mne.datasets.opm.data_path#

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

Get path to local copy of opm dataset.

Parameters
pathNone | str

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

force_updatebool

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

update_pathbool | None

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

downloadbool

If False and the opm 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 opm dataset directory.

Examples using mne.datasets.opm.data_path#

Compute source power spectral density (PSD) of VectorView and OPM data

Compute source power spectral density (PSD) of VectorView and OPM data

Compute source power spectral density (PSD) of VectorView and OPM data
Optically pumped magnetometer (OPM) data

Optically pumped magnetometer (OPM) data

Optically pumped magnetometer (OPM) data