Discover datasets

This dataset comprises EEG recordings from 116 individuals with Parkinson's disease (PD) and 28 healthy controls, collected at the Neurology Institute, Tel Aviv Sourasky Medical Center. Recordings were obtained during resting-state (eyes open, sitting) and treadmill walking conditions, accompanied by clinical measures including MoCA, MDS-UPDRS, LEDD, and CTT scores. The dataset aims to support research into neurophysiological subtypes and gait-related cognitive-motor interactions in Parkinson's disease.

Participants

144

Channels

65 (10-10)

Citations

4

Size

4.26 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains scalp EEG recordings from healthy adult participants collected during a one-hour session involving either 40 Hz audiovisual flicker stimulation, no flicker (control), or randomized flicker (sham) conditions. Throughout the recording session, participants performed a psychomotor vigilance task (PVT), enabling investigation of the effects of rhythmic sensory stimulation on vigilance and neural activity.

Participants

69

Channels

32 (10-10)

Size

14.8 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains behavioural and EEG hyperscanning data collected from 32 pairs of participants performing a musical joint action task. The data were collected to examine cognitive and neural signals underlying the sense of joint agency during synchronized musical performance. Each pair's data includes behavioural ratings and synchronization measures alongside dual-participant 64-channel EEG recordings in BrainVision format.

Participants

32

Citations

2

Size

8.06 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains raw EEG and behavioral data collected to investigate the common neural mechanisms underlying subjective experiences of passage of time. Participants completed behavioral tasks assessing subjective time perception while EEG was recorded. The data are organized in BIDS format to facilitate reuse and reanalysis by the neuroscience community.

Participants

42

Channels

63 (10-10)

Size

29.6 GB

Version

v1.0.0

Updated

Aug 18, 2026

This EEG dataset investigates how diffuse (categorical) predictions about stimulus orientation shape neural representations during memory encoding. Participants performed an orientation working-memory task in which a central color cue indicated whether an upcoming grating's orientation was drawn from a predictable 90° range or was fully unpredictable, and later judged whether a probe was rotated clockwise or counterclockwise relative to the memorized orientation. The study examines how predictive information stabilizes and reshapes neural codes for encoded visual features.

Participants

47

Channels

66 (10-10)

Size

145 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset comprises EEG recordings collected as part of a study developing a methodology for sample enrichment in EEG biomarker research for Alzheimer's disease risk classification. It aims to support the identification of electrophysiological biomarkers relevant to Alzheimer's risk stratification. The dataset was generated at Universidad de Antioquia and is intended for use in biomarker discovery and validation studies.

Participants

44

Channels

58 (10-10)

Citations

2

Size

13.6 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains EEG recordings from ten participants exposed to six marketing video stimuli from three companies (Red Bull, GoPro, and Columbia Sportswear). Videos were categorized as either traditional product-focused advertisements or extreme, authentic documentary-style content, enabling investigation of consumer neural responses to different marketing strategies. The dataset supports research in neuromarketing and consumer neuroscience.

Participants

10

Channels

14 (10-10)

Citations

1

Size

25.8 MB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset is a subset of a large-scale EEG data collection effort conducted in field settings across India and Tanzania, involving thousands of participants including diverse populations such as Hadzabe hunter-gatherers and office workers. EEG recordings are accompanied by metadata such as age, sex, income, and Mental Health Quotient (MHQ) score. The dataset demonstrates the feasibility of high-quality, low-cost EEG data collection by nonspecialists outside controlled laboratory environments, with applications for large-scale neurophysiological research in low- and middle-income countries.

Participants

2000

Channels

50 (other)

Citations

4

Size

16.1 GB

Version

v1.0.0

Updated

Aug 18, 2026

HAD-MEEG is a magnetoencephalography (MEG) and electroencephalography (EEG) dataset recorded from 30 participants viewing 21,600 video clips spanning 180 categories of human action, extending the previously released Human Action Dataset (HAD) fMRI resource. It was collected in the same participants and with the same stimuli as HAD-fMRI to enable combined spatiotemporal investigation of neural mechanisms underlying human action recognition. The dataset leverages the millisecond-level temporal resolution of M/EEG to complement the spatial precision of fMRI.

Participants

32

Channels

62 (10-10)

Citations

5

Size

221 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset comprises EEG recordings collected from patients undergoing stereotactic focused ultrasound mesencephalotomy, a neurosurgical intervention for treating intractable head and neck cancer pain. The dataset aims to support research into the neurophysiological effects and outcomes of this pain-relief procedure. Data were organized according to the BIDS standard to facilitate reuse and reproducibility in neuroscience and pain research.

Participants

5

Channels

50 (other)

Size

1.65 GB

Version

v1.0.0

Updated

Aug 18, 2026