on004444
The BMI-HDEEG dataset 1
EEG
…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
- Participants
- 30
- Channels
- 129 (egi-geodesic)
- Size
- 48.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
79 results for "sensorimotor rhythms" · page 2 of 8 · 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)
- Size
- 29.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006848
AlphaDirection1: EEG, ECG, PPG in the resting state and working memory for sequentially and simultaneously presented digits
BEH EEGThis dataset comprises 64-channel EEG recordings with concurrent ECG and PPG measurements from 30 healthy young adults during resting state and a verbal working memory task. Participants performed digit span recall under four presentation modes (simultaneous, fast sequential, fast sequential with delay, and slow sequential), enabling investigation of neural oscillations and peripheral physiological responses during working memory encoding, maintenance, and retrieval. The dataset includes behavioral accuracy measures and trial-by-trial performance metrics.
- Participants
- 30
- Channels
- 63 (10-10)
- Size
- 41.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004448
The BMI-HDEEG dataset 4
EEG…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
- Participants
- 56
- Channels
- 129 (egi-geodesic)
- Size
- 38.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004152
Drum Trainer
BEH EEGThis dataset comprises electroencephalography (EEG) recordings from 21 participants learning to perform two distinct drumming patterns at three different tempos using keyboard responses. Participants received real-time visual feedback indicating response timing accuracy (early, on-time, or late) relative to target durations. The study investigates motor learning and timing control during sequential pattern acquisition, with detailed event markers capturing metronome beats, response types, and feedback outcomes across 72 trials per participant.
- Participants
- 21
- Channels
- 31 (10-10)
- Size
- 4.76 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003458
EEG: Three armed bandit gambling task
EEG…Data collected in 2014 in the Cognitive Rhythms and Computation Lab, University…
- Participants
- 23
- Channels
- 64 (10-10)
- Size
- 4.72 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004998
Exploring the electrophysiology of Parkinson's disease - magnetoencephalography combined with deep brain recordings from the subthalamic nucleus.
MEGThis dataset comprises simultaneous magnetoencephalography and subthalamic nucleus local field potential recordings from externalized deep brain stimulation patients with Parkinson's disease, acquired under dopaminergic medication on and off conditions. Participants performed two motor tasks—static forearm extension and self-paced fist clenching—each preceded by resting periods, with some patients recorded during rest only. The dataset enables investigation of basal ganglia-cortex circuit electrophysiology and its modulation by movement and pharmacological state.
- Participants
- 20
- Size
- 162 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004980
EEG data set for a architectural affordances task
EEG[
- Size
- 15.8 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002722
A dataset recorded during development of an affective brain-computer music interface: calibration session
EEGThis dataset contains electroencephalogram (EEG), galvanic skin response (GSR), and electrocardiogram (ECG) recordings from 19 healthy adult participants during a calibration session of an affective brain-computer music interface system. Participants listened to 40-second synthetic music clips designed to induce specific affective states defined by valence and arousal dimensions across 5 runs of 18 trials each. The synthetic music was generated in real-time based on target emotional states and could be modified online to induce target emotional states. The dataset includes self-reported affective state ratings and auxiliary variables, serving as calibration data for the brain-computer music interface system. This dataset is part of a three-dataset collection that includes offline training and online real-time control sessions.
- Participants
- 19
- Channels
- 32 (10-10)
- Size
- 6.10 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000171
BNCI 2014-002 Motor Imagery dataset
EEG…forests, regularized linear discriminant analysis, sensorimotor rhythms ## References Scherer, R., Faller, J…
- Participants
- 14
- Channels
- 15 (other)
- Citations
- 89
- HED
- v8.4.0
- Size
- 553 MB
- Version
- v1.0.2
- Updated
- Jul 10, 2026