Discover datasets

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

This dataset comprises EEG recordings from 84 healthy participants performing motor imagery tasks across multiple paradigms (Graz motor imagery, SSMVEP-MI, and hybrid video/SSVideo paradigms) in two distinct recording environments: a controlled electromagnetically shielded laboratory and a simulated multi-sensory hospital setting. A supplementary dataset from 3 participants recorded in a space station environment is also included, extending the study to microgravity conditions. The dataset is intended to support research on cross-environment robustness, cross-subject decoding, and benchmarking of EEG-based brain-computer interface algorithms.

Participants

84

Channels

69 (10-10)

Citations

2

Size

144 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset comprises simultaneous EEG-fMRI recordings from 24 healthy adults performing a sustained attention task (GradCPT) and a resting-state task with intermittent multi-dimensional experience sampling, collected across two sessions per participant. It includes behavioral responses, experience sampling ratings across 13 dimensions of thought, and mental health survey data, enabling study of the neural correlates of attentional fluctuations, mind-wandering, and the reliability of EEG-fMRI relationships across sessions.

Participants

24

Channels

31 (10-10)

Citations

1

Size

115 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains EEG recordings from 100 healthy adult participants collected to investigate hemispheric asymmetries related to N1 lateralization and alpha asymmetry. Recordings include an eight-minute resting state period with alternating eyes-open and eyes-closed segments, followed by four lateralized go/no-go tasks (words, faces, emotions, houses) requiring hand-specific responses to target stimuli. The dataset supports research on lateralized cognitive and perceptual processing in the EEG.

Participants

100

Channels

32 (10-10)

Size

11.0 GB

Version

v1.0.0

Updated

Aug 19, 2026