{"dataset":{"id":"45729","dataset_id":"on007895","name":"Auditory Streaming and Interoception","description":"This dataset comprises auditory neurophysiological recordings investigating the relationship between auditory streaming perception and interoceptive awareness. 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Participants engaged in auditory tasks while electrophysiological signals were recorded, enabling examination of how the brain processes complex auditory scenes and integrates bodily state information during perceptual organization.\",\n  \"methods_description\": \"Electrophysiological data were collected during auditory streaming tasks. Data are organized according to the Brain Imaging Data Structure (BIDS) standard for EEG, facilitating standardized analysis and sharing.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"John Veillette\": {},\n    \"Aditi Joshi\": {},\n    \"Ying Li\": {},\n    \"Howard Nusbaum\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"auditory streaming\"\n    },\n    {\n      \"term\": \"interoception\"\n    },\n    {\n      \"term\": \"perceptual organization\"\n    },\n    {\n      \"term\": \"Electrophysiology\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D004594\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on007895\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.21105/joss.01896\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.1038/s41597-019-0104-8\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds007895.v1.0.0\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/on007895\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"NSF\",\n      \"award_number\": \"BCS 2024923\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"7.8 GB (183 files)\"\n  ],\n  \"formats\": [\n    \".DS_Store\",\n    \".eeg\",\n    \".gz\",\n    \".json\",\n    \".md\",\n    \".tsv\",\n    \".vhdr\",\n    \".vmrk\",\n    \".yml\"\n  ],\n  \"source_hash\": \"96a374a5a06943290b72b5c1b94eeb0d548075b5448f720932b563c25a4f86e7\"\n}","last_activity_at":"2026-06-19 07:31:38","source":"openneuro","source_id":"ds007895","subject_count":22,"modalities":"eeg","age_min":18,"age_max":21,"file_size":7781273806,"total_files":460,"tasks":"discrimination,streaming","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"John Veillette, Aditi Joshi, Ying Li, Howard Nusbaum","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007895-blue)](https://doi.org/10.82901/nemar.on007895)\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. 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