L22_ArgoDatabyFloat_Traj.ipynb

{
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Accessing trayectory data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, import libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import xarray as xr\n",
    "import netCDF4\n",
    "from matplotlib import pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "Rtraj = xr.open_dataset('./Data/6901254/6901254_Rtraj.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
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       "</style><div class='xr-wrap'><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-fc357fcb-1f52-4e6f-a3eb-5317f0b3c588' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fc357fcb-1f52-4e6f-a3eb-5317f0b3c588' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>N_CYCLE</span>: 66</li><li><span>N_HISTORY</span>: 1043</li><li><span>N_MEASUREMENT</span>: 4289</li><li><span>N_PARAM</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-82dda465-f932-47f7-b7f8-e2677983cb4e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-82dda465-f932-47f7-b7f8-e2677983cb4e' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-a550cd3b-fe3f-4c99-a0f1-e32f234d9dea' class='xr-section-summary-in' type='checkbox'  ><label for='section-a550cd3b-fe3f-4c99-a0f1-e32f234d9dea' class='xr-section-summary' >Data variables: <span>(102)</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>DATA_TYPE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-384b77ae-b4c0-4302-8ab7-72e166a9e121' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-384b77ae-b4c0-4302-8ab7-72e166a9e121' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e72bbd1-f1c0-4e0f-b377-091aa6deab59' class='xr-var-data-in' type='checkbox'><label for='data-4e72bbd1-f1c0-4e0f-b377-091aa6deab59' title='Show/Hide data repr'><svg 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>Data type</dd><dt><span>conventions :</span></dt><dd>Argo reference table 1</dd></dl></div><pre class='xr-var-data'>array(b&#x27;Argo trajectory &#x27;, dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>FORMAT_VERSION</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ce5a7080-98ee-44dd-a56c-6a9306c8105f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce5a7080-98ee-44dd-a56c-6a9306c8105f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c68f61a6-cea8-4c39-9fec-fe003c09e050' class='xr-var-data-in' type='checkbox'><label for='data-c68f61a6-cea8-4c39-9fec-fe003c09e050' title='Show/Hide data repr'><svg 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>File format version</dd></dl></div><pre class='xr-var-data'>array(b&#x27;3.1 &#x27;, dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>HANDBOOK_VERSION</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0b6da55e-32bc-4c92-91b6-8b5d1cb1bc48' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b6da55e-32bc-4c92-91b6-8b5d1cb1bc48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a06b217-1fe2-403e-9e1b-c97960dd7ea5' class='xr-var-data-in' type='checkbox'><label for='data-1a06b217-1fe2-403e-9e1b-c97960dd7ea5' title='Show/Hide data repr'><svg 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>Data handbook version</dd></dl></div><pre class='xr-var-data'>array(b&#x27;1.2 &#x27;, dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>REFERENCE_DATE_TIME</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c84f9319-bacb-48d8-8e7a-bf79145bf3b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c84f9319-bacb-48d8-8e7a-bf79145bf3b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a232fa85-d965-4e53-84f4-d8c5530b53c6' class='xr-var-data-in' type='checkbox'><label for='data-a232fa85-d965-4e53-84f4-d8c5530b53c6' title='Show/Hide data repr'><svg 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>Date of reference for Julian days</dd><dt><span>conventions :</span></dt><dd>YYYYMMDDHHMISS</dd></dl></div><pre class='xr-var-data'>array(b&#x27;19500101000000&#x27;, dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>DATE_CREATION</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5cdf0cc7-77a0-42ab-89eb-9519a140e0b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5cdf0cc7-77a0-42ab-89eb-9519a140e0b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72beeac6-27c4-43c8-a658-921bd56ceb24' class='xr-var-data-in' type='checkbox'><label for='data-72beeac6-27c4-43c8-a658-921bd56ceb24' title='Show/Hide data repr'><svg 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>Date of file creation</dd><dt><span>conventions :</span></dt><dd>YYYYMMDDHHMISS</dd></dl></div><pre class='xr-var-data'>array(b&#x27;20190115112520&#x27;, dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>DATE_UPDATE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7906e027-e2de-4073-b8cc-cdfffedeb08d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7906e027-e2de-4073-b8cc-cdfffedeb08d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44e524f7-1668-4568-a445-e6c8a10059d2' class='xr-var-data-in' type='checkbox'><label for='data-44e524f7-1668-4568-a445-e6c8a10059d2' title='Show/Hide data repr'><svg 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>Date of update of this file</dd><dt><span>conventions :</span></dt><dd>YYYYMMDDHHMISS</dd></dl></div><pre class='xr-var-data'>array(b&#x27;20200625131710&#x27;, dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>PLATFORM_NUMBER</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e131a784-9fe8-451f-98f4-4405063bc078' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e131a784-9fe8-451f-98f4-4405063bc078' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bee6be51-22e0-493c-806f-df90dd63ff04' class='xr-var-data-in' type='checkbox'><label for='data-bee6be51-22e0-493c-806f-df90dd63ff04' title='Show/Hide data repr'><svg 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>Float unique identifier</dd><dt><span>conventions :</span></dt><dd>WMO float identifier : A9IIIII</dd></dl></div><pre class='xr-var-data'>array(b&#x27;6901254 &#x27;, dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>PROJECT_NAME</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-da25e30a-7491-4927-8483-f8f9ee2fd833' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da25e30a-7491-4927-8483-f8f9ee2fd833' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a7126c4-0f79-4ec3-8b37-e07403d60619' class='xr-var-data-in' type='checkbox'><label for='data-6a7126c4-0f79-4ec3-8b37-e07403d60619' title='Show/Hide data repr'><svg 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>Name of the project</dd></dl></div><pre class='xr-var-data'>array(b&#x27;ARGO SPAIN                                                      &#x27;,\n",
       "      dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>PI_NAME</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e675f814-ed1d-4ee4-9405-8edfc4c3e477' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e675f814-ed1d-4ee4-9405-8edfc4c3e477' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd448921-fcee-4997-a8b3-c04481dac340' class='xr-var-data-in' type='checkbox'><label for='data-dd448921-fcee-4997-a8b3-c04481dac340' title='Show/Hide data repr'><svg 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>Name of the principal investigator</dd></dl></div><pre class='xr-var-data'>array(b&#x27;Pedro Velez                                                     &#x27;,\n",
       "      dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>TRAJECTORY_PARAMETERS</span></div><div class='xr-var-dims'>(N_PARAM)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d940a1e6-b6c3-43e7-a3c4-821699351a37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d940a1e6-b6c3-43e7-a3c4-821699351a37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6027d03-90a6-4a7c-bb6d-d68a5902242d' class='xr-var-data-in' type='checkbox'><label for='data-a6027d03-90a6-4a7c-bb6d-d68a5902242d' title='Show/Hide data repr'><svg 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>List of available parameters for the station</dd><dt><span>conventions :</span></dt><dd>Argo reference table 3</dd></dl></div><pre class='xr-var-data'>array([b&#x27;PRES            &#x27;, b&#x27;TEMP            &#x27;, b&#x27;PSAL            &#x27;],\n",
       "      dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>DATA_CENTRE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3c951d10-e70f-4660-9f84-d1ecc9804806' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c951d10-e70f-4660-9f84-d1ecc9804806' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b171ac13-4902-48cb-9099-1ef0d63cebda' class='xr-var-data-in' type='checkbox'><label for='data-b171ac13-4902-48cb-9099-1ef0d63cebda' title='Show/Hide data repr'><svg 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>Data centre in charge of float data processing</dd><dt><span>conventions :</span></dt><dd>Argo reference table 4</dd></dl></div><pre class='xr-var-data'>array(b&#x27;IF&#x27;, dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>DATA_STATE_INDICATOR</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-69fb22ed-6f3e-4fee-bed0-fa824a4890b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69fb22ed-6f3e-4fee-bed0-fa824a4890b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-407261b9-2ab4-4e85-bd6d-2dfa7fc23f71' class='xr-var-data-in' type='checkbox'><label for='data-407261b9-2ab4-4e85-bd6d-2dfa7fc23f71' title='Show/Hide data repr'><svg 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>Degree of processing the data have passed through</dd><dt><span>conventions :</span></dt><dd>Argo reference table 6</dd></dl></div><pre class='xr-var-data'>array(b&#x27;2B  &#x27;, dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>PLATFORM_TYPE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ddb922c6-3ae7-4c1b-bcc4-03bfe843a512' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ddb922c6-3ae7-4c1b-bcc4-03bfe843a512' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a86d3d5-9c13-403d-bab1-543819b4b2dc' class='xr-var-data-in' type='checkbox'><label for='data-5a86d3d5-9c13-403d-bab1-543819b4b2dc' title='Show/Hide data repr'><svg 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>Type of float</dd><dt><span>conventions :</span></dt><dd>Argo reference table 23</dd></dl></div><pre class='xr-var-data'>array(b&#x27;ARVOR                           &#x27;, dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>FLOAT_SERIAL_NO</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-66cdd211-52ba-4946-a540-3eb49cb0889d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66cdd211-52ba-4946-a540-3eb49cb0889d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bbb1d55e-09f9-4f7a-8d56-06b239df2f9d' class='xr-var-data-in' type='checkbox'><label for='data-bbb1d55e-09f9-4f7a-8d56-06b239df2f9d' title='Show/Hide data repr'><svg 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>Serial number of the float</dd></dl></div><pre class='xr-var-data'>array(b&#x27;AL2500-17SP003                  &#x27;, dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>FIRMWARE_VERSION</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2bbe6f4b-dda6-49be-9740-966be992a8ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2bbe6f4b-dda6-49be-9740-966be992a8ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14858ea9-af33-432b-bea6-ff174fb0854c' class='xr-var-data-in' type='checkbox'><label for='data-14858ea9-af33-432b-bea6-ff174fb0854c' title='Show/Hide data repr'><svg 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>Instrument firmware version</dd></dl></div><pre class='xr-var-data'>array(b&#x27;n/a                             &#x27;, dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>WMO_INST_TYPE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b34d71e5-9353-463f-8f82-57b6f28e841f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b34d71e5-9353-463f-8f82-57b6f28e841f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90d7f702-91d8-499d-9397-ce1559fcbc00' class='xr-var-data-in' type='checkbox'><label for='data-90d7f702-91d8-499d-9397-ce1559fcbc00' title='Show/Hide data repr'><svg 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>Coded instrument type</dd><dt><span>conventions :</span></dt><dd>Argo reference table 8</dd></dl></div><pre class='xr-var-data'>array(b&#x27;844 &#x27;, dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>POSITIONING_SYSTEM</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-519284bf-573b-437f-be4a-87d9aac5a60a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-519284bf-573b-437f-be4a-87d9aac5a60a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d5ec1f5-8a86-4a53-805f-844ededd4932' class='xr-var-data-in' type='checkbox'><label for='data-1d5ec1f5-8a86-4a53-805f-844ededd4932' title='Show/Hide data repr'><svg 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>Positioning system</dd></dl></div><pre class='xr-var-data'>array(b&#x27;ARGOS   &#x27;, dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-45ed08c4-d966-4464-9488-3c3b476a65f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45ed08c4-d966-4464-9488-3c3b476a65f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f11bf9d5-8d8a-4048-ae1c-d76bbb3167d5' class='xr-var-data-in' type='checkbox'><label for='data-f11bf9d5-8d8a-4048-ae1c-d76bbb3167d5' title='Show/Hide data repr'><svg 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>Julian day (UTC) of each measurement relative to REFERENCE_DATE_TIME</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>1.1574074074074073e-05</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>comment_on_resolution :</span></dt><dd>JULD resolution is 1 second, except for measurement codes [89 100 190 203 250 290 300 500 503 590 600 700 800] for which JULD resolution is 1 minute and for measurement codes [150 450 901] for which JULD resolution is 6 minutes</dd></dl></div><pre class='xr-var-data'>array([&#x27;2018-10-23T17:55:03.000001536&#x27;, &#x27;2018-10-23T17:32:27.000004096&#x27;,\n",
       "       &#x27;2018-10-23T17:32:27.000004096&#x27;, ..., &#x27;2020-06-24T12:09:08.000004864&#x27;,\n",
       "       &#x27;2020-06-24T13:00:23.000002560&#x27;,                           &#x27;NaT&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_STATUS</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d082168c-a5cc-41c7-bcd7-7e0bfcb612f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d082168c-a5cc-41c7-bcd7-7e0bfcb612f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aadc2e31-643a-47b8-a788-645fe6298096' class='xr-var-data-in' type='checkbox'><label for='data-aadc2e31-643a-47b8-a788-645fe6298096' title='Show/Hide data repr'><svg 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>Status of the date and time</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><pre class='xr-var-data'>array([b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, ..., b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;9&#x27;], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_QC</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5aa58d56-4104-4b46-aef5-0c3e9bef1fff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5aa58d56-4104-4b46-aef5-0c3e9bef1fff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70896b10-08f7-45fd-b472-45bfefc59d59' class='xr-var-data-in' type='checkbox'><label for='data-70896b10-08f7-45fd-b472-45bfefc59d59' title='Show/Hide data repr'><svg 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>Quality on date and time</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><pre class='xr-var-data'>array([b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, ..., b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;9&#x27;], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_ADJUSTED</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-25cb84a6-6134-47aa-912a-b2cfcf8e30f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25cb84a6-6134-47aa-912a-b2cfcf8e30f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b467b989-2764-4441-b060-8c2491c1f718' class='xr-var-data-in' type='checkbox'><label for='data-b467b989-2764-4441-b060-8c2491c1f718' title='Show/Hide data repr'><svg 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>Adjusted julian day (UTC) of each measurement relative to REFERENCE_DATE_TIME</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>1.1574074074074073e-05</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>comment_on_resolution :</span></dt><dd>JULD_ADJUSTED resolution is 1 second, except for measurement codes [89 100 190 203 250 290 300 500 503 590 600 700 800] for which JULD_ADJUSTED resolution is 1 minute and for measurement codes [150 450 901] for which JULD_ADJUSTED resolution is 6 minutes</dd></dl></div><pre class='xr-var-data'>array([                          &#x27;NaT&#x27;, &#x27;2018-10-23T17:32:27.000004096&#x27;,\n",
       "       &#x27;2018-10-23T17:32:27.000004096&#x27;, ..., &#x27;2020-06-24T12:09:08.000004864&#x27;,\n",
       "       &#x27;2020-06-24T13:00:23.000002560&#x27;,                           &#x27;NaT&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_ADJUSTED_STATUS</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3707be22-d068-4fb0-903c-c8322ac913f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3707be22-d068-4fb0-903c-c8322ac913f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-118338c8-cad7-4bee-aec9-ed426a979e5d' class='xr-var-data-in' type='checkbox'><label for='data-118338c8-cad7-4bee-aec9-ed426a979e5d' title='Show/Hide data repr'><svg 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>Status of the JULD_ADJUSTED date</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><pre class='xr-var-data'>array([nan, b&#x27;4&#x27;, b&#x27;4&#x27;, ..., b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;9&#x27;], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_ADJUSTED_QC</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3ffeb613-d07a-44fd-94c3-9d4f3951438e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ffeb613-d07a-44fd-94c3-9d4f3951438e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99368d5e-8d99-4b75-9eec-70efac622a50' class='xr-var-data-in' type='checkbox'><label for='data-99368d5e-8d99-4b75-9eec-70efac622a50' title='Show/Hide data repr'><svg 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>Quality on adjusted date and time</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><pre class='xr-var-data'>array([nan, b&#x27;1&#x27;, b&#x27;1&#x27;, ..., b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;9&#x27;], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>LATITUDE</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-efd55ef2-0e2f-4108-8bd2-537f35dc1aa2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efd55ef2-0e2f-4108-8bd2-537f35dc1aa2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8e3062c-5525-49e1-bb1b-dc46e09cf0bb' class='xr-var-data-in' type='checkbox'><label for='data-e8e3062c-5525-49e1-bb1b-dc46e09cf0bb' title='Show/Hide data repr'><svg 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>Latitude of each location</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><pre class='xr-var-data'>array([29.166,    nan, 29.163, ..., 29.408,    nan,    nan])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>LONGITUDE</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-06cf101f-9392-4ffc-a942-2f349ee867d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-06cf101f-9392-4ffc-a942-2f349ee867d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-418615e5-35a4-4d4b-beb7-642e616af9c9' class='xr-var-data-in' type='checkbox'><label for='data-418615e5-35a4-4d4b-beb7-642e616af9c9' title='Show/Hide data repr'><svg 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>Longitude of each location</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><pre class='xr-var-data'>array([-15.501,     nan, -15.504, ..., -20.393,     nan,     nan])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>POSITION_ACCURACY</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1be8254b-3ca2-4351-b6b0-a0d13e173199' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1be8254b-3ca2-4351-b6b0-a0d13e173199' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f81d2c61-44dd-42cc-9939-ffe3622947ec' class='xr-var-data-in' type='checkbox'><label for='data-f81d2c61-44dd-42cc-9939-ffe3622947ec' title='Show/Hide data repr'><svg 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>Estimated accuracy in latitude and longitude</dd><dt><span>conventions :</span></dt><dd>Argo reference table 5</dd></dl></div><pre class='xr-var-data'>array([nan, nan, b&#x27;2&#x27;, ..., b&#x27;3&#x27;, nan, nan], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>POSITION_QC</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-02bb5f5b-adaf-4a20-8e2c-ab19f577b44d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02bb5f5b-adaf-4a20-8e2c-ab19f577b44d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-526b56dd-59da-4bdb-9aac-87de78a15f22' class='xr-var-data-in' type='checkbox'><label for='data-526b56dd-59da-4bdb-9aac-87de78a15f22' title='Show/Hide data repr'><svg 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>Quality on position</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><pre class='xr-var-data'>array([b&#x27;1&#x27;, nan, b&#x27;1&#x27;, ..., b&#x27;1&#x27;, nan, nan], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>CYCLE_NUMBER</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-158e4c90-5086-45ef-9887-8255cf975909' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-158e4c90-5086-45ef-9887-8255cf975909' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d521164-6048-45c3-9653-0f58d2998d96' class='xr-var-data-in' type='checkbox'><label for='data-5d521164-6048-45c3-9653-0f58d2998d96' title='Show/Hide data repr'><svg 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>Float cycle number of the measurement</dd><dt><span>conventions :</span></dt><dd>0...N, 0 : launch cycle, 1 : first complete cycle</dd></dl></div><pre class='xr-var-data'>array([-1.,  0.,  0., ..., 65., 65., 65.])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>CYCLE_NUMBER_ADJUSTED</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a4bc7ad2-30e8-4260-8165-659d4d042047' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4bc7ad2-30e8-4260-8165-659d4d042047' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9d06ba0-7d59-4c88-86da-52c0f919b6b7' class='xr-var-data-in' type='checkbox'><label for='data-a9d06ba0-7d59-4c88-86da-52c0f919b6b7' title='Show/Hide data repr'><svg 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>Adjusted float cycle number of the measurement</dd><dt><span>conventions :</span></dt><dd>0...N, 0 : launch cycle, 1 : first complete cycle</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, ..., nan, nan, nan])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>MEASUREMENT_CODE</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f5ae25be-9eb4-48d9-b437-05205166b259' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5ae25be-9eb4-48d9-b437-05205166b259' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aeb46b2b-fa20-4880-b2c4-da142544de34' class='xr-var-data-in' type='checkbox'><label for='data-aeb46b2b-fa20-4880-b2c4-da142544de34' title='Show/Hide data repr'><svg 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>Flag referring to a measurement event in the cycle</dd><dt><span>conventions :</span></dt><dd>Argo reference table 15</dd></dl></div><pre class='xr-var-data'>array([  0., 702., 703., ..., 703., 704., 800.])