on004122
BCIT Speed Control
EEG
…Fatigue Scale (TIFS), Karolinska Sleepiness Scale (KSS), Visual Analog Scale of Fatigue…
- Participants
- 32
- Citations
- 31
- HED
- v8.0.0
- Size
- 36.2 GB
- Version
- v1.0.0
- Updated
- Jun 23, 2026
Discover datasets
100 results for "large-scale neuroimaging" · page 10 of 10 · ranked by relevance
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- on004504
A dataset of EEG recordings from: Alzheimer's disease, Frontotemporal dementia and Healthy subjects
EEGThis dataset comprises resting-state, eyes-closed scalp EEG recordings from 88 subjects: 36 with Alzheimer's disease, 23 with Frontotemporal Dementia, and 29 healthy controls. Recordings were acquired using a Nihon Kohden EEG 2100 device with 19 electrodes at 500 Hz sampling rate, totaling approximately 1164 minutes of data. The dataset includes both raw and preprocessed versions with artifact correction, supporting machine learning and clinical research in dementia diagnosis and neurophysiological characterization.
- Participants
- 88
- Citations
- 188
- Size
- 5.38 GB
- Version
- v1.0.0
- Updated
- Jun 20, 2026
- on005872
EEGEyeNet Dataset
EEG[
EEG…10.13026/0byy-ry86), the largest public P300 BCI dataset, and is…
- Participants
- 13
- HED
- v8.4.0
- Size
- 868 MB
- Version
- v1.0.1
- Updated
- Jun 23, 2026
- nm000224
Imagined speech EEG dataset — short and long words (Nguyen et al. 2017)
EEGThis dataset comprises preprocessed EEG recordings from 6 healthy participants performing imagined speech discrimination tasks between short and long words ('cooperate' vs 'in'). Data were acquired at 256 Hz using 64 EEG channels with standard preprocessing including bandpass filtering (8-70 Hz), notch filtering (60 Hz), and artifact removal. The dataset contains 1,200 trials analyzed using Riemannian manifold and relevance vector machine approaches for brain-computer interface applications, achieving mean classification accuracy of 73.3±8.9%.
- Participants
- 6
- HED
- v8.4.0
- Size
- 236 MB
- Version
- v1.0.1
- Updated
- Jun 23, 2026