{"dataset":{"id":"256","dataset_id":"nm000223","name":"Electric light control experiment (15 subjects, 4 classes, 31 EEG ch)","description":"This dataset comprises EEG recordings from 15 healthy subjects performing a P300-based brain-computer interface task for home appliance control. The experiment employed a visual oddball paradigm with 31-channel EEG acquisition at 500 Hz, yielding target and non-target event classifications across 50 training and 30 testing trials per subject. The data supports the development and benchmarking of P300-based BCI systems for practical applications in smart home environments.","owner_user_id":19,"status":"active","github_repo":"nemarDatasets/nm000223","concept_doi":"10.82901/nemar.nm000223","latest_version_doi":"10.82901/nemar.nm000223.v1.0.3","created_at":"2026-03-25 15:27:18","updated_at":"2026-08-18 21:17:48","zenodo_concept_id":"20519280","is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"enriched\",\n  \"title\": \"Electric light control experiment (15 subjects, 4 classes, 31 EEG ch)\",\n  \"description\": \"This dataset comprises EEG recordings from 15 healthy subjects performing a P300-based brain-computer interface task for home appliance control. The experiment employed a visual oddball paradigm with 31-channel EEG acquisition at 500 Hz, yielding target and non-target event classifications across 50 training and 30 testing trials per subject. The data supports the development and benchmarking of P300-based BCI systems for practical applications in smart home environments.\",\n  \"methods_description\": \"EEG data were acquired using a 31-channel actiCHamp system (Brain Products) at 500 Hz sampling rate with linked mastoid reference and active sensors. The standard 10-20 electrode montage was employed. Subjects performed a visual oddball task with flash stimuli presented on an LCD display at 750 ms stimulus onset asynchrony, with trial duration of 1.0 s. Visual feedback was provided during online BCI operation.\",\n  \"license\": \"CC-BY-4.0\",\n  \"dataset_type\": \"derivative\",\n  \"authors\": {\n    \"Jongmin Lee\": {},\n    \"Minju Kim\": {},\n    \"Dojin Heo\": {},\n    \"Jongsu Kim\": {},\n    \"Min-Ki Kim\": {},\n    \"Taejun Lee\": {},\n    \"Jongwoo Park\": {},\n    \"HyunYoung Kim\": {},\n    \"Minho Hwang\": {},\n    \"Laehyun Kim\": {},\n    \"Sung-Phil Kim\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"P300\"\n    },\n    {\n      \"term\": \"brain-computer interface\"\n    },\n    {\n      \"term\": \"Event-Related Potentials, P300\",\n      \"subject_scheme\": \"MeSH\",\n      \"scheme_uri\": \"https://id.nlm.nih.gov/mesh/\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D018913\"\n    },\n    {\n      \"term\": \"oddball paradigm\"\n    },\n    {\n      \"term\": \"home appliance control\"\n    },\n    {\n      \"term\": \"ERP\"\n    },\n    {\n      \"term\": \"healthy\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.3389/fnhum.2024.1320457\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/nm000223\",\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      \"identifier\": \"https://nemar.org/dataset/nm000223\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"1.3 GB (947 files)\"\n  ],\n  \"formats\": [\n    \".bdf\",\n    \".json\",\n    \".mat\",\n    \".md\",\n    \".tsv\",\n    \".yaml\",\n    \".yml\"\n  ],\n  \"source_hash\": \"a81ea257f800eea03a97f81cfbb6d309b5c9ae9bf4df5107d761a7cd5a59b015\"\n}","last_activity_at":"2026-08-16 13:34:31","source":null,"source_id":null,"subject_count":15,"modalities":"eeg","age_min":22.13,"age_max":22.13,"file_size":1313137658,"total_files":3357,"tasks":"p300","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Jongmin Lee, Minju Kim, Dojin Heo, Jongsu Kim, Min-Ki Kim, Taejun Lee, Jongwoo Park, HyunYoung Kim, Minho Hwang, Laehyun Kim, Sung-Phil Kim","license":"CC-BY-4.0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000223-blue)](https://doi.org/10.82901/nemar.nm000223)\n\n# Electric light control experiment (15 subjects, 4 classes, 31 EEG ch)\n\nElectric light control experiment (15 subjects, 4 classes, 31 EEG ch).