# TMNRED / ds005383: EEG decoding results

Semantic 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](https://openneuro.org/datasets/ds005383) · [pmc.ncbi.nlm.nih.gov](https://pmc.ncbi.nlm.nih.gov/articles/PMC12032204/) · [doi.org](https://doi.org/10.1038/s41597-025-05036-2)

## Where it appears

- [Core matrix (home page)](https://bci.report/#overview)

## Published results

Every figure below is copied from a reviewed download, not recomputed for this page. Read each group with its protocol on the linked page.

### Core matrix · semantic target ERP

Read with its protocol: [Core matrix (home page)](https://bci.report/#overview) · Chance level 50.0% · [experiments.json](https://bci.report/data/experiments.json)

**Balanced accuracy, 5 configurations.** Dot: the estimate; line: 95% interval; dashed line: chance level where the payload records one.

- Spectral ridge: 51.0% (49.6%–52.5%)
- Temporal ridge: 56.3% (54.4%–58.4%)
- LaBraM: 53.2% (51.3%–54.9%)
- CBraMod: 55.8% (54.2%–57.4%)
- EEGNet: 61.4% (58.9%–64.0%)

| 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](https://bci.report/methods/labram/) | Reading · target versus nontarget events | Balanced accuracy | 53.2% (51.3%–54.9%) | 30 |
| [CBraMod](https://bci.report/methods/cbramod/) | Reading · target versus nontarget events | Balanced accuracy | 55.8% (54.2%–57.4%) | 30 |
| [EEGNet](https://bci.report/methods/eegnet/) | Reading · target versus nontarget events | Balanced accuracy | 61.4% (58.9%–64.0%) | 30 |

## Source and licence

### TMNRED / ds005383

**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 ↗](https://creativecommons.org/licenses/by/4.0/) · [Dataset record ↗](https://doi.org/10.18112/openneuro.ds005383.v1.0.0)

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.

[All datasets →](https://bci.report/datasets/) · [All methods →](https://bci.report/methods/)

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Markdown copy of https://bci.report/datasets/tmnred/, generated from the published page. Figures are aggregate results; terms of use: https://bci.report/data-use/