{"dataset":{"id":"244","dataset_id":"nm000211","name":"RSVP ERP dataset for authentication from Zhang et al 2025","description":"A longitudinal EEG dataset comprising event-related potentials (ERPs) from 15 healthy participants performing a rapid serial visual presentation (RSVP) face authentication task. The dataset includes 4 sessions per subject collected over 200 days, with 57-channel EEG recordings at 1000 Hz sampling rate. Participants discriminated between self-face and AI-generated faces in a p300-based identity authentication paradigm, yielding approximately 160 target and 6240 non-target trials per session. This derivative dataset was generated from raw EEG data using MOABB 1.5.0 and is organized in BIDS format.","owner_user_id":19,"status":"active","github_repo":"nemarDatasets/nm000211","concept_doi":"10.82901/nemar.nm000211","latest_version_doi":"10.82901/nemar.nm000211.v1.0.2","created_at":"2026-03-24 04:07:54","updated_at":"2026-08-18 21:14:08","zenodo_concept_id":"20482000","is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"enriched\",\n  \"title\": \"RSVP ERP dataset for authentication from Zhang et al 2025\",\n  \"description\": \"A longitudinal EEG dataset comprising event-related potentials (ERPs) from 15 healthy participants performing a rapid serial visual presentation (RSVP) face authentication task. The dataset includes 4 sessions per subject collected over 200 days, with 57-channel EEG recordings at 1000 Hz sampling rate. Participants discriminated between self-face and AI-generated faces in a p300-based identity authentication paradigm, yielding approximately 160 target and 6240 non-target trials per session. This derivative dataset was generated from raw EEG data using MOABB 1.5.0 and is organized in BIDS format.\",\n  \"methods_description\": \"EEG data were acquired using a Neuracle Neusen system with 57 electrodes in a standard 10-20 montage (reference: CPz, ground: AFz). Participants performed an RSVP face authentication task with visual stimulus presentation at 100 ms stimulus onset asynchrony. The experimental protocol consisted of 4 sessions over 200 days, with each session containing 4 blocks of 8 sequences presenting 200 face images. Data were sampled at 1000 Hz with a 50 Hz line frequency. Raw EEG data were processed and organized into BIDS-compliant derivative format using MOABB 1.5.0 (Mother of All BCI Benchmarks).\",\n  \"license\": \"CC-BY-NC-ND-4.0\",\n  \"dataset_type\": \"derivative\",\n  \"authors\": {\n    \"Yufeng Zhang\": {},\n    \"Hongxin Zhang\": {},\n    \"Yixuan Li\": {},\n    \"Yijun Wang\": {\n      \"orcid\": \"0000-0002-8161-2150\"\n    },\n    \"Xiaorong Gao\": {},\n    \"Chen Yang\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"event-related potentials\"\n    },\n    {\n      \"term\": \"p300\"\n    },\n    {\n      \"term\": \"RSVP\"\n    },\n    {\n      \"term\": \"identity authentication\"\n    },\n    {\n      \"term\": \"target detection\"\n    },\n    {\n      \"term\": \"longitudinal study\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.1038/s41597-025-05378-x\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/nm000211\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/nm000211\",\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    \"61.2 GB (256 files)\"\n  ],\n  \"formats\": [\n    \".bdf\",\n    \".json\",\n    \".mat\",\n    \".md\",\n    \".tsv\",\n    \".yaml\",\n    \".yml\"\n  ],\n  \"source_hash\": \"44235b2c88f0057b3502df8228ef99af44beb7302ff8f24448d325e7feaa1f49\"\n}","last_activity_at":"2026-08-16 13:31:36","source":null,"source_id":null,"subject_count":15,"modalities":"eeg","age_min":null,"age_max":null,"file_size":61221291544,"total_files":1766,"tasks":"p300","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Yufeng Zhang, Hongxin Zhang, Yixuan Li, Yijun Wang, Xiaorong Gao, Chen Yang","license":"CC-BY-NC-ND-4.0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000211-blue)](https://doi.org/10.82901/nemar.nm000211)\n\n# RSVP ERP dataset for authentication from Zhang et al 2025\n\nRSVP ERP dataset for authentication from Zhang et al 2025.