{"dataset":{"id":"1904","dataset_id":"on007096","name":"PURSUE N170 Face Perception","description":"The PURSUE N170 Face Perception dataset comprises event-related potential (ERP) recordings from a face perception task conducted across three undergraduate institutions. Data were collected from participants in 2017-2018 using a standardized task design documented in the ERP CORE resource. This dataset provides a multisite contribution to open-access human electrophysiological research on face processing and the N170 component.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on007096","concept_doi":"10.82901/nemar.on007096","latest_version_doi":"10.82901/nemar.on007096.v1.0.0","created_at":"2026-06-03 06:35:02","updated_at":"2026-07-10 23:10:38","zenodo_concept_id":"20522036","is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"PURSUE N170 Face Perception\",\n  \"description\": \"The PURSUE N170 Face Perception dataset comprises event-related potential (ERP) recordings from a face perception task conducted across three undergraduate institutions. Data were collected from participants in 2017-2018 using a standardized task design documented in the ERP CORE resource. This dataset provides a multisite contribution to open-access human electrophysiological research on face processing and the N170 component.\",\n  \"methods_description\": \"EEG data were collected from participants at three primarily undergraduate academic institutions located in Southern California, Massachusetts, and Virginia during a face perception task conducted in 2017-2018. The task design follows the ERP CORE protocol as described in Kappenman et al. (2021). Detailed methodology and task parameters are provided in the supplementary materials of the ERP CORE publication.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Couperus, J.W.\": {},\n    \"Bukach, C.M.\": {},\n    \"Reed,C.L.\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"event-related potentials\"\n    },\n    {\n      \"term\": \"face perception\"\n    },\n    {\n      \"term\": \"N170 component\"\n    },\n    {\n      \"term\": \"visual processing\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.1016/j.neuroimage.2020.117465\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on007096\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataexplorer/detail?dataset_id=on007096\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds007096.v1.0.0\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    }\n  ],\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"12.5 GB (294 files)\"\n  ],\n  \"formats\": [\n    \".DS_Store\",\n    \".json\",\n    \".md\",\n    \".set\",\n    \".tsv\",\n    \".yml\"\n  ],\n  \"source_hash\": \"44bc5c26ca9d255865056a6221bb9b887d6b5814d25de3311d228e39a6339977\"\n}","last_activity_at":"2026-06-03 06:35:02","source":"openneuro","source_id":"ds007096","subject_count":292,"modalities":"eeg","age_min":18,"age_max":33,"file_size":12498174848,"total_files":294,"tasks":"FacePerception","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Couperus, J.W., Bukach, C.M., Reed,C.L.","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007096-blue)](https://doi.org/10.82901/nemar.on007096)\n\n# README                                                                                                                                                                                                                                                                                                                                                                                                                                                               \nFace Perception Task from the PURSUE project (pursureerp.com). Data collected from participants at 3 different primarily undergraduate academic institutions (Southern California, Massachusetts, and Virginia) in 2017 and 2018. The task design can be found in the publication by Kappenman et al.(2021). ERP CORE: An open resource for human event-related potential research. NeuroImage, 225, 117465. Details of task are found in the supplementary materials. \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                       \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                       \nRace Key:                  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                                                                                                                                                                                                                                                                                                                                                           \n      \"x2\": \"Black/African American\",                                                                                                                                                                                                                                                                                                                                                                                                                                  \n      \"x3\": \"Native American\",                                                                                                                                                             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                                                                                                              \n      \"x8\": \"Prefer not to respond\",                                                                                                                                                                                                                                                                                                                                                                                                                                   \n      \"x9\": \"Chose more than one response\",                                                                                                                                                                                                                                                                                                                                                                                             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