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
Discover datasets
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- on004017
Embodied Learning for Literacy EEG
EEG Zarr fidelity issue[
- Size
- 36.6 GB
- Version
- v1.0.0
- Updated
- Jun 23, 2026
- nm000105
FRL Discrete Gestures: Hand Gesture Recognition from Surface Electromyography
EMG Zarr…1D convolution → LSTM layers **Learning effects**: Participants improve from practice to evaluation…
- Participants
- 100
- Size
- 20.6 GB
- Version
- v2.0.0
- Updated
- Feb 23, 2026
- nm000291
Pan2023: Cross-session motor imagery dataset from Pan et al. 2023
EEG Zarr…Riemannian geometric and ensemble learning for decoding cross-session motor imagery electroencephalography…
- Participants
- 14
- Channels
- 28 (10-10)
- HED
- v8.4.0
- Size
- 1018 MB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- nm000300
Pan2025: Cross-session motor imagery dataset from Pan et al. 2025
EEG Zarr…Riemannian geometric and ensemble learning for decoding cross-session motor imagery electroencephalography…
- Participants
- 10
- Channels
- 28 (10-10)
- HED
- v8.4.0
- Size
- 1.01 GB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- nm000134
Alljoined-1.6M
EEG Zarr[
- Size
- 8.78 GB
- Version
- v1.0.3
- Updated
- Sep 23, 2026
- nm000210
BCIAUT-P300 dataset for autism from Simoes et al 2020
EEG Zarr…P300 BCI joint-attention training in virtual environment; 8 flashing objects; 15…
- Participants
- 15
- Channels
- 8 (10-10)
- Citations
- 67
- HED
- v8.4.0
- Size
- 9.33 GB
- Version
- v1.0.3
- Updated
- Oct 8, 2026
- nm000268
Shin et al. 2017 (Experiment B) — Open Access Dataset for EEG+NIRS Single-Trial Classification
EEG Zarr…Department of Computer Science, Machine Learning Group Address: 10587 Berlin, Germany Country…
- Participants
- 29
- Channels
- 30 (10-05)
- Citations
- 95
- HED
- v8.4.0
- Size
- 6.62 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on002336
A multi-modal human neuroimaging dataset for data integration: simultaneous EEG and fMRI acquisition during a motor imagery neurofeedback task: XP1
ANAT EEG FUNC ZarrA multi-modal neuroimaging dataset (XP1) with simultaneous 64-channel EEG and fMRI recorded while 10 participants performed right-hand kinaesthetic motor imagery with neurofeedback. Each participant completed motor localizer, pre- and post-training motor imagery runs, and three neurofeedback runs (EEG-only, fMRI-only, and bimodal EEG-fMRI). The release includes raw and preprocessed EEG, BOLD fMRI, anatomical data, and EEG and BOLD neurofeedback scores to support multi-modal data integration.
- Participants
- 10
- Size
- 18.0 GB
- Version
- v1.0.0
- Updated
- Jun 21, 2026
- nm000170
BNCI 2025-002 Continuous 2D Trajectory Decoding dataset
EEG Zarr…within-subject, learning effects over sessions ## Performance (Original Study) - **Normalized Correlation Mean…
- Participants
- 10
- Channels
- 60 (10-05)
- Citations
- 20
- HED
- v8.4.0
- Size
- 7.38 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026