\n\n## Dataset Overview\n\n- **Code**: Zhang2025\n- **Paradigm**: p300\n- **DOI**: 10.1038/s41597-025-05378-x\n- **Subjects**: 15\n- **Sessions per subject**: 4\n- **Events**: Target=2, NonTarget=1\n- **Trial interval**: [0, 0.6] s\n- **Runs per session**: 4\n- **File format**: MATLAB (HDF5)\n\n## Acquisition\n\n- **Sampling rate**: 1000.0 Hz\n- **Number of channels**: 57\n- **Channel types**: eeg=57\n- **Channel names**: Fpz, Fp1, Fp2, AF3, AF4, AF7, AF8, Fz, F1, F2, F3, F4, F5, F6, F7, F8, FCz, FC1, FC2, FC3, FC4, FC5, FC6, FT7, FT8, Cz, C1, C2, C3, C4, C5, C6, T7, T8, CP1, CP2, CP3, CP4, CP5, CP6, TP7, TP8, Pz, P3, P4, P5, P6, P7, P8, POz, PO3, PO4, PO7, PO8, Oz, O1, O2\n- **Montage**: standard_1020\n- **Hardware**: Neuracle Neusen\n- **Reference**: CPz\n- **Ground**: AFz\n- **Line frequency**: 50.0 Hz\n\n## Participants\n\n- **Number of subjects**: 15\n- **Health status**: healthy\n- **Age**: min=22, max=26\n- **Gender distribution**: female=6, male=9\n- **Handedness**: all right-handed\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**: RSVP face authentication; self-face vs AI-generated faces; 4 sessions over 200 days (longitudinal)\n- **Feedback type**: none\n- **Stimulus type**: RSVP face images\n- **Stimulus modalities**: visual\n- **Primary modality**: visual\n- **Mode**: offline\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**: 100.0 ms\n\n## Data Structure\n\n- **Trials**: ~160 target + ~6240 nontarget per session\n- **Trials context**: per session (4 blocks x 8 sequences x 200 images)\n\n## Signal Processing\n\n- **Classifiers**: HDCA\n- **Feature extraction**: HDCA\n- **Frequency bands**: ERP_dominant=[0.0, 10.0] Hz\n\n## Cross-Validation\n\n- **Evaluation type**: within_subject\n\n## BCI Application\n\n- **Applications**: identity_authentication, target_detection\n- **Environment**: laboratory\n\n## Tags\n\n- **Pathology**: Healthy\n- **Modality**: ERP\n- **Type**: RSVP\n\n## Documentation\n\n- **DOI**: 10.1038/s41597-025-05378-x\n- **License**: CC-BY-NC-ND-4.0\n- **Investigators**: Yufeng Zhang, Hongxin Zhang, Yixuan Li, Yijun Wang, Xiaorong Gao, Chen Yang\n- **Institution**: Beijing University of Posts and Telecommunications\n- **Country**: CN\n- **Data URL**: https://figshare.com/articles/dataset/27201003\n- **Publication year**: 2025\n\n## References\n\nZhang, Y., Zhang, H., Li, Y., Wang, Y., Gao, X., & Yang, C. (2025). A longitudinal EEG dataset of event-related potential for EEG-based identity authentication. Scientific Data, 12, 1069. https://doi.org/10.1038/s41597-025-05378-x\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":4,"publish_date":"2026-06-01 01:35:24","embedding_dirty":0,"license_tier":"noderiv","zarr_status":"ready","zarr_converted_at":"2026-09-04 10:31:08","zarr_store_count":240,"zarr_index_etag":"bc3c580e33b864e1c2c0c84b632087f0","zarr_source_commit":"ad045adce7361b8fa1f63faf89c2fe275571b5b5","archive_status":"ready","archive_size":58526487718,"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":3,"n_channels":57,"electrode_system":"10-10","has_hed":1,"hed_version":"8.4.0","is_exemplar":0,"bytes_present":61208152558,"data_complete":1,"withdrawn_at":null,"withdrawn_reason":null,"archive_complete":1,"archive_absent_files":0,"archive_declared_files":1766,"zarr_pool_breaks":0,"total_recording_duration":54199,"recording_duration_min":203,"recording_duration_max":291,"recording_count":240,"recordings_unavailable":0,"recordings_measured":240,"channel_count_min":57,"channel_count_max":57,"sampling_frequency":1000,"power_line_frequency":50,"eeg_reference":"CPz","placement_scheme":"10-20 system","sweep_stamps":"{\"enrichment_updated_at\":\"2026-08-18 18:13:22\",\"metadata_updated_at\":\"2026-08-18 21:13:58\",\"archive_checked_at\":\"2026-08-18 21:49:15\",\"zarr_checked_at\":\"2026-06-07 17:58:31\",\"records_checked_at\":\"2026-08-18 21:15:35\",\"citations_updated_at\":\"2026-09-08 03:00:51\",\"channel_montage_checked_at\":\"2026-06-28 22:58:06\",\"hed_checked_at\":\"2026-06-30 07:29:14\",\"data_checked_at\":null,\"availability_report_at\":\"2026-08-21 03:00:32\",\"signal_defaults_at\":\"2026-09-02 11:44:38\",\"recording_stats_at\":\"2026-09-05 03:01:28\"}","participants":15,"num_citations":3,"latest_version":"v1.0.2","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"bruaristimunha","owner_github":"bruAristimunha","file_size_formatted":"57.02 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/nm000211/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}}