on004368
Meta-rdk: Preprocessed EEG data
EEG
Imported from OpenNeuro ds004368
- Participants
- 39
- Channels
- 63 (10-10)
- Size
- 969 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "brain-computer interfaces" · page 10 of 10 · ranked by relevance
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- on004446
The BMI-HDEEG dataset 2
EEG…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
- Participants
- 30
- Channels
- 129 (egi-geodesic)
- Citations
- 10
- Size
- 29.2 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004661
ANDI
EEGImported from OpenNeuro ds004661
- Participants
- 17
- Channels
- 64 (10-10)
- HED
- v8.1.0
- Size
- 1.40 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004200
Temporal Scaling
BEH EEG…In the Perception task, participants judged a computer-produced interval as correct…
- Participants
- 20
- Channels
- 37 (10-10)
- Citations
- 5
- Size
- 7.21 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004752
Dataset of intracranial EEG, scalp EEG and beamforming sources from epilepsy patients performing a verbal working memory task
EEG iEEGThis dataset comprises simultaneous scalp EEG and intracranial EEG (iEEG) recordings from fifteen epilepsy patients undergoing intracranial monitoring while performing a modified Sternberg verbal working memory task. Recordings include depth electrode iEEG, 10-20 scalp EEG, electrode localization (MNI coordinates and anatomical labels), and derived LCMV beamforming virtual sensor data from multiple brain regions (temporal superior lobe, lateral prefrontal cortex, occipital cortex, posterior parietal cortex, and Broca's area). Behavioral data on trial set size, match/mismatch condition, accuracy, and response time are also provided, enabling analyses of memory encoding, maintenance, and recall processes, connectivity, and neural replay.
- Participants
- 15
- Channels
- 19 (10-20)
- Citations
- 47
- Size
- 11.9 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000264
Vaineau, Barachant & Andreev 2013 — Brain Invaders Adaptive versus Non-Adaptive P300 Brain-Computer Interface dataset (BI2013a)
EEG…Brain invaders adaptive versus non-adaptive P300 brain-computer interface dataset. arXiv…
- Participants
- 24
- Channels
- 16 (10-10)
- Citations
- 6
- HED
- v8.4.0
- Size
- 3.00 GB
- Version
- v1.0.4
- 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 FUNCThis dataset comprises simultaneous EEG and fMRI recordings from 10 subjects performing motor imagery and neurofeedback tasks. Participants completed six runs including motor localization, pre- and post-neurofeedback motor imagery, and three neurofeedback conditions (bimodal EEG-fMRI, unimodal EEG, and unimodal fMRI). The dataset provides both raw and preprocessed EEG data (64 channels at 5 kHz), structural and functional MRI data (3T Siemens, 2×2×4 mm³ resolution), and computed neurofeedback scores, enabling multi-modal neuroimaging data integration studies.
- Participants
- 10
- Size
- 18.0 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000132
ERP CORE
EEG- Participants
- 40
- Channels
- 30 (10-10)
- Citations
- 92
- HED
- v8.4.0
- Size
- 17.5 GB
- Version
- v1.1.1
- Updated
- Jul 10, 2026
- nm000250
Dreyer et al. 2023 — A large EEG database with users' profile information for motor imagery brain-computer interface research
EEG…motor imagery, brain-computer interface, EEG, BCI illiteracy, user training, personality profile…
- Participants
- 87
- Channels
- 27 (10-10)
- Citations
- 38
- HED
- v8.4.0
- Size
- 15.8 GB
- Version
- v1.0.4
- Updated
- Aug 18, 2026
- nm000245
Motor Imagery dataset from Cho et al 2017
EEG…EEG datasets for motor imagery brain-computer interface from 52 subjects with…
- Participants
- 52
- Channels
- 64 (10-10)
- Citations
- 91
- HED
- v8.4.0
- Size
- 16.7 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026