nm000237
7-day motor imagery BCI EEG dataset from Zhou et al 2021
EEG
…10.3389/fnhum.2021.701091 - **Subjects**: 20 - **Sessions per subject**: 7 - **Events…
- Citations
- 14
- Size
- 16.0 GB
- Updated
- Jun 18, 2026
Discover datasets
100 results for "within-subject design" · page 7 of 10 · ranked by relevance
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- nm000250
Dreyer et al. 2023 — A large EEG database with users' profile information for motor imagery brain-computer interface research
EEG…10.1038/s41597-023-02445-z - **Subjects**: 87 - **Sessions per subject**: 1…
- Citations
- 36
- Size
- 8.83 GB
- Updated
- Jun 19, 2026
- on005089
Proactive selective attention across competition contexts
EEG[ — An auditory brain-computer interface based on selective attention to multiple tone streams
EEG…to Stream 3 - **Study design**: within-subject - **Study domain**: auditory BCI - **Feedback…
- Citations
- 8
- Size
- 3.74 GB
- Updated
- Jun 2, 2026
- on003029
Epilepsy-iEEG-Multicenter-Dataset
iEEG…For additional clinical metadata about each subject, refer to the clinical Excel…
- Citations
- 16
- Size
- 10.1 GB
- Updated
- Jun 21, 2026
- nm000207
Kojima et al. 2024 (Dataset B) — Four-class ASME BCI: investigation of the feasibility and comparison of two strategies for multiclassing
EEG…ASME-4stream, ASME-2stream - **Study design**: within-subject comparison - **Study domain**: auditory…
- Citations
- 4
- Size
- 13.9 GB
- Updated
- Jun 2, 2026
- nm000246
Multi-day MI-BCI dataset (WBCIC-SHU) from Yang et al 2025
EEG…10.1038/s41597-025-04826-y - **Subjects**: 51 - **Sessions per subject**: 3…
- Citations
- 29
- Size
- 58.4 GB
- Updated
- Jun 3, 2026
- nm000311
Multimodal upper-limb MI/ME EEG (Jeong et al. 2020)
EEG…10.1093/gigascience/giaa098 Subjects: 25 Sessions per subject: 3 Events: reach…
- Citations
- 78
- Size
- 88.6 GB
- Updated
- May 16, 2026
- nm000133
Alljoined1
EEG…Round-trip validation confirmed data integrity to within 1.55e-8 V…
- Citations
- 6
- Size
- 7.74 GB
- Updated
- May 18, 2026
- nm000169
BNCI 2014-008 P300 dataset (ALS patients)
EEG…within_subject ## Performance (Original Study) - **Accuracy**: 97.5% - **Binary Accuracy Offline**: 87…
- Citations
- 88
- Size
- 74.8 MB
- Updated
- May 18, 2026