 ... 89.94 89.98</div><input id='attrs-9ac9b050-9b47-430f-91bf-831f94f3c273' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ac9b050-9b47-430f-91bf-831f94f3c273' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-814662d3-e987-48a0-92f8-6b52dfb42326' class='xr-var-data-in' type='checkbox'><label for='data-814662d3-e987-48a0-92f8-6b52dfb42326' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_max :</span></dt><dd>90</dd><dt><span>valid_min :</span></dt><dd>-90</dd></dl></div><div class='xr-var-data'><pre>array([-89.979167, -89.9375  , -89.895833, ...,  89.895833,  89.9375  ,\n",
+       "        89.979167])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.9 ... 179.9 180.0</div><input id='attrs-3209f2e0-0c96-4234-a701-966b664e1916' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3209f2e0-0c96-4234-a701-966b664e1916' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5f0ef9b-3def-435d-9d5e-bd5cee45c550' class='xr-var-data-in' type='checkbox'><label for='data-f5f0ef9b-3def-435d-9d5e-bd5cee45c550' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_max :</span></dt><dd>180</dd><dt><span>valid_min :</span></dt><dd>-180</dd></dl></div><div class='xr-var-data'><pre>array([-179.979167, -179.9375  , -179.895833, ...,  179.895833,  179.9375  ,\n",
+       "        179.979167])</pre></div></li><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'>2012-01-01 ... 2012-12-31</div><input id='attrs-1d790a42-94b4-4888-a22f-c7117a570d79' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1d790a42-94b4-4888-a22f-c7117a570d79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7628768-6f6d-41c1-b23f-f9118caab2b3' class='xr-var-data-in' type='checkbox'><label for='data-d7628768-6f6d-41c1-b23f-f9118caab2b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2012-01-01T00:00:00.000000000&#x27;, &#x27;2012-01-02T00:00:00.000000000&#x27;,\n",
        "       &#x27;2012-01-03T00:00:00.000000000&#x27;, ..., &#x27;2012-12-29T00:00:00.000000000&#x27;,\n",
        "       &#x27;2012-12-30T00:00:00.000000000&#x27;, &#x27;2012-12-31T00:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-37e16d5f-5a6e-4280-8f42-fcfaa3be32d2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-37e16d5f-5a6e-4280-8f42-fcfaa3be32d2' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>CHL</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-31212067-ff4a-4c93-a52d-080982c20646' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31212067-ff4a-4c93-a52d-080982c20646' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b610afd8-ab6b-431a-b652-63d936c06da7' class='xr-var-data-in' type='checkbox'><label for='data-b610afd8-ab6b-431a-b652-63d936c06da7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Chlorophyll-a concentration in seawater (not log-transformed), generated by as a blended combination of OCI, OCI2, OC2 and OCx algorithms, depending on water class memberships</dd><dt><span>source :</span></dt><dd>Orbview-2/SeaStar-SeaWiFS-L3</dd><dt><span>standard_name :</span></dt><dd>mass_concentration_of_chlorophyll_a_in_sea_water</dd><dt><span>type :</span></dt><dd>surface</dd><dt><span>units :</span></dt><dd>milligram m-3</dd><dt><span>units_nonstandard :</span></dt><dd>mg m^-3</dd><dt><span>valid_max :</span></dt><dd>66.83438873291016</dd><dt><span>valid_min :</span></dt><dd>0.009999999776482582</dd></dl></div><div class='xr-var-data'><pre>[13660876800 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a8c6f59e-020e-4205-8650-ef685805f16a' class='xr-section-summary-in' type='checkbox'  ><label for='section-a8c6f59e-020e-4205-8650-ef685805f16a' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fb55bfbc-83f6-4ac2-8509-2a97c5073f00' class='xr-index-data-in' type='checkbox'/><label for='index-fb55bfbc-83f6-4ac2-8509-2a97c5073f00' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-89.97916666666666,           -89.9375, -89.89583333333331,\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fa635cc8-8b15-4668-b6e1-e656c325740c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fa635cc8-8b15-4668-b6e1-e656c325740c' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>CHL</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1ff159f3-08d0-4fed-b474-0869aa564042' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ff159f3-08d0-4fed-b474-0869aa564042' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97f4fd66-1889-4d05-bd48-b82c756ff20a' class='xr-var-data-in' type='checkbox'><label for='data-97f4fd66-1889-4d05-bd48-b82c756ff20a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Chlorophyll-a concentration in seawater (not log-transformed), generated by as a blended combination of OCI, OCI2, OC2 