\n\n## Dataset Overview\n\n- **Code**: Lee2024-EL\n- **Paradigm**: p300\n- **DOI**: 10.3389/fnhum.2024.1320457\n- **Subjects**: 15\n- **Sessions per subject**: 1\n- **Events**: Target=2, NonTarget=1\n- **Trial interval**: [0, 1] s\n- **File format**: MATLAB\n\n## Acquisition\n\n- **Sampling rate**: 500.0 Hz\n- **Number of channels**: 31\n- **Channel types**: eeg=31\n- **Channel names**: Fp1, Fpz, Fp2, F7, F3, Fz, F4, F8, FT9, FC5, FC1, FC2, FC6, FT10, T7, C3, Cz, C4, T8, CP5, CP1, CP2, CP6, P7, P3, Pz, P4, P8, O1, Oz, O2\n- **Montage**: standard_1020\n- **Hardware**: actiCHamp (Brain Products)\n- **Reference**: linked mastoids\n- **Sensor type**: active\n- **Line frequency**: 60.0 Hz\n\n## Participants\n\n- **Number of subjects**: 15\n- **Health status**: healthy\n- **Age**: mean=22.13, std=2.2\n- **Gender distribution**: male=10, female=5\n- **Species**: human\n\n## Experimental Protocol\n\n- **Paradigm**: p300\n- **Number of classes**: 2\n- **Class labels**: Target, NonTarget\n- **Trial duration**: 1.0 s\n- **Study design**: P300 BCI for EL home appliance control; 4-class oddball; LCD display\n- **Feedback type**: visual\n- **Stimulus type**: flash\n- **Stimulus modalities**: visual\n- **Primary modality**: visual\n- **Mode**: online\n\n## HED Event Annotations\n\nSchema: HED 8.4.0 | Browse: https://www.hedtags.org/hed-schema-browser\n\n```\n  Target\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Target\n\n  NonTarget\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Non-target\n\n```\n## Paradigm-Specific Parameters\n\n- **Detected paradigm**: p300\n- **Stimulus onset asynchrony**: 750.0 ms\n\n## Data Structure\n\n- **Trials**: 50 training + 30 testing blocks per subject\n- **Trials context**: per_subject\n\n## BCI Application\n\n- **Applications**: home_appliance_control\n- **Environment**: laboratory\n- **Online feedback**: True\n\n## Tags\n\n- **Pathology**: Healthy\n- **Modality**: ERP\n- **Type**: P300\n\n## Documentation\n\n- **DOI**: 10.3389/fnhum.2024.1320457\n- **License**: CC-BY-4.0\n- **Investigators**: Jongmin Lee, Minju Kim, Dojin Heo, Jongsu Kim, Min-Ki Kim, Taejun Lee, Jongwoo Park, HyunYoung Kim, Minho Hwang, Laehyun Kim, Sung-Phil Kim\n- **Institution**: Ulsan National Institute of Science and Technology\n- **Country**: KR\n- **Data URL**: https://github.com/jml226/Home-Appliance-Control-Dataset\n- **Publication year**: 2024\n\n## References\n\nAppelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Hochenberger, 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. Scientific Data, 6, 103. https://doi.org/10.1038/s41597-019-0104-8\n\n---\nGenerated by MOABB 1.5.0 (Mother of All BCI Benchmarks)\nhttps://github.com/NeuroTechX/moabb\n","bids_version":"1.9.0","sessions_count":1,"publish_date":"2026-03-25 15:27:18","embedding_dirty":0,"license_tier":"attribution","zarr_status":"ready","zarr_converted_at":"2026-09-04 10:07:40","zarr_store_count":465,"zarr_index_etag":"936c5fe9437340c9553318b154c18ae0","zarr_source_commit":"cfa9e96dc5f845ce9c88460d3d880bb81269ab7e","archive_status":"ready","archive_size":1209208161,"archive_retry_count":0,"records_status":"ready","archive_skip_reason":null,"zarr_errors":0,"zarr_failure_count":0,"zarr_deterministic":0,"zarr_failed_at":null,"num_dataset_citations":0,"num_datapaper_citations":8,"n_channels":31,"electrode_system":"10-10","has_hed":1,"hed_version":"8.4.0","is_exemplar":0,"bytes_present":1309676474,"data_complete":1,"withdrawn_at":null,"withdrawn_reason":null,"archive_complete":1,"archive_absent_files":0,"archive_declared_files":3357,"zarr_pool_breaks":0,"total_recording_duration":14026,"recording_duration_min":9,"recording_duration_max":602,"recording_count":465,"recordings_unavailable":0,"recordings_measured":465,"channel_count_min":31,"channel_count_max":31,"sampling_frequency":500,"power_line_frequency":60,"eeg_reference":"linked mastoids","placement_scheme":"10-20 system","sweep_stamps":"{\"enrichment_updated_at\":\"2026-08-18 18:14:36\",\"metadata_updated_at\":\"2026-08-18 21:17:47\",\"archive_checked_at\":\"2026-08-18 21:20:02\",\"zarr_checked_at\":\"2026-06-07 17:58:32\",\"records_checked_at\":\"2026-08-18 21:18:49\",\"citations_updated_at\":\"2026-09-08 03:00:50\",\"channel_montage_checked_at\":\"2026-06-28 22:58:39\",\"hed_checked_at\":\"2026-06-30 07:30:44\",\"data_checked_at\":null,\"availability_report_at\":\"2026-08-21 03:01:13\",\"signal_defaults_at\":\"2026-09-02 11:45:52\",\"recording_stats_at\":\"2026-09-05 03:01:37\"}","participants":15,"num_citations":8,"latest_version":"v1.0.3","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"bruaristimunha","owner_github":"bruAristimunha","file_size_formatted":"1.22 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/nm000223/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}}