{"url":"/dataset/cwl-eeg-fmri-data-set","name":"CWL EEG/fMRI Dataset","full_name":null,"description_markdown":"EEG/fMRI Data from 8 subject doing a simple eyes open/eyes closed task is provided on this webpage.\r\n\r\nThe EEG/fMRI data are six files for each subject, with two basic factors: recording during Helium pump On and Helium pump Off, and recording during MRI scanning and without MRI scanning. In addition 'outside' EEG data is provided, before as well as after the MRI session.\r\n\r\nThere are 30 EEG channels, 1 EOG channel, 1 ECG channel, as well as 6 CWL signals.","description_withheld":null,"homepage":"https://www.nitrc.org/projects/cwleegfmri_data/","introduced_date":"2016-01-15","introduced_date_note":null,"introduced_by":{"paper":"/paper/eyes-open-eyes-closed-eeg-fmri-data-set","title":"“Eyes Open – Eyes Closed” EEG/fMRI data set including dedicated “Carbon Wire Loop” motion detection channels","first_author":"Johanvan der Meera","url":null},"license":{"name":"MIT","url":null},"modalities":[{"name":"fMRI","url":"/datasets/modality/fmri"},{"name":"EEG","url":"/datasets/modality/eeg"}],"tasks":[{"name":"Electroencephalogram (EEG)","url":"/task/eeg","datasets_with_task":"/datasets/task/eeg"},{"name":"Eeg Decoding","url":"/task/eeg-decoding","datasets_with_task":"/datasets/task/eeg-decoding"},{"name":"EEG Artifact Removal","url":"/task/eeg-artifact-removal","datasets_with_task":"/datasets/task/eeg-artifact-removal"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["CWL EEG/fMRI Dataset"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/eeg-decoding-on-cwl-eeg-fmri-dataset","task":"Eeg Decoding","dataset_variant":"CWL EEG/fMRI Dataset","rows":1,"metrics":["Pearson Correlation"],"first_row_in_archive_order":{"model":"BEIRA","paper":"/paper/fmri-from-eeg-is-only-deep-learning-away-the","metrics":{"Pearson Correlation":"0.44"},"code_links":[{"title":"kovalalvi/beira","url":"https://github.com/kovalalvi/beira"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/fmri-from-eeg-is-only-deep-learning-away-the","title":"fMRI from EEG is only Deep Learning away: the use of interpretable DL to unravel EEG-fMRI relationships","date":"2022-10-23","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}