netneurotools.datasets.fetch_vazquez_rodriguez2019

netneurotools.datasets.fetch_vazquez_rodriguez2019(force=False, data_dir=None, verbose=1)

Download files from Vazquez-Rodriguez et al., 2019, PNAS.

This dataset contains one file: rsquared_gradient.csv, which contains two columns: rsquared and gradient.

If you used this data, please cite [1].

Returns:

data – Dictionary-like object with fetched data.

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

[1]

Bertha Vázquez-Rodríguez, Laura E Suárez, Ross D Markello, Golia Shafiei, Casey Paquola, Patric Hagmann, Martijn P Van Den Heuvel, Boris C Bernhardt, R Nathan Spreng, and Bratislav Misic. Gradients of structure–function tethering across neocortex. Proceedings of the National Academy of Sciences, 116(42):21219–21227, 2019.

Examples using netneurotools.datasets.fetch_vazquez_rodriguez2019

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