mne.datasets.fnirs_motor.data_path#

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

Get path to local copy of fnirs_motor dataset.

Parameters
pathNone | str

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

force_updatebool

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

update_pathbool | None

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

downloadbool

If False and the fnirs_motor 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 fnirs_motor dataset directory.

Examples using mne.datasets.fnirs_motor.data_path#

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Preprocessing functional near-infrared spectroscopy (fNIRS) data

Preprocessing functional near-infrared spectroscopy (fNIRS) data
Visualise NIRS artifact correction methods

Visualise NIRS artifact correction methods

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