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].

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 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 | None

Control verbosity of the logging output. If None, use the default verbosity level. See the logging documentation and mne.verbose() for details. Should only be passed as a keyword argument.


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


Examples using mne.datasets.hf_sef.data_path#

HF-SEF dataset

HF-SEF dataset

HF-SEF dataset