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‎config/index.html‎

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<p>Desired format of the saved datacube. </p>
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<p><strong>Default:</strong> <code>zarr</code><br />
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<strong>Allowed values:</strong> <code>netcdf</code>, <code>zarr</code>, <a href="https://xcube.readthedocs.io/en/latest/mldatasets.html#the-xcube-levels-format"><code>levels</code></a></p>
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<h3 id="custom_processing">custom_processing</h3>
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<p>This section enables users to define a Python function that is executed after opening
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the data. It allows for custom dataset manipulation, making it particularly useful
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for handling unstructured datasets. The function must accept an <code>xarray.Dataset</code> as
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input and return a modified <code>xarray.Dataset</code> as output.</p>
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<h3 id="spatial_resample_params">spatial_resample_params</h3>
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<p>This section enables user to define the parameters for spatial resampling of
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<a href="https://xcube-dev.github.io/xcube-resampling/api/#xcube_resampling.resample_in_time"><code>xcube_resampling.resample_in_time</code> Python API documentation</a>.</p>
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<p><em>NOTE</em>: The argument <code>frequency</code> is required; the remaining keyword arguments are
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optional.</p>
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<h3 id="custom_processing">custom_processing</h3>
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<p>This section enables users to define a Python function that is executed after opening
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for handling unstructured datasets. The function must accept an <code>xarray.Dataset</code> as
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input and return a modified <code>xarray.Dataset</code> as output.</p>
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<p><strong>Properties</strong>: </p>
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<ul>
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<li><strong>module_path</strong>: Path to the Python module relative to the config file. </li>

‎examples/example2/scs2_modify_dataset/index.html‎

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‎examples/example4/scs4_modify_dataset/index.html‎

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‎search/search_index.json‎

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