
.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "examples/Creating_GS_Files/plot_csv_skytem_to_netcdf.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_examples_Creating_GS_Files_plot_csv_skytem_to_netcdf.py>`
        to download the full example code.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_examples_Creating_GS_Files_plot_csv_skytem_to_netcdf.py:


Multi-dataset Survey
--------------------

This example demonstrates the typical workflow for creating a GS file for an AEM survey in its entirety, i.e., the NetCDF file contains all related datasets together, e.g., raw data, processed data, inverted models, and derivative products. Specifically, this survey contains:

1. Minimally processed (raw) AEM data and raw/processed magnetic data provided by SkyTEM
2. Fully processed AEM data used as input to inversion
3. Laterally constrained inverted resistivity models
4. Point-data estimates of bedrock depth derived from the AEM models
5. Interpolated magnetic and bedrock depth grids

Note:
To make the size of this example more managable, some of the input datasets have been downsampled relative to the source files in the data release referenced below.

Dataset Reference:
Minsley, B.J, Bloss, B.R., Hart, D.J., Fitzpatrick, W., Muldoon, M.A., Stewart, E.K., Hunt, R.J., James, S.R., Foks, N.L., and Komiskey, M.J., 2022, Airborne electromagnetic and magnetic survey data, northeast Wisconsin (ver. 1.1, June 2022): U.S. Geological Survey data release, https://doi.org/10.5066/P93SY9LI.

.. GENERATED FROM PYTHON SOURCE LINES 20-28

.. code-block:: Python

    import matplotlib.pyplot as plt
    from os.path import join
    import numpy as np
    import gspy
    from gspy import Survey
    import xarray as xr









.. GENERATED FROM PYTHON SOURCE LINES 29-31

Convert the Skytem csv data to NetCDF
+++++++++++++++++++++++++++++++++++++

.. GENERATED FROM PYTHON SOURCE LINES 33-34

Initialize the Survey

.. GENERATED FROM PYTHON SOURCE LINES 34-47

.. code-block:: Python


    # Path to example files
    data_path = '..//..//..//..//example_material//example_1'

    # Survey metadata file
    metadata = join(data_path, "data//WI_SkyTEM_survey_md.yml")

    # Establish the Survey
    survey = Survey.from_dict(metadata)

    data_container = survey.gs.add_container('data', **dict(content = "raw and processed data",
                                                            comment = "This is a test"))








.. GENERATED FROM PYTHON SOURCE LINES 48-51

1 - Raw Data -
Import raw AEM data from CSV-format.
Define input data file and associated metadata file

.. GENERATED FROM PYTHON SOURCE LINES 51-59

.. code-block:: Python

    d_data1 = join(data_path, 'data//WI_SkyTEM_2021_ContractorData.csv')
    d_supp1 = join(data_path, 'data//WI_SkyTEM_raw_data_md.yml')

    # Add the raw AEM data as a tabular dataset
    data_container.gs.add(key='raw_data', data_filename=d_data1, metadata_file=d_supp1, system=survey.nominal_system)

    print(data_container)





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    <xarray.DataTree 'data'>
    Group: /survey/data
    │   Dimensions:      ()
    │   Data variables:
    │       spatial_ref  float64 8B 0.0
    │   Attributes:
    │       content:  raw and processed data
    │       comment:  This is a test
    │       type:     container
    └── Group: /survey/data/raw_data
        │   Dimensions:          (index: 6785, hm_gate_times: 32, lm_gate_times: 28)
        │   Coordinates:
        │       spatial_ref      float64 8B 0.0
        │     * index            (index) int32 27kB 0 1 2 3 4 5 ... 6780 6781 6782 6783 6784
        │       x                (index) float64 54kB 7.243e+05 7.239e+05 ... 6.604e+05
        │       y                (index) float64 54kB 4.916e+05 4.917e+05 ... 3.866e+05
        │       z                (index) float64 54kB 176.8 217.3 231.6 ... 276.4 288.7
        │       t                (index) float64 54kB 4.422e+04 4.422e+04 ... 4.424e+04
        │     * hm_gate_times    (hm_gate_times) float64 256B 2.886e-05 ... 0.003544
        │     * lm_gate_times    (lm_gate_times) float64 224B -1.135e-06 ... 0.001394
        │   Data variables: (12/34)
        │       _60hz_intensity  (index) float64 54kB -5.744e-08 -4.722e-08 ... -1.557e-07
        │       alt              (index) float64 54kB 276.3 270.1 274.2 ... 320.0 331.7
        │       anglex           (index) float64 54kB 3.284 1.052 2.916 ... -4.419 -4.376
        │       angley           (index) float64 54kB -0.9891 -1.999 ... -1.013 -1.103
        │       base_mag         (index) float64 54kB -1e+04 -1e+04 -1e+04 ... -1e+04 -1e+04
        │       curr_hm          (index) float64 54kB 111.6 111.6 111.5 ... 110.4 110.4
        │       ...               ...
        │       mag_raw          (index) float64 54kB 5.481e+04 5.481e+04 ... 5.413e+04
        │       n_nad83          (index) float64 54kB 4.916e+05 4.917e+05 ... 3.866e+05
        │       n_wgs84          (index) float64 54kB 4.968e+06 4.969e+06 ... 4.866e+06
        │       rmf              (index) float64 54kB 210.6 210.6 197.3 ... -124.5 -120.3
        │       time             (index) object 54kB '17:14:42' '17:15:02' ... '15:01:14'
        │       tmi              (index) float64 54kB 5.482e+04 5.482e+04 ... 5.413e+04
        │   Attributes:
        │       content:     raw data
        │       comment:     This dataset includes minimally processed (raw) AEM and raw/...
        │       type:        data
        │       structure:   tabular
        │       mode:        airborne
        │       method:      electromagnetic
        │       submethod:   time domain
        │       instrument:  skytem
        │       property:    
        └── Group: /survey/data/raw_data/nominal_system
                Dimensions:                              (gate_times: 22, nv: 2,
                                                          lm_gate_times: 28, hm_gate_times: 32,
                                                          n_transmitters: 2,
                                                          lm_waveform_time: 21,
                                                          hm_waveform_time: 36,
                                                          lm_loop_vertices: 8, xyz: 3,
                                                          hm_loop_vertices: 8, n_receivers: 2,
                                                          n_components: 4)
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                  * lm_waveform_time                     (lm_waveform_time) float64 168B -0.0...
                  * hm_waveform_time                     (hm_waveform_time) float64 288B -0.0...
                  * xyz                                  (xyz) int64 24B 0 1 2
                  * lm_loop_vertices                     (lm_loop_vertices) float64 64B 0.0 ....
                  * hm_loop_vertices                     (hm_loop_vertices) float64 64B 0.0 ....
                  * n_receivers                          (n_receivers) int64 16B 0 1
                  * n_components                         (n_components) int64 32B 0 1 2 3
                Data variables: (12/29)
                    gate_times_bnds                      (gate_times, nv) float64 352B 2.036e...
                    lm_gate_times_bnds                   (lm_gate_times, nv) float64 448B -1....
                    hm_gate_times_bnds                   (hm_gate_times, nv) float64 512B 2.8...
                    transmitter_label                    (n_transmitters) <U2 16B 'LM' 'HM'
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                    transmitter_base_frequency           (n_transmitters) float64 16B 210.0 75.0
                    ...                                   ...
                    component_receivers                  (n_components) <U1 16B 'z' 'z' 'x' 'x'
                    component_sample_rate                (n_components) float64 32B 0.1 ... 0.1
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                    component_gate_times                 (n_components) <U13 208B 'LM_gate_ti...
                Attributes:
                    type:        system
                    mode:        airborne
                    method:      electromagnetic
                    submethod:   time domain
                    instrument:  skytem 304M




.. GENERATED FROM PYTHON SOURCE LINES 60-63

2 - Processed Data -
Import processed AEM data from CSV-format.
Define input data file and associated metadata file

.. GENERATED FROM PYTHON SOURCE LINES 63-72

.. code-block:: Python

    d_data2 = join(data_path, 'data//WI_SkyTEM_2021_ProcessedData.csv')
    d_supp2 = join(data_path, 'data//WI_SkyTEM_processed_data_md.yml')

    system = {"skytem_system" : survey["nominal_system"].isel(lm_gate_times=np.s_[1:], hm_gate_times=np.s_[10:]),
              "magnetic_system" : survey["magnetic_system"]}

    # Add the processed AEM data as a tabular dataset
    pd = data_container.gs.add(key='processed_data', data_filename=d_data2, metadata_file=d_supp2, system=system)








.. GENERATED FROM PYTHON SOURCE LINES 73-74

3 - Inverted Models -

.. GENERATED FROM PYTHON SOURCE LINES 74-87

.. code-block:: Python


    # Create a new container for models
    model_container = survey.gs.add_container('models', **dict(content = "Inverted models",
                                                              comment = "This is a test"))

    # Import inverted AEM models from CSV-format.
    # Define input data file and associated metadata file
    m_data3 = join(data_path, 'model//WI_SkyTEM_2021_InvertedModels.csv')
    m_supp3 = join(data_path, 'model//WI_SkyTEM_inverted_models_md.yml')

    # Add the inverted AEM models as a tabular dataset
    model_container.gs.add(key='inverted_models', data_filename=m_data3, metadata_file=m_supp3)