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>AXES_ERROR_ELLIPSE_MAJOR</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-00a4400a-e895-450d-b1d2-177464bc0792' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00a4400a-e895-450d-b1d2-177464bc0792' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1af4c77-7a26-47f3-8ea3-25c95e178d49' class='xr-var-data-in' type='checkbox'><label for='data-a1af4c77-7a26-47f3-8ea3-25c95e178d49' title='Show/Hide data repr'><svg 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>Major axis of error ellipse from positioning system</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>AXES_ERROR_ELLIPSE_MINOR</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-482d4991-ca38-4334-8632-df1ffa9cedb2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-482d4991-ca38-4334-8632-df1ffa9cedb2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21713c09-b8c2-448e-9bc0-7d562c686a4b' class='xr-var-data-in' type='checkbox'><label for='data-21713c09-b8c2-448e-9bc0-7d562c686a4b' title='Show/Hide data repr'><svg 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>Minor axis of error ellipse from positioning system</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>AXES_ERROR_ELLIPSE_ANGLE</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-38720281-31cf-4adb-a3da-d7bca3396e75' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38720281-31cf-4adb-a3da-d7bca3396e75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b12bb1b-75cf-4fb4-86df-b721f5f432e6' class='xr-var-data-in' type='checkbox'><label for='data-4b12bb1b-75cf-4fb4-86df-b721f5f432e6' title='Show/Hide data repr'><svg 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>Angle of error ellipse from positioning system</dd><dt><span>units :</span></dt><dd>Degrees (from North when heading East)</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>SATELLITE_NAME</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ab87e43f-10a2-47ac-96af-0adcf86bdb4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab87e43f-10a2-47ac-96af-0adcf86bdb4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4c6ab9d-210d-4f6e-93a0-bbaf39e3ae1d' class='xr-var-data-in' type='checkbox'><label for='data-a4c6ab9d-210d-4f6e-93a0-bbaf39e3ae1d' title='Show/Hide data repr'><svg 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>Satellite name from positioning system</dd></dl></div><pre class='xr-var-data'>array([nan, nan, b&#x27;P&#x27;, ..., b&#x27;C&#x27;, nan, nan], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>PRES</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f1b61004-a031-4082-8baa-1434a88a77c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1b61004-a031-4082-8baa-1434a88a77c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef20da9b-c33b-463a-94ae-7cc1274dea9a' class='xr-var-data-in' type='checkbox'><label for='data-ef20da9b-c33b-463a-94ae-7cc1274dea9a' title='Show/Hide data repr'><svg 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>Sea water pressure, equals 0 at sea-level</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd><dt><span>units :</span></dt><dd>decibar</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>12000.0</dd><dt><span>C_format :</span></dt><dd>%7.1f</dd><dt><span>FORTRAN_format :</span></dt><dd>F7.1</dd><dt><span>resolution :</span></dt><dd>1.0</dd><dt><span>comment_on_resolution :</span></dt><dd>PRES resolution is 1 dbar, except for measurement codes [150 198 398 497 498 901] for which PRES resolution is 10 dbar</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>PRES_QC</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8759b470-6c3f-49fa-9e60-bc60a3bf88b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8759b470-6c3f-49fa-9e60-bc60a3bf88b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06f02596-0ee7-4304-b630-69b145cd0463' class='xr-var-data-in' type='checkbox'><label for='data-06f02596-0ee7-4304-b630-69b145cd0463' title='Show/Hide data repr'><svg 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>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, ..., nan, nan, nan], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>PRES_ADJUSTED</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c6d85304-3c0d-4ca9-8392-c26a012b7a34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6d85304-3c0d-4ca9-8392-c26a012b7a34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea6cae08-2dcf-4153-bade-40f4796f8169' class='xr-var-data-in' type='checkbox'><label for='data-ea6cae08-2dcf-4153-bade-40f4796f8169' title='Show/Hide data repr'><svg 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>Sea water pressure, equals 0 at sea-level</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd><dt><span>units :</span></dt><dd>decibar</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>12000.0</dd><dt><span>C_format :</span></dt><dd>%7.1f</dd><dt><span>FORTRAN_format :</span></dt><dd>F7.1</dd><dt><span>resolution :</span></dt><dd>1.0</dd><dt><span>comment_on_resolution :</span></dt><dd>PRES_ADJUSTED resolution is 1 dbar, except for measurement codes [150 198 398 497 498 901] for which PRES_ADJUSTED resolution is 10 dbar</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>PRES_ADJUSTED_QC</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9585b221-7488-4fce-8ab2-98f29426d3a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9585b221-7488-4fce-8ab2-98f29426d3a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d5d2abd-68ee-4d33-bc1d-25f1592a8df0' class='xr-var-data-in' type='checkbox'><label for='data-8d5d2abd-68ee-4d33-bc1d-25f1592a8df0' title='Show/Hide data repr'><svg 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>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, ..., nan, nan, nan], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>PRES_ADJUSTED_ERROR</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-05570246-df34-4cc8-988f-8fb9203d4f1d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05570246-df34-4cc8-988f-8fb9203d4f1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f19a0d9-cfff-4072-979e-cb7d6b0635ef' class='xr-var-data-in' type='checkbox'><label for='data-1f19a0d9-cfff-4072-979e-cb7d6b0635ef' title='Show/Hide data repr'><svg 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>Contains the error on the adjusted values as determined by the delayed mode QC process</dd><dt><span>units :</span></dt><dd>decibar</dd><dt><span>C_format :</span></dt><dd>%7.1f</dd><dt><span>FORTRAN_format :</span></dt><dd>F7.1</dd><dt><span>resolution :</span></dt><dd>1.0</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>TEMP</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c23ad6f6-de4b-4b3c-a4d6-0c076131eda2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c23ad6f6-de4b-4b3c-a4d6-0c076131eda2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0ff392c-005d-497a-a37b-c79d58928b09' class='xr-var-data-in' type='checkbox'><label for='data-e0ff392c-005d-497a-a37b-c79d58928b09' title='Show/Hide data repr'><svg 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>Sea temperature in-situ ITS-90 scale</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd><dt><span>units :</span></dt><dd>degree_Celsius</dd><dt><span>valid_min :</span></dt><dd>-2.5</dd><dt><span>valid_max :</span></dt><dd>40.0</dd><dt><span>C_format :</span></dt><dd>%9.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F9.3</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>TEMP_QC</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2fe75ad8-b76a-4cb7-8d2c-bbd56bf8f7ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2fe75ad8-b76a-4cb7-8d2c-bbd56bf8f7ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-958e44e2-cc61-408f-857a-e57c6e6e9674' class='xr-var-data-in' type='checkbox'><label for='data-958e44e2-cc61-408f-857a-e57c6e6e9674' title='Show/Hide data repr'><svg 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>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, ..., nan, nan, nan], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>TEMP_ADJUSTED</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-641dc233-1ccc-463c-ad26-71a7615f4635' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-641dc233-1ccc-463c-ad26-71a7615f4635' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56dd4e25-6d04-497b-97f3-5727e184b4d9' class='xr-var-data-in' type='checkbox'><label for='data-56dd4e25-6d04-497b-97f3-5727e184b4d9' title='Show/Hide data repr'><svg 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>Sea temperature in-situ ITS-90 scale</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd><dt><span>units :</span></dt><dd>degree_Celsius</dd><dt><span>valid_min :</span></dt><dd>-2.5</dd><dt><span>valid_max :</span></dt><dd>40.0</dd><dt><span>C_format :</span></dt><dd>%9.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F9.3</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>TEMP_ADJUSTED_QC</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6c7d02dd-633b-4571-9158-43a638cd8f40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c7d02dd-633b-4571-9158-43a638cd8f40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5dc7efa2-1f9d-413a-b351-9d0d7988f891' class='xr-var-data-in' type='checkbox'><label for='data-5dc7efa2-1f9d-413a-b351-9d0d7988f891' title='Show/Hide data repr'><svg 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>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, ..., nan, nan, nan], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>TEMP_ADJUSTED_ERROR</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-947b55b3-bb1c-4e1c-b5f1-8e046c3b64b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-947b55b3-bb1c-4e1c-b5f1-8e046c3b64b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ff060ce-4919-4400-ac52-1b38b1b1e897' class='xr-var-data-in' type='checkbox'><label for='data-5ff060ce-4919-4400-ac52-1b38b1b1e897' title='Show/Hide data repr'><svg 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>Contains the error on the adjusted values as determined by the delayed mode QC process</dd><dt><span>units :</span></dt><dd>degree_Celsius</dd><dt><span>C_format :</span></dt><dd>%9.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F9.3</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>PSAL</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cdfd5b48-7f9e-45ed-b431-1a859319141f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cdfd5b48-7f9e-45ed-b431-1a859319141f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f61c3a09-6760-4a30-9237-da68faf8fcb4' class='xr-var-data-in' type='checkbox'><label for='data-f61c3a09-6760-4a30-9237-da68faf8fcb4' title='Show/Hide data repr'><svg 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>Practical salinity</dd><dt><span>standard_name :</span></dt><dd>sea_water_salinity</dd><dt><span>units :</span></dt><dd>psu</dd><dt><span>valid_min :</span></dt><dd>2.0</dd><dt><span>valid_max :</span></dt><dd>41.0</dd><dt><span>C_format :</span></dt><dd>%9.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F9.3</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>PSAL_QC</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4c50c239-278b-4070-99d2-3dbbb0d594f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c50c239-278b-4070-99d2-3dbbb0d594f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59479bea-328c-4e8e-8496-674239ef1dd4' class='xr-var-data-in' type='checkbox'><label for='data-59479bea-328c-4e8e-8496-674239ef1dd4' title='Show/Hide data repr'><svg 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>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, ..., nan, nan, nan], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>PSAL_ADJUSTED</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bb2c31ef-8ff3-42b9-a47b-05dbcd8c3830' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb2c31ef-8ff3-42b9-a47b-05dbcd8c3830' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d2ee595-38a8-425e-9687-cc7e0db28206' class='xr-var-data-in' type='checkbox'><label for='data-8d2ee595-38a8-425e-9687-cc7e0db28206' title='Show/Hide data repr'><svg 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>Practical salinity</dd><dt><span>standard_name :</span></dt><dd>sea_water_salinity</dd><dt><span>units :</span></dt><dd>psu</dd><dt><span>valid_min :</span></dt><dd>2.0</dd><dt><span>valid_max :</span></dt><dd>41.0</dd><dt><span>C_format :</span></dt><dd>%9.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F9.3</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>PSAL_ADJUSTED_QC</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b2fbf46a-94b4-498d-a5ec-09c8027b8794' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2fbf46a-94b4-498d-a5ec-09c8027b8794' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1fbeb76-108e-499c-b1be-2697b5bf0bcf' class='xr-var-data-in' type='checkbox'><label for='data-b1fbeb76-108e-499c-b1be-2697b5bf0bcf' title='Show/Hide data repr'><svg 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>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, ..., nan, nan, nan], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>PSAL_ADJUSTED_ERROR</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ba82d474-9401-40b1-9007-6446264c8e30' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba82d474-9401-40b1-9007-6446264c8e30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0833220b-5cdc-43f7-80e3-6c8a0e56648c' class='xr-var-data-in' type='checkbox'><label for='data-0833220b-5cdc-43f7-80e3-6c8a0e56648c' title='Show/Hide data repr'><svg 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>Contains the error on the adjusted values as determined by the delayed mode QC process</dd><dt><span>units :</span></dt><dd>psu</dd><dt><span>C_format :</span></dt><dd>%9.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F9.3</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_DESCENT_START</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d60708d1-3db4-4fc9-b6e7-9cf91defa78f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d60708d1-3db4-4fc9-b6e7-9cf91defa78f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b151b8f2-f93f-4063-8c3c-55d13ff0aa61' class='xr-var-data-in' type='checkbox'><label for='data-b151b8f2-f93f-4063-8c3c-55d13ff0aa61' title='Show/Hide data repr'><svg 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>Descent start date of the cycle</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.0006944444444444445</dd></dl></div><pre class='xr-var-data'>array([                          &#x27;NaT&#x27;, &#x27;2018-10-23T20:54:00.000000000&#x27;,\n",
       "       &#x27;2018-10-25T14:09:00.000000000&#x27;, &#x27;2018-10-27T13:54:59.999999744&#x27;,\n",
       "       &#x27;2018-10-29T13:42:00.000000256&#x27;, &#x27;2018-10-31T13:44:00.000000000&#x27;,\n",
       "       &#x27;2018-11-02T13:53:00.000000000&#x27;, &#x27;2018-11-12T13:44:00.000000000&#x27;,\n",
       "       &#x27;2018-11-22T13:40:00.000000000&#x27;, &#x27;2018-12-02T13:52:00.000000000&#x27;,\n",
       "       &#x27;2018-12-12T13:44:00.000000000&#x27;, &#x27;2018-12-22T13:46:59.999999744&#x27;,\n",
       "       &#x27;2019-01-01T13:38:00.000000000&#x27;, &#x27;2019-01-11T13:42:00.000000256&#x27;,\n",
       "       &#x27;2019-01-21T13:50:00.000000256&#x27;, &#x27;2019-01-31T13:55:00.000000256&#x27;,\n",
       "       &#x27;2019-02-10T13:40:00.000000000&#x27;, &#x27;2019-02-20T14:03:00.000000256&#x27;,\n",
       "       &#x27;2019-03-02T13:48:00.000000000&#x27;, &#x27;2019-03-12T13:48:00.000000000&#x27;,\n",
       "       &#x27;2019-03-22T13:48:00.000000000&#x27;, &#x27;2019-04-01T13:44:00.000000000&#x27;,\n",
       "       &#x27;2019-04-11T13:52:00.000000000&#x27;, &#x27;2019-04-21T14:00:59.999999744&#x27;,\n",
       "       &#x27;2019-05-01T13:57:59.999999744&#x27;, &#x27;2019-05-11T13:44:59.999999744&#x27;,\n",
       "       &#x27;2019-05-21T13:52:59.999999744&#x27;, &#x27;2019-05-31T13:52:59.999999744&#x27;,\n",
       "       &#x27;2019-06-10T13:38:00.000000000&#x27;, &#x27;2019-06-20T13:49:00.000000000&#x27;,\n",
       "       &#x27;2019-06-30T13:54:00.000000000&#x27;, &#x27;2019-07-10T13:51:00.000000000&#x27;,\n",
       "       &#x27;2019-07-20T13:54:00.000000000&#x27;, &#x27;2019-07-30T13:48:00.000000000&#x27;,\n",
       "       &#x27;2019-08-09T13:49:00.000000000&#x27;, &#x27;2019-08-19T13:59:00.000000000&#x27;,\n",
       "       &#x27;2019-08-29T13:43:00.000000000&#x27;, &#x27;2019-09-08T13:36:00.000000000&#x27;,\n",
       "       &#x27;2019-09-18T13:41:00.000000000&#x27;, &#x27;2019-09-28T13:37:00.000000000&#x27;,\n",
       "       &#x27;2019-10-08T13:37:00.000000000&#x27;, &#x27;2019-10-18T13:41:59.999999744&#x27;,\n",
       "       &#x27;2019-10-28T13:33:00.000000000&#x27;, &#x27;2019-11-07T13:44:00.000000000&#x27;,\n",
       "       &#x27;2019-11-17T13:42:59.999999744&#x27;, &#x27;2019-11-27T13:26:59.999999744&#x27;,\n",
       "       &#x27;2019-12-07T13:47:59.999999744&#x27;, &#x27;2019-12-17T13:38:00.000000000&#x27;,\n",
       "       &#x27;2019-12-27T13:41:59.999999744&#x27;, &#x27;2020-01-06T13:33:00.000000000&#x27;,\n",
       "       &#x27;2020-01-16T13:49:59.999999744&#x27;, &#x27;2020-01-26T13:36:59.999999744&#x27;,\n",
       "       &#x27;2020-02-05T13:48:00.000000000&#x27;, &#x27;2020-02-15T13:39:00.000000000&#x27;,\n",
       "       &#x27;2020-02-25T13:31:00.000000000&#x27;, &#x27;2020-03-06T13:39:00.000000000&#x27;,\n",
       "       &#x27;2020-03-16T13:37:00.000000000&#x27;, &#x27;2020-03-26T13:43:00.000000000&#x27;,\n",
       "       &#x27;2020-04-05T13:21:00.000000000&#x27;, &#x27;2020-04-15T13:30:00.000000000&#x27;,\n",
       "       &#x27;2020-04-25T13:46:59.999999744&#x27;, &#x27;2020-05-05T13:41:59.999999744&#x27;,\n",
       "       &#x27;2020-05-15T13:33:00.000000000&#x27;, &#x27;2020-05-25T13:42:00.000000256&#x27;,\n",
       "       &#x27;2020-06-04T13:33:00.000000000&#x27;, &#x27;2020-06-14T13:33:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_DESCENT_START_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c7cf5db9-b386-424e-98fa-f2dd1f06e2ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7cf5db9-b386-424e-98fa-f2dd1f06e2ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f802675c-23cd-4385-a559-f6a8b3b76c51' class='xr-var-data-in' type='checkbox'><label for='data-f802675c-23cd-4385-a559-f6a8b3b76c51' title='Show/Hide data repr'><svg 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>Status of descent start date of the cycle</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><pre class='xr-var-data'>array([nan, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_FIRST_STABILIZATION</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7665f79c-a67e-42f8-94a2-dbe5170b060c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7665f79c-a67e-42f8-94a2-dbe5170b060c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27e32bb7-0674-427a-86fa-6f7034ebbaef' class='xr-var-data-in' type='checkbox'><label for='data-27e32bb7-0674-427a-86fa-6f7034ebbaef' title='Show/Hide data repr'><svg 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>Time when a float first becomes water-neutral</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.004166666666666667</dd></dl></div><pre class='xr-var-data'>array([                          &#x27;NaT&#x27;, &#x27;2018-10-24T00:34:00.000000000&#x27;,\n",
       "       &#x27;2018-10-25T14:34:00.000000000&#x27;, &#x27;2018-10-27T14:34:00.000000000&#x27;,\n",
       "       &#x27;2018-10-29T14:16:00.000000000&#x27;, &#x27;2018-10-31T14:10:00.000000000&#x27;,\n",
       "       &#x27;2018-11-02T15:52:00.000000000&#x27;, &#x27;2018-11-12T14:04:00.000000000&#x27;,\n",
       "       &#x27;2018-11-22T15:10:00.000000000&#x27;, &#x27;2018-12-02T18:40:00.000000000&#x27;,\n",
       "       &#x27;2018-12-12T14:34:00.000000000&#x27;, &#x27;2018-12-22T16:46:00.000000000&#x27;,\n",
       "       &#x27;2019-01-01T16:15:00.000000256&#x27;, &#x27;2019-01-11T16:21:00.000000000&#x27;,\n",
       "       &#x27;2019-01-21T16:45:00.000000000&#x27;, &#x27;2019-01-31T17:15:00.000000000&#x27;,\n",
       "       &#x27;2019-02-10T17:15:00.000000000&#x27;, &#x27;2019-02-20T17:15:00.000000000&#x27;,\n",
       "       &#x27;2019-03-02T17:15:00.000000000&#x27;, &#x27;2019-03-12T16:45:00.000000000&#x27;,\n",
       "       &#x27;2019-03-22T16:21:00.000000000&#x27;, &#x27;2019-04-01T17:02:00.000000000&#x27;,\n",
       "       &#x27;2019-04-11T17:13:59.999999744&#x27;, &#x27;2019-04-21T16:56:00.000000000&#x27;,\n",
       "       &#x27;2019-05-01T17:31:59.999999744&#x27;, &#x27;2019-05-11T16:32:00.000000000&#x27;,\n",
       "       &#x27;2019-05-21T15:38:00.000000000&#x27;, &#x27;2019-05-31T16:44:00.000000000&#x27;,\n",
       "       &#x27;2019-06-10T14:08:00.000000000&#x27;, &#x27;2019-06-20T14:13:59.999999744&#x27;,\n",
       "       &#x27;2019-06-30T16:14:00.000000000&#x27;, &#x27;2019-07-10T14:13:59.999999744&#x27;,\n",
       "       &#x27;2019-07-20T14:31:59.999999744&#x27;, &#x27;2019-07-30T16:37:00.000000000&#x27;,\n",
       "       &#x27;2019-08-09T14:25:00.000000000&#x27;, &#x27;2019-08-19T15:13:00.000000000&#x27;,\n",
       "       &#x27;2019-08-29T14:13:00.000000000&#x27;, &#x27;2019-09-08T14:01:00.000000000&#x27;,\n",
       "       &#x27;2019-09-18T14:01:00.000000000&#x27;, &#x27;2019-09-28T14:07:00.000000000&#x27;,\n",
       "       &#x27;2019-10-08T14:19:00.000000256&#x27;, &#x27;2019-10-18T14:24:00.000000000&#x27;,\n",
       "       &#x27;2019-10-28T14:11:59.999999744&#x27;, &#x27;2019-11-07T14:35:59.999999744&#x27;,\n",
       "       &#x27;2019-11-17T14:24:00.000000000&#x27;, &#x27;2019-11-27T15:41:59.999999744&#x27;,\n",
       "       &#x27;2019-12-07T16:54:00.000000000&#x27;, &#x27;2019-12-17T17:18:00.000000000&#x27;,\n",
       "       &#x27;2019-12-27T15:06:00.000000000&#x27;, &#x27;2020-01-06T16:12:00.000000000&#x27;,\n",
       "       &#x27;2020-01-16T17:05:59.999999744&#x27;, &#x27;2020-01-26T16:05:59.999999744&#x27;,\n",
       "       &#x27;2020-02-05T17:17:00.000000000&#x27;, &#x27;2020-02-15T17:10:59.999999744&#x27;,\n",
       "       &#x27;2020-02-25T15:47:00.000000000&#x27;, &#x27;2020-03-06T13:53:00.000000000&#x27;,\n",
       "       &#x27;2020-03-16T17:23:00.000000000&#x27;, &#x27;2020-03-26T14:59:00.000000000&#x27;,\n",
       "       &#x27;2020-04-05T16:59:00.000000000&#x27;, &#x27;2020-04-15T16:53:00.000000000&#x27;,\n",
       "       &#x27;2020-04-25T17:17:00.000000000&#x27;, &#x27;2020-05-05T16:35:00.000000000&#x27;,\n",
       "       &#x27;2020-05-15T17:16:00.000000256&#x27;, &#x27;2020-05-25T16:34:00.000000256&#x27;,\n",
       "       &#x27;2020-06-04T16:10:00.000000256&#x27;, &#x27;2020-06-14T14:52:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_FIRST_STABILIZATION_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5a110e74-c0f6-4b38-a4a4-b782b8c87016' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a110e74-c0f6-4b38-a4a4-b782b8c87016' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f34c388d-7588-49b9-a643-86f3ecdac210' class='xr-var-data-in' type='checkbox'><label for='data-f34c388d-7588-49b9-a643-86f3ecdac210' title='Show/Hide data repr'><svg 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>Status of time when a float first becomes water-neutral</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><pre class='xr-var-data'>array([nan, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_DESCENT_END</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0ba11b48-74cb-4dbc-b963-6b0502e42f63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ba11b48-74cb-4dbc-b963-6b0502e42f63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8c63048-f81a-43fe-92ef-f3e863f87f66' class='xr-var-data-in' type='checkbox'><label for='data-c8c63048-f81a-43fe-92ef-f3e863f87f66' title='Show/Hide data repr'><svg 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>Descent end date of the cycle</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.0006944444444444445</dd></dl></div><pre class='xr-var-data'>array([&#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_DESCENT_END_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4328e33f-1441-4a44-a116-1c2f3fe08069' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4328e33f-1441-4a44-a116-1c2f3fe08069' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05c0bf90-60da-469c-bcb3-3124ed1f5657' class='xr-var-data-in' type='checkbox'><label for='data-05c0bf90-60da-469c-bcb3-3124ed1f5657' title='Show/Hide data repr'><svg 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>Status of descent end date of the cycle</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_PARK_START</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5070ea1c-25cd-4d2a-9cf5-7285645154c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5070ea1c-25cd-4d2a-9cf5-7285645154c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6476a104-d107-4ab2-8ce1-ae7b2acfdcc8' class='xr-var-data-in' type='checkbox'><label for='data-6476a104-d107-4ab2-8ce1-ae7b2acfdcc8' title='Show/Hide data repr'><svg 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>Drift start date of the cycle</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.0006944444444444445</dd></dl></div><pre class='xr-var-data'>array([                          &#x27;NaT&#x27;, &#x27;2018-10-24T05:16:00.000000000&#x27;,\n",
       "       &#x27;2018-10-26T00:06:00.000000000&#x27;, &#x27;2018-10-27T23:52:00.000000000&#x27;,\n",
       "       &#x27;2018-10-29T23:29:00.000000000&#x27;, &#x27;2018-10-31T22:46:00.000000000&#x27;,\n",
       "       &#x27;2018-11-03T00:15:00.000000000&#x27;, &#x27;2018-11-12T23:11:00.000000256&#x27;,\n",
       "       &#x27;2018-11-23T00:27:00.000000000&#x27;, &#x27;2018-12-02T18:44:00.000000000&#x27;,\n",
       "       &#x27;2018-12-12T23:22:00.000000000&#x27;, &#x27;2018-12-23T00:39:00.000000000&#x27;,\n",
       "       &#x27;2019-01-01T23:50:00.000000256&#x27;, &#x27;2019-01-12T01:14:00.000000000&#x27;,\n",
       "       &#x27;2019-01-22T00:23:00.000000000&#x27;, &#x27;2019-02-01T00:47:00.000000000&#x27;,\n",
       "       &#x27;2019-02-11T00:07:00.000000000&#x27;, &#x27;2019-02-21T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-03-03T00:10:00.000000000&#x27;, &#x27;2019-03-13T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-03-22T23:35:00.000000256&#x27;, &#x27;2019-04-01T21:09:00.000000000&#x27;,\n",
       "       &#x27;2019-04-11T23:39:00.000000000&#x27;, &#x27;2019-04-21T23:08:00.000000000&#x27;,\n",
       "       &#x27;2019-05-02T00:24:59.999999744&#x27;, &#x27;2019-05-12T00:32:00.000000000&#x27;,\n",
       "       &#x27;2019-05-22T01:25:00.000000000&#x27;, &#x27;2019-05-31T22:40:00.000000000&#x27;,\n",
       "       &#x27;2019-06-10T23:31:00.000000000&#x27;, &#x27;2019-06-20T23:21:00.000000000&#x27;,\n",
       "       &#x27;2019-07-01T02:00:59.999999744&#x27;, &#x27;2019-07-10T23:37:59.999999744&#x27;,\n",
       "       &#x27;2019-07-21T00:40:59.999999744&#x27;, &#x27;2019-07-31T00:26:00.000000000&#x27;,\n",
       "       &#x27;2019-08-10T00:06:00.000000000&#x27;, &#x27;2019-08-20T00:06:00.000000000&#x27;,\n",
       "       &#x27;2019-08-30T00:20:00.000000256&#x27;, &#x27;2019-09-08T23:33:00.000000000&#x27;,\n",
       "       &#x27;2019-09-19T00:18:00.000000000&#x27;, &#x27;2019-09-28T23:14:00.000000000&#x27;,\n",
