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, 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.


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



Nurminen, J., Paananen, H., Mäkelä, J. (2017): High frequency somatosensory MEG dataset.

Examples using mne.datasets.hf_sef.data_path