Discover datasets

This dataset comprises resting-state and loudness dependence of auditory evoked potentials (LDAEP) EEG recordings from 69 healthy women (ages 19-40 years) acquired at the University of Oslo. The study investigates the relationship between hormonal contraceptive use and central serotonergic activity indexed by LDAEP. Data include 64-channel EEG recordings at 2048 Hz sampling rate, alongside comprehensive phenotypic data on hormonal contraceptive use, menstrual cycle phase, depressive symptoms, impulsivity, and lifestyle factors.

Participants

69

Channels

64 (10-10)

Size

34.6 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises resting-state EEG recordings from 51 right-handed undergraduate participants collected to investigate the relationship between resting-state EEG alpha/theta power, oscillatory dynamics, and trait anxiety. Participants completed a 4-minute alternating eyes-open and eyes-closed protocol while 256-channel EEG was recorded at 500 Hz. The dataset includes raw EEG data and phenotypic measures from standardized anxiety and personality questionnaires (STAI, TIPI, BIS/FFFS).

Participants

51

Channels

256 (egi-geodesic)

Size

14.0 GB

Version

vv1.0.0

Updated

Jul 10, 2026

The EPOC dataset comprises electroencephalography (EEG) recordings and cognitive/behavioral assessments from 98 participants recruited from the COVIDOM/NAPKON-POP longitudinal study to investigate neurophysiological correlates of post-COVID-19 syndrome. Participants completed a single laboratory session including the Trail Making Test, a battery of computerized cognitive tasks (n-back, psychomotor vigilance task, Montreal Cognitive Assessment), resting-state EEG recording, and self-report questionnaires assessing fatigue, anxiety, depression, and sleep quality. The study stratified participants based on self-reported cognitive symptoms to examine potential neurophysiological differences associated with post-COVID-19 symptomatology.

Participants

97

Channels

128 (other)

Size

21.6 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings and concurrent vocal audio from participants performing an overt speech production task. Participants vocalized visually presented text while EEG activity was recorded, providing multimodal neuroimaging data for brain decoding research. The dataset includes raw EEG data in EDF format and behavioral recordings of vocal output, organized according to BIDS conventions with preprocessing code and derivatives.

Participants

3

Channels

128 (other)

Size

49.6 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises 128-channel EEG recordings acquired during speech production tasks involving overt, minimally overt, and covert speech conditions. Participants produced one of five color words with each trial consisting of five repetitions. The dataset includes calibration and online real-time decoding sessions, along with supplementary physiological recordings (EOG, EMG, microphone) and trigger markers, designed to investigate neural contributions to EEG-based speech decoding.

Participants

3

Channels

128 (other)

Size

1.62 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from a pre/post intervention study investigating neural activity changes across multiple participant groups. The data are organized according to the Brain Imaging Data Structure (BIDS) specification and include pre-intervention and post-intervention sessions for each participant, enabling comparative analysis of intervention effects on electrophysiological measures.

Participants

67

Channels

19 (10-20)

Size

685 MB

Version

vv1.0.0

Updated

Jul 10, 2026

A multimodal neurophysiological dataset acquired from 30 healthy adults performing a hierarchy of cognitive, motor, and combined cognitive-motor tasks. The dataset includes concurrent EEG, functional near-infrared spectroscopy (fNIRS), electrocardiography, electromyography, and behavioral measures across three sessions. This resource enables investigation of brain-behavior relationships during isolated and integrated cognitive-motor processing.

Participants

30

Channels

32 (10-10)

Size

4.20 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This multimodal dataset comprises simultaneous electroencephalography (EEG), eye-tracking, photoplethysmography (PPG), and galvanic skin response (GSR) recordings from 23 healthy adult participants during two experimental conditions: naturalistic smartphone interaction and standardized video viewing. Hardware-based TTL synchronization enables precise temporal alignment across all physiological modalities, facilitating investigation of neural and physiological responses to digital device interaction.

Participants

23

Channels

64 (10-10)

Size

6.12 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises 64-channel EEG recordings from 116 Parkinson's disease patients and 28 healthy controls acquired during resting state (sitting, eyes open) and treadmill walking conditions. Each participant underwent approximately 4 minutes of EEG recording under both behavioral conditions, with accompanying clinical assessments including MDS-UPDRS, MoCA, and medication dosage data. The dataset was collected at the Neurology Institute, Tel Aviv Sourasky Medical Center, and is organized according to BIDS specifications.

Participants

144

Channels

65 (10-10)

Size

4.26 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises scalp electroencephalography (EEG) recordings from healthy adult participants during a one-hour psychomotor vigilance task under three stimulation conditions: 40 Hz audiovisual flicker, no flicker control, and randomized flicker sham stimulation. The study investigates the effects of flickering audiovisual stimulation on sustained attention and vigilance performance.

Participants

69

Channels

32 (10-10)

Size

14.8 GB

Version

vv1.0.0

Updated

Jul 10, 2026