Discover datasets

This dataset contains simultaneously recorded EEG and fMRI data from 22 adults aged 23 to 51 years, collected at the Nathan Kline Institute while participants watched naturalistic video stimuli. It also includes eye tracking, physiological (respiration) recordings, demographic information, and behavioral measures such as sleep and caffeine intake. The goal is to investigate the relationship between electrical brain activity and hemodynamic fluctuations.

Participants

22

Channels

61 (10-10)

Citations

45

Size

256 GB

Version

v1.0.0

Updated

Jun 8, 2026

…Pain Perception and Anxiety-Depression Levels](#2-pain-perception-and-anxiety-depression…

Participants

9

Channels

8

Size

1.75 GB

Version

v1.0.0

Updated

Jun 25, 2026

This dataset contains 64-channel EEG recordings and behavioural ratings from participants who read and evaluated 210 short English-language texts: 70 Haiku, 70 Senryu, and 70 non-poetic control texts. Each text was rated on aesthetic appeal, vivid imagery, being moved, originality, and creativity. This first of two BIDS datasets includes 47 participants whose recordings passed technical validation. Psychometric questionnaire data and resting-state EEG are also provided.

Participants

47

Channels

64 (10-10)

Size

45.4 GB

Version

v1.0.0

Updated

Jun 29, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003774-blue…

Participants

20

Channels

129 (egi-geodesic)

Citations

2

Size

10.1 GB

Version

v1.0.0

Updated

Jun 22, 2026

Raw 128-channel EEG data from 20 observers viewing object images in a rapid presentation paradigm, together with representational dissimilarity matrices. The dataset supports time-resolved neural decoding analyses that separate objects' contextual associations from their perceptual and conceptual attributes. One participant was excluded because of a technical recording error, leaving 19 usable participants.

Participants

19

Citations

2

Size

18.9 GB

Version

v1.0.0

Updated

Jun 17, 2026

EEG and eye-tracking dataset from 30 participants who searched for objects in real-world scenes or intentionally memorized objects in other scenes, then completed a surprise recognition memory test. The study asks whether the search superiority effect reflects purely stronger memory or also qualitative differences in recollection versus familiarity. The data include FN400 and LPC ERP components, remember-know judgments, and receiver operating characteristics. Behavioral data are split into encoding and memory testing phases.

Participants

30

Channels

61

Size

17.0 GB

Version

v1.0.0

Updated

Jun 26, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005107-blue…

Participants

21

Size

27.6 GB

Version

v1.0.0

Updated

Jun 26, 2026

A multi-modal face processing dataset combining simultaneously recorded MEG and EEG with structural MRI from 18 participants. Participants viewed famous, unfamiliar, and scrambled faces and made a symmetry judgment by button press. The data are a curated repackaging of the MEEG portion of ds000117, with reorganized event logs, Hierarchical Event Descriptor (HED) annotations, and EEGLAB-format EEG.

Participants

19

Citations

80

HED

v8.1.0

Size

106 GB

Version

v1.0.0

Updated

Mar 9, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005286-blue…

Participants

30

Channels

32 (10-10)

Size

19.4 GB

Version

v1.0.0

Updated

Jun 18, 2026

Human electroencephalography (EEG) recordings from 80 participants who reported their attitudes on a set of sociopolitical issues and then viewed photographs of protests about those same issues. Each photo was preceded by a pie chart showing low, medium, or high social support for the issue. After each photo, participants rated their support for the protestors. The dataset supports investigation of how moral conviction and metacognitive ability shape multiple stages of information processing.

Participants

80

Size

101 GB

Version

v1.0.0

Updated

Jun 23, 2026