       "       &#x27;2019-10-08T22:59:00.000000000&#x27;, &#x27;2019-10-18T23:50:00.000000000&#x27;,\n",
       "       &#x27;2019-10-28T23:50:00.000000000&#x27;, &#x27;2019-11-08T00:11:00.000000000&#x27;,\n",
       "       &#x27;2019-11-17T23:55:00.000000000&#x27;, &#x27;2019-11-27T22:28:59.999999744&#x27;,\n",
       "       &#x27;2019-12-08T00:09:59.999999744&#x27;, &#x27;2019-12-17T23:10:00.000000000&#x27;,\n",
       "       &#x27;2019-12-27T23:24:00.000000000&#x27;, &#x27;2020-01-06T23:39:59.999999744&#x27;,\n",
       "       &#x27;2020-01-16T23:52:00.000000000&#x27;, &#x27;2020-01-26T23:39:00.000000000&#x27;,\n",
       "       &#x27;2020-02-05T21:45:00.000000000&#x27;, &#x27;2020-02-15T21:40:59.999999744&#x27;,\n",
       "       &#x27;2020-02-25T23:08:00.000000000&#x27;, &#x27;2020-03-07T00:36:00.000000000&#x27;,\n",
       "       &#x27;2020-03-17T00:14:00.000000000&#x27;, &#x27;2020-03-26T22:30:00.000000000&#x27;,\n",
       "       &#x27;2020-04-05T21:03:00.000000000&#x27;, &#x27;2020-04-15T21:52:00.000000000&#x27;,\n",
       "       &#x27;2020-04-25T22:44:00.000000000&#x27;, &#x27;2020-05-05T23:34:00.000000000&#x27;,\n",
       "       &#x27;2020-05-15T21:30:00.000000256&#x27;, &#x27;2020-05-25T21:34:00.000000000&#x27;,\n",
       "       &#x27;2020-06-04T22:50:00.000000256&#x27;, &#x27;2020-06-14T21:51:00.000000256&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_PARK_START_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-81fb06c3-d5a4-4d27-91cd-b2b0f93c3c2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81fb06c3-d5a4-4d27-91cd-b2b0f93c3c2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17061204-3f80-4fb1-bb76-74b5fc533880' class='xr-var-data-in' type='checkbox'><label for='data-17061204-3f80-4fb1-bb76-74b5fc533880' title='Show/Hide data repr'><svg 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>Status of drift start date of the cycle</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><pre class='xr-var-data'>array([nan, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_PARK_END</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b3386825-7598-4b6b-be28-428aafb1fbe1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3386825-7598-4b6b-be28-428aafb1fbe1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9f15e7e-058d-4607-a143-86089fb6c370' class='xr-var-data-in' type='checkbox'><label for='data-c9f15e7e-058d-4607-a143-86089fb6c370' title='Show/Hide data repr'><svg 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>Drift end date of the cycle</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.0006944444444444445</dd></dl></div><pre class='xr-var-data'>array([                          &#x27;NaT&#x27;, &#x27;2018-10-24T12:35:00.000000000&#x27;,\n",
       "       &#x27;2018-10-26T12:35:00.000000000&#x27;, &#x27;2018-10-28T12:35:00.000000000&#x27;,\n",
       "       &#x27;2018-10-30T12:35:00.000000000&#x27;, &#x27;2018-11-01T12:35:00.000000000&#x27;,\n",
       "       &#x27;2018-11-11T12:35:00.000000000&#x27;, &#x27;2018-11-21T12:35:00.000000000&#x27;,\n",
       "       &#x27;2018-12-01T12:35:00.000000000&#x27;, &#x27;2018-12-11T12:35:00.000000000&#x27;,\n",
       "       &#x27;2018-12-21T12:35:00.000000000&#x27;, &#x27;2018-12-31T12:35:00.000000000&#x27;,\n",
       "       &#x27;2019-01-10T12:34:00.000000000&#x27;, &#x27;2019-01-20T12:34:00.000000000&#x27;,\n",
       "       &#x27;2019-01-30T12:34:00.000000000&#x27;, &#x27;2019-02-09T12:34:00.000000000&#x27;,\n",
       "       &#x27;2019-02-19T12:34:00.000000000&#x27;, &#x27;2019-03-01T12:34:00.000000000&#x27;,\n",
       "       &#x27;2019-03-11T12:34:00.000000000&#x27;, &#x27;2019-03-21T12:34:00.000000000&#x27;,\n",
       "       &#x27;2019-03-31T12:34:00.000000000&#x27;, &#x27;2019-04-10T12:32:59.999999744&#x27;,\n",
       "       &#x27;2019-04-20T12:32:59.999999744&#x27;, &#x27;2019-04-30T12:32:00.000000000&#x27;,\n",
       "       &#x27;2019-05-10T12:32:59.999999744&#x27;, &#x27;2019-05-20T12:32:59.999999744&#x27;,\n",
       "       &#x27;2019-05-30T12:32:59.999999744&#x27;, &#x27;2019-06-09T12:32:59.999999744&#x27;,\n",
       "       &#x27;2019-06-19T12:32:59.999999744&#x27;, &#x27;2019-06-29T12:32:59.999999744&#x27;,\n",
       "       &#x27;2019-07-09T12:32:59.999999744&#x27;, &#x27;2019-07-19T12:32:59.999999744&#x27;,\n",
       "       &#x27;2019-07-29T12:32:59.999999744&#x27;, &#x27;2019-08-08T12:32:00.000000000&#x27;,\n",
       "       &#x27;2019-08-18T12:32:00.000000000&#x27;, &#x27;2019-08-28T12:32:00.000000000&#x27;,\n",
       "       &#x27;2019-09-07T12:32:00.000000000&#x27;, &#x27;2019-09-17T12:32:00.000000000&#x27;,\n",
       "       &#x27;2019-09-27T12:32:00.000000000&#x27;, &#x27;2019-10-07T12:32:00.000000000&#x27;,\n",
       "       &#x27;2019-10-17T12:32:00.000000000&#x27;, &#x27;2019-10-27T12:30:59.999999744&#x27;,\n",
       "       &#x27;2019-11-06T12:30:59.999999744&#x27;, &#x27;2019-11-16T12:30:59.999999744&#x27;,\n",
       "       &#x27;2019-11-26T12:30:59.999999744&#x27;, &#x27;2019-12-06T12:30:59.999999744&#x27;,\n",
       "       &#x27;2019-12-16T12:30:59.999999744&#x27;, &#x27;2019-12-26T12:30:59.999999744&#x27;,\n",
       "       &#x27;2020-01-05T12:30:59.999999744&#x27;, &#x27;2020-01-15T12:30:59.999999744&#x27;,\n",
       "       &#x27;2020-01-25T12:30:59.999999744&#x27;, &#x27;2020-02-04T12:30:59.999999744&#x27;,\n",
       "       &#x27;2020-02-14T12:30:00.000000000&#x27;, &#x27;2020-02-24T12:30:00.000000000&#x27;,\n",
       "       &#x27;2020-03-05T12:30:00.000000000&#x27;, &#x27;2020-03-15T12:30:00.000000000&#x27;,\n",
       "       &#x27;2020-03-25T12:30:00.000000000&#x27;, &#x27;2020-04-04T12:30:00.000000000&#x27;,\n",
       "       &#x27;2020-04-14T12:30:00.000000000&#x27;, &#x27;2020-04-24T12:30:00.000000000&#x27;,\n",
       "       &#x27;2020-05-04T12:30:00.000000000&#x27;, &#x27;2020-05-14T12:30:00.000000000&#x27;,\n",
       "       &#x27;2020-05-24T12:29:00.000000000&#x27;, &#x27;2020-06-03T12:29:00.000000000&#x27;,\n",
       "       &#x27;2020-06-13T12:29:00.000000000&#x27;, &#x27;2020-06-23T12:29:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_PARK_END_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bd7d704f-36f1-4661-81b8-d6950d8d1fbb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd7d704f-36f1-4661-81b8-d6950d8d1fbb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f31f5e03-3d96-4ce7-9f06-1e572dcee5cd' class='xr-var-data-in' type='checkbox'><label for='data-f31f5e03-3d96-4ce7-9f06-1e572dcee5cd' title='Show/Hide data repr'><svg 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>Status of drift end date of the cycle</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><pre class='xr-var-data'>array([nan, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_DEEP_DESCENT_END</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-31543bcf-3027-4128-94d9-dea0b42a3b64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31543bcf-3027-4128-94d9-dea0b42a3b64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3bbb4f20-27b8-464a-bcf7-91c3e8dc5e4b' class='xr-var-data-in' type='checkbox'><label for='data-3bbb4f20-27b8-464a-bcf7-91c3e8dc5e4b' title='Show/Hide data repr'><svg 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>Deep descent end date of the cycle</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.004166666666666667</dd></dl></div><pre class='xr-var-data'>array([&#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_DEEP_DESCENT_END_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e3c60209-7e91-4d40-b76c-d3997c09b1fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3c60209-7e91-4d40-b76c-d3997c09b1fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e65c81c-1358-4eea-9eae-4b9b83cb1564' class='xr-var-data-in' type='checkbox'><label for='data-2e65c81c-1358-4eea-9eae-4b9b83cb1564' title='Show/Hide data repr'><svg 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>Status of deep descent end date of the cycle</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_DEEP_PARK_START</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1b766f52-702c-4381-b9db-239d681bc519' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b766f52-702c-4381-b9db-239d681bc519' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eaa18f61-c224-44ac-9fdc-c9b0bc66daa6' class='xr-var-data-in' type='checkbox'><label for='data-eaa18f61-c224-44ac-9fdc-c9b0bc66daa6' title='Show/Hide data repr'><svg 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>Deep park start date of the cycle</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.004166666666666667</dd></dl></div><pre class='xr-var-data'>array([                          &#x27;NaT&#x27;, &#x27;2018-10-24T23:10:00.000000000&#x27;,\n",
       "       &#x27;2018-10-26T21:28:00.000000256&#x27;, &#x27;2018-10-28T23:16:00.000000000&#x27;,\n",
       "       &#x27;2018-10-30T21:46:00.000000000&#x27;, &#x27;2018-11-01T22:46:00.000000000&#x27;,\n",
       "       &#x27;2018-11-11T23:39:59.999999744&#x27;, &#x27;2018-11-21T22:22:00.000000000&#x27;,\n",
       "       &#x27;2018-12-01T23:39:59.999999744&#x27;, &#x27;2018-12-11T22:16:00.000000000&#x27;,\n",
       "       &#x27;2018-12-21T22:09:59.999999744&#x27;, &#x27;2018-12-31T21:52:00.000000000&#x27;,\n",
       "       &#x27;2019-01-10T23:03:00.000000256&#x27;, &#x27;2019-01-20T22:51:00.000000000&#x27;,\n",
       "       &#x27;2019-01-30T23:27:00.000000256&#x27;, &#x27;2019-02-09T23:39:00.000000000&#x27;,\n",
       "       &#x27;2019-02-19T23:39:00.000000000&#x27;, &#x27;2019-03-01T23:09:00.000000000&#x27;,\n",
       "       &#x27;2019-03-11T22:51:00.000000000&#x27;, &#x27;2019-03-21T22:09:00.000000000&#x27;,\n",
       "       &#x27;2019-03-31T22:21:00.000000000&#x27;, &#x27;2019-04-10T20:26:00.000000000&#x27;,\n",
       "       &#x27;2019-04-20T17:13:59.999999744&#x27;, &#x27;2019-04-30T21:14:00.000000000&#x27;,\n",
       "       &#x27;2019-05-10T22:14:00.000000000&#x27;, &#x27;2019-05-20T22:25:59.999999744&#x27;,\n",
       "       &#x27;2019-05-30T21:26:00.000000000&#x27;, &#x27;2019-06-09T22:44:00.000000000&#x27;,\n",
       "       &#x27;2019-06-19T21:32:00.000000000&#x27;, &#x27;2019-06-29T22:20:00.000000000&#x27;,\n",
       "       &#x27;2019-07-09T21:19:59.999999744&#x27;, &#x27;2019-07-19T23:13:59.999999744&#x27;,\n",
       "       &#x27;2019-07-29T22:38:00.000000000&#x27;, &#x27;2019-08-08T23:37:00.000000000&#x27;,\n",
       "       &#x27;2019-08-18T23:37:00.000000000&#x27;, &#x27;2019-08-28T22:43:00.000000000&#x27;,\n",
       "       &#x27;2019-09-07T22:07:00.000000000&#x27;, &#x27;2019-09-17T22:49:00.000000000&#x27;,\n",
       "       &#x27;2019-09-27T21:55:00.000000000&#x27;, &#x27;2019-10-07T22:07:00.000000000&#x27;,\n",
       "       &#x27;2019-10-17T21:19:00.000000000&#x27;, &#x27;2019-10-27T21:48:00.000000000&#x27;,\n",
       "       &#x27;2019-11-06T21:48:00.000000000&#x27;, &#x27;2019-11-16T21:48:00.000000000&#x27;,\n",
       "       &#x27;2019-11-26T21:48:00.000000000&#x27;, &#x27;2019-12-06T21:30:00.000000000&#x27;,\n",
       "       &#x27;2019-12-16T23:24:00.000000000&#x27;, &#x27;2019-12-26T22:17:59.999999744&#x27;,\n",
       "       &#x27;2020-01-05T21:30:00.000000000&#x27;, &#x27;2020-01-15T21:17:59.999999744&#x27;,\n",
       "       &#x27;2020-01-25T21:54:00.000000000&#x27;, &#x27;2020-02-04T23:35:59.999999744&#x27;,\n",
       "       &#x27;2020-02-14T21:47:00.000000000&#x27;, &#x27;2020-02-24T22:17:00.000000000&#x27;,\n",
       "       &#x27;2020-03-05T22:04:59.999999744&#x27;, &#x27;2020-03-15T21:53:00.000000000&#x27;,\n",
       "       &#x27;2020-03-25T23:34:59.999999744&#x27;, &#x27;2020-04-04T21:29:00.000000000&#x27;,\n",
       "       &#x27;2020-04-14T21:47:00.000000000&#x27;, &#x27;2020-04-24T21:40:59.999999744&#x27;,\n",
       "       &#x27;2020-05-04T20:47:00.000000000&#x27;, &#x27;2020-05-14T22:04:59.999999744&#x27;,\n",
       "       &#x27;2020-05-24T21:46:00.000000256&#x27;, &#x27;2020-06-03T23:16:00.000000256&#x27;,\n",
       "       &#x27;2020-06-13T22:16:00.000000000&#x27;, &#x27;2020-06-23T20:52:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_DEEP_PARK_START_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8fbae690-5315-424f-8e70-d0e4759402ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8fbae690-5315-424f-8e70-d0e4759402ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71f22723-3711-4c1c-aa4c-111d28555de5' class='xr-var-data-in' type='checkbox'><label for='data-71f22723-3711-4c1c-aa4c-111d28555de5' title='Show/Hide data repr'><svg 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>Status of deep park start date of the cycle</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><pre class='xr-var-data'>array([nan, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_ASCENT_START</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f72f9c0d-d283-46ab-9001-02d51d72467a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f72f9c0d-d283-46ab-9001-02d51d72467a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ca10519-600a-4c20-aa55-80dd1dd34acd' class='xr-var-data-in' type='checkbox'><label for='data-7ca10519-600a-4c20-aa55-80dd1dd34acd' title='Show/Hide data repr'><svg 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>Start date of the ascent to the surface</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.0006944444444444445</dd></dl></div><pre class='xr-var-data'>array([                          &#x27;NaT&#x27;, &#x27;2018-10-24T23:37:00.000000000&#x27;,\n",
       "       &#x27;2018-10-26T23:41:00.000000000&#x27;, &#x27;2018-10-28T23:36:00.000000000&#x27;,\n",
       "       &#x27;2018-10-30T23:45:00.000000000&#x27;, &#x27;2018-11-01T23:45:00.000000000&#x27;,\n",
       "       &#x27;2018-11-11T23:45:00.000000000&#x27;, &#x27;2018-11-21T23:43:00.000000256&#x27;,\n",
       "       &#x27;2018-12-01T23:56:00.000000256&#x27;, &#x27;2018-12-11T23:45:00.000000000&#x27;,\n",
       "       &#x27;2018-12-21T23:42:00.000000000&#x27;, &#x27;2018-12-31T23:39:00.000000000&#x27;,\n",
       "       &#x27;2019-01-10T23:42:00.000000256&#x27;, &#x27;2019-01-20T23:35:00.000000256&#x27;,\n",
       "       &#x27;2019-01-30T23:40:00.000000256&#x27;, &#x27;2019-02-09T23:44:00.000000000&#x27;,\n",
       "       &#x27;2019-02-19T23:44:00.000000000&#x27;, &#x27;2019-03-01T23:41:00.000000000&#x27;,\n",
       "       &#x27;2019-03-11T23:34:00.000000256&#x27;, &#x27;2019-03-21T23:45:00.000000256&#x27;,\n",
       "       &#x27;2019-03-31T23:39:00.000000000&#x27;, &#x27;2019-04-11T00:24:00.000000000&#x27;,\n",
       "       &#x27;2019-04-21T00:53:00.000000000&#x27;, &#x27;2019-04-30T23:58:00.000000000&#x27;,\n",
       "       &#x27;2019-05-10T23:42:59.999999744&#x27;, &#x27;2019-05-20T23:33:00.000000000&#x27;,\n",
       "       &#x27;2019-05-30T23:42:00.000000000&#x27;, &#x27;2019-06-09T23:41:00.000000000&#x27;,\n",
       "       &#x27;2019-06-19T23:55:00.000000000&#x27;, &#x27;2019-06-29T23:41:00.000000000&#x27;,\n",
       "       &#x27;2019-07-09T23:49:00.000000000&#x27;, &#x27;2019-07-19T23:37:59.999999744&#x27;,\n",
       "       &#x27;2019-07-29T23:41:00.000000000&#x27;, &#x27;2019-08-08T23:39:00.000000000&#x27;,\n",
       "       &#x27;2019-08-18T23:42:00.000000000&#x27;, &#x27;2019-08-28T23:32:00.000000256&#x27;,\n",
       "       &#x27;2019-09-07T23:39:00.000000000&#x27;, &#x27;2019-09-17T23:34:00.000000000&#x27;,\n",
       "       &#x27;2019-09-27T23:43:00.000000256&#x27;, &#x27;2019-10-07T23:43:00.000000256&#x27;,\n",
       "       &#x27;2019-10-17T23:40:00.000000256&#x27;, &#x27;2019-10-27T23:37:59.999999744&#x27;,\n",
       "       &#x27;2019-11-06T23:39:59.999999744&#x27;, &#x27;2019-11-16T23:37:59.999999744&#x27;,\n",
       "       &#x27;2019-11-26T23:37:59.999999744&#x27;, &#x27;2019-12-06T23:35:59.999999744&#x27;,\n",
       "       &#x27;2019-12-16T23:34:00.000000000&#x27;, &#x27;2019-12-26T23:37:59.999999744&#x27;,\n",
       "       &#x27;2020-01-05T23:39:59.999999744&#x27;, &#x27;2020-01-15T23:40:59.999999744&#x27;,\n",
       "       &#x27;2020-01-25T23:39:59.999999744&#x27;, &#x27;2020-02-04T23:37:59.999999744&#x27;,\n",
       "       &#x27;2020-02-14T23:38:00.000000000&#x27;, &#x27;2020-02-24T23:29:00.000000000&#x27;,\n",
       "       &#x27;2020-03-05T23:36:00.000000000&#x27;, &#x27;2020-03-15T23:39:59.999999744&#x27;,\n",
       "       &#x27;2020-03-25T23:39:59.999999744&#x27;, &#x27;2020-04-04T23:38:00.000000000&#x27;,\n",
       "       &#x27;2020-04-14T23:41:00.000000000&#x27;, &#x27;2020-04-24T23:38:00.000000000&#x27;,\n",
       "       &#x27;2020-05-04T23:44:00.000000000&#x27;, &#x27;2020-05-14T23:39:00.000000000&#x27;,\n",
       "       &#x27;2020-05-24T23:31:00.000000000&#x27;, &#x27;2020-06-03T23:36:00.000000000&#x27;,\n",
       "       &#x27;2020-06-13T23:30:00.000000000&#x27;, &#x27;2020-06-23T23:33:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_ASCENT_START_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b72f8e24-2d33-496e-b696-355cc8de23de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b72f8e24-2d33-496e-b696-355cc8de23de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf3b56f3-9bd1-4fe1-8c78-50520dd1f69d' class='xr-var-data-in' type='checkbox'><label for='data-bf3b56f3-9bd1-4fe1-8c78-50520dd1f69d' title='Show/Hide data repr'><svg 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>Status of start date of the ascent to the surface</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><pre class='xr-var-data'>array([nan, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_DEEP_ASCENT_START</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fb4737c4-9942-40bf-9ffc-eeae72ed86a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb4737c4-9942-40bf-9ffc-eeae72ed86a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0790658e-7524-400e-8ade-67ec64197355' class='xr-var-data-in' type='checkbox'><label for='data-0790658e-7524-400e-8ade-67ec64197355' title='Show/Hide data repr'><svg 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>Deep ascent start date of the cycle</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.0006944444444444445</dd></dl></div><pre class='xr-var-data'>array([&#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_DEEP_ASCENT_START_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b0a08778-445e-47d9-a193-bf2b19c2c7f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0a08778-445e-47d9-a193-bf2b19c2c7f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63af8101-bb8a-4437-bc8a-2143a24b6977' class='xr-var-data-in' type='checkbox'><label for='data-63af8101-bb8a-4437-bc8a-2143a24b6977' title='Show/Hide data repr'><svg 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>Status of deep ascent start date of the cycle</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_ASCENT_END</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-28ab6b50-1262-4271-9cc2-1e48b928d188' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28ab6b50-1262-4271-9cc2-1e48b928d188' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-345bc19f-1933-403a-8c77-021a4d8ca9f8' class='xr-var-data-in' type='checkbox'><label for='data-345bc19f-1933-403a-8c77-021a4d8ca9f8' title='Show/Hide data repr'><svg 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>End date of ascent to the surface</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.0006944444444444445</dd></dl></div><pre class='xr-var-data'>array([                          &#x27;NaT&#x27;, &#x27;2018-10-25T05:30:00.000000000&#x27;,\n",
       "       &#x27;2018-10-27T05:30:00.000000000&#x27;, &#x27;2018-10-29T05:24:00.000000256&#x27;,\n",
       "       &#x27;2018-10-31T05:28:00.000000000&#x27;, &#x27;2018-11-02T05:32:00.000000256&#x27;,\n",
       "       &#x27;2018-11-12T05:34:00.000000000&#x27;, &#x27;2018-11-22T05:26:00.000000000&#x27;,\n",
       "       &#x27;2018-12-02T05:37:00.000000256&#x27;, &#x27;2018-12-12T05:35:00.000000256&#x27;,\n",
       "       &#x27;2018-12-22T05:33:00.000000000&#x27;, &#x27;2019-01-01T05:26:00.000000000&#x27;,\n",
       "       &#x27;2019-01-11T05:29:00.000000256&#x27;, &#x27;2019-01-21T05:29:00.000000256&#x27;,\n",
       "       &#x27;2019-01-31T05:35:00.000000256&#x27;, &#x27;2019-02-10T05:29:00.000000256&#x27;,\n",
       "       &#x27;2019-02-20T05:43:00.000000256&#x27;, &#x27;2019-03-02T05:36:00.000000256&#x27;,\n",
       "       &#x27;2019-03-12T05:37:00.000000256&#x27;, &#x27;2019-03-22T05:33:00.000000000&#x27;,\n",
       "       &#x27;2019-04-01T05:26:00.000000256&#x27;, &#x27;2019-04-11T05:33:00.000000000&#x27;,\n",
       "       &#x27;2019-04-21T05:42:00.000000000&#x27;, &#x27;2019-05-01T05:36:00.000000000&#x27;,\n",
       "       &#x27;2019-05-11T05:31:59.999999744&#x27;, &#x27;2019-05-21T05:34:00.000000000&#x27;,\n",
       "       &#x27;2019-05-31T05:41:00.000000000&#x27;, &#x27;2019-06-10T05:27:00.000000256&#x27;,\n",
       "       &#x27;2019-06-20T05:39:00.000000000&#x27;, &#x27;2019-06-30T05:42:00.000000000&#x27;,\n",
       "       &#x27;2019-07-10T05:40:00.000000256&#x27;, &#x27;2019-07-20T05:35:00.000000256&#x27;,\n",
       "       &#x27;2019-07-30T05:35:00.000000256&#x27;, &#x27;2019-08-09T05:37:00.000000256&#x27;,\n",
       "       &#x27;2019-08-19T05:47:00.000000256&#x27;, &#x27;2019-08-29T05:25:00.000000000&#x27;,\n",
       "       &#x27;2019-09-08T05:24:00.000000256&#x27;, &#x27;2019-09-18T05:29:00.000000256&#x27;,\n",
       "       &#x27;2019-09-28T05:26:00.000000256&#x27;, &#x27;2019-10-08T05:25:00.000000000&#x27;,\n",
       "       &#x27;2019-10-18T05:30:00.000000000&#x27;, &#x27;2019-10-28T05:15:00.000000000&#x27;,\n",
       "       &#x27;2019-11-07T05:33:00.000000000&#x27;, &#x27;2019-11-17T05:29:00.000000000&#x27;,\n",
       "       &#x27;2019-11-27T05:16:00.000000000&#x27;, &#x27;2019-12-07T05:33:00.000000000&#x27;,\n",
       "       &#x27;2019-12-17T05:24:00.000000000&#x27;, &#x27;2019-12-27T05:31:00.000000000&#x27;,\n",
       "       &#x27;2020-01-06T05:21:00.000000000&#x27;, &#x27;2020-01-16T05:38:00.000000000&#x27;,\n",
       "       &#x27;2020-01-26T05:25:00.000000000&#x27;, &#x27;2020-02-05T05:34:59.999999744&#x27;,\n",
       "       &#x27;2020-02-15T05:29:00.000000000&#x27;, &#x27;2020-02-25T05:18:00.000000000&#x27;,\n",
       "       &#x27;2020-03-06T05:27:00.000000256&#x27;, &#x27;2020-03-16T05:22:00.000000000&#x27;,\n",
       "       &#x27;2020-03-26T05:29:00.000000000&#x27;, &#x27;2020-04-05T05:09:00.000000000&#x27;,\n",
       "       &#x27;2020-04-15T05:18:00.000000000&#x27;, &#x27;2020-04-25T05:37:00.000000256&#x27;,\n",
       "       &#x27;2020-05-05T05:31:00.000000000&#x27;, &#x27;2020-05-15T05:22:00.000000000&#x27;,\n",
       "       &#x27;2020-05-25T05:29:00.000000256&#x27;, &#x27;2020-06-04T05:21:00.000000256&#x27;,\n",
       "       &#x27;2020-06-14T05:17:00.000000000&#x27;, &#x27;2020-06-24T05:20:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_ASCENT_END_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-946f4e63-3627-4b7a-9254-f1b61b5116ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-946f4e63-3627-4b7a-9254-f1b61b5116ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12ea11f4-5b1c-46bc-b4c5-532787e77a96' class='xr-var-data-in' type='checkbox'><label for='data-12ea11f4-5b1c-46bc-b4c5-532787e77a96' title='Show/Hide data repr'><svg 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>Status of end date of ascent to the surface</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><pre class='xr-var-data'>array([nan, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_TRANSMISSION_START</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-51fce18f-ba61-48bc-a4e9-9c5bf2a9f95e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51fce18f-ba61-48bc-a4e9-9c5bf2a9f95e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee10b9c6-95b7-424c-851f-00a93590518f' class='xr-var-data-in' type='checkbox'><label for='data-ee10b9c6-95b7-424c-851f-00a93590518f' title='Show/Hide data repr'><svg 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>Start date of transmission</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.0006944444444444445</dd></dl></div><pre class='xr-var-data'>array([                          &#x27;NaT&#x27;, &#x27;2018-10-25T05:44:00.000000000&#x27;,\n",
       "       &#x27;2018-10-27T05:44:00.000000000&#x27;, &#x27;2018-10-29T05:38:00.000000000&#x27;,\n",
       "       &#x27;2018-10-31T05:42:00.000000000&#x27;, &#x27;2018-11-02T05:46:00.000000000&#x27;,\n",
       "       &#x27;2018-11-12T05:47:59.999999744&#x27;, &#x27;2018-11-22T05:39:59.999999744&#x27;,\n",
       "       &#x27;2018-12-02T05:51:00.000000000&#x27;, &#x27;2018-12-12T05:49:00.000000000&#x27;,\n",
       "       &#x27;2018-12-22T05:47:00.000000000&#x27;, &#x27;2019-01-01T05:39:59.999999744&#x27;,\n",
       "       &#x27;2019-01-11T05:43:00.000000256&#x27;, &#x27;2019-01-21T05:43:00.000000256&#x27;,\n",
       "       &#x27;2019-01-31T05:49:00.000000000&#x27;, &#x27;2019-02-10T05:43:00.000000256&#x27;,\n",
       "       &#x27;2019-02-20T05:57:00.000000000&#x27;, &#x27;2019-03-02T05:50:00.000000256&#x27;,\n",
       "       &#x27;2019-03-12T05:51:00.000000000&#x27;, &#x27;2019-03-22T05:47:00.000000000&#x27;,\n",
       "       &#x27;2019-04-01T05:40:00.000000256&#x27;, &#x27;2019-04-11T05:47:00.000000000&#x27;,\n",
       "       &#x27;2019-04-21T05:55:59.999999744&#x27;, &#x27;2019-05-01T05:50:00.000000000&#x27;,\n",