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    Attributes:
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        comment:     This dataset includes inverted resistivity models derived fr...
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        submethod:   time domain
        instrument:  skytem
        property:    electrical resistivity</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataTree</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d1c2df51-c5ad-4fad-bfb0-fc776b5e7e0a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d1c2df51-c5ad-4fad-bfb0-fc776b5e7e0a' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-f52b0e89-00d5-4445-99b1-0956e6d7044f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f52b0e89-00d5-4445-99b1-0956e6d7044f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>index</span>: 11677</li><li><span class='xr-has-index'>layer_depth</span>: 40</li><li><span class='xr-has-index'>nv</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-199133dc-75c8-4783-b398-4b89b7c33495' class='xr-section-summary-in' type='checkbox'  checked><label for='section-199133dc-75c8-4783-b398-4b89b7c33495' class='xr-section-summary' >Coordinates: <span>(8)</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>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-6c7d984b-2fe2-433b-aa5c-e6d882d9b643' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c7d984b-2fe2-433b-aa5c-e6d882d9b643' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c7de38c-5648-47bd-b223-cc2d866cc35d' class='xr-var-data-in' type='checkbox'><label for='data-0c7de38c-5648-47bd-b223-cc2d866cc35d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCRS[&quot;NAD83(HARN) / Wisconsin Transverse Mercator&quot;,BASEGEOGCRS[&quot;NAD83(HARN)&quot;,DATUM[&quot;NAD83 (High Accuracy Reference Network)&quot;,ELLIPSOID[&quot;GRS 1980&quot;,6378137,298.257222101,LENGTHUNIT[&quot;metre&quot;,1]]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433]],ID[&quot;EPSG&quot;,4152]],CONVERSION[&quot;Wisconsin Transverse Mercator 83&quot;,METHOD[&quot;Transverse Mercator&quot;,ID[&quot;EPSG&quot;,9807]],PARAMETER[&quot;Latitude of natural origin&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8801]],PARAMETER[&quot;Longitude of natural origin&quot;,-90,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8802]],PARAMETER[&quot;Scale factor at natural origin&quot;,0.9996,SCALEUNIT[&quot;unity&quot;,1],ID[&quot;EPSG&quot;,8805]],PARAMETER[&quot;False easting&quot;,520000,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8806]],PARAMETER[&quot;False northing&quot;,-4480000,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8807]]],CS[Cartesian,2],AXIS[&quot;easting (X)&quot;,east,ORDER[1],LENGTHUNIT[&quot;metre&quot;,1]],AXIS[&quot;northing (Y)&quot;,north,ORDER[2],LENGTHUNIT[&quot;metre&quot;,1]],USAGE[SCOPE[&quot;State-wide spatial data management.&quot;],AREA[&quot;United States (USA) - Wisconsin.&quot;],BBOX[42.48,-92.89,47.31,-86.25]],ID[&quot;EPSG&quot;,3071]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314140356</dd><dt><span>inverse_flattening :</span></dt><dd>298.257222101</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>GRS 1980</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>NAD83(HARN)</dd><dt><span>horizontal_datum_name :</span></dt><dd>NAD83 (High Accuracy Reference Network)</dd><dt><span>projected_crs_name :</span></dt><dd>NAD83(HARN) / Wisconsin Transverse Mercator</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>-90.0</dd><dt><span>false_easting :</span></dt><dd>520000.0</dd><dt><span>false_northing :</span></dt><dd>-4480000.0</dd><dt><span>scale_factor_at_central_meridian :</span></dt><dd>0.9996</dd><dt><span>authority :</span></dt><dd>EPSG</dd><dt><span>wkid :</span></dt><dd>3071</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>index</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 ... 11673 11674 11675 11676</div><input id='attrs-3d6d4480-a029-4f6c-afba-8d5132e7a752' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d6d4480-a029-4f6c-afba-8d5132e7a752' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c2d5134-e9f9-4c2c-8160-9bb19c404fd3' class='xr-var-data-in' type='checkbox'><label for='data-9c2d5134-e9f9-4c2c-8160-9bb19c404fd3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>index</dd><dt><span>long_name :</span></dt><dd>Index of individual data points</dd><dt><span>units :</span></dt><dd>not_defined</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[    0 11676]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd><dt><span>axis :</span></dt><dd>INDEX</dd></dl></div><div class='xr-var-data'><pre>array([    0,     1,     2, ..., 11674, 11675, 11676], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>layer_depth</span></div><div class='xr-var-dims'>(layer_depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.375 1.16 2.02 ... 262.6 343.8</div><input id='attrs-6f85c8c8-be7a-4fb1-a257-640fd7c1c9b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f85c8c8-be7a-4fb1-a257-640fd7c1c9b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-675746a7-eabc-4d5d-b486-58cbb2e1e9cc' class='xr-var-data-in' type='checkbox'><label for='data-675746a7-eabc-4d5d-b486-58cbb2e1e9cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>layer_depth</dd><dt><span>long_name :</span></dt><dd>Depth to model layer</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[  0.375 343.75 ]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd><dt><span>bounds :</span></dt><dd>layer_depth_bnds</dd></dl></div><div class='xr-var-data'><pre>array([  0.375,   1.16 ,   2.02 ,   2.965,   4.005,   5.145,   6.39 ,   7.755,
             9.255,  10.9  ,  12.7  ,  14.675,  16.845,  19.22 ,  21.825,  24.685,
            27.815,  31.25 ,  35.02 ,  39.15 ,  43.68 ,  48.65 ,  54.095,  60.065,
            66.615,  73.795,  81.67 ,  90.31 ,  99.78 , 110.16 , 121.545, 134.03 ,
           147.72 , 162.73 , 179.19 , 197.24 , 217.035, 238.745, 262.55 , 343.75 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>nv</span></div><div class='xr-var-dims'>(nv)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1</div><input id='attrs-8a3e54f6-ee53-4f3c-b37d-c7bb157d7cc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a3e54f6-ee53-4f3c-b37d-c7bb157d7cc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-785f17f0-5834-48e3-93f6-5efdf4794e16' class='xr-var-data-in' type='checkbox'><label for='data-785f17f0-5834-48e3-93f6-5efdf4794e16' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>nv</dd><dt><span>long_name :</span></dt><dd>Number of vertices for bounding variables</dd><dt><span>units :</span></dt><dd>not_defined</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[0 1]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd><dt><span>axis :</span></dt><dd>NV</dd></dl></div><div class='xr-var-data'><pre>array([0, 1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.243e+05 7.241e+05 ... 7.108e+05</div><input id='attrs-587842ce-8d0b-4034-aac3-c93b46c7cc79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-587842ce-8d0b-4034-aac3-c93b46c7cc79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bf60141-a496-453c-9340-8ccde53b16bb' class='xr-var-data-in' type='checkbox'><label for='data-2bf60141-a496-453c-9340-8ccde53b16bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>Easting, Wisconsin Transverse Mercator (WTM), North American Datum of 1983 (NAD83)</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>valid_range :</span></dt><dd>[655018.1 732089. ]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([724288.6, 724075.9, 723861.9, ..., 710195. , 710499.1, 710770.7])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.916e+05 4.916e+05 ... 4.621e+05</div><input id='attrs-2d607ef6-d7ec-467e-ab69-67c3cdcd2cd1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d607ef6-d7ec-467e-ab69-67c3cdcd2cd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d835aa52-1375-4fb2-95c8-e3c540dd5c9a' class='xr-var-data-in' type='checkbox'><label for='data-d835aa52-1375-4fb2-95c8-e3c540dd5c9a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>Northing, Wisconsin Transverse Mercator (WTM), North American Datum of 1983 (NAD83)</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>valid_range :</span></dt><dd>[380036.3 492707.4]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([491578.8, 491648.9, 491716.5, ..., 462058.6, 462092. , 462119.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>177.1 190.4 208.5 ... 231.2 238.8</div><input id='attrs-56546895-b6dc-4b97-b366-256c4e995b3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56546895-b6dc-4b97-b366-256c4e995b3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3175d3b2-e5e1-4343-8439-7d978bdec814' class='xr-var-data-in' type='checkbox'><label for='data-3175d3b2-e5e1-4343-8439-7d978bdec814' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>z</dd><dt><span>long_name :</span></dt><dd>Digital elevation model</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>datum :</span></dt><dd>North American Vertical Datum of 1988 (NAVD88)</dd><dt><span>valid_range :</span></dt><dd>[176.5 341.3]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([177.1, 190.4, 208.5, ..., 231.6, 231.2, 238.8])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.422e+04 4.422e+04 ... 4.421e+04</div><input id='attrs-df504c2a-ad01-472c-a10b-c5e34ac2f505' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df504c2a-ad01-472c-a10b-c5e34ac2f505' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0759f92-ed1c-48de-b534-e48670ad7a0c' class='xr-var-data-in' type='checkbox'><label for='data-f0759f92-ed1c-48de-b534-e48670ad7a0c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>t</dd><dt><span>long_name :</span></dt><dd>Time, decimal days since January 1, 1900</dd><dt><span>units :</span></dt><dd>day</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>datum :</span></dt><dd>January 1, 1900</dd><dt><span>valid_range :</span></dt><dd>[44214.72473 44235.63572]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([44216.71856, 44216.71867, 44216.71879, ..., 44214.74219,
           44214.74231, 44214.74243])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ba599611-e82c-4bcb-9dfe-8884e381d6df' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ba599611-e82c-4bcb-9dfe-8884e381d6df' class='xr-section-summary'  title='Expand/collapse section'>Inherited 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-5a840ef8-2fb4-444f-8ba9-10c261f7de3b' class='xr-section-summary-in' type='checkbox'  ><label for='section-5a840ef8-2fb4-444f-8ba9-10c261f7de3b' class='xr-section-summary' >Data variables: <span>(22)</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>layer_depth_bnds</span></div><div class='xr-var-dims'>(layer_depth, nv)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.75 0.75 ... 275.0 275.0 412.5</div><input id='attrs-8d1b7b6e-9204-40d6-b36f-3f97a693902c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d1b7b6e-9204-40d6-b36f-3f97a693902c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3e1f024-1d61-457d-a97a-76c07dffd0c7' class='xr-var-data-in' type='checkbox'><label for='data-b3e1f024-1d61-457d-a97a-76c07dffd0c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>layer_depth_bounds</dd><dt><span>long_name :</span></dt><dd>Depth to model layer cell boundaries</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[  0.  412.5]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[  0.  ,   0.75],
