mne.datasets.megsim.load_data

mne.datasets.megsim.load_data(condition=’visual’, data_format=’raw’, data_type=’experimental’, path=None, force_update=False, update_path=None, verbose=None)[source]

Get path to local copy of MEGSIM dataset type.

The MEGSIM dataset is described in [R35].

Parameters:

condition : str

The condition to use. Either ‘visual’, ‘auditory’, or ‘somatosensory’.

data_format : str

The data format. Either ‘raw’, ‘evoked’, or ‘single-trial’.

data_type : str

The type of data. Either ‘experimental’ or ‘simulation’.

path : None | str

Location of where to look for the MEGSIM data storing location. If None, the environment variable or config parameter MNE_DATASETS_MEGSIM_PATH is used. If it doesn’t exist, the “~/mne_data” directory is used. If the MEGSIM dataset is not found under the given path, the data will be automatically downloaded to the specified folder.

force_update : bool

Force update of the dataset even if a local copy exists.

update_path : bool | None

If True, set the MNE_DATASETS_MEGSIM_PATH in mne-python config to the given path. If None, the user is prompted.

verbose : bool, str, int, or None

If not None, override default verbose level (see mne.verbose()).
Returns:

paths : list

List of local data paths of the given type.

Notes

For example, one could do:

>>> from mne.datasets import megsim
>>> megsim.load_data('visual', 'raw', 'experimental', os.getenv('HOME') + '/datasets')

And this would download the raw visual experimental MEGSIM dataset to the ‘datasets’ folder, and prompt the user to save the ‘datasets’ path to the mne-python config, if it isn’t there already.

References

[R35](1, 2) Aine CJ, Sanfratello L, Ranken D, Best E, MacArthur JA, Wallace T, Gilliam K, Donahue CH, Montano R, Bryant JE, Scott A, Stephen JM (2012) MEG-SIM: A Web Portal for Testing MEG Analysis Methods using Realistic Simulated and Empirical Data. Neuroinform 10:141-158