{"schema_version":"0.3.0","doc_type":"dataset","dataset_id":"on002724","name":"A dataset recorded during development of an affective brain-computer music interface: training sessions","description":"This dataset contains electroencephalogram (EEG), galvanic skin response (GSR), and electrocardiogram (ECG) recordings from 17 healthy participants during an affective music brain-computer interface training study. Participants listened to 40-second music clips (20s per emotional state) designed to induce specific emotional states across three sessions, with self-reported valence and arousal ratings. The data supports the development and validation of music-based brain-computer interfaces for monitoring and inducing affective states. This is the training session dataset; two additional datasets cover system calibration and online real-time control phases.","source":"nemar","recording_modality":["EEG"],"bids_version":null,"license":"CC0","authors":[{"name":"Ian Daly","name_type":"Personal"},{"name":"Nicoletta Nicolaou","name_type":"Personal"},{"name":"Duncan Williams","name_type":"Personal","orcid":"0000-0003-4793-8330","affiliations":[{"name":"Plymouth University, Plymouth, Devon, UK","identifier":null,"scheme":null}]},{"name":"Faustina Hwang","name_type":"Personal"},{"name":"Alexis Kirke","name_type":"Personal"},{"name":"Eduardo Miranda","name_type":"Personal"},{"name":"Slawomir J. Nasuto","name_type":"Personal"}],"keywords":[{"term":"EEG"},{"term":"brain-computer interface"},{"term":"emotion recognition"},{"term":"affective computing"},{"term":"music perception"},{"term":"valence"},{"term":"arousal"},{"term":"galvanic skin response"},{"term":"Electrocardiography","subject_scheme":"MeSH","value_uri":"http://id.nlm.nih.gov/mesh/D004562"},{"term":"synthetic music"},{"term":"music-induced emotion"}],"related_identifiers":[{"identifier":"https://github.com/nemarDatasets/on002724","identifier_type":"URL","relation_type":"IsDescribedBy"},{"identifier":"https://nemar.org/dataexplorer/detail?dataset_id=on002724","identifier_type":"URL","relation_type":"IsDescribedBy"},{"identifier":"10.1145/3059005","identifier_type":"DOI","relation_type":"References"},{"identifier":"10.1038/sdata.2018.3","identifier_type":"DOI","relation_type":"IsDescribedBy"},{"identifier":"10.18112/openneuro.ds002724.v1.0.1","identifier_type":"DOI","relation_type":"IsDerivedFrom"}],"contributors":[],"dates":[],"rights":[{"rights":"CC0","rights_uri":null,"rights_identifier":"CC0","rights_identifier_scheme":"SPDX"}],"language":null,"funding":[{"funder_name":"Engineering and Physical Sciences Research Council","award_number":"EP/J003077/1","award_title":null,"funder_identifier":null,"funder_identifier_type":null,"award_uri":null},{"funder_name":"Engineering and Physical Sciences Research Council","award_number":"EP/J002135/1","award_title":null,"funder_identifier":null,"funder_identifier_type":null,"award_uri":null}],"tasks":["run1","run2","run3","run4"],"datatypes":["eeg"],"sessions":["1","2","3"],"sessions_count":3,"demographics":{"subjects_count":10,"age_min":19,"age_max":24},"data_summary":{"total_files":850,"size_bytes":9150252438,"size_human":"8.52 GB"},"provenance":{"latest_snapshot":"v1.0.0","publish_date":"2026-06-21 09:08:30"},"external_links":{"dataset_doi":"10.82901/nemar.on002724","github_url":"https://github.com/nemarDatasets/on002724"},"extensions":{"nemar":{"versions":[{"version":"v1.0.0","doi":"10.82901/nemar.on002724.v1.0.0","created_at":"2026-06-21 09:08:30","manifest_url":"/on002724/v1.0.0/manifest.json"}],"bids_index":{"version":"v1.0.0","subjects":{"sub-08":{"sessions":["3"],"modalities":{"eeg":{"tasks":{"run1":{"runs":[]},"run2":{"runs":[]},"run3":{"runs":[]},"run4":{"runs":[]}}}}},"sub-09":{"sessions":["1","2","3"],"modalities":{"eeg":{"tasks":{"run1":{"runs":[]},"run2":{"runs":[]},"run3":{"runs":[]},"run4":{"runs":[]}}}}},"sub-10":{"sessions":["1","2","3"],"modalities":{"eeg":{"tasks":{"run1":{"runs":[]},"run2":{"runs":[]},"run3":{"runs":[]},"run4":{"runs":[]}}}}},"sub-11":{"sessions":["1","2","3"],"modalities":{"eeg":{"tasks":{"run1":{"runs":[]},"run2":{"runs":[]},"run3":{"runs":[]},"run4":{"runs":[]}}}}},"sub-12":{"sessions":["1","2","3"],"modalities":{"eeg":{"tasks":{"run1":{"runs":[]},"run2":{"runs":[]},"run3":{"runs":[]},"run4":{"runs":[]}}}}},"sub-13":{"sessions":["1","2","3"],"modalities":{"eeg":{"tasks":{"run1":{"runs":[]},"run2":{"runs":[]},"run3":{"runs":[]},"run4":{"runs":[]}}}}},"sub-14":{"sessions":["1","2"],"modalities":{"eeg":{"tasks":{"run1":{"runs":[]},"run2":{"runs":[]},"run3":{"runs":[]},"run4":{"runs":[]}}}}},"sub-15":{"sessions":["1","2","3"],"modalities":{"eeg":{"tasks":{"run1":{"runs":[]},"run2":{"runs":[]},"run3":{"runs":[]},"run4":{"runs":[]}}}}},"sub-16":{"sessions":["1","2"],"modalities":{"eeg":{"tasks":{"run1":{"runs":[]},"run2":{"runs":[]},"run3":{"runs":[]},"run4":{"runs":[]}}}}},"sub-17":{"sessions":["1"],"modalities":{"eeg":{"tasks":{"run1":{"runs":[]},"run2":{"runs":[]},"run3":{"runs":[]},"run4":{"runs":[]}}}}}}},"pipeline_stage":"enriched","data_complete":1,"bytes_present":9149979930}}}