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.
- path
None|str Where to look for the HF-SEF data storing location. If None, the environment variable or config parameter
MNE_DATASETS_HF_SEF_PATHis 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|None Control verbosity of the logging output. If
None, use the default verbosity level. See the logging documentation andmne.verbose()for details. Should only be passed as a keyword argument.
- Returns
- path
str Local path to the directory where the HF-SEF data is stored.
- path
References
- 1
Jussi Nurminen, Hilla Paananen, and Jyrki Mäkelä. High frequency somatosensory MEG: evoked responses, freesurfer reconstruction. 2017. doi:10.5281/zenodo.889234.
