Discover datasets

This dataset comprises resting-state EEG recordings from 71 participants who underwent two sessions of normal sleep and sleep deprivation, with the session order counterbalanced across participants. In addition to EEG data (eyes open and partially eyes closed), the dataset includes measures of participants' sleepiness and mood states, enabling investigation of sleep deprivation effects on brain activity and psychological state.

Participants

71

Channels

61 (10-10)

Citations

41

Size

8.29 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises raw 64-channel EEG, ECG, PPG, and behavioral data collected from 30 healthy young adults during resting-state and verbal working memory tasks. Participants completed a digit-span serial recall task under four stimulus presentation modes (simultaneous, fast, fast+delay, and slow sequential), enabling investigation of neural and physiological correlates of encoding, maintenance, and retrieval. The dataset supports research on working memory load classification and the relationship between oscillatory brain activity, autonomic signals, and behavioral performance.

Participants

30

Channels

63 (10-10)

Citations

5

Size

41.4 GB

Version

v1.0.0

Updated

Aug 19, 2026

A resting-state EEG dataset comprising 149 subjects (100 with Parkinson's disease and 49 healthy controls) recorded using a 64-channel BrainVision system. Participants were seated in a quiet environment with eyes open for two minutes of continuous recording. This dataset provides neurophysiological data suitable for investigating oscillatory brain activity and potential biomarkers associated with Parkinson's disease.

Participants

149

Channels

63 (10-10)

Citations

14

Size

2.87 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises multimodal physiological recordings from 86 participants during resting state and a digit span working memory task. It includes 64-channel EEG, electrocardiography, photoplethysmography, pupillometry, and behavioral performance data. The dataset enables investigation of neural and peripheral physiological correlates of cognitive load, working memory capacity, and cognitive overload detection across fine temporal scales.

Participants

86

Channels

63 (10-10)

Citations

61

Size

253 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises resting-state and loudness dependence of auditory evoked potentials (LDAEP) EEG recordings from 69 healthy women aged 19-40, collected at the University of Oslo. It was assembled to investigate the relationship between hormonal contraceptive use and central serotonergic activity as indexed by LDAEP. In addition to EEG data, the dataset includes phenotype data on hormonal contraceptive use, menstrual cycle phase, depressive symptoms (BDI-II), impulsivity (UPPS-P), and lifestyle factors.

Participants

69

Channels

64 (10-10)

Citations

1

Size

34.6 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains resting-state EEG recordings collected using a 128-channel Amps 300 amplifier at the University of Oklahoma, alongside structural MRI scans acquired from the same participants. The data support investigation of whole-brain electrophysiological functional connectivity dynamics during resting-state conditions.

Participants

34

Channels

128 (other)

Size

3.00 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from a picture-word interference (PWI) naming study conducted at San Diego State University's NeuroCognition Laboratory. Participants named line drawings of objects preceded by semantically related, identity-related, or unrelated English distractor words, while 32-channel EEG and vocal responses were recorded. The dataset supports investigation of lexical-semantic access and word retrieval processes during picture naming.

Participants

29

Channels

32 (10-10)

Size

2.28 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings collected to characterize visual fatigue induced by mixed reality stereo vision. Participants viewed resting and movement scenes designed to elicit varying degrees of visual fatigue while EEG was recorded from 24 scalp electrodes. The dataset supports both resting-state and task-state EEG analyses related to fatigue characterization under stereoscopic visual stimulation.

Participants

23

Channels

64 (10-10)

Size

21.3 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises intracranial EEG (iEEG) recordings acquired during non-REM sleep from patients undergoing epilepsy monitoring across multiple clinical sites. The data were collected to support a comprehensive model of high-frequency activity (HFA) reported in Hatano et al. (in press). It is part one of a larger multi-part dataset release.

Participants

65

Size

33.8 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises intracranial EEG recordings obtained during non-REM sleep from patients undergoing clinical epilepsy monitoring. The data were collected to investigate high-frequency activity (HFA) and support a comprehensive model of cortical function, as described in Hatano et al. (in press). This dataset represents part 2 of a larger collection.

Participants

65

Size

33.0 GB

Version

v1.0.0

Updated

Aug 19, 2026