Discover datasets

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

This dataset comprises intracranial EEG (iEEG) recordings collected during non-REM sleep from patients undergoing clinical evaluation for epilepsy surgery. The data were acquired across multiple institutions and are part of a broader study modeling high-frequency activity (HFA) in the human brain. This dataset represents part 3 of a comprehensive iEEG HFA modeling project.

Participants

103

Size

32.6 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises intracranial EEG (iEEG) recordings acquired during non-REM sleep from patients undergoing epilepsy monitoring across multiple clinical sites. The data were collected to support a comprehensive model of high-frequency activity (HFA) reported in Hatano et al. (in press). It is part one of a larger multi-part dataset release.

Participants

65

Size

33.8 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises EEG, pupillometry, and behavioral data from 28 healthy adult participants who underwent an auditory fear conditioning paradigm consisting of Pre-Conditioning, Conditioning, and Extinction phases. During the task, participants localized the spatial origin of voices differing in amplitude modulation while some voice stimuli were paired with an aversive white noise unconditioned stimulus. The dataset supports investigation of the neural, autonomic, and behavioral correlates of fear learning and extinction.

Participants

28

Channels

68 (10-10)

Size

21.6 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises long-term intracranial EEG (iEEG) recordings from 8 epilepsy patients implanted with responsive neurostimulation (RNS) devices, recorded from bilateral epileptic lesion areas over periods exceeding six months. Each recording captures dual-channel iEEG activity around electrical stimulation events, including pre- and post-stimulation periods, with associated stimulation parameters and event markers. The dataset is intended to support analysis of seizure onset pattern alterations during epilepsy progression and iEEG characteristic changes following electrical stimulation.

Participants

8

Citations

1

Size

498 MB

Version

v1.0.0

Updated

Aug 19, 2026