Guttmann-Flury et al. 2025 (P300) — Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms

GuttmannFlury2025-P300 ======================

Eye-BCI multimodal P300 speller dataset from Guttmann-Flury et al 2025.

Dataset Overview

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Code: GuttmannFlury2025-P300 Paradigm: p300 DOI: 10.1038/s41597-025-04861-9 Subjects: 31 Sessions per subject: 3 Events: Target=1, NonTarget=2 Trial interval: [0, 1] s File format: BDF

Acquisition

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Sampling rate: 1000.0 Hz Number of channels: 66 Channel types: eeg=64, eog=1, stim=1 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 Montage: standard1005 Hardware: Neuroscan Quik-Cap 65-ch, SynAmps2 Reference: right mastoid (M1) Ground: forehead Sensor type: Ag/AgCl Line frequency: 50.0 Hz Online filters: {'highpasstimeconstants': 10}

Participants

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Number of subjects: 31 Health status: healthy Age: mean=28.3, min=20.0, max=57.0 Gender distribution: female=11, male=20 Species: human

Experimental Protocol

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Paradigm: p300 Number of classes: 2 Class labels: Target, NonTarget Study design: Multi-paradigm BCI (MI/ME/SSVEP/P300). P300: row/column speller with 4L and 5L grid sizes. Feedback type: none Stimulus type: row-column flash Stimulus modalities: visual Primary modality: visual Synchronicity: synchronous Mode: offline

HED Event Annotations

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Schema: HED 8.4.0 | Browse: https://www.hedtags.org/hed-schema-browser

Target ├─ Sensory-event ├─ Experimental-stimulus ├─ Visual-presentation └─ Target

NonTarget ├─ Sensory-event ├─ Experimental-stimulus ├─ Visual-presentation └─ Non-target

Paradigm-Specific Parameters

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Detected paradigm: p300

Data Structure

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Trials: 2520 Trials context: 63 sessions x 40 trials = 2520 (P300-4L default)

BCI Application

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Applications: speller, communication Environment: laboratory

Tags

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Pathology: Healthy Modality: ERP Type: Research

Documentation

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DOI: 10.1038/s41597-025-04861-9 License: CC0 Investigators: Eva Guttmann-Flury, Xinjun Sheng, Xiangyang Zhu Institution: Shanghai Jiao Tong University Country: CN Publication year: 2025

References

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Guttmann-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 Appelhoff, 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

Pernet, 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

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