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A 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

Participants

24

Channels

64 (10-10)

Citations

50

Size

26.4 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises 128-channel EEG recordings from 98 participants recruited from the COVIDOM/NAPKON-POP cohort, all with a history of confirmed SARS-CoV-2 infection. The study investigates neurophysiological correlates of Post-COVID-19 condition, focusing on self-reported cognitive symptoms, fatigue, anxiety, depression, and sleep quality. Participants underwent EEG recording during resting-state and cognitive tasks including a Psychomotor Vigilance Task, alongside standardized questionnaires (FACIT-Fatigue, HADS, PSQI) and neuropsychological testing.

Participants

97

Channels

128 (other)

Citations

1

Size

21.7 GB

Version

v1.0.0

Updated

Aug 18, 2026

…AT, Oyarzo P, Zonneveld AW, Sartzetaki C, Groen IIA, Cichy RM. 2026…

Participants

6

Size

210 GB

Version

v1.0.0

Updated

Sep 8, 2026

This dataset comprises electroencephalography (EEG) recordings from 50 healthy control participants performing a reinforcement learning task under two mood conditions: sad mood manipulation (n=25) and neutral mood manipulation (n=25). The task included training and testing phases adapted from established reinforcement learning paradigms. Data were collected between 2019-2021 at the Cognitive Rhythms and Computation Lab at the University of New Mexico to investigate the effects of mood state on learning and decision-making processes.

Participants

50

Channels

66 (10-10)

Citations

1

Size

9.81 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises fMRI, EEG, ECG, and behavioural data from a study examining how Targeted Memory Reactivation (TMR) during REM sleep affects emotional reactivity to affective images. Participants rated arousal of affective image-sound pairs, with a subset of sounds cued during subsequent REM sleep, and their responses were assessed via heart rate deceleration, fMRI scanning, and follow-up ratings over multiple sessions. The study aims to elucidate mechanisms underlying memory-based depotentiation of emotional reactivity.

Participants

18

Channels

10 (10-20)

Size

6.47 GB

Version

v1.0.0

Updated

Aug 19, 2026