{"success":true,"database":"eegdash","data":{"_id":"69de3cac897a7725c66ff15c","dataset_id":"nm000157","associated_paper_doi":null,"authors":["Boyla Mainsah","Chance Fleeting","Thomas Balmat","Eric Sellers","Leslie Collins"],"bids_version":"1.9.0","canonical_name":null,"contact_info":null,"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.13026/0byy-ry86","datatypes":["eeg"],"demographics":{"subjects_count":19,"ages":[],"age_min":null,"age_max":null,"age_mean":null,"species":null,"sex_distribution":null,"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://nemar.org/dataexplorer/detail/nm000157","osf_url":null,"github_url":null,"paper_url":null},"funding":[],"ingestion_fingerprint":"2ffb403d634369cb2b107e1d7bf11479db119e3ab62558d9abfa9af704c09060","license":"CC-BY-4.0","n_contributing_labs":null,"name":"Mainsah2025-B","readme":"Mainsah2025-B\n=============\nBigP3BCI Study B — 6x6 checkerboard, multi-session (19 healthy subjects).\nDataset Overview\n----------------\n  Code: Mainsah2025-B\n  Paradigm: p300\n  DOI: 10.13026/0byy-ry86\n  Subjects: 19\n  Sessions per subject: 8\n  Events: Target=2, NonTarget=1\n  Trial interval: [0, 1.0] s\nAcquisition\n-----------\n  Sampling rate: 256.0 Hz\n  Number of channels: 16\n  Channel types: eeg=16\n  Montage: standard_1020\n  Hardware: g.USBamp (g.tec)\n  Line frequency: 60.0 Hz\nParticipants\n------------\n  Number of subjects: 19\n  Health status: patients\n  Clinical population: ALS\nExperimental Protocol\n---------------------\n  Paradigm: p300\n  Number of classes: 2\n  Class labels: Target, NonTarget\nHED Event Annotations\n---------------------\n  Schema: HED 8.4.0 | Browse: https://www.hedtags.org/hed-schema-browser\n  Target\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Target\n  NonTarget\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Non-target\nParadigm-Specific Parameters\n----------------------------\n  Detected paradigm: p300\nSignal Processing\n-----------------\n  Feature extraction: P300_ERP_detection\nCross-Validation\n----------------\n  Method: calibration-then-test\n  Evaluation type: within_subject\nBCI Application\n---------------\n  Applications: speller\n  Environment: laboratory\n  Online feedback: True\nTags\n----\n  Modality: visual\n  Type: perception\nDocumentation\n-------------\n  Description: BigP3BCI: the largest public P300 BCI dataset, containing EEG recordings from ~267 subjects across 20 studies using 6x6 or 9x8 character grids with various stimulus paradigms.\n  DOI: 10.13026/0byy-ry86\n  License: CC-BY-4.0\n  Investigators: Boyla Mainsah, Chance Fleeting, Thomas Balmat, Eric Sellers, Leslie Collins\n  Institution: Duke University; 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\nReferences\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\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---\nGenerated by MOABB 1.5.0 (Mother of All BCI Benchmarks)\nhttps://github.com/NeuroTechX/moabb","recording_modality":["eeg"],"senior_author":null,"sessions":["0","1","2","3","4","5","6","7"],"size_bytes":1302468653,"source":"nemar","storage":{"backend":"nemar","base":"s3://nemar/nm000157","raw_key":"dataset_description.json","dep_keys":["README","participants.json","participants.tsv"]},"study_design":null,"study_domain":null,"tasks":["p300"],"timestamps":{"digested_at":"2026-04-30T14:08:43.317690+00:00","dataset_created_at":null,"dataset_modified_at":"2026-04-14T12:36:44Z"},"total_files":544,"computed_title":"Mainsah2025-B","nchans_counts":[{"val":16,"count":543}],"sfreq_counts":[{"val":256.00008099666394,"count":205},{"val":256.00004960640416,"count":161},{"val":256.00006152923214,"count":98},{"val":256.0,"count":42},{"val":256.0000879536484,"count":15},{"val":256.00010844590247,"count":10},{"val":256.00004522469607,"count":3},{"val":256.0001184842897,"count":2},{"val":256.00012796007644,"count":2},{"val":256.00007397509813,"count":2},{"val":256.00011633064076,"count":2},{"val":256.00008239793436,"count":1}],"stats_computed_at":"2026-05-01T13:49:34.659897+00:00","total_duration_s":103167.85386361249,"author_year":"Mainsah2025"}}