Discover datasets

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

This dataset is a BIDS-standardized version of simultaneously collected EEG and eye-tracking data from one subject, derived from the larger EEGEyeNet dataset. It provides a resource for studying the relationship between neural activity and eye movements, supporting benchmarking of eye movement prediction models. The data were originally collected as part of a study approved by the Institutional Review Board of Canton Zurich.

Participants

1

Channels

129 (egi-geodesic)

Citations

8

Size

45.0 MB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains EEG recordings from an auditory oddball paradigm designed to investigate how personalized smartphone notification sounds bias auditory salience processing at different neural processing stages. The study examines attentional and perceptual effects of self-relevant notification stimuli compared to standard oddball tones. This resource enables analysis of event-related potentials associated with salience detection and personalized auditory cues.

Participants

57

Channels

64 (10-10)

Size

42.5 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset comprises EEG recordings from two individuals with chronic post-stroke anomia who underwent an 8-week individualized transcranial alternating current stimulation (tACS) intervention. Using a single-case ABAB experimental design, EEG was recorded during picture naming tasks across alternating stimulation and non-stimulation phases and at follow-up sessions. The study aims to determine whether tACS, guided by individual EEG profiles, improves naming accuracy and latency and whether these effects persist after intervention.

Participants

2

Channels

32 (10-10)

Size

1.09 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset comprises EEG and biomechanical recordings from fifteen healthy young adults who walked on a treadmill at four different speeds (0.4, 0.8, 1.2, and 1.6 m/s) and while standing stationary, viewing a static projected scene through liquid crystal lenses that generated intermittent visual occlusions. The study aimed to characterize neurophysiological responses to visual occlusion during walking at varying gait speeds using 120-channel EEG, EMG, ground reaction force, and IMU data. This resource supports research into visual-motor integration and cortical dynamics of gait.

Participants

15

Channels

120 (other)

Size

3.31 GB

Version

v1.0.0

Updated

Aug 18, 2026