{"dataset":{"id":"61186","dataset_id":"on006735","name":"Chimeric music reveals an interaction of pitch and time in electrophysiological signatures of music encoding","description":"This dataset comprises EEG recordings from 27 healthy adult subjects investigating the interaction of pitch and time in music encoding using 'chimeric music' stimuli that recombine pitch contours and note onset-times from two distinct melodies. Data were collected between September and November 2023 at the University of Rochester, with participants exposed to original and chimeric monophonic music clips alongside click trains during a two-phase experiment. The dataset is formatted according to the EEG-BIDS standard and includes raw BrainVision format EEG data.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on006735","concept_doi":"10.82901/nemar.on006735","latest_version_doi":"10.82901/nemar.on006735.v1.0.0","created_at":"2026-06-29 09:01:48","updated_at":"2026-08-19 00:26:24","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"Chimeric music reveals an interaction of pitch and time in electrophysiological signatures of music encoding\",\n  \"description\": \"This dataset comprises EEG recordings from 27 healthy adult subjects investigating the interaction of pitch and time in music encoding using 'chimeric music' stimuli that recombine pitch contours and note onset-times from two distinct melodies. Data were collected between September and November 2023 at the University of Rochester, with participants exposed to original and chimeric monophonic music clips alongside click trains during a two-phase experiment. The dataset is formatted according to the EEG-BIDS standard and includes raw BrainVision format EEG data.\",\n  \"methods_description\": \"EEG data were collected in a sound-isolating booth. Subjects viewed a 24-inch BenQ monitor at ~60 cm distance. Auditory stimuli were presented at 60 dB SPL and 48000 Hz sampling rate via ER-2 insert earphones connected to an RME Babyface Pro digital sound card. Stimulus presentation was controlled using a Python script with the custom 'expyfun' package. The experiment had two phases: ten one-minute click trials, followed by 33 trials each of original and chimeric monophonic music clips presented in shuffled order with 0.5 s pauses between trials. Participants also completed a self-reported musicianship questionnaire after the session.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Tong Shan\": {},\n    \"Edmund C. Lalor\": {},\n    \"Ross K. Maddox\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"music perception\"\n    },\n    {\n      \"term\": \"Pitch Perception\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D010898\"\n    },\n    {\n      \"term\": \"Auditory Perception\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D001307\"\n    },\n    {\n      \"term\": \"chimeric music\"\n    },\n    {\n      \"term\": \"temporal processing\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.18112/openneuro.ds006735.v2.0.0\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on006735\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/on006735\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"the Schmitt Program in Neuroscience\"\n    },\n    {\n      \"funder_name\": \"NSF\",\n      \"award_number\": \"2142612\",\n      \"award_title\": \"NSF CAREER grant\"\n    },\n    {\n      \"funder_name\": \"Schmitt Program in Neuroscience\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"207.1 GB (83 files)\"\n  ],\n  \"formats\": [\n    \".eeg\",\n    \".json\",\n    \".md\",\n    \".pdf\",\n    \".tsv\",\n    \".vhdr\",\n    \".vmrk\",\n    \".yml\"\n  ],\n  \"source_hash\": \"01dfb28263689377c7e2aebd3f6777fd272cbe309e9656d2abef7e855af6c1c5\"\n}","last_activity_at":"2026-06-29 09:01:48","source":"openneuro","source_id":"ds006735","subject_count":27,"modalities":"eeg","age_min":null,"age_max":null,"file_size":207114904309,"total_files":225,"tasks":"ChimericMusic","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Tong Shan, Edmund C. Lalor, Ross K. Maddox","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006735-blue)](https://doi.org/10.82901/nemar.on006735)\n\n# Details related to access to the data\nPlease contact the following authors for further information:\n\nTong Shan (email: tongshan@stanford.edu)\n\nRoss K. Maddox (email: rkmaddox@med.umich.edu)\n\n# Overview\nThis study examines pitch-time interactions in music processing by introducing “chimeric music,” which pairs two distinct melodies, and exchanges their pitch contours and note onset-times to create two new melodies, thereby distorting musical pattern while maintaining the marginal statistics of the original pieces’ pitch and temporal sequences. \n\nData collected from Sep to Nov, 2023.\n\nThe details of the experiment can be found at Shan et al. (2024). There were two phases in this experiment. For the first phase, ten trials of one-minute clicks were presented to the subjects. For the second phase, the 2 types of monophonic music (original and chimeric) clips were presented. There were 33 trials for each type with shuffled order. Between trials, there was a 0.5 s pause.\n\nThe code for analysis for this study can be found in GitHub repo (https://github.com/maddoxlab/Chimeric_music).\n\n\n# Format\nThis dataset is formatted according to the EEG Brain Imaging Data Structure. It includes EEG recording from subject 001 to subject 027 in raw brainvision format (including .eeg, .vhdr, and .vmrk triplet).\n\n\n# Subjects\n27 subjects participated in this study. \n\n## Subject inclusion criteria\n\nAge between 18-40.\n\nNormal hearing: audiometric thresholds of 20 dB HL or better from 500 to 8000 Hz.\nSpeak English as their primary language.\n\nSelf-reported normal or correctable to normal vision.\n\nTwenty-seven participants participated in this experiment with an age of 22.9 ± 3.9 (mean ± STD) years. \n\n# Apparatus\nSubjects were seated in a sound-isolating booth on a chair in front of a 24-inch BenQ monitor with a viewing distance of approximately 60 cm. Stimuli were presented at an average level of 60 dB SPL and a sampling rate of 48000 Hz through ER-2 insert earphones plugged into an RME Babyface Pro digital sound card. The stimulus presentation for the experiment was controlled by a python script using a custom package, expyfun.\n\nFollowing the experimental session, participants completed a self-reported musicianship questionnaire (adapted from Whiteford et al, 2025). The questionnaire is included in this repository. \n\n","bids_version":"1.2.1","sessions_count":null,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-08-24 02:37:45","zarr_store_count":27,"zarr_index_etag":"50bb12a9231e160293c850a3431800b9","zarr_source_commit":"be2a6b6098f8471ba25d4b27f40a81bc8938755b","archive_status":null,"archive_size":null,"archive_retry_count":0,"records_status":null,"archive_skip_reason":"dataset 192.9 GB exceeds 100.0 GB archive limit; use direct download","zarr_errors":0,"zarr_failure_count":0,"zarr_deterministic":0,"zarr_failed_at":null,"num_dataset_citations":0,"num_datapaper_citations":0,"n_channels":34,"electrode_system":"10-10","has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":207113220241,"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":139830.55999999997,"recording_duration_min":357.32,"recording_duration_max":6473.06,"recording_count":27,"recordings_unavailable":0,"recordings_measured":27,"channel_count_min":34,"channel_count_max":63,"sampling_frequency":10000,"power_line_frequency":50,"eeg_reference":"Unknown","placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-08-19 00:26:10\",\"metadata_updated_at\":\"2026-08-19 00:26:23\",\"archive_checked_at\":\"2026-06-29 09:14:03\",\"zarr_checked_at\":null,\"records_checked_at\":null,\"citations_updated_at\":\"2026-09-10 03:00:21\",\"channel_montage_checked_at\":null,\"hed_checked_at\":\"2026-06-30 05:37:05\",\"data_checked_at\":\"2026-08-29 03:00:57\",\"availability_report_at\":\"2026-07-23 01:29:59\",\"recording_stats_at\":\"2026-09-02 11:33:45\",\"signal_defaults_at\":\"2026-09-02 12:48:06\"}","participants":27,"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":"193 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/on006735/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}}