and OCx algorithms, depending on water class memberships</dd><dt><span>source :</span></dt><dd>Orbview-2/SeaStar-SeaWiFS-L3</dd><dt><span>standard_name :</span></dt><dd>mass_concentration_of_chlorophyll_a_in_sea_water</dd><dt><span>type :</span></dt><dd>surface</dd><dt><span>units :</span></dt><dd>milligram m-3</dd><dt><span>units_nonstandard :</span></dt><dd>mg m^-3</dd><dt><span>valid_max :</span></dt><dd>66.83438873291016</dd><dt><span>valid_min :</span></dt><dd>0.009999999776482582</dd></dl></div><div class='xr-var-data'><pre>[13660876800 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7947f957-a1a3-42a2-8734-ef83be35ff78' class='xr-section-summary-in' type='checkbox'  ><label for='section-7947f957-a1a3-42a2-8734-ef83be35ff78' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8169d14a-db85-463d-9a5a-1e35e6166146' class='xr-index-data-in' type='checkbox'/><label for='index-8169d14a-db85-463d-9a5a-1e35e6166146' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-89.97916666666666,           -89.9375, -89.89583333333331,\n",
        "       -89.85416666666666,           -89.8125, -89.77083333333331,\n",
        "       -89.72916666666666,           -89.6875, -89.64583333333331,\n",
        "       -89.60416666666666,\n",
@@ -492,7 +492,7 @@
        "        89.72916666666667,  89.77083333333333,            89.8125,\n",
        "        89.85416666666667,  89.89583333333333,            89.9375,\n",
        "        89.97916666666667],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;, length=4320))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5f455fe3-2cd4-4daa-b1ca-6d1ce4c8cd94' class='xr-index-data-in' type='checkbox'/><label for='index-5f455fe3-2cd4-4daa-b1ca-6d1ce4c8cd94' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-179.97916666666666,           -179.9375, -179.89583333333334,\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;, length=4320))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d159f767-698c-49f2-acb1-fe2d59a70098' class='xr-index-data-in' type='checkbox'/><label for='index-d159f767-698c-49f2-acb1-fe2d59a70098' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-179.97916666666666,           -179.9375, -179.89583333333334,\n",
        "       -179.85416666666666,           -179.8125, -179.77083333333334,\n",
        "       -179.72916666666666,           -179.6875, -179.64583333333334,\n",
        "       -179.60416666666666,\n",
@@ -501,14 +501,14 @@
        "        179.72916666666663,  179.77083333333331,            179.8125,\n",
        "        179.85416666666663,  179.89583333333331,            179.9375,\n",
        "        179.97916666666663],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;, length=8640))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-51fdd488-7524-47ab-b5f7-bdbb5fbce403' class='xr-index-data-in' type='checkbox'/><label for='index-51fdd488-7524-47ab-b5f7-bdbb5fbce403' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2012-01-01&#x27;, &#x27;2012-01-02&#x27;, &#x27;2012-01-03&#x27;, &#x27;2012-01-04&#x27;,\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;, length=8640))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-69b8e08f-3d13-4f2e-a197-ec1efb862a97' class='xr-index-data-in' type='checkbox'/><label for='index-69b8e08f-3d13-4f2e-a197-ec1efb862a97' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2012-01-01&#x27;, &#x27;2012-01-02&#x27;, &#x27;2012-01-03&#x27;, &#x27;2012-01-04&#x27;,\n",
        "               &#x27;2012-01-05&#x27;, &#x27;2012-01-06&#x27;, &#x27;2012-01-07&#x27;, &#x27;2012-01-08&#x27;,\n",
        "               &#x27;2012-01-09&#x27;, &#x27;2012-01-10&#x27;,\n",
        "               ...\n",
        "               &#x27;2012-12-22&#x27;, &#x27;2012-12-23&#x27;, &#x27;2012-12-24&#x27;, &#x27;2012-12-25&#x27;,\n",
        "               &#x27;2012-12-26&#x27;, &#x27;2012-12-27&#x27;, &#x27;2012-12-28&#x27;, &#x27;2012-12-29&#x27;,\n",
        "               &#x27;2012-12-30&#x27;, &#x27;2012-12-31&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=366, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bbe39da6-33bd-4ba1-aca6-707502744b9c' class='xr-section-summary-in' type='checkbox'  ><label for='section-bbe39da6-33bd-4ba1-aca6-707502744b9c' class='xr-section-summary' >Attributes: <span>(38)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>Creation_time :</span></dt><dd>08:52:33 UTC</dd><dt><span>Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</dd><dt><span>Naming_authority :</span></dt><dd>CMEMS</dd><dt><span>Netcdf_version_id :</span></dt><dd>V4</dd><dt><span>citation :</span></dt><dd>The licensees should respect