mne_nirs.datasets.block_speech_noise.data_path#
- mne_nirs.datasets.block_speech_noise.data_path(path=None, force_update=False, update_path=True, download=True, verbose=None)[source]#
Audio speech and noise dataset with 18 participants.
Get path to local copy of data from the article [1].
- Parameters:
- pathNone | str
Location of where to look for the dataset. If None, the environment variable or config parameter is used. If it doesn’t exist, the “~/mne_data” directory is used. If the 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_FNIRSSPEECHNOISE_PATH in mne-python config to the given path. If None, the user is prompted.
- downloadbool
If False and the 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 andmne.verbose()for details. Should only be passed as a keyword argument.
- Returns:
- pathstr
Path to dataset directory.
References
