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

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.


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



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