the Copernicus Marine usage agreement (http://marine.copernicus.eu/services-portfolio/service-commitments-and-licence/) by crediting Copernicus in a manner similar to:  &lt;Generated using E.U. Copernicus Marine Service Information, provided by OCTAC/PML production centre&gt;</dd><dt><span>cmems_product_id :</span></dt><dd>OCEANCOLOUR_GLO_BGC_L3_MY_009_107</dd><dt><span>cmems_production_unit :</span></dt><dd>OC-PML-PLYMOUTH-UK</dd><dt><span>contact :</span></dt><dd>email: cmems@pml.ac.uk</dd><dt><span>creation_date :</span></dt><dd>2022-12-05</dd><dt><span>distribution_statement :</span></dt><dd>Copernicus Marine data license (see website)</dd><dt><span>easternmost_longitude :</span></dt><dd>180</dd><dt><span>file_quality_index :</span></dt><dd>0s</dd><dt><span>grid_mapping :</span></dt><dd>Equirectangular</dd><dt><span>grid_resolution :</span></dt><dd>4KM       </dd><dt><span>institution :</span></dt><dd>Plymouth Marine Laboratory, operating as a production unit within the CMEMS OCTAC</dd><dt><span>keywords :</span></dt><dd>satellite,observation,ocean,ocean colour</dd><dt><span>netcdf_file_type :</span></dt><dd>NETCDF4_CLASSIC</dd><dt><span>northernmost_latitude :</span></dt><dd>90</dd><dt><span>parameter :</span></dt><dd>Chlorophyll-a concentration in seawater (not log-transformed), generated by as a blended combination of OCI, OCI2, OC2 and OCx algorithms, depending on water class memberships and Phytoplankton Functional Types</dd><dt><span>parameter_code :</span></dt><dd>CHL MICRO MICRO_BIAS MICRO_RMSE NANO NANO_BIAS NANO_RMSE PICO PICO_BIAS PICO_RMSE</dd><dt><span>platform :</span></dt><dd>Orbview-2/SeaStar</dd><dt><span>product_level :</span></dt><dd>l3</dd><dt><span>product_version :</span></dt><dd>v5</dd><dt><span>project :</span></dt><dd>Copernicus Marine (CMEMS)</dd><dt><span>references :</span></dt><dd>http://marine.copernicus.eu</dd><dt><span>sensor :</span></dt><dd>ESA Ocean Colour Climate Initiative v6</dd><dt><span>site_name :</span></dt><dd>GLO</dd><dt><span>software_name :</span></dt><dd>MERIS SeaDAS processor</dd><dt><span>software_version :</span></dt><dd>7.5</dd><dt><span>southernmost_latitude :</span></dt><dd>-90</dd><dt><span>start_date :</span></dt><dd>1997-09-04</dd><dt><span>start_time :</span></dt><dd>00:00:00 UTC</dd><dt><span>stop_date :</span></dt><dd>1997-09-04</dd><dt><span>stop_time :</span></dt><dd>23:59:00 UTC</dd><dt><span>summary :</span></dt><dd>Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are daily composites of merged sensor (MERIS, MODIS Aqua, SeaWiFS LAC &amp; GAC, VIIRS, OLCI) products.  MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007.  VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2014; at the third stage Sentinel-3A OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30;  at the fourth stage Sentinel-3B OLCI was bias corrected against already corrected Sentinel-3A OLCI, for overlap period 2018-07-01 to 2021-06-30.  VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA&#x27;s l2gen (for basic sensor geometry corrections, etc) and HYGEOS POLYMER (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with POLYMER.  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult&#x27;s SNAP.  Derived products were generally computed with the standard algorithms through SeaDAS.  QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting.  The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships.  Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated according to Jackson et al. (in prep).</dd><dt><span>title :</span></dt><dd>c3s_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1M</dd><dt><span>westernmost_longitude :</span></dt><dd>-180</dd></dl></div></li></ul></div></div>"
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=366, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-66c7db4d-bdc3-4da3-8de3-4c537de42c2c' class='xr-section-summary-in' type='checkbox'  ><label for='section-66c7db4d-bdc3-4da3-8de3-4c537de42c2c' class='xr-section-summary' >Attributes: <span>(38)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>Creation_time :</span></dt><dd>08:52:33 UTC</dd><dt><span>Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</dd><dt><span>Naming_authority :</span></dt><dd>CMEMS</dd><dt><span>Netcdf_version_id :</span></dt><dd>V4</dd><dt><span>citation :</span></dt><dd>The licensees should respect the Copernicus Marine usage agreement (http://marine.copernicus.eu/services-portfolio/service-commitments-and-licence/) by crediting Copernicus in a manner similar to:  &lt;Generated using E.U. Copernicus Marine Service Information, provided by OCTAC/PML production centre&gt;</dd><dt><span>cmems_product_id :</span></dt><dd>OCEANCOLOUR_GLO_BGC_L3_MY_009_107</dd><dt><span>cmems_production_unit :</span></dt><dd>OC-PML-PLYMOUTH-UK</dd><dt><span>contact :</span></dt><dd>email: cmems@pml.ac.uk</dd><dt><span>creation_date :</span></dt><dd>2022-12-05</dd><dt><span>distribution_statement :</span></dt><dd>Copernicus Marine data license (see website)</dd><dt><span>easternmost_longitude :</span></dt><dd>180</dd><dt><span>file_quality_index :</span></dt><dd>0s</dd><dt><span>grid_mapping :</span></dt><dd>Equirectangular</dd><dt><span>grid_resolution :</span></dt><dd>4KM       </dd><dt><span>institution :</span></dt><dd>Plymouth Marine Laboratory, operating as a production unit within the CMEMS OCTAC</dd><dt><span>keywords :</span></dt><dd>satellite,observation,ocean,ocean colour</dd><dt><span>netcdf_file_type :</span></dt><dd>NETCDF4_CLASSIC</dd><dt><span>northernmost_latitude :</span></dt><dd>90</dd><dt><span>parameter :</span></dt><dd>Chlorophyll-a concentration in seawater (not log-transformed), generated by as a blended combination of OCI, OCI2, OC2 and OCx algorithms, depending on water class memberships and Phytoplankton Functional Types</dd><dt><span>parameter_code :</span></dt><dd>CHL MICRO MICRO_BIAS MICRO_RMSE NANO NANO_BIAS NANO_RMSE PICO PICO_BIAS PICO_RMSE</dd><dt><span>platform :</span></dt><dd>Orbview-2/SeaStar</dd><dt><span>product_level :</span></dt><dd>l3</dd><dt><span>product_version :</span></dt><dd>v5</dd><dt><span>project :</span></dt><dd>Copernicus Marine (CMEMS)</dd><dt><span>references :</span></dt><dd>http://marine.copernicus.eu</dd><dt><span>sensor :</span></dt><dd>ESA Ocean Colour Climate Initiative v6</dd><dt><span>site_name :</span></dt><dd>GLO</dd><dt><span>software_name :</span></dt><dd>MERIS SeaDAS processor</dd><dt><span>software_version :</span></dt><dd>7.5</dd><dt><span>southernmost_latitude :</span></dt><dd>-90</dd><dt><span>start_date :</span></dt><dd>1997-09-04</dd><dt><span>start_time :</span></dt><dd>00:00:00 UTC</dd><dt><span>stop_date :</span></dt><dd>1997-09-04</dd><dt><span>stop_time :</span></dt><dd>23:59:00 UTC</dd><dt><span>summary :</span></dt><dd>Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are daily composites of merged sensor (MERIS, MODIS Aqua, SeaWiFS LAC &amp; GAC, VIIRS, OLCI) products.  MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007.  VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2014; at the third stage Sentinel-3A OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30;  at the fourth stage Sentinel-3B OLCI was bias corrected against already corrected Sentinel-3A OLCI, for overlap period 2018-07-01 to 2021-06-30.  VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA&#x27;s l2gen (for basic sensor geometry corrections, etc) and HYGEOS POLYMER (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with POLYMER.  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult&#x27;s SNAP.  Derived products were generally computed with the standard algorithms through SeaDAS.  QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting.  The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships.  Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated according to Jackson et al. (in prep).</dd><dt><span>title :</span></dt><dd>c3s_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1M</dd><dt><span>westernmost_longitude :</span></dt><dd>-180</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -570,196 +570,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Archive:  data/orig/copepod-2012__biomass-fields.zip\n",
-      "   creating: data/orig/copepod-2012__biomass-fields/\n",
-      "   creating: data/orig/copepod-2012__biomass-fields/data/\n",
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-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "url = 'https://www.st.nmfs.noaa.gov/copepod/biomass/copepod-2012__biomass-fields.zip'\n",
     "\n",
@@ -772,7 +585,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -823,7 +636,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
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   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -1215,23 +1028,23 @@
        "    copepod_C  (lat, lon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
        "    n_obs      (lat, lon) float64 ...\n",
        "Attributes:\n",
