.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "_auto_examples/vim2/00_download_vim2.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download__auto_examples_vim2_00_download_vim2.py>`
        to download the full example code

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

.. _sphx_glr__auto_examples_vim2_00_download_vim2.py:


================================
Download the data set from CRCNS
================================

In this script, we download the data set from CRCNS.
A (free) account is required.

Cite this data set
------------------

This tutorial is based on publicly available data
`published on CRCNS <https://crcns.org/data-sets/vc/vim-2/about-vim-2>`_.
If you publish any work using this data set, please cite the original
publication [1]_, and the data set [2]_.

.. GENERATED FROM PYTHON SOURCE LINES 17-17

.. code-block:: Python
   :dedent: 1


.. GENERATED FROM PYTHON SOURCE LINES 19-21

Download
--------

.. GENERATED FROM PYTHON SOURCE LINES 21-27

.. code-block:: Python


    # path of the data directory
    from voxelwise_tutorials.io import get_data_home
    directory = get_data_home(dataset="vim-2")
    print(directory)


.. GENERATED FROM PYTHON SOURCE LINES 28-31

We will only use the first subject in this tutorial, but you can run the same
analysis on the two other subjects. Uncomment the lines in ``DATAFILES`` to
download more subjects, or to download the anatomy files.

.. GENERATED FROM PYTHON SOURCE LINES 31-47

.. code-block:: Python


    import getpass

    from voxelwise_tutorials.io import download_crcns

    DATAFILES = [
        'vim-2/Stimuli.tar.gz',
        'vim-2/VoxelResponses_subject1.tar.gz',
        # 'vim-2/VoxelResponses_subject2.tar.gz',
        # 'vim-2/VoxelResponses_subject3.tar.gz',
        # 'vim-2/anatomy.zip',
        # 'vim-2/checksums.md5',
        # 'vim-2/filelist.txt',
        # 'vim-2/docs/crcns-vim-2-data-description.pdf',
    ]


.. GENERATED FROM PYTHON SOURCE LINES 48-54

.. code-block:: Python

    username = input("CRCNS username: ")
    password = getpass.getpass("CRCNS password: ")

    for datafile in DATAFILES:
        local_filename = download_crcns(datafile, username, password,
                                        destination=directory, unpack=True)

.. GENERATED FROM PYTHON SOURCE LINES 55-65

References
----------

.. [1] Nishimoto, S., Vu, A. T., Naselaris, T., Benjamini, Y., Yu, B., &
    Gallant, J. L. (2011). Reconstructing visual experiences from brain
    activity evoked by natural movies. Current Biology, 21(19), 1641-1646.

.. [2] Nishimoto, S., Vu, A. T., Naselaris, T., Benjamini, Y., Yu, B., &
    Gallant, J. L. (2014): Gallant Lab Natural Movie 4T fMRI Data. CRCNS.org.
    http://dx.doi.org/10.6080/K00Z715X


.. _sphx_glr_download__auto_examples_vim2_00_download_vim2.py:

.. only:: html

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

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

      :download:`Download Jupyter notebook: 00_download_vim2.ipynb <00_download_vim2.ipynb>`

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

      :download:`Download Python source code: 00_download_vim2.py <00_download_vim2.py>`


.. only:: html

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

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