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doc/user-guide/combining.md

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%xmode minimal
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```
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- For combining datasets or data arrays along a single dimension, see [concatenate].
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- For combining datasets with different variables, see [merge].
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- For combining datasets or data arrays with different indexes or missing values, see [combine].
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- For combining datasets or data arrays along multiple dimensions see [combining.multi].
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- For combining datasets or data arrays along a single dimension, see [concatenate](#concatenate).
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- For combining datasets with different variables, see [merge](#merge).
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- For combining datasets or data arrays with different indexes or missing values, see [combine](#combine).
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- For combining datasets or data arrays along multiple dimensions see [combining.multi](#combining-multi).
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(concatenate)=
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point numbers (`NaN`), variable data type is not always preserved when merging
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in this manner.
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(combining.multi)=
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(combining-multi)=
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## Combining along multiple dimensions
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doc/user-guide/io.md

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This function automatically concatenates and merges multiple files into a
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single xarray dataset.
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It is the recommended way to open multiple files with xarray.
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For more details on parallel reading, see {ref}`combining.multi`, {ref}`dask.io` and a
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For more details on parallel reading, see {ref}`combining-multi`, {ref}`dask.io` and a
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[blog post] by Stephan Hoyer.
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{py:func}`open_mfdataset` takes many kwargs that allow you to
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control its behaviour (for e.g. `parallel`, `combine`, `compat`, `join`, `concat_dim`).
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```{note}
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These references follow this [specification](https://fsspec.github.io/kerchunk/spec.html).
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Packages like [kerchunk] and [virtualizarr](https://github.com/zarr-developers/VirtualiZarr)
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Packages like [kerchunk](#kerchunk) and [virtualizarr](https://github.com/zarr-developers/VirtualiZarr)
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help in creating and reading these references.
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```
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