-       "    file_in:  data/orig/copepod-2012__biomass-fields/data/copepod-2012__cmass...</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-c6ae179e-566f-433d-ae88-54045442aaa1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c6ae179e-566f-433d-ae88-54045442aaa1' 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'>lat</span>: 720</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5b84dd8c-7313-4231-9dce-e60be243849b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5b84dd8c-7313-4231-9dce-e60be243849b' class='xr-section-summary' >Coordinates: <span>(2)</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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-9d079c88-5b77-410e-b945-8f5f2d6dde5f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9d079c88-5b77-410e-b945-8f5f2d6dde5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba0619dd-364d-4f10-a18a-92410d871944' class='xr-var-data-in' type='checkbox'><label for='data-ba0619dd-364d-4f10-a18a-92410d871944' title='Show/Hide data 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([-89.875, -89.625, -89.375, ...,  89.375,  89.625,  89.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-6c362764-8eb1-4dda-8e7c-9d31314c82ba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6c362764-8eb1-4dda-8e7c-9d31314c82ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ccf641c5-4538-4733-8205-501558fe0106' class='xr-var-data-in' type='checkbox'><label for='data-ccf641c5-4538-4733-8205-501558fe0106' title='Show/Hide data 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([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e19523f8-a2fa-423f-94d7-604b326aedf1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e19523f8-a2fa-423f-94d7-604b326aedf1' class='xr-section-summary' >Data variables: <span>(2)</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>copepod_C</span></div><div class='xr-var-dims'>(lat, lon)</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-c6d49e8c-ab15-489a-8e9f-df8cfa31892e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c6d49e8c-ab15-489a-8e9f-df8cfa31892e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6589220d-b37e-4adf-9440-ec90d10de6be' class='xr-var-data-in' type='checkbox'><label for='data-6589220d-b37e-4adf-9440-ec90d10de6be' title='Show/Hide data 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",
+       "    file_in:  data/orig/copepod-2012__biomass-fields/data/copepod-2012__cmass...</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-f3cd70e2-dc0e-41fe-80ce-208b66c866b8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f3cd70e2-dc0e-41fe-80ce-208b66c866b8' 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'>lat</span>: 720</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-12ebec19-f59f-4552-b516-972894b82ca1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-12ebec19-f59f-4552-b516-972894b82ca1' class='xr-section-summary' >Coordinates: <span>(2)</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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-8fdb74ad-2679-4d70-a7e4-58fa9c8b160e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8fdb74ad-2679-4d70-a7e4-58fa9c8b160e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-101f5853-8528-40e8-b8c8-9306e6225eb4' class='xr-var-data-in' type='checkbox'><label for='data-101f5853-8528-40e8-b8c8-9306e6225eb4' title='Show/Hide data 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([-89.875, -89.625, -89.375, ...,  89.375,  89.625,  89.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-39446023-eb1d-408e-8758-a5a3fe480a8f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-39446023-eb1d-408e-8758-a5a3fe480a8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-148c2012-a3cb-4ea0-a2ba-d7e8d92bfaa4' class='xr-var-data-in' type='checkbox'><label for='data-148c2012-a3cb-4ea0-a2ba-d7e8d92bfaa4' title='Show/Hide data 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([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ca7af0a8-d881-4b00-ab79-18048728a3cc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ca7af0a8-d881-4b00-ab79-18048728a3cc' class='xr-section-summary' >Data variables: <span>(2)</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>copepod_C</span></div><div class='xr-var-dims'>(lat, lon)</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-00145a12-541d-4542-a540-7b508675b58e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-00145a12-541d-4542-a540-7b508675b58e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bf969de-8f3a-4384-b137-de0d42a95102' class='xr-var-data-in' type='checkbox'><label for='data-8bf969de-8f3a-4384-b137-de0d42a95102' title='Show/Hide data 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>n_obs</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-efe74e3e-91a0-48b4-8be1-7cf9d3e4621e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-efe74e3e-91a0-48b4-8be1-7cf9d3e4621e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cf63aec-1352-441e-bb2e-317204cba163' class='xr-var-data-in' type='checkbox'><label