{"schema_version":"0.3.0","doc_type":"dataset","dataset_id":"nm000196","name":"c-VEP dataset from Thielen et al. (2015)","description":"This dataset comprises preprocessed EEG recordings from 12 healthy participants performing a brain-computer interface task based on broad-band visually evoked potentials (BBVEPs). Participants controlled a 6×6 matrix speller by attending to target symbols while cells were stimulated with pseudo-random Gold code sequences. The study demonstrates a novel reconvolution approach for template generation that achieves 86% online accuracy and an information transfer rate of 48 bits per minute.","source":"nemar","recording_modality":["EEG"],"bids_version":null,"license":"CC0-1.0","authors":[{"name":"Jordy Thielen","name_type":"Personal","orcid":"0000-0002-6264-0367"},{"name":"Philip van den Broek","name_type":"Personal"},{"name":"Jason Farquhar","name_type":"Personal","orcid":"0000-0002-8560-0712"},{"name":"Peter Desain","name_type":"Personal"}],"keywords":[{"term":"Brain-Computer Interfaces","subject_scheme":"MeSH","value_uri":"http://id.nlm.nih.gov/mesh/D062207"},{"term":"Evoked Potentials, Visual","subject_scheme":"MeSH","value_uri":"http://id.nlm.nih.gov/mesh/D005074"},{"term":"EEG"},{"term":"visual stimulation"},{"term":"Gold codes"},{"term":"speller BCI"},{"term":"reconvolution"}],"related_identifiers":[{"identifier":"10.34973/1ecz-1232","identifier_type":"DOI","relation_type":"IsDerivedFrom"},{"identifier":"https://github.com/nemarDatasets/nm000196","identifier_type":"URL","relation_type":"IsDescribedBy"},{"identifier":"10.1371/journal.pone.0133797","identifier_type":"DOI","relation_type":"IsDescribedBy"},{"identifier":"https://nemar.org/dataset/nm000196","identifier_type":"URL","relation_type":"IsDescribedBy"}],"contributors":[],"dates":[],"rights":[{"rights":"CC0-1.0","rights_uri":null,"rights_identifier":"CC0-1.0","rights_identifier_scheme":"SPDX"}],"language":null,"funding":[{"funder_name":"BrainGain Smart Mix Program of the Netherlands Ministry of Economic Affairs","award_number":null,"award_title":null,"funder_identifier":null,"funder_identifier_type":null,"award_uri":null},{"funder_name":"Netherlands Ministry of Economic Affairs","award_number":null,"award_title":"BrainGain Smart Mix Program","funder_identifier":null,"funder_identifier_type":null,"award_uri":null},{"funder_name":"Netherlands Ministry of Education, Culture and Science","award_number":"SSM06011","award_title":null,"funder_identifier":null,"funder_identifier_type":null,"award_uri":null}],"tasks":["cvep"],"datatypes":["eeg"],"sessions":["0"],"sessions_count":1,"demographics":{"subjects_count":12,"age_min":24,"age_max":24},"data_summary":{"total_files":360,"size_bytes":11857561091,"size_human":"11.0 GB"},"provenance":{"latest_snapshot":"v1.0.3","publish_date":"2026-08-18 21:10:02"},"external_links":{"dataset_doi":"10.82901/nemar.nm000196","github_url":"https://github.com/nemarDatasets/nm000196"},"extensions":{"nemar":{"versions":[{"version":"v1.0.3","doi":"10.82901/nemar.nm000196.v1.0.3","created_at":"2026-08-18 21:10:02","manifest_url":"/nm000196/v1.0.3/manifest.json"},{"version":"v1.0.2","doi":"10.82901/nemar.nm000196.v1.0.2","created_at":"2026-08-14 22:00:57","manifest_url":"/nm000196/v1.0.2/manifest.json"},{"version":"v1.0.1","doi":"10.82901/nemar.nm000196.v1.0.1","created_at":"2026-08-12 16:10:32","manifest_url":"/nm000196/v1.0.1/manifest.json"},{"version":"v1.0.0","doi":"10.82901/nemar.nm000196.v1.0.0","created_at":"2026-06-02 01:30:54","manifest_url":"/nm000196/v1.0.0/manifest.json"}],"bids_index":{"version":"v1.0.3","subjects":{"sub-1":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"cvep":{"runs":["0","1","2"]}}}}},"sub-10":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"cvep":{"runs":["0","1","2"]}}}}},"sub-11":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"cvep":{"runs":["0","1","2"]}}}}},"sub-12":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"cvep":{"runs":["0","1","2"]}}}}},"sub-2":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"cvep":{"runs":["0","1","2"]}}}}},"sub-3":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"cvep":{"runs":["0","1","2"]}}}}},"sub-4":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"cvep":{"runs":["0","1","2"]}}}}},"sub-5":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"cvep":{"runs":["0","1","2"]}}}}},"sub-6":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"cvep":{"runs":["0","1","2"]}}}}},"sub-7":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"cvep":{"runs":["0","1","2"]}}}}},"sub-8":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"cvep":{"runs":["0","1","2"]}}}}},"sub-9":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"cvep":{"runs":["0","1","2"]}}}}}}},"pipeline_stage":"validated","data_complete":1,"bytes_present":11833965192}}}