Get path to local copy of the kiloword dataset.
This is the dataset from [1].
None
| str
Location of where to look for the kiloword data storing location. If None, the environment variable or config parameter MNE_DATASETS_KILOWORD_PATH is used. If it doesn’t exist, the “mne-python/examples” directory is used. If the kiloword dataset is not found under the given path (e.g., as “mne-python/examples/MNE-kiloword-data”), the data will be automatically downloaded to the specified folder.
Force update of the dataset even if a local copy exists.
None
If True, set the MNE_DATASETS_KILOWORD_PATH in mne-python config to the given path. If None, the user is prompted.
If False and the kiloword 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.
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.
list
of pathlib.Path
Local path to the given data file. This path is contained inside a list of length one, for compatibility.
References
mne.datasets.kiloword.data_path
#The Raw data structure: continuous data
Visualising statistical significance thresholds on EEG data
Analysing continuous features with binning and regression in sensor space