for='data-6cf63aec-1352-441e-bb2e-317204cba163' title='Show/Hide data 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>[1036800 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-21bf85f3-4940-425f-8c05-a5a9ddbf8d07' class='xr-section-summary-in' type='checkbox'  ><label for='section-21bf85f3-4940-425f-8c05-a5a9ddbf8d07' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-25dfa596-6277-4793-9390-c76c9788e973' class='xr-index-data-in' type='checkbox'/><label for='index-25dfa596-6277-4793-9390-c76c9788e973' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-89.875, -89.625, -89.375, -89.125, -88.875, -88.625, -88.375, -88.125,\n",
+       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n_obs</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7fb3d405-112e-44a0-96a8-b78ed8180607' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7fb3d405-112e-44a0-96a8-b78ed8180607' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73fb86e7-86b3-430f-ac17-82ce21c9f580' class='xr-var-data-in' type='checkbox'><label for='data-73fb86e7-86b3-430f-ac17-82ce21c9f580' title='Show/Hide data 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>[1036800 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3f903005-dbde-4531-9fa3-2abd563a8c85' class='xr-section-summary-in' type='checkbox'  ><label for='section-3f903005-dbde-4531-9fa3-2abd563a8c85' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6d3a4284-2848-411c-8016-14fb7e106542' class='xr-index-data-in' type='checkbox'/><label for='index-6d3a4284-2848-411c-8016-14fb7e106542' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-89.875, -89.625, -89.375, -89.125, -88.875, -88.625, -88.375, -88.125,\n",
        "       -87.875, -87.625,\n",
        "       ...\n",
        "        87.625,  87.875,  88.125,  88.375,  88.625,  88.875,  89.125,  89.375,\n",
        "        89.625,  89.875],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=720))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9891a4f7-2b70-4910-b0db-671c570ed0d3' class='xr-index-data-in' type='checkbox'/><label for='index-9891a4f7-2b70-4910-b0db-671c570ed0d3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-179.875, -179.625, -179.375, -179.125, -178.875, -178.625, -178.375,\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=720))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8a8041a4-e242-4400-8d11-fad259fdc926' class='xr-index-data-in' type='checkbox'/><label for='index-8a8041a4-e242-4400-8d11-fad259fdc926' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-179.875, -179.625, -179.375, -179.125, -178.875, -178.625, -178.375,\n",
        "       -178.125, -177.875, -177.625,\n",
        "       ...\n",
        "        177.625,  177.875,  178.125,  178.375,  178.625,  178.875,  179.125,\n",
        "        179.375,  179.625,  179.875],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=1440))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-729beb24-1f09-421f-937c-6ebf363ca81e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-729beb24-1f09-421f-937c-6ebf363ca81e' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>file_in :</span></dt><dd>data/orig/copepod-2012__biomass-fields/data/copepod-2012__cmass-m00-qtr.csv</dd></dl></div></li></ul></div></div>"
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=1440))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fb842b4d-2723-4891-bd49-9884f3101dfa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fb842b4d-2723-4891-bd49-9884f3101dfa' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>file_in :</span></dt><dd>data/orig/copepod-2012__biomass-fields/data/copepod-2012__cmass-m00-qtr.csv</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -1246,7 +1059,7 @@
        "    file_in:  data/orig/copepod-2012__biomass-fields/data/copepod-2012__cmass..."
       ]
      },
-     "execution_count": 16,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1257,16 +1070,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x1496f63f2310>"
+       "<matplotlib.collections.QuadMesh at 0x14a5f9016690>"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -1298,7 +1111,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1309,7 +1122,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -1360,9 +1173,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python [conda env:miniconda3-ocean-bgc-cookbook-dev]",
+   "display_name": "ocean-bgc-cookbook-dev",
    "language": "python",
-   "name": "conda-env-miniconda3-ocean-bgc-cookbook-dev-py"
+   "name": "ocean-bgc-cookbook-dev"
   },
   "language_info": {
    "codemirror_mode": {