Discover datasets

This dataset comprises high-density diffuse optical tomography (HD-DOT) neuroimaging data from 5 participants performing functional localizer and naturalistic movie viewing tasks. Data are provided in SNIRF format with optode positions and anatomical landmarks registered to subject-specific head models, enabling investigation of brain function during audiovisual stimulation using optical neuroimaging methods.

Participants

5

Size

36.3 GB

Version

v1.0.0

Updated

Jul 10, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007322-blue…

Participants

57

Channels

64 (10-10)

Size

42.5 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset comprises EEG and behavioral recordings from a study examining the effects of transcranial direct current stimulation (tDCS) over the dorsolateral prefrontal cortex on emotion processing and regulation in lonely individuals. 120 participants completed two sessions (sham and active stimulation) involving an emotion regulation task with static social and non-social images, rated on arousal and valence. The dataset includes raw EEG, behavioral ratings, and derived ERP data, along with questionnaires assessing side effects and blinding effectiveness.

Participants

120

Channels

37 (10-10)

Size

53.6 GB

Version

v1.0.0

Updated

Aug 19, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006817-blue…

Participants

35

Citations

1

Size

11.4 GB

Version

v1.0.0

Updated

Aug 19, 2026

Participants

24

Channels

64

HED

v8.4.0

Size

5.69 GB

Version

v1.0.0

Updated

Jul 10, 2026

…the participant had to pay attention to both images -integration- or to…

Participants

41

Channels

63 (10-10)

Citations

5

Size

57.7 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises multi-subject, multimodal neuroimaging data (structural MRI, fMRI, MEG, and EEG) collected during a face processing task, in which participants viewed famous, unfamiliar, and scrambled faces presented under initial, immediate repeat, and delayed repeat conditions. It is a BIDS-formatted subset of the original Wakeman & Henson (2015) dataset, designed to support research on multimodal integration of brain imaging data and studies of face recognition and repetition effects.

Participants

17

Citations

83

Size

169 GB

Version

v1.0.0

Updated

Aug 18, 2026

…band activity and during an attentional task. EEG signals were recorded using…

Participants

36

Channels

29 (10-10)

Size

10.4 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG, eye-tracking, and simulated driving performance data collected during the BCIT Mind Wandering study, in which subjects performed a prolonged simulated driving task under varying background audio conditions (task-relevant, non-task-relevant, and internal focus) while responding to periodic lateral perturbations and a vigilance task requiring detection of police vehicles. The study aimed to identify EEG-based biomarkers of driver fatigue and mind wandering by comparing extended time-on-task driving performance to a non-fatigued calibration session. Data were collected at Teledyne Laboratories under a US Army Research Laboratory contract as part of a broader effort to develop predictive fatigue algorithms from neural and behavioral signals.

Participants

21

Channels

64 (10-10)

Citations

32

HED

v8.0.0

Size

23.9 GB

Version

v1.0.0

Updated

Aug 19, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005624-blue…

Participants

24

Size

13.8 GB

Version

v1.0.0

Updated

Aug 19, 2026