Discover datasets

VEPCON is a multimodal neuroimaging dataset comprising high-density EEG, structural MRI, and diffusion-weighted imaging from 20 participants performing visual discrimination tasks (face vs. scrambled faces, coherent vs. incoherent motion). The dataset includes preprocessed EEG single trials, individual brain parcellations at five spatial resolutions, structural connectomes derived from diffusion data, and EEG source imaging solutions based on individual anatomy. This resource supports multimodal methods development, structure-function relationship studies, and optimization of source imaging and graph analysis techniques.

Participants

20

Channels

128 (biosemi)

Citations

24

Size

58.2 GB

Version

v1.0.0

Updated

Jul 22, 2026

…template-matching, reconvolution, CCA - **Feature extraction**: encoding model, event responses, spatio-temporal…

Participants

30

Channels

8 (10-10)

Citations

66

HED

v8.4.0

Size

3.16 GB

Version

v1.0.4

Updated

Aug 18, 2026

This dataset contains EEG recordings from 34 participants collected to investigate the adaptive recruitment of cortex-wide recurrent processing during visual object recognition. Participants viewed a stimulus set of 242 images, comprising 'challenge' and 'control' images selected based on discrepancies between human behavioral performance and AlexNet classification, while performing a rapid serial visual presentation task with a paper-clip detection component. The dataset includes derivatives with time-resolved decoding accuracy matrices for object identity, supporting analyses of recurrent cortical dynamics in visual processing.

Participants

34

Channels

63 (10-10)

Citations

1

Size

61.2 GB

Version

v1.0.0

Updated

Aug 19, 2026

…The reconvolution model decomposes responses into single-flash responses (short and long…

Participants

12

Channels

64 (10-10)

Citations

72

HED

v8.4.0

Size

11.0 GB

Version

v1.0.3

Updated

Aug 18, 2026

This dataset is a NEMAR re-host and BIDS conversion of the emg2pose benchmark, comprising surface electromyography (EMG) recordings paired with hand pose labels for wrist-worn sEMG-based hand pose estimation. It includes 16-channel, 2 kHz sEMG recordings synchronized with joint-angle labels derived from a 26-camera motion-capture rig, spanning 193 users, 370 hours, and approximately 80 million labeled frames across 29 behavioral stages.

Participants

97

Size

740 GB

Version

v1.0.3

Updated

Aug 31, 2026

This dataset contains somatosensory MEG recordings converted to BIDS format, including raw MEG data, anatomical MRI scans, and FreeSurfer-derived structural derivatives. The dataset includes forward models and boundary element models computed using MNE-BIDS, providing a complete neuroimaging resource for studying somatosensory processing and demonstrating MEG-MRI integration workflows.

Participants

1

Citations

1

Size

726 MB

Version

v1.0.0

Updated

Jul 10, 2026

A BIDS-converted neuroimaging dataset containing time-series fNIRS data from 18 subjects across two sessions. The dataset includes near-infrared spectroscopy (NIRS) measurements with independent component analysis (ICA) denoising applied. Data were collected using continuous-wave NIRS with simultaneous measurement of oxygenated and deoxygenated hemoglobin concentrations. This dataset is derived from TimeSeriesHbORT_18sub_twoSessionICAdenoise and has been reformatted to comply with BIDS standards. NOTE: This dataset is currently under validation. Critical NIRS metadata fields (SamplingFrequency, NIRSChannelCount, source/detector mapping) and BIDS compliance must be confirmed before public release.

Participants

18

Size

1.53 GB

Version

v1.0.0

Updated

Jul 10, 2026