on006159
Implicit Learning EEG (BioSemi)
BEH EEG Zarr
[. It was collected by a group studying pain and sensorimotor neuroscience, and it is shared in BIDS format under a CC0 license.
- Participants
- 159
- Size
- 371 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- on008496
EEG RKI
EEG Zarr…Based on EEG of Student Learning Processes Using Gen-AI This dataset…
- Participants
- 15
- Channels
- 14 (other)
- Size
- 1.17 GB
- Version
- v1.0.0
- Updated
- Sep 8, 2026
- on005383
TMNRED, A Chinese Language EEG Dataset for Fuzzy Semantic Target Identification in Natural Reading Environments
EEG ZarrTMNRED is an EEG dataset recorded from 30 native Chinese speakers during natural reading of news headlines and short sentences. Participants identified fuzzy semantic targets among target and non-target items. The dataset supports research on semantic processing of Chinese in naturalistic reading and includes raw and preprocessed data in BIDS format.
- Participants
- 30
- Channels
- 30 (10-10)
- Citations
- 4
- Size
- 17.4 GB
- Version
- v1.0.0
- Updated
- Jun 26, 2026
- on004849
STRONG
EEG ZarrSTRONG is a placeholder EEG dataset formatted according to BIDS with HED annotations. The README provides no detailed description of the participants, task, or experimental content. The dataset is mirrored from an OpenNeuro deposit.
- Participants
- 1
- Channels
- 64 (10-10)
- HED
- v8.1.0
- Size
- 79.2 MB
- Version
- v1.0.0
- Updated
- May 13, 2026
- nm000172
High-gamma dataset described in Schirrmeister et al. 2017
EEG Zarr…electroencephalography, EEG analysis, machine learning, end-to-end learning, brain-machine interface…
- Participants
- 14
- Channels
- 128 (10-05)
- Citations
- 78
- HED
- v8.4.0
- Size
- 31.3 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000104
emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography
EMG Zarr…Cross-user, cross-session generalization - **Transfer learning**: Generic models with user-specific…
- Participants
- 108
- Citations
- 1
- Size
- 223 GB
- Version
- v2.0.0
- Updated
- Feb 23, 2026
- on005779
Real-time personalized brain state-dependent TMS in healthy adults
EEG ZarrThis dataset contains raw EEG and transcranial magnetic stimulation (TMS) data from healthy adults, collected to test real-time, personalized brain state-dependent stimulation. Whole-brain activity patterns were decoded in real time to predict activation of the corticospinal tract, with motor evoked potentials as the outcome measure. The companion publication (Khatri, Pulliam, Manesiya, Cortez, Millán and Hussain, 'Personalized whole-brain activity patterns predict human corticospinal tract activation in real-time', Brain Stimulation, 2024) is in press and has no DOI yet.
- Participants
- 19
- Channels
- 70 (10-10)
- Size
- 88.7 GB
- Version
- v1.0.0
- Updated
- Jun 18, 2026
- on004147
Average Task Value
BEH EEG Zarr…Value Twelve participants completed three learning tasks. In each task the goal…
- Participants
- 12
- Channels
- 31 (10-10)
- Citations
- 2
- Size
- 4.00 GB
- Version
- v1.0.0
- Updated
- Jun 23, 2026
- on004853
TX17
EEG ZarrTX17 is an EEG dataset formatted according to BIDS with HED annotations, contributed by Johnson, Gordon, Touryan, and King. The README describes it only as a placeholder, so no further details on the experimental paradigm or participants are provided. It is a NEMAR-hosted copy of an OpenNeuro deposit.
- Participants
- 1
- Channels
- 64 (10-10)
- HED
- v8.1.0
- Size
- 79.2 MB
- Version
- v1.0.0
- Updated
- May 13, 2026