Checkerboard m-sequence-based c-VEP dataset from

Checkerboard m-sequence-based c-VEP dataset from Martínez-Cagigal et al. (2025) and Fernández-Rodríguez et al. (2023).

Dataset Overview

• Code: MartinezCagigal2023Checkercvep
• Paradigm: cvep
• DOI: https://doi.org/10.71569/7c67-v596
• Subjects: 16
• Sessions per subject: 8
• Events: 0.0=100, 1.0=101
• Trial interval: (0, 1) s
• Runs per session: 3

Acquisition

• Sampling rate: 256.0 Hz
• Number of channels: 16
• Channel types: eeg=16
• Montage: standard_1005
• Line frequency: 50.0 Hz

Participants

• Number of subjects: 16
• Health status: healthy

Experimental Protocol

• Paradigm: cvep
• Number of classes: 2
• Class labels: 0.0, 1.0

HED Event Annotations

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

  0.0
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/intensity_0_0

  1.0
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/intensity_1_0

Documentation

• DOI: 10.71569/7c67-v596
• Associated paper DOI: 10.3389/fnhum.2023.1288438
• License: CC-BY-NC-SA-4.0
• Investigators: Álvaro Fernández-Rodríguez, Víctor Martínez-Cagigal, Eduardo Santamaría-Vázquez, Ricardo Ron-Angevin, Roberto Hornero
• Senior author: Roberto Hornero
• Contact: victor.martinez@gib.tel.uva.es
• Institution: University of Valladolid
• Department: Biomedical Engineering Group, ETSIT
• Address: Paseo de Belén, 15, 47011, Valladolid, Spain
• Country: ES
• Repository: U Valladoid
• Data URL: https://doi.org/10.71569/7c67-v596
• Publication year: 2023
• Ethics approval: Approved by the local ethics committee; all participants provided informed consent
• How to acknowledge: Please cite: Fernández-Rodríguez et al. (2023). Influence of spatial frequency in visual stimuli for cVEP-based BCIs: evaluation of performance and user experience. Frontiers in Human Neuroscience, 17, 1288438. https://doi.org/10.3389/fnhum.2023.1288438

References

Martínez Cagigal, V. (2025). Dataset: Influence of spatial frequency in visual stimuli for cVEP-based BCIs: evaluation of performance and user experience. https://doi.org/10.71569/7c67-v596

Fernández-Rodríguez, Á., Martínez-Cagigal, V., Santamaría-Vázquez, E., Ron-Angevin, R., & Hornero, R. (2023). Influence of spatial frequency in visual stimuli for cVEP-based BCIs: evaluation of performance and user experience. Frontiers in Human Neuroscience, 17, 1288438. https://doi.org/10.3389/fnhum.2023.1288438

Santamaría-Vázquez, E., Martínez-Cagigal, V., Marcos-Martínez, D., Rodríguez-González, V., Pérez-Velasco, S., Moreno-Calderón, S., & Hornero, R. (2023). MEDUSA©: A novel Python-based software ecosystem to accelerate brain–computer interface and cognitive neuroscience research. Computer Methods and Programs in Biomedicine, 230, 107357. https://doi.org/10.1016/j.cmpb.2023.107357

Notes

Although the dataset was recorded in a single session, each condition is stored as a separate session to match the MOABB structure. Within each session, three runs are available (two for training, one for testing).

.. versionadded:: 1.2.0 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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Generated by MOABB 1.5.0 (Mother of All BCI Benchmarks) https://github.com/NeuroTechX/moabb