Discover datasets

This dataset comprises resting-state electroencephalography (EEG) recordings from 111 healthy control subjects acquired using a BioSemi ActiveTwo system with 64 electrodes. Subjects were recorded during four minutes of continuous EEG with eyes closed, with some subjects undergoing repeat recordings at a later timepoint. The dataset includes both raw EEG data rereferenced to average reference and a derived cleaned dataset preprocessed with an automated pipeline, along with demographic and cognitive test data.

Participants

111

Channels

64 (10-10)

Citations

35

Size

20.7 GB

Version

v1.0.0

Updated

Jul 10, 2026

…82901/nemar.on003523) Visual working memory in control & sub-acute mild TBI…

Participants

91

Channels

65 (10-10)

Size

37.5 GB

Version

v1.0.0

Updated

Sep 14, 2026

This dataset comprises neuroimaging data from a logical reasoning study conducted by the Cognitive and Computational Neuroscience Laboratory. The study investigates neural correlates of logical reasoning processes through multimodal brain imaging. Data were collected and organized according to BIDS standards for reproducibility and accessibility. This dataset is a NEMAR mirror of the OpenNeuro dataset ds003483.

Participants

21

Size

68.3 GB

Version

v1.0.0

Updated

Jul 10, 2026

…cognitive conditions, such as creativity, memory, and critical thinking. To assess cognitive…

Participants

15

Channels

14 (other)

Size

1.17 GB

Version

v1.0.0

Updated

Sep 8, 2026

This dataset combines high-density electroencephalography (128-channel HD-EEG) and mouse-tracking to examine dynamic decision-making processes in the human brain. Collected from 31 adults (ages 18-33), it includes resting-state and task-related EEG data acquired during food preference choices and semantic judgment tasks. The resource provides both raw and preprocessed EEG data with synchronized behavioral measures, enabling investigation of neural correlates underlying binary choice decisions.

Participants

31

Channels

129 (egi-geodesic)

Citations

5

Size

153 GB

Version

v1.0.0

Updated

Jul 22, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005857-blue…

Participants

33

Channels

128 (biosemi)

Size

284 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises two reversal learning tasks designed to investigate differential neural processing of reward gain and punishment avoidance. Participants performed parallel tasks using distinct reinforcers: monetary reward (gain/non-gain outcomes) and primary threat avoidance (noise burst avoidance/application), with noise intensity individually titrated to match subjective value of monetary rewards. The dataset enables investigation of how the brain differentially encodes appetitive versus aversive learning contingencies.

Participants

26

Channels

66 (10-10)

Citations

20

Size

31.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

…a load-3 object working memory task. Please see the associated publication…

Participants

13

Citations

1

Size

286 MB

Version

v1.0.0

Updated

Aug 19, 2026

A single-pulse transcranial magnetic stimulation (TMS) combined with electroencephalography (EEG) dataset acquired in open-loop configuration. This dataset provides concurrent TMS-EEG recordings suitable for investigating cortical responses to magnetic stimulation and characterizing brain reactivity to non-invasive neuromodulation. The dataset comprises recordings from multiple subjects across multiple sessions with concurrent TMS-EEG acquisition.

Participants

20

Channels

30 (10-10)

Size

39.4 GB

Version

v1.0.0

Updated

Jul 10, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005095-blue…

Participants

48

Channels

63 (10-10)

Citations

2

Size

14.3 GB

Version

v1.0.0

Updated

Aug 19, 2026