           [  0.75,   1.57],
           [  1.57,   2.47],
           [  2.47,   3.46],
           [  3.46,   4.55],
           [  4.55,   5.74],
           [  5.74,   7.04],
           [  7.04,   8.47],
           [  8.47,  10.04],
           [ 10.04,  11.76],
           [ 11.76,  13.64],
           [ 13.64,  15.71],
           [ 15.71,  17.98],
           [ 17.98,  20.46],
           [ 20.46,  23.19],
           [ 23.19,  26.18],
           [ 26.18,  29.45],
           [ 29.45,  33.05],
           [ 33.05,  36.99],
           [ 36.99,  41.31],
           [ 41.31,  46.05],
           [ 46.05,  51.25],
           [ 51.25,  56.94],
           [ 56.94,  63.19],
           [ 63.19,  70.04],
           [ 70.04,  77.55],
           [ 77.55,  85.79],
           [ 85.79,  94.83],
           [ 94.83, 104.73],
           [104.73, 115.59],
           [115.59, 127.5 ],
           [127.5 , 140.56],
           [140.56, 154.88],
           [154.88, 170.58],
           [170.58, 187.8 ],
           [187.8 , 206.68],
           [206.68, 227.39],
           [227.39, 250.1 ],
           [250.1 , 275.  ],
           [275.  , 412.5 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pindex</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 10 20 30 ... 122341 122351 122361</div><input id='attrs-a5c974b3-8379-4fd4-b156-65284e930182' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5c974b3-8379-4fd4-b156-65284e930182' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-237c5d88-95d5-4fd8-ba07-44dadd696858' class='xr-var-data-in' type='checkbox'><label for='data-237c5d88-95d5-4fd8-ba07-44dadd696858' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>processing_index</dd><dt><span>long_name :</span></dt><dd>Unique index number for processing</dd><dt><span>units :</span></dt><dd>not_defined</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[     0 122361]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([     0,     10,     20, ..., 122341, 122351, 122361])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sline_no</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>100100 100100 ... 920000 920000</div><input id='attrs-a21f4815-ff3e-4c7b-9b41-a0370eac558e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a21f4815-ff3e-4c7b-9b41-a0370eac558e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f3ccbc3-1bdf-4d6e-83d3-1b83b36e6e2f' class='xr-var-data-in' type='checkbox'><label for='data-1f3ccbc3-1bdf-4d6e-83d3-1b83b36e6e2f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>master_line</dd><dt><span>long_name :</span></dt><dd>Master line number</dd><dt><span>units :</span></dt><dd>not_defined</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[100100 920000]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([100100, 100100, 100100, ..., 920000, 920000, 920000])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>e_n83wtm</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.243e+05 7.241e+05 ... 7.108e+05</div><input id='attrs-69528fb4-4bc4-4069-8dcd-550503eea4ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69528fb4-4bc4-4069-8dcd-550503eea4ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a813a97-f63a-4d51-bda4-60ae86ceb827' class='xr-var-data-in' type='checkbox'><label for='data-9a813a97-f63a-4d51-bda4-60ae86ceb827' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>easting_nad83</dd><dt><span>long_name :</span></dt><dd>Easting, Wisconsin Transverse Mercator (WTM), North American Datum of 1983 (NAD83)</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>axis :</span></dt><dd>x</dd><dt><span>valid_range :</span></dt><dd>[655018.1 732089. ]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([724288.6, 724075.9, 723861.9, ..., 710195. , 710499.1, 710770.7])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n_n83wtm</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.916e+05 4.916e+05 ... 4.621e+05</div><input id='attrs-92e34dc4-6cef-4e0b-8962-74d84df6249b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92e34dc4-6cef-4e0b-8962-74d84df6249b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ca26353-1ef9-487d-afff-62ec3eb88478' class='xr-var-data-in' type='checkbox'><label for='data-8ca26353-1ef9-487d-afff-62ec3eb88478' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>northing_nad83</dd><dt><span>long_name :</span></dt><dd>Northing, Wisconsin Transverse Mercator (WTM), North American Datum of 1983 (NAD83)</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>axis :</span></dt><dd>y</dd><dt><span>valid_range :</span></dt><dd>[380036.3 492707.4]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([491578.8, 491648.9, 491716.5, ..., 462058.6, 462092. , 462119.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>timestamp</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.422e+04 4.422e+04 ... 4.421e+04</div><input id='attrs-0f52fd70-3ae4-48be-85c8-2667060995e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f52fd70-3ae4-48be-85c8-2667060995e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7ac07db-de38-40f1-9d47-77b5794e3069' class='xr-var-data-in' type='checkbox'><label for='data-f7ac07db-de38-40f1-9d47-77b5794e3069' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>timestamp</dd><dt><span>long_name :</span></dt><dd>Time, decimal days since January 1, 1900</dd><dt><span>units :</span></dt><dd>day</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>axis :</span></dt><dd>t</dd><dt><span>datum :</span></dt><dd>January 1, 1900</dd><dt><span>valid_range :</span></dt><dd>[44214.72473 44235.63572]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([44216.71856, 44216.71867, 44216.71879, ..., 44214.74219,
           44214.74231, 44214.74243])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>record</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>19 29 39 49 ... 1047 1057 1067 1077</div><input id='attrs-2855b19e-5dfd-4be8-8394-afc27be549ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2855b19e-5dfd-4be8-8394-afc27be549ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d088df92-30b3-41a5-aba5-5ed5055aafd2' class='xr-var-data-in' type='checkbox'><label for='data-d088df92-30b3-41a5-aba5-5ed5055aafd2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>record</dd><dt><span>long_name :</span></dt><dd>Workbench record number</dd><dt><span>units :</span></dt><dd>not_defined</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[    2 13262]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([  19,   29,   39, ..., 1057, 1067, 1077])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>elevation</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>177.1 190.4 208.5 ... 231.2 238.8</div><input id='attrs-c48ae0d7-a31d-4baa-a3c9-d61c6ce00f1e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c48ae0d7-a31d-4baa-a3c9-d61c6ce00f1e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5adc0841-1661-4420-8a00-73ac307d2741' class='xr-var-data-in' type='checkbox'><label for='data-5adc0841-1661-4420-8a00-73ac307d2741' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>elevation</dd><dt><span>long_name :</span></dt><dd>Digital elevation model</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>axis :</span></dt><dd>z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>datum :</span></dt><dd>North American Vertical Datum of 1988 (NAVD88)</dd><dt><span>valid_range :</span></dt><dd>[176.5 341.3]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([177.1, 190.4, 208.5, ..., 231.6, 231.2, 238.8])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>alt</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>98.63 77.03 60.45 ... 46.91 30.34</div><input id='attrs-c9b3b9b7-4299-4252-9f63-651373e41bc8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c9b3b9b7-4299-4252-9f63-651373e41bc8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e79c0a80-0f39-4501-a56d-f607a567ecb4' class='xr-var-data-in' type='checkbox'><label for='data-e79c0a80-0f39-4501-a56d-f607a567ecb4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>altitude</dd><dt><span>long_name :</span></dt><dd>DGPS instrument altitude</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[ 18.23 147.6 ]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([98.63, 77.03, 60.45, ..., 52.01, 46.91, 30.34])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>invalt</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>96.5 81.65 64.2 ... 48.3 30.15</div><input id='attrs-0b0d0c95-9d91-4558-b80d-be0237f959fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b0d0c95-9d91-4558-b80d-be0237f959fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9c2bf5e-98fc-4e30-98ea-a43f97aca41d' class='xr-var-data-in' type='checkbox'><label for='data-c9c2bf5e-98fc-4e30-98ea-a43f97aca41d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>inverted_altitude</dd><dt><span>long_name :</span></dt><dd>Inverted instrument altitude</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[ 17.95 151.9 ]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([96.5 , 81.65, 64.2 , ..., 53.79, 48.3 , 30.15])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>invaltstd</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.01 0.0136 ... 0.0212 0.0356</div><input id='attrs-b88167f2-6f9b-4caa-9200-c3cf89f0e8a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b88167f2-6f9b-4caa-9200-c3cf89f0e8a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e294c31e-f5de-4dd4-ade9-e9f1b13e1f59' class='xr-var-data-in' type='checkbox'><label for='data-e294c31e-f5de-4dd4-ade9-e9f1b13e1f59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>inverted_altitude_uncertainty</dd><dt><span>long_name :</span></dt><dd>Standard deviation of inverted instrument altitude</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[0.0034 0.0587]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([0.01  , 0.0136, 0.0165, ..., 0.0187, 0.0212, 0.0356])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>deltaalt</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.13 4.62 3.75 ... 1.78 1.39 -0.19</div><input id='attrs-25e27e42-5c86-4276-9a23-a0cd03c1e028' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25e27e42-5c86-4276-9a23-a0cd03c1e028' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c1ea57c-87e7-4e7b-9b90-f6a7a3003031' class='xr-var-data-in' type='checkbox'><label for='data-3c1ea57c-87e7-4e7b-9b90-f6a7a3003031' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>inverted_altitude_difference</dd><dt><span>long_name :</span></dt><dd>Measured minus inverted altitude</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[-23.4   69.89]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([-2.13,  4.62,  3.75, ...,  1.78,  1.39, -0.19])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>numdata</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>27 27 26 23 28 27 ... 