{"dataset":{"id":"50768","dataset_id":"on002218","name":"Auditory and Visual Rhythm Omission EEG","description":"This EEG dataset comprises recordings from 18 participants engaged in auditory and visual rhythm perception tasks using an omission paradigm. The study dissociates predictive neural mechanisms from sensory-evoked activity by presenting rhythmic stimuli with occasional omissions in both auditory and visual modalities. Comprehensive preprocessing code, time-frequency analysis, frequency band extraction, and statistical procedures are provided, with cluster analysis performed using EEGLAB.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on002218","concept_doi":"10.82901/nemar.on002218","latest_version_doi":"10.82901/nemar.on002218.v1.0.0","created_at":"2026-06-21 03:00:56","updated_at":"2026-07-10 22:09:41","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"enriched\",\n  \"title\": \"Auditory and Visual Rhythm Omission EEG\",\n  \"description\": \"This EEG dataset comprises recordings from 18 participants engaged in auditory and visual rhythm perception tasks using an omission paradigm. The study dissociates predictive neural mechanisms from sensory-evoked activity by presenting rhythmic stimuli with occasional omissions in both auditory and visual modalities. Comprehensive preprocessing code, time-frequency analysis, frequency band extraction, and statistical procedures are provided, with cluster analysis performed using EEGLAB.\",\n  \"methods_description\": \"EEG recordings were obtained from 18 participants during separate auditory and visual rhythm perception tasks. Stimulus trains in both modalities contained occasional omissions to enable separation of predictive neural activity from sensory-evoked responses. Preprocessing, time-frequency computation, frequency band extraction, and statistical analysis were performed using provided code, with cluster formation conducted via EEGLAB Study function.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Daniel C Comstock\": {},\n    \"Ramesh Balasubramaniam\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"rhythm perception\"\n    },\n    {\n      \"term\": \"predictive coding\"\n    },\n    {\n      \"term\": \"omission paradigm\"\n    },\n    {\n      \"term\": \"omission\"\n    },\n    {\n      \"term\": \"auditory processing\"\n    },\n    {\n      \"term\": \"visual processing\"\n    },\n    {\n      \"term\": \"time-frequency analysis\"\n    },\n    {\n      \"term\": \"neural oscillations\"\n    },\n    {\n      \"term\": \"EEGLAB\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"mockDOI\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsIdenticalTo\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on002218\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataexplorer/detail?dataset_id=on002218\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.82901/nemar.on002218\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDescribedBy\"\n    }\n  ],\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"2.1 GB (48 files)\"\n  ],\n  \"formats\": [\n    \".fdt\",\n    \".gitattributes\",\n    \".jpg\",\n    \".json\",\n    \".m\",\n    \".md\",\n    \".set\",\n    \".tsv\",\n    \".wav\",\n    \".yml\"\n  ],\n  \"source_hash\": \"fee0231bb406c2856b70a23abf88041170bc74bba7b2eadb6e1aa914a4b27ae1\"\n}","last_activity_at":"2026-06-21 03:00:56","source":"openneuro","source_id":"ds002218","subject_count":18,"modalities":"eeg","age_min":null,"age_max":null,"file_size":2089186403,"total_files":146,"tasks":"Experiment","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Daniel C Comstock, Ramesh Balasubramaniam","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on002218-blue)](https://doi.org/10.82901/nemar.on002218)\n\nThis EEG dataset was recorded as part of a study of the predictive mechanisms of rhythm perception by using an omission paradigm to separate out predictive neural activity from sensory evoked neural activity. The study had 18 participants listen to auditory rhythms and watch visual flashing rhythms separately. The stimulus trains of both kinds of rhythms contained occasional omissions. Code for preprocessing, time/freq computation, frequency band extraction and statistics is provided. 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