on005178
Ear-EEG Sleep Monitoring 2023 (EESM23)
EEG
[
- Citations
- 2
- Size
- 88.6 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
Discover datasets
60 results for "Polysomnography" · page 1 of 6 · ranked by relevance
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- on004348
Ear-EEG Sleep Monitoring 2017 (EESM17)
EEG…The recordings consist of 'partial polysomnography' (PSG) measurements, including EEG, EOG and…
- Participants
- 9
- Channels
- 34 (other)
- Citations
- 95
- Size
- 12.3 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005207
Surrey cEEGrid sleep data set
EEG…Some recordings are full polysomnography (PSG) measurements, others are cEEGrid measurements. Most…
- Participants
- 20
- Channels
- 6 (other)
- Citations
- 94
- Size
- 69.1 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006695
Validation of Sleep Staging with Forehead EEG Patch
EEG…Validation of spectral sleep scoring with polysomnography using forehead EEG device. Frontiers…
- Participants
- 19
- Channels
- 3 (other)
- Citations
- 6
- Size
- 9.36 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on005185
Ear-EEG Sleep Monitoring 2019 (EESM19)
BEH EEG[ dataset
EEG[
- Size
- 6.47 GB
- Version
- v1.0.0
- Updated
- Aug 19, 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
- nm000225
PhysioNet 2018 Challenge: Sleep Arousal Detection PSG (Training)
EEGA polysomnographic dataset comprising 1,983 overnight sleep recordings from Massachusetts General Hospital, including 994 training subjects with expert annotations and 989 test subjects. The dataset was created for the PhysioNet/Computing in Cardiology Challenge 2018 and contains 13 channels of physiological signals (EEG, EOG, EMG, respiratory, SpO2, ECG) sampled at 200 Hz, with annotations for sleep stages, respiratory events, and arousal types in the training set.
- Participants
- 1983
- Channels
- 6 (other)
- Citations
- 91
- Size
- 401 GB
- Version
- v1.1.0
- Updated
- Jul 10, 2026
- on003768
Simultaneous EEG and fMRI signals during sleep from humans
ANAT EEG FUNCThis dataset comprises simultaneous EEG and fMRI recordings from 33 healthy human participants during sleep and wakefulness. The study captures coordinated electrophysiological and hemodynamic signals using a 32-channel MR-compatible EEG system synchronized with BOLD fMRI acquisition. The experimental protocol includes anatomical imaging, resting-state sessions before and after a visual-motor adaptation task, and multiple sleep sessions with corresponding sleep stage annotations. EEG signals provide direct measures of electrophysiological activity and sleep stage information, while fMRI captures hemodynamic responses, enabling investigation of the relationship between neural activity during sleep-wake transitions.
- Participants
- 33
- Citations
- 16
- Size
- 86.5 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026