on003775
SRM Resting-state EEG
EEG Zarr
…The data is recorded with a BioSemi ActiveTwo system, using 64 electrodes…
- Participants
- 111
- Channels
- 64 (10-10)
- Citations
- 36
- Size
- 20.7 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
Discover datasets
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- nm000271
Chang et al. 2025 — A multi-paradigm EEG dataset for studying upper limb rehabilitation exercises (Lanzhou Jiaotong University)
EEG Zarr…The BIDS conversion in this NEMAR record contains EEG data for **28…
- Participants
- 28
- Channels
- 59 (10-10)
- Citations
- 3
- HED
- v8.4.0
- Size
- 47.1 GB
- Version
- v1.0.5
- Updated
- Aug 20, 2026
- nm000314
MartinezPeon2024: Kinesthetic motor imagery at graded force levels
EEGEEG recordings of kinesthetic motor imagery of a right-hand ball squeeze at three graded force levels (10%, 40% and 70% of maximal voluntary contraction) from 10 healthy participants. Data were acquired with a 14-channel Emotiv EPOC headset at 128 Hz, with five 5-second imagery cues per 40-second recording. The dataset supports characterization and classification of motor imagery force levels for brain-computer interface research. The associated paper (Journal of Neural Engineering, 2024) is by Martinez-Peon, Garcia-Hernandez, Benavides-Bravo and Parra-Vega.
- Participants
- 10
- Channels
- 14 (10-10)
- HED
- v8.4.0
- Size
- 54.7 MB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- on005811
NOD-EEG
EEG Zarr…The MEG data's accession number is `ds005810`. --- # Data Records ## Directory Structure…
- Participants
- 19
- Channels
- 62 (10-10)
- Citations
- 5
- Size
- 24.3 GB
- Version
- v1.0.0
- Updated
- Jun 28, 2026
- nm000252
Imagined speech EEG dataset — long words condition (Nguyen et al. 2017)
EEG Zarr…The original data and license terms apply — see `dataset_description.json` for…
- Participants
- 6
- Channels
- 60 (10-10)
- Citations
- 98
- HED
- v8.4.0
- Size
- 1.27 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000174
Imagined Speech EEG dataset comparing paradigm designs (Aguilera-Rodriguez et al. 2025)
EEG Zarr…The original data and license terms apply — see `dataset_description.json` for…
- Participants
- 15
- Channels
- 24 (10-10)
- HED
- v8.4.0
- Size
- 1.52 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000322
NeBULA2025: Standardized reaching motor-execution EEG dataset (NeBULA)
EEGNeBULA2025 is a high-density EEG (127 channels) and surface EMG dataset recorded from 39 healthy adults performing a standardized right-arm reaching task toward one of three illuminated targets. The task was performed under three robotic assistance levels (free, low, high), supporting research into neuromechanical biomarkers for upper limb assessment. This BIDS release was reformatted via MOABB from the originally published data.
- Participants
- 39
- Channels
- 127 (10-05)
- HED
- v8.4.0
- Size
- 9.07 GB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- nm000261
Imagined speech EEG dataset — vowels condition (Nguyen et al. 2017)
EEG Zarr…The original data and license terms apply — see `dataset_description.json` for…
- Participants
- 8
- Channels
- 60 (10-10)
- Citations
- 97
- HED
- v8.4.0
- Size
- 2.58 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000255
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 2
BEH EEG Zarr fidelity issueMultimodal dataset of 31 participants watching five short educational videos while EEG, ECG, EOG, gaze, pupil size, blinks, saccades, and head motion were recorded. Each participant completed an attentive session, in which factual questions followed each video, and a distracted session, in which they silently counted backwards. Experiment 2 uses an incidental learning design, so participants did not know in advance that they would be tested. Questionnaire data, including stimulus-related questions and the ASRS adult ADHD checklist, are included.
- Participants
- 31
- Channels
- 64 (10-10)
- Size
- 5.25 GB
- Version
- v1.0.0
- Updated
- Jun 3, 2026
- on005383
TMNRED, A Chinese Language EEG Dataset for Fuzzy Semantic Target Identification in Natural Reading Environments
EEG Zarr…General information about the dataset. - `data_all.mat`: Labeled EEG data of…
- Participants
- 30
- Channels
- 30 (10-10)
- Citations
- 4
- Size
- 17.4 GB
- Version
- v1.0.0
- Updated
- Jun 26, 2026