Download or update the necessary MNE-Python datasets

mne_get_all_data.py

# from: https://github.com/mne-tools/mne-python/blob/main/tools/circleci_download.sh
import mne
print(mne.datasets.sample.data_path(update_path=True))
print(mne.datasets.fetch_fsaverage(verbose=True))
print(mne.datasets.spm_face.data_path(update_path=True))
print(mne.datasets.somato.data_path(update_path=True))
print(mne.datasets.eegbci.load_data(1, [3, 6, 10, 14], update_path=True))
print(mne.datasets.eegbci.load_data(2, [3], update_path=True))
print(mne.datasets.eegbci.load_data(3, [3], update_path=True))
print(mne.datasets.eegbci.load_data(4, [3], update_path=True))
print(mne.datasets.sleep_physionet.age.fetch_data([0, 1], recording=[1]))
print(mne.datasets.hf_sef.data_path(update_path=True))
print(mne.datasets.brainstorm.bst_auditory.data_path(update_path=True, accept=True))
print(mne.datasets.brainstorm.bst_resting.data_path(update_path=True, accept=True))
print(mne.datasets.brainstorm.bst_raw.data_path(update_path=True, accept=True))
print(mne.datasets.brainstorm.bst_phantom_ctf.data_path(update_path=True, accept=True))
print(mne.datasets.brainstorm.bst_phantom_elekta.data_path(update_path=True, accept=True))
print(mne.datasets.sample.data_path(update_path=True))
print(mne.datasets.fetch_hcp_mmp_parcellation(subjects_dir=mne.datasets.sample.data_path() / 'subjects', accept=True))
print(mne.datasets.misc.data_path(update_path=True))
print(mne.datasets.testing.data_path(update_path=True))
print(mne.datasets.kiloword.data_path(update_path=True))
print(mne.datasets.mtrf.data_path(update_path=True))
print(mne.datasets.fieldtrip_cmc.data_path(update_path=True))
print(mne.datasets.multimodal.data_path(update_path=True))
print(mne.datasets.fnirs_motor.data_path(update_path=True))
print(mne.datasets.opm.data_path(update_path=True))
print(mne.datasets.phantom_4dbti.data_path(update_path=True))
print(mne.datasets.limo.data_path(subject=1, update_path=True))
print(mne.datasets.refmeg_noise.data_path(update_path=True))
print(mne.datasets.ssvep.data_path(update_path=True))
print(mne.datasets.epilepsy_ecog.data_path(update_path=True))
print(mne.datasets.erp_core.data_path(update_path=True))