31 30 9 26 25</div><input id='attrs-0c88023e-812e-4840-85d3-80356a4b3592' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c88023e-812e-4840-85d3-80356a4b3592' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a53b4511-b0ea-4b24-bf78-f4a7fdf6cdd6' class='xr-var-data-in' type='checkbox'><label for='data-a53b4511-b0ea-4b24-bf78-f4a7fdf6cdd6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>number_of_data</dd><dt><span>long_name :</span></dt><dd>Number of active time gates</dd><dt><span>units :</span></dt><dd>not_defined</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[ 5 49]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([27, 27, 26, ...,  9, 26, 25])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>resdata</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.701 3.69 1.399 ... 1.794 1.96</div><input id='attrs-9e622c41-c8a0-4899-bf94-b5ad78be8c17' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e622c41-c8a0-4899-bf94-b5ad78be8c17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45bbad07-6b68-44db-a5cf-8b075241b4a1' class='xr-var-data-in' type='checkbox'><label for='data-45bbad07-6b68-44db-a5cf-8b075241b4a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>data_residual</dd><dt><span>long_name :</span></dt><dd>Error-weighted inversion data misfit (target = 1.0)</dd><dt><span>units :</span></dt><dd>not_defined</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[ 0.2297 22.11  ]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([2.701, 3.69 , 1.399, ..., 2.479, 1.794, 1.96 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>restotal</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.208 1.208 1.208 ... 1.012 1.012</div><input id='attrs-f1ef8282-0636-47db-b297-64702560f2dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1ef8282-0636-47db-b297-64702560f2dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b54d694-0207-453d-984c-69053d4500b0' class='xr-var-data-in' type='checkbox'><label for='data-7b54d694-0207-453d-984c-69053d4500b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>total_residual</dd><dt><span>long_name :</span></dt><dd>Total inversion residual (data and model regularization)</dd><dt><span>units :</span></dt><dd>not_defined</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[0.809 1.208]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([1.208, 1.208, 1.208, ..., 1.012, 1.012, 1.012])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RHO_I</span></div><div class='xr-var-dims'>(index, layer_depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>270.3 255.3 225.6 ... 21.32 30.07</div><input id='attrs-a653133b-29ff-4d4b-ba3b-7081086d15a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a653133b-29ff-4d4b-ba3b-7081086d15a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a981ffd8-7e22-4995-b0b9-5267988cf4d3' class='xr-var-data-in' type='checkbox'><label for='data-a981ffd8-7e22-4995-b0b9-5267988cf4d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>layer_resistivity</dd><dt><span>long_name :</span></dt><dd>Inverted layer resistivity</dd><dt><span>units :</span></dt><dd>Ohm*meter</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[1.e-01 2.e+04]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[ 270.3 ,  255.3 ,  225.6 , ...,   96.28,  133.6 ,  376.  ],
           [ 980.9 ,  980.6 ,  986.3 , ...,   63.92,  103.8 ,  157.9 ],
           [1080.  , 1072.  , 1071.  , ...,   45.2 ,   74.89,   79.35],
           ...,
           [ 337.3 ,  322.6 ,  319.1 , ...,   99.19,   98.98,   98.9 ],
           [  91.51,   91.4 ,   91.26, ...,   24.03,   52.88,   73.6 ],
           [ 347.4 ,  348.8 ,  349.4 , ...,   15.5 ,   21.32,   30.07]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RHO_I_STD</span></div><div class='xr-var-dims'>(index, layer_depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.78 2.32 1.88 ... 0.74 1.33 3.34</div><input id='attrs-295e69de-64ee-46e0-a924-82bc4e8f52ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-295e69de-64ee-46e0-a924-82bc4e8f52ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aaee8b4d-a10f-472a-aff6-74b226c9eaa7' class='xr-var-data-in' type='checkbox'><label for='data-aaee8b4d-a10f-472a-aff6-74b226c9eaa7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>layer_resistivity_uncertainty</dd><dt><span>long_name :</span></dt><dd>Uncertainty in inverted layer resistivity</dd><dt><span>units :</span></dt><dd>not_defined</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[3.0e-02 9.8e+01]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[ 3.78,  2.32,  1.88, ...,  3.43,  5.39,  8.25],
           [ 5.13,  3.28,  2.54, ...,  1.99,  3.15,  4.92],
           [ 5.08,  3.22,  2.42, ...,  2.37,  3.85,  5.77],
           ...,
           [ 3.73,  2.42,  2.12, ..., 98.  , 98.  , 98.  ],
           [ 2.45,  1.67,  1.73, ...,  0.7 ,  1.27,  2.04],
           [ 3.1 ,  1.96,  1.83, ...,  0.74,  1.33,  3.34]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DEP_TOP</span></div><div class='xr-var-dims'>(index, layer_depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.75 1.57 ... 227.4 250.1 275.0</div><input id='attrs-50db3485-21ad-4618-893f-1c7599c6f4ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50db3485-21ad-4618-893f-1c7599c6f4ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-093ff8de-f299-4934-83d1-3d605a42ca51' class='xr-var-data-in' type='checkbox'><label for='data-093ff8de-f299-4934-83d1-3d605a42ca51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>depth_top</dd><dt><span>long_name :</span></dt><dd>Top of model layers</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[  0. 275.]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[  0.  ,   0.75,   1.57, ..., 227.39, 250.1 , 275.  ],
           [  0.  ,   0.75,   1.57, ..., 227.39, 250.1 , 275.  ],
           [  0.  ,   0.75,   1.57, ..., 227.39, 250.1 , 275.  ],
           ...,
           [  0.  ,   0.75,   1.57, ..., 227.39, 250.1 , 275.  ],
           [  0.  ,   0.75,   1.57, ..., 227.39, 250.1 , 275.  ],
           [  0.  ,   0.75,   1.57, ..., 227.39, 250.1 , 275.  ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DEP_BOT</span></div><div class='xr-var-dims'>(index, layer_depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.75 1.57 2.47 ... 275.0 412.5</div><input id='attrs-c66d8720-2d75-42e5-952b-4257e8570dbd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c66d8720-2d75-42e5-952b-4257e8570dbd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae041361-d12f-4f13-8904-38a33ac61e5d' class='xr-var-data-in' type='checkbox'><label for='data-ae041361-d12f-4f13-8904-38a33ac61e5d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>depth_bottom</dd><dt><span>long_name :</span></dt><dd>Bottom of model layers</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[  0.75 412.5 ]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[  0.75,   1.57,   2.47, ..., 250.1 , 275.  , 412.5 ],
           [  0.75,   1.57,   2.47, ..., 250.1 , 275.  , 412.5 ],
           [  0.75,   1.57,   2.47, ..., 250.1 , 275.  , 412.5 ],
           ...,
           [  0.75,   1.57,   2.47, ..., 250.1 , 275.  , 412.5 ],
           [  0.75,   1.57,   2.47, ..., 250.1 , 275.  , 412.5 ],
           [  0.75,   1.57,   2.47, ..., 250.1 , 275.  , 412.5 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>doi_conservative</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>168.7 190.7 189.8 ... 228.0 233.6</div><input id='attrs-04069b08-3b48-4c5e-a6a8-c7aa1f5a91b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-04069b08-3b48-4c5e-a6a8-c7aa1f5a91b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2c80bed-c38e-4e2e-8302-2f0f1c8b8358' class='xr-var-data-in' type='checkbox'><label for='data-b2c80bed-c38e-4e2e-8302-2f0f1c8b8358' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>depth_of_investigation_conservative</dd><dt><span>long_name :</span></dt><dd>Conservative estimate of depth of investigation (DOI)</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[  0.75  275.033]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([168.696, 190.686, 189.756, ...,  14.07 , 228.038, 233.56 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>doi_standard</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>186.8 212.1 208.0 ... 254.0 262.3</div><input id='attrs-9d44f1e6-2dbe-4c73-8bf3-a993b71f47aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d44f1e6-2dbe-4c73-8bf3-a993b71f47aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7dc0aaaa-01f1-4d06-ad79-53b82750f1f8' class='xr-var-data-in' type='checkbox'><label for='data-7dc0aaaa-01f1-4d06-ad79-53b82750f1f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>depth_of_investigation_standard</dd><dt><span>long_name :</span></dt><dd>Standard estimate of depth of investigation (DOI)</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[  2.822 275.033]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([186.776, 212.071, 207.962, ...,  26.343, 253.974, 262.286])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>line_no</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>100101 100101 ... 920006 920006</div><input id='attrs-b077e379-6ada-48e0-aab9-79a7f387ee26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b077e379-6ada-48e0-aab9-79a7f387ee26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1f54e21-2138-4daa-8cfd-351566fe1e8e' class='xr-var-data-in' type='checkbox'><label for='data-c1f54e21-2138-4daa-8cfd-351566fe1e8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>line_number</dd><dt><span>long_name :</span></dt><dd>Line number</dd><dt><span>units :</span></dt><dd>not_defined</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[100101 920006]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([100101, 100101, 100101, ..., 920006, 920006, 920006])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4d13e1a1-8d7c-4cfa-ac35-0dd6544b46fc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4d13e1a1-8d7c-4cfa-ac35-0dd6544b46fc' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>content :</span></dt><dd>inverted resistivity models</dd><dt><span>comment :</span></dt><dd>This dataset includes inverted resistivity models derived from processed AEM data produced by USGS</dd><dt><span>type :</span></dt><dd>model</dd><dt><span>structure :</span></dt><dd>tabular</dd><dt><span>mode :</span></dt><dd>airborne</dd><dt><span>method :</span></dt><dd>electromagnetic</dd><dt><span>submethod :</span></dt><dd>time domain</dd><dt><span>instrument :</span></dt><dd>skytem</dd><dt><span>property :</span></dt><dd>electrical resistivity</dd></dl></div></li></ul></div></div>
    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 88-91