       "       &#x27;2019-05-11T05:45:59.999999744&#x27;, &#x27;2019-05-21T05:47:59.999999744&#x27;,\n",
       "       &#x27;2019-05-31T05:55:00.000000000&#x27;, &#x27;2019-06-10T05:41:00.000000000&#x27;,\n",
       "       &#x27;2019-06-20T05:53:00.000000000&#x27;, &#x27;2019-06-30T05:55:59.999999744&#x27;,\n",
       "       &#x27;2019-07-10T05:54:00.000000000&#x27;, &#x27;2019-07-20T05:49:00.000000000&#x27;,\n",
       "       &#x27;2019-07-30T05:49:00.000000000&#x27;, &#x27;2019-08-09T05:51:00.000000000&#x27;,\n",
       "       &#x27;2019-08-19T06:01:00.000000256&#x27;, &#x27;2019-08-29T05:39:00.000000000&#x27;,\n",
       "       &#x27;2019-09-08T05:38:00.000000000&#x27;, &#x27;2019-09-18T05:43:00.000000256&#x27;,\n",
       "       &#x27;2019-09-28T05:40:00.000000256&#x27;, &#x27;2019-10-08T05:39:00.000000000&#x27;,\n",
       "       &#x27;2019-10-18T05:44:00.000000000&#x27;, &#x27;2019-10-28T05:29:00.000000000&#x27;,\n",
       "       &#x27;2019-11-07T05:47:00.000000000&#x27;, &#x27;2019-11-17T05:42:59.999999744&#x27;,\n",
       "       &#x27;2019-11-27T05:29:59.999999744&#x27;, &#x27;2019-12-07T05:47:00.000000000&#x27;,\n",
       "       &#x27;2019-12-17T05:37:59.999999744&#x27;, &#x27;2019-12-27T05:45:00.000000000&#x27;,\n",
       "       &#x27;2020-01-06T05:34:59.999999744&#x27;, &#x27;2020-01-16T05:52:00.000000000&#x27;,\n",
       "       &#x27;2020-01-26T05:39:00.000000000&#x27;, &#x27;2020-02-05T05:48:59.999999744&#x27;,\n",
       "       &#x27;2020-02-15T05:42:59.999999744&#x27;, &#x27;2020-02-25T05:31:59.999999744&#x27;,\n",
       "       &#x27;2020-03-06T05:41:00.000000000&#x27;, &#x27;2020-03-16T05:36:00.000000000&#x27;,\n",
       "       &#x27;2020-03-26T05:42:59.999999744&#x27;, &#x27;2020-04-05T05:23:00.000000000&#x27;,\n",
       "       &#x27;2020-04-15T05:31:59.999999744&#x27;, &#x27;2020-04-25T05:51:00.000000000&#x27;,\n",
       "       &#x27;2020-05-05T05:45:00.000000000&#x27;, &#x27;2020-05-15T05:36:00.000000000&#x27;,\n",
       "       &#x27;2020-05-25T05:43:00.000000256&#x27;, &#x27;2020-06-04T05:35:00.000000256&#x27;,\n",
       "       &#x27;2020-06-14T05:31:00.000000000&#x27;, &#x27;2020-06-24T05:34:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_TRANSMISSION_START_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-66b8fa33-e7cb-4366-a7c3-691482cc6a3a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66b8fa33-e7cb-4366-a7c3-691482cc6a3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66185b13-9543-4806-8cc3-e4823fed1505' class='xr-var-data-in' type='checkbox'><label for='data-66185b13-9543-4806-8cc3-e4823fed1505' title='Show/Hide data repr'><svg 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>Status of start date of transmission</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><pre class='xr-var-data'>array([nan, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_FIRST_MESSAGE</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-74bd5c7b-b112-4639-afbe-80941841a01f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74bd5c7b-b112-4639-afbe-80941841a01f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5bebcacd-1003-4eb5-9706-5a23f8e730d7' class='xr-var-data-in' type='checkbox'><label for='data-5bebcacd-1003-4eb5-9706-5a23f8e730d7' title='Show/Hide data repr'><svg 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>Date of earliest float message received</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>1.1574074074074073e-05</dd></dl></div><pre class='xr-var-data'>array([&#x27;2018-10-23T17:32:27.000004096&#x27;, &#x27;2018-10-25T05:44:56.999999488&#x27;,\n",
       "       &#x27;2018-10-27T05:48:50.000003072&#x27;, &#x27;2018-10-29T06:00:27.000004352&#x27;,\n",
       "       &#x27;2018-10-31T06:12:23.000003328&#x27;, &#x27;2018-11-02T05:49:55.999997184&#x27;,\n",
       "       &#x27;2018-11-12T05:48:11.999997952&#x27;, &#x27;2018-11-22T05:40:09.999997184&#x27;,\n",
       "       &#x27;2018-12-02T06:42:57.000003328&#x27;, &#x27;2018-12-12T06:27:50.999998976&#x27;,\n",
       "       &#x27;2018-12-22T06:13:50.999998720&#x27;, &#x27;2019-01-01T05:58:32.999999232&#x27;,\n",
       "       &#x27;2019-01-11T05:43:50.999995392&#x27;, &#x27;2019-01-21T06:04:21.000002560&#x27;,\n",
       "       &#x27;2019-01-31T05:51:43.000000000&#x27;, &#x27;2019-02-10T05:43:40.000004864&#x27;,\n",
       "       &#x27;2019-02-20T06:20:25.999998720&#x27;, &#x27;2019-03-02T06:03:33.999995904&#x27;,\n",
       "       &#x27;2019-03-12T05:51:20.999998720&#x27;, &#x27;2019-03-22T06:30:28.999996928&#x27;,\n",
       "       &#x27;2019-04-01T06:18:08.000002816&#x27;, &#x27;2019-04-11T06:06:49.000004352&#x27;,\n",
       "       &#x27;2019-04-21T05:56:54.999997696&#x27;, &#x27;2019-05-01T05:52:09.000000000&#x27;,\n",
       "       &#x27;2019-05-11T05:55:38.000002816&#x27;, &#x27;2019-05-21T05:50:04.000004096&#x27;,\n",
       "       &#x27;2019-05-31T06:28:40.000004864&#x27;, &#x27;2019-06-10T06:35:21.000002304&#x27;,\n",
       "       &#x27;2019-06-20T06:21:15.000004352&#x27;, &#x27;2019-06-30T06:10:28.999997952&#x27;,\n",
       "       &#x27;2019-07-10T06:00:29.999998208&#x27;, &#x27;2019-07-20T05:49:03.999997440&#x27;,\n",
       "       &#x27;2019-07-30T06:22:59.999998208&#x27;, &#x27;2019-08-09T06:52:25.999994880&#x27;,\n",
       "       &#x27;2019-08-19T06:21:13.999999744&#x27;, &#x27;2019-08-29T06:20:18.000001792&#x27;,\n",
       "       &#x27;2019-09-08T06:05:43.000000256&#x27;, &#x27;2019-09-18T05:48:37.000003072&#x27;,\n",
       "       &#x27;2019-09-28T05:40:13.999995648&#x27;, &#x27;2019-10-08T05:52:40.000002816&#x27;,\n",
       "       &#x27;2019-10-18T05:45:00.000003328&#x27;, &#x27;2019-10-28T05:30:43.999999488&#x27;,\n",
       "       &#x27;2019-11-07T06:08:11.999996928&#x27;, &#x27;2019-11-17T05:53:52.999998976&#x27;,\n",
       "       &#x27;2019-11-27T05:36:52.000004864&#x27;, &#x27;2019-12-07T06:20:05.000002048&#x27;,\n",
       "       &#x27;2019-12-17T06:08:26.999995904&#x27;, &#x27;2019-12-27T05:56:11.999999488&#x27;,\n",
       "       &#x27;2020-01-06T05:45:22.000004608&#x27;, &#x27;2020-01-16T05:56:06.000001792&#x27;,\n",
       "       &#x27;2020-01-26T05:40:31.000003840&#x27;, &#x27;2020-02-05T06:46:40.999995392&#x27;,\n",
       "       &#x27;2020-02-15T06:37:18.999995904&#x27;, &#x27;2020-02-25T06:24:39.000004352&#x27;,\n",
       "       &#x27;2020-03-06T06:13:56.000001792&#x27;, &#x27;2020-03-16T06:01:19.999998464&#x27;,\n",
       "       &#x27;2020-03-26T05:44:16.999995136&#x27;, &#x27;2020-04-05T05:29:09.999996160&#x27;,\n",
       "       &#x27;2020-04-15T05:32:33.000001536&#x27;, &#x27;2020-04-25T06:35:21.000002304&#x27;,\n",
       "       &#x27;2020-05-05T06:19:00.000002560&#x27;, &#x27;2020-05-15T06:05:22.000003584&#x27;,\n",
       "       &#x27;2020-05-25T05:47:34.999997440&#x27;, &#x27;2020-06-04T05:36:38.999994880&#x27;,\n",
       "       &#x27;2020-06-14T05:52:07.000000768&#x27;, &#x27;2020-06-24T05:41:10.000003584&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_FIRST_MESSAGE_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0c8440bb-09ed-47ba-a5f8-bf3289f3d09d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c8440bb-09ed-47ba-a5f8-bf3289f3d09d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8ec8b4f-10e8-4337-b59f-a0008f0d2de5' class='xr-var-data-in' type='checkbox'><label for='data-e8ec8b4f-10e8-4337-b59f-a0008f0d2de5' title='Show/Hide data repr'><svg 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>Status of date of earliest float message received</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><pre class='xr-var-data'>array([b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_FIRST_LOCATION</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5f4683c0-bccc-48d9-a23f-8106e78d94d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f4683c0-bccc-48d9-a23f-8106e78d94d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20073e97-a3e7-4f7f-9081-e20892ea95d0' class='xr-var-data-in' type='checkbox'><label for='data-20073e97-a3e7-4f7f-9081-e20892ea95d0' title='Show/Hide data repr'><svg 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>Date of earliest location</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>1.1574074074074073e-05</dd></dl></div><pre class='xr-var-data'>array([&#x27;2018-10-23T17:32:27.000004096&#x27;, &#x27;2018-10-25T05:45:54.000002048&#x27;,\n",
       "       &#x27;2018-10-27T05:54:48.999997184&#x27;, &#x27;2018-10-29T06:26:42.999995648&#x27;,\n",
       "       &#x27;2018-10-31T06:12:45.999999232&#x27;, &#x27;2018-11-02T05:50:15.999999232&#x27;,\n",
       "       &#x27;2018-11-12T05:55:29.000001280&#x27;, &#x27;2018-11-22T05:44:34.000003584&#x27;,\n",
       "       &#x27;2018-12-02T06:44:58.000000768&#x27;, &#x27;2018-12-12T06:29:30.999999744&#x27;,\n",
       "       &#x27;2018-12-22T06:13:50.999998720&#x27;, &#x27;2019-01-01T06:00:07.999996928&#x27;,\n",
       "       &#x27;2019-01-11T05:45:32.999995392&#x27;, &#x27;2019-01-21T06:04:21.000002560&#x27;,\n",
       "       &#x27;2019-01-31T05:58:34.000003840&#x27;, &#x27;2019-02-10T05:51:17.000000256&#x27;,\n",
       "       &#x27;2019-02-20T06:21:19.999997440&#x27;, &#x27;2019-03-02T06:03:51.999998976&#x27;,\n",
       "       &#x27;2019-03-12T05:51:39.999996160&#x27;, &#x27;2019-03-22T07:15:28.000002304&#x27;,\n",
       "       &#x27;2019-04-01T06:19:17.000000768&#x27;, &#x27;2019-04-11T06:07:06.999997440&#x27;,\n",
       "       &#x27;2019-04-21T06:02:13.000002816&#x27;, &#x27;2019-05-01T05:53:28.999998464&#x27;,\n",
       "       &#x27;2019-05-11T06:31:27.000004096&#x27;, &#x27;2019-05-21T06:59:39.000000000&#x27;,\n",
       "       &#x27;2019-05-31T06:28:57.999997696&#x27;, &#x27;2019-06-10T06:50:15.999995904&#x27;,\n",
       "       &#x27;2019-06-20T06:21:54.999998720&#x27;, &#x27;2019-06-30T06:17:01.999998720&#x27;,\n",
       "       &#x27;2019-07-10T06:00:53.000004096&#x27;, &#x27;2019-07-20T05:49:44.000001792&#x27;,\n",
       "       &#x27;2019-07-30T06:25:39.000000768&#x27;, &#x27;2019-08-09T06:54:16.999996416&#x27;,\n",
       "       &#x27;2019-08-19T06:36:54.000000768&#x27;, &#x27;2019-08-29T06:39:57.999998464&#x27;,\n",
       "       &#x27;2019-09-08T06:07:02.000004352&#x27;, &#x27;2019-09-18T05:49:38.000004096&#x27;,\n",
       "       &#x27;2019-09-28T05:43:20.999997184&#x27;, &#x27;2019-10-08T05:58:31.000000000&#x27;,\n",
       "       &#x27;2019-10-18T05:48:56.999995136&#x27;, &#x27;2019-10-28T05:35:10.999999488&#x27;,\n",
       "       &#x27;2019-11-07T06:09:29.000001536&#x27;, &#x27;2019-11-17T05:55:32.999999744&#x27;,\n",
       "       &#x27;2019-11-27T05:40:05.000004096&#x27;, &#x27;2019-12-07T06:26:51.000002560&#x27;,\n",
       "       &#x27;2019-12-17T06:15:19.000004352&#x27;, &#x27;2019-12-27T06:03:07.000001536&#x27;,\n",
       "       &#x27;2020-01-06T05:51:33.000004096&#x27;, &#x27;2020-01-16T05:59:35.000004864&#x27;,\n",
       "       &#x27;2020-01-26T05:42:45.000001280&#x27;, &#x27;2020-02-05T06:48:05.999996928&#x27;,\n",
       "       &#x27;2020-02-15T06:50:26.999996672&#x27;, &#x27;2020-02-25T06:25:35.000002304&#x27;,\n",
       "       &#x27;2020-03-06T06:17:38.999999232&#x27;, &#x27;2020-03-16T06:02:50.000003328&#x27;,\n",
       "       &#x27;2020-03-26T05:44:38.000002048&#x27;, &#x27;2020-04-05T05:29:50.999995136&#x27;,\n",
       "       &#x27;2020-04-15T05:34:50.000002816&#x27;, &#x27;2020-04-25T06:38:25.000000000&#x27;,\n",
       "       &#x27;2020-05-05T06:22:02.999995648&#x27;, &#x27;2020-05-15T06:06:57.999995904&#x27;,\n",
       "       &#x27;2020-05-25T05:48:35.000003840&#x27;, &#x27;2020-06-04T06:11:05.999998464&#x27;,\n",
       "       &#x27;2020-06-14T05:52:29.999996672&#x27;, &#x27;2020-06-24T05:44:17.999999744&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_FIRST_LOCATION_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5023d91e-4949-407f-8c6f-8bfc62757816' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5023d91e-4949-407f-8c6f-8bfc62757816' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7df4b37c-5e7c-471c-ad29-c8b4ffa3045a' class='xr-var-data-in' type='checkbox'><label for='data-7df4b37c-5e7c-471c-ad29-c8b4ffa3045a' title='Show/Hide data repr'><svg 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>Status of date of earliest location</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><pre class='xr-var-data'>array([b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_LAST_LOCATION</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9f8395a9-cd6d-49e8-8fa9-da56527d3836' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f8395a9-cd6d-49e8-8fa9-da56527d3836' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10c208fa-5f09-4c4f-b1e4-099a9d4664b2' class='xr-var-data-in' type='checkbox'><label for='data-10c208fa-5f09-4c4f-b1e4-099a9d4664b2' title='Show/Hide data repr'><svg 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>Date of latest location</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>1.1574074074074073e-05</dd></dl></div><pre class='xr-var-data'>array([&#x27;2018-10-23T19:37:17.999997952&#x27;, &#x27;2018-10-25T12:35:15.000004608&#x27;,\n",
       "       &#x27;2018-10-27T12:30:28.000002304&#x27;, &#x27;2018-10-29T11:49:22.000000512&#x27;,\n",
       "       &#x27;2018-10-31T12:10:45.999996416&#x27;, &#x27;2018-11-02T12:06:14.999997696&#x27;,\n",
       "       &#x27;2018-11-12T11:59:50.000003840&#x27;, &#x27;2018-11-22T11:52:27.999997440&#x27;,\n",
       "       &#x27;2018-12-02T11:44:38.000002048&#x27;, &#x27;2018-12-12T11:37:02.999995648&#x27;,\n",
       "       &#x27;2018-12-22T12:36:11.000002816&#x27;, &#x27;2019-01-01T12:29:08.000003840&#x27;,\n",
       "       &#x27;2019-01-11T12:21:26.999999744&#x27;, &#x27;2019-01-21T12:14:22.999996160&#x27;,\n",
       "       &#x27;2019-01-31T12:07:06.000002816&#x27;, &#x27;2019-02-10T12:32:58.000003584&#x27;,\n",
       "       &#x27;2019-02-20T13:06:26.000005120&#x27;, &#x27;2019-03-02T12:57:12.999997184&#x27;,\n",
       "       &#x27;2019-03-12T12:53:37.999996672&#x27;, &#x27;2019-03-22T12:43:27.000001536&#x27;,\n",
       "       &#x27;2019-04-01T12:36:26.999996416&#x27;, &#x27;2019-04-11T12:27:26.999998464&#x27;,\n",
       "       &#x27;2019-04-21T12:20:33.000001024&#x27;, &#x27;2019-05-01T12:13:28.999997440&#x27;,\n",
       "       &#x27;2019-05-11T12:05:56.000000256&#x27;, &#x27;2019-05-21T11:59:19.999995648&#x27;,\n",
       "       &#x27;2019-05-31T11:52:18.999995904&#x27;, &#x27;2019-06-10T12:20:55.999996928&#x27;,\n",
       "       &#x27;2019-06-20T12:13:32.999995904&#x27;, &#x27;2019-06-30T12:04:30.000004096&#x27;,\n",
       "       &#x27;2019-07-10T12:29:51.000001792&#x27;, &#x27;2019-07-20T13:02:01.000004096&#x27;,\n",
       "       &#x27;2019-07-30T11:43:40.999999232&#x27;, &#x27;2019-08-09T12:45:24.000000512&#x27;,\n",
       "       &#x27;2019-08-19T12:38:12.000000256&#x27;, &#x27;2019-08-29T12:31:18.999997184&#x27;,\n",
       "       &#x27;2019-09-08T12:24:02.000003840&#x27;, &#x27;2019-09-18T12:17:18.000002560&#x27;,\n",
       "       &#x27;2019-09-28T12:09:51.000003072&#x27;, &#x27;2019-10-08T12:37:01.000003072&#x27;,\n",
       "       &#x27;2019-10-18T12:30:15.999996928&#x27;, &#x27;2019-10-28T12:22:22.999997696&#x27;,\n",
       "       &#x27;2019-11-07T12:15:27.999995648&#x27;, &#x27;2019-11-17T12:07:34.000001792&#x27;,\n",
       "       &#x27;2019-11-27T12:00:07.999996928&#x27;, &#x27;2019-12-07T12:24:04.000003072&#x27;,\n",
       "       &#x27;2019-12-17T12:52:41.999998720&#x27;, &#x27;2019-12-27T12:43:29.000000768&#x27;,\n",
       "       &#x27;2020-01-06T12:34:20.999995904&#x27;, &#x27;2020-01-16T12:23:27.000002560&#x27;,\n",
       "       &#x27;2020-01-26T12:39:15.000000512&#x27;, &#x27;2020-02-05T12:18:56.999998720&#x27;,\n",
       "       &#x27;2020-02-15T12:00:14.999999232&#x27;, &#x27;2020-02-25T12:41:19.999996416&#x27;,\n",
       "       &#x27;2020-03-06T12:33:54.999996160&#x27;, &#x27;2020-03-16T12:52:41.999998720&#x27;,\n",
       "       &#x27;2020-03-26T12:32:56.999998720&#x27;, &#x27;2020-04-05T12:16:48.999998976&#x27;,\n",
       "       &#x27;2020-04-15T12:05:09.999998208&#x27;, &#x27;2020-04-25T12:52:36.000001024&#x27;,\n",
       "       &#x27;2020-05-05T12:45:22.999995904&#x27;, &#x27;2020-05-15T12:47:13.999997440&#x27;,\n",
       "       &#x27;2020-05-25T12:31:35.000001024&#x27;, &#x27;2020-06-04T12:23:38.999997952&#x27;,\n",
       "       &#x27;2020-06-14T12:16:30.000001280&#x27;, &#x27;2020-06-24T12:09:08.000004864&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_LAST_LOCATION_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5941daae-8f18-4d3c-b2c1-3444e764e887' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5941daae-8f18-4d3c-b2c1-3444e764e887' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e897cca-eaa4-4ee7-8b25-8496e8a4c692' class='xr-var-data-in' type='checkbox'><label for='data-3e897cca-eaa4-4ee7-8b25-8496e8a4c692' title='Show/Hide data repr'><svg 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>Status of date of latest location</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><pre class='xr-var-data'>array([b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_LAST_MESSAGE</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c8893335-42c1-46f1-b4a5-71c63a135e5b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8893335-42c1-46f1-b4a5-71c63a135e5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e62916e-23dd-486e-8974-c559710bea37' class='xr-var-data-in' type='checkbox'><label for='data-7e62916e-23dd-486e-8974-c559710bea37' title='Show/Hide data repr'><svg 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>Date of latest float message received</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>1.1574074074074073e-05</dd></dl></div><pre class='xr-var-data'>array([&#x27;2018-10-23T19:48:41.999999488&#x27;, &#x27;2018-10-25T12:41:30.999996928&#x27;,\n",
       "       &#x27;2018-10-27T12:37:25.999998208&#x27;, &#x27;2018-10-29T11:59:06.999995904&#x27;,\n",
       "       &#x27;2018-10-31T12:51:07.000001024&#x27;, &#x27;2018-11-02T12:15:12.999996416&#x27;,\n",
       "       &#x27;2018-11-12T12:07:26.999999488&#x27;, &#x27;2018-11-22T12:01:29.000000000&#x27;,\n",
       "       &#x27;2018-12-02T11:53:36.000000768&#x27;, &#x27;2018-12-12T12:43:49.999997440&#x27;,\n",
       "       &#x27;2018-12-22T12:42:50.999995648&#x27;, &#x27;2019-01-01T12:35:49.999995904&#x27;,\n",
       "       &#x27;2019-01-11T12:30:28.999996928&#x27;, &#x27;2019-01-21T12:23:40.000002560&#x27;,\n",
       "       &#x27;2019-01-31T12:44:26.999997952&#x27;, &#x27;2019-02-10T12:38:17.999997696&#x27;,\n",
       "       &#x27;2019-02-20T13:06:26.000005120&#x27;, &#x27;2019-03-02T12:58:54.000002560&#x27;,\n",
       "       &#x27;2019-03-12T12:54:01.999997184&#x27;, &#x27;2019-03-22T12:46:29.000000000&#x27;,\n",
       "       &#x27;2019-04-01T12:41:30.999996928&#x27;, &#x27;2019-04-11T12:34:46.000001024&#x27;,\n",
       "       &#x27;2019-04-21T12:29:32.999998976&#x27;, &#x27;2019-05-01T12:22:48.000003072&#x27;,\n",
       "       &#x27;2019-05-11T12:44:22.000004864&#x27;, &#x27;2019-05-21T12:09:18.000001024&#x27;,\n",
       "       &#x27;2019-05-31T12:34:36.999999488&#x27;, &#x27;2019-06-10T12:27:54.000002816&#x27;,\n",
       "       &#x27;2019-06-20T12:21:54.000004096&#x27;, &#x27;2019-06-30T12:35:15.000004608&#x27;,\n",
       "       &#x27;2019-07-10T12:29:51.000001792&#x27;, &#x27;2019-07-20T13:02:59.999995904&#x27;,\n",
       "       &#x27;2019-07-30T12:56:57.000003584&#x27;, &#x27;2019-08-09T12:51:05.999996416&#x27;,\n",
       "       &#x27;2019-08-19T12:45:09.999996160&#x27;, &#x27;2019-08-29T12:38:19.999996928&#x27;,\n",
       "       &#x27;2019-09-08T12:32:25.000001536&#x27;, &#x27;2019-09-18T12:25:20.000003328&#x27;,\n",
       "       &#x27;2019-09-28T12:47:28.999996416&#x27;, &#x27;2019-10-08T12:40:03.000001536&#x27;,\n",
       "       &#x27;2019-10-18T12:36:59.999998464&#x27;, &#x27;2019-10-28T12:30:43.999996160&#x27;,\n",
       "       &#x27;2019-11-07T12:24:47.000001280&#x27;, &#x27;2019-11-17T12:17:16.000003328&#x27;,\n",
       "       &#x27;2019-11-27T12:30:11.999998720&#x27;, &#x27;2019-12-07T13:04:41.999995904&#x27;,\n",
       "       &#x27;2019-12-17T12:57:45.999999232&#x27;, &#x27;2019-12-27T12:50:07.000004608&#x27;,\n",
       "       &#x27;2020-01-06T12:42:39.000000256&#x27;, &#x27;2020-01-16T12:33:26.000002560&#x27;,\n",
       "       &#x27;2020-01-26T12:41:50.999999232&#x27;, &#x27;2020-02-05T12:55:13.999998976&#x27;,\n",
       "       &#x27;2020-02-15T12:53:54.000000256&#x27;, &#x27;2020-02-25T12:48:38.000004352&#x27;,\n",
       "       &#x27;2020-03-06T12:41:58.000001536&#x27;, &#x27;2020-03-16T12:56:39.999995136&#x27;,\n",
       "       &#x27;2020-03-26T12:41:34.000000768&#x27;, &#x27;2020-04-05T12:25:44.999998464&#x27;,\n",
       "       &#x27;2020-04-15T12:59:50.000000512&#x27;, &#x27;2020-04-25T13:00:38.999996416&#x27;,\n",
       "       &#x27;2020-05-05T13:09:39.999998976&#x27;, &#x27;2020-05-15T12:55:17.999997440&#x27;,\n",
       "       &#x27;2020-05-25T12:39:33.999997952&#x27;, &#x27;2020-06-04T12:33:56.000000768&#x27;,\n",
       "       &#x27;2020-06-14T12:27:30.999996928&#x27;, &#x27;2020-06-24T13:00:23.000002560&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_LAST_MESSAGE_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b33be5fa-37f4-4770-bf4b-140fd666881e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b33be5fa-37f4-4770-bf4b-140fd666881e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e8648ce-7665-4323-b18d-e661fe433dde' class='xr-var-data-in' type='checkbox'><label for='data-8e8648ce-7665-4323-b18d-e661fe433dde' title='Show/Hide data repr'><svg 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>Status of date of latest float message received</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><pre class='xr-var-data'>array([b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_TRANSMISSION_END</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cca5fb4c-d884-4f30-a570-1f7562b7688f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cca5fb4c-d884-4f30-a570-1f7562b7688f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61117d01-23ba-4dc0-abee-e0cb29b0174b' class='xr-var-data-in' type='checkbox'><label for='data-61117d01-23ba-4dc0-abee-e0cb29b0174b' title='Show/Hide data repr'><svg 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>Transmission end date</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.0006944444444444445</dd></dl></div><pre class='xr-var-data'>array([&#x27;2018-10-23T19:49:00.000000000&#x27;, &#x27;2018-10-25T13:15:00.000000000&#x27;,\n",
       "       &#x27;2018-10-27T13:20:00.000000000&#x27;, &#x27;2018-10-29T13:12:00.000000000&#x27;,\n",
       "       &#x27;2018-10-31T13:17:59.999999744&#x27;, &#x27;2018-11-02T13:22:00.000000000&#x27;,\n",
       "       &#x27;2018-11-12T13:16:00.000000000&#x27;, &#x27;2018-11-22T13:08:00.000000000&#x27;,\n",
       "       &#x27;2018-12-02T13:19:00.000000000&#x27;, &#x27;2018-12-12T13:17:59.999999744&#x27;,\n",
       "       &#x27;2018-12-22T13:15:00.000000000&#x27;, &#x27;2019-01-01T13:07:00.000000256&#x27;,\n",
       "       &#x27;2019-01-11T13:11:00.000000000&#x27;, &#x27;2019-01-21T13:19:00.000000000&#x27;,\n",
       "       &#x27;2019-01-31T13:24:00.000000000&#x27;, &#x27;2019-02-10T13:11:00.000000000&#x27;,\n",
       "       &#x27;2019-02-20T13:33:00.000000256&#x27;, &#x27;2019-03-02T13:18:00.000000256&#x27;,\n",
       "       &#x27;2019-03-12T13:19:00.000000000&#x27;, &#x27;2019-03-22T13:16:00.000000000&#x27;,\n",
       "       &#x27;2019-04-01T13:14:00.000000000&#x27;, &#x27;2019-04-11T13:20:00.000000000&#x27;,\n",
       "       &#x27;2019-04-21T13:32:00.000000000&#x27;, &#x27;2019-05-01T13:24:00.000000000&#x27;,\n",
       "       &#x27;2019-05-11T13:14:00.000000000&#x27;, &#x27;2019-05-21T13:23:00.000000000&#x27;,\n",
       "       &#x27;2019-05-31T13:23:00.000000000&#x27;, &#x27;2019-06-10T13:09:00.000000000&#x27;,\n",
       "       &#x27;2019-06-20T13:22:00.000000000&#x27;, &#x27;2019-06-30T13:24:00.000000000&#x27;,\n",
       "       &#x27;2019-07-10T13:22:00.000000000&#x27;, &#x27;2019-07-20T13:24:00.000000000&#x27;,\n",
       "       &#x27;2019-07-30T13:17:00.000000000&#x27;, &#x27;2019-08-09T13:20:00.000000000&#x27;,\n",
       "       &#x27;2019-08-19T13:29:00.000000000&#x27;, &#x27;2019-08-29T13:14:00.000000000&#x27;,\n",
       "       &#x27;2019-09-08T13:06:00.000000000&#x27;, &#x27;2019-09-18T13:11:00.000000000&#x27;,\n",
       "       &#x27;2019-09-28T13:08:00.000000000&#x27;, &#x27;2019-10-08T13:08:00.000000000&#x27;,\n",
       "       &#x27;2019-10-18T13:12:00.000000000&#x27;, &#x27;2019-10-28T13:04:00.000000000&#x27;,\n",
       "       &#x27;2019-11-07T13:15:00.000000000&#x27;, &#x27;2019-11-17T13:10:59.999999744&#x27;,\n",
       "       &#x27;2019-11-27T12:59:00.000000000&#x27;, &#x27;2019-12-07T13:15:00.000000000&#x27;,\n",
       "       &#x27;2019-12-17T13:05:59.999999744&#x27;, &#x27;2019-12-27T13:12:59.999999744&#x27;,\n",
       "       &#x27;2020-01-06T13:02:59.999999744&#x27;, &#x27;2020-01-16T13:20:00.000000000&#x27;,\n",
       "       &#x27;2020-01-26T13:07:00.000000000&#x27;, &#x27;2020-02-05T13:16:00.000000000&#x27;,\n",
       "       &#x27;2020-02-15T13:11:00.000000000&#x27;, &#x27;2020-02-25T13:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-06T13:09:00.000000000&#x27;, &#x27;2020-03-16T13:04:59.999999744&#x27;,\n",
