{"dataset":{"id":"61102","dataset_id":"on005520","name":"Research data supporting 'EEG recording during playing MOBA game'","description":"This dataset comprises electroencephalography (EEG) recordings from 23 participants during resting state (eyes closed and open) and active gameplay in a multiplayer online battle arena (MOBA) game. The study captures neural activity associated with gaming performance, including event markers for in-game actions such as kills, deaths, and match outcomes. Data were collected between April and July 2023 using a 64-channel Neuroscan system.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on005520","concept_doi":"10.82901/nemar.on005520","latest_version_doi":"10.82901/nemar.on005520.v1.0.0","created_at":"2026-06-27 06:31:44","updated_at":"2026-08-19 01:32:49","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"Research data supporting 'EEG recording during playing MOBA game'\",\n  \"description\": \"This dataset comprises electroencephalography (EEG) recordings from 23 participants during resting state (eyes closed and open) and active gameplay in a multiplayer online battle arena (MOBA) game. The study captures neural activity associated with gaming performance, including event markers for in-game actions such as kills, deaths, and match outcomes. Data were collected between April and July 2023 using a 64-channel Neuroscan system.\",\n  \"methods_description\": \"EEG data were acquired using a Neuroscan system with 64 electrodes at a sampling frequency of 1000 Hz. Recordings included resting state conditions (eyes closed and eyes open) and continuous EEG during MOBA gameplay. Event markers were coded to identify specific in-game events: kills (13), deaths (14), game start (66), game failure (444), and game victory (666).\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Hong-Zhi Li\": {},\n    \"Jia-Jia Yang\": {},\n    \"Zhen Lv\": {},\n    \"Li-Yang Wan\": {},\n    \"Wo Wang\": {},\n    \"Da-Qi Li\": {},\n    \"Dong-Dong Zhou\": {},\n    \"Li Kuang\": {}\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\": \"EEG\"\n    },\n    {\n      \"term\": \"Event-related potentials\"\n    },\n    {\n      \"term\": \"MOBA game\"\n    },\n    {\n      \"term\": \"Gaming\"\n    },\n    {\n      \"term\": \"Resting state\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on005520\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataexplorer/detail?dataset_id=on005520\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds005520\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsVersionOf\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds005520.v1.0.1\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"This work was supported by a grant from the Chongqing Medical Youth Top Talent Project in Chongqing Municipal Health Commission (DDZ).\"\n    },\n    {\n      \"funder_name\": \"Chongqing Municipal Health Commission\",\n      \"award_title\": \"Chongqing Medical Youth Top Talent Project\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"296.3 GB (439 files)\"\n  ],\n  \"formats\": [\n    \".avi\",\n    \".csv\",\n    \".eeg\",\n    \".fdt\",\n    \".json\",\n    \".m\",\n    \".mat\",\n    \".md\",\n    \".set\",\n    \".tsv\",\n    \".txt\",\n    \".vhdr\",\n    \".vmrk\",\n    \".xlsx\",\n    \".yml\"\n  ],\n  \"source_hash\": \"e61eec403897d0c33b6ec0a277e3214b1d3d16617da774c804efa301905d9a1c\"\n}","last_activity_at":"2026-06-27 06:31:44","source":"openneuro","source_id":"ds005520","subject_count":23,"modalities":"eeg","age_min":15,"age_max":23,"file_size":296326430761,"total_files":633,"tasks":"MOBAgame,restingeyeclosed,restingeyeopen","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Hong-Zhi Li, Jia-Jia Yang, Zhen Lv, Li-Yang Wan, Wo Wang, Da-Qi Li, Dong-Dong Zhou, Li Kuang","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005520-blue)](https://doi.org/10.82901/nemar.on005520)\n\n#  General information\n\nThis dataset contains resting(eyes closed, eyes open) and EEG recordings during playing real MOBA game with 23 participants.\n\n#    Dataset \n\n##   Presentation\n\n     The data collection was initiated in April 2023 and was terminated in July 2023. The detailed description of the dataset is currently under working by Hong-Zhi Li and Dong-Dong Zhou, and will submit to Scientific Data for publication.\n     \n    \n\n#### EEG acquisition\n\n     * EEG system (Neuroscan, 64 electrodes) \n     * Sampling frequency: 1000Hz\n\n#### event type\n\n      * 13 indicates a kill during playing game\n      * 14 indicates a death during playing game\n      * 66 indicates game start\n      * 444 indicates game failure\n      * 666 indicates game victory\n\n\n## Contact\n     * If you have any questions or comments, please contact: \n     * Dong-Dong Zhou: zhoudongdong@cqmu.edu.cn","bids_version":"1.2","sessions_count":null,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-08-15 06:25:17","zarr_store_count":92,"zarr_index_etag":"8eff1a0e5e061441ebae8aa7cae86d1a","zarr_source_commit":"89e76983cd29c849bf0ec84e9bdc2482cce05145","archive_status":null,"archive_size":null,"archive_retry_count":0,"records_status":"ready","archive_skip_reason":"dataset 276.0 GB exceeds 100.0 GB archive limit; use direct download","zarr_errors":69,"zarr_failure_count":67,"zarr_deterministic":0,"zarr_failed_at":"2026-08-15 06:25:17","num_dataset_citations":0,"num_datapaper_citations":0,"n_channels":66,"electrode_system":"10-10","has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":296326220938,"data_complete":1,"withdrawn_at":null,"withdrawn_reason":null,"archive_complete":null,"archive_absent_files":null,"archive_declared_files":null,"zarr_pool_breaks":null,"total_recording_duration":150650.276,"recording_duration_min":5.996,"recording_duration_max":9189.308,"recording_count":159,"recordings_unavailable":67,"recordings_measured":92,"channel_count_min":60,"channel_count_max":60,"sampling_frequency":1000,"power_line_frequency":50,"eeg_reference":"ref","placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-06-27 06:48:45\",\"metadata_updated_at\":\"2026-08-19 01:32:48\",\"archive_checked_at\":\"2026-06-27 06:49:38\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-27 06:50:09\",\"citations_updated_at\":null,\"channel_montage_checked_at\":\"2026-06-28 23:47:35\",\"hed_checked_at\":\"2026-06-30 05:20:46\",\"data_checked_at\":\"2026-08-22 03:00:33\",\"availability_report_at\":\"2026-07-23 01:25:26\",\"recording_stats_at\":\"2026-09-02 11:33:24\",\"signal_defaults_at\":\"2026-09-02 12:37:33\"}","participants":23,"num_citations":0,"latest_version":"v1.0.0","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"nemarAdmin","owner_github":"nemarAdmin","file_size_formatted":"276 GB","zarr_data_failures":{"count":67,"detail_ref":"zarr/index.json","compacted_by":"migration_0074"},"zarr_index_url":"https://zarr.nemar.org/on005520/zarr/index.json","attestation_deposit_type":null,"attestation_key_status":null,"attestation_deidentified":null,"attestation_no_duplicate":null,"attestation_upstream_source":null,"attestation_accepted_at":null}}