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_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
bool
Force update of the dataset even if a local copy exists.
- update_path
bool
|None
If True, set the MNE_DATASETS_HF_SEF_PATH in mne-python config to the given path. If None, the user is prompted.
- verbose
bool
|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