Discover datasets

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

…Jahanpour, Bertille Somon, Lou Pluchon, Frédéric Dehais, Raphaëlle N. Roy - **Senior author…

Participants

15

Channels

61 (10-10)

Citations

70

HED

v8.4.0

Size

1.22 GB

Version

v1.0.0

Updated

Jun 2, 2026

EmoEEG-MC is a multi-context emotional EEG dataset containing 64-channel EEG and peripheral physiological signals (PPG and GSR) from 60 participants. Emotions were induced in two contexts, video viewing and mental imagery, and covered seven categories: joy, inspiration, tenderness, fear, disgust, sadness and neutral. The dataset is intended to support cross-context emotion decoding, and SVM baselines with L1 regularization achieved above-chance accuracy for binary and seven-category classification.

Participants

60

Channels

64

Size

70.4 GB

Version

v1.0.0

Updated

Jun 27, 2026

…Jahanpour, Bertille Somon, Lou Pluchon, Frédéric Dehais, Raphaëlle N. Roy Senior author…

Participants

15

Channels

61 (10-10)

Citations

73

HED

v8.4.0

Size

4.04 GB

Version

v1.0.3

Updated

Aug 18, 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

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006366-blue…

Participants

92

Channels

1

Size

6.08 GB

Version

v1.0.0

Updated

Jun 28, 2026

A calibrated task subset of Kai J. Miller's library of human electrocorticographic (ECoG) data, comprising 111 recordings from 24 epilepsy patients with subdural electrode grids. Tasks include finger flexion, hand gestures, motor movement and imagery, and verb generation and noun reading. Data were recorded at 1 kHz and converted to BIDS in BrainVision format with source-documented amplitude calibration.

Participants

24

Size

14.0 GB

Version

v1.0.0

Updated

Oct 8, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005178-blue…

Participants

10

Channels

8 (10-20)

Size

88.6 GB

Version

v1.0.0

Updated

Jun 26, 2026

This dataset contains functional near-infrared spectroscopy (fNIRS) recordings collected during a word-color Stroop task using a sparse fNIRS montage. It accompanies a study comparing high-density, multi-distance fNIRS with sparse configurations for detecting task-related brain activity. The data are organized in BIDS format and are mirrored on NEMAR from OpenNeuro.

Participants

17

Size

169 MB

Version

v1.0.0

Updated

Jun 18, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007688-blue…

Participants

44

Channels

65

Size

13.4 GB

Version

v1.0.0

Updated

Jun 19, 2026