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DOC: Fix link formatting
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doc/source/devel/roadmap.rst

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@@ -40,8 +40,8 @@ store it, so it is easy to lose metadata and make analysis errors; see
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:ref:`biap6`.
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We plan to expand Nibabel's API to encode axis and tick labels by integrating
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the Xarray package: `http://xarray.pydata.org`_. Xarray simplifies HDF5
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serialization, and visualization; see `https://napari.org`_.
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the `Xarray package <http://xarray.pydata.org>`_. Xarray simplifies HDF5
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serialization, and visualization; see https://napari.org.
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An API for labels is not useful if we cannot read labels from the scanner
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data, or save them with the image. We plan to:
@@ -67,10 +67,12 @@ API for surface data
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Neuroimaging data often refers to locations on the brain surface. There are
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three common formats for such data: GIFTI, CIFTI and Freesurfer. Nibabel can
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read these formats, but lacks a standard API for reading and storing surface
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data with metadata; see `https://github.com/nipy/nibabel/issues/936`_,
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`https://github.com/nilearn/nilearn/issues/2171`_. We plan to develop
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a standard API, apply it to the standard formats, and design an efficient
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general HDF5 storage container for serializing surface data and metadata.
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data with metadata; see
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`nipy/nibabel#936 <https://github.com/nipy/nibabel/issues/936>`_,
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`nilearn/nilearn#2171 <https://github.com/nilearn/nilearn/issues/2171>`_.
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We plan to develop a standard API, apply it to the standard formats,
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and design an efficient general HDF5 storage container for serializing surface
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data and metadata.
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