4 - Bedrock Picks -
Import AEM-based estimated of depth to bedrock from CSV-format.
Define input data file and associated metadata file

.. GENERATED FROM PYTHON SOURCE LINES 91-97

.. code-block:: Python

    d_data4 = join(data_path, 'data//topDolomite_Blocky_LidarDEM.csv')
    d_supp4 = join(data_path, 'data//WI_SkyTEM_bedrock_picks_md.yml')

    # Add the AEM-based estimated of depth to bedrock as a tabular dataset
    data_container.gs.add(key='depth_to_bedrock', data_filename=d_data4, metadata_file=d_supp4)






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    </style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 6MB
    Dimensions:       (index: 82864)
    Coordinates:
        spatial_ref   float64 8B 0.0
      * index         (index) int32 331kB 0 1 2 3 4 ... 82860 82861 82862 82863
        x             (index) float64 663kB 7.243e+05 7.243e+05 ... 6.594e+05
        y             (index) float64 663kB 4.916e+05 4.916e+05 ... 4e+05 4e+05
    Data variables:
        id            (index) int64 663kB 1 2 3 4 5 ... 102684 102685 102686 102687
        e_n83wtm      (index) float64 663kB 7.243e+05 7.243e+05 ... 6.594e+05
        n_n83wtm      (index) float64 663kB 4.916e+05 4.916e+05 ... 4e+05 4e+05
        br_elevation  (index) float64 663kB 167.8 178.3 180.2 ... 291.3 291.3 292.7
        zstd          (index) float64 663kB 1.01 1.01 1.01 1.01 ... 1.11 1.11 1.11
        origintype    (index) int64 663kB 3 3 3 3 3 3 3 3 3 3 ... 0 0 0 0 0 0 0 0 0
        editdate      (index) object 663kB &#x27;6/6/2021 21:46&#x27; ... &#x27;7/23/2021 23:22&#x27;
    Attributes:
        content:     bedrock elevation points
        comment:     This dataset includes AEM-derived point estimates of the ele...
        type:        data
        structure:   tabular
        mode:        
        method:      
        submethod:   
        instrument:  
        property:    </pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataTree</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-776b9c96-8021-477f-b41d-7283641239af' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-776b9c96-8021-477f-b41d-7283641239af' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-68b0383c-4d29-4660-8d1a-a31f7a7731de' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-68b0383c-4d29-4660-8d1a-a31f7a7731de' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>index</span>: 82864</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-88dfc444-4e15-43f6-8417-b559267bbaa1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-88dfc444-4e15-43f6-8417-b559267bbaa1' class='xr-section-summary' >Coordinates: <span>(4)</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>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-77ed5287-358f-4309-a5e3-ac8dd9c32a3e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77ed5287-358f-4309-a5e3-ac8dd9c32a3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30767664-3261-4f22-b23e-f917e1173416' class='xr-var-data-in' type='checkbox'><label for='data-30767664-3261-4f22-b23e-f917e1173416' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCRS[&quot;NAD83(HARN) / Wisconsin Transverse Mercator&quot;,BASEGEOGCRS[&quot;NAD83(HARN)&quot;,DATUM[&quot;NAD83 (High Accuracy Reference Network)&quot;,ELLIPSOID[&quot;GRS 1980&quot;,6378137,298.257222101,LENGTHUNIT[&quot;metre&quot;,1]]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433]],ID[&quot;EPSG&quot;,4152]],CONVERSION[&quot;Wisconsin Transverse Mercator 83&quot;,METHOD[&quot;Transverse Mercator&quot;,ID[&quot;EPSG&quot;,9807]],PARAMETER[&quot;Latitude of natural origin&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8801]],PARAMETER[&quot;Longitude of natural origin&quot;,-90,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8802]],PARAMETER[&quot;Scale factor at natural origin&quot;,0.9996,SCALEUNIT[&quot;unity&quot;,1],ID[&quot;EPSG&quot;,8805]],PARAMETER[&quot;False easting&quot;,520000,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8806]],PARAMETER[&quot;False northing&quot;,-4480000,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8807]]],CS[Cartesian,2],AXIS[&quot;easting (X)&quot;,east,ORDER[1],LENGTHUNIT[&quot;metre&quot;,1]],AXIS[&quot;northing (Y)&quot;,north,ORDER[2],LENGTHUNIT[&quot;metre&quot;,1]],USAGE[SCOPE[&quot;State-wide spatial data management.&quot;],AREA[&quot;United States (USA) - Wisconsin.&quot;],BBOX[42.48,-92.89,47.31,-86.25]],ID[&quot;EPSG&quot;,3071]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314140356</dd><dt><span>inverse_flattening :</span></dt><dd>298.257222101</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>GRS 1980</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>NAD83(HARN)</dd><dt><span>horizontal_datum_name :</span></dt><dd>NAD83 (High Accuracy Reference Network)</dd><dt><span>projected_crs_name :</span></dt><dd>NAD83(HARN) / Wisconsin Transverse Mercator</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>-90.0</dd><dt><span>false_easting :</span></dt><dd>520000.0</dd><dt><span>false_northing :</span></dt><dd>-4480000.0</dd><dt><span>scale_factor_at_central_meridian :</span></dt><dd>0.9996</dd><dt><span>authority :</span></dt><dd>EPSG</dd><dt><span>wkid :</span></dt><dd>3071</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>index</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 ... 82860 82861 82862 82863</div><input id='attrs-a0e573b9-dd24-47e1-a89a-1f97c425294e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0e573b9-dd24-47e1-a89a-1f97c425294e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54f6716c-a0b6-45d1-9302-d7433e85fedf' class='xr-var-data-in' type='checkbox'><label for='data-54f6716c-a0b6-45d1-9302-d7433e85fedf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>index</dd><dt><span>long_name :</span></dt><dd>Index of individual data points</dd><dt><span>units :</span></dt><dd>not_defined</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[    0 82863]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd><dt><span>axis :</span></dt><dd>INDEX</dd></dl></div><div class='xr-var-data'><pre>array([    0,     1,     2, ..., 82861, 82862, 82863], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.243e+05 7.243e+05 ... 6.594e+05</div><input id='attrs-6e31c8bf-0a21-476e-af15-eb27b6f2ea1d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e31c8bf-0a21-476e-af15-eb27b6f2ea1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e543fc52-b4d6-435c-b8a3-bbbb3e4d9494' class='xr-var-data-in' type='checkbox'><label for='data-e543fc52-b4d6-435c-b8a3-bbbb3e4d9494' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>Easting, Wisconsin Transverse Mercator (WTM), North American Datum of 1983 (NAD83)</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>valid_range :</span></dt><dd>[655129.59 732315.69]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([724288.59, 724267.8 , 724246.9 , ..., 659413.3 , 659300.49,
           659371.89])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.916e+05 4.916e+05 ... 4e+05 4e+05</div><input id='attrs-ebc6e1f1-526f-4ec9-b312-b0e2c6e36de9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ebc6e1f1-526f-4ec9-b312-b0e2c6e36de9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59ccd84f-7844-47df-b6c1-9de6e7b8f70a' class='xr-var-data-in' type='checkbox'><label for='data-59ccd84f-7844-47df-b6c1-9de6e7b8f70a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>Northing, Wisconsin Transverse Mercator (WTM), North American Datum of 1983 (NAD83)</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>valid_range :</span></dt><dd>[379975.8  492716.09]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([491578.79, 491588.7 , 491598.09, ..., 399972.3 , 400028.89,
           399992.1 ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-33702ac0-3cfe-4d0e-a679-3af1158636cf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-33702ac0-3cfe-4d0e-a679-3af1158636cf' class='xr-section-summary'  title='Expand/collapse section'>Inherited 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-4bcd03e8-7ca2-44ca-a6d5-5e7c8132b2cf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4bcd03e8-7ca2-44ca-a6d5-5e7c8132b2cf' class='xr-section-summary' >Data variables: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>id</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 ... 102685 102686 102687</div><input id='attrs-5a3b86a1-855b-4d30-a0cf-6487bba8c9b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a3b86a1-855b-4d30-a0cf-6487bba8c9b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07401b42-e071-485f-8104-ee24d2a72566' class='xr-var-data-in' type='checkbox'><label for='data-07401b42-e071-485f-8104-ee24d2a72566' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>identifier</dd><dt><span>long_name :</span></dt><dd>Unique identifier</dd><dt><span>units :</span></dt><dd>not_defined</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[     1 102687]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([     1,      2,      3, ..., 102685, 102686, 102687])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>e_n83wtm</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.243e+05 7.243e+05 ... 6.594e+05</div><input id='attrs-d3a71d4c-023f-4bfe-92fe-6efd3ab20c25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3a71d4c-023f-4bfe-92fe-6efd3ab20c25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e7fb4ac-d3f2-4702-a6fe-c4e60fe329b3' class='xr-var-data-in' type='checkbox'><label for='data-8e7fb4ac-d3f2-4702-a6fe-c4e60fe329b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>easting</dd><dt><span>long_name :</span></dt><dd>Easting, Wisconsin Transverse Mercator (WTM), North American Datum of 1983 (NAD83)</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>axis :</span></dt><dd>x</dd><dt><span>valid_range :</span></dt><dd>[655129.59 732315.69]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([724288.59, 724267.8 , 724246.9 , ..., 659413.3 , 659300.49,
           659371.89])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n_n83wtm</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.916e+05 4.916e+05 ... 4e+05 4e+05</div><input id='attrs-3f158216-98bd-4b9a-b08a-e8045823f621' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f158216-98bd-4b9a-b08a-e8045823f621' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30576e05-c316-401a-b390-c53a425cc4d3' class='xr-var-data-in' type='checkbox'><label for='data-30576e05-c316-401a-b390-c53a425cc4d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>northing</dd><dt><span>long_name :</span></dt><dd>Northing, Wisconsin Transverse Mercator (WTM), North American Datum of 1983 (NAD83)</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>axis :</span></dt><dd>y</dd><dt><span>valid_range :</span></dt><dd>[379975.8  492716.09]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([491578.79, 491588.7 , 491598.09, ..., 399972.3 , 400028.89,
           399992.1 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>br_elevation</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>167.8 178.3 180.2 ... 291.3 292.7</div><input id='attrs-24d69c0b-abcf-4fca-a252-bd544722f30d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24d69c0b-abcf-4fca-a252-bd544722f30d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-990c7d13-41d1-4bfb-86ad-a60632306bf7' class='xr-var-data-in' type='checkbox'><label for='data-990c7d13-41d1-4bfb-86ad-a60632306bf7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>top_bedrock_elevation</dd><dt><span>long_name :</span></dt><dd>Elevation, top of dolomite bedrock, North American Vertical Datum of 1988 (NAVD88)</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[136.66 341.88]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([167.82, 178.34, 180.18, ..., 291.3 , 291.3 , 292.7 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zstd</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.01 1.01 1.01 ... 1.11 1.11 1.11</div><input id='attrs-f7fe2594-457d-44f3-a8a2-c51be9fbbd3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7fe2594-457d-44f3-a8a2-c51be9fbbd3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54944fb8-7584-476c-8fc7-ce5fb6ade99b' class='xr-var-data-in' type='checkbox'><label for='data-54944fb8-7584-476c-8fc7-ce5fb6ade99b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>elevation_uncertainty</dd><dt><span>long_name :</span></dt><dd>Standard devation of top bedrock elevation</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[ 1. 10.]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([1.01, 1.01, 1.01, ..., 1.11, 1.11, 1.11])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>origintype</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>3 3 3 3 3 3 3 3 ... 0 0 0 0 0 0 0 0</div><input id='attrs-8e82202f-4df7-4e3b-b441-6b9b7a54080a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e82202f-4df7-4e3b-b441-6b9b7a54080a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75744625-efd0-426f-acae-5ec5c72ebb83' class='xr-var-data-in' type='checkbox'><label for='data-75744625-efd0-426f-acae-5ec5c72ebb83' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>point_origin</dd><dt><span>long_name :</span></dt><dd>Point origin type; 3 = automated pick from resistivity value; 0 = manual pick</dd><dt><span>units :</span></dt><dd>not_defined</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[0 3]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([3, 3, 3, ..., 0, 0, 0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>editdate</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;6/6/2021 21:46&#x27; ... &#x27;7/23/2021 ...</div><input id='attrs-9fc04562-de39-4311-9203-a5af6ee62a80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9fc04562-de39-4311-9203-a5af6ee62a80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28bcb143-764a-4593-8c1e-7bd8aafc0eea' class='xr-var-data-in' type='checkbox'><label for='data-28bcb143-764a-4593-8c1e-7bd8aafc0eea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>edit_date</dd><dt><span>long_name :</span></dt><dd>Date of interpretation point</dd><dt><span>units :</span></dt><dd>not_defined</dd><dt><span>format :</span></dt><dd>M/D/YYYY H:MM</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;6/6/2021 21:46&#x27;, &#x27;6/6/2021 21:46&#x27;, &#x27;6/6/2021 21:46&#x27;, ...,
           &#x27;7/23/2021 23:22&#x27;, &#x27;7/23/2021 23:22&#x27;, &#x27;7/23/2021 23:22&#x27;],
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    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 98-99

5 - Derivative Maps -

.. GENERATED FROM PYTHON SOURCE LINES 99-110

.. code-block:: Python


    # We can add arbitrarily named containers to the survey
    derived_products = survey.gs.add_container('derived_products', **dict(content = "products derived from other data and models"))

    # Import interpolated bedrock and magnetic maps from TIF-format.
    # Define input metadata file (which contains the TIF filenames linked to variable names)
    m_supp5 = join(data_path, 'data//WI_SkyTEM_mag_bedrock_grids_md.yml')

    # Add the interpolated maps as a raster dataset
    derived_products.gs.add(key='maps', metadata_file=m_supp5)






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    .xr-var-name:hover,
    .xr-var-dims:hover,
    .xr-var-dtype:hover,
    .xr-attrs dt:hover {
      overflow: visible;
      width: auto;
      z-index: 1;
    }

    .xr-var-attrs,
    .xr-var-data,
    .xr-index-data {
      display: none;
      background-color: var(--xr-background-color) !important;
      padding-bottom: 5px !important;
    }

    .xr-var-attrs-in:checked ~ .xr-var-attrs,
    .xr-var-data-in:checked ~ .xr-var-data,
    .xr-index-data-in:checked ~ .xr-index-data {
      display: block;
    }

    .xr-var-data > table {
      float: right;
    }

    .xr-var-name span,
    .xr-var-data,
    .xr-index-name div,
    .xr-index-data,
    .xr-attrs {
      padding-left: 25px !important;
    }

    .xr-attrs,
    .xr-var-attrs,
    .xr-var-data,
    .xr-index-data {
      grid-column: 1 / -1;
    }

    dl.xr-attrs {
      padding: 0;
      margin: 0;
      display: grid;
      grid-template-columns: 125px auto;
    }

    .xr-attrs dt,
    .xr-attrs dd {
      padding: 0;
      margin: 0;
      float: left;
      padding-right: 10px;
      width: auto;
    }

    .xr-attrs dt {
      font-weight: normal;
      grid-column: 1;
    }

    .xr-attrs dt:hover span {
      display: inline-block;
      background: var(--xr-background-color);
      padding-right: 10px;
    }

    .xr-attrs dd {
      grid-column: 2;
      white-space: pre-wrap;
      word-break: break-all;
    }

