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The Ear-EEG Sleep Monitoring 2017 (EESM17) dataset comprises nightly polysomnographic recordings from 9 healthy participants, combining conventional EEG, EOG, and chin EMG with 14 ear-EEG electrodes. The dataset includes both wake-state recordings (subjects relaxing before sleep) and sleep-state recordings (overnight monitoring at participants' homes), with sleep scoring initiated at lights out. This resource enables investigation of ear-based EEG for sleep monitoring applications.

Participants

9

Channels

34 (other)

Citations

95

Size

12.3 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises overnight sleep EEG recordings from 20 healthy participants, collected in spring 2017 as part of a wearable sleep monitoring study at the Surrey Clinical Research Centre. Recordings include full polysomnography (PSG) and around-the-ear cEEGrid measurements, with most subjects having both modalities recorded on the same night. The dataset supports comparison between conventional PSG and wearable cEEGrid sleep staging approaches.

Participants

20

Channels

6 (other)

Citations

94

Size

69.1 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises repeated-awakening EEG recordings collected during propofol sedation, designed to explore dream experiences and consciousness dynamics under anesthesia. EEG data were acquired across wakefulness (eyes open/closed) and multiple sedation and awakening conditions, including sessions with transcranial magnetic stimulation. The study aims to evaluate whether EEG complexity measures can capture subjective dream reports elicited through repeated awakenings during propofol-induced sedation.

Participants

21

Channels

65 (10-10)

Citations

23

Size

77.3 GB

Version

v1.0.0

Updated

Aug 19, 2026