{"dataset":{"id":"60929","dataset_id":"on005416","name":"Fatigue Characterization of EEG under Mixed Reality Stereo Vision","description":"This dataset contains EEG recordings collected to characterize visual fatigue induced by mixed reality stereo vision. Participants viewed resting and movement scenes designed to elicit varying degrees of visual fatigue while EEG was recorded from 24 scalp electrodes. The dataset supports both resting-state and task-state EEG analyses related to fatigue characterization under stereoscopic visual stimulation.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on005416","concept_doi":"10.82901/nemar.on005416","latest_version_doi":"10.82901/nemar.on005416.v1.0.0","created_at":"2026-06-27 03:01:41","updated_at":"2026-08-19 01:40:10","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"Fatigue Characterization of EEG under Mixed Reality Stereo Vision\",\n  \"description\": \"This dataset contains EEG recordings collected to characterize visual fatigue induced by mixed reality stereo vision. Participants viewed resting and movement scenes designed to elicit varying degrees of visual fatigue while EEG was recorded from 24 scalp electrodes. The dataset supports both resting-state and task-state EEG analyses related to fatigue characterization under stereoscopic visual stimulation.\",\n  \"methods_description\": \"EEG was recorded using 24 electrodes (Fp1, Fp2, AF3, AF4, F7, Fz, F8, FC5, FC6, FT7, FT8, C3, Cz, C4, CP3, CP4, P3, Pz, P4, PO3, PO4, O1, Oz, O2) covering frontal, temporal, central, parietal, and occipital regions. Each participant watched 2 resting scenes and 15 movement scenes in a mixed reality stereo vision setup, followed by a rating scene after each exercise scene. Movement scenes consisted of 20 trials of reciprocal periodic movements at fixed depth and velocity.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Yan Wu\": {},\n    \"Chunguang Tao\": {},\n    \"Qi Li\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"Fatigue\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D005221\"\n    },\n    {\n      \"term\": \"mixed reality\"\n    },\n    {\n      \"term\": \"stereo vision\"\n    },\n    {\n      \"term\": \"visual fatigue\"\n    },\n    {\n      \"term\": \"resting-state EEG\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on005416\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds005416.v1.0.1\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/on005416\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"Jilin Scientific and Technology Development Program\",\n      \"award_number\": \"20240101358JC\"\n    }\n  ],\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"22.9 GB (47 files)\"\n  ],\n  \"formats\": [\n    \".fdt\",\n    \".json\",\n    \".md\",\n    \".set\",\n    \".tsv\",\n    \".yml\"\n  ],\n  \"source_hash\": \"e33722bda1965347a01c434d6268e2e1eedf2dde0728b1b4141e1c53e124f667\"\n}","last_activity_at":"2026-06-27 03:01:41","source":"openneuro","source_id":"ds005416","subject_count":23,"modalities":"eeg","age_min":22,"age_max":27,"file_size":22869328087,"total_files":147,"tasks":"WatchingTask","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Yan Wu, Chunguang Tao, Qi Li","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005416-blue)](https://doi.org/10.82901/nemar.on005416)\n\nIn this study, we selected 24 electrodes for EEG recording: Fp1, Fp2, AF3, AF4, F7, Fz, F8, FC5, FC6 (frontal), FT7, FT8 (temporal), C3, Cz, C4, CP3, CP4 (central), P3, Pz, P4, PO3, PO4 (parietal), and O1, Oz, O2 (occipital).\nEach participant was required to complete watching 2 resting scenes and 15 movement scenes. \nA rating scene appeared to rate each exercise scene watched. \nEach movement scene consisted of 20 trials of reciprocal periodic movements at a fixed depth and velocity.\nWe focused on analyzing EEG data from watching resting scenes. \nResearchers can use this EEG data to do resting-state analysis (corresponding to events '11' and '13') as well as task-state analysis (corresponding to event '12'). 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