EEG dataset for multi-class Chinese character stroke and pinyin vowel handwriting imagery (21 subjects, CCS-HI & SV-HI)

Version HistoryVersion 4.0 (December 21, 2025)Title correction: Updated the project title to reflect the expanded sample size (from "16 subjects" to "21 subjects"), consistent with the dataset content in Version 3.0.Version 3.0 (December 21, 2025)Dataset expansion: Added 5 new participants (sub-21 to sub-25), increasing total sample size from 16 to 21 (13 males, 8 females; age 22–32).Upload format adjustment:1. Root-level files (e.g., `dataset_description. json`, `participants. tsv`) are uploaded individually (no compression);2. Internal subfolders (e.g., `code/`, `sub-01/` to `sub-25/`, `stimuli/`) are uploaded as separate ZIP archives (retaining BIDS structure when extracted).3. Metadata update: Updated `participants. tsv/json` to include new subjects’ demographics (age, gender, education level).4. BIDS validation: The full dataset (post-extraction) passed BIDS compliance checks via the official BIDS Validator.Dataset Overview (Version 3.0)This EEG dataset supports Chinese handwriting imagery BCI research, with 2 tasks:CCS-HI: 5 Chinese character strokes (200 trials/session)SV-HI: 6 Pinyin monophthongs (240 trials/session)Key updates (vs. v2.0):Total subjects: 21 (13M/8F)Root files are directly accessible online; subfolders are provided as structured ZIPs (supports incremental downloads)Full metadata for new participantsFor detailed experimental design/preprocessing, refer to Version 2.0.UsageAccess via Figshare: https://doi.org/10.6084/m9.figshare.29987758.v3Root-level files (e.g., metadata) can be viewed/downloaded directly;To access subfolders (e.g., `sub-01/`, `code/`), download their corresponding ZIP archives and extract (retains BIDS structure);Incremental download support: Researchers who previously downloaded `sub-01` to `sub-20` can only download the new `sub-21` to `sub-25` ZIPs to update their dataset.Associated PublicationThe study presenting this dataset has been published in the peer-reviewed journal Scientific Data. Please refer to the following article for detailed methodology and analysis:Wang, F., Chen, Y., Wang, P., Gong, A., Xu, J. & Fu, Y. An EEG dataset for handwriting imagery decoding of Chinese character strokes and Pinyin single vowels. Sci. Data 13, 332 (2026).DOI: https://doi.org/10.1038/s41597-026-06708-3Citation RequirementIf you use this dataset in your research, please cite both the dataset and the associated article above to ensure proper attribution and reproducibility.