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"description": "\n\n.. image:: https://badges.gitter.im/mne-tools/mne-bids.svg\n :target: https://gitter.im/mne-tools/mne-bids?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge\n :alt: Gitter\n\n.. image:: https://travis-ci.org/mne-tools/mne-bids.svg?branch=master\n :target: https://travis-ci.org/mne-tools/mne-bids\n :alt: Travis\n\n.. image:: https://ci.appveyor.com/api/projects/status/d4u70pht341cwqxb/branch/master?svg=true\n :target: https://ci.appveyor.com/project/mne-tools/mne-bids/branch/master\n :alt: Appveyor\n\n\n.. image:: https://codecov.io/gh/mne-tools/mne-bids/branch/master/graph/badge.svg\n :target: https://codecov.io/gh/mne-tools/mne-bids\n :alt: codecov\n\n\n.. image:: https://circleci.com/gh/mne-tools/mne-bids.svg?style=svg\n :target: https://circleci.com/gh/mne-tools/mne-bids\n :alt: CircleCi\n\n\n.. image:: https://pepy.tech/badge/mne-bids\n :target: https://pepy.tech/project/mne-bids\n :alt: Downloads\n\n\nMNE-BIDS\n========\n\nThis is a repository for creating\n`BIDS `_\\ -compatible datasets with\n`MNE `_.\n\nThe documentation can be found under the following links:\n\n- for the `stable release `_\n- for the `latest (development) version `_\n\nInstallation\n------------\n\nWe recommend the `Anaconda `_ Python\ndistribution. We require that you use Python 3.\nBesides ``numpy`` and ``scipy`` (which are included in the standard Anaconda\ninstallation), you will need to install the most recent version of ``MNE``\nusing the ``pip`` tool:\n\n.. code-block:: bash\n\n $ pip install -U mne\n\n\nThen install ``mne-bids``\\ :\n\n.. code-block:: bash\n\n $ pip install -U mne-bids\n\n\nThese ``pip`` commands also work if you want to upgrade if a newer version of\n``mne-bids`` is available. If you do not have administrator privileges on the\ncomputer, use the ``--user`` flag with ``pip``.\n\nTo check if everything worked fine, the following command should not give any\nerror messages:\n\n.. code-block:: bash\n\n $ python -c 'import mne_bids'\n\nFor full functionality of ``mne-bids``, you will also need to ``pip install``\nthe following packages:\n\n- ``nibabel``, for interacting with MRI data\n\nIf you want to use the latest development version of ``mne-bids``, use the\nfollowing command:\n\n.. code-block:: bash\n\n $ pip install https://api.github.com/repos/mne-tools/mne-bids/zipball/master\n\nQuickstart\n----------\n\nCurrently, we support writing of BIDS datasets for MEG and EEG. Support for\niEEG is experimental at the moment.\n\n.. code:: python\n\n >>> from mne import io\n >>> from mne_bids import write_raw_bids\n >>> raw = io.read_raw_fif('my_old_file.fif')\n >>> write_raw_bids(raw, 'sub-01_ses-01_run-05', output_path='./bids_dataset')\n\nCommand Line Interface\n----------------------\n\nIn addition to ``import mne_bids``, you can use the command line interface.\nSimply type ``mne_bids`` in your command line and press enter, to see the\naccepted commands. Then type ``mne_bids --help``, where ````\nis one of the accepted commands, to get more information about that\n````.\n\nExample:\n\n.. code-block:: bash\n\n $ mne_bids raw_to_bids --subject_id sub01 --task rest --raw data.edf --output_path new_path\n\nBug reports\n-----------\n\nUse the `github issue tracker `_\nto report bugs.\n\nCite\n----\n\nIf you use ``mne-bids`` in your work, please cite one of the following papers,\ndepending on which modality you used:\n\n`MEG `_\n##############################################\n\n.. code-block:: Text\n\n Niso, G., Gorgolewski, K. J., Bock, E., Brooks, T. L., Flandin, G., Gramfort, A.,\n Henson, R. N., Jas, M., Litvak, V., Moreau, J., Oostenveld, R., Schoffelen, J.,\n Tadel, F., Wexler, J., Baillet, S. (2018). MEG-BIDS, the brain imaging data\n structure extended to magnetoencephalography. Scientific Data, 5, 180110.\n http://doi.org/10.1038/sdata.2018.110\n\n\n`EEG `_\n##################################################\n\n.. code-block:: Text\n\n Pernet, C. R., Appelhoff, S., Gorgolewski, K. J., Flandin, G.,\n Phillips, C., Delorme, A., Oostenveld, R. (2019). EEG-BIDS, an extension\n to the brain imaging data structure for electroencephalography. Scientific\n Data, 6, 103. https://doi.org/10.1038/s41597-019-0104-8\n\n\n`iEEG `_\n###################################################\n\n.. code-block:: Text\n\n Holdgraf, C., Appelhoff, S., Bickel, S., Bouchard, K., D'Ambrosio, S.,\n David, O., \u2026 Hermes, D. (2019). iEEG-BIDS, extending the Brain Imaging Data\n Structure specification to human intracranial electrophysiology. Scientific\n Data, 6, 102. https://doi.org/10.1038/s41597-019-0105-7\n\n\n",
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