{"success":true,"database":"eegdash","data":{"_id":"6953f4239276ef1ee07a32aa","dataset_id":"ds002721","associated_paper_doi":null,"authors":["Ian Daly","Nicoletta Nicolaou","Duncan Williams","Faustina Hwang","Alexis Kirke","Eduardo Miranda","Slawomir J. Nasuto"],"bids_version":"1.0.2","contact_info":["Ian Daly"],"contributing_labs":null,"data_processed":false,"dataset_doi":"10.18112/openneuro.ds002721.v1.0.2","datatypes":["eeg"],"demographics":{"subjects_count":31,"ages":[31,29,39,49,23,63,34,29,36,29,51,34,60,30,59,44,59,39,44,32,66,61,22,18,62,26,38,26,35,22,23],"age_min":18,"age_max":66,"age_mean":39.12903225806452,"species":null,"sex_distribution":{"m":13,"f":18},"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds002721","osf_url":null,"github_url":null,"paper_url":null},"funding":[],"ingestion_fingerprint":"ce2c80c266ec1938411cf3402087b0408c8eb7ac5396839612fa25877a922174","license":"CC0","n_contributing_labs":null,"name":"An EEG dataset recorded during affective music listening","readme":"0. Sections\n------------\n1. Project\n2. Dataset\n3. Terms of Use\n4. Contents\n5. Method and Processing\n1. PROJECT\n------------\nTitle: Brain-Computer Music Interface for Monitoring and Inducing Affective States (BCMI-MIdAS)\nDates: 2012-2017\nFunding organisation: Engineering and Physical Sciences Research Council (EPSRC)\nGrant no.: EP/J003077/1 and EP/J002135/1.\n2. DATASET\n------------\nTitle: EEG data investigating neural correlates of music-induced emotion.\nDescription: This dataset accompanies the publication by Daly et al. (2018) and has been analysed in Daly et al. (2014; 2015a; 2015b) (please see Section 5 for full references). The purpose of the research activity in which the data were collected was to investigate the EEG neural correlates of music-induced emotion. For this purpose 31 healthy adult participants listened to 40 music clips of 12 s duration each, targeting a range of emotional states. The music clips comprised excerpts from film scores spanning a range of styles and rated on induced emotion.\nThe dataset contains unprocessed EEG data from all 31 participants (age range 18-66, 18 female) while listening to the music clips, together with the reported induced emotional responses . The paradigm involved 6 runs of EEG recordings. The first and last runs were resting state runs, during which participants were instructed to sit still and rest for 300 s. The other 4 runs each contained 10 music listening trials.\nPublication Year: 2018\nCreator: Nicoletta Nicolaou, Ian Daly.\nContributors: Isil Poyraz Bilgin, James Weaver, Asad Malik.\nPrincipal Investigator: Slawomir Nasuto (EP/J003077/1).\nCo-Investigator: Eduardo Miranda (EP/J002135/1).\nOrganisation: University of Reading\nRights-holders: University of Reading\nSource: The musical stimuli were taken from Eerola & Vuoskoski, “A comparison of the discrete and dimensional models of emotion in music”, Psychol. Music, 39:18-49, 2010 (doi: 10.1177/0305735610362821). Stimuli set 1 was used (https://www.jyu.fi/hytk/fi/laitokset/mutku/en/research/projects2/past-projects/coe/materials/emotion/soundtracks/set1/view)\nSystem: The data is prepared for use on Windows systems and no garanantee is made that the datasets can be opened correctly on other systems.\n3. TERMS OF USE\n-----------------\nCopyright University of Reading, 2018. This dataset is licensed by the rights-holder(s) under a Creative Commons Attribution 4.0 International Licence: https://creativecommons.org/licenses/by/4.0/.\n4. CONTENTS\n------------\nBIDS File listing:\nThe dataset comprises data from 31 participants, named using the convention:\nsub_s_number\nwhere: s_number is a random participant number from 1 to 31. For example: ‘sub-08’ contains data obtained from participant 8.\nThe data is BIDS format and contains EEG and associated meta data. The sampling rate is 1 kHz and the EEG corresponding to a music clip is 20 s long (the duration of the clips).\nEach data folder contains the following data (please note that the number of runs varies between participants):\n5. METHOD and PROCESSING\n--------------------------\nThis information is available in the following publications:\n[1] Daly, I., Nicolaou, N., Williams, D., Hwang, F., Kirke, A., Miranda, E., Nasuto, S.J., Ԏeural and physiological data from participants listening to affective musicԬ Scientific Data, 2018.\n[2] Daly, I., Malik, A., Hwang, F., Roesch, E., Weaver, J., Kirke, A., Williams, D., Miranda, E. R., Nasuto, S. J., Ԏeural correlates of emotional responses to music: an EEG studyԬ Neuroscience Letters, 573: 52-7, 2014; doi: 10.1016/j.neulet.2014.05.003.\n[3] Daly, I., Hallowell, J., Hwang, F., Kirke, A., Malik, A., Roesch, E., Weaver, J., Williams, D., Miranda, E., Nasuto, S.J., ԃhanges in music tempo entrain movement related brain activityԬ Proc. IEEE EMBC 2014, pp.4595-8; doi: 10.1109/EMBC.2014.6944647\n[4] Daly, I., Williams, D., Hallowell, J., Hwang, F., Kirke, A., Malik, A., Weaver, J., Miranda, E., Nasuto, S.J., ԍusic-induced emotions can be predicted from a combination of brain activity and acoustic featuresԬ Brain and Cognition, 101:1-11, 2015b; doi: 10.1016/j.bandc.2015.08.003\nPlease cite these references if you use this dataset in your study.\nThank you for your interest in our work.","recording_modality":["eeg"],"senior_author":"Slawomir J. Nasuto","sessions":[],"size_bytes":3598850279,"source":"openneuro","study_design":null,"study_domain":null,"tasks":[],"timestamps":{"digested_at":"2026-04-22T12:25:28.355331+00:00","dataset_created_at":"2020-04-22T21:09:02.975Z","dataset_modified_at":"2024-02-19T15:56:43.000Z"},"total_files":185,"storage":{"backend":"s3","base":"s3://openneuro.org/ds002721","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.tsv"]},"nemar_citation_count":10,"computed_title":"An EEG dataset recorded during affective music listening","nchans_counts":[{"val":19,"count":185}],"sfreq_counts":[{"val":1000.0,"count":185}],"stats_computed_at":"2026-04-22T23:16:00.221682+00:00","tags":{"modality":"Auditory","pathology":"Healthy","type":"Affect"},"total_duration_s":null,"author_year":"Daly2020_recorded_affective","canonical_name":null}}