{"dataset":{"id":"343","dataset_id":"nm000310","name":"Guttmann-Flury et al. 2025 (SSVEP) — Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms","description":"A multimodal neuroimaging dataset combining EEG, eye-tracking, and high-speed video recordings from 31 healthy participants performing a 4-class steady-state visually evoked potential (SSVEP) brain-computer interface task. The dataset comprises 3,024 trials across 63 sessions with 66-channel recordings (64 EEG + 1 EOG + 1 stim) at 1000 Hz sampling rate, designed to investigate ocular activity patterns and their relationship to BCI performance across multiple paradigms.","owner_user_id":19,"status":"active","github_repo":"nemarDatasets/nm000310","concept_doi":"10.82901/nemar.nm000310","latest_version_doi":"10.82901/nemar.nm000310.v1.0.3","created_at":"2026-03-28 02:32:55","updated_at":"2026-08-18 18:18:35","zenodo_concept_id":"20524969","is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"enriched\",\n  \"title\": \"Guttmann-Flury et al. 2025 (SSVEP) — Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms\",\n  \"description\": \"A multimodal neuroimaging dataset combining EEG, eye-tracking, and high-speed video recordings from 31 healthy participants performing a 4-class steady-state visually evoked potential (SSVEP) brain-computer interface task. The dataset comprises 3,024 trials across 63 sessions with 66-channel recordings (64 EEG + 1 EOG + 1 stim) at 1000 Hz sampling rate, designed to investigate ocular activity patterns and their relationship to BCI performance across multiple paradigms.\",\n  \"methods_description\": \"EEG data were acquired using a 64-channel Neuroscan Quik-Cap with SynAmps2 amplifier at 1000 Hz sampling rate, referenced to the right mastoid with forehead ground. A total of 66 channels were recorded (64 EEG + 1 EOG + 1 stim). Participants performed a 4-class SSVEP task with flickering LED stimuli at frequencies of 10.0, 11.0, 12.0, and 13.0 Hz. Each session consisted of 48 trials with 7-second trial duration. Concurrent eye-tracking and high-speed video recordings were obtained to capture ocular activity during the task.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"derivative\",\n  \"authors\": {\n    \"Eva Guttmann-Flury\": {\n      \"orcid\": \"0000-0002-8241-1713\"\n    },\n    \"Xinjun Sheng\": {},\n    \"Xiangyang Zhu\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"SSVEP\"\n    },\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"brain-computer interface\"\n    },\n    {\n      \"term\": \"eye tracking\"\n    },\n    {\n      \"term\": \"visual evoked potentials\"\n    },\n    {\n      \"term\": \"multimodal neuroimaging\"\n    },\n    {\n      \"term\": \"healthy volunteers\"\n    },\n    {\n      \"term\": \"high-speed video\"\n    },\n    {\n      \"term\": \"ocular activity\"\n    },\n    {\n      \"term\": \"eye movement\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.1038/s41597-025-04861-9\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/nm000310\",\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/nm000310\",\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    \"30.7 GB (342 files)\"\n  ],\n  \"formats\": [\n    \".avi\",\n    \".bdf\",\n    \".csv\",\n    \".json\",\n    \".md\",\n    \".tsv\",\n    \".txt\",\n    \".xlsx\",\n    \".xml\",\n    \".yaml\",\n    \".yml\"\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"Not funded\"\n    }\n  ],\n  \"source_hash\": \"83a77701ed5fe6a2c462d1f04cddce57252a64e619ca7de8273a335cc0e10d49\"\n}","last_activity_at":"2026-08-16 13:38:58","source":null,"source_id":null,"subject_count":11,"modalities":"eeg","age_min":28.3,"age_max":28.3,"file_size":30750782492,"total_files":801,"tasks":"ssvep","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Eva Guttmann-Flury, Xinjun Sheng, Xiangyang Zhu","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000310-blue)](https://doi.org/10.82901/nemar.nm000310)\n\nGuttmannFlury2025-SSVEP\n=======================\n\nEye-BCI multimodal SSVEP dataset from Guttmann-Flury et al 2025.