    .xr-icon-database,
    .xr-icon-file-text2,
    .xr-no-icon {
      display: inline-block;
      vertical-align: middle;
      width: 1em;
      height: 1.5em !important;
      stroke-width: 0;
      stroke: currentColor;
      fill: currentColor;
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    </style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 22MB
    Dimensions:                (x: 799, nv: 2, y: 1155)
    Coordinates:
        spatial_ref            float64 8B 0.0
      * x                      (x) float64 6kB 6.551e+05 6.552e+05 ... 7.349e+05
      * nv                     (nv) int64 16B 0 1
      * y                      (y) float64 9kB 4.953e+05 4.952e+05 ... 3.799e+05
    Data variables:
        x_bnds                 (x, nv) float64 13kB 6.55e+05 6.551e+05 ... 7.349e+05
        y_bnds                 (y, nv) float64 18kB 4.954e+05 ... 3.799e+05
        magnetic_tmi           (y, x) float64 7MB nan nan nan nan ... nan nan nan
        magnetic_rmf           (y, x) float64 7MB nan nan nan nan ... nan nan nan
        bedrock_top_elevation  (y, x) float32 4MB nan nan nan nan ... nan nan nan
        bedrock_depth          (y, x) float32 4MB nan nan nan nan ... nan nan nan
    Attributes:
        content:     gridded magnetic and bedrock maps
        comment:     This dataset includes AEM-derived estimates of the elevation...
        type:        data
        structure:   raster
        mode:        airborne
        method:      electromagnetic
        submethod:   time domain
        instrument:  skytem
        property:    [&#x27;magnetic&#x27;, &#x27;depth to bedrock&#x27;]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataTree</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-58c22eb8-dba0-4e28-a4ef-fc28fc8c2646' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-58c22eb8-dba0-4e28-a4ef-fc28fc8c2646' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-d851671a-bf53-4913-8db4-9c009ec236f0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d851671a-bf53-4913-8db4-9c009ec236f0' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 799</li><li><span class='xr-has-index'>nv</span>: 2</li><li><span class='xr-has-index'>y</span>: 1155</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cd85f863-1c4f-4a99-991f-c3831715bec9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cd85f863-1c4f-4a99-991f-c3831715bec9' class='xr-section-summary' >Coordinates: <span>(4)</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>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-60202130-c988-447f-b865-b61950b353aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60202130-c988-447f-b865-b61950b353aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0fe264a8-179f-49ca-9728-3f180ff415e5' class='xr-var-data-in' type='checkbox'><label for='data-0fe264a8-179f-49ca-9728-3f180ff415e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCRS[&quot;NAD83(HARN) / Wisconsin Transverse Mercator&quot;,BASEGEOGCRS[&quot;NAD83(HARN)&quot;,DATUM[&quot;NAD83 (High Accuracy Reference Network)&quot;,ELLIPSOID[&quot;GRS 1980&quot;,6378137,298.257222101,LENGTHUNIT[&quot;metre&quot;,1]]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433]],ID[&quot;EPSG&quot;,4152]],CONVERSION[&quot;Wisconsin Transverse Mercator 83&quot;,METHOD[&quot;Transverse Mercator&quot;,ID[&quot;EPSG&quot;,9807]],PARAMETER[&quot;Latitude of natural origin&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8801]],PARAMETER[&quot;Longitude of natural origin&quot;,-90,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8802]],PARAMETER[&quot;Scale factor at natural origin&quot;,0.9996,SCALEUNIT[&quot;unity&quot;,1],ID[&quot;EPSG&quot;,8805]],PARAMETER[&quot;False easting&quot;,520000,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8806]],PARAMETER[&quot;False northing&quot;,-4480000,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8807]]],CS[Cartesian,2],AXIS[&quot;easting (X)&quot;,east,ORDER[1],LENGTHUNIT[&quot;metre&quot;,1]],AXIS[&quot;northing (Y)&quot;,north,ORDER[2],LENGTHUNIT[&quot;metre&quot;,1]],USAGE[SCOPE[&quot;State-wide spatial data management.&quot;],AREA[&quot;United States (USA) - Wisconsin.&quot;],BBOX[42.48,-92.89,47.31,-86.25]],ID[&quot;EPSG&quot;,3071]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314140356</dd><dt><span>inverse_flattening :</span></dt><dd>298.257222101</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>GRS 1980</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>NAD83(HARN)</dd><dt><span>horizontal_datum_name :</span></dt><dd>NAD83 (High Accuracy Reference Network)</dd><dt><span>projected_crs_name :</span></dt><dd>NAD83(HARN) / Wisconsin Transverse Mercator</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>-90.0</dd><dt><span>false_easting :</span></dt><dd>520000.0</dd><dt><span>false_northing :</span></dt><dd>-4480000.0</dd><dt><span>scale_factor_at_central_meridian :</span></dt><dd>0.9996</dd><dt><span>authority :</span></dt><dd>EPSG</dd><dt><span>wkid :</span></dt><dd>3071</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.551e+05 6.552e+05 ... 7.349e+05</div><input id='attrs-d8fcf705-ef7b-4bd8-af6d-b6752413e775' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8fcf705-ef7b-4bd8-af6d-b6752413e775' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac75a979-b0eb-4f23-a70a-2616a314d5d6' class='xr-var-data-in' type='checkbox'><label for='data-ac75a979-b0eb-4f23-a70a-2616a314d5d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>Easting, Wisconsin Transverse Mercator (WTM), North American Datum of 1983 (NAD83)</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>valid_range :</span></dt><dd>[655072.0482 734872.0482]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd><dt><span>bounds :</span></dt><dd>x_bnds</dd></dl></div><div class='xr-var-data'><pre>array([655072.0482, 655172.0482, 655272.0482, ..., 734672.0482, 734772.0482,
           734872.0482])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>nv</span></div><div class='xr-var-dims'>(nv)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1</div><input id='attrs-2243176c-310f-45ea-bfe4-dc8ccd8bd76b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2243176c-310f-45ea-bfe4-dc8ccd8bd76b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-819f5434-4154-4782-9dca-c687bdcb9c8e' class='xr-var-data-in' type='checkbox'><label for='data-819f5434-4154-4782-9dca-c687bdcb9c8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>nv</dd><dt><span>long_name :</span></dt><dd>Number of vertices for bounding variables</dd><dt><span>units :</span></dt><dd>not_defined</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>valid_range :</span></dt><dd>[0 1]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd><dt><span>axis :</span></dt><dd>NV</dd></dl></div><div class='xr-var-data'><pre>array([0, 1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.953e+05 4.952e+05 ... 3.799e+05</div><input id='attrs-f3379e7b-1c0e-48f1-9f5c-2dbdee4a7ae6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f3379e7b-1c0e-48f1-9f5c-2dbdee4a7ae6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ac7b428-4461-4164-a384-a24f452c92ec' class='xr-var-data-in' type='checkbox'><label for='data-6ac7b428-4461-4164-a384-a24f452c92ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>Northing, Wisconsin Transverse Mercator (WTM), North American Datum of 1983 (NAD83)</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>valid_range :</span></dt><dd>[379902.3947 495302.3947]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd><dt><span>bounds :</span></dt><dd>y_bnds</dd></dl></div><div class='xr-var-data'><pre>array([495302.3947, 495202.3947, 495102.3947, ..., 380102.3947, 380002.3947,
           379902.3947])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f4fe6a0b-de4f-4ed7-b614-57850c62c9af' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f4fe6a0b-de4f-4ed7-b614-57850c62c9af' class='xr-section-summary'  title='Expand/collapse section'>Inherited 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-a4f7e953-31ad-476a-928e-aef28ee87221' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a4f7e953-31ad-476a-928e-aef28ee87221' class='xr-section-summary' >Data variables: <span>(6)</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>x_bnds</span></div><div class='xr-var-dims'>(x, nv)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.55e+05 6.551e+05 ... 7.349e+05</div><input id='attrs-f868ea97-3de6-4206-9e68-b0e0816cac1d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f868ea97-3de6-4206-9e68-b0e0816cac1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8c1c952-1aee-49e4-b021-bce8c26df167' class='xr-var-data-in' type='checkbox'><label for='data-f8c1c952-1aee-49e4-b021-bce8c26df167' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_x_coordinate_bounds</dd><dt><span>long_name :</span></dt><dd>Easting, Wisconsin Transverse Mercator (WTM), North American Datum of 1983 (NAD83) cell boundaries</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>valid_range :</span></dt><dd>[655022.0482 734922.0482]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[655022.0482, 655122.0482],
           [655122.0482, 655222.0482],
           [655222.0482, 655322.0482],
           ...,
           [734622.0482, 734722.0482],
           [734722.0482, 734822.0482],
           [734822.0482, 734922.0482]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y_bnds</span></div><div class='xr-var-dims'>(y, nv)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.954e+05 4.953e+05 ... 3.799e+05</div><input id='attrs-cefea753-ef74-410b-b9a4-a3a319901faa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cefea753-ef74-410b-b9a4-a3a319901faa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ae2cb30-51a0-423d-9bf0-6f6edbb410fe' class='xr-var-data-in' type='checkbox'><label for='data-3ae2cb30-51a0-423d-9bf0-6f6edbb410fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_y_coordinate_bounds</dd><dt><span>long_name :</span></dt><dd>Northing, Wisconsin Transverse Mercator (WTM), North American Datum of 1983 (NAD83) cell boundaries</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>null_value :</span></dt><dd>not_defined</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>valid_range :</span></dt><dd>[379852.3947 495352.3947]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[495352.3947, 495252.3947],
           [495252.3947, 495152.3947],
           [495152.3947, 495052.3947],
           ...,
           [380152.3947, 380052.3947],
           [380052.3947, 379952.3947],
           [379952.3947, 379852.3947]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>magnetic_tmi</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-9a063bbe-8b6f-42aa-88e6-72292da63028' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a063bbe-8b6f-42aa-88e6-72292da63028' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7c117a1-cf15-4e4a-b843-3b9ad3b4f8cc' class='xr-var-data-in' type='checkbox'><label for='data-a7c117a1-cf15-4e4a-b843-3b9ad3b4f8cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>total_magnetic_intensity</dd><dt><span>long_name :</span></dt><dd>Total magnetic intensity, diurnally corrected and filtered</dd><dt><span>units :</span></dt><dd>nanoTesla</dd><dt><span>null_value :</span></dt><dd>-9999.99</dd><dt><span>valid_range :</span></dt><dd>[53745.6015625  55396.48828125]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],
           [nan, nan, nan, ..., nan, nan, nan],
           [nan, nan, nan, ..., nan, nan, nan],
           ...,
           [nan, nan, nan, ..., nan, nan, nan],
           [nan, nan, nan, ..., nan, nan, nan],
           [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>magnetic_rmf</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-c9bc2133-4c0f-4ace-971b-8af800c6fc07' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c9bc2133-4c0f-4ace-971b-8af800c6fc07' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71c43205-da0e-4e99-b4be-7e3c302fa94d' class='xr-var-data-in' type='checkbox'><label for='data-71c43205-da0e-4e99-b4be-7e3c302fa94d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>residual_magnetic_field</dd><dt><span>long_name :</span></dt><dd>Residual magnetic field, IGRF corrected from 2015 model</dd><dt><span>units :</span></dt><dd>nanoTesla</dd><dt><span>null_value :</span></dt><dd>-9999.99</dd><dt><span>valid_range :</span></dt><dd>[-478.36932373  815.26867676]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],
           [nan, nan, nan, ..., nan, nan, nan],
           [nan, nan, nan, ..., nan, nan, nan],
           ...,
           [nan, nan, nan, ..., nan, nan, nan],
           [nan, nan, nan, ..., nan, nan, nan],
           [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bedrock_top_elevation</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-7cb27bed-ef19-4844-92b6-cdae612a15f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7cb27bed-ef19-4844-92b6-cdae612a15f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5c3021d-83ac-4c19-8fba-7b518f94f255' class='xr-var-data-in' type='checkbox'><label for='data-d5c3021d-83ac-4c19-8fba-7b518f94f255' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>bedrock_top_elevation</dd><dt><span>long_name :</span></dt><dd>Elevation, top of dolomite bedrock, North American Vertical Datum of 1988 (NAVD88)</dd><dt><span>units :</span></dt><dd>foot</dd><dt><span>null_value :</span></dt><dd>-9999.99</dd><dt><span>valid_range :</span></dt><dd>[ 465.18433 1119.9767 ]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],
           [nan, nan, nan, ..., nan, nan, nan],
           [nan, nan, nan, ..., nan, nan, nan],
           ...,
           [nan, nan, nan, ..., nan, nan, nan],
           [nan, nan, nan, ..., nan, nan, nan],
           [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bedrock_depth</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-fc3deee2-9aa2-4eae-8b88-a6eb5f1f90d4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc3deee2-9aa2-4eae-8b88-a6eb5f1f90d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c809ac61-238e-4073-a16b-e003866c933d' class='xr-var-data-in' type='checkbox'><label for='data-c809ac61-238e-4073-a16b-e003866c933d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>bedrock_depth</dd><dt><span>long_name :</span></dt><dd>Depth to bedrock</dd><dt><span>units :</span></dt><dd>foot</dd><dt><span>null_value :</span></dt><dd>-9999.9</dd><dt><span>valid_range :</span></dt><dd>[4.3053017e-04 2.7054633e+02]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],
           [nan, nan, nan, ..., nan, nan, nan],
           [nan, nan, nan, ..., nan, nan, nan],
           ...,
           [nan, nan, nan, ..., nan, nan, nan],
           [nan, nan, nan, ..., nan, nan, nan],
           [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f3f1be71-00bd-480f-9cea-0b46bb057622' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f3f1be71-00bd-480f-9cea-0b46bb057622' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>content :</span></dt><dd>gridded magnetic and bedrock maps</dd><dt><span>comment :</span></dt><dd>This dataset includes AEM-derived estimates of the elevation of the top of bedrock produced by USGS</dd><dt><span>type :</span></dt><dd>data</dd><dt><span>structure :</span></dt><dd>raster</dd><dt><span>mode :</span></dt><dd>airborne</dd><dt><span>method :</span></dt><dd>electromagnetic</dd><dt><span>submethod :</span></dt><dd>time domain</dd><dt><span>instrument :</span></dt><dd>skytem</dd><dt><span>property :</span></dt><dd>[&#x27;magnetic&#x27;, &#x27;depth to bedrock&#x27;]</dd></dl></div></li></ul></div></div>
    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 111-112

