on005505
Healthy Brain Network (HBN) EEG - Release 1
EEG
Imported from OpenNeuro ds005505
- Participants
- 136
- Channels
- 129 (egi-geodesic)
- Citations
- 6
- HED
- v8.3.0
- Size
- 103 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
Showing 10 of 673 datasets · page 67 of 68
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- on007175
FFR-active-listening
EEGImported from OpenNeuro ds007175
- Participants
- 1
- Channels
- 64 (10-10)
- Size
- 226 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007180
Exo-EEG Experiment
EEGImported from OpenNeuro ds007180
- Participants
- 25
- Channels
- 63 (10-10)
- Citations
- 2
- Size
- 14.7 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007181
Structural MRI, Resting-state fMRI, and PSG/EEG Dataset of Zoster-associated Neuralgia
ANAT EEG FUNCImported from OpenNeuro ds007181
- Participants
- 66
- Channels
- 19 (other)
- Size
- 59.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007262
Cognitive Workload 8-level arithmetic
EEGImported from OpenNeuro ds007262
- Participants
- 20
- Channels
- 19 (10-20)
- Citations
- 1
- Size
- 1.92 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000115
Zhou2016
EEG Zarr verified- Participants
- 4
- Channels
- 14 (10-10)
- Citations
- 82
- Size
- 152 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000114
MDD Patients and Healthy Controls EEG Data
EEG Zarr verified- Participants
- 64
- Channels
- 22 (10-20)
- Citations
- 163
- Size
- 812 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000113
2020 BCI competition, track 3
EEG Zarr verified- Participants
- 15
- Channels
- 64 (10-10)
- Size
- 585 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000112
FACED - Finer-grained Affective Computing EEG Dataset
EEG Zarr verified- Participants
- 123
- Channels
- 32 (10-10)
- Citations
- 97
- Size
- 31.4 GB
- Version
- v1.1.3
- Updated
- Jul 10, 2026
- nm000111
ISRUC-Sleep: A comprehensive public dataset for sleep researchers.
EEGISRUC-Sleep is a comprehensive polysomnographic dataset comprising overnight recordings from 118 participants with manual sleep stage annotations. The dataset includes EEG, EOG, EMG, and respiratory signals scored by expert raters into wake and sleep stages (N1, N2, N3, REM) in 30-second epochs following AASM/R&K guidelines. This resource supports research in automatic sleep staging algorithms and sleep-disordered breathing characterization.
- Participants
- 118
- Channels
- 19 (other)
- Citations
- 87
- Size
- 17.4 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026