{"dataset":{"id":"61288","dataset_id":"on008701","name":"MET - Music-Induced Emotion EEG Dataset","description":"The MET dataset comprises 128-channel (downsampled to 66-channel) EEG recordings from 20 participants during resting-state and music-listening conditions, designed to investigate music-induced emotional responses. Each participant underwent one resting-state session and twenty music-listening sessions, each corresponding to a distinct song lasting 130 seconds. The dataset is organized according to the BIDS specification for EEG data.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on008701","concept_doi":"10.82901/nemar.on008701","latest_version_doi":"10.82901/nemar.on008701.v1.0.0","created_at":"2026-09-08 20:30:59","updated_at":"2026-09-08 20:40:33","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"MET - Music-Induced Emotion EEG Dataset\",\n  \"description\": \"The MET dataset comprises 128-channel (downsampled to 66-channel) EEG recordings from 20 participants during resting-state and music-listening conditions, designed to investigate music-induced emotional responses. Each participant underwent one resting-state session and twenty music-listening sessions, each corresponding to a distinct song lasting 130 seconds. The dataset is organized according to the BIDS specification for EEG data.\",\n  \"methods_description\": \"EEG signals were originally recorded using a 128-channel EEG system at a sampling rate of 1000 Hz. After preprocessing and channel selection, 66 EEG channels are provided. Each music-listening session (130 seconds) included 5 seconds before music onset, 120 seconds of music playback, and 5 seconds after music offset.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Weng Lam, Cheang\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"music perception\"\n    },\n    {\n      \"term\": \"Emotion-Focused Therapy\",\n      \"subject_scheme\": \"MeSH\",\n      \"scheme_uri\": \"https://id.nlm.nih.gov/mesh/\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D000071441\"\n    },\n    {\n      \"term\": \"resting state\"\n    },\n    {\n      \"term\": \"BIDS\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on008701\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/on008701\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.21105/joss.01896\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"10.1038/s41597-019-0104-8\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds008701.v1.0.2\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"13.05 GB (400 files)\"\n  ],\n  \"formats\": [\n    \".json\",\n    \".md\",\n    \".set\",\n    \".tsv\",\n    \".yml\"\n  ],\n  \"source_hash\": \"00fa3b6a1214fa1147d58ac7880dd6bf9da534a6fd85f2a15a0a6da3cc7da72f\"\n}","last_activity_at":"2026-09-08 20:30:59","source":"openneuro","source_id":"ds008701","subject_count":20,"modalities":"eeg","age_min":null,"age_max":null,"file_size":14020380119,"total_files":3201,"tasks":"music","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Weng Lam, Cheang","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on008701-blue)](https://doi.org/10.82901/nemar.on008701)\n\n# MET: Music-Induced EEG Dataset\n\n## Overview\n\nThe MET (Music-Induced EEG Dataset) contains EEG recordings collected from 20 participants during resting-state and music-listening experiments.\n\nEach participant completed:\n- One resting-state recording session (`ses-rest`)\n- Twenty music-listening sessions (`ses-t01` to `ses-t20`)\n\nEach music session corresponds to a different song. The total recording duration for each song is 130 seconds, including:\n\n- 5 seconds before music onset\n- 120 seconds of music playback\n- 5 seconds after music offset\n\nEEG signals were originally recorded using a 128-channel EEG system at a sampling rate of 1000 Hz. After preprocessing and channel selection, 66 EEG channels are provided in this dataset.\n\nThe dataset follows the Brain Imaging Data Structure (BIDS) specification for EEG recordings.\n\n---\n\n## Repository Structure\n\nEach EEG session contains the following files:\n\n*_eeg.eeg: EEG signal data in BrainVision format. (Unit: µV [microvolts])\n\n*_eeg.vhdr: BrainVision header file containing acquisition parameters.\n\n*_eeg.vmrk: Event marker file.\n\n*_eeg.json: EEG recording metadata.\n\n*_channels.tsv: Information about EEG channels, including channel names and units.\n\n*_events.tsv: Timing information for experimental events.\n\n*_events.json: Description of event variables stored in events.tsv.\n\n*_electrodes.tsv: Spatial coordinates of EEG electrodes.\n\n*_coordsystem.json: Coordinate system used for electrode locations.\n\n*_scans.tsv: List of files acquired during the session.\n\n---\n\n## Sample Code (PTTHON):\n\n```py\n\nfrom mne_bids import BIDSPath, read_raw_bids\n\n# 1. Set file path and file name\nbids_path = BIDSPath(\n    subject='01',          # subject index (eg. 01)\n    session='t01',          # trial index (eg. t01)\n    task='music',\n    datatype='eeg',\n    root='/Users/kathy/Documents/EEG data/EGI_preprocessed_bids' # directory root path\n)\n\n# 2. Load BIDS file\nraw_read = read_raw_bids(bids_path=bids_path, extra_params={'preload': True})\n\n# 3. Check Info\nprint(raw_read.info)\n\n```\n\n---\n\n\n\nReferences\n----------\nAppelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Höchenberger, R., Welke, D., Brunner, C., Rockhill, A., Larson, E., Gramfort, A. and Jas, M. (2019). MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal of Open Source Software 4: (1896). https://doi.org/10.21105/joss.01896\n\nPernet, C. R., Appelhoff, S., Gorgolewski, K. J., Flandin, G., Phillips, C., Delorme, A., Oostenveld, R. (2019). EEG-BIDS, an extension to the brain imaging data structure for electroencephalography. Scientific Data, 6, 103. https://doi.org/10.1038/s41597-019-0104-8\n\n","bids_version":"1.7.0","sessions_count":20,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":null,"zarr_converted_at":null,"zarr_store_count":null,"zarr_index_etag":null,"zarr_source_commit":null,"archive_status":"ready","archive_size":12997037145,"archive_retry_count":0,"records_status":"ready","archive_skip_reason":null,"zarr_errors":null,"zarr_failure_count":null,"zarr_deterministic":null,"zarr_failed_at":null,"num_dataset_citations":0,"num_datapaper_citations":0,"n_channels":66,"electrode_system":"10-10","has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":14016232273,"data_complete":1,"withdrawn_at":null,"withdrawn_reason":null,"archive_complete":1,"archive_absent_files":0,"archive_declared_files":3201,"zarr_pool_breaks":null,"total_recording_duration":null,"recording_duration_min":null,"recording_duration_max":null,"recording_count":null,"recordings_unavailable":null,"recordings_measured":null,"channel_count_min":null,"channel_count_max":null,"sampling_frequency":1000,"power_line_frequency":null,"eeg_reference":null,"placement_scheme":"based on the extended 10/20 system","sweep_stamps":"{\"enrichment_updated_at\":\"2026-09-08 20:39:50\",\"metadata_updated_at\":\"2026-09-08 20:40:31\",\"records_checked_at\":\"2026-09-08 20:41:26\",\"archive_checked_at\":\"2026-09-08 20:47:44\"}","participants":20,"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":"13.06 GB","zarr_data_failures":null,"zarr_index_url":null,"attestation_deposit_type":null,"attestation_key_status":null,"attestation_deidentified":null,"attestation_no_duplicate":null,"attestation_upstream_source":null,"attestation_accepted_at":null}}