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Data were organized into BIDS format for public sharing and analysis.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Mengpu Cai\": {},\n    \"Rongrong Fu\": {},\n    \"Yaodong Wang\": {},\n    \"Bin Lu\": {},\n    \"Saiwei Guo\": {},\n    \"Fangyao Xu\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"Electroencephalography\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D004569\"\n    },\n    {\n      \"term\": \"hand kinematics\"\n    },\n    {\n      \"term\": \"intention-action conflict\"\n    },\n    {\n      \"term\": \"motor control\"\n    },\n    {\n      \"term\": \"BIDS\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.18112/openneuro.ds006840.v1.0.0\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on006840\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/on006840\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.21105/joss.01896\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"10.1038/s41597-019-0104-8\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"N/A\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"7.9 GB (809 files)\"\n  ],\n  \"formats\": [\n    \".eeg\",\n    \".json\",\n    \".mat\",\n    \".md\",\n    \".tsv\",\n    \".vhdr\",\n    \".vmrk\",\n    \".yml\"\n  ],\n  \"methods_description\": \"EEG data were recorded and converted to BIDS format using MNE and mne-bids, with task stimuli presented via PsychoPy (version 2023.2). Data processing was conducted in Python 3.10.\",\n  \"source_hash\": \"dff6c3f5fd87840bd38dcce0380c49610665d828c9890b83ee1d38e249ee1926\"\n}","last_activity_at":"2026-06-29 13:01:46","source":"openneuro","source_id":"ds006840","subject_count":15,"modalities":"eeg","age_min":null,"age_max":null,"file_size":7966800179,"total_files":1680,"tasks":"ihc","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Mengpu Cai, Rongrong Fu, Yaodong Wang, Bin Lu, Saiwei Guo, Fangyao Xu","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006840-blue)](https://doi.org/10.82901/nemar.on006840)\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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