netneurotools.datasets.fetch_civet

netneurotools.datasets.fetch_civet(density='41k', version='v1', data_dir=None, url=None, resume=True, verbose=1)[source]

Fetch CIVET surface files.

Parameters:

  • density ({'41k', '164k'}, optional) – Which density of the CIVET-space geometry files to fetch. The high-resolution ‘164k’ surface only exists for version ‘v2’

  • version ({'v1, 'v2'}, optional) – Which version of the CIVET surfaces to use. Default: ‘v2’

  • data_dir (str, optional) – Path to use as data directory. If not specified, will check for environmental variable ‘NNT_DATA’; if that is not set, will use ~/nnt-data instead. Default: None

  • url (str, optional) – URL from which to download data. Default: None

  • resume (bool, optional) – Whether to attempt to resume partial download, if possible. Default: True

  • verbose (int, optional) – Modifies verbosity of download, where higher numbers mean more updates. Default: 1

Returns:

filenames – Dictionary-like object with keys [‘mid’, ‘white’] containing geometry files for CIVET surface. Note for version ‘v1’ the ‘mid’ and ‘white’ files are identical.

Return type:

sklearn.utils.Bunch

References

Y. Ad-Dab’bagh, O. Lyttelton, J.-S. Muehlboeck, C. Lepage, D. Einarson, K. Mok, O. Ivanov, R. Vincent, J. Lerch, E. Fombonne, A. C. Evans, The CIVET image-processing environment: A fully automated comprehensive pipeline for anatomical neuroimaging research. Proceedings of the 12th Annual Meeting of the Organization for Human Brain Mapping (2006).

Notes

License: https://github.com/aces/CIVET_Full_Project/blob/master/LICENSE