BCI Report Research previewSemantic target ERP
TMNRED is a Chinese natural-reading EEG dataset from Tianjin University: 30 native Chinese-speaking participants read news headlines or short sentences containing target or non-target semantic items across 8 blocks, recorded with a portable 32-channel system (30 effective channels). Released on OpenNeuro (ds005383) and described by Bai et al. in Scientific Data (2025).
Also known as TMNRED · ds005383 · TMNRED, A Chinese Language EEG Dataset for Fuzzy Semantic Target Identification in Natural Reading Environments · Bai et al. (2025)
Description sources openneuro.org · pmc.ncbi.nlm.nih.gov · doi.org
Every figure below is copied from a reviewed download, not recomputed for this page. Read each group with its protocol on the linked page.
| Method | Condition | Metric | Value | People |
|---|---|---|---|---|
| Spectral ridge | Reading · target versus nontarget events | Balanced accuracy | 51.0%49.6%–52.5% | 30 |
| Temporal ridge | Reading · target versus nontarget events | Balanced accuracy | 56.3%54.4%–58.4% | 30 |
| LaBraM | Reading · target versus nontarget events | Balanced accuracy | 53.2%51.3%–54.9% | 30 |
| CBraMod | Reading · target versus nontarget events | Balanced accuracy | 55.8%54.2%–57.4% | 30 |
| EEGNet | Reading · target versus nontarget events | Balanced accuracy | 61.4%58.9%–64.0% | 30 |
Credit Yanru Bai, Qi Tang et al. · TMNRED, A Chinese Language EEG Dataset for Fuzzy Semantic Target Identification in Natural Reading Environments (2025), doi:10.1038/s41597-025-05036-2. OpenNeuro ds005383 v1.0.0.
OpenNeuro metadata says CC0; accompanying publication/GitHub says CC BY 4.0 ↗ · Dataset record ↗
BCI Report does not redistribute any recording. These are aggregate measurements computed by BCI Report under the licence above; the data belong to the people credited.