Save to NetCDF file

.. GENERATED FROM PYTHON SOURCE LINES 112-115

.. code-block:: Python

    d_out = join(data_path, 'model//WISkyTEM.nc')
    survey.gs.to_netcdf(d_out)








.. GENERATED FROM PYTHON SOURCE LINES 116-117

The gspy goal is to have the complete survey in a single file. However, we can also save containers or datasets separately.

.. GENERATED FROM PYTHON SOURCE LINES 117-120

.. code-block:: Python


    data_container.gs.to_netcdf('test_datacontainer.nc')








.. GENERATED FROM PYTHON SOURCE LINES 121-122

Reading back in

.. GENERATED FROM PYTHON SOURCE LINES 122-126

.. code-block:: Python

    new_survey = gspy.open_datatree(d_out)['survey']

    print(new_survey)





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    <xarray.DataTree 'survey'>
    Group: /survey
    │   Dimensions:                 ()
    │   Coordinates:
    │       spatial_ref             float64 8B ...
    │   Data variables:
    │       survey_information      float64 8B ...
    │       flightline_information  float64 8B ...
    │       survey_equipment        float64 8B ...
    │   Attributes:
    │       title:        SkyTEM Airborne Electromagnetic (AEM) Survey, Northeast Wis...
    │       institution:  USGS Geology, Geophysics, and Geochemistry Science Center
    │       source:       SkyTEM raw data, USGS processed data and inverted resistivi...
    │       history:      (1) Data acquisition 01/2021 - 02/2021 by SkyTEM Canada Inc...
    │       references:   Minsley, Burke J., B.R. Bloss, D.J. Hart, W. Fitzpatrick, M...
    │       comment:      This dataset includes minimally processed (raw) AEM and raw...
    │       summary:      Airborne electromagnetic (AEM) and magnetic survey data wer...
    │       content:      survey information (group /survey), raw data (group /survey...
    │       created_by:   gspy==2.0.0
    │       conventions:  CF-1.8, GS-2.0
    │       type:         survey
    ├── Group: /survey/data
    │   │   Dimensions:      ()
    │   │   Data variables:
    │   │       spatial_ref  float64 8B ...
    │   │   Attributes:
    │   │       content:  raw and processed data
    │   │       comment:  This is a test
    │   │       type:     container
    │   ├── Group: /survey/data/raw_data
    │   │   │   Dimensions:          (index: 6785, hm_gate_times: 32, lm_gate_times: 28)
    │   │   │   Coordinates:
    │   │   │       spatial_ref      float64 8B ...
    │   │   │     * index            (index) int32 27kB 0 1 2 3 4 5 ... 6780 6781 6782 6783 6784
    │   │   │       x                (index) float64 54kB ...
    │   │   │       y                (index) float64 54kB ...
    │   │   │       z                (index) float64 54kB ...
    │   │   │       t                (index) float64 54kB ...
    │   │   │     * hm_gate_times    (hm_gate_times) float64 256B 2.886e-05 ... 0.003544
    │   │   │     * lm_gate_times    (lm_gate_times) float64 224B -1.135e-06 ... 0.001394
    │   │   │   Data variables: (12/34)
    │   │   │       _60hz_intensity  (index) float64 54kB ...
    │   │   │       alt              (index) float64 54kB ...
    │   │   │       anglex           (index) float64 54kB ...
    │   │   │       angley           (index) float64 54kB ...
    │   │   │       base_mag         (index) float64 54kB ...
    │   │   │       curr_hm          (index) float64 54kB ...
    │   │   │       ...               ...
    │   │   │       mag_raw          (index) float64 54kB ...
    │   │   │       n_nad83          (index) float64 54kB ...
    │   │   │       n_wgs84          (index) float64 54kB ...
    │   │   │       rmf              (index) float64 54kB ...
    │   │   │       time             (index) <U8 217kB ...
    │   │   │       tmi              (index) float64 54kB ...
    │   │   │   Attributes:
    │   │   │       content:     raw data
    │   │   │       comment:     This dataset includes minimally processed (raw) AEM and raw/...
    │   │   │       type:        data
    │   │   │       structure:   tabular
    │   │   │       mode:        airborne
    │   │   │       method:      electromagnetic
    │   │   │       submethod:   time domain
    │   │   │       instrument:  skytem
    │   │   │       property:    
    │   │   └── Group: /survey/data/raw_data/nominal_system
    │   │           Dimensions:                              (gate_times: 22, nv: 2,
    │   │                                                     lm_gate_times: 28, hm_gate_times: 32,
    │   │                                                     n_transmitters: 2,
    │   │                                                     lm_waveform_time: 21,
    │   │                                                     hm_waveform_time: 36,
    │   │                                                     lm_loop_vertices: 8, xyz: 3,
    │   │                                                     hm_loop_vertices: 8, n_receivers: 2,
    │   │                                                     n_components: 4)
    │   │           Coordinates:
    │   │             * gate_times                           (gate_times) float64 176B 5.636e-05 ...
    │   │             * nv                                   (nv) int64 16B 0 1
    │   │             * n_transmitters                       (n_transmitters) int64 16B 0 1
    │   │             * lm_waveform_time                     (lm_waveform_time) float64 168B -0.0...
    │   │             * hm_waveform_time                     (hm_waveform_time) float64 288B -0.0...
    │   │             * xyz                                  (xyz) int64 24B 0 1 2
    │   │             * lm_loop_vertices                     (lm_loop_vertices) float64 64B 0.0 ....
    │   │             * hm_loop_vertices                     (hm_loop_vertices) float64 64B 0.0 ....
    │   │             * n_receivers                          (n_receivers) int64 16B 0 1
    │   │             * n_components                         (n_components) int64 32B 0 1 2 3
    │   │           Data variables: (12/29)
    │   │               gate_times_bnds                      (gate_times, nv) float64 352B ...
    │   │               lm_gate_times_bnds                   (lm_gate_times, nv) float64 448B ...
    │   │               hm_gate_times_bnds                   (hm_gate_times, nv) float64 512B ...
    │   │               transmitter_label                    (n_transmitters) <U2 16B ...
    │   │               transmitter_area                     (n_transmitters) float64 16B ...
    │   │               transmitter_base_frequency           (n_transmitters) float64 16B ...
    │   │               ...                                   ...
    │   │               component_receivers                  (n_components) <U1 16B ...
    │   │               component_sample_rate                (n_components) float64 32B ...
    │   │               component_txrx_dx                    (n_components) float64 32B ...
    │   │               component_txrx_dy                    (n_components) float64 32B ...
    │   │               component_txrx_dz                    (n_components) float64 32B ...
    │   │               component_gate_times                 (n_components) <U13 208B ...
    │   │           Attributes:
    │   │               type:        system
    │   │               mode:        airborne
    │   │               method:      electromagnetic
    │   │               submethod:   time domain
    │   │               instrument:  skytem 304M
    │   ├── Group: /survey/data/processed_data
    │   │   │   Dimensions:          (index: 4671, lm_gate_times: 27, hm_gate_times: 22)
    │   │   │   Coordinates:
    │   │   │       spatial_ref      float64 8B ...
    │   │   │     * index            (index) int32 19kB 0 1 2 3 4 5 ... 4666 4667 4668 4669 4670
    │   │   │       x                (index) float64 37kB ...
    │   │   │       y                (index) float64 37kB ...
    │   │   │       z                (index) float64 37kB ...
    │   │   │       t                (index) float64 37kB ...
    │   │   │     * lm_gate_times    (lm_gate_times) float64 216B 3.65e-07 ... 0.001394
    │   │   │     * hm_gate_times    (hm_gate_times) float64 176B 5.636e-05 ... 0.003544
    │   │   │   Data variables: (12/21)
    │   │   │       pindex           (index) int64 37kB ...
    │   │   │       sline_no         (index) float64 37kB ...
    │   │   │       e_n83wtm         (index) float64 37kB ...
    │   │   │       n_n83wtm         (index) float64 37kB ...
    │   │   │       timestamp        (index) float64 37kB ...
    │   │   │       record           (index) float64 37kB ...
    │   │   │       ...               ...
    │   │   │       rx_altitude      (index) float64 37kB ...
    │   │   │       rx_altitude_std  (index) float64 37kB ...
    │   │   │       txrx_dx          (index) float64 37kB ...
    │   │   │       txrx_dy          (index) float64 37kB ...
    │   │   │       txrx_dz          (index) float64 37kB ...
    │   │   │       line_no          (index) float64 37kB ...
    │   │   │   Attributes:
    │   │   │       content:     processed data
    │   │   │       comment:     This dataset includes processed AEM data produced by USGS
    │   │   │       type:        data
    │   │   │       structure:   tabular
    │   │   │       mode:        airborne
    │   │   │       method:      electromagnetic
    │   │   │       submethod:   time domain
    │   │   │       instrument:  skytem
    │   │   │       property:    
    │   │   ├── Group: /survey/data/processed_data/skytem_system
    │   │   │       Dimensions:                              (gate_times: 22, nv: 2,
    │   │   │                                                 lm_gate_times: 27, hm_gate_times: 22,
    │   │   │                                                 n_transmitters: 2,
    │   │   │                                                 lm_waveform_time: 21,
    │   │   │                                                 hm_waveform_time: 36,
    │   │   │                                                 lm_loop_vertices: 8, xyz: 3,
    │   │   │                                                 hm_loop_vertices: 8, n_receivers: 2,
