on004511
Deception_data
BEH EEG
…The dataset includes both resting-state (eyes closed) and task-related neurophysiological…
- Participants
- 45
- Channels
- 139 (other)
- Size
- 202 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "neurophysiological biomarkers" · page 7 of 10 · ranked by relevance
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- nm000351
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study P)
EEGBigP3BCI Study P is a P300-based brain-computer interface dataset comprising EEG recordings from 19 healthy subjects across 2 sessions each, using a 9x8 character grid spelling paradigm. The dataset contains 32-channel EEG data sampled at 256 Hz with standardized 10-20 montage, annotated with target and non-target visual stimulus events. This derivative dataset is part of the largest public P300 BCI dataset collection, and is optimized for machine learning applications in BCI research.
- Participants
- 19
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 1.46 GB
- Version
- vv1.0.1
- Updated
- Jul 10, 2026
- on004625
Mind in Motion Young Adults Walking Over Uneven Terrain
EEG[
- Size
- 61.9 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000197
BigP3BCI Study M — 9x8 adaptive/checkerboard (21 ALS subjects)
EEG- Participants
- 21
- HED
- v8.4.0
- Size
- 483 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on006446
Cueing the future to reduce temporal discounting
EEG[
- Size
- 16.1 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000178
BNCI 2020-001 Reach-and-Grasp Electrode Comparison EEG dataset
EEGThis dataset comprises EEG recordings from 15 healthy participants performing self-initiated reach-and-grasp motor tasks using three different recording systems: gel-based laboratory equipment, water-based mobile EEG, and dry-electrode mobile EEG. Data were acquired at 256 Hz from 58 EEG channels plus 6 EOG channels across three sessions with a total of 7,200 trials. Participants executed palmar and lateral grasp actions toward objects while EEG signals were recorded. The study investigates the feasibility of decoding natural reach-and-grasp neural correlates across different EEG acquisition modalities for brain-computer interface applications.
- Participants
- 45
- Channels
- 58 (10-05)
- HED
- v8.4.0
- Size
- 2.08 GB
- Version
- vv1.0.1
- Updated
- Jul 10, 2026
- on004505
Real World Table Tennis
ANAT EEG[
- Citations
- 24
- Size
- 523 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000125
Lee2021 – SSVEP paradigm of the Mobile BCI dataset
EEG- Participants
- 23
- Channels
- 73 (other)
- Citations
- 32
- HED
- v8.4.0
- Size
- 1.31 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on008082
A COVID-19 survivors and close contacts EEG dataset
EEG[
- Size
- 1.10 GB
- Version
- vv1.0.0
- Updated
- Jul 22, 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
- vv1.0.0
- Updated
- Jul 10, 2026