{"dataset":{"id":"219","dataset_id":"nm000187","name":"BigP3BCI Study N — 9x8 dry/wet electrode comparison (8 ALS subjects)","description":"This dataset comprises EEG recordings from 8 ALS patients participating in a P300-based brain-computer interface speller paradigm, comparing 9x8 dry and wet electrode configurations. Subjects completed 2 sessions each with visual stimulus presentation and target/non-target classification tasks. The data were acquired at 256 Hz using 16-channel g.USBamp systems and represent a subset of the larger BigP3BCI dataset, the most comprehensive public P300 BCI resource.","owner_user_id":19,"status":"active","github_repo":"nemarDatasets/nm000187","concept_doi":"10.82901/nemar.nm000187","latest_version_doi":"10.82901/nemar.nm000187.v1.0.3","created_at":"2026-03-23 23:01:52","updated_at":"2026-08-18 18:16:26","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"BigP3BCI Study N — 9x8 dry/wet electrode comparison (8 ALS subjects)\",\n  \"description\": \"This dataset comprises EEG recordings from 8 ALS patients participating in a P300-based brain-computer interface speller paradigm, comparing 9x8 dry and wet electrode configurations. Subjects completed 2 sessions each with visual stimulus presentation and target/non-target classification tasks. The data were acquired at 256 Hz using 16-channel g.USBamp systems and represent a subset of the larger BigP3BCI dataset, the most comprehensive public P300 BCI resource.\",\n  \"methods_description\": \"EEG data were acquired using g.USBamp hardware (g.tec) with 16 channels at 256 Hz sampling rate using standard 10-20 montage. Subjects performed a P300 speller task with 9x8 character grids and visual stimulus presentation. Each subject completed 2 sessions with target and non-target event classifications. Line frequency was 60 Hz. 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East Tennessee State University\n- **Country**: US\n- **Repository**: PhysioNet\n- **Data URL**: https://physionet.org/content/bigp3bci/1.0.0/\n- **Publication year**: 2025\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. 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