{"dataset":{"id":"51648","dataset_id":"on002725","name":"A dataset recording joint EEG-fMRI during affective music listening ","description":"A joint EEG-fMRI dataset acquired from 21 healthy adult participants during affective music listening. Participants listened to music stimuli designed to elicit different emotional responses and provided self-reported affective state ratings. This multimodal neuroimaging dataset enables investigation of the neural correlates of emotional responses to music across both electrophysiological and hemodynamic measures.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on002725","concept_doi":"10.82901/nemar.on002725","latest_version_doi":"10.82901/nemar.on002725.v1.0.0","created_at":"2026-06-21 09:30:57","updated_at":"2026-07-10 22:11:41","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"enriched\",\n  \"title\": \"A dataset recording joint EEG-fMRI during affective music listening \",\n  \"description\": \"A joint EEG-fMRI dataset acquired from 21 healthy adult participants during affective music listening. Participants listened to music stimuli designed to elicit different emotional responses and provided self-reported affective state ratings. This multimodal neuroimaging dataset enables investigation of the neural correlates of emotional responses to music across both electrophysiological and hemodynamic measures.\",\n  \"methods_description\": \"Data were collected using simultaneous EEG-fMRI recording while participants listened to music stimuli selected to produce varying affective responses. Participants self-reported their felt affective states during the listening task.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Ian Daly\": {\n      \"orcid\": \"0000-0001-5489-0393\"\n    },\n    \"Nicoletta Nicolaou\": {},\n    \"Duncan Williams\": {},\n    \"Faustina Hwang\": {},\n    \"Alexis Kirke\": {},\n    \"Eduardo Miranda\": {},\n    \"Slawomir J. Nasuto\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"fMRI\"\n    },\n    {\n      \"term\": \"simultaneous EEG-fMRI\"\n    },\n    {\n      \"term\": \"music\"\n    },\n    {\n      \"term\": \"music listening\"\n    },\n    {\n      \"term\": \"emotion recognition\"\n    },\n    {\n      \"term\": \"affective neuroscience\"\n    },\n    {\n      \"term\": \"multimodal neuroimaging\"\n    },\n    {\n      \"term\": \"subjective ratings\"\n    },\n    {\n      \"term\": \"healthy controls\"\n    },\n    {\n      \"term\": \"adult participants\"\n    },\n    {\n      \"term\": \"music emotion\"\n    },\n    {\n      \"term\": \"concurrent recording\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on002725\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataexplorer/detail?dataset_id=on002725\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.1038/s41598-019-45105-2\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds002725.v1.0.0\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    }\n  ],\n  \"resource_type_specific\": \"Structural MRI Dataset\",\n  \"modalities\": [\n    \"anat\",\n    \"eeg\",\n    \"func\"\n  ],\n  \"sizes\": [\n    \"16.4 GB (467 files)\"\n  ],\n  \"formats\": [\n    \".edf\",\n    \".gitattributes\",\n    \".gz\",\n    \".json\",\n    \".m\",\n    \".md\",\n    \".mp3\",\n    \".nfs9e496b7eb5e78e49000006e0\",\n    \".tsv\",\n    \".wav\",\n    \".yml\"\n  ],\n  \"source_hash\": \"35ec7dba16b6db71e84b483dc3b94dddabd6b46aefdc621120d96fa83b2865ca\"\n}","last_activity_at":"2026-06-21 09:30:57","source":"openneuro","source_id":"ds002725","subject_count":21,"modalities":"anat,eeg,func","age_min":20,"age_max":29,"file_size":16447832528,"total_files":1105,"tasks":"classicalMusic,genMusic01,genMusic02,genMusic03,washout","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Ian Daly, Nicoletta Nicolaou, Duncan Williams, Faustina Hwang, Alexis Kirke, Eduardo Miranda, Slawomir J. Nasuto","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on002725-blue)](https://doi.org/10.82901/nemar.on002725)\n\nDataset: Joint EEG-fMRI recording during affective music listening.\r\n\r\nThis dataset was recorded from 21 healthy adult participants viia a joint EEG-fMRI modality while they\r\nlistened to a set of music stimuli chosen and generated to produce different affective (emotional)\r\nreponses. Participants self-reported their felt affective states as they listened to the music.\r\n\r\nThe full experiment description can be found in our paper (Daly et.al., 2019).\r\n\r\nData recorded in 2016\r\n\r\nPublished in 2019\r\n\r\n[1] Daly, I., Williams, D., Hwang, F., Kirke, A., Miranda, E. R., & Nasuto, S. J. (2019). Electroencephalography reflects the activity of sub-cortical brain regions during approach-withdrawal behaviour while listening to music. Scientific Reports, 9(1), 9415. https://doi.org/10.1038/s41598-019-45105-2\r\n\r\n","bids_version":"1.0.2","sessions_count":null,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-09-06 13:26:32","zarr_store_count":105,"zarr_index_etag":"a0ddcc72f4f1ee3b5948018108d5c2e7","zarr_source_commit":"317313b9f47856c049dfcf5155999268d1b49e48","archive_status":"ready","archive_size":13271007911,"archive_retry_count":0,"records_status":"ready","archive_skip_reason":null,"zarr_errors":0,"zarr_failure_count":0,"zarr_deterministic":0,"zarr_failed_at":null,"num_dataset_citations":0,"num_datapaper_citations":0,"n_channels":31,"electrode_system":"10-10","has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":16444019478,"data_complete":1,"withdrawn_at":null,"withdrawn_reason":null,"archive_complete":null,"archive_absent_files":null,"archive_declared_files":null,"zarr_pool_breaks":0,"total_recording_duration":81139,"recording_duration_min":90,"recording_duration_max":1976,"recording_count":105,"recordings_unavailable":0,"recordings_measured":105,"channel_count_min":47,"channel_count_max":47,"sampling_frequency":1000,"power_line_frequency":50,"eeg_reference":"placed on FCz","placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-06-21 09:39:18\",\"metadata_updated_at\":\"2026-06-21 09:39:27\",\"archive_checked_at\":\"2026-06-21 09:49:26\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-21 09:43:33\",\"citations_updated_at\":\"2026-09-08 03:00:54\",\"channel_montage_checked_at\":\"2026-06-28 23:08:18\",\"hed_checked_at\":\"2026-06-30 04:39:18\",\"data_checked_at\":\"2026-07-29 03:00:23\",\"availability_report_at\":\"2026-07-23 01:12:27\",\"signal_defaults_at\":\"2026-09-02 11:56:35\",\"recording_stats_at\":\"2026-09-07 03:00:58\"}","participants":21,"num_citations":0,"latest_version":"v1.0.0","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"nemarAdmin","owner_github":"nemarAdmin","file_size_formatted":"15.32 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/on002725/zarr/index.json","attestation_deposit_type":null,"attestation_key_status":null,"attestation_deidentified":null,"attestation_no_duplicate":null,"attestation_upstream_source":null,"attestation_accepted_at":null}}