       "       &#x27;2020-03-26T13:11:00.000000000&#x27;, &#x27;2020-04-05T12:51:00.000000000&#x27;,\n",
       "       &#x27;2020-04-15T13:00:00.000000000&#x27;, &#x27;2020-04-25T13:19:00.000000000&#x27;,\n",
       "       &#x27;2020-05-05T13:12:59.999999744&#x27;, &#x27;2020-05-15T13:03:00.000000000&#x27;,\n",
       "       &#x27;2020-05-25T13:11:00.000000000&#x27;, &#x27;2020-06-04T13:03:00.000000000&#x27;,\n",
       "       &#x27;2020-06-14T13:06:00.000000000&#x27;,                           &#x27;NaT&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_TRANSMISSION_END_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1de6c9f3-87c2-4a4b-aa29-5914b1a2db2c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1de6c9f3-87c2-4a4b-aa29-5914b1a2db2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01909483-1002-4905-b7ca-9530fa84481f' class='xr-var-data-in' type='checkbox'><label for='data-01909483-1002-4905-b7ca-9530fa84481f' title='Show/Hide data repr'><svg 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>Status of transmission end date</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><pre class='xr-var-data'>array([b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;9&#x27;], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>CLOCK_OFFSET</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e4f23093-ac9f-426e-9ee4-89e1eaf1c95c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4f23093-ac9f-426e-9ee4-89e1eaf1c95c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89ef4d2f-ba4f-4769-83d1-c8177b8abd7b' class='xr-var-data-in' type='checkbox'><label for='data-89ef4d2f-ba4f-4769-83d1-c8177b8abd7b' title='Show/Hide data repr'><svg 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>Time of float clock drift</dd><dt><span>conventions :</span></dt><dd>Days with decimal part (as parts of day)</dd></dl></div><pre class='xr-var-data'>array([480000038400, 480000038400, 480000038400, 480000038400, 480000038400,\n",
       "       480000038400, 480000038400, 480000038400, 480000038400, 480000038400,\n",
       "       480000038400, 480000038400, 540000000000, 540000000000, 540000000000,\n",
       "       540000000000, 540000000000, 540000000000, 540000000000, 540000000000,\n",
       "       540000000000, 599999961600, 599999961600, 599999961600, 599999961600,\n",
       "       599999961600, 599999961600, 599999961600, 599999961600, 599999961600,\n",
       "       599999961600, 599999961600, 599999961600, 660000009600, 660000009600,\n",
       "       660000009600, 660000009600, 660000009600, 660000009600, 660000009600,\n",
       "       660000009600, 719999971200, 719999971200, 719999971200, 719999971200,\n",
       "       719999971200, 719999971200, 719999971200, 719999971200, 719999971200,\n",
       "       719999971200, 719999971200, 780000019200, 780000019200, 780000019200,\n",
       "       780000019200, 780000019200, 780000019200, 780000019200, 780000019200,\n",
       "       780000019200, 780000019200, 839999980800, 839999980800, 839999980800,\n",
       "       839999980800], dtype=&#x27;timedelta64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>GROUNDED</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-21f61040-1ffa-474f-befe-b3bdaaf93a9a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21f61040-1ffa-474f-befe-b3bdaaf93a9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36c9f312-50f2-4cee-b183-6012a31e2477' class='xr-var-data-in' type='checkbox'><label for='data-36c9f312-50f2-4cee-b183-6012a31e2477' title='Show/Hide data repr'><svg 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>Did the profiler touch the ground for that cycle?</dd><dt><span>conventions :</span></dt><dd>Argo reference table 20</dd></dl></div><pre class='xr-var-data'>array([b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;,\n",
       "       b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;Y&#x27;, b&#x27;Y&#x27;, b&#x27;Y&#x27;,\n",
       "       b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;Y&#x27;, b&#x27;N&#x27;, b&#x27;Y&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;,\n",
       "       b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;,\n",
       "       b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;,\n",
       "       b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>REPRESENTATIVE_PARK_PRESSURE</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-98abff89-b8c3-41ba-a2fa-5a32758958c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98abff89-b8c3-41ba-a2fa-5a32758958c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-904c810b-43ca-4963-bac0-f4c05412c895' class='xr-var-data-in' type='checkbox'><label for='data-904c810b-43ca-4963-bac0-f4c05412c895' title='Show/Hide data repr'><svg 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>Best pressure value during park phase</dd><dt><span>units :</span></dt><dd>decibar</dd></dl></div><pre class='xr-var-data'>array([       nan,        nan,  985.     ,  991.     ,  974.     ,  982.     ,\n",
       "       1006.58826, 1032.4117 , 1022.4706 ,  981.35297, 1015.7059 , 1017.82355,\n",
       "        985.2941 , 1007.375  , 1018.17645,  999.94116,  988.58826, 1016.05884,\n",
       "        995.64703, 1006.58826,  982.     ,  743.7059 , 1007.58826, 1017.94116,\n",
       "       1011.5294 , 1009.41174, 1022.5    , 1022.     , 1017.64703, 1029.1765 ,\n",
       "        994.25   , 1029.8235 , 1001.     ,  991.     ,  986.64703,  991.17645,\n",
       "        988.1177 ,  993.05884, 1032.6471 , 1021.58826, 1038.1765 , 1020.41174,\n",
       "        985.     , 1000.94116, 1013.05884, 1034.4117 ,  996.64703, 1009.05884,\n",
       "       1026.4706 , 1012.05884,  998.7647 ,  981.4706 , 1025.     , 1027.1177 ,\n",
       "       1020.2941 , 1010.94116, 1017.82355, 1025.1765 , 1021.94116,  991.1177 ,\n",
       "       1011.2353 ,  995.17645,  989.8823 , 1014.8823 , 1009.58826, 1028.3529 ],\n",
       "      dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>REPRESENTATIVE_PARK_PRESSURE_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2bd1377f-b916-4808-afee-9bdb8f981c5b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2bd1377f-b916-4808-afee-9bdb8f981c5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10790d48-245a-4875-b285-0106fb0b7268' class='xr-var-data-in' type='checkbox'><label for='data-10790d48-245a-4875-b285-0106fb0b7268' title='Show/Hide data repr'><svg 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>Status of best pressure value during park phase</dd><dt><span>conventions :</span></dt><dd>Argo reference table 21</dd></dl></div><pre class='xr-var-data'>array([nan, nan, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;,\n",
       "       b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;,\n",
       "       b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;,\n",
       "       b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;,\n",
       "       b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;,\n",
       "       b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>CONFIG_MISSION_NUMBER</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2242883d-9111-4ced-9f22-54a6c4fe45e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2242883d-9111-4ced-9f22-54a6c4fe45e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d18bb1ac-448d-484c-9a6f-2d7d54482fd4' class='xr-var-data-in' type='checkbox'><label for='data-d18bb1ac-448d-484c-9a6f-2d7d54482fd4' title='Show/Hide data repr'><svg 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>Unique number denoting the missions performed by the float</dd><dt><span>conventions :</span></dt><dd>1...N, 1 : first complete mission</dd></dl></div><pre class='xr-var-data'>array([nan,  1.,  2.,  2.,  2.,  2.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,\n",
       "        3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,\n",
       "        3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,\n",
       "        3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,\n",
       "        3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>CYCLE_NUMBER_INDEX</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-15745a08-4282-40da-a148-2dc2862c0526' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15745a08-4282-40da-a148-2dc2862c0526' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20aabca2-0d6d-4d56-83c8-1da7dba75248' class='xr-var-data-in' type='checkbox'><label for='data-20aabca2-0d6d-4d56-83c8-1da7dba75248' title='Show/Hide data repr'><svg 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>Cycle number that corresponds to the current index</dd><dt><span>conventions :</span></dt><dd>0...N, 0 : launch cycle, 1 : first complete cycle</dd></dl></div><pre class='xr-var-data'>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
       "       14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,\n",
       "       28., 29., 30., 31., 32., 33., 34., 35., 36., 37., 38., 39., 40., 41.,\n",
       "       42., 43., 44., 45., 46., 47., 48., 49., 50., 51., 52., 53., 54., 55.,\n",
       "       56., 57., 58., 59., 60., 61., 62., 63., 64., 65.])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>CYCLE_NUMBER_INDEX_ADJUSTED</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7a80e3bd-51bd-4bd8-9fc7-858dcf685874' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a80e3bd-51bd-4bd8-9fc7-858dcf685874' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d12bda1-e67c-443b-8ac0-47c58b615deb' class='xr-var-data-in' type='checkbox'><label for='data-7d12bda1-e67c-443b-8ac0-47c58b615deb' title='Show/Hide data repr'><svg 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>Adjusted cycle number that corresponds to the current index</dd><dt><span>conventions :</span></dt><dd>0...N, 0 : launch cycle, 1 : first complete cycle</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>DATA_MODE</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c16776cb-270d-421e-83a1-4573eeef2614' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c16776cb-270d-421e-83a1-4573eeef2614' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69b8e757-fb42-43e0-8cdd-d0d082eeeae0' class='xr-var-data-in' type='checkbox'><label for='data-69b8e757-fb42-43e0-8cdd-d0d082eeeae0' title='Show/Hide data repr'><svg 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>Delayed mode or real time data</dd><dt><span>conventions :</span></dt><dd>R : real time; D : delayed mode; A : real time with adjustment</dd></dl></div><pre class='xr-var-data'>array([b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;,\n",
       "       b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;,\n",
       "       b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;,\n",
       "       b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;,\n",
       "       b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;,\n",
       "       b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_INSTITUTION</span></div><div class='xr-var-dims'>(N_HISTORY)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7dcff48e-84f8-41af-9eba-b8d97dc80e24' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7dcff48e-84f8-41af-9eba-b8d97dc80e24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cdd11de0-bdea-4d90-99c2-e209de54228b' class='xr-var-data-in' type='checkbox'><label for='data-cdd11de0-bdea-4d90-99c2-e209de54228b' title='Show/Hide data repr'><svg 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>Institution which performed action</dd><dt><span>conventions :</span></dt><dd>Argo reference table 4</dd></dl></div><pre class='xr-var-data'>array([b&#x27;IF  &#x27;, b&#x27;IF  &#x27;, b&#x27;IF  &#x27;, ..., b&#x27;IF  &#x27;, b&#x27;IF  &#x27;, b&#x27;IF  &#x27;], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_STEP</span></div><div class='xr-var-dims'>(N_HISTORY)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3277006a-5ed1-496d-9e2e-a9ed1e60f9be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3277006a-5ed1-496d-9e2e-a9ed1e60f9be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4a267c2-2a09-45b0-a5fb-a926f4d13add' class='xr-var-data-in' type='checkbox'><label for='data-a4a267c2-2a09-45b0-a5fb-a926f4d13add' title='Show/Hide data repr'><svg 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>Step in data processing</dd><dt><span>conventions :</span></dt><dd>Argo reference table 12</dd></dl></div><pre class='xr-var-data'>array([b&#x27;ARFM&#x27;, b&#x27;ARGQ&#x27;, b&#x27;ARGQ&#x27;, ..., b&#x27;ARFM&#x27;, b&#x27;ARGQ&#x27;, b&#x27;ARGQ&#x27;], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_SOFTWARE</span></div><div class='xr-var-dims'>(N_HISTORY)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ece77182-2595-4753-a67a-3e65348cc899' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ece77182-2595-4753-a67a-3e65348cc899' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ab10fb8-13cd-4609-845c-526a25417fd1' class='xr-var-data-in' type='checkbox'><label for='data-3ab10fb8-13cd-4609-845c-526a25417fd1' title='Show/Hide data repr'><svg 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>Name of software which performed action</dd><dt><span>conventions :</span></dt><dd>Institution dependent</dd></dl></div><pre class='xr-var-data'>array([b&#x27;CODA&#x27;, b&#x27;COQC&#x27;, b&#x27;COQC&#x27;, ..., b&#x27;CODA&#x27;, b&#x27;COQC&#x27;, b&#x27;COQC&#x27;], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_SOFTWARE_RELEASE</span></div><div class='xr-var-dims'>(N_HISTORY)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8d82ad54-5dfa-4917-94e4-a35adb965a67' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d82ad54-5dfa-4917-94e4-a35adb965a67' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7b9922a-cd60-434e-9c11-5439bb226140' class='xr-var-data-in' type='checkbox'><label for='data-c7b9922a-cd60-434e-9c11-5439bb226140' title='Show/Hide data repr'><svg 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>Version/release of software which performed action</dd><dt><span>conventions :</span></dt><dd>Institution dependent</dd></dl></div><pre class='xr-var-data'>array([b&#x27;027d&#x27;, b&#x27;2.3 &#x27;, b&#x27;2.3 &#x27;, ..., b&#x27;035b&#x27;, b&#x27;2.8 &#x27;, b&#x27;2.8 &#x27;], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_REFERENCE</span></div><div class='xr-var-dims'>(N_HISTORY)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-435170e0-63e6-485b-b41e-8a02237366c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-435170e0-63e6-485b-b41e-8a02237366c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dad97081-55f0-4677-a054-f305f1690f14' class='xr-var-data-in' type='checkbox'><label for='data-dad97081-55f0-4677-a054-f305f1690f14' title='Show/Hide data repr'><svg 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>Reference of database</dd><dt><span>conventions :</span></dt><dd>Institution dependent</dd></dl></div><pre class='xr-var-data'>array([b&#x27;                                                                &#x27;,\n",
       "       b&#x27;                                                                &#x27;,\n",
       "       b&#x27;                                                                &#x27;,\n",
       "       ...,\n",
       "       b&#x27;                                                                &#x27;,\n",
       "       b&#x27;                                                                &#x27;,\n",
       "       b&#x27;                                                                &#x27;],\n",
       "      dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_DATE</span></div><div class='xr-var-dims'>(N_HISTORY)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f381b525-ef85-4b74-9dc9-3c87662c3f0a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f381b525-ef85-4b74-9dc9-3c87662c3f0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59bda545-25e2-4d36-ae78-e0fb6d46ce68' class='xr-var-data-in' type='checkbox'><label for='data-59bda545-25e2-4d36-ae78-e0fb6d46ce68' title='Show/Hide data repr'><svg 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>Date the history record was created</dd><dt><span>conventions :</span></dt><dd>YYYYMMDDHHMISS</dd></dl></div><pre class='xr-var-data'>array([b&#x27;20190115112520&#x27;, b&#x27;20190115112534&#x27;, b&#x27;20190115112534&#x27;, ...,\n",
       "       b&#x27;20200625131658&#x27;, b&#x27;20200625131710&#x27;, b&#x27;20200625131710&#x27;], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_ACTION</span></div><div class='xr-var-dims'>(N_HISTORY)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9d72c644-752c-449c-8c13-17b1c5b4cf0a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d72c644-752c-449c-8c13-17b1c5b4cf0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-397ee5a4-9b8b-422b-93d3-3c9a0ac5d676' class='xr-var-data-in' type='checkbox'><label for='data-397ee5a4-9b8b-422b-93d3-3c9a0ac5d676' title='Show/Hide data repr'><svg 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>Action performed on data</dd><dt><span>conventions :</span></dt><dd>Argo reference table 7</dd></dl></div><pre class='xr-var-data'>array([b&#x27;    &#x27;, b&#x27;    &#x27;, b&#x27;    &#x27;, ..., b&#x27;    &#x27;, b&#x27;QCP$&#x27;, b&#x27;QCF$&#x27;], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_PARAMETER</span></div><div class='xr-var-dims'>(N_HISTORY)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d3986910-00f2-4031-9d10-8581437a6dc7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3986910-00f2-4031-9d10-8581437a6dc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45485a94-1b53-48ff-bb9c-f5ed88c536ff' class='xr-var-data-in' type='checkbox'><label for='data-45485a94-1b53-48ff-bb9c-f5ed88c536ff' title='Show/Hide data repr'><svg 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>Station parameter action is performed on</dd><dt><span>conventions :</span></dt><dd>Argo reference table 3</dd></dl></div><pre class='xr-var-data'>array([b&#x27;                &#x27;, b&#x27;                &#x27;, b&#x27;                &#x27;, ...,\n",
       "       b&#x27;                &#x27;, b&#x27;                &#x27;, b&#x27;                &#x27;],\n",
       "      dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_PREVIOUS_VALUE</span></div><div class='xr-var-dims'>(N_HISTORY)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d4d7c549-070e-49b5-b8b6-a44eabc3704d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4d7c549-070e-49b5-b8b6-a44eabc3704d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dee0798a-fd24-4bcb-886e-71a53042ac3c' class='xr-var-data-in' type='checkbox'><label for='data-dee0798a-fd24-4bcb-886e-71a53042ac3c' title='Show/Hide data repr'><svg 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>Parameter/Flag previous value before action</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_INDEX_DIMENSION</span></div><div class='xr-var-dims'>(N_HISTORY)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ba1cc3e9-17e9-4715-b8ee-ea381b1efa8d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba1cc3e9-17e9-4715-b8ee-ea381b1efa8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d6d6afb-ac8b-485e-b096-72dc1c946601' class='xr-var-data-in' type='checkbox'><label for='data-5d6d6afb-ac8b-485e-b096-72dc1c946601' title='Show/Hide data repr'><svg 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>Name of dimension to which HISTORY_START_INDEX and HISTORY_STOP_INDEX correspond</dd><dt><span>conventions :</span></dt><dd>C: N_CYCLE, M: N_MEASUREMENT</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, ..., nan, nan, nan], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_START_INDEX</span></div><div class='xr-var-dims'>(N_HISTORY)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2217cce7-6f83-4445-aefd-63da96364ea8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2217cce7-6f83-4445-aefd-63da96364ea8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0725645-6d9c-47df-905d-c023a186ab10' class='xr-var-data-in' type='checkbox'><label for='data-c0725645-6d9c-47df-905d-c023a186ab10' title='Show/Hide data repr'><svg 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>Start index action applied on</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, ..., nan, nan, nan])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_STOP_INDEX</span></div><div class='xr-var-dims'>(N_HISTORY)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-25050751-8757-4d1f-a422-7159fb8fdaf5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25050751-8757-4d1f-a422-7159fb8fdaf5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b39503f-5171-4f3d-abef-7764155ca091' class='xr-var-data-in' type='checkbox'><label for='data-7b39503f-5171-4f3d-abef-7764155ca091' title='Show/Hide data repr'><svg 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>Stop index action applied on</dd></dl></div><pre class='xr-var-data'>array([nan, nan, nan, ..., nan, nan, nan])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_QCTEST</span></div><div class='xr-var-dims'>(N_HISTORY)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0184a907-fb9c-48b5-89b1-0f3483383eea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0184a907-fb9c-48b5-89b1-0f3483383eea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1a3d66c-9079-4542-b32c-65e0332a5eb1' class='xr-var-data-in' type='checkbox'><label for='data-a1a3d66c-9079-4542-b32c-65e0332a5eb1' title='Show/Hide data repr'><svg 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>Documentation of tests performed, tests failed (in hex form)</dd><dt><span>conventions :</span></dt><dd>Write tests performed when ACTION=QCP$; tests failed when ACTION=QCF$</dd></dl></div><pre class='xr-var-data'>array([b&#x27;                &#x27;, b&#x27;                &#x27;, b&#x27;                &#x27;, ...,\n",
       "       b&#x27;                &#x27;, b&#x27;00000000027873DE&#x27;, b&#x27;0000000000700000&#x27;],\n",
       "      dtype=object)</pre></li></ul></div></li><li class='xr-section-item'><input id='section-ea849d06-b57e-463c-b158-3712a4ee28c2' class='xr-section-summary-in' type='checkbox'  ><label for='section-ea849d06-b57e-463c-b158-3712a4ee28c2' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>Argo float trajectory file</dd><dt><span>institution :</span></dt><dd>CORIOLIS</dd><dt><span>source :</span></dt><dd>Argo float</dd><dt><span>history :</span></dt><dd>2019-01-15T11:25:20Z creation; 2020-06-25T13:17:10Z last update (coriolis COQC software)</dd><dt><span>references :</span></dt><dd>http://www.argodatamgt.org/Documentation</dd><dt><span>user_manual_version :</span></dt><dd>3.1</dd><dt><span>Conventions :</span></dt><dd>Argo-3.1 CF-1.6</dd><dt><span>featureType :</span></dt><dd>trajectory</dd><dt><span>decoder_version :</span></dt><dd>CODA_035b</dd><dt><span>comment_on_resolution :</span></dt><dd>JULD and PRES variable resolutions depend on measurement codes</dd><dt><span>comment_on_measurement_code :</span></dt><dd>Meaning of some specific measurement codes for this float: 89: cycle start time, 190: descending profile dated levels, 198: max pressure sampled during descent to park pressure, 203: descending profile deepest level, 297: min pressure sampled during drift at park pressure, 298: max pressure sampled during drift at park pressure, 301: representative park measurement, 398: max pressure sampled during descent to profile pressure, 497: min pressure sampled during drift at profile pressure, 498: max pressure sampled during drift at profile pressure, 503: ascending profile deepest level, 590: ascending profile dated levels, 901: grounded information</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                              (N_CYCLE: 66, N_HISTORY: 1043, N_MEASUREMENT: 4289, N_PARAM: 3)\n",
       "Dimensions without coordinates: N_CYCLE, N_HISTORY, N_MEASUREMENT, N_PARAM\n",
       "Data variables:\n",
       "    DATA_TYPE                            object ...\n",
       "    FORMAT_VERSION                       object ...\n",
       "    HANDBOOK_VERSION                     object ...\n",
       "    REFERENCE_DATE_TIME                  object ...\n",
       "    DATE_CREATION                        object ...\n",
       "    DATE_UPDATE                          object ...\n",
       "    PLATFORM_NUMBER                      object ...\n",
       "    PROJECT_NAME                         object ...\n",
       "    PI_NAME                              object ...\n",
       "    TRAJECTORY_PARAMETERS                (N_PARAM) object ...\n",
       "    DATA_CENTRE                          object ...\n",
       "    DATA_STATE_INDICATOR                 object ...\n",
       "    PLATFORM_TYPE                        object ...\n",
       "    FLOAT_SERIAL_NO                      object ...\n",
       "    FIRMWARE_VERSION                     object ...\n",
       "    WMO_INST_TYPE                        object ...\n",
       "    POSITIONING_SYSTEM                   object ...\n",
       "    JULD                                 (N_MEASUREMENT) datetime64[ns] ...\n",
       "    JULD_STATUS                          (N_MEASUREMENT) object ...\n",
       "    JULD_QC                              (N_MEASUREMENT) object ...\n",
       "    JULD_ADJUSTED                        (N_MEASUREMENT) datetime64[ns] ...\n",
