{"dataset":{"id":"49854","dataset_id":"nm000269","name":"BigP3BCI Study A — P300 BCI EEG dataset (13 healthy subjects, Mainsah et al. 2025)","description":"BigP3BCI Study A is a derivative P300 brain-computer interface dataset containing 32-channel EEG recordings from 13 healthy subjects performing a visual speller task using a 6×6 checkerboard stimulus paradigm. The dataset comprises EEG data sampled at 256 Hz with binary classification of target and non-target events, annotated using HED 8.4.0 schema and processed through the MOABB framework.","owner_user_id":19,"status":"active","github_repo":"nemarDatasets/nm000269","concept_doi":"10.82901/nemar.nm000269","latest_version_doi":"10.82901/nemar.nm000269.v1.0.3","created_at":"2026-06-20 18:41:09","updated_at":"2026-08-18 18:19:22","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 A — P300 BCI EEG dataset (13 healthy subjects, Mainsah et al. 2025)\",\n  \"description\": \"BigP3BCI Study A is a derivative P300 brain-computer interface dataset containing 32-channel EEG recordings from 13 healthy subjects performing a visual speller task using a 6×6 checkerboard stimulus paradigm. The dataset comprises EEG data sampled at 256 Hz with binary classification of target and non-target events, annotated using HED 8.4.0 schema and processed through the MOABB framework.\",\n  \"methods_description\": \"EEG data were acquired using a g.USBamp amplifier (g.tec) with 32 channels in a standard 10-20 montage, sampled at 256 Hz with 60 Hz line frequency notch filtering. Subjects performed a visual P300 speller task using a 6×6 checkerboard stimulus paradigm with row-column and random presentation modes. Trial intervals were defined from 0 to 1.0 seconds post-stimulus.\",\n  \"license\": \"CC-BY-4.0\",\n  \"dataset_type\": \"derivative\",\n  \"authors\": {\n    \"Boyla Mainsah\": {},\n    \"Chance Fleeting\": {\n      \"orcid\": \"0000-0002-6271-4952\",\n      \"affiliations\": [\n        {\n          \"name\": \"Duke University\"\n        }\n      ]\n    },\n    \"Thomas Balmat\": {},\n    \"Eric Sellers\": {},\n    \"Leslie Collins\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"P300\"\n    },\n    {\n      \"term\": \"Brain-Computer Interfaces\",\n      \"subject_scheme\": \"MeSH\",\n      \"scheme_uri\": \"https://id.nlm.nih.gov/mesh/\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D062207\"\n    },\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"Visual Perception\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D014796\"\n    },\n    {\n      \"term\": \"speller paradigm\"\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  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.13026/0byy-ry86\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/nm000269\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.21105/joss.01896\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.1038/s41597-019-0104-8\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/nm000269\",\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    \"4.1 GB (780 files)\"\n  ],\n  \"formats\": [\n    \".edf\",\n    \".json\",\n    \".md\",\n    \".tsv\",\n    \".yaml\",\n    \".yml\"\n  ],\n  \"source_hash\": \"e64196d5fc9bebe4a0a70c5903f8bc84030525bd072dcca5d4f6c7a4238415ba\"\n}","last_activity_at":"2026-08-16 13:37:56","source":null,"source_id":null,"subject_count":13,"modalities":"eeg","age_min":0,"age_max":0,"file_size":4144672486,"total_files":2800,"tasks":"p300","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Boyla Mainsah, Chance Fleeting, Thomas Balmat, Eric Sellers, Leslie Collins","license":"CC-BY-4.0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000269-blue)](https://doi.org/10.82901/nemar.nm000269)\n\n# BigP3BCI Study A — P300 BCI EEG dataset (13 healthy subjects, Mainsah et al. 2025)\n\n## Overview\n\nMainsah2025-A is a derivative P300 brain-computer interface dataset containing EEG recordings from 13 healthy subjects (1 session each) performing a visual speller task using a 6x6 checkerboard stimulus paradigm. The dataset comprises 32-channel EEG data sampled at 256 Hz with binary classification of target and non-target events, annotated using HED 8.4.0 schema. This dataset represents Study A of the BigP3BCI collection (10.13026/0byy-ry86), the largest public P300 BCI dataset, and is processed using the MOABB (Mother of All BCI Benchmarks) framework.