on005178
Ear-EEG Sleep Monitoring 2023 (EESM23)
EEG
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005178-blue…
- Participants
- 10
- Citations
- 1
- Size
- 88.6 GB
- Version
- v1.0.0
- Updated
- Jun 26, 2026
Discover datasets
10 results for "polysomnography" · 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
- Citations
- 95
- Size
- 12.1 GB
- Version
- v1.0.0
- Updated
- Jun 24, 2026
- on005207
Surrey cEEGrid sleep data set
EEG…Some recordings are full polysomnography (PSG) measurements, others are cEEGrid measurements. Most…
- Participants
- 20
- Citations
- 94
- Size
- 69.1 GB
- Version
- v1.0.0
- Updated
- Jun 26, 2026
- on005555
The Bitbrain Open Access Sleep (BOAS) dataset
EEG[ 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
- Citations
- 87
- Size
- 34.7 GB
- Version
- v1.0.1
- Updated
- Jun 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
- Citations
- 92
- Size
- 401 GB
- Version
- v1.1.0
- Updated
- Jun 3, 2026
- on005530
Depotentiation of emotional reactivity using TMR during REM sleep
ANAT BEH EEG FMAP FUNC…oximetry during the fMRI session3 - **Polysomnography**: Recorded using ten electrodes including 6…
- Participants
- 18
- Size
- 6.47 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- on005185
Ear-EEG Sleep Monitoring 2019 (EESM19)
BEH EEGThe Ear-EEG Sleep Monitoring 2019 (EESM19) dataset comprises polysomnographic and ear-EEG recordings collected from 20 subjects over multiple nights in home settings between 2018 and 2020. The dataset includes concurrent measurements from partial PSG (EEG, EOG, chin EMG), ear-EEG electrodes, wrist-worn actigraphy, and subjective sleep quality assessments. This resource supports the development and validation of ear-EEG as a practical sleep monitoring platform.
- Participants
- 20
- Citations
- 1
- Size
- 775 GB
- Version
- v1.0.0
- Updated
- Jun 26, 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
- 17
- Size
- 86.5 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
- on004902
A Resting-state EEG Dataset for Sleep Deprivation
BEH EEGA resting-state EEG dataset comprising 71 participants recorded during normal sleep and sleep deprivation conditions. The dataset includes eyes-open and partially eyes-closed EEG recordings collected between March 2019 and December 2020, along with concurrent measurements of sleepiness and mood states. This resource enables investigation of neurophysiological changes associated with sleep deprivation and their relationship to subjective alertness and affective states.
- Participants
- 71
- Citations
- 7
- Size
- 8.29 GB
- Version
- v1.0.0
- Updated
- Jun 25, 2026