Discover datasets

This dataset contains EEG recordings from participants performing a novel instruction-following task and an accompanying 1-back localizer task, designed to investigate how complex task instructions are represented and implemented in the brain. Each participant completed a single session including 16 blocks of the main instruction-following task, requiring integration or selection of visual features across sequential instruction screens, and 8 blocks of a localizer task. The dataset is intended to support research on instruction-based cognitive control and rule representation.

Participants

41

Channels

63 (10-10)

Citations

5

Size

57.7 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from 23 participants performing a passive viewing task involving partially occluded and uncovered visual scenes containing varying numbers of game pieces. The study investigates how the brain processes numerosity information under conditions of occlusion and disocclusion. Participants viewed scenes with 4 or 32 initially visible game pieces, followed by uncovering to reveal different numbers of additional pieces, across 640 trials.

Participants

23

Channels

60 (10-10)

Size

28.7 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises simultaneous EEG, fMRI, and diffusion-weighted imaging (DWI) recordings from 28 healthy adults performing a sustained attention gradual-onset continuous performance task (gradCPT), along with resting-state, checkerboard, and imagery task data. The dataset supports multimodal investigation of sustained attention and its neural correlates using combined electrophysiological, hemodynamic, and structural connectivity measures.

Participants

28

Channels

63

Citations

1

Size

680 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains raw EEG data from a study investigating real-time, personalized brain state-dependent transcranial magnetic stimulation (TMS) in healthy adults. The research demonstrates that personalized whole-brain activity patterns can predict human corticospinal tract activation in real-time, with potential applications for brain stimulation therapies. Data includes EEG recordings collected during TMS-guided brain state-dependent stimulation protocols, where TMS serves as the intervention guided by real-time EEG decoding.

Participants

19

Channels

70 (10-10)

Citations

12

Size

88.7 GB

Version

v1.0.0

Updated

Jul 10, 2026

…multi-source interference task (MSIT) and Sternberg’s memory task * Blood tests…

Participants

79

Citations

36

Size

240 GB

Version

v1.0.0

Updated

Aug 19, 2026

This magnetoencephalography (MEG) dataset investigates neural object representations during dynamic visual occlusion. Participants viewed objects that were either occluded or disappeared while their neural activity and eye movements were recorded. The dataset includes raw MEG data, behavioral responses, eye-tracking recordings, and preprocessed neural signals epoched relative to stimulus onset and position changes, enabling investigation of how the brain maintains object representations under conditions of visual disruption.

Participants

27

Size

258 GB

Version

v1.0.0

Updated

Jul 10, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006768-blue…

Participants

30

Size

11.1 GB

Version

v1.0.0

Updated

Aug 19, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004398-blue…

Participants

1

Citations

2

Size

1.28 GB

Version

v1.0.0

Updated

Jul 10, 2026

…Heart rate and breathing effects on attention and memory (HeartBEAM): Study protocol…

Participants

66

Citations

2

Size

117 GB

Version

v1.0.0

Updated

Jul 10, 2026

…memory (Picture Sequence Memory Task), and working memory (List Sorting Working Memory…

Participants

251

Citations

29

Size

633 GB

Version

v1.0.0

Updated

Jul 10, 2026