mne.datasets.hf_sef.data_path

mne.datasets.hf_sef.data_path(dataset='evoked', path=None, force_update=False, update_path=True, verbose=None)[source]

Get path to local copy of the high frequency SEF dataset.

Gets a local copy of the high frequency SEF MEG dataset 1.

Parameters
dataset‘evoked’ | ‘raw’

Whether to get the main dataset (evoked, structural and the rest) or the separate dataset containing raw MEG data only.

pathNone | str

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

force_updatebool

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

update_pathbool | None

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

verbosebool, str, int, or None

If not None, override default verbose level (see mne.verbose() and Logging documentation for more). If used, it should be passed as a keyword-argument only.

Returns
pathstr

Local path to the directory where the HF-SEF data is stored.

References

1

Jussi Nurminen, Hilla Paananen, and Jyrki Mäkelä. High frequency somatosensory MEG: evoked responses, freesurfer reconstruction. 2017. doi:10.5281/zenodo.889234.

Examples using mne.datasets.hf_sef.data_path

mne.datasets.fnirs_motor.data_path mne.datasets.kiloword.data_path