on006386
PhysioMotion_Artifact
EEG
[
- Size
- 36.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "arousal detection" · page 8 of 10 · ranked by relevance
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- nm000154
on001787
EEG- Participants
- 24
- Channels
- 64
- HED
- v8.4.0
- Size
- 5.69 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004541
Multimodal EEG-fNIRS data from patients undergoing general anesthesia
EEG NIRSA multimodal neuroimaging dataset combining simultaneous EEG and functional near-infrared spectroscopy (fNIRS) recordings from patients undergoing general anesthesia. This dataset provides synchronized brain activity measurements across two complementary modalities, enabling investigation of neural dynamics during anesthetic states. The data supports research into consciousness, anesthetic mechanisms, and multimodal brain imaging integration.
- Participants
- 8
- Channels
- 58 (10-10)
- Size
- 2.69 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002680
Go-nogo categorization and detection task
EEG[
- Size
- 9.22 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000265
Guttmann-Flury et al. 2025 (Motor Imagery) — Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms
EEGA multimodal neuroimaging dataset combining EEG and eye-tracking recordings from 31 healthy participants performing motor imagery tasks. The dataset comprises 2,520 trials across 63 sessions, with participants imagining left and right hand movements in response to visual cues. Recorded at 1000 Hz using a 64-channel Neuroscan system, this dataset supports brain-computer interface research and motor imagery analysis.
- Participants
- 31
- Channels
- 62 (10-10)
- Citations
- 8
- HED
- v8.4.0
- Size
- 9.22 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on006394
Electrophysiological markers of surprise-induced failures of visual and auditory awareness
BEH EEG[
- Size
- 521 MB
- 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
- on004745
8-Channel SSVEP EEG Dataset with Artifact Trials
EEGImported from OpenNeuro ds004745
- Participants
- 6
- Channels
- 8 (other)
- Citations
- 26
- Size
- 242 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004840
Dataset of electrophysiological signals (EEG, ECG, EMG) during Music therapy with adult burn patients in the Intensive Care Unit.
EEGThis dataset comprises electrophysiological recordings (EEG, ECG, EMG) collected from 9 adult burn patients in an intensive care unit during Music-Assisted Relaxation therapy sessions. As part of a randomized clinical trial (NCT04571255), participants underwent two recording sessions with pre-intervention baseline, intervention, and post-intervention phases. The study investigates the physiological effects of music therapy on pain perception and anxiety-depression levels in critically ill burn patients using clinical-grade equipment with standardized electrode montages.
- Participants
- 9
- Channels
- 8
- Size
- 1.75 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000153
Langer et al. 2017 — Multimodal Resource for Studying Information Processing in the Developing Brain (MIPDB)
EEG…2017):** resting state, surround suppression, naturalistic viewing, contrast-change detection, sequence learning…
- Size
- 110 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026