on005280
223 By BP
EEG
[
- Size
- 137 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "neurophysiological biomarkers" · page 8 of 10 · ranked by relevance
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- nm000140
BNCI 2015-001 Motor Imagery dataset
EEG- Participants
- 12
- Channels
- 13 (10-10)
- Citations
- 95
- HED
- v8.4.0
- Size
- 1.13 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004902
A Resting-state EEG Dataset for Sleep Deprivation
BEH EEG[
- Size
- 8.29 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000142
Ear-EEG motor execution dataset from Wu et al 2020
EEG- Participants
- 6
- Channels
- 122 (10-05)
- Citations
- 10
- HED
- v8.4.0
- Size
- 4.93 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005292
142 by Biosemi
EEG[
- Size
- 116 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000103
Healthy Brain Network EEG - Not for Commercial Use
EEGNEMAR Dataset nm000103: HBN-EEG NC - Healthy Brain Network EEG data
- Participants
- 447
- Channels
- 129 (egi-geodesic)
- HED
- v8.3.0
- Size
- 250 GB
- Version
- v2.0.0
- Updated
- Jul 10, 2026
- on004579
Interval Timing Task
EEG[
- Citations
- 5
- Size
- 24.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000206
Neuroergonomic 2021 dataset
EEGA multi-session EEG dataset acquired from 15 healthy participants performing resting state and graded cognitive tasks (MATB-II at three difficulty levels). The dataset comprises 62-channel EEG recordings at 500 Hz sampling rate designed for passive brain-computer interface applications and mental workload estimation in neuroergonomic contexts. Raw EEG data are provided with standardized event annotations using HED 8.4.0 schema and MOABB-compatible feature extraction pipelines (bandpower analysis and Riemannian covariance methods) for benchmarking purposes.
- Participants
- 15
- Citations
- 56
- HED
- v8.4.0
- Size
- 1.22 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004572
The effects of sham hypnosis techniques
EEG[
- Size
- 43.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000343
Hinss et al. 2021 — Open multi-session and multi-task EEG cognitive Dataset for passive brain-computer Interface Applications
EEGThis dataset comprises multi-session, multi-task EEG recordings from 15 healthy participants performing resting state and graded difficulty levels of the MATB-II task. Acquired at 500 Hz using 62 active electrodes, the dataset includes 90 trials per participant across two sessions and is designed to support passive brain-computer interface applications and mental workload estimation in neuroergonomic contexts. The dataset is in raw, unpreprocessed state and has been formatted according to BIDS standards for accessibility and reproducibility.
- Participants
- 15
- Channels
- 61 (10-10)
- Citations
- 59
- HED
- v8.4.0
- Size
- 1.22 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026