       "    JULD_ADJUSTED_STATUS                 (N_MEASUREMENT) object ...\n",
       "    JULD_ADJUSTED_QC                     (N_MEASUREMENT) object ...\n",
       "    LATITUDE                             (N_MEASUREMENT) float64 ...\n",
       "    LONGITUDE                            (N_MEASUREMENT) float64 ...\n",
       "    POSITION_ACCURACY                    (N_MEASUREMENT) object ...\n",
       "    POSITION_QC                          (N_MEASUREMENT) object ...\n",
       "    CYCLE_NUMBER                         (N_MEASUREMENT) float64 ...\n",
       "    CYCLE_NUMBER_ADJUSTED                (N_MEASUREMENT) float64 ...\n",
       "    MEASUREMENT_CODE                     (N_MEASUREMENT) float64 ...\n",
       "    AXES_ERROR_ELLIPSE_MAJOR             (N_MEASUREMENT) float32 ...\n",
       "    AXES_ERROR_ELLIPSE_MINOR             (N_MEASUREMENT) float32 ...\n",
       "    AXES_ERROR_ELLIPSE_ANGLE             (N_MEASUREMENT) float32 ...\n",
       "    SATELLITE_NAME                       (N_MEASUREMENT) object ...\n",
       "    PRES                                 (N_MEASUREMENT) float32 ...\n",
       "    PRES_QC                              (N_MEASUREMENT) object ...\n",
       "    PRES_ADJUSTED                        (N_MEASUREMENT) float32 ...\n",
       "    PRES_ADJUSTED_QC                     (N_MEASUREMENT) object ...\n",
       "    PRES_ADJUSTED_ERROR                  (N_MEASUREMENT) float32 ...\n",
       "    TEMP                                 (N_MEASUREMENT) float32 ...\n",
       "    TEMP_QC                              (N_MEASUREMENT) object ...\n",
       "    TEMP_ADJUSTED                        (N_MEASUREMENT) float32 ...\n",
       "    TEMP_ADJUSTED_QC                     (N_MEASUREMENT) object ...\n",
       "    TEMP_ADJUSTED_ERROR                  (N_MEASUREMENT) float32 ...\n",
       "    PSAL                                 (N_MEASUREMENT) float32 ...\n",
       "    PSAL_QC                              (N_MEASUREMENT) object ...\n",
       "    PSAL_ADJUSTED                        (N_MEASUREMENT) float32 ...\n",
       "    PSAL_ADJUSTED_QC                     (N_MEASUREMENT) object ...\n",
       "    PSAL_ADJUSTED_ERROR                  (N_MEASUREMENT) float32 ...\n",
       "    JULD_DESCENT_START                   (N_CYCLE) datetime64[ns] ...\n",
       "    JULD_DESCENT_START_STATUS            (N_CYCLE) object ...\n",
       "    JULD_FIRST_STABILIZATION             (N_CYCLE) datetime64[ns] ...\n",
       "    JULD_FIRST_STABILIZATION_STATUS      (N_CYCLE) object ...\n",
       "    JULD_DESCENT_END                     (N_CYCLE) datetime64[ns] ...\n",
       "    JULD_DESCENT_END_STATUS              (N_CYCLE) object ...\n",
       "    JULD_PARK_START                      (N_CYCLE) datetime64[ns] ...\n",
       "    JULD_PARK_START_STATUS               (N_CYCLE) object ...\n",
       "    JULD_PARK_END                        (N_CYCLE) datetime64[ns] ...\n",
       "    JULD_PARK_END_STATUS                 (N_CYCLE) object ...\n",
       "    JULD_DEEP_DESCENT_END                (N_CYCLE) datetime64[ns] ...\n",
       "    JULD_DEEP_DESCENT_END_STATUS         (N_CYCLE) object ...\n",
       "    JULD_DEEP_PARK_START                 (N_CYCLE) datetime64[ns] ...\n",
       "    JULD_DEEP_PARK_START_STATUS          (N_CYCLE) object ...\n",
       "    JULD_ASCENT_START                    (N_CYCLE) datetime64[ns] ...\n",
       "    JULD_ASCENT_START_STATUS             (N_CYCLE) object ...\n",
       "    JULD_DEEP_ASCENT_START               (N_CYCLE) datetime64[ns] ...\n",
       "    JULD_DEEP_ASCENT_START_STATUS        (N_CYCLE) object ...\n",
       "    JULD_ASCENT_END                      (N_CYCLE) datetime64[ns] ...\n",
       "    JULD_ASCENT_END_STATUS               (N_CYCLE) object ...\n",
       "    JULD_TRANSMISSION_START              (N_CYCLE) datetime64[ns] ...\n",
       "    JULD_TRANSMISSION_START_STATUS       (N_CYCLE) object ...\n",
       "    JULD_FIRST_MESSAGE                   (N_CYCLE) datetime64[ns] ...\n",
       "    JULD_FIRST_MESSAGE_STATUS            (N_CYCLE) object ...\n",
       "    JULD_FIRST_LOCATION                  (N_CYCLE) datetime64[ns] ...\n",
       "    JULD_FIRST_LOCATION_STATUS           (N_CYCLE) object ...\n",
       "    JULD_LAST_LOCATION                   (N_CYCLE) datetime64[ns] ...\n",
       "    JULD_LAST_LOCATION_STATUS            (N_CYCLE) object ...\n",
       "    JULD_LAST_MESSAGE                    (N_CYCLE) datetime64[ns] ...\n",
       "    JULD_LAST_MESSAGE_STATUS             (N_CYCLE) object ...\n",
       "    JULD_TRANSMISSION_END                (N_CYCLE) datetime64[ns] ...\n",
       "    JULD_TRANSMISSION_END_STATUS         (N_CYCLE) object ...\n",
       "    CLOCK_OFFSET                         (N_CYCLE) timedelta64[ns] ...\n",
       "    GROUNDED                             (N_CYCLE) object ...\n",
       "    REPRESENTATIVE_PARK_PRESSURE         (N_CYCLE) float32 ...\n",
       "    REPRESENTATIVE_PARK_PRESSURE_STATUS  (N_CYCLE) object ...\n",
       "    CONFIG_MISSION_NUMBER                (N_CYCLE) float64 ...\n",
       "    CYCLE_NUMBER_INDEX                   (N_CYCLE) float64 ...\n",
       "    CYCLE_NUMBER_INDEX_ADJUSTED          (N_CYCLE) float64 ...\n",
       "    DATA_MODE                            (N_CYCLE) object ...\n",
       "    HISTORY_INSTITUTION                  (N_HISTORY) object ...\n",
       "    HISTORY_STEP                         (N_HISTORY) object ...\n",
       "    HISTORY_SOFTWARE                     (N_HISTORY) object ...\n",
       "    HISTORY_SOFTWARE_RELEASE             (N_HISTORY) object ...\n",
       "    HISTORY_REFERENCE                    (N_HISTORY) object ...\n",
       "    HISTORY_DATE                         (N_HISTORY) object ...\n",
       "    HISTORY_ACTION                       (N_HISTORY) object ...\n",
       "    HISTORY_PARAMETER                    (N_HISTORY) object ...\n",
       "    HISTORY_PREVIOUS_VALUE               (N_HISTORY) float32 ...\n",
       "    HISTORY_INDEX_DIMENSION              (N_HISTORY) object ...\n",
       "    HISTORY_START_INDEX                  (N_HISTORY) float64 ...\n",
       "    HISTORY_STOP_INDEX                   (N_HISTORY) float64 ...\n",
       "    HISTORY_QCTEST                       (N_HISTORY) object ...\n",
       "Attributes:\n",
       "    title:                        Argo float trajectory file\n",
       "    institution:                  CORIOLIS\n",
       "    source:                       Argo float\n",
       "    history:                      2019-01-15T11:25:20Z creation; 2020-06-25T1...\n",
       "    references:                   http://www.argodatamgt.org/Documentation\n",
       "    user_manual_version:          3.1\n",
       "    Conventions:                  Argo-3.1 CF-1.6\n",
       "    featureType:                  trajectory\n",
       "    decoder_version:              CODA_035b\n",
       "    comment_on_resolution:        JULD and PRES variable resolutions depend o...\n",
       "    comment_on_measurement_code:  Meaning of some specific measurement codes ..."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Rtraj"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import cartopy.crs as ccrs\n",
    "import cartopy\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "fig,ax = plt.subplots(figsize=(10,10),subplot_kw={'projection': ccrs.PlateCarree()})\n",
    "ax.plot(Rtraj.LONGITUDE,Rtraj.LATITUDE,'ob')\n",
    "ax.plot(Rtraj.LONGITUDE[~np.isnan(Rtraj.LONGITUDE)],Rtraj.LATITUDE[~np.isnan(Rtraj.LATITUDE)],'-b')\n",
    "ax.plot(Rtraj.LONGITUDE[0],Rtraj.LATITUDE[0],'ok')\n",
    "ax.plot(Rtraj.LONGITUDE[-1],Rtraj.LATITUDE[-1],'sk')\n",
    "\n",
    "ax.set_title(f\"Data from {Rtraj.PLATFORM_NUMBER.values.astype(str)}\")\n",
    "ax.coastlines()\n",
    "ax.add_feature(cartopy.feature.OCEAN)\n",
    "ax.gridlines(draw_labels=True, x_inline=False, y_inline=False);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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EBkMgRlt5psGTUkqpiHw5fhZOXbrf49xxmgWijhz6r10ppVSRHA4hKAJF3GV1+T0XxbBHqswYCJTvQaGY0JEnpZRSEbk9Lk7ochwOtzviMW3OakWn3qfGsFdKlS0NnpRSShXprjE3UL1uFRIqJeNwu3G4XTg9Hpq0bsTISQ/xzC/DEYn0fFZ1ODFYd9vFYivPdNpOKaVUkarVrcLYpc8zfeJc/luykS1rt5GWmkaT4xrSvF2Tsu6eUjGnwZNSSqn9crld1GxYjSeveB6f17rzbtrXMxn/xJc89u19nHzeCWXcQxUbQgAdZdRpO6WUUkUK+AOsnL+W+7qOyAuccgUDQR699FmyM8OvAaXU4UhHnpRSSkX098S5jL7pTbyZXrL37A17TMAfYN6vCzmlR/sY906psqHBk1JKqbD+W7qRp/q/ijcrBxMsKoXXEAyU9xRfVRoMENSlCnTaTimlVHgT3vwVX+7K4kXcTRc00LRNo9h0SqlyQIMnpZRSYW1bn5o3oiQi4Iqw1lPQcFWT2/j4qa9i2DtVVgJ20ni0t/JMgyellFJhtT/7OOISPQSDQYJeL/h99p7wX2zvPvgxG1dujl0HlSojGjwppZQK65wrT6di1WTw5UC+B7VGTnr58LEvSq39rIxsFv+9TAOycsSgI0+gCeNKKaUiiE+Kp3qdimxZuanY56TvyiiVtr9++QfeeeAjnC4Hfl+Apq0b8ug391G5RsVSqV+pg6EjT0opVc5lZ3r5+YP/8fFTXzPvt4WYIh7QW9pWz19XouO7D+h80G3O/WUB7zzwEd5ML5lpWeRk5bB8zmoeufjpg65bHbygkZhs5ZmOPCmlVDm2bvF67j5zGD6vH29WDp4ED83aNGLU5IfxxHsOqu41//7H8IufZvOqrSDQvG1jRkx8gKq1Kucdk1KtAhl7MotVX8OW9Tm154kH1Jec7Bz+njCHnZt38fsn0/AWWHQz4Auw8p+1bF69ldpNah5QG0qVFg2elFKqHHu8z/Ok79xL7mBT9t5sls9exRfPT+SKBy4Je04gEOCL0RP4/q1fyNidQevOrbhh1JXUbrwv6Ni1dTc3tx2yb30mAyvmrmFAi4F8ueNd3B7rzrprn+jLE31fKJTm5HA5OPrEZqyavw5PgpvL7rqA3vf2xOEo+YTGf0s3ckeHB8hKzy5yVM2f42fd4vXFDp6CwSD/TlvG1v9Sad62EY2OrVfivh2sLWu3MXvSfOISPZx6YXuSKibFvA+lKTfn6UgnsRz+jbb27dub2bNnl3U3lFKqVOzYmEr/5nfgy/YV2lenWS3eX/5yofKMPRlcf9zd7NiwM1+5w+ngtdmjaNq6EQBPXfUiv43/M2y7d7x6Axfe0jXv/dhhn/DxU1/nBVoJFeLJzvBiQlZLTK6UxNjlL1GxWkqJr/OKBjezfUNqsY6tUb8a41a/gtPpLPK4nVt2M6Tbk6Ru2oXBEAwY2nY+ltMvasf29am0aNeEdl1bH1CwV1wfPPY5n4z8GnE4cDiEYNDwyFdDaN+1dam1ISJzjDExW9r92OM95sOJtWLSVruG62N6bSWhOU9KKVVOGRNpUQAijtC8+9DHhQInsJ5BN6znqLz3S2esjNjuwimL872/5rE+fJc2jldmPsW4Va8QDJh8gRPA3t0ZPN7nhYh1RrJl7Ta2byxe4ASQvjuD2T/9s9/jnr52DJtXbyVrbzbZe714M7P5+5sZvHDTG4wb/ikjej3H7SfdT9berBL3uTiWzFjBp09/S062D2+ml6y92XgzvTx22bNkZWRHpc1YMAgBHDHZyrPy3TullDqCVa9XlVqNC09ReeLddO1/Zthzfv94WsT6tq3bQY7XGsWq2yzy6EHTNg0LlcUlxHFU+2ZkpmUVykfKteB/iyLWGYnfFyhq5YNCAj4/W9ZuL/KYvbszWDhtGQH/vkfGGJ8PjMHn9RMMGrL2ZrN20QY+HPFliftcHJPf/52crJxC5eIQZk+aH5U2VexELXgSkfoi8ruILBGRRSIyyC5/RkSWisgCEflaRCpFOH+tiCwUkX9EROfilFJHpIc+uZPkSknEJ8UBkJAcT5PWjbj8ngvDHu9wFJ2Pkhv43PhM/7DDWi63k0vuvCDi+dlFjJocSBZI3Wa1cDiL/1XkcDqKfBSM3x/gs2e/w5eZRdDnIxgMWqN0YTrn8/r4dfyUkne6GHxef9jRQWOs3K1Dmd5tF92RJz8w2BhzDNABuE1EjgV+BloZY44HlgMPFFFHZ2NMm/I656mUUtHW+LiGjF/3Ore+MID+w3vx8Gd38+K0x4lLiAt7/FlXdIxYV6XqKSRXshKWG7Wsz5D3bi10jN8fYOW8NRHraNG+KU5X+K+Omo2qEfAHirqcQkSEKx4Mk/gukFK1Ai73vtwmT7ybZm0b0/LUo8LWlbZzL5dUHcDHT36FCQQgGABfjvU6gmil/Z7Z69S8gDdUwOenXdfjo9OoipmoBU/GmM3GmLn263RgCVDXGDPZGJMbdk8HYn/7g1JKHUISKyRw7nVduGr45ZzYvW2RSc5XP9abus1rFyp3uhzc98FA6xl1tklj/1e4AgMPdH88Yv1uj5s7Xrk+7KjVjg2pPHzhSILBYOGdRbj6kd7c+uIAElMSAEiqmMgdL1/He0tfpPt1Z1GxWgpValfi0rsuYOSkh/JdQ6jH+zxPVnqYHKaAHwkzuuWOc9GlX+Rg82C079qaU3ueRHxSHCLgdDnxJHi4/eXrSKlSISptxoKuMG6Jyd12ItIImII14pQWUj4B+NQY82GYc9YAu7D+rt4wxrwZoe4bgRsBGjRo0G7dupIt6KaUUoebQCDALx9O5btXfiR1y25antKCfg9dRpPj8+cydXP33rdUQQEfrH6VWo1qRGzjrfs/4LOnvytU7knw8OjX9x7wHWW+HB8utytigFSU7nF9CPjCjzKdc3VnZnw/G1+2j6y92SQkx1O7aU2enzKCxAoJB9TX/THGsGDKYv76dhYJyfF06deR+kfVLdU2Yn233dHHx5l3J5TuNURyWqM15fZuu6iv8yQiycCXwJ0FAqcHsab2xkc49TRjzCYRqQH8LCJLjTGFJqftoOpNsJYqKPULUEqpQ4zT6aTb1Z3odnWnIo8r6sdzTpjlEUL9+M7v4c/LymHWj3MPOHjKXV+qtHW9+kwGvnodU7+Yzpa122jRrgntu7fZ75IHB0NEaH1mS1qf2TJqbaiyEdXgSUTcWIHTeGPMVyHlVwMXAF1MhP96jTGb7D+3icjXwElYo1dKKaVKQePjGrJ6/tpC5e44Nw2Ojjy6kOP1sXd35GfYpVQv+VpPpaFNp1bM+bnwnWxOt5PjOh6D0+ngnAh3KR6sXdv2MO6RT/nr29nEJ3rocUs3Lh54Hk5X9IKzsiEEjN6oH8277QR4B1hijHkupLw7cB9woTEm7Jr/IpIkIhVyXwNdgX+j1VellDrS/LdsEw2Paxg2d+m+928v8ly3x1XkStmfPv0t3T196FPvJn79aOrBdrXYhn48iMSUxPyFAkPHD8JZgjv6SiozPYvbTryPn975jZ2bd7Fp1VbGDvuEp658KWptqrIVzZGn04CrgIUikrui2VDgJSAOayoOYLox5mYRqQO8bYw5D6gJfG3vdwEfGWN+imJflVLqiLFg6hIe6vksPq8fXB4cBCFoaHtWSwa+dgN1mha9grSI0HvIhXww4gtywqz5lJVmJW2nbtrJqP4vk7p5N70G94jKtYRKqVKBr1Lf5asXf2DO5PnUaFCNASP6ULlm2BVxSs3k9/8gLXWvtWaVzZuZw9/fzWLD8k3Ua1Enqu3HkgGCukRk9IInY8yfhF8c94cIx28CzrNfrwZKb/16pZRSgJXn9Pwt7+DNtBZwtO7cc+BwCRWqV95v4JSr15ALyfH6+fy5CQRy/DicDrxZXiiw8rgJGsY+/Ak9b+t20A8yLg6n08nld/fg8rujH6zlWvC/xWEXDnW6nSyfveqwCp6URcNHpZQ6gqTvymDbfzsKlQeDhrm/Fj87wuFw0H/YZXy9/R3Gr3mVG0b2i7hoUjAQYPOabQfc5/KuXovauDxhxiIM1GhYPfYdijJdqkCDJ6WUOqLEJXggwjIASRVLfsu+y+2ics1KVKtbJeL6UyZI1KfOytIFN51TKHhyupzUaFAt4oKe6tCmwZNSSh1B4hI8nH5Re9xx+b/s4xI9XHTLOQdc70nntY24XtLJF7QjpUryAddd3tVoUJ2RPz1Enaa1cMe5cXlctO7Ukmd+HX5A61WVZ8ZYd9vFYivPor7Ok1JKqciMMSz+ezkL/1xG5ZopdLzk5Kgt2phr0KvXsnt7GotnrMTtdpLj9dO51ylcfEf3A67T7XHz8vQnuafLo6Ru3JlX3q5rax78aFBpdLtca3nqUYxd/hI7t+zGE++mQuXDN1hUMVphPFbat29vZs/WZwgrpQ4NAX+A4ZeMZsHUJeRk+/DEu3E4HTw96UFatGsS9fY3rNjMlrXbadyyPlXrVC69epdvYtv6HbRo35TkIpY0UAcv1iuMtzguwbz8XeOYtNW9yZIjd4VxpZRS4f347u/Mn7I478637Azrjq1HL3+eD1e9FPUpn3rNa1MvzHPwDrreFnUK3WHm9/nxZuaQmJJw2E1lqSOPBk9KKVVGJo39Iy9wCpW+ay9rF22gcav6ZdCr0uXNzuHhHiOZ99u/YAxxiXHc9uIAzr2uS1l3TR0A68HA5TsfKRY0eFJKqTJSZNbEQaRUpO1M59VB7zFn0nwSKybS78FL6HZN5wOuL9fKeWuY+OYvVKicxOVDLiSlGHk9d3QYypoF+x7Y7s308twNY6hYLYVTLzrxoPt0KFg+ZxVv3DOODcs30+CYetw8uj9NWzcq626pg6DBk1JKlZGu/c9g3ZINhUafkisl0rBlvQOqc09qGn3r34zPfrDvnh1pPHvta8z7bSH3jxt4wH29r9vjzP1lYd77T0Z9y51jbuD8G86OeM7mtdvyBU6hXrvzvSMiePp1/BRG9n/ZGrIBdm7exc0n3MvDn93NGZd2KNvOHRB9th3oUgVKKVVmzrv+LI7t0IL4pDgQa7mAhOR4Hv7kzohrJu3Pize/lRc4hfr1w6ns3LL7gOqc+ObP+QKnXC/c8hZZGdkRz1v817KI+1I37zqgvhxK/D4/o68fkxc45TGGp695lWAwWCb9UgdPR56UUqqMuNwuRv74APP/t5iFU5dSuVYlzrzs5IO6zX3uLwsi7vvlwyn0uufCfGVLZ63ktUFjWbdkPdXqVOH6kf04pUf+G5y+GD0xfIUGvnrhe/o9eGnY3Ued2DRiXyrVSIm473Cx9t/1+HP8YfflZHmtabyj68a4VwdHn21n0eBJKaXKkIjQplNL2nRqWSr1xSXFkbEnM+y+yjUr5ns//fu5DLtoJMZ+Ht1/ezIZdtEorhx2GVc/0jvvOG9W4aT2XJn2Q4DDqde8DnWb12bjis2F9t34dP8ir6O8SEtNZ+2iDVSvV5XaTWqU6NyECvFF708uer8qvzR8VEqpw8hld4V/IK7T5aRLv455740xPDPg1bzAKdT4x78kI21fANap96kR2+txa9ci+/P63KdpETIC5fK4uPGZq+jc57QizytrxhjeemA8VzS5g+GXjebGE+7lvnOfzPe57E/dZrWpVq9K2H21m9aier2qpdVdFWMaPCml1GHk8sE9aN+9Tb4yh9PB4xMfyJdHtXd3Bump6WHrMEHDv1OX5L0f8ERfKlarUOi4s/qdTq2GRY/GJCTF8+qMkXyXNo6P/hvD95njuXzwhUWeUx5MHvc/JrzxKz6vj8y0LHKyfSz6axmjb3ijRPWM/uPRQivGJ1dK4plfhpVmd2MqYCQmW3mm03ZKKXWYeeqHB9m4YjM/f/A/qtapwrnXd8HlcuY7Ji4xDhwCgcIjTyJCYkpi3nuPx8XHG8bw4WNf8Menf5FYIYErHryEjpecXOw+JSQnkJAc3cfOlKYvX/gBb6Y3X5nP62fmT/+QkZZJUsjnU5TajWvy9a6x/PnVDBb/vZxWpx/NaT1P0oVCD3EaPCml1GGobvPaXPNYn4j7PXFuTuzWhpk/zC20L6FCPMee2iJfmdvtYsCIPgwYEbnOw0n6royw5WbScDwAACAASURBVOJwkJmWVezgCcDhcHDGZadwxmWnlFb3yoxBdJFMdNpOKaWOWMM+H0zDlvlXMY9LjOP5KSNwOp0RzjoytO3SCoez8FdkcqXEUn0OoDo06ciTUkodoeISPLy98DlWL/yPGd/PocHRdenQo90RHzgBXD3sMmb+MI/sDC++HD/iEDzxbga9et0Br8F1uAjqIpkaPCml1JGuyXENaHJcg7LuRrlSs2F13pg7iq9f+YkFU5ZQt2ktLr3zPJq1aVTWXVPlgAZPSikVQ8YYls5cwe6teziha2vi4j1l3SUVQdXalbn+ib5l3Y1yRR8MbNHgSSmlYmT53NXc02k4WXvtR5oIXHZ3D2565tBYMFKp8kRE3gUuALYZY1rZZZ8CR9mHVAJ2G2PaiEgjYAmQ+8yg6caYm+1z2gFjgQTgB2CQMUU/mVuDJ6WUigG/z8+dpz2IzxvyuA4DX4yeQPO2jTnrio6RT1aqnDCUqzWYxgKvAONyC4wxeUvji8hoYE/I8auMMfkXQbO8DtwITMcKnroDPxbVsI69KaVUDEz5/O/8gVOI9x7+JMa9ObKsW7KB716fzMr568q6K6oUGWOmADvD7RNrIa1ewMdF1SEitYEUY8zf9mjTOKDn/trWkSellIqBTau2RNyXFmGl78OFMYYt67aRXDGRCpULr1QeLdmZXgYcexc7/tueV5aYksh7y16kSs1KMevH4SaGDwauJiKzQ96/aYx5s5jndgS2GmNWhJQ1FpF5QBrwkDFmKlAX2BByzAa7rEg68qSUUjFw2sWRV+Nu1rZxDHsSW1++MJFz4/vSv8ntXFL1Wvo1vIXt63fEpO1BHYflC5wAMtMyue7YO2PSvjpoO4wx7UO24gZOAH3JP+q0GWhgjGkL3A18JCIpQLg5yCLznUCDJ6WUionGrRpw9MnNCpU7HMKdY24sgx5F3/SJsxlz9/sEfIG8sm3rd3D9cXezn3zcg5ad6WX1vNVh9+3dlcG6JRvC7lNFMwYCxhGT7UCJiAu4BPh0X7+N1xiTar+eA6wCWmCNNNULOb0esGl/bWjwpJRSMfLSX09yyZ3nE58ch9PtpGmbRrw+7xnqH7XfWYJD0hv3jAtbnpmWxfSJs8PuK66/Jsziioa30D2uD5fXup4f3/093/6MtKwiz1+/ZONBta/KtbOBpcaYvAhZRKqLiNN+3QRoDqw2xmwG0kWkg50n1R/4dn8NaM6TUkrFiIhwy3PXcMtz15R1V2IiddOuiPtWzV/HKT1OPKB6f/1oKiOvfCnv/e5te3ju+tfYuWUX/YZeAkDlGimIy4nxB8LWcdRJhUcBVXEIwbAzXbEnIh8DnbByozYAw40x7wB9KJwofgbwmIj4gQBwszEmN9n8FvYtVfAj+7nTDnTkSSmlDjnLZq/i8+cmMmnsH2SkZZZ1dyKqf3TkEbUTzj7+gOt9+fZ3wpZ/8OhnedOBDoeD/o/0Cntcy9OOpnq9qgfcviofjDF9jTG1jTFuY0w9O3DCGHONMWZMgWO/NMa0NMa0NsacYIyZELJvtjGmlTGmqTHm9v2t8QQaPCml1CEjEAjy+BUvMqTr47w3/DNeGzyOfk3vYMmMFfs/uQwMev36sOm4dZrV4tgOLQ643ozdGWHLA74AaTv35r2/cugl3PbK9cQlxgHgcDnoek1nRv/xyAG3rRTotJ1SSh0y/vj0L2ZNmo83MwcgLxH70V7P89GaV8rdA2tbtGvG078MZ1T/l0nduBOH08HJ57Xloc/uPqh6HU4HwUAw7L7ECvH53ve8tRs9b+12UO2pfQwcVDL34UKDJ6WUOkT8NPYPsjO8hcqzM7ysmLuGo9o3LYNeFa1t51Z8sv6NUq3z1J4n8eeX0wuVNzuhCW6Pu1TbUiocDR+VUuoQEQxGSMUQMJH2HYYe+vhOWrTPn/Bdu2ktnY6LkQCOmGzlmY48KaXUIaLrVWewct6aQqNP7jg3zds1KaNeQTAYJH1XBgnJ8Xjioj/y43Q5eXXmU2xZu43F05fTrHVjGhxzeC73oMonDZ6UUuoQcXa/05n69UwWTl1CdoYXT4IHh0N4aPxAnM7S/6X+4Ygv+Hz0BLIzsqneoBp3jrmR9ue0znfM/76awZh7P2Lv7kzEIXS9siM3jeyL2xP9r5dajWpQq1GNUqlr0+qtTJ84h6q1K9Px0pPLXf5YeWEQguXnwcBlRoMnpZQ6RDhdTkZ8fQ8Lpixh/pTFVKxagU69TqVitdJ/XtyT/V7k94//zHu/dc02Huj+OE/++CAndrUeTD9/yhKeu+VdvFk5ecf9PP5PfDl+7nplQKn3KRoCgSAPXziSWT/Ny3soh8vj4vEJ99OuQKCoVC4NrZVS6hAiIrQ+81j6P3wZF93aLSqB097dGfkCpzwGnr9hX/L3R09/ly9wAvBm5fD7Z3/vd4Xv8uKzZ75j1o/z8j3NzJ/jZ+j5T7I3wpIIRzrNedLgSSmlVAGL/14ecd+Ojal5rzev2R72GKfTwa6tewAwxpCVkU0gEH6l71gJ+AO8OeQDLkjqR1dXL3rXvYGpX03ny+cnhD0+6A8y+f0/YttJdcjQaTullDoCpG7ZzWOXj2bJdCswOqZDC4Z9PpiqtSoVOrZGg2oR64lLiMt73eKExmzfuLPQnX4GqFG/KjO+n8Ooq18h3V64slq9qgz/YjBHn9S8FK6oZO7rNoL5vy/Ke79z824eu2w07iIS3JfMXMHvn/5F607HUqVm4c/pSGSAoK7zpCNPSil1uPPl+LimxUAWT1uKCQQxgSCLpy3lmhYD8eX4Ch3fqGV9qtSuHLauS+46P+/1VQ/2JC7Bg4TkD8clerji3gtZ+c8ahl/8dF7gBLBjQyp3nv4w/y2N7UN5P3vm23yBU6iAP/ximwB/fDyNJ/s+T+/aN3B3p+FlPnqmyg8NnpRS6jD3xXMTyd5bOAcpe28WXz7/Q9hzXps9iqp1q+QrO7P3aVzzaO+89w2Prstzk4fS7uzjSK6USP2jajPoxWvoddd5jBv+adjAJOAPMO7Rzw/yioovO9PL2w98BA4H4nYjrvwTLsFAAFcx7gxcOGUxT/R5IVrdPIQIgRht5ZlO2yml1GFu3q//Rtw395cF9LnvokLlVWtX5pP1b7B++SY2r9pCq9OPIbFCQqHjmhzXgMe/LPy4lXVLIo8uLZu1spg9P3gzf5gHbjeOkKBJ4uIIZmdDIIDD6WDsipd5bdB7/PPbQhxOB3t3hU8Un/bNTLxZ3nxTl+rIpMGTUkod5mo3rsG8IvYVpX6LOtRvUafEbbZo14QdG1LD7mtyfMMS13egls5ehbhciOQfyXDExxPMyKDjpR2oWb8aj341BID5fyzini6P5Lv7LpcxhrTUvVSvd+QGT5rzZNFPQCmlDnNXP9a7UPAA1rIHV4/oHeaMgzfg8b44XYW/YpxuJ1c9fFlU2gxn3bItYa8dILFSMveOvS1fWYsTmyIS/qvR5XFRuWbFUu+jOvRo8KSUUoe5KrUq8fDnd+fL7XF5XDz8+d1Ru4usUcv6vPDn41SvXzWvrFLNSjz5w4M0a9s4Km2WhABD3rsVT7wnX3lCUjx9H7yk8PEi9B/eC5dbJ2w050mn7ZRS6ojQ8ZIOTNx7IktmrADgmJOb43Q5o9rm0Sc156N1YwgGg/h9gZg8966grleezqK/V5Cdmf95gEmVkuhwXtuw5wx4tDe1G9Xg3aHj2bMjnZSqFbj2yb6ce22XWHRZHQI0eFJKqSOE0+Wk1WlHx7xdh8OBJ65sJjo6Xnwif343h5mT5uPL9uGOcyMCD31wW5GjSN0HdKb7gM4x7OmhwRjRnCc0eFJKKXUIy/H6mPD6ZH585zeyM7Jp3aklN4zqR6XqVm6Sw+Fg6NhbWDprNfP+WESFysmcccmJVKxa+o+1UUcODZ6UUkodkoLBIPeeM4KlM1YQ8PkBmDx2G7+M+4OHPr2bjpd2AKx8pWNOasoxJzUty+6qw4gGT0opFQMBf4DfP5nGt69OAmPocUtXul7dqay7dUibPWk+K+etyQuccgWDhqeufJFWHY+hcg29O660BXTaToMnpZSKtkAgyOCzHmHRtKV56wctnbmCL56bwJh5z+Bw6JfRgVgwZQnejOyw+4wxTPt6JhfcdE6Me6WOBPpfrFJKRdnMH+ax+K9lhRZeXLPwP758/vuy6dRhoGqdyjgi3DFoDORk58S4R4c/AwSRmGzlmQZPSikVZb99/CcmGGbJauDbV3+McW8OH2f1PQ23J/zyB06ngw4XtItxj9SRQoMnpZSKsvgkT8R9AV8ghj05vFSslsKoyQ8RnxSfr9wT76bP/RdTp2mtMurZ4UwIGEdMtvJMc56UUirKLru7Bz+981vYfV2v6RTbzhxmWp56FN+ljePX8VOZPXk+FatVoEu/jrRop3fWqeiJWvAkIvWBcUAtIAi8aYx5UUSqAJ8CjYC1QC9jzK4w53cHXgScwNvGmJHR6qtSSkVTw2Pq0fu+nnw66pt85TUbVafXkIvKqFfRkZmexUu3vc3Ur2aQk+2jeoNq3DTqSs68/JSotSkinH3lGZx95RlRa0NZrAcDl+98pFiI5siTHxhsjJkrIhWAOSLyM3AN8KsxZqSI3A/cD9wXeqKIOIFXgXOADcAsEfnOGLM4iv1VSqmouf6pfpx91Rl8+NgXpKWm07nvaXS5omOhZ6sdytJS0xlw9CDSUtPzyrav3cbT176GOByccenJpdpeMBjUOxVVmYha8GSM2Qxstl+ni8gSoC5wEdDJPux94A8KBE/AScBKY8xqABH5xD5Pgyel1CGr0bH1eeiTu8q6G1Hzyahv8gVOuXIysnn34U9KLXia8vUs3h7+BdvWp1K5Rgr97u3B+dd2QkRHRGIhoOnSscl5EpFGQFtgBlDTDqwwxmwWkRphTqkLrA95vwEI+1+diNwI3AjQoEGD0uu0UkqpEpn2zcyI+7au3V4qbfz1/TxG3/Ye3ixrGYJd29J4a9jnBANBTurWmoXTlpFSJYkTzmqF26NpvSo6ov4vS0SSgS+BO40xacX8ZRDuoLD3+Rpj3gTeBGjfvn34e4GVUkpFXWJKQsR91etVLZU2xo74Ki9wyuXN8PL2w5/z9kOf4XA5cDgEd5ybkd8NoXHLeqXSrrIYRHOeiPJSBSLixgqcxhtjvrKLt4pIbXt/bWBbmFM3APVD3tcDNkWzr0opFQ27t6fxwzu/8c2rk9i0emtZdyeqLr7jPFxhRnvE6eC6J/uWShtb1u0IW56TnUOO10d2hpfM9Gz27EhnWK8XMEZ/U6vSF7XgSawhpneAJcaY50J2fQdcbb++Gvg2zOmzgOYi0lhEPEAf+zyllDpk/PnNLK466i7euPcj3nnoU25q9wAfPP7V/k8sI/P+t4QhFzxNv5ZDGH7FK6xa+F+Jzj+n/5mce30XnG5nXv6R0+1i4CvXc+ZlHUqlj3WahMn0iBAgpe/KYOU/60qlXbVPEEdMtvIsmtN2pwFXAQtF5B+7bCgwEvhMRK4D/gMuBxCROlhLEpxnjPGLyO3AJKylCt41xiyKYl+VUqpU7d2dwdPXjiGnwBTT5899z8nntqFFuyZl0KdMls5eRVLFRI5u3yRfgvXUb2fz7K37col2btnNP1OW8MyEIbRo26hY9YsIA1+5nr73X8yyWSupVrcKR53YrFQTuQcMu5QnB7yON8u3r12HhF3B3eEQvPqIFhUF0bzb7k/C5y4BdAlz/CbgvJD3PwA/RKd3SikVXTN/mo/DWfjXc47Xx2+f/BXz4Omb13/m3Ue+wOVxYYJBUqpU4MlvBlO3aU2MMYwZ+mm+XCJjwJuZwzvDv2DUd/eUqK3q9aqWWo5TqEAgiNvjpHv/M5jx03y2bUjF7XGRlOwhbVcm/pzCq7W3OKFxqffjSGYMBDTnSVcYV0qp0rZ6wTr++nYWPq+v8E5j+OXDKXw/5ifqNK3FtU/05eTzo/sMtn//Ws57j31JTraPnGyrT9kZOQztOZqxC0aRkZbFnh2FlxgAmP/nMm475SG6XHEa5w7oTELyvkeh+Hx+XrvzPf79cxn+oCF1yx6C/iAndm/Nrc9eRfW6VUrtGratT2XIeSNJS92LMQaf14fx+cjanUbmNnAmJiBOJyZocLmdOF1O7n7tOjxx4Z99p9TB0OBJKaVKiTGG1+8ay8Q3f8aX7UM8cYWmrIwx7Nm2G4xh9YJ1PHrZaE487wSatG5E516n0ODouqXerwlv/VZo+tAYQ1pqOsvmrKZJq/o43U784Z6zZwwrF21k7UOfMnHML7wy/XESKySweuE6bmozBIxB4uJAJO9ap38/jyUzVjJ24bPEJ8WVyjU8ec1rbN+wk2AguK9rOJDERAR75WtvDp54Nx17tueqB3pSp2nNUmlbqYLKd0aWUkqVkYw9Gdx7zmN09/Shm7s3A099kB2bdhZ5zsKpS/jxnV/x2aM7xu/HGGPf8WXsskC+BGef18df38zk09ETue20YXw75udSv5Y9qelhc6oDgSCP9n2Fi2rdTNDnx+l25j/AGCs4EsEfgG0bdvD9W78CcFfHYdZ+hyNf4AQQDATJ2pvN75//fcB9DgSCzPn1XyZ/OJWF05azasF/+QInsHKsJPdPEcTlImdvFr+9/xt7d+894LZV0YJGYrKVZxo8KaVUAcFgkCsb38a8XxcS8AcIBoIsmb6c/s1ux5vljXjebx9NJTsjZH8wgMnJwQT8GH+AYI4XE/AXPtEY/L4AOdk+3hr6CTu37C7V6zntwnbEJRR+DExOto9d2/ZgDPiyfZhAIC9gyrcBOIScLB/TvplFTo6PzLRMqzxCMnh2hpdVCw7sTrct63ZwzfH38nj/13htyHiGXjw6/KhYASKCeDwEA0FeG/TeAbWtVHFo8KSUUgVMfONn9u7OKFTuy/Yx7pHPI54X/q4yA4EAJuDH6Yz8azrv1n6Xg1mT5pe4z0Xp2u906jSpQVyix27LukOtoKAvAMHgvi10uMp+nVKtAgQLlxcUnxhH45b1w+4ris/nZ3C3J9m+YSdZe7PJzsyx8puKu1yT/TmuKeEyC6p4rEUyHTHZyrPy3TullCoDcyZHDl7m/xF51ZSzrugYdoQHwOVx0easVsQnhskBcu1LPxUh7EKTByMuwcMLvz7EjU/0pm2nYznz0pNJDEn8DuVwOfDE52/fGIPx+4lPjKPnbd3wxHtwx9uJ2HaQFboYpcMhxCV56NzrlBL1c/WCdfRIvoodm3aF3W/svuS+LrTfGGv0DKhSp3KJ2laqJDR4UkqpAuo0qxVxX63G4R7HaWl1+tGcf9M5OF35c4ecbicpVZK59/07uG5kP1KqJuN0OazFXFwuJCR4CgYMJ5/b5qCvoaC4BA/nX9uZp769h/vfuYkmx4UfFXK5nHiS4vNymRDB4RQ8bidXPnwJJ3Q5DoBhnw/OO8d4vdbomjGIQzihSyte+uMREitEflxLOEO6PErAX8T0nDEYf8De/OzLJAsJqrzWtOlNz/YvUduq+AJITLbyTIMnpZQq4Kphl4ed1gK4YdSVEc8TEW557hpenzOK8284m8bHNaDJ8Q3pPeQi3lwwmio1K9Hz9nP5fOs7fLnjPa5/uj9xyYnEJ8YRnxRHXIKH+9+7heRKSdG6tDznX98ZcTmtICl3w8qD2pu61xpRsi4KV5yHhz+7m16De+Sd3+H8dnyw5lVadTyWitVTOKp9E95b8DQ/po3luhG9WTF3DeuWbCx2f7at30Faanr+PKsQTpcTh0MQpxNJjMeRlIjD5aRG/SpWUOXzEczIwOEQrn2qHx2ivPyDOrLpUgVKKVVAYoUERk0exsMXjcRrJ4C741zc9/4d1GxYfb/nNz6uIXe+cVPE/Q6Hg6SURHoP7kHn3qcya9J83B43Hc5vS0qV5FK7jkhysn28MfQzQPYtZZx751ww5I42O4jxef1MGv8nJ3dvna+e5IpJ1G1WkxVzVrFq7irGDH6fPbuyWDVvLYGcHIKBIDUbVufZ34YX+bnN+mkeLw98N+99MDsbR4I1aiUiGGOo3bg6VepWYeGM1XnHicuFKymRLzeMYO2i9QQDQY49pQVOp7NQG6p0GCj3d8LFggZPSikVRtuzWjEx/UPWLVqPz+enWZvorFRdo15Vzr/urKjUHcm07+eSnenN/9BcEStYyv2zgN3b0/K9DwaDDO48nP+WbMSfY91BOH3inELJSFvWbOW6lnfxwapXqFyzUqF6Z3w/h8cuH523eCcAgQBBrxeH200QSKkYz/CPB3LrWU/kO9cYw5Z1O/j85Ulc8+DFJfsQlDoIOm2nlFJFaNiyftQCp2jz+/xMfPs3BnZ6lIGdH+P7d38n4A+wdd2OfI9i2R9PvJsO57bNVzb/j0VsXrU1L3ACwmdxA95ML73r3MgTfV8gp8Cz5t4YMm5f4OR0gtOJIznZGnmy88EkLp4p387GlxNmmQcRvnh5Uv5AUEWR3m0HOvKklFKHJWMMD1/2AotnrMCbaQUs65ZsZPoP/3DRLecQF+8hKyPMmlUFghB3nJuqtStx/oAz85WvW7QhfDBTRH/++HQaG5Zv4vU5T+eVb1yxBdwunBUqWKNegWChPqTt3MsHT3wDblehdaWMMfiyvKxesI6mrRsVuz9KHYzyHdoppZQ6IAumLmXJzJV5gRNYD/pdOG0Znng39ZrXwh1X4PdzSGDicDqoXKMiVw29iFf+GEZSSv475+ofXafQit9hOZ1IfDyOxETE42HVP2tZ+c/avN2Va1fBWbGilQjucISdMszNe8q9o6+gYFZWiUbS1MEJIjHZyjMdeVJKqTKSsSeT9F0ZVK9XpdDyBgfr37+Wk51ZeGQpJzuHxdNX8PR39/DRsxP59bPpYKD16S3YvnYbG1Zvo1KNSvS8+Wy69e8YYeFPaHn6URiXC4e93pPx+TA5dgBj502Jy4XEx9tFYiWku938++cymrVpxHevT2ZPWjZ4ivf8u8CeNBwpKdYIFEAwSDA9HTGGFu2alPATUurAafCklFIxlp3p5fnb3+OvCXNwOp24PC5ueqoP5/Q7vdTaqFQjBXecC192/qk1T5yHyjVSSEiO57pHLuPa4Zdyd6dh/PLOvmfqBbOy6HBea0SEYDDI1nU7SEiOp1L1lLxjXhz0AY74kNEop9N+NEoA8fkxfh8SH58v+BIRDPD+iC8IBgO8fud7OJKTcIQGaA7Jv4K5zdirngd37963BpW9IGa7c1rjcuvXWSwYAwG9206DJ6WUirVnb3qbGT/Nx+f148MPmV5eufsDqtWtQttOxx50/TleH1O/mV0ocAJrBfHTLzox7/3zN73Bv1OX5jtm15bd3H7yUG5/9Qae6PsC2XuzQIQmbZvw1IT72LMjnb8mzs13johYyd7BoJU3Hm65AKcTESEjy8frd70HHg+SnIwJhCyJ6HRC0Or3vik6gzid+/LRQ5ZTEIcw8LXri/3ZKFUaNHhSSqkY2pOazoyf/sHnzR/YeLNy+HT0xFIJnj4d/T2Lp68oVO6Jc/PUt/ewac02Vs5fR80G1fjlg/+FrWPr2m08fH7+pQFWz17BNcfcxXUj+0V81pw73k1Ojg8kJKXWIeC2pvdEBIfTAR43eDx5U3zG3iciGJcT/AGM12s9bsXvR1IqQFISZGbm5UW549w8MH4QdZpGXhFelb7yfidcLGjwpJRSMbRr6x5cbleh4Alg2/rUUmnjx7H/y79uki0QCPLeiK9ZMnMVAA6nhO1HUbJ2p7N+2UY7Ryt/Gy6Pi9POb8PvH06xRpKCBuMUxO0uPH3ndOZNu+EPAMYqs98bv9/a77dHodLS6XhFJ5qf0JhKVZNoeFRtjj6pGQ6HfpGr2NPgSSmlYqh24xph7xhzOB20OrVFqbRRcC2lXEEDi2eszB9YFVxVvBgWTV1sPZuvAKfLwQ2P92bzso0snbXKWsC8YMK5/V5CPgPjckJOjh1E5R5mB1h28FSjQTWGfXhbifqpVLRoyK6UUgdo55bdzPzpH1bNX1fsRRrjEjz0f/Bi4hI9eWUOhxCfGEffIT2KOLN4Vi34j6y9YdZvwsohKjgilXs3XEkkJMUx6rt7qF63CvFJcSQkx5NSJZnh42+nWp3KvPjnY3Tud7q19EDoypkuV95CmLhcec/TAwrlSJkCz7hraz+QWJUtgxA0sdnKMx15UkqpEjLG8Ma945n41m+441wE/UHqNq/Fk98NoVKNivs9/5Lbu1GzYTU+eXYiO7fu4fjTjuKqoT2p3bjGQfft6RvfIhAygrM/DrebYFISeLNxCKRUrcCAx/rw8dPfsnnl5rDnXP1IL5oe14BxC0ex+t/1+H0Bmh3fIG+5BRFh7h+LrYMNVk6Ty2VN5eW7s84R8UHAYC1/AOB0O7nx2f7Fvialok2DJ6WUKqFfPprGD+/+gc/rw+e1vuDXLt7AE1e9yjOThharjtN6tOO0Hu1KtV+7d6SxadXWws+nE9m3heFwucBdgZO6Hc9jH98BQIcL29Gr9o2FApumbRpy/BnH2tUKTY9rELbOQOjq4y6XlSCetzO47zl6uQFUILhvjMoYgtnZYAxV61blpWkjSKkc/Qcmq+Ip7wtYxoIGT0opVUJfv/wT3gILUAZ8AZbMWMGurXuoXHP/o0/R4HQ6MbkhyH4CpnBCn1NXuUYlJu79gFFXv8LsSf8Ql+BhwBN9OffaLoXymOZPXcoHT37NxpVbaXhMXWo3qEL6llQcFSogiYngyZ8wjtNhJYMbe2DKm4PJykJMkHOuO5tNa3ZQq0E1LhvYjSat6h/MR6IOYyLyLnABsM0Y08ouewS4AdhuHzbUGPODve8B4DogAAw0xkyyy9sBY4EE4AdgkNnPPLwGT0opVUIZezLDljudTjLTs8oseKpQOYmjT2zK4ukr9z06xR7hMX6/NZoTCIDDgcTF4fDYeVcixCd6OLvPKfnqi0uIY9hng4tsc8ZP//Dk6OnqawAAIABJREFUNWOsx6OIkLptCSY9HYBgjg9nJXfhpHEAhwPjD1iBU04Oxhji4lzc87qu2VSeGShP+UhjgVeAcQXKnzfGPBtaICLHAn2AlkAd4BcRaWGMCQCvAzcC07GCp+7Aj0U1rAnjSilVQief1xaXu/AikPFJcdRucvB5SwfjvjdvpFqdyiQkx+OOc+4LnDIy9i0NEAxisrOQgN8KnJLiOP70