Discover datasets

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

This multimodal dataset comprises EEG, ECG, and pupillometry recordings from participants performing an n-back working memory task at four difficulty levels (1-back through 4-back). Data were collected using a combined mobile EEG+ECG system synchronized with a Pupil Labs eye tracker via Lab Streaming Layer, and converted from raw XDF recordings into BIDS format. The dataset is intended to support research on cognitive workload assessment across multiple physiological modalities.

Participants

18

Channels

19 (10-20)

Size

2.13 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from 34 participants collected to investigate the adaptive recruitment of cortex-wide recurrent processing during visual object recognition. Participants viewed a stimulus set of 242 images, comprising 'challenge' and 'control' images selected based on discrepancies between human behavioral performance and AlexNet classification, while performing a rapid serial visual presentation task with a paper-clip detection component. The dataset includes derivatives with time-resolved decoding accuracy matrices for object identity, supporting analyses of recurrent cortical dynamics in visual processing.

Participants

34

Channels

63 (10-10)

Citations

1

Size

61.2 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