    │   │   │                                                 n_components: 4)
    │   │   │       Coordinates:
    │   │   │         * gate_times                           (gate_times) float64 176B 5.636e-05 ...
    │   │   │         * nv                                   (nv) int64 16B 0 1
    │   │   │         * n_transmitters                       (n_transmitters) int64 16B 0 1
    │   │   │         * lm_waveform_time                     (lm_waveform_time) float64 168B -0.0...
    │   │   │         * hm_waveform_time                     (hm_waveform_time) float64 288B -0.0...
    │   │   │         * xyz                                  (xyz) int64 24B 0 1 2
    │   │   │         * lm_loop_vertices                     (lm_loop_vertices) float64 64B 0.0 ....
    │   │   │         * hm_loop_vertices                     (hm_loop_vertices) float64 64B 0.0 ....
    │   │   │         * n_receivers                          (n_receivers) int64 16B 0 1
    │   │   │         * n_components                         (n_components) int64 32B 0 1 2 3
    │   │   │       Data variables: (12/29)
    │   │   │           gate_times_bnds                      (gate_times, nv) float64 352B ...
    │   │   │           lm_gate_times_bnds                   (lm_gate_times, nv) float64 432B ...
    │   │   │           hm_gate_times_bnds                   (hm_gate_times, nv) float64 352B ...
    │   │   │           transmitter_label                    (n_transmitters) <U2 16B ...
    │   │   │           transmitter_area                     (n_transmitters) float64 16B ...
    │   │   │           transmitter_base_frequency           (n_transmitters) float64 16B ...
    │   │   │           ...                                   ...
    │   │   │           component_receivers                  (n_components) <U1 16B ...
    │   │   │           component_sample_rate                (n_components) float64 32B ...
    │   │   │           component_txrx_dx                    (n_components) float64 32B ...
    │   │   │           component_txrx_dy                    (n_components) float64 32B ...
    │   │   │           component_txrx_dz                    (n_components) float64 32B ...
    │   │   │           component_gate_times                 (n_components) <U13 208B ...
    │   │   │       Attributes:
    │   │   │           type:        system
    │   │   │           mode:        airborne
    │   │   │           method:      electromagnetic
    │   │   │           submethod:   time domain
    │   │   │           instrument:  skytem 304M
    │   │   └── Group: /survey/data/processed_data/magnetic_system
    │   │           Dimensions:        ()
    │   │           Data variables:
    │   │               sample_rate    float64 8B ...
    │   │               resolution     float64 8B ...
    │   │           Attributes:
    │   │               type:        system
    │   │               mode:        airborne
    │   │               method:      magnetic
    │   │               submethod:   total field
    │   │               instrument:  cesium vapour
    │   └── Group: /survey/data/depth_to_bedrock
    │           Dimensions:       (index: 82864)
    │           Coordinates:
    │               spatial_ref   float64 8B ...
    │             * index         (index) int32 331kB 0 1 2 3 4 ... 82860 82861 82862 82863
    │               x             (index) float64 663kB ...
    │               y             (index) float64 663kB ...
    │           Data variables:
    │               id            (index) int64 663kB ...
    │               e_n83wtm      (index) float64 663kB ...
    │               n_n83wtm      (index) float64 663kB ...
    │               br_elevation  (index) float64 663kB ...
    │               zstd          (index) float64 663kB ...
    │               origintype    (index) int64 663kB ...
    │               editdate      (index) <U15 5MB ...
    │           Attributes:
    │               content:     bedrock elevation points
    │               comment:     This dataset includes AEM-derived point estimates of the ele...
    │               type:        data
    │               structure:   tabular
    │               mode:        
    │               method:      
    │               submethod:   
    │               instrument:  
    │               property:    
    ├── Group: /survey/models
    │   │   Dimensions:      ()
    │   │   Data variables:
    │   │       spatial_ref  float64 8B ...
    │   │   Attributes:
    │   │       content:  Inverted models
    │   │       comment:  This is a test
    │   │       type:     container
    │   └── Group: /survey/models/inverted_models
    │           Dimensions:           (layer_depth: 40, nv: 2, index: 11677)
    │           Coordinates:
    │               spatial_ref       float64 8B ...
    │             * index             (index) int32 47kB 0 1 2 3 4 ... 11673 11674 11675 11676
    │             * layer_depth       (layer_depth) float64 320B 0.375 1.16 2.02 ... 262.6 343.8
    │             * nv                (nv) int64 16B 0 1
    │               x                 (index) float64 93kB ...
    │               y                 (index) float64 93kB ...
    │               z                 (index) float64 93kB ...
    │               t                 (index) float64 93kB ...
    │           Data variables: (12/22)
    │               layer_depth_bnds  (layer_depth, nv) float64 640B ...
    │               pindex            (index) int64 93kB ...
    │               sline_no          (index) int64 93kB ...
    │               e_n83wtm          (index) float64 93kB ...
    │               n_n83wtm          (index) float64 93kB ...
    │               timestamp         (index) float64 93kB ...
    │               ...                ...
    │               RHO_I_STD         (index, layer_depth) float64 4MB ...
    │               DEP_TOP           (index, layer_depth) float64 4MB ...
    │               DEP_BOT           (index, layer_depth) float64 4MB ...
    │               doi_conservative  (index) float64 93kB ...
    │               doi_standard      (index) float64 93kB ...
    │               line_no           (index) int64 93kB ...
    │           Attributes:
    │               content:     inverted resistivity models
    │               comment:     This dataset includes inverted resistivity models derived fr...
    │               type:        model
    │               structure:   tabular
    │               mode:        airborne
    │               method:      electromagnetic
    │               submethod:   time domain
    │               instrument:  skytem
    │               property:    electrical resistivity
    └── Group: /survey/derived_products
        │   Dimensions:      ()
        │   Data variables:
        │       spatial_ref  float64 8B ...
        │   Attributes:
        │       content:  products derived from other data and models
        │       type:     container
        └── Group: /survey/derived_products/maps
                Dimensions:                (x: 799, nv: 2, y: 1155)
                Coordinates:
                    spatial_ref            float64 8B ...
                  * x                      (x) float64 6kB 6.551e+05 6.552e+05 ... 7.349e+05
                  * nv                     (nv) int64 16B 0 1
                  * y                      (y) float64 9kB 4.953e+05 4.952e+05 ... 3.799e+05
                Data variables:
                    x_bnds                 (x, nv) float64 13kB ...
                    y_bnds                 (y, nv) float64 18kB ...
                    magnetic_tmi           (y, x) float64 7MB ...
                    magnetic_rmf           (y, x) float64 7MB ...
                    bedrock_top_elevation  (y, x) float32 4MB ...
                    bedrock_depth          (y, x) float32 4MB ...
                Attributes:
                    content:     gridded magnetic and bedrock maps
                    comment:     This dataset includes AEM-derived estimates of the elevation...
                    type:        data
                    structure:   raster
                    mode:        airborne
                    method:      electromagnetic
                    submethod:   time domain
                    instrument:  skytem
                    property:    ['magnetic', 'depth to bedrock']




.. GENERATED FROM PYTHON SOURCE LINES 127-128

Plotting

.. GENERATED FROM PYTHON SOURCE LINES 128-143

.. code-block:: Python

    plt.figure()
    new_survey['data']['raw_data']['height'].plot()
    plt.tight_layout()

    pd = new_survey['data']['processed_data']
    plt.figure()
    pd['elevation'].plot()
    plt.tight_layout()

    m = new_survey['derived_products']['maps']
    plt.figure()
    m['magnetic_tmi'].plot(cmap='jet')
    plt.tight_layout()

    plt.show()



.. rst-class:: sphx-glr-horizontal


    *

      .. image-sg:: /examples/Creating_GS_Files/images/sphx_glr_plot_csv_skytem_to_netcdf_001.png
         :alt: spatial_ref = 0.0
         :srcset: /examples/Creating_GS_Files/images/sphx_glr_plot_csv_skytem_to_netcdf_001.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /examples/Creating_GS_Files/images/sphx_glr_plot_csv_skytem_to_netcdf_002.png
         :alt: spatial_ref = 0.0
         :srcset: /examples/Creating_GS_Files/images/sphx_glr_plot_csv_skytem_to_netcdf_002.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /examples/Creating_GS_Files/images/sphx_glr_plot_csv_skytem_to_netcdf_003.png
         :alt: spatial_ref = 0.0
         :srcset: /examples/Creating_GS_Files/images/sphx_glr_plot_csv_skytem_to_netcdf_003.png
         :class: sphx-glr-multi-img






.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 8.767 seconds)


.. _sphx_glr_download_examples_Creating_GS_Files_plot_csv_skytem_to_netcdf.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_csv_skytem_to_netcdf.ipynb <plot_csv_skytem_to_netcdf.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_csv_skytem_to_netcdf.py <plot_csv_skytem_to_netcdf.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: plot_csv_skytem_to_netcdf.zip <plot_csv_skytem_to_netcdf.zip>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
