mne.datasets.misc.data_path#

mne.datasets.misc.data_path(path=None, force_update=False, update_path=True, download=True, *, verbose=None)[source]#

Get path to local copy of misc dataset.

Parameters
pathNone | str

Location of where to look for the misc dataset. If None, the environment variable or config parameter MNE_DATASETS_MISC_PATH is used. If it doesn’t exist, the “~/mne_data” directory is used. If the misc dataset is not found under the given path, the data will be automatically downloaded to the specified folder.

force_updatebool

Force update of the misc dataset even if a local copy exists. Default is False.

update_pathbool | None

If True (default), set the MNE_DATASETS_MISC_PATH in mne-python config to the given path. If None, the user is prompted.

downloadbool

If False and the misc dataset has not been downloaded yet, it will not be downloaded and the path will be returned as ‘’ (empty string). This is mostly used for debugging purposes and can be safely ignored by most users.

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.

Returns
pathinstance of pathlib.Path

Path to misc dataset directory.

Examples using mne.datasets.misc.data_path#

EEG source localization given electrode locations on an MRI

EEG source localization given electrode locations on an MRI

EEG source localization given electrode locations on an MRI
Locating intracranial electrode contacts

Locating intracranial electrode contacts

Locating intracranial electrode contacts
Working with sEEG data

Working with sEEG data

Working with sEEG data
Reading XDF EEG data

Reading XDF EEG data

Reading XDF EEG data
Maxwell filter data with movement compensation

Maxwell filter data with movement compensation

Maxwell filter data with movement compensation
How to convert 3D electrode positions to a 2D image

How to convert 3D electrode positions to a 2D image

How to convert 3D electrode positions to a 2D image