\n\n## Dataset Summary\n\n| Property | Value |\n|---|---|\n| Subjects | 13 |\n| Channels | 32 |\n| Classes | 2 |\n| Trial length | 1 s |\n| Sampling frequency | 256 Hz |\n| Sessions | 1 |\n\n| Paradigm | P300 |\n\n## Data Collection Methods\n\nEEG data were acquired using a g.USBamp amplifier (g.tec) with 32 channels arranged in a standard 10-20 montage, sampled at 256 Hz with a 60 Hz line frequency notch. Subjects performed a visual P300 speller task using a 6x6 checkerboard stimulus paradigm with row-column and random presentation modes. Trial intervals were defined from 0 to 1.0 seconds post-stimulus, with binary classification of target and non-target events.\n\n## How to Access via MOABB\n\nInstall MOABB and load this dataset directly:\n\n```python\nfrom moabb.datasets import Mainsah2025_A\nfrom moabb.paradigms import P300\nparadigm = P300()\n\ndataset = Mainsah2025_A()\nX, y, metadata = paradigm.get_data(dataset)\n```\n\nFor more details see the [MOABB documentation](https://moabb.neurotechx.com/) and the\n[MOABB dataset page](https://moabb.neurotechx.com/docs/generated/moabb.datasets.Mainsah2025_A.html).\n\n## Citation\n\nIf you use this dataset please cite the primary publication:\n\n> DOI: [10.13026/0byy-ry86](https://doi.org/10.13026/0byy-ry86)\n\n## NEMAR / MOABB Benchmark Collection\n\nThis BIDS-formatted dataset was converted from the original data using the\n[MOABB](https://moabb.neurotechx.com/) pipeline and re-hosted on\n[NEMAR](https://nemar.org/) as part of the MOABB benchmark collection.\nThe original data and license terms apply — see `dataset_description.json` for details.\n","bids_version":"1.9.0","sessions_count":1,"publish_date":null,"embedding_dirty":0,"license_tier":"attribution","zarr_status":"ready","zarr_converted_at":"2026-08-22 07:35:43","zarr_store_count":389,"zarr_index_etag":"a660c83a5e47324e18c6a7caad7acdbd","zarr_source_commit":"bc4b0a506b355ae82efd5d07d08f889facb15e2a","archive_status":"ready","archive_size":1636157767,"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":0,"n_channels":32,"electrode_system":"10-10","has_hed":1,"hed_version":"8.4.0","is_exemplar":0,"bytes_present":4129421832,"data_complete":1,"withdrawn_at":null,"withdrawn_reason":null,"archive_complete":1,"archive_absent_files":0,"archive_declared_files":2800,"zarr_pool_breaks":null,"total_recording_duration":54626,"recording_duration_min":136,"recording_duration_max":156,"recording_count":389,"recordings_unavailable":0,"recordings_measured":389,"channel_count_min":32,"channel_count_max":32,"sampling_frequency":256.0000930697907,"power_line_frequency":60,"eeg_reference":null,"placement_scheme":"10-20 system","sweep_stamps":"{\"enrichment_updated_at\":\"2026-08-18 18:15:56\",\"metadata_updated_at\":\"2026-08-18 18:19:20\",\"archive_checked_at\":\"2026-08-18 18:25:16\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-08-18 18:23:50\",\"citations_updated_at\":\"2026-08-17 03:01:00\",\"channel_montage_checked_at\":\"2026-06-28 23:02:37\",\"hed_checked_at\":\"2026-06-30 04:32:49\",\"data_checked_at\":null,\"availability_report_at\":\"2026-08-22 03:01:25\",\"recording_stats_at\":\"2026-09-02 11:32:07\",\"signal_defaults_at\":\"2026-09-02 11:50:29\"}","participants":13,"num_citations":0,"latest_version":"v1.0.3","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"bruaristimunha","owner_github":"bruAristimunha","file_size_formatted":"3.86 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/nm000269/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}}