\n\nDataset Overview\n----------------\n  Code: GuttmannFlury2025-SSVEP\n  Paradigm: ssvep\n  DOI: 10.1038/s41597-025-04861-9\n  Subjects: 31\n  Sessions per subject: 3\n  Events: 10.0=1, 11.0=2, 12.0=3, 13.0=4\n  Trial interval: [0, 5] s\n  File format: BDF\n\nAcquisition\n-----------\n  Sampling rate: 1000.0 Hz\n  Number of channels: 66\n  Channel types: eeg=64, eog=1, stim=1\n  Channel names: FP1, FPZ, FP2, AF3, AF4, F7, F5, F3, F1, FZ, F2, F4, F6, F8, FT7, FC5, FC3, FC1, FCZ, FC2, FC4, FC6, FT8, T7, C5, C3, C1, CZ, C2, C4, C6, T8, TP7, CP5, CP3, CP1, CPZ, CP2, CP4, CP6, TP8, P7, P5, P3, P1, PZ, P2, P4, P6, P8, PO7, PO5, PO3, POZ, PO4, PO6, PO8, O1, OZ, O2, CB1, CB2\n  Montage: standard_1005\n  Hardware: Neuroscan Quik-Cap 65-ch, SynAmps2\n  Reference: right mastoid (M1)\n  Ground: forehead\n  Sensor type: Ag/AgCl\n  Line frequency: 50.0 Hz\n  Online filters: {'highpass_time_constant_s': 10}\n\nParticipants\n------------\n  Number of subjects: 31\n  Health status: healthy\n  Age: mean=28.3, min=20.0, max=57.0\n  Gender distribution: female=11, male=20\n  Species: human\n\nExperimental Protocol\n---------------------\n  Paradigm: ssvep\n  Number of classes: 4\n  Class labels: 10.0, 11.0, 12.0, 13.0\n  Trial duration: 7.0 s\n  Study design: Multi-paradigm BCI (MI/ME/SSVEP/P300). SSVEP: 4-class frequency flickering, 48 trials/session, up to 3 sessions per subject.\n  Feedback type: none\n  Stimulus type: flickering LED\n  Stimulus modalities: visual\n  Primary modality: visual\n  Synchronicity: synchronous\n  Mode: offline\n\nHED Event Annotations\n---------------------\n  Schema: HED 8.4.0 | Browse: https://www.hedtags.org/hed-schema-browser\n\n  10.0\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/10_0\n\n  11.0\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/11_0\n\n  12.0\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/12_0\n\n  13.0\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/13_0\n\nParadigm-Specific Parameters\n----------------------------\n  Detected paradigm: ssvep\n  Stimulus frequencies: [8.0, 10.0, 12.0, 15.0] Hz\n\nData Structure\n--------------\n  Trials: 3024\n  Trials context: 63 sessions x 48 trials = 3024\n\nBCI Application\n---------------\n  Applications: communication\n  Environment: laboratory\n\nTags\n----\n  Pathology: Healthy\n  Modality: Visual\n  Type: Research\n\nDocumentation\n-------------\n  DOI: 10.1038/s41597-025-04861-9\n  License: CC0\n  Investigators: Eva Guttmann-Flury, Xinjun Sheng, Xiangyang Zhu\n  Institution: Shanghai Jiao Tong University\n  Country: CN\n  Publication year: 2025\n\nReferences\n----------\nGuttmann-Flury, E., Sheng, X., & Zhu, X. (2025). Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms. Scientific Data, 12, 587. https://doi.org/10.1038/s41597-025-04861-9\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":3,"publish_date":"2026-03-28 02:32:55","embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-09-04 08:28:18","zarr_store_count":26,"zarr_index_etag":"7c8be1e3ed7f3ce252d19f9c8a98fbc2","zarr_source_commit":"146121a2542beab9854e09c1bac76bbe610e286d","archive_status":"ready","archive_size":24665841508,"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":12,"n_channels":62,"electrode_system":"10-10","has_hed":1,"hed_version":"8.4.0","is_exemplar":0,"bytes_present":30744123868,"data_complete":1,"withdrawn_at":null,"withdrawn_reason":null,"archive_complete":1,"archive_absent_files":0,"archive_declared_files":801,"zarr_pool_breaks":0,"total_recording_duration":11364,"recording_duration_min":411,"recording_duration_max":493,"recording_count":26,"recordings_unavailable":0,"recordings_measured":26,"channel_count_min":65,"channel_count_max":65,"sampling_frequency":1000,"power_line_frequency":50,"eeg_reference":"right mastoid (M1)","placement_scheme":"10-05 system","sweep_stamps":"{\"enrichment_updated_at\":\"2026-08-18 18:17:53\",\"metadata_updated_at\":\"2026-08-18 18:18:33\",\"archive_checked_at\":\"2026-08-18 18:38:44\",\"zarr_checked_at\":\"2026-06-07 17:58:38\",\"records_checked_at\":\"2026-08-18 18:23:31\",\"citations_updated_at\":\"2026-09-07 03:00:49\",\"channel_montage_checked_at\":\"2026-06-28 23:03:29\",\"hed_checked_at\":\"2026-06-30 04:33:47\",\"data_checked_at\":null,\"availability_report_at\":\"2026-08-23 03:00:46\",\"signal_defaults_at\":\"2026-09-02 11:52:00\",\"recording_stats_at\":\"2026-09-05 03:02:02\"}","participants":11,"num_citations":12,"latest_version":"v1.0.3","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"bruaristimunha","owner_github":"bruAristimunha","file_size_formatted":"28.64 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/nm000310/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}}