Published December 15, 2023
| Version v1
Dataset
Open
Dong2023 - SSVEP EEG Dataset
Description
This is a mirror of the EEG dataset originally shared on Google Drive by Dong and Tian (2023), rehosted on Zenodo for stable, programmatic access.
The dataset contains 8-channel EEG recordings from 59 healthy adolescent volunteers (38 males, 21 females, aged 10–16, mean age 12.3) collected during the Suzhou Junior Competition of BCI Olympics 2022. Subjects performed a 40-target steady-state visual evoked potential (SSVEP) brain-computer interface task using joint frequency and phase modulation (JFPM).
Experimental design
- 40 visual targets arranged in a 4x10 matrix layout
- Stimulation frequencies: 8.0–15.8 Hz (0.2 Hz step)
- Each subject completed 4 blocks of 40 trials
- Trial structure: 1 s cue + 4 s stimulation + 1 s feedback
Recording setup
- EEG system: NeuSenW (Neuracle) with 8 semi-dry (pre-gelled) electrodes
- Electrode positions: POz, PO3, PO4, PO7, PO8, Oz, O1, O2
- Original sampling rate: 1000 Hz, downsampled to 250 Hz
- No electromagnetic shielding was used during recording
Data format
- 59 individual MATLAB (.mat) files, one per subject (S1.mat–S59.mat)
- Each file contains a variable "eegdata" with shape [8, 1250, 40, 4] corresponding to [channels, time points, targets, blocks]
- Each epoch spans 5 s (0.5 s pre-stimulus + 4 s stimulation + 0.5 s post-stimulus) at 250 Hz = 1250 samples
Original source
Google Drive folder shared by the authors: https://drive.google.com/drive/folders/1TXuxU863nZoniZRgNWZy0PRuL8lhBuP4
Reference
Y. Dong and S. Tian, "A large database towards user-friendly SSVEP-based BCI," Brain Science Advances, vol. 9, no. 4, pp. 297–309, 2023. DOI: https://doi.org/10.26599/BSA.2023.9050020
Files
Files
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Additional details
Identifiers
References
- Y. Dong and S. Tian, "A large database towards user-friendly SSVEP-based BCI," Brain Science Advances, vol. 9, no. 4, pp. 297–309, 2023. DOI: 10.26599/BSA.2023.9050020