ozjzkpNK3N6Y+z7Gm+2DxARITrJWDK+YgsTF4ayYEv4kEQxi3eWXnW2V+f1ceFv3A7xqdSQyxkwBdhbz8IuAT4wxXmPMGmAlcJKI1AZSjDF/26NN44Ce+6tMR56UUqqErrjvQv78eibpuzLJyc7B4XTg9ri4a8z1Zb7uUNU6lRj0Qn9mTZ5PfFICTY5vwAs3jSE9o8CBBhwBHxcOPJeTzjmeNmccjYiwcdVWxo/8lsUzVlKzYTX6DL4g4sKdfp+fLeu2Q1LyvmUJRCAx0Xo0S4Q+GmPA78ekWSNUxu/nuDOO4fqn+pXeB6GiJoaLZFYTkdkh7980xrxZjPNuF5H+wGxgsDFmF1AXa2Qp1wa7zGe/LlheJA2elFKqhCrVqMgbc0bywzu/Me/3RdRqVIOet55Do5Zlm5+TumkX95wzgl1b92CMwQQNbc9qZa3SHY4x9B7UnUrVrWnG9cs3M7DzCLxZOQQDQbas28HSWasZ+OLVdOl9SqHTnS4nrgqJ+Ez+9ZzyTdP9n737jo+qzBo4/jv3TklCR0BARFDBBoqKBVBBVFTsiopr17V3d9ey7quurrv2gr2jq2Lb1cUuWLCiglgQFcUG0ntJMuXe8/5xZ5JJMkmGMpOQnK+fMTPP3Jk5w4cMZ57nued4XlCGIDWW3kqiZeW4xVHadWrNDS/+iW69u66jPwXThCxU1f6r+Zh7gWsJVhivBW4BToGsubzWMV4nS56MMWYNtGrXgqP/fBBH/3ntajMtX7wS13Vo0aZkrZ5nyfxlXHfcKOb+sqByvxMw5e2plLSIsHJJ9amnoDBny7YtAChfFePRq5+nvDSGZjTmjZXFuf+yMQwZsQuuW3XGQUTYqFcXfv1hPtXuqLye9IJ9V24omJ3yfbSsnEjYZfDhO3HW9ces9Xs3BdTIazCp6rz0dRF5EHg5dXMWkPntphswOzXeLct4nSx5MsaYBjDjq9+4+cyHmPnDXFBlmwG9+Mv9p9Gha7vVep5fps3i+lPvZ9YPc0msrLmRPVYWp7hFhGhJhFhpZeXxaEmUwy88gEVzlnLLWQ/zzcfT8bzsX7hjZXEWz1lKx27ta9w35LCd+PfNr+L7GWf5Vef54MUJhV1OvuIQDjt9aOrQxvuPsFk/iUgXVU0XKDsMmJq6PhZ4SkRuJdgw3gv4VFU9EVkhIrsCnwAnAHfW9zq2YdwYYwps2aIV/GX4Dfz8zSyS8STJhMfXH07nz/tfj+fl3ipl1fIy/rzf9fwy7XcS8dp71DmhEBfefwZtN2yL27YNoY4dCHfqQKh1Sy7c6x9M/Wg6XtKvtVil7yst22afHdr/2IEUt4hSY6UjVPnd3A25hKMhhh0zkMNOH1rRANisf5SgzlMhLvURkTHAx8AWIjJLRE4FbhSRr0XkK2BP4CIAVf0GeBaYBrwOnJM60w7gLOAhgk3kM6jnTDuwmSdjjCm4cU9+SDJZNdnxPZ9lC1cw5Z1p9N+7T07PM+E/n5BIBM8jImj14phAKOwy6JD+7LD3dmir/+FIOeor5aVxnh31Jn4iWWWZr6J4ZUqkKMzgw3emuGX2Ni5t2rfk9pcu5qKDb2Pl8rLKO0QgFCIUchl8yPYcd/H+dO7eIaf3ZUwuVPWYLMMP13H8dcB1WcYnAbn90qXYzJMxxhTY7zPmES9L1Bj3PZ/5Mxfm/DzzZi6qshSXOdsDQemEDbq24/j/G8HYh98lHktU2c+UTHj4StUecwCqhCLBbNHAA3fgvNvqbo3SbbMNefLza2nVrurslDgOxa2LOOuaEZY4NSHW285mnowxpuC22nkz3nluIuWrqjXwFdh8u03qfbyqMv3zX4hEwxS1iFY8jzgOGokQcmC73bdkt8N2YujIQRSVRPlu8s8kYtWW9hwnOBMuXSwzkYBEkmjE4eSrjmCvowbQqn1ubVEi0TAPvnsFd17+LBPHTUV9pc/Om3H+DUfTonVxTs9hzPrCkidjjCmwwYfvzFM3vsTCxGKS8WDbRaQozNY7b07vHXrW+djfvp/N3464jRWLV4IjxEpjuCG3ohlwtDhCr349uG7sJVX2FXXfsgtTP5lR2TRYpKKEgKTLB4TDSChEXIQF81fSsl0LfN9nyoRvmT7lFzpu1J7dDtqBopJo1tjatG/J3+4/Bc/zUV+zFhI167dGVmG8wVjyZIwxBRYtjjDqnf/j8ete5IOxkwiHQ+x7wu4cddHwOh/neT6XH3Izi+curbK1SVVp16kNkaIw+xw7iKMuHF5jQ/ahpw1l3JiPK5OndO2ljCcSqNjv9OoTH7F1/015btRr/PLt78TK4kSLI9z/t2e55ZVL6N67S61xuq4DljeZJkzq6X23Xunfv79OmjSp/gONMWY99OX733H1yFGUrSyvMu64DvudsAfn31733qRvJ//MnX95il+/n4PvukDNDeaZBEUSicqEiyC36rl1N+6ZcOVavRezbojI5DUoJLnG2m7ZSQc/dFRBXmvs7ncX9L2tDpt5MsaYPJr5wxw+e/NrItEwux2yI2071tLvLQcrlqzKWkbJ93yWLFhe6+NWLS/jnRcmMefXhRx94f7ssMeW/PPs0XzxwfQ6X089xU9WLZ2gCjN/nMviecto30ANkE3DsmU7S56MMSZvHv3787xwzzh8X3FdhweueJpLHjyd3Q7ecY2er8+AXsRjNc/SExG2H7JV1sf8+v0c/nz47ZSXxUnGPdyQQ4fObbnolmP5dvLPVc/Wy6QKvheUQFCoXsepKa1aGLO6LHkyxpg8+PazGbx433ji5UGykz7P7abTH2T7wVutUUuSNh1aUdSymJWLV1YZV2D2TwuAoN3LW89/wuyfF7L1Tpvy3L1vsXJZZf0lL+kzb9YinrnrDW549jxGX/8S337+C/GyeFDGIL0PSjWoDF6NSFCaYIPObVc7frP+Uxp/GYFCsOTJGGPy4O1nPs5ay8lxHT4b9zVDRuyy2s+5cPYS4rFkUGLATyU2IiDChy9PYZ9jB3HJYbeRTHjEyxOMe+ZjYvFsFcuFKe9/z5UPbci/xpwDwF+PvIMpH0wHJHhuv/JxIoKiFJVECUdCXPbgaasduzFNiSVPxhiTB0HV7mxLW7rGS17haLhydsitejpbpCjMTeeMpnRF5WbyWGm88qy6GoRpn81ghyFbA/DztN/B87KGPOigHei5dVc6btSePQ7ekaIW2UsVmOYhl9YpTZ0lT8YYkwdDRuzCW09/THlp1UKYyYTH9qmEpep4kg/Hfs7kt6fSYaP2DDt2NzpvUrUqd9sOrejVbxO+m/xzlZYq0eIIex65C8/c9WbNQFRRqjbhVVVCQpUkqH3nNixduALQKgmUE3L406gTam3PYkxzZO1ZjDEmD/oM7M0+fxhEtDiCOIITdsF18Xw4YbvLuPeyMRXNfMtLY5y929Xces4jvPnEBzx72yucscvfmDT+6xrPe/lDp9OhazsiRWEcVxCBth1aUtKyqErrlQqp5TdVrbigSuu2RWy5Y2VBzmMu2p9oSSSYpXKCS6Qkwt4jB1jiZCqptWcBS56MMSYvRIRzbjmOm1+7jH1P2ANJLbP5vhIvT/Da4+9zx4WPM+vHuZzY9y/89t1sYmXBmW/JuEesLM6Npz1YpcYSQIeN2tF3YC/QoIyA+sq83xbx0JXP4SW8GnWbVBXicUgkcFGiIaF1qwjXPXsBTkZPu90O3IGTLj+E4pZFFLWIEo6G2OPgHTnn+pF5/pMyZv1jy3bGGJNHvbbvwbJbXsGvlgTFyxO8+99PmTz+a5YtXJn1sYl4kp+mzqJXv6Dfne/7vPLYB0x4aQrJan3qfM8HxwmW59LtVtJ3quI4sNvw7Rj2h4H0231L3FDNEuCHnj6U4SfuzvxZi2nXsbX1pDM1WHuWgCVPxhiTZzOnz8layNt1hNIVZTXvSPF9n2hxGICFc5dy6VF3Mf/3JSTFhRYlkExCeSzzAVU2kguV9Zgi0QgHnjyYvgN71xlrJBqm22Yb5v7mjGmGLHkyxpg822LHnsz+eUGVTd4AyaRP2K1990SHLu3YONVD7vpzHmfuzEX4nlZs/tZQCMI+JNIlEbLPCESLI2y5Y0/6DOi19m/GNHs282R7nowxJu9GXnwAkaJwlbFoSYR9j9utRkKVVtKqiKvGnIeIsHTRSr7/8ld8r+r0lYhAOON5q/2bphokWidcfgjXPnN+jWbBxpg1YzNPxhiTZxv36sytr13Kg1c+x7ef/UTr9i0Zcd6+HHTqEByB8U99VFHSwA27tO3QinNvPY7WG7QC4NfvZwebwbMJ1uZS+5zcioQJwA25HPvnAzji7H0K8C5Nc2AVxgOWPBljTAFs2mdj/vXfi2uMn3PzcfQduAUvPfw2q5aWsmJZKcsXr+Kmsx4lEUsw/OQhvP3fzyqLY2ZQ1WDJLr2hKp4gVBJFXBc35LLVTpsx4hxLnIxZ1yx5MsaYBpRMeDjhENsP7ct7L37G4gUr8FPtVXAcXh79Pk7IgYRXuUSX2X8uWXnWXbQkwvF/PZRoiyJ699uE3ttvYkt1Zp1Tm3my5MkYYxrK0gUruOiAG1m2aCVlq2KAouKA40M0CiJ4ZLSZi2e0W/F9xPdR14Wkhxt26TOgN0ecO8wSJmPyzJInY4xpIPdf9RwLZi/NKIQpgEJRUNG7ShLkusEsk1dt75NI0CjYdTn7puMscTKmACx5MsaYBvLRK1+QLCuHdPLkOhCJAGRPghwnYxoqIACRMKGiCJPe+YaNNuuU36BNs2eNgfOYPInII8CBwHxV7ZMaewbYInVIW2CpqvbL8thfgBWAByRVtX++4jTGmIYSX1lWmTgBeD4kklUKXVYQqbFhvMrdjhCO2PdhYwohn79po4G7gMfTA6p6dPq6iNwCLKvj8Xuq6sK8RWeMMQ3op6kzEVVqFB73vOyzTqo1Zp0qiKCqDNy/xndRY9YpVSuSCXlMnlT1PRHpke0+CT4ZjgKG5uv1jTGmMVq1vIxnRr3BG099CJEwxKvtY1Jl4x4bMHf2UhJxr2Iss79Lp403YPHcpTghF8cRfF+56LbjaNuxVYHfjTHNU0PN8e4OzFPVH2q5X4E3RUSB+1X1gdqeSEROB04H6N69+zoP1Bhj1pV4eYILh9/IvN8WkYgnAYFwKNjLlGqxEikKM+SQHejUoxO3Xvwk6vlVkqdoSZRDTtuTPQ7ekU/HT8V1hV2GbUvbDpY4mcKwUgUNlzwdA4yp4/5BqjpbRDoB40TkO1V9L9uBqcTqAYD+/ftnab1pjDGNw/svfc7COUtTiVNARFDXAQ2BI/ji0HfQFvQd2JuJr3/JpLe/IVYWJFZuyKGkVRH7HjOQFq2LGX78bg31Voxp1gre205EQsDhwDO1HaOqs1M/5wMvADsXJjpjjMmfqRN/pHxVLPudroM4Dp7C/x17N998OoPL7juVYy4aTseN2tG6fQuGjtiFO9+8jBatiwsbuDEVgvYshbg0Zg0x87Q38J2qzsp2p4i0ABxVXZG6Pgy4ppABGmPMuvbt5J/4bsovSMitXIpLEahyJl2sNM7dlz3NPW9fwdHn78vR5+9b+ICNMbXKZ6mCMcAQoIOIzAKuUtWHgZFUW7ITka7AQ6o6HNgQeCF1tkkIeEpVX89XnMYYs64sW7yKGd/+zgadWrPxZp0Y+9C7PH/veBbPX44i6Swp2OMEwUZxzb7b4Jdps/A8H9ct+AKBMXWyPU/5PdvumFrGT8oyNhsYnrr+E7BdvuIyxph1TVV59ObXefGxD3BdwfMUByW2aFmQHDlOZeIElb3pHKdmxfCUopIojmP/SBnTGFlFNWOMWUsTXvmSFx97n0TcI5EeVIXiIigty17gMn07S9VwN+RwwEl7WKsV0+goVucJGmDDuDHGNDXP3vdOZU2mNJHKJr61SR/jVP0oHji8HydefkgeIjXGrAv1zjylCloeC2yqqteISHegs6p+mvfojDFmPTB/9pLa70wv0aWvZ7s/FKqo5RSKhrn8gT/arJNpnLTWbXrNSi4zT/cAAwhqM0HQc+7uvEVkjDHrmXbtSrL/i5JuqeJnFrqs5V8eEcJFEfYasZMlTsY0crnsedpFVXcQkSkAqrpERCJ5jssYYxqdZMLj5cff57WnJuIlPfY8bEf2GzmAHpt1ZNavi4KDMmeayjNqOqnP5n02pnWH1vz49UzKyxPEU8UvRSAcDdNr240546rDC/yujFk9Ppbc55I8JUTEJfV1SUQ6ArV0pzTGmKbr2tMf4cuPpldU/H7mrvGMGTUu2LK0qhzCYQi54CvE46A+uC4dOrfhH0+ezSZbdgWCNi0fvPoFv3w3h5KWUTp0aUePrbqyeZ9uDfjujDG5yiV5GkVQ5buTiFwHjAD+lteojDGmkZn+5W98+dEPFYkTUNFmxYNg43ciESRN6bPrnGDD+PJlZfh+5XJdpCjM0MN3KvA7MMasK/UmT6r6pIhMBvYiKFJyqKp+m/fIjDGmAa1YVsqvP8yjY+c2bNitPd9+/gu+X8eke/rMuSySiSRv/ecz/rj1RnmK1pjCUKxIJtSRPIlI+4yb88moCi4i7VV1cT4DM8aYQvM8n8lvf8P//v0RX03+lUg0RDLhsfWOPdjnkO0JhVwSsWTNB6YTp2Qy68Zx9ZV4PMvjjDHrpbpmniYTJJmZKWb6tgKb5jEuY4wpqMXzlvGnA29i0aJVJNwwiJBMBLWbvpn0M0XFYaLFYcpL42j1BMlxKksOJBI1njtaHGG34dY4wTQFjb9pbyHUmjypas9CBmKMMQ3p9gv/zYJZi/GKS2rUY0rEPSa9N51Be27B+y9/UXVyqXohzGoVw6PFEfY4aAf67rp5nt+BMaZQcmrPIiLtgF5AUXpMVd/LV1DGGFNI8fIEn787DS/pQy395JIJjwkvfVG5LJeebcpMnKrd3rxvN864+gi22XlTq91kmgwrkplbhfE/AhcA3YAvgF2Bj4Gh+Q3NGGMKw/e1snZlIgmRcM1q4FqttHK2fnXpYxyh/+CtuPLhPxKOWAtRY5qaXH6rLwB2Aiaq6p4isiXw9/yGZYwxhVNUEqH3Dj34btLPaHk5hFMfjenkSDVIqjJVb7mSqh5+yMl7cOipg+ncfYOCxG5ModnZdrm1ZylX1XIAEYmq6nfAFvkNyxhjCuviUSfQsk0x0aIwLF+J63u4Aq4QnEVXvUxBRssVQSlpEeFv957ImX8/3BInY5q4XGaeZolIW+BFYJyILAFm5zcsY4wprG6bd+bRydfx9nOf8PuMefTcphuP3fwqSxavqvUxJSURHpzwVwRo26GV7WsyTV7wfcH+nudSJPOw1NWrReQdoA3wel6jMsaYAvOSHvFYkvad2xCPJ5k/eyllq2Lg+UHLFSFou5ISCrvcNvYi2nds3XBBG2MaRC4bxncFvlHVFao6QURaAdsDn+Q9OmOMyQMv6fH0Ha/z8qPvsWplOR027siiRSuJL1kBKI7j4LhOUOfJcYIEynWCM/FUKW5VxO0vXkT3zTds6LdiTMFZnafclu3uBXbIuL0qy5gxxjR6sbI4c2cu4ombXuGz8V8HferCYebMXgrl5RWbwH3Px/dSe5x8P9gUnvRAhEhRmIuuP9oSJ2OasVySJ9GMcrqq6ouInXtrjGmUykvjzJm5iA4btqFV2xIAVJXn7h7PmFFvVBxTsQE8Eg5+erX0rcsoTxAOu3TZuD0D9t02b/Eb09hZnafckqefROR8gtkmgLOBn/IXkjHGrD5V5cm7xvP8gxMqltz2GL4tF/zjCN5/eQpP3fEGsbJ45QMcJ2inUnFbquxpSosUhWnXpR1e0mfIoTsy8vxhhMLZGwAbY5qHXJKnM4FRwN8Iysi9BZyez6CMMWZ1vfn8Zzz/0ARi5QlUBFyHt1//mng8ya9f/Vo1cUpLzz6JQHExlJZV+VodCrsMPWJnLrjl2AK9C2MaPzvbLrez7eYDIwsQizHGrLFnH3iXWFkCDTnB2XGAD7z39reEPC+3JwmHIF7Z2LdD13acfMUheYjWGLM+q7dIpojcKCKtRSQsIm+JyEIROa4QwRljTH1832flslIWLViBuqnEKd06JXVJui7q1PNxJwLhMEQiEAoRalHMP587n9btWxbmjRhj1hu5LNsNU9VLROQwYBZwJPAO8EReIzPGmHq88fREHr3+JZaviqOhUFBOoDaREJRXW7oLhaq1V6FiH1RR62I6dW2Xh6iNWX8pYst25JY8pU5FYTgwRlUXWxVdY0xDe/+VL7j3yueJxZJQUlyzSW91kpFYCRAK10y2UvlTtDjMqZcdgBuyjeHGmJpySZ5eEpHvgDLgbBHpCJTnNyxjjMkuEU+yZOFKHrvpFWLqBIlTmq/BWXPZ+H6wLJdMBrNMIhWzTeIIbdq1RBzYcKP2HHPu3uw8dOsCvBtj1j+NpVKBiDwCHAjMV9U+qbGbgIOAODADOFlVl4pID+Bb4PvUwyeq6pmpx+wIjAaKgVeBCzJLNGWTy4bxy0TkBmC5qnoiUgrYDkpjTEGpKv959H2euvcdfN8nVhqv3N+UIoB6CtUnjMoTiBIc67pBAuUlabdhW7basQf7HLETu+y1tfWmM2b9Mhq4C3g8Y2wccLmqJlO5y+XApan7ZqhqvyzPcy9BFYGJBMnTfsBrdb1wTsUuVXVJxvVVBFXGjTGmYMa/+DlP3P1WUBUcal2mE1U0qUEmlfQhmQwSp4oDgseFIiHOvPJQ9jgw22epMSarRtQYWFXfS80oZY69mXFzIjCirucQkS5Aa1X9OHX7ceBQ6kme6j3bzhhjGoMx971TmTjVRRVRRWJJJFEtcUrdD9B/z63YbbhVCjemEesgIpMyLqtbY/IUqiZBPUVkiohMEJHdU2MbEZwMlzYrNVYna7NijGl04rEE778xlRnfzqb7Zp0YvP+2LF64IrcHq0I8Wet9xcUhzr52JHsdsZMt0xmzJgq36WmhqvZfkweKyBVAEngyNTQH6K6qi1J7nF4UkW0I5qirq/cd1pk8SfDJsjNBFqbAbODT+jZSGWPMmlqycAUXjryX5UtLKS+NU1QcZvTtb7Jxz478OG127Q9MfywlshTEFNigU2uOOmsoBx0/yJImY5owETmRYCP5Xul8RVVjQCx1fbKIzAB6E8w0dct4eDeCXKdOtSZPIjIMuAf4Afg940k3F5Gzq60rGmPMOvHgja+xaN5yvFSj3vKyBOVlCcpWxQhHXBLxjORINdj8LRI09vX8oGddihtxOei4gZz8l+FEouHqL2WMWQONZc9TNiKyH8EG8cGqWpox3hFYnDrxbVOgF/BTqvzSChHZFfgEOAG4s77XqWvm6Q5gb1X9pVpgPQl2o2+1mu/JGGPq9fHb0yoSp0yxWBI36uK4gu8pJD2Ix4OEKVOqqng4EuLB8ZewYbf2BYrcGFNIIjIGGEKwN2oWcBXB2XVRYFxqhjldkmAP4BoRSQIecKaqLk491VlUlip4jXo2i0PdyVOIqpuo0n6nsnCmMcasU05tdZoAz1NAoKwMSdbSr873ibYo4rQrDrLEyZg8aCwbd1T1mCzDD9dy7H+A/9Ry3ySgz+q8dl3J0yPAZyLyNDAzNbYxQZPgrMEZY8za2nmPLXj3lS+rlCJQCLZ1ilDvXk5HuOrBk9l+UO88RmmMac5qLVWgqv8CjiX4yBoADExdPzZ1nzHGrHP9dtk0KP5N5QWo2krFrb1tSqsOrek3sFceIzSm+VKCPU+FuDRmdZ5tp6rTgGkFisUYY+i+eSciKOVJDyLh1B4mKtupxJIIEjTwTVYrSRAOsf/Ru9jZdMaYvKp15klEWorINSLyjYgsE5EFIjJRRE4qYHzGmGZmy36b0KX7BoTUh3hGUUxViCUgkUz1qQtBNBIkUaEQRMKEQg77jtip4YI3pqlTQKUwl0asrgrjTwI/AfsCfwdGAccDe4rIPwsQmzGmiVFV3nr5C04/bBRHDf4XV5//BL/OmF/lGBHhX0+eRb9BvZFEElaWwopSWFGGJLzKinbqg+dVXMICffr3pGuPDgV/X8aY5qWu5KmHqo5W1VmqeitwsKr+AJwMHF6Y8IwxTcnTD73HqGvH8ttPC1i+tJRP3pvOhcfdz6xfFlY5ru0GLfnH6NPp0LUdkv4vYymuqCTCtQ+eSqfObQhHQoQjIQYM68P/PXBKod+SMaYZqmvP0yoR2U1VPxCRg4DFAKrqi20oMMbkIBFP8vwj7/Hf0R+yamU5vmqw8Tv1EaKqxMoTPPXAu1zyz5r9O0eevRcP/vOlKj3tosVhDj5hEP2HbMnoj65k2aKVFJVEKCqJFux9GdOcNZZSBQ2pruTpTOAhEekNTCVosJeu0nl3AWIzxqznrj3/ST7/8IeqRS+TPoQqEyjfV777ambWxw//wwCWLlrJc/e/g+M4eEmPYUfuzAkX7wcES3xtO7TK+/swxphMtSZPqvoVQV+76uMLCPY/GWNMrX76bg5ffjqjSuJUUaVJtUodp861FLMUEY49fxgjTt+TBbOX0r5TK0paFuU3cGNM3Wzmqc49TzWIyMv5CsQY07T88M3vWT9kBcCvvCNaFOaY0wbX+VzRojDdNu1oiZMxplGos85TFhvlJQpjTJPTqWvbrONBtfBg1skR4aiTdqPvjj0KFpcxZm00/gKWhbBaM0/AlLxEYYxpcnr36UYinsw+wy9A0sOPJ3n+ofdYMHdZgaMzxpg1l3PyJCJh4E4R6ZTHeIwxTcTkD6YTLQp6iFdpteIK+IpokEPFYgleeXrfuLVTAAAgAElEQVRiwwVqjFk9WqBLI1ZXhfH7RGSb1PU2wJfA48AUEcnWydgY00z98sNcHrn1de7718t8MfFHfN8nHkuQTPpBZ5WMY8ULEqc09ZW3x35R6JCNMWaN1bXnaXdVPTN1/WRguqoeKiKdgdeAMXmPzhjT6L34+Ic8etsbxBMeviO88NynAETCLolkZUXwysrgVc+0Q5XF85axZOEK2lnZAWMaN8X2PFH3sl084/o+wIsAqjo3rxEZY9Ybi+Yv55Fb3yAeS+K7Ulm/SYR40kejocrSBJmXtNT1SMRloe17MsasJ+qaeVoqIgcCvwODgFMBRCQEFBcgNmNMI6WqqCqT3p+O60rwTSujcniVY0OCxP30A4O9DJlf2zwfL+lbTzpj1heNfD9SIdSVPJ1BUAyzM3BhxozTXsAr+Q7MGNP4JBMeo+99i5ef+4zysjgdO7XGh6qbmjKJgOOAnwSCz9yK/Co16+SGXA47eXdaWA0nY8x6oq7kaZiq7ld9UFXfAN7IX0jGmMbqtmv/x/vjpxGLBb3m5s9bXve3UFXw/apjIqnx4JSaUy8/iENPHJS3mI0x65rteaprz9NatScXkUdEZL6ITM0Yu1pEfheRL1KX4bU8dj8R+V5EfhSRy9YmDmPMurFk0UomjJtakTiliSM4kRB4ftaOoRL3gCDH2nSLzrgCjuexdb+Nue/liznspN2wXuPGmPXJ6lYYXx2jgbsIyhtkuk1Vb67tQSLiEjQe3geYBXwmImNVdVq+AjXG1G/u7CWEIyESqWQoTVVp0bqIVQtWor5C2A3u8BWJJcDXYHIq5HLz02cTLQrjez7hSD4/fowxeWN7nupMnrYVkeVZxgVQVW1d1xOr6nsi0mMNYtoZ+FFVfwIQkaeBQwBLnoxpQJ06t6VsVbzGuIhQurw8qOfkKXhJfN9H0rNQjoBAx06tKGkRBcB1V7e5gTHGNB51fYJ9raqts1xa1Zc41eNcEfkqtazXLsv9GwEzM27Poo6eeiJyuohMEpFJCxYsWIuwjDF1mfDql0iWpTn1fTSerDLmOA6SvogQch3OuPzAQoZrjDF5U+ivf/cCmwH9gDnALVmOybb5odZJQlV9QFX7q2r/jh07rpsojTE1vPrMp2gsCUm/sl6T50MsWetvqACRkMPIM/Zkt337FjReY0yeWHuWOpftnlvXL6aq89LXReRB4OUsh80CNs643Q2Yva5jMcbU75cf5zF75mI22bwTq1aUBUtzST9IoFIUEFfAq/ppF46EuOyWkfTt35NWbUsKG7gxxuRRXclTFxEZVdudqnr+6r6YiHRR1Tmpm4cBU7Mc9hnQS0R6EhToHAn8YXVfyxiz5kpXxbjywieZPm02ruuQTHq0KIkGiVK1YwVwwy5IUOwSIFoc5oxLD2Dg3tsUOnRjTD4pYO1Z6kyeJq3NE4vIGGAI0EFEZgFXAUNEpB/BH/8vBIU4EZGuwEOqOlxVkyJyLkEtKRd4RFW/WZtYjDGr5+4bXuG7r2eRSFSeWZdMeGjIgVSz3/Q8U7gkwl9vHsnk977ny09+okPn1hx16mC2H7h5g8RujDH5VmvypKqPrc0Tq+oxWYYfruXY2cDwjNuvAq+uzesbY9ZMMunx7ptTSSaqliTwfYWQE8w8qSIK4eIIw0fsxIAhWzJgyJYNEq8xprCylHNrdqzQijHNUCKRZPLHM1ixrIxt+/dgwy5tAXjnlS+5/ZoXg8SptsKVSZ9DThxEtCjMoL23ofc2tZ4Ma4wxTZIlT8Y0Mz98N5tLTn+UZNJHJOiecuCI/vTo2ZHbr3ox2MQUynIibqqligLx0jhnXnpAoUM3xjQGNvNkyZMxzUEi4TH6/ncZ+8IkykvjwbJb0kMUUOWFJz8ODgw5kPCCS7pSeLoXHSAJDwHmz1naIO/DGGMag3qTJxF5lCx5pqquVe87Y0zh/OuqF/jk4x+Jx5IVy3EaDkE8GexhSi/RCRBxg9pNCT9IptQHT5GMjeI7DurVMG/EGNPw7Gy7nGaeMmsxFRGUGLC6S8asJ+bNWconH/1IPLMKeGo2SV0nqBpeXcgJ6jn5qVmnjMTJdYQDRu5SqPCNMabRqTd5UtX/ZN5OlSAYn7eIjDHr1MzfFhEOu1WTJwgSqGybwtPjqSU9fK1InETgxsdPIxINFyByY0xjJLbnaY32PPUCuq/rQIwx695vPy9g8fwVNRMnqGyxkm3c12AJzw+uO45Q0rKIe148j46d2+Y9bmOMacxy2fO0gqp7nuYCl+YtImPMWlu1opwrL3qKH6bNJhR28OIejusEtZqgcgO451VOKVUZ9xGFohYRunXfgJ0Gb8Fhxw+yNivGNHfrQd+5Qshl2a5VIQIxxqw7t/1jLN9PDSqEx2LBZ50TDSMiqB809pW4h6STqXRlAl+DM+oUHFd4YOwFNtNkjDHVZCnmUpWIvJXLmDGmcSgvi/PxhO+qtFYRQGMJpDwebP72FPH9im+RkvSDpCkezEQ5rnDKxftZ4mSMqUaCs+0KcWnEap15EpEioISgN107KvuBtga6FiA2Y8waiJUnar1PIUiaSJUqSC/bAfiCqA8C5/39MPY7vH/+gzXGmPVQXct2ZwAXEiRKn2eMLwfuzmdQxpjcqSpfffEbM6bPo8tGbenVe0OcbGfRqSLpGk+p27gu+D6KIA5oyGGv4dta4mSMMXWoqzHwHcAdInKeqt5ZwJiMMTkqK4tz6flP8vNP8/GSPqGwSyKWQMpi4KRW5TMqhOP54Eiw90k1uM9xwPdp064FI0/ejcP+MKDh3pAxpvGzDeN1LtsNVdW3gd9F5PDq96vqf/MamTGmXveNGsd302YHiRBBGxZUIRzGiSXAdSpLEqQ/8JSKRXjHEXYbsgWX/uMIwmHr1mSMMbmo69NyMPA2cFCW+xSw5MmYBrR40UpeGzulZqkmkaCtSozKs+kyBImWsPOgXvzthqMoKo4UJF5jTBNhM091Lttdlfp5cuHCMcbk6vkxE7PWuExTEbKer6LBjNPZfxluiZMxxqyBXEoVXCAirSXwkIh8LiLDChGcMSa71175guef/iT7naklumyJU7oe5qFH7kTXjdvnM0RjTFOlBbo0YvUmT8ApqrocGAZ0Ak4Grs9rVMaYWn3z9Szuuv0NfNXaP198RUNO1c8gVUSV1sURjv7j4ILEaowxTVEuO0TTX2CHA4+q6pci2c6DNsYUwn+f/zToVecAXtX7VBVJzzq5LiqCq0ok5BIWYdchW3DiBcNo275lA0RujFnvKY2+gGUh5JI8TRaRN4GewOUi0grw8xuWMSaTqvLy2CmMeeJDFsxfHux1EgFH0YzfRoGgmW/FgBAtDnPtqOPou/0mBY7aGGOaplySp1OBfsBPqloqIhsQLN0ZYwpkzJMf8dTjH1JevXq4IyDpZr9AzK+618kPaj9t3bdbgSI1xjR10sj3IxVCvXueVNVX1c9VdamIXK2qi1T1q0IEZ4yBeDzJmH9nSZzSUqvokvCC1ivpxr/qU1wc4epbjsENuQWM2BhjmrbVrYp3MHB1HuIwxtRiyeJVZCnXFFAFX3ESHuJVHrTFVl0YdvD27Ln/trRoWVSYQI0xzYPNPK128mS7xIwpsLbtSvCSXvY7RRChInGKRENs1rsztz36R+y8DmOMyY/VTZ52zEsUxphaRaNhiqJhVibKK5boKqgSiYZo17oEEdj7wH6MPHl3S5yMMSaP6k2eRKQjcBrQAwhVdGVXPSWvkRljKpStitV6X/v2Lfn3c+cWMBpjjGnecpl5+h/wPjCeGlVljDHrWjye5N8PTuC1/00hVp6g/66b4YqD53ngVNtsoDBk6FYNE6gxplmys+1yS55KVPXSvEdijGHZ0lLOOulBFixcERS89JSP3vse13UQX1GVyp2HCo4Ix59q1cKNMaaQcmnP8rKIDM97JMY0c59N/JERB9/G/EUrUEfAddCwg+cESVJJSaSirJMouI7wz9uOIRJZ3a2LxhizFlQKc2nEcvnUvQD4q4jEgATB915V1dZ5jcyYZqS8PMFVlz2HqlbdFC4CLsTiSQbssilD9u3D1C9/o8tG7TjgkB0oaRFtuKCNMaaZqjd5UtVWhQjEmOZsyqSfSfi1dz1ywy6b9d6QocP6MHRYnwJGZowxjZOIPAIcCMxX1T6psfbAMwQnuf0CHKWqS1L3XU7QNcUDzlfVN1LjOwKjgWLgVeACVa1zZ1ety3YismXq5w7ZLmv+do0xaaqKqpJMeqhX+++qOMKBh/cvYGTGGJOFFvBSv9HAftXGLgPeUtVewFup24jI1sBIYJvUY+4RkXTrhXuB04FeqUv156yhrpmni1NPdkuW+xQYWt+TG2OyKy2Ncc+d43h73DckEklatSqq88Pi0isPYYOONglsjDFpqvqeiPSoNnwIMCR1/THgXeDS1PjTqhoDfhaRH4GdReQXoLWqfgwgIo8DhwKv1fXatSZPqnp66ueeq/VujDH1uvzPTzP9+zkkEkH1j+XLy8EFfGqUIygpijBk720KH6QxxmRTuFIFHURkUsbtB1T1gXoes6GqzgFQ1Tki0ik1vhEwMeO4WamxROp69fE62Wk6xhTAypXljHniI959exqqyuJFK0kmq+1xEgE0WI1PXUXg6BMGFj5gY4xpeAtVdV3tV8h2+p7WMV4nS56MybN4PMl5Z45m7pylFTNNtXIlaPYLOK5D+/YtOfTwnQoQpTHG5KaRF8mcJyJdUrNOXYD5qfFZwMYZx3UDZqfGu2UZr1MudZ6MMWtAVXnh+c848rDb+XX2EmJobqVLHKGkZZThB/bj3odOoYWVIzDGmFyNBU5MXT+RoEtKenykiERFpCfBxvBPU0t8K0RkVwn6z52Q8Zha5dLbToBjgU1V9RoR6Q50VtVPV/stGdOMPPzAOzz7n0nEHYVI6ntK2EESPm7CD2aY0jWdMq5Ho2GeevY8WrYqaqDIjTGmDo1k5klExhBsDu8gIrOAq4DrgWdF5FTgN+BIAFX9RkSeBaYBSeAcVU0vBZxFZamC16hnszjktmx3D8E21qHANcAK4D+ArSUYU4uFC5fzzPOfkXCpWvQS0LCDekHrFTJKibiuEA6H+L+/H26JkzHG1ENVj6nlrr1qOf464Los45OA1Sqgl0vytIuq7iAiU1IvskREIqvzIsY0dcmkx0cf/8Bvvy2mU6dWPPDwBBJ1LIr7ruB6gJfaGy6wxVZduf7mYygpsWU6Y0wj1khmnhpSLslTIlVISgFEpCPBTJQxBli8eCXnXvBvli0ro7w8juM6JD3Nfg5HJq/ypLpQ2OHAg3ewxMkYY9YDuSRPo4AXgE4ich0wAvhbXqMyZj1yx13jWLBgBZ7no4Cf9IOlutpOggWcuF+ROAF03bg9Q4ZuXZiAjTFmDaUbkzd3dSZPIuIAPwOXEKwhCnCoqn5bgNiMafRUlY8+mo7nKb4AjoAf/KIEHbShxhx30gc/deadwGa9O3P73ScQiVjlEGOMWR/U+Wmtqr6I3KKqA4DvChSTMeuN8vIEnpdKhBwJZpwcRdMJlFZNoMRXnKQibjAlte/wbbnwT8MJh93aXsIYYxqXnGquNG25fNV9U0SOAP5bX5dhY5qbTz79CccRklDzrLoqtwRRDVbxfCUadbniqsMZuFvvQoVqjDFmHckleboYaAEkRaSc9GqEauu8RmbMemDuvKXBcl0mkaBPXeZ3DQ1mnbp0aM2fLxlO3227EwrZbJMxZj1k0yj1J0+qaq3cjcnC83yeH/s5vqRaqmQWvYSq11XZbquNuO3OEwofqDHGmHUqlwrje2QbV9X31n04xqw/Pv50BosWrwxu1LJkJwCqOAmPs88bVsjwjDHG5Ekuy3Z/ybheBOwMTCaoOG5Ms5RMetx61xv4dZVzcgBPkbjPjtt2p1fvzgWM0Bhj8sNKFeS2bHdQ5m0R2Ri4MW8RGbMe+N9rX7B4WWnW+xQqEie3NElxUZhzL9yvkOEZY4zJozUpLDOL1ewBY0xT8+Tzn6AiIBpsdUqNZ34hC8U9+vbtxjnnD2OTHh0aIkxjjFn3bOYppz1Pd1L5R+UA/YAv8xmUMY1RaWmMf93wMhM/mUHcJajr5AB+1RPrcKBXj448dPfJDRSpMcaYfMpl5mlSxvUkMEZVP8xTPMY0SqrKcSfdz6IVZRBKtV5Jn12XWXHAV4pEOPbIXRsqVGOMyR9rzwLkljy1VdU7MgdE5ILqY8Y0ZS+/8gWLSsvBTVURT/deSSdQqakn14fu3Tdgt0FW/NIYY5oqJ4djTswydtI6jsOYRuvnXxZwy/3jgxvZ6jglffABD4YP68uo24+zdivGmKZLC3RpxGqdeRKRY4A/AD1FZGzGXa2ARfU9sYg8AhwIzFfVPqmxm4CDgDgwAzhZVZdmeewvwArAA5Kq2j/XN2TMurRkySpOPe8xtHoBzEw+iANF0TAXnb8vrpvLdxJjjDHrq7qW7T4C5gAdgFsyxlcAX+Xw3KOBu4DHM8bGAZeralJEbgAuBy6t5fF7qurCHF7HmLxYuGQlfzjpPpK+jzh1NMIUJRIOccUlB1riZIxp+hr5rFAh1Jo8qeqvwK/AgDV5YlV9T0R6VBt7M+PmRGDEmjy3Mfk0c/YSrrz1JX76dQGeq+AITlKR6uUwVXFch32H9mHEof3ZfNNODROwMcaYgsqlVMGuwJ3AVkCE4NyiVeugMfApwDO13KfAmyKiwP2q+kAd8Z0OnA7QvXv3tQzJNHeJhMfZfxvD0mWlwZer1OZwPwxOIqOauCpuyOXph06jUwfrkW2MaT7sbLvcNozfBRwD/AAUA38kSKbWmIhcQVD24MlaDhmkqjsA+wPn1NZfD0BVH1DV/qrav2PHjmsTljE8/8rnLEknTtWoo1XOsHtk1ImWOBljTDOU0wYNVf0RcFXVU9VHgT3X9AVF5ESCjeTHqmrW/FVVZ6d+zgdeIOinZ0xe+b7PI099UK3iZYoI6gOeQlK55tKD6NHdqoYbY0xzlEudp1IRiQBfiMiNBJvIW6zJi4nIfgQbxAeratbGYCLSAnBUdUXq+jDgmjV5PWNWx013v0lZLFm16GWaKm5ScZLKzrtsxuDdtix4fMYYYxqHXGaejk8ddy6wCtgYOKK+B4nIGOBjYAsRmSUipxIsAbYCxonIFyJyX+rYriLyauqhGwIfiMiXwKfAK6r6+mq+L2NWy4qV5bz2ztSMJnUZs0+q4IMTcjjvvH244R9HNkiMxhjTKFidp7pnnkTEBa5T1eOAcuDvuT6xqh6TZfjhWo6dDQxPXf8J2C7X1zFmbakq9z72Lp7nI+nlOYGK315fceLQul0JBx+wfQNGaowxpjGoM3lSVU9EOopIRFXjhQrKmEJZuryUsy59kllzlpKedqrIm9L963xo376Em689ipDVcTLGmGYvlz1PvwAfpqqMr0oPquqt+QrKmEK58e43+H3O0iBRqqUO5qYbbcAjd59sBTCNMcYaAwO5JU+zUxeHYL+SMestVeXDKT/x4ltf8f2MeSxeuAIcEB/EI/hbLqRW7JSQCmefOsQSJ2OMMRXqTZ5U9e8QnAWnqqvqO96Yxuz6h8cx7sPvKIslgoGwBJvBExokUQkqTqMQXxhx0A7sstNmDRavMcY0OjbzVP/ZdiIyQESmAd+mbm8nIvfkPTJj1rEff1vAGx98W5k4QVBB3AHSvescIOjIwrAhW3PO6Xs1RKjGGGMasVyW7W4H9gXGAqjql3VV/DamMfJ8nzGvTiKeSGa933fAVUFFcRXOOGEPRh5qtVmNMaYGm3nKKXlCVWeKVNlN6+UnHGPWvaTnc9H1/+HL73/PWjwc0mfYKWHH4S/nDGP4Pn0LGaIxxpj1SC7J00wRGQhoqtL4+aSW8IxZH7w18Xu++XEOiWTtOb94AELHti3Ye8hWBYvNGGPWJ4KdbQe5JU9nAncAGwG/A28A5+QzKGPWhfJYgkef+5gX3vmq6j6ntNQ0lJMMPhA23KAl9990PJFwThOyxhhjmqlczrZbCBxbgFiMWWemz5jLH//6FElV1CH4qiQ1CzlJIrirKBrihiuOoF3bNWrbaIwxzYfNPOV0tt2mIvKSiCwQkfki8j8R2bQQwRmzJnxfOf/vzxFXHy8MXgg0S+IEQeLUplUR//jLIWzeo2OBIzXGGLM+yqXy31PAs0AXoCvwHDAmn0EZs6ZUlRdfn8KSZByNCOoQ9KtzwCfdcUVBFbdUKcFh1NVHsev2PRs6dGOMafxSFcYLcWnMckmeRFX/rarJ1OUJbNLONFKjHn2Hm594N1UpXJB0z5VUAqUO+CEhtFIpcly27NWFzXp0asiQjTHGrGdy2Rn7johcBjxNkDQdDbwiIu0BVHVxHuMzJicrS2OM/u9Enhk3Bc8l+/4mkWDmyVXCYZfBA3tz8dn7FDxWY4xZr9n0SU7J09Gpn2dUGz+F4I/Q9j+ZBrVwyUpOuuIJlq0owxNQqbXHLwCO4zD2ibNpWRItWIzGGGOajlzOtrPNIKbRSSQ8XnzzS157dypzFyxneVk5XmpJDgmW54Bgfd6v7PWrwIA+PSxxMsaYNWUzT/UnTyLiAgcAPTKPV9Vb8xeWMbVTVf583X+Y+v1sYvGg3YoCfpiKvU6ZU0/qgqbqYxZFXW4676BCh2yMMaYJyWXZ7iWgHPia4IQlYxrU5K9/Y9oPcyoSJ9+FRJEEy3VC1TW79JSTgBuGh/52jBXBNMYYs1Zy+Vekm6pum/dIjMnRl9NmUVYeVAz3XUiUBFlTrae2CuDAM/84iU26tC9YnMYY0xQ19jIChZBLqYLXRGRY3iMxJkcbtGtBOOQCkIxK5Zl1te0SVwi7jiVOxhhj1olckqeJwAsiUiYiy0VkhYgsz3dgxtRm6KAtcd0gU1I3ywHVvhWpwOB+m+U/MGOMaQ60QJdGLJfk6RZgAFCiqq1VtZWqts5zXMbUEIsnWbRkFS2KI9x+1VG4IQepvgsvY89T+vevyHE556jdCxusMcaYJiuXPU8/AFNVtZHngWZdSiQ9nn51MmPf/RrP89l7wJacePDOtGiAU/yTSY+7HnuXl8Z/japSXBTh7BMG8+w9f+QPlz/O8nisRlFMTf2/SF3uvfxIum3YtuBxG2NMk7MezAoVQi7J0xzgXRF5DYilB61UQdOlqlxy84tM+W5WxRltz7w2mQ8+n8Fj/zy+Yr9RoYx69B1eeXtqRSzxRBm3PTSe/jv1JJ70wBdwguW5jHeBJIRbLzmUvpt3LWi8xhhjmrZclu1+Bt4CIkCrjItpoqbNmMsX3/9ekawAxBMecxcuZ8KkHwsaS3ksUSVxSiuLJXn38xnEEx6OgnggyfRPJeIJ/Xt3Zae+mxQ0XmOMaeqsMXBuFcb/DiAiLVR1Vf5DMg1t2oy5+H7Nkl5l5Qm++v539t51i4LFsnR5GSLgO+BFUtXDNTVr7KQKOBFUEXcgqCiOcO7RezBiWD8kS487Y4wxZm3UO/MkIgNEZBrwber2diJyT94jMw1mww1aEXJrLs1FIyG6dGxT0Fg6tGuBuoIXFXAEleCnOCC+IH6quribSqhUUaDXpp2sGKYxxuSDnW2X07Ld7cC+wCIAVf0S2COfQZmGNbBfT0qKwzVmbVzXYf/dtipoLKGQS8v2JVU2hAcn1AnqQKIEvBLwiiEZDbY/gXLvix8VNE5jjDHNRy7JE6o6s9qQl4dYTCMRCrncd+VItuzZiXDIJRJ22bhzO+6+4ijati4peDzLS8srvoikUygVSJYAbqpIpggahmSx4Ifg17mLCx6nMcY0B7bnKbez7WaKyEBARSQCnE9qCc80XRtt2JZH/nEci5etIpn06bRBfs4RmDl3CeWxBD27dWDRslVcc//rTP52FqC0bVVMUSTEqlgCdahS08mLZHkyEXAV3xd6WDVxY4wxeZJL8nQmcAewETALeBM4O59BmcajfZsWeXne3+ct5ZJb/8fv85biOkLIdYijlKZ61gEsWV4WdKJ2Caac/GBZTt1gj1P12k5p4YjL2YcNykvcxhjT7DXyWaFCyCV52kJVj80cEJFBwIf5Cck0db6vnHvds8xbtJJ07VVfACdLMpRaWFZSy3SZC82qNRIoEeHKE/Zhxy02zkfoxhhjTE57nu7MccyYnEz5dibLV5ZTX9F6JShR4At4IYK/rVK5xyk4SKs8YMde3Ri+69b5Ct0YY5q3Qp1p18hnt2qdeRKRAcBAoKOIXJxxV2uChRRj1siiZbWUC0vNJKkDyQj46U4wCvjUrNkk6aJPwW9Z2He4/KiheYvbGGNM4yEiWwDPZAxtClwJtAVOAxakxv+qqq+mHnM5cCrBiW/nq+oba/LadS3bRYCWqWMydwsvB0asyYsZA9C310YkvapFOEVBHQmKYYZTiVNmslTHqRdOHKKOy3a9urLpRhvkKWpjjDGNiap+D/QDEBEX+B14ATgZuE1Vb848XkS2BkYC2wBdgfEi0ltVV7uCQK3Jk6pOACaIyGhV/XV1n9iY2nTp2JoDh/ThlQlTKY97CBANu7RvU8LM0pX44WyPqq1SuBBxhMHbb8YVJ++Tv6CNMcak6uw1SnsBM1T11zo6SxwCPK2qMeBnEfkR2Bn4eHVfLJf2LJY4mXVq/CffM2HKT5T7PuoKRZEQI/bajiE79+ak68ekzq7LnHUKfiiKVPu1PXL3vlx8xGCKolkzLmOMMeuvDiIyKeP2A6r6QC3HjgTGZNw+V0ROACYBf1LVJQRVAyZmHDMrNbbarH+FKZik53Hp7WP54Iufq4zHEknGfTqd8Z9Nx6ttN50D+FRuEBfhxL135MLDrdi9McYUVOE2cy9U1f71HZSqQXkwcHlq6F7gWoJIrwVuAU4h+6TZGr0bS55MQbz03lRu/fe7rCqP1/jb6yssXLoq6EvXglrqNwXdgKUcnKjQq0dHzjhwQAEiN8YY08jtD3yuqvMA0j8BRORB4OXUzVlAZkpmpSYAACAASURBVB2bbsDsNXnBXBoDF4nIOSJyj4g8kr6syYuZ5un1D7/lxtHjWRWrmTilxfEpK9KgwW9tJQx88IshGYYZcxfz6Juf5S1mY4wx2TXC9izHkLFkJyJdMu47DJiauj4WGCkiURHpCfQCPl2TP4Nc6jz9G+hM0Bx4AkGmtmJNXsw0P9//Np+rH36dMt+v9Zh4CyjrCPFW4EeCi1e9GKamShWkCmnGkx4vfTotz9EbY4xpzESkBNgH+G/G8I0i8rWIfAXsCVwEoKrfAM8C04DXgXPW5Ew7yG3ZbnNVPVJEDlHVx0TkKWCN6iKY5mXpijJO/+cz+AkFF9QBvKqLzl4IEq0AFSQBTkaOpZreIB48QkNUeXAjr6FmjDFNUyP68FXVUmCDamPH13H8dcB1a/u6ucw8pZuNLRWRPkAboMfavrD5f/buO06uqzz8/+c5996Z2aremyVLluXecMEF414A077BmGBaMOEbAgQSCCRAEr4khB8EQiih2EAMGBscG2Nj3HsvGNuSbKtYVrF6W0m7OzP3nuf3x73TdmcluWi1az1vXsPO3HvunXvHsy89e85znvPaFieeb155F92lcroOnWbBk9SKx5bzUByR1mkKimngVAmVBKq5T52FXL80qHwY8OZj5w3iHRljjDGp3el5+qGIjAK+QDpe2E5awdOYqvWbt3P93fNZt3kbhx8whV/e/jjPLl9fDZgqfPaN8w58AcRLOr7d5JyVbV29pbTCOGkAFoaO0Z2tXHjKkXv2powxxvQ3hHqe9pbdqfP04+zpXaSlz41p8PjCFXzqG9eSJD7NRbrracqJJ4lorKhW+YWTWgXxgQKnCs12igP1IB7KsWfT9h7e8dX/4fK/uZBp40buqVszxhhj+tmd2XYTRORSEbkxe32QiHxoz1+aGQ68V/7xu7+np1imFKd5d+XYp+WYkv7rO7o4HaarjMMNFDippOvbJYXskUu3Vc7VW47ZuqOXL/zC0u+MMWbQDNJMu5c4227Q7U7O009JE8QnZ6+fAz65py7IDC/LXtxId2+p33ahlsMEtaDHCXS05hk/om3AcyqQ5Em/nVnPlQaQtDQGYl6VJ5etobtYbnoeY4wxZk/YneBprKpeRVrfGVWNSVcjNvsw75VlqzexdXsPfqC6TJn63iUXObYVi2zb1IMPIAm0sXdK00Cp34F1QVT9dmGAmprGGGP2DB2kxxC2OwnjO0RkDNmtiMjxwNY9elVmSHtk4XK+8OMb2dFbIkkSnKYFBeq/60pdEFTZplD2Hh/Cjs4EEBDBK7gihOU0IVx3tvKkq71R4ISjZ0+hJWfr2hljjBk8uxM8fYp0lt3+InIfMA545x69KjNkrd7Yxd/817X0luLqNifgnNCaC+nuLaeBk8tKE1CXJ549KY6kFhwlaRK4OojzgM+CJ6VpACUCAUI+F9LRkudf3nP2nrhNY4wxAxjq+UiDYXdm2z0uIm8A5pL+c/asqlqSyT7qmrufJEkaf3O8QL495KIzjmHNpi5+e9981EFDDCTpz8RlPVJekCRtUJ8XJQ2VxWncqRA6Yd7UCbz/tGN4wyGziMKBVhI2xhhj9owBc55E5HUiMhGqeU5Hk1bl/IaIjB6k6zNDzJqN2ygnzVPeJk0YwRc+dDafe/8Z5PMhEgguEE4+cn+mjxlJIlCsDABnj75pTdWfSWM7PLgyxInyzMp19JTL/Nfv7+OGxxfSU7JY3hhjzODZWc/TD4AzAETkFOCrwF8DRwA/xIbu9kmvmzedOx5f3C9g8V45dFa6FuM7TjmMC048hDWbuhjRVqCjtcDXfn0Hzz3wBJAFR7vo9hXIpiikbSvLtihQ8p5/rCtRUChEXPZX7+TgaRNf6e0ZY4zZFRu22+lsu0BVN2XP3wX8UFWvVtUvALP3/KWZoeisY+cyYXQHUehQSSuFR7mAM445gBkTR1XbhYFj6riRdLQWeHbleq5+4Ol0bbqK3Z0hl/U61R/X99Ce3jL/98fXkuxk8WFjjDHm1bLT4ElEKv/cnQ7cXrdvl7lSInKZiKwTkafrto0WkVtEZFH2c9QAx54jIs+KyGIR+fvduREzOPJRyPc+/Q5GjG5DI0EiRxLAyq1d9DSpt6Sq/Of199CtcZOz7cYfMNL4JZUBprHu6Cnx9Iq1L+FOjDHGvBxWJHPnwdMVwF0i8lugB7gHQERms3ulCn4KnNNn298Dt6nqHOC27HUDEQmA7wLnAgcB7xaRg3bj/cwg+f4ND7Bpe0/aKaRKOfE8vWwN37r2nn5tf3DLQ9y/eAX1tQzSmhdAUHvdrKxHWy5Kk8oHUneAKtUK58YYY8yeNGAPkqp+RURuAyYBN6tWKyE60tynnVLVu0Vkvz6bLwBOzZ7/DLgT+GyfNscCi1V1KYCI/Co7bsGu3tPsearKjY88QzlO0ogFQIRSnHD9gwuYMW4Uf3j0GfK5kAtOOJhLb3ukOpwmCdWhu2oAFWYvkmz9uspadsD2uLzrKq7ZjLwwEA6fYTlPxhizRw2DApaDYafDb6r6YJNtz72C95ugqquz86wWkfFN2kwBVtS9XgkcN9AJReQS4BKA6dOnv4JLM7urXEpw5dpvj3eKBtBdLPPNa++mnHhQ+NPzq4mjWjsBiLMAqVJhIM6296kcXjlKXVoHamecE/79veeRC3enbJkxxhjzygzFf22apRIPGOeq6g9JZ/9xzDHHWDy8B2zo2sFtTywm9gkTO9txce2Pj7g1W4eOdENS8risCngxSfCV9ekyQjaWXZcCFYSCCxylviUQJCu0uZPg6cCp4/jGB9/M1DEjXvmNGmOM2TX7l3bQg6e1IjIp63WaBKxr0mYlMK3u9VTgxUG5OtNg8/Ye/uFnv+f+Z5anC/06QRU0UIIYym3gc9QWlxPweZBiLUhyCkHo0t6oAcSx4pp1L+2iezgfhXzvI29jTOfAiwwbY4wxr7bdWRj41XQd8L7s+fuA3zZp8wgwR0RmikgOuDA7zgyi7mKJC796Ofc/sxzI0pK84lXRMC1R0BA41fGVpeYEXAInzJlBPgqJAkdHIY/rUzUcTetENSSACyRRei7f51sqIuRCx5cvOssCJ2OMGUSVP4z39dl2e6znSUSuIE0OHysiK4EvkRbavEpEPgQsB/5P1nYy8GNVPU9VYxH5GHATaSbMZao6f09dp2nudw8tYNP2ngH3+0qid9/YSWpJ3wBOhG998M0AdPUUAeXjP/otT9aVFXCAxrWFhJOoLrE8THuz8iVhTNjCoTMm8oZDZnH6YXMY0VZ4pbcJwLLNm/nHW2/l8RdfJPaeIydP5ktvfCMHjW+WkmeMMWZft8eCJ1V99wC7Tm/S9kXgvLrXvwd+v4cuzeyGRxev3OlQG54Bs9PqR+A+eObrCAPH/9z1OD+4+SGKcZzO1MvUL8kicdrLpC1Nzt3m+J+PXcjUUa9OblNvucwfFi3i+mef5Y7nn28IBB9dtYp3XXkl17/3vcwYOfJVeT9jjHnNGOK9QoNhsIftzDAxfdxIXJMhuQrx4HqplSuA6i9U5IV8FHDKwTP5yHkncPWDT/GdG+9nW2+RUpzgSRPBNWjspYK6Ib8m7nzu+Zd9P/VWbN3KGy69lH+89VbueP759Bb6XEd3ucyljz76qryfMcaY15ahONvODAHvPPEwfnHHH+ktN6kMLoLms96icjbEJjB30ljOPXQu+SDgiFmTOWTGRESEH9zyUPU8miWVN8zAi8FlSeYDTa5zIkTBqxPrf/amm9jU04PPAr+BYsQn1qx5Vd7PGGNeS0St68mCJ9PUpNGd/MXZx/Gd6+/rty8XBghQTjySKC1BxCkHz+Sr7z+P1Vu28fy6zYwZ0YZkUcn6rh3VY9MkcxprOoWgCbgY5o4dw7Pdm4n7rFPnVTnjwJe2pKKqcs3ChVz6+GNs7e3l1JkzueToY3h01apq4LQzM0c1XT3IGGPMPs6CJ9NUOUn42W39h62cCO859UhOP2IO1z04n95yzNlHzeWYOVP41OXXc/fC54nCgHKccPKBM/k/xx+SFtEkG+HrU/cJ0tc+gnYX8fHzTmLlji6+dtPdOBFEhMR7/u2tZzOmvfUl3cO/3X03v3jyT/TEaa/XVU8/zU2LFu328R87/viX9H7GGPOaZxXGAQuezACeXbmOpK5opZImcycotz+1hE9ccDKH1C2H8vXr7+buZ5ZRjBOKWUL4HQuWcMeCJfhK0LQT4uDkuTM5ed5MnBPOnDebO599niBwnDZ3FqNaW17S9W/o7ubyPz1Bse4eYu/ZXioxqbOD1V3bSJrka6UXAx879jjmjBnzkt7TGGPMvsGCJ9Ng8/Ye/vWq27j9T4tJfBpReJdV+s4s27yFr1x9O//wjtOq23794FMU++RHJV77DdE140Q46+DZfO3C86pDfeM72vmzYw592fexcP16ckHQEDxBWvV8dEsL5Thhe6lETxyTCwJUlbwLmDFqJH970smctN+Ml/3exhhjXtsseDJV3isf+OaVrNy4tRo4KVngJLXOmUSVax+ez9QxI3Ai7D9xDD2l8i7PX13bLqxtKEQho9ta+eIFp1cDp4Es37KFZ9dvYPrIEcwdN65pG1XlkVWruH/FcopJ/2T3QITZY8bwqz97F7csWcKKrVs5cOxYTtlvPwJnk0+NMWZXhnoBy8FgwdM+atO2bh5ZtIL2Qp5j504jdI7bn1zE2i3biOvqO1VKCSjUFvMFenzM/3fD3WkVcYEoCKrDdTsjHqQEuXzAsXOmcdIB+/G2ow6mLZ8b8JhykvDpG27ktiVLiZwj8Z6DJoznx+94Gx35fLVdT7nMe//3ap7ZsJ7Ye2LNer7qftFzQcAHjzqafBjyprlzd/PTMsYYY2oseNoH/fTWR/ju9Q+gKKpK4Bz51oiu3mK6TIoD52ujbdXAaYCOoUTBJwmBSxO848QTOGnMKapz7Iwp/Mu7z97txXx/8NDD3L5kKcU4pphte2rNWr5w8618683n41X5f3ffyeVPPNH0PUWgEIS05XL82xlnMm+AXitjjDG7wXqeLHja1zyx9EW+e/0DlOtygRKfUOxK0iVXsmJLHgh81j27q2RvsgLdKlz4+sNZsGotB02ZwLGzp/Kl39xKKY4RhNh7Lj71KP64bg3vuvxKZo4exSfecAKvmzG16Xk3dHfzxxdf5GeP/5HeuHEIrpQk3LRoEQvXreOvb7yBpZs3D3h9gXP85l0XMnfcuJ0W/jTGGGN2hwVP+5ir7vlTQ+DUoFJpOwug1EPoBBcI5aalKxt58fz9Bac2bDt57kxumr+I2CeMam/lr6++vhoIrd++g/f/8n/59Gkn8oFjj2JTTw/XPLOA5zZu4OEVK1m+ZSsguAEut5x43vzLn+/yygSY3NlpgZMxxrwKLOfJgqd9zprN23avoUAuCjj1kFnM3W88/33bQ82rjdeZMW4UPeUyv1/4HM+u20A+F/LbhQvY1N2TDg+Whd4+eVHlJOGrt9zNDx58hO1BL70+SXuElXSoMNE070pB+owbKpr1Hu9kGRngwLHjGFF4dRYRNsYYYyx42seceNB+PL5kVfOddTFIaz7ini//JbkwpLtY4soHn2RD1w7Kvn8/j2bHfupNJ3PGD37C9mKJHeVSQ4I5gCs3D3IU2Li9G4JsUeB62fp3EqfBkiDVkEl349vbmc/z9bPP2XVDY4wxu8d6nmxh4H3NxacdTT6qRTWVYrFaV/m7kAv5yzOPIxem0UlrPscVH3s3Y0a2VUsW1BeZDUPhW+99E1fNn8+GHd10l8sNs9xq7Qf+jRPNTtx0YTvQXGUhYa2+3tW39+zZs7nrg39hxS6NMca8qix42sdEYcAVn3kPna0FAidETggDYdKYDtoLOfYbN4ovvON0PnDa6xqOe3LVGraUevFRFshEac+PKzhu+uyHOPOQOdy15PnGNePqakOhaQ+SurpH/f6GqX01StZOgLD23o0jdf2DsvPnzOH7b3oLnXWlDIwxxrxCmuY8DcZjKLNhu33Ejt4S3/3D/Vz/2DOoKmceM4dTDpxJOU44YtZkxo1o3+nxtyxYRHd9IcwssTwXBjy6bBVvOvxAnHPgfS2WqSSgK0hSO6aBkPY2Sd3rLNDq27bPCir9ajgBtEURXzvrLM6dYzWcjDHG7BkWPO0DvFc+8L1fs2TNRkpZwvbVDz7N7U8v4drPvJeRbbUFd7f1FPnZ3Y9x85OLaM1HXHTiEbz5qHm05XM4kcaeJUBEaM1FAJw7dw6/W/gMZe8RrYtrfK1t48FZ0negaJjlMNUHUX0DrT5L0QmkfafZ+VvDkD9+9K8IrVK4McbsOUO8V2gw2L8y+4AHFy3nhfWbq4ETgFdl47Zuzvy3S1m0ZgMAPaUyF377l1x65yMsWb+Jp1at5Qu/uZlP//wG3nH0IeTCoP/JVXn9/tMB+MwbT0ZDrXa3agSQvu47U656eAC+HbRA+m2sBE2V/Ke+3U3NTpMFYTviMnO+803O/8XlLNtJ3SdjjDHmlbDgaR/w7Kr1lMrNiyX19MZ85sobAbj+8YWs3bqNkvfpN8NBrMpNCxZx18Ln+fTZJ5MLA9pyOfJRCIGwLSlz4td/yLduu4/7VyynMhnPZ3lJvkm8VaEovkWbD+UNkAPV5CSoZsno2bd5wYZ1nPY/P+He5ct2cbAxxpiXQrCcJ7DgaZ8wdcwIclH/KKYyy27Z+s2s2bqNOxcspTtOGgOX7Pn3b3uQ8w87kDs/82E+fOrriEXxWWSzo1jipw88zvfuf4gETQOmMAtoAvBhrSJT/Yw7rb+kSt5TfSBV3wtVf9Fkv1iVocFKMrlo9RhV5cPX/ZakSWkFY4wx5pWw4GkfcOrBs+goNM46q+Z0O4jxvOk/f8adi57v/43IGoaB46ElyxnZ2sITK1cTJ0nacxQoSUHZHpRZumFTGrwEdT1Bmg7f+UDxUguglAH+tJA+j2YX7Su9TaBO0bB571UpSfjjmtW7/TkZY4zZDaqD8xjCLHjaB0RhwOUffxdTxnQCtd4ajUjXsROlu7eMNolBKgcEzlGI0vkFi9ZtTFOScuALWaJ3CN6BVJLDE5By9jMhDahydWUOorR91W6vnKJpwJRTNNKBFyzOfu+K8QBruxhjjDEvkwVP+4hJozq59jPv49DZEym0hwQFoSUfIi4L8AcKnDJOhBNmp4nhB00anx7Xp95S9WllaK3uf9WU8WzdPFx6zn5J4QPJ2in0q1zeoHovQiiOoydP2o2TG2OMMbvPShW8hiXes2l7N50tBfJRSCEK+cVHL+ThpSuZv2oto9ta+cdrb0a1MpzWPIAqRCHfe98FbOrp5Q/PPMeE0e1I1KTIUuV4BfqUJWh2Xi91EVvz01G9MBg4g7C+rpRm1coFvnnOuRTCaICTGmOMeTmGejL3YLDg6TVIVfnNw0/zzZvuZUephPfK7Ilj+Nd3ns28yeM5bv9pHLf/NFSVb95yL+u370h7g5qMcLVEIbd//hJuX7KUi399NWha5sAPMFymA4Zg6XHVcgTQv99zoByn7JTVJWR8k2OTWjkEJ3DZW9/OKTP2a3odxhhjzCthwdNrSLEc840b7+Gqh5+knDTOMntu9Qb+7Hu/5J/edgbvOPoQIC1a+emzT+afrruV3nKclhZQEAf5ICDnAr7/gbdS1oR/vPGWhvwhrYzz9YuTpDFA0rr2Ua3J7pQgqD9lNSm8Epsl/U8jwKn7zeJbZ59LZ6GwizcwxhjzkmU9/Ps6C55eQz51xQ08sOiFfoFTRZIoX77uNnb0lHhqxRqmjxnJBUcdxJfecgaX3vMIL2zZQinwiAglUaaO6WT8yHbuXPw8gdS6przT9JvT7JdogEKW1bIEL2WYTrW2TEv1OIUovT9NBHy6Mwocb5w+i2+fdb4N1RljjNmjLHh6DSjFCTc9/Sz3PbdswMCpolzyfPPGeyn6BB/Bdx54CIC2XEQcKolXkiwHatH6jVz889/w0ZOPqx6vZIFTXYBUTUmCpkNx2ne4rn6f1+bVxzVb387VHe8UQk1/ZslVkgj0Osrec9eKZXzx7tv42mnn7PQzMMYY8/KJlc+z4Gm4u2/JC3zyyuuJY7/LwAkAhWKSkLRkr7O4ZXupXJsJl/GqbOruYVShQKLZuXeVp9T37VR33sObBUeitRNVhwQrvVthFrCRzc7zApFHBDRQJFBIhGIS89tFC/nyG84gHzR+tTf07ODbT97HbSsX0x7l+cCBR/OuOYf3X2/PGGOM2QULnoaxzTt6+NgV19FTjmGAzp0Krf4f+Mp/9foyA1LXpk/5gc09vUxoa2f5lq0vKVep+rRPT1VDg/qimjRpJ2RdUA0bIBaINJ3UF2k12d2r0lMuNwRPW0u9nH/DT9jU2005qzj+z4/cytOb1vL/jj97FzdkjDGmgeU8WZ2n4ezG+c/VvsOSxhh9VzJR0u0+V1c9YGdRVh/lxPOrJ55k5ZataTZ5kxl5A59Ka8unaJNH9QQDJZ/X9UL1fccsoEprVFWqlSsT2toZkW9MFr/iuSfYWuytBk4APUnMrxc/yZrubQNevTHGGNOMBU/DWFdPL6X6GXBhuhBvpe6kOogL6SPKBYwZ1VbrXRrgL4e+cUpREp7csAaf5SY5FaTU//j+8VHWoFlBSyW9yKwKeW3jAHZWFBPSb3HBQ4tn7MgWukrFht33r3mB3iTud1gUBDy1cc0uTm6MMaaeLQxswdOw9vr9Z5AP6yILSWe1+RwkeUgKpIGHS8sPHDB1DIQg/eOIasAjOcVHig/rftI4cuYSwfUCZSCpD5bqQifJlm1pslaeqCBesiE7gbxPk8D7dk1JliDe77co3VapjF6/Ft78zWv44G2/aWg9o2MkQZPcJq/KpNaOgT9gY4wxpgkLnoaxQ6dM4PQD928IDKqjX5XenUxvkvDIiheJC6TJ4nXLnaRNFV+AcrZ0CkFWlLJSpylS6lO/RQUXgyul7dWlgZuG6bItEvYpMl6Jh7K+LRVNA7tK7FdQaPXpoyV7FJJqWYKm430x1GoZpMreM3/jWhZv2VDd9r4DjyHnHEGYEOXLhLkyoQj7dYzi4NETdv8DN8aYfV0lVcIWBjbDlYjwz28+o2mukNB/OmlPOc7KCWi6MG+oJDklKSjakh5UX9tSs6re6UPwYRpAeVHinKa9W9lxlfXqKt+o+k6h9IlC6FHn8eob866KQZM8KAgCRxQ4CDR9uLqHCoj0XQUGgMgFvLijlss0vqWVCaMD8i1lonxClE8odBT54rFvtNl2xhhjXjKbbTfMlZIEJ0Kym9Mfqj1NkdYCmGzJk76BUzW0ztpoICT1vUWVyEjrXmvdT7I/IPIJ5OuuT0F7HeLTNxAvaE+Q9jIF6flUhRjIhwGnTJrKcZOmEbqAYjnm0qcfp6vUW3fpjfdeSmLmjR5fff29Z+9ic2lH9QbT9Yg9//r07zl/y6Hcu3YRORfxthlHcO7UQ7KCoMYYY5oZ6vlIg8GCp2FuZEuBiZ0drNi8tWG7wk5n1ImnOqynWY9RQ9wz0Iy8fmvaSW1GXJ/ACUAjnwZOfc/V4tFekKQWQEkxyGYG1iK5Yux5aPUq/vPUN+Mc3Lt2MV897VSOGrUfToRzfnsZW0u91cKeLUHIn805jFH5AnesfpaV3Zu5bsWTlLX/NMHF29bznwtvr75+fNNyblw1n+8cd6H1SBljzDAgIsuAbaRzwWNVPUZERgNXAvsBy4A/U9XNWfvPAR/K2n9cVW96Oe9rwdMwJyJ86fzT+OgVv+1XJNMHAI0VvDUrCNVY1VurgU81cMo2N6oEQY2BhSCoz3qytM/uukCo7oBUwaM7pHotIkKSS/q1L3vPFx65gfs3P0vo0otLVPna0W/nhre8ny8/eiv3rV9MSxBx8exjedv+h3DOLd9ma7mHsk8o+yb1FZoo+pgH1i3hkQ3LOHbczN06xhhj9jlDr+fpjaq6oe713wO3qepXReTvs9efFZGDgAuBg4HJwK0icoBqk7+ud8HGJ4a5YjnmP269Fyf1AVIaOGmgWTK3pnlLWfBTP3Ou7wK/O+ux0mAnvzNSV56gPrd7Vx04dd/AsW2tONf/AJWY2zfMp+hjdsQldsQlepMyf/fo1Vy9/DEe2LoAol56gu386Pk7+OC9P2NNTxc74hIlv7sDmqleH3Pf+iUv4QhjjDFDzAXAz7LnPwPeWrf9V6paVNXngcXAsS/nDSx4GuaueWI+SzduppjVe6oGP9V8pjSxWkXTMgZB3Yy3SjCVnUuhf00lqTtfRO24OoqmgVqzekxl2flfKdm+Qhjy2RNOJuf6nkQJC01qK2R++Nw9FH1MWT1ln1D0MS90b+qXB1WRd2HTsgUVoThG5Vp3csHGGGMGyVgRebTucUmTNgrcLCKP1e2foKqrAbKflSTYKcCKumNXZtteMhu2G+ZuXrCY3nKc9jaF1AUwjcN1gqQBhYB32TBdJX/J1yWJ1+vbQwXpNybuE0BVZtlJ2stVrdIJUBLIp7P0+g0VioAqs0eN4UunnMZJ02awqncL33j0vuosVQkUiZqv2be7w3EVHWGejx90Gku6NnDN8j9S9P2DskAc50899CWd1xhj9hXCoCaMb1DVY3bR5kRVfVFExgO3iMgzO2k70EJhL5kFT8PciJYCAiSVwKn61WjMc/IBtYV26fMNcqQBT98l5Bpe1iWGV85TyZMK+iSE1+VMaSUxPcu/ajyp8rO3vYM3TJlV3TRv7DgK7UopC4xEQH3lAhs5ASTBZb/JqpB4l11ro0gcb5p2GO+ZdRy9SZlHNy7jhR2bGgKwnAR8+7h3Ma5ghTONMWY4UNUXs5/rROQa0mG4tSIySVVXi8gkYF3WfCUwre7wqcCLL+d9bdhumLvg8HlopXxAs7XhRPF5amFypexAXVXuyrDcLueXxdTymOp6m3aqJa3LJPVlEbKHCCzfvqWh+fHjZxA4qYw2pvegjiRx6RJ22eGF01lOjQAAIABJREFUIGJSWzsiWm0rAmHgEaAtyNESpOOMrUGOSa0j+et5b4Ts2F+94cN88qDTOXTkFA4bNYW/mXc6D7/5c5w8Yc6uPgVjjNl3DVaBzN0okikibSLSUXkOnAU8DVwHvC9r9j7gt9nz64ALRSQvIjOBOcDDL+djsJ6nYeynDz/Ov99xD0lE9kVrsgRJ1PzYfi0rJQZ2kuQtCBprLVCrHOPpH0gp6Qw8ABVUtV9By8gFzBs1vmFbe5Tna8e9iU8/+LuGXqEgyfEPR5zO4u1r2Frq4bmutTy/fSPgEFECp5VRQMQljMq3cvH+x7Nix2YOHTWFsyYfRC6ofd1bwxwfmP16PjD79c1v1hhjzFA3AbgmKy0TAr9U1T+IyCPAVSLyIWA58H8AVHW+iFwFLCDtDvirlzPTrvJmZhh6ZMVKvnrH3SSVAKXZ2m31M+l2Z1RX0rHsAeKwSpN++xtKFdTePC14CeAFgnQtuuplKhw8egJHj+ufq3f+9IM4fPRkrln2NEu7NnLMuGkcPHoMt61dQOA8d61dRG9SWVFYsuE6CINaALW51M3ElhH8+f7H78aNG2OM2V1DpUimqi4FDm+yfSNw+gDHfAX4yit9bwuehqnv3fdQLXBqorISnaKISv9eIXYx4lbpTaqLumrFM+uOrv6QhhIFKpou+KtZl1TZQeDRbHjw0NGT+MWZjcUovXp+/Nx9/GTx/Wwt9zCrfSyfO+wcHtywiG8/fD3FpEycOHyTzPa0l1er19kTl1m8bT1nMG9nd2mMMca8ZBY8DVNLN24ecJ+S1nUi0mY1LevaDfQi2+Cz2k4uK6xZzdkeOOyqJpW3JEiQ9UhVjksCSJRJ7e383TEn9vvz5VsLbuMXSx+mJ+tVWrp9A3/14K8Ig4SypjPjdhIv4jVNIvfe0RZGzGofO3BjY4wxL88Q6Xnamyx4GqYKubDJ9P8scArTmk6pJoHOgMN4jbPmvNO0tlNd+1qNKJp3XwnQmlSH8MRlvVBegIRcR4lNYS8ffuCXAJw6cX++e/yF3PbiM1y2+H58nyTBko8peyXMvqkimuUR9r8vAZJECCVgRK6VN06a2+wmjTHGmFfEgqdhKt+aRkfqNF3kN41N0hS4akmCnQzMZQGRitZeV1QCHmHgUzQJnBQPBY+EHvW1g0WAQIlaS7iw8cA71yzhnJv/i02l7f0Cp/q3qgicEid9L0qrs+4CcZw68QC+cPj5RP0KbhpjjHmlhkrO095kwdMwtS0ukeS18b9gQLUKuOxs/kDWbdSQOiRZwFSf9O2qu4iCIJ39VhdraaX7KVA0n+Bafd3pFI0FTWpFn/oGTqAEzrO6uKl2EQP0KFWfZ+UI4sTVbUtn27VHee468++JAvtaG2OM2XOsztMwJZVilZCOttWXGXBZnnazteY0SyOvHF8JkJQ0sZzsHNW6UWni+edPPpn7338JUzo66yb2eWiL0c4yrtU31FsSgSBS5o0ey8hcgYPGjKM+DBLx5KOYMPCEQRr8BEF9afIKJQiS6naXnSNwnsB5wsATuHTf26cdbYGTMcbsSUqaYDoYjyHMgqdhqi3KpU/q4qOGIpR1wU/9QwU0pDa0JyAitRymAIh8LRoLFFpjvvX0vYxra+ew/cYhLR6fT9D2BM31r99U76SpM3jiok9wzXnvqwY+oERh0lAIU7IJgU5q1yqi5KKEKMyCK/FMau0kJE/iAxLv8F5IvJAkwu9WPcDyHRuaX4gxxhjzKrHgaZhRVVZ2dTXf2aemk4bZI8gelaCpPtjxtRlymlPUeWjx0JZAe5I+d1BKEpZv28xNKxYRhx7yms7m20lelAL3r12GV+Wxjcs5eOTEhsvsd/kCzimCUsiVKeTiaq+SSJp8nhBz7pSDqzfpNS2X3pqPiUn49fL7X8KnaYwx5iXTQXoMYTbGMYwsWL+Oj/3helZv20Zv0n9R26YGilTqvpyVUgQAuObf2Nh7IueIfd0ac3UFLwcKoBZ3beBdd17K4q71dCdlQnHEOyno6sTT0VbO3lOIfeO6M1NbR3PO1AO5b+Of6CqV0xwolw4ZJqq8sGP9gOc2xhhjXg0WPA0TXcVe3vnrK+iJ451XuBwoWu+fSpT+qAROdcNnDZXASXe/YfJM7ly9NK2jVCkxntXAFJFqgcq+54gp8+TmVdU3iDVdgTiQAPBpFfS6i4oCX33v0CkiCeUk/ZoKcMr4GcxqG4cnIRc2LhacdyFHjpo5wAdgjDHm1WCz7fbCsJ2IzBWRJ+oeXSLyyT5tThWRrXVtvjjY1zmUbOrp5qzLf5IGTgPYabXw+gb1PU71dZ08INo/h0mVia0d/MdJb+ax9Svxga+dyKdVxdMcdEGzfO/64MsFzSM9TSI6oxbyLqhWjgqcJxfWeqXS0gMKeAJJmNC6lZvXXc2XFv4zx40dT8HVFu4LEFrDPG+fdtyuPgljjDHmFRn0nidVfRY4AkBEAmAVcE2Tpveo6psG89qGqk/dfCNru7vTF5WcpkrkX6nXBFkARNNIqhIo1Ypcam1pFIXIOUotJUT6BDsibCx2EznHrI4xFIKAXrKSBT5tl3eOA0aNY+HWNQRhOQuY0oKVtYvsy/HmqQdyw+pHCJIERAmahPIiypT2rbSFZVy2vyfpJdGFXDTzXG5+8Rl2JEVeP3YuH5lzFiNybbv8PI0xxphXYm8P250OLFHVF/bydQxJK7Zu5Y9rXuS+5dnH01Dpu0mV775Jdn2LWOY0HaZLwHlhZK5ATgISVd40Zy6XL3+EpN+6cVD2ntXd27hwzhH8cOFDiE+yqXFKKI4ZnaP45ekXceYt36KrXLuAIKgkdSt9OzlH5lq4dd3D4EoUXJrfpANEfoUgrgZOFbFPCIIt/OaUvxvo4zPGGLMnDFDQeF+yt4OnC4ErBth3goj8CXgR+FtVnd+skYhcAlwCMH369D1ykYOtnCT8zS2/59alSwjEEdd/Uet6miqVCBp3Z/lHrlKhKaU5TcsQAAQwuaODa976Hsa3tQNQTGJ++ouHaZZQ5VWZ0NJOa5TjijMu4u8euIGl2zYCcNLEmXzthPO5ctkj9MTlhuMquU/ZFVS3Ry7ki0ecxdefuzytik46PBdrJSSsvX8kSXXGXcM14dlUGnh9P2OMMWZP2WvBk4jkgLcAn2uy+3FghqpuF5HzgGuBOc3Oo6o/BH4IcMwxx7wmwuFvPXQ/Ny5elPbYNJuZ1jeAqm6WasCkWa+Pho0J4ZXjN5S6G3KbIhfQEgX0lPvmVSltUY7WrK7UoWMm8Yc3/QVbiz2ELqA1jPjmglu5dNF9TXPVRSp9Tlq93p+ffDFRmNCTlBrahXgSTS92ZNQGJMS+p+mgX97lOHLkYU32GGOM2ZMsYXzv9jydCzyuqmv77lDVrrrnvxeR74nIWFV9zVdAVFV++MdHa+u81Q3VVdUN02ndfkX7zZ7rFzhlepOYk679Pp84/ET+78Gvx4nwoXmv40cLHqYY1wK20Dn+7sg3AGkP1D1rF/PHjSuZ0NLB+VMP4aYXF/DzJQ/hVQmCNOlbFZIkyIbh0ryllqhMa65E4OB/XrieRdtX9bsmEWgNHB+YeSYrelagCoWgk6e3PkG3X5eunQdEEjE6N5qTx57wUj9eY4wx5hXbm8HTuxlgyE5EJgJrVVVF5FjSEGDjYF7c3jJ//brGWkoDqcxmyxbDjSUhcUotJ6qWDN58Kp5S9Anfeep+Dhs9iZMmzeSTh53CtlKRK5c+SZD1Yn1o3rG8b+7R9CZl3nfP5Ty7dS29SRHn4MtPXk8gQqKeQi6uVgxXhTCIKZUDvDpacyXa8iVcdh1/3LK44TpyLiF0aa9TR9DK1StvpNenvVJ5l+Ocia/nyNH7c9Oa2+mOuzl2zNGcOeGN5IP8y/iEjTHGvGzDoIDlYNgrwZOItAJnAh+p2/aXAKr638A7gY+KSAz0ABeq7hsZaiu7urKApH+eU19R4NCcTwOnyjieh3QynKYBVEKTGXgKYVpPqScp87NnH+WkSTMJneOfjz2bvzn8ZK5+4Qke3fQ86+ONPL5pOY9tWMkzW9ZQ1FLDcF+iShjU1rWD2s9clNBbgvZ84zH11zEq14uIZvWjwLOBcl1hzKIvceOa+zh30sl8ft6nXtZnaowxxrya9krwpKrdwJg+2/677vl3gO8M9nUNBQeNG9c/eAIQOGfWHLrjMiu2buHYKVO55oX5FPtU/M5HAQeOG8fT69eSJFlAldC41l3okbB2/i2l3urz2Cd84pErmb/lRXqSMgLcsnohISE9SZnA0S8QCpwfIDhK9w3U+VVZy07qetFUIXQJZV//1VQe27yAKa3jB/7gjDHG7HECyL7Rl7FTe3u2nelj+oiRnL3/Ady8dBHFpJZ7NDJf4N9OP5ORhRYA7l75PNevfIZe35hQXvQJnS0FJo3oYPWObdUgzCF4FCkkDYFOIQg5Z9rc6utbVi+sBk6Qxl69SRnVcpZg1d/Ofo1iHzQfNQRC6R90iVRWiKmFXA5Ha1DYybsYY4wxg8cWBh6C/uOsc/nU8ScypaOTUYUCbz/wIG686OJq4ARQCKMBg5aOKMf/vuU9nD59fwIRAoFpY9oYOzogDDXLPVJagoipbSN495wjqsfetnohPUkJabI640C9S3EcNCn7oQTiGdnSTTlpvr8QlvtubEqB48fazDpjjBkS/CA9hjDreRqCQue45KjXcclRrxuwzdHjJ1MIQ7aXSw3bW8KIiw48nAmt7fzozLextdTL+X/4Met6uyhnvVRBABMLnfzlvBN456zDaAnTZU68ehZ1rSZwjd/axNem7FU6hRrynrxQTqRhrTkBWnPldFgOJRKllPVcCZBzaUmEvuvopeUWhJagJUv1Uj437y9oD1t3+/Mzxhhj9iQLnoapwDl+evY7+fMbryL2Hq9Kop4PHnwUJ0/dr9ruN0v/xOZidzVwgjTJe3NxB2dOPaAaOAFctugeXuje0BDMqIJzniQJ0rXvmnR3eXXEMYxq6cWrZGvS1Q/JKVEQE9UdIwJehUQFlxU1iFzI6NwI/mHex1nes4ZAHIeNOIB8kHs1PjJjjDGvAst5suBpWDt07AQevuij3L1yGV2lXk6YNJ3J7Z0Nbe5b+zy9Sf8FhaMg5KlNq5nY2gHA05tX8V/P3tav+plkM/3i2OGcIqJ4FbShGrgSOo8TbVoNvHqe/lvpKucIBAqB49yJJ/P+WW8hkIDJlhxujDFmiLLgaZjLByFnzpg94P5pbSObzt7z6pmQBU5PblrJxff+BBUdMLkbIEkchXyJUhxSy4XKVqQbIGhK92u/4bnadTi8CpHkuWi/8wgk6N/IGGPM0GB1ngBLGH/Ne++cY4hcY0ASiDCxpYNIlM8/di3vvvvHlHyC77NOXoWg5KMyzinlckgujImChDDwRGFCLooREZKklZyL6BtYjcgVyQcxri4DMH2fkNagQEfYyr8f8WFarOilMcaYYcB6nl7jZo8Yy3dOfDuffeh6uuMysXoiB2vL63nnXT9s+APCe4cLfF0vUbq3LVckwZH3MYVQGR9OpiNq4amtK4lcSIAjcgFfP/qd/PeSH7G6J6HkhZxLaAnjamXxyHlKHhTH+ZNO4shRh1IIchwyYiahsx4nY4wZ+gb4K3sfY8HTMKSqPLDmBZ7etJbp7SM5fdrsfr1L9d44eTYPvvUTPLd1He+/96dsi3sG6HUV4sSRC2MC5wmcUghjAqeoenrikLJXNiSr2OSVUS0O74URuVa+f8wl3L3xLmK2MTIfN1QJr55dIOc8hSDiwBHTOX7sQa/mx2KMMcYMCguehpnucokLb76CxVs3UEoS8kFIRy7P1ef8OVPaRwx4nBNh6fZ1xJoMEDhl+U6idBaK/RK/RSAfJMTe4fF4hVjTGXxb4y7+ZcHP6chtJNZ4p8Ph6dp3fqe5VcYYY4YusY4ny3kabr75p3t5ZvO66hDcjrjE+p7tfPq+G3Z57NqebZR8/5l3Iko+isnnYvJRjBvgN6N+KZV8ENMZFenMFQmlzJJtK3GkvV+7CowU5ehRh+7yeo0xxpihyIKnYeaapfMp9VmSJVHl0XUr6e5TMLOvw0dPbTK8lwZOlYV9RQaeSKGk+9vCEi1BOpwXiJIPEnJBkc4wLZMgAk48fc9UGSb/6Oz30hG1794NG2OMMUOMDdsNM14HrlnvdzF/9MjR0zh89FT+uHEFxawHqlJNvFZGQCglAfkgQao9UIJqWmlcxBP1WQg4rQWl9NStxReIAh6vrnqOjqiTLx7018xsn7rb92uMMWaIsYRxC56Gm/P3m8evFj1B2TcuhXLomIm0RwNP9V/b08XXF1zP/G2LkdCT82ly+EBFLTtzveSywCpWoRiHEEJvPEBiugBE5F2eoi8iAqEokBBKyMdmf5TXjbb16Ywxxgx/FjwNM397xCnct3oZa7q3UZIecjnF4fjQIUc1ba+qfHfh3Vz2/C2Q5SyJgHPpcFulTniNZ2LrdoK6/KYQJcqVUYW2sEzRO/qO+OYk4tARB+LpYlXPasqaLvqbdzmOHX20BU7GGPNaoCBDfNHewWDB0zAzIl/g2vMu5oLbv8eGoidRj5LwxT/9lq3lHbxn/+Ma2v9uxdP8ePHduFD7D7Vla87FSYDiUKAtKjckhtfa1n7mnKeYCFLXKHCOsya+ngumnMpNa2/n/g0Pk3MRZ0w4lZPGHr9HPgtjjDFmb7DgaRj63Yo/sbXUQ5LlPynQm5T5xoJbuGD64bRHhWrbHz13HzFlmi+tm65RF4gn0bRYQeSSpi3rOVEC8XgcIExuGc+n517MyFy63MtbJp/LWyaf+4rv0xhjzBBkOU8WPA1Ht6xeSK8v99uuCk9sWsFJE+ZUt20s7sB7GaB8QLbunDgCgYB00d/dMSrXTW/SwodnvZ/TJhzb0AtljDHGvJZZqYJhaHSurWkwVPQxv172WMO2142dASpZVbP6vxbS56qVrKf0dW8cpIUwB/zDQim4MlNbtjK5ZYcFTsYYs6/RQXoMYRY8DUMXzTqWQJr/p7tzzXOs791Wff03B7+R1jAkqFQQz76VAoTiac8VGdvSzdiWHYwq7CAfeLrLAT1xmA7laeUYj+CJJGFKyxZEoDXYxo0vXranb9cYY4wZUix4GoaOGTuDSS3Nl2LJBxHPbF1Tfb1f+xh+ctL7CZ0QOiWU7OGUEfleCmFSnYEXOqUjX6QjV6YljEEh9jC9ZSOTC11Ma9nMrLYNRHW1oR7a9Ae2lNYPyn0bY4zZ+0R1UB5DmQVPw9Tx42Y1/Y9X9glPbVnEF5/6KT9e8nvW9m7m0FFTecvUYyi4qFaqQDz5ICZyCTkXk3MxjjQoStThBAIHUQB55+mMemkNy/QdoXPiWLZj/p6/YWOMMWaIsITxYeri2cfzu5VP0pvUEsdDcTgXc93quyn6MqEEXL3yHr5+xEf4zEFvZXrrOK5cfj/b4x5mtLXQlXQBtRIEkfPEKg1J44IOWEizoi1blsUYY8w+YIj3Cg0G63kapvbvGMd3jruQyS0jyLmQyAVMbmtjROsOitlMvFgTepMS/77wVzhxXDTzZH77hs/y+UNOoEeXAPSr5xRKWvGpxZWY0bqROe1r2VnmXiAhs9oP35O3aowxxgwp1vM0jL1+/P7cctYn2VDcTmuQ488f/FeK5f6lX1f3bOIXy65mWc8yRkUdPL31PmJtaQic8q5MS1Cm7B1l75jWugm3G5Po3jfzSwQywJItxhhjXlvS+UP7PAuehpknNy/nJ0vvYmX3Jg4fNYMPznoDk1tHAVAIIuhf/olYY25YcxOgqIKTKK3vlC3OMqWwhbawCKTz8KQ6M2/njhpxBtNaD3jV7s0YY4wZDix4GkZuXzOfL/zp1xR9GQVe2L6Bm1c/yeWv/7/MaBvLWya/np8uu4mSjxuOywcxImngJAKxumrgNCraQVtYrOtlqrUbiCNgRutBvGXaX+6hOzXGGDMUCUN/JtxgsOBpmPDq+fcF1zVUFk/wdMclvvfcLfzbEe9iRfdmSr7WnypAIAkj873p6ywgSiuJp89HRj39hucq697Rp//JEXDKuHcwu+NwprfOs+KYxhhj9kkWPA0TG4vb6Sr39tuuKI9tep5rVj7AzWsep+wFcIzMddMalgmdNu1FqgzbuZ0uj10LoBwBx405l9MnvvtVuR9jjDFmuLLgaZhoDwsMNOttVNTGVcvvrfZKBZIwprCDRNO64nkX0xn2Eoin7AO2lgvE5HB4pFoHvzHCEhSHJ8m+Iq1BB+dMev+eu0FjjDHDgw3bWamC4aLHFzlk5ARaAs0CnlQhiLh41slsj3soBGVmdWzgwBHrKbiEgivT4noZE+0g5xICUfIuZnx+O61BL4d0vkhHWKoLoKCyfEvOxTipvc/0tgNxNqvOGGOMsZ6n4eD6VQ/yX4uuwSHkw4Qw8Ki2UE4C3rvfSbxpypE8vOlx1pSWEtQFPKGka9HlXExZA0CqQ3gTCtvTxD/xFFyZRB2JpvsjSQCINQ2WAkJOGvfWwb5tY4wxQ5H1PFnwNNSt7tnIfy26pmEGnQjkXImfn/B3TGsbB8D+HY51G/t+oYWyBngVcpJQygIoSEsSFDWiQ3tIxBGKr34ZVNP+pwQhIMc7pn2caa1z9/i9GmOMMcOBBU9D2FNbFvEfz17Zr/QApGvKPbr52WrwtKm0htagRCEo4dWxI8kTa4AACY6ABIfis+CpkuFU1IiR0k03EZ6gGjgpjktm/jtT2ubYcJ0xxpiUFckELHgasu5c9wjfWXQFXeUEqPUYVXhVntryKI9vuYzYd1OQbsbmYpykPUedYQ8bS+10+xxhNqOudgbNFgEWEnXEEjDObWNNPLLa7sSxFzKt/cDBuVljjDFmGLHgaQhK1POjJVeni/s6ocmKKyQas670MIUgps31Erm4ms8kkgZAY3LbiYsdBFmBzHRQTwnwhE6rzwEC8Tg8vRrRHkzg1Al/Pjg3a4wxZlixIpkWPA1Jm0pbKfoSAIEokXjKWpkYKeRcyJj8RgpBTEhCKMmAFcFHRr3ZkisQSkItaTz98uddGYfHoZR8nrmdJ/L2qX+9h+/QGGOMGb4seBqC2oIWfF1knw8TQu+JvWNErp03T57Dgq7rqsNxZEut9CWkfyGEkhC4BE9QnXXn8ESuTCSeEUEP41rm8Z45l+HEqlcYY4zZCet5sjpPQ1FrWOCkcUeSc1F1W+CUzlzAxw94O+MKAaH4dHiuslZdk++yAhOirczKr6c9KBG5hJagREtQJB+U6XS9jI220RmN4KSJX7HAyRhjjNkN9q/lEKOqxD7mr2ZfyLGjDyGSkJYgT8HlePf0czl53FFsKb3YcIzHVQOo+seOJEdLUMY5GBtuZ3zQRaf0MCooMj3qZlwUc+SYj3DBftfRHk3ZS3dsjDFm+OjzD82efOyCiEwTkTtEZKGIzBeRT2Tb/0lEVonIE9njvLpjPicii0XkWRE5++V+CjZsN0R49Vy76gZuXHMLPUkv4/PjeO+Md/GXs/+MLaUuJhbGIuJ5eMPVrOt+iM6gh7IGFDVCEcoaUfaKE0+ijrIKHUGJvEsLXopA3sUgjultxzGn80ymtJ1E6Ap7+c6NMcaYlyUGPq2qj4tIB/CYiNyS7fumqn69vrGIHARcCBwMTAZuFZEDVDV5qW9swdMQ8avl/8ut6+6oJoqvLa7j24t/wGfmfoJ5nQewsnsBV77weYRuUIgchOopUKYraclSvoUeHyGkPU2Tclv6vY8AY1qOYkbHGYN7g8YYY4Y/ZcjkPKnqamB19nybiCwEdjaMcgHwK1UtAs+LyGLgWOCBl/reNmw3BBSTIresu4OS7yWQJKvBBCVf4uqV15FozK9f+CfQ7jQJvE9JghZXIl2PrsSoqIcJuS4m5bbgmszAS4iY3XHq4NyYMcYY8/KNFZFH6x6XDNRQRPYDjgQeyjZ9TESeFJHLRGRUtm0KsKLusJXsPNgakPU8DQGbSpsJpZtcUKsknqjQ43Os7l3Diu6n8ZRpVo1ABHIkjMttoODKeGBr0kKvhhSIqwGUKiQEnDj+M3REEwblvowxxrwGDV6F8Q2qesyuGolIO3A18ElV7RKR7wNfJu0n+zLwDeCD9K02nXpZ3WgWPA0BD2+6F0fcUKspQCm4MtNbp7J8232UtZvcAMfnXJlpuQ3EGtCjEYKyNWmllxZmtU6i5LczJn8UR4/7KK3h2EG5J2OMMWZPE5GINHD6har+L4Cqrq3b/yPg+uzlSmBa3eFTgcYZWLvJgqch4N4Nd/QrcikCIZ6zJxzLE+s/DYzE43GqDW0FZXzQRShKQEwoSVb/SThp0g/Zr/3wwbwVY4wxZlCIiACXAgtV9T/qtk/K8qEA3gY8nT2/DviliPwHacL4HODhl/PeFjwNAUVfbLrdifBC11VE4hkdbGdT0kZEdZ0VRJRRwXbGhNuz1xCoEpGQF5hYmNb0vMYYY8zLNYSWZzkReC/wlIg8kW37PPBuETmC9F/LZcBHAFR1vohcBSwgnan3Vy9nph1Y8LTXxL7M/K33s2jbHxkddbK2uAHtM/Q6tWU664uP0CLQHpTIu5gdSZ5YhZxLaJMi03MbSQgajgvwBBKTCzoH85aMMcaYQaOq99I8j+n3OznmK8BXXul7W/C0F5R9kR8t+Twbii9S1l68hkCeQEK8xrS7GJU8Z004lfvXPUBL9l8pEs/IsAdIE8ALUiJPQhEhqZs4qUBLMAIn9p/XGGPMq2zo9DztNfav617w8Mab2FBcSVnTmk5OYkZHCe2uxLT8ZpykC/ku2PRPCDnK6ojw1Vwn1XTIbly4HRGINGkInhIch4z66F64M2OMMea1z4KnveCprfdWAycAh2d6bhOtQakWIJH+xxkXFWmXHkoaUtQcCOQlZlywjbzE2fEKKKpCmZCR+cOY1vm2Qb8vY4wxr3EKeOt5suBpEK3ueZ4FXQ/RHXfVbVWm5zbYmch/AAASjUlEQVRScOWmM+6UdPXfFhfTQpmIhA4pNrRVIEeO1tZzmNx+PhNaT0GkMQ/KGGOMMa8OC54Gye9XXcbDm24kIW7YXpAyeRf3C5zqKUIaIgllAmLSYTxIh/CicArHTLqOKBi9527AGGOMYfcW7X2ts+BpENyz7n95YNPv+m0PSJiW28Jot50yjm7No01WzAn6lHONcYTq08E6GcHRU+6yniZjjDFmkOyV4ElElgHbgASI+5Zfzwpf/SdwHtANvF9VHx/s63w1dJU3cfPay/ttz0uZY1uXEonHiccrdFJkfdJBXC09oBSk/3Cey0oaJNLJYRN+aoGTMcaYwWM9T3u15+mNqrphgH3nklb+nAMcB3w/+zmsbC9v5KdL/pbKkFu9A/MvkpPacJ0TUFVGuh2sT9L6TIEkFFy57qh0AC/SBO8iTpj2AIFrHYxbMcYYY0xmqA7bXQD8j6oq8P+3d+dRkpXlHce/v1vVXb3NNMPMMMiogLK4ECEy7sGAEQ9gFDWYTeN2EjPENSd6DsboIea4xyR/aIKjIh5FRZAh4IIKinpCWGbYERdAhHGQhgFm62Wqq578cW/P1NRUd1f1UnWr8/ucU6dv3br31vv0rbfnmefeet/rJB1UN9x67kVUufj+9/J4+RHqf81P6nmEVdkwA7WmJvmtAJVIWJ3sQTVDZyYEQ4wzqR5WDb3FiZOZmbWfK08NbrBpjwC+L2mzpLc2eH0t8EDN8y3ZugNIequkTZI2Pfzww4vQ1Ln57egd7C5vo1eT1E7aPJiMc1RpZMYbxCejQJFgKJmgnz0cpFGGGaNKsFsHo55ncfSKdy5+EGZmZnaATlWeXhQRWyUdAvxA0s8j4ic1rzdKLRqmuhGxAdgAsG7dutykwzsmRwDoTSqMVapUSQCxprgdNQ6FCNhd7WVQe1hd3Lk3wSpRoZIkDEQvT1v9SQ9FYGZmneFxnoAOVZ4iYmv2cwTYCDy3bpMtQO2stk8EtrandQtjTd8xBBUkGC6MU6IMVEmokjSsOgWJ0mrToT07KChICHqZTJdV4pkrP8Chg6c4cTIzM+ugtidPkgYlLZtaBl4G3FG32eXAG5R6PrC9m+53AlhZejJHDD2PokpIMFgss6pY5rjSo9NWno4qjPPknj0sV4VhTfLkwh4GNIkKh/GUlf/B6mVntTkKMzOzWgFRbc8jxzpx2W4NsDEdjYAi8NWIuFLSeoCIOI90RuQzgLtJhyp4cwfaOW8vX/uP3PzoRm577FuUY4JjB09gZfVmNNnLLnr3plAC1iRlSoWgjworkmwATGDtYXdRLAx1KgQzMzOr0/bkKSLuBY5vsP68muUA3tbOds1XRHD/rqv45fZvUolxDh96GUcPv4YTV57Fcf1FxrZ/nGpcS5WE4d4Ku6oT7KgWEDBcmKRPaSo1lVAFoORYJ05mZmY5k9ehCrrODSMf49c7v0OVdMLf7Xvu5fFd53Nscj/BOKPVCr2JKCXpldKBpMpA0rgsmY4KlbD8kG+1q/lmZmbN8VAFTp4Wwr07vs09Oy/bb91xPQ9xZGEie5bQX0iYIBivTtKXJCRAo9RJgLSW5WuuJUk6NZKEmZmZTcfJ0zztLv+OG0Y+ut+6EpMcWZxAdYM5lQLGIl0ntN8AmAAEFIrHMrzm6kVutZmZ2Rx4qALAydO83bPjCqKuhnR0z9i02w8WClSjgiQSBFMJVPZZHFy5cdHaamZmZvPn5GkeHh79H36942sEFYpM8qLSgxQS6KMATD8WU21FqkcFIoIJKpA8h2JxeRtabmZmNke+56lj07N0vYdGr2HzyLuI6jYgeHFfmjgBjFOZdr9ydV+VauqXX44q1eTprFhzyeI12MzMzBaEK09zdNe2T1KNcXoExxQePWBCmYmoUKqrPlUICgoKJNklOyhHMLjyq/T2vbhdTTczM5s7V56cPLVqsrqDkZ1fY3TyNwBIsLowfsB2E1QoR4U+ihSVoIAeJfQorTeNM0mCGFz5dXpKL2xrDGZmZjZ3Tp5aUK48xu0Pnk65MoLoQ8DxvWVWJSUAJqmyszqx9/bxKjDKJMMqgdKBNKtUqQAJosqxTpzMzKyLhCtPOHlqyW+2/QOl6v0MCJYVxjmi2E+PtPcG8GIkrEj62Vbd/9t2UfNBqwJlCgwuP4e+ob9tZ/PNzMxsATh5atLu8U1Mjl9JgfRS3XISepQuT5FERDCoHnZHmQTop0A1G46gTIW+Ze9j5bKumnnGzMwsFUA135P2toOTpyZt3fYWYF+yNJA0HopAEr0USIIDRggfOPgiCqXnL2o7zczMbHE5eWrCxNgVVKuP7Fdl2sM013wDEhKSZP/Xk/7XO3EyM7Pu53uePM7TbMZ2fo7Rx86uH4mA7dVJYP/7mSAdL1xAL0WKJBRIKJb+ktJB/9KeBpuZmdmicuVpBnvGfsjEzg8BMCCxuy5ReqA8ztqevn0ZaAQVqgRp9UlaTXHVD0mKA21tt5mZ2aJx5cnJ00zGtr+PIJ3EdygR5UqFPTWvlxXsGf48g73HQOwCLSd2fRoYozjwRpLe4zvUcjMzM1ssTp6mUR7/MVHdut/luhWFAtVqlXGCBFix8rOU+k/Zb7/egz7c1naamZlZezl5amBi1wWM7fhAw9eSJKGfIFhOqf8VbW6ZmZlZJwVUfdnOyVOd6rY3MT5x9bSvp5fxSgwfel37GmVmZma54eSpRnX0G1C+drpBCABQspblh1xFkgy1rV1mZma5EBDhQTI9VEGt3efPusmyVRc5cTIzM/t/zJWnWpF+l65EkQkmD3hZyVoKxcPb3SozM7P88D1Prjztp/+VAJSSHop1vxolh7HskO92olVmZmaWI06eag2+HZLVAAwkJYYoMUAvQ6VXMHzo9STJig430MzMrMMi2vPIMV+2q5EkRaqrfgqjG2DscpLiAMnQ35H0vaTTTTMzM7OccPJUJ0kSGFqfPszMzGyfCKj623a+bGdmZmbWAleezMzMrHk5vx+pHVx5MjMzM2uBK09mZmbWtPA9T648mZmZmbXClSczMzNrUv7HYGoHV57MzMzMWuDkyczMzKwFvmxnZmZmzQk8MTCuPJmZmZm1xJUnMzMza154qAJXnszMzMxa4MqTmZmZNSWA8D1PrjyZmZmZtcKVJzMzM2tOhO95wpUnMzMzs5a48mRmZmZN8z1PrjyZmZlZl5J0mqRfSLpb0jntel9XnszMzKx5ObnnSVIB+AxwKrAFuFHS5RHxs8V+b1eezMzMrBs9F7g7Iu6NiD3A14Ez2/HGS6rytHnz5kck/WaWzVYBj7SjPYvMceSL48ifpRKL48iXvMVxeDvfbCePfe+quGRVm96uT9KmmucbImJDzfO1wAM1z7cAz2tHw5ZU8hQRq2fbRtKmiFjXjvYsJseRL44jf5ZKLI4jX5ZKHHMVEad1ug011GBdW+5m92U7MzMz60ZbgCfVPH8isLUdb+zkyczMzLrRjcDRko6U1Av8OXB5O954SV22a9KG2TfpCo4jXxxH/iyVWBxHviyVOLpeRExKejvwPaAAnB8Rd7bjvRXhwa7MzMzMmuXLdmZmZmYtcPJkZmZm1oKuTZ4k9Um6QdKtku6U9M/Z+nMl/VbSLdnjjGn2bziku6SDJf1A0q+ynyvyGoekJ0n6kaS7sn3fVfNaU7+HPMSRbXefpNuzbTbVrG/r+ZhvLJKOrXn9Fkk7JL272f3bEUf22juyz/+dkj4xzf657iPNxNENfaSZOLJtctFH5nk+ct8/JF1U04b7JN0yzf656B/WIRHRlQ/S8R2GsuUe4Hrg+cC5wHtm2bcA3AM8BegFbgWekb32CeCcbPkc4OM5juMJwLOz5WXAL2vimHX/vMSR7XMfsKrB+raej4WIpe5z9jvg8Jydk1OAq4BS9toh07Q9732kmTi6oY/MGke2Phd9ZL5x1H3Gctc/6rb5FPDBadqei/7hR2ceXVt5itSu7GlP9mj27veZhnQ/E/hStvwl4FUL1OSG5hNHRDwYETdlyzuBu0hHXG27eZ6PmbT1fMCCxvJHwD0RMduo94tihjjOBj4WERPZdiMNdu+GPjJrHF3SR5o5HzPpmvNRJ6/9AwBJAv4U+FqD3XPTP6wzujZ5gnRSwKykOgL8ICKuz156u6TbJJ0/Tcm00ZDuU39Q10TEg5D+4QUOWaTm7zWPOGqPcQTw+6T/e5rS9P4LYZ5xBPB9SZslvbVmfdvPByzMOSEdc6T+D28ezskxwEmSrpf0Y0nPabBrN/SRZuKoPcYR5LOPNBtHbvrIQpwP8ts/ppwEPBQRv2qwa676h7VfVydPEVGJiBNIRxV9rqTjgP8CngqcADxIWnat17Eh3RuZRxwASBoCvgm8OyJ2ZKub3n+hzDOOF0XEs4HTgbdJevFit3cmC3BOeoFXAhfXrM7LOSkCK0gvtbwX+Eb2v+xa3dBHmokDyH0faTaO3PSRBTgfee4fU/6CxlUnyFn/sPbr6uRpSkQ8DlwDnBYRD2Udogp8jrS8Wm+mId0fkvQEgOxnqyX0OZtDHEjqIf1H4cKIuLTmWE3tvxjmEkdEbM1+jgAba7br2PnI2tNyLJnTgZsi4qGaY+XinJB+/i/NLlvcAFRJJzutlfs+QnNx5L6P0GQceewjc4kjk+f+gaQi8Brgoml2yWX/sPbp2uRJ0mpJB2XL/cBLgZ9PfWgzrwbuaLD7TEO6Xw68MVt+I/Dfi9H+KfOJI/tf3ReAuyLi3+pea+b3sGDmGcegpGVTy8DLarZr6/nI2jCfz9aUA/7XmpdzAlwGvCRbfwzpDa/1s8Tnvo80E0c39BGaiyM3fWSen6spee4fTC1HxJZpds9N/7AOiRzctT6XB/As4GbgNtJO9sFs/ZeB27P1lwNPyNYfBnynZv8zSL95cw/w/pr1K4GrgV9lPw/OaxzAH5CWim8DbskeZ8y0f07jeArpt1VuBe7s5PlYoM/WALANGK47bl7OSS/wlWzdTcBLurSPzBpHl/SRZuLITR9ZgM9VrvtH9toFwPq67XPZP/zozMPTs5iZmZm1oGsv25mZmZl1gpMnMzMzsxY4eTIzMzNrgZMnMzMzsxY4eTIzMzNrgZMnsy4gqaJ0lvc7JF0saWABjnmypBfWPF8v6Q1zPNau2bea9RgXSDorW/68pGfMsv3e9kp6k6TD5tsGM7NmFDvdADNrylik00gg6UJgPbB30EdJhYiotHjMk4FdwLUAEXHewjR1/iLir5vYpra9byIdq2dr463NzBaOK09m3eenwFFZ5ehHkr5KOrggki5TOnHsnaqZPFbSaZJuknSrpKuVTpK7Hvj7rKJ1kqRzJb0n2/4oSVdl298k6amShrJ9b5J0u6QzD2zaPtmo2N/OjnGHpD/L1n9Q0o3Zug3ZKOD1+14jaV22vEvSh7PjXCdpTbb+XEnvyapV64ALs1heLmljzbFOlXRp/XuYmc2VkyezLqJ0zq3TyZIl0vm/3h8RU5e43hIRJ5ImE++UtFLSatK5wv4kIo4HXhsR9wHnAf8eESdExE/r3upC4DPZ9i8knah1HHh1pJPTngJ8qlHiU+M0YGtEHB8RxwFXZus/HRHPydb1A388S9iDwHVZW34C/E3tixFxCbAJeF1WnfsO8PQsboA3A1+c5T3MzJrm5MmsO/RLuoU0SbifdL42gBsi4tc1271T0q3AdaQTlx5NOsv9T6a2i4hHZ3qjbA61tRGxMdt+PCJGSWeS/4ik24CrgLXAmhkOdTvwUkkfl3RSRGzP1p8i6XpJt5POhfbMWWLfA3wrW94MHDHTxpFOm/Bl4PXZ3GUvAL47y3uYmTXN9zyZdYe99zxNyYo+u2uen0w6oekLImJU0jVAH2nS08o8TNNVk14HrAZOjIiypPuy4zcUEb+UdCLpHGAflfR94BPAfwLrIuIBSefOdIxMOfbNI1Whub9bXwSuIK2WXRwRk03sY2bWFFeezJaOYeCxLHF6GmnFCeB/gT+UdCSApIOz9TuBZfUHiYgdwBZJr8q2L2Xf7hsGRrLE6RTg8Jkak337bTQivgL8K/Bs9iVKj0gaAs6ae7j72S+WiNhKevP4P5FO8mpmtmBceTJbOq4E1meX1X5BeumOiHg4u3n8UkkJMAKcSlqZuSS78fsddcf6K+Czkj4ElIHXkt4HdYWkTcAtwM9nac/vAZ+UVM2OcXZEPC7pc6SX9O4DbpxnzFMuAM6TNEZaeRvL2rs6In62QO9hZgaA9lXDzcyWDkmfBm6OiC/MurGZWQucPJnZkiNpM+n9YKdGxESn22NmS4uTJzMzM7MW+IZxMzMzsxY4eTIzMzNrgZMnMzMzsxY4eTIzMzNrgZMnMzMzsxb8HwiRlL0hEDRRAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots(figsize=(10,10))\n",
    "sc=ax.scatter(Rtraj.PSAL,Rtraj.TEMP,c=Rtraj.PRES)\n",
    "ax.set_title(f\"Vertical Salinity section for float {Rtraj.PLATFORM_NUMBER.astype(str).values}\")\n",
    "ax.set_xlabel(f\"{Rtraj.PSAL.long_name}\")\n",
    "ax.set_ylabel(f\"{Rtraj.TEMP.long_name}\")\n",
    "fig.colorbar(sc);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots(figsize=(15,8))\n",
    "ax.plot(Rtraj.JULD,Rtraj.PRES,'-')\n",
    "sc=ax.scatter(Rtraj.JULD,Rtraj.PRES,c=Rtraj.TEMP)\n",
    "ax.set_xlabel(f\"{Rtraj.JULD.standard_name}\")\n",
    "ax.set_ylabel(f\"{Rtraj.PRES.long_name}\")\n",
    "ax.invert_yaxis()\n",
    "fig.colorbar(sc);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots(figsize=(15,8))\n",
    "ax.plot(Rtraj.JULD,Rtraj.MEASUREMENT_CODE,'o');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}