netneurotools.datasets.fetch_famous_gmat

netneurotools.datasets.fetch_famous_gmat(dataset, force=False, data_dir=None, verbose=1)[source]

Download files from multi-species connectomes.

This dataset contains

If you used this data, please cite celegans [1], drosophila [2], human [3], macaque_markov [4], macaque_modha [5], mouse [6], rat [7].

Parameters:

dataset (str) – Specifies which dataset to download.

Returns:

data – Dictionary-like object with, at a minimum, keys [‘conn’, ‘labels’, ‘ref’] providing connectivity / correlation matrix, region labels, and relevant reference. Other possible keys include ‘dist’ (an array of Euclidean distances between regions of ‘conn’), ‘coords’ (an array of xyz coordinates for regions of ‘conn’), ‘acronyms’ (an array of acronyms for regions of ‘conn’), and ‘networks’ (an array of network affiliations for regions of ‘conn’).

Return type:

sklearn.utils.Bunch

Other Parameters:
  • force (bool, optional) – If True, will overwrite existing dataset. Default: False

  • 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

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

References