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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

…The stimuli are multimedia videos providing context to understand the situated conceptualization…

Participants

40

Channels

128

Citations

4

Size

4.46 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from 33 participants who completed counterbalanced visual and auditory surprise tasks designed to probe electrophysiological markers of surprise-induced failures of perceptual awareness. The data support an ongoing study by Leong et al. examining how unexpected stimuli disrupt conscious awareness across sensory modalities. Some participants' data are incomplete due to exclusion at various analysis stages.

Participants

33

Channels

16 (10-20)

Size

535 MB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises event-related potential (ERP) recordings from 13 healthy subjects performing a visual matrix speller task using a calibrationless brain-computer interface approach. The study introduces learning from label proportions (LLP), an unsupervised classification method that exploits known target/non-target stimulus ratios to enable online BCI operation without prior calibration. Subjects performed copy-spelling tasks using a 6×7 character grid across three sessions, achieving 84.5% character accuracy without labeled training data.

Participants

13

Channels

31 (10-10)

Citations

46

HED

v8.4.0

Size

5.15 GB

Version

v1.0.2

Updated

Aug 18, 2026

…instruction stage (prompt), MI stage (4s video-guided imagery), break stage (rest…

Participants

50

Channels

29 (10-10)

Citations

78

HED

v8.4.0

Size

1.15 GB

Version

v1.0.3

Updated

Aug 18, 2026

…They were instructed to watch the LCD video monitor that was at…

Participants

24

Channels

32 (10-10)

Size

2.62 GB

Version

v1.0.0

Updated

Aug 19, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004980-blue…

Participants

17

Channels

64 (other)

Size

15.8 GB

Version

v1.0.0

Updated

Aug 19, 2026

Imported from OpenNeuro ds004018

Participants

16

Citations

98

Size

10.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial EEG (ECoG) recordings from 14 epilepsy patients implanted with subdural grid and depth electrodes, collected while they viewed grayscale and color visual stimuli varying in spatial and temporal properties. The recordings were designed to characterize temporal and spatial dynamics of neural responses in human visual cortex, including population receptive field mapping and category-selective responses. Pre-implantation T1-weighted MRI scans are also included for electrode localization. The dataset supports multiple published studies on visual cortical dynamics and adaptation.

Participants

14

Citations

61

Size

57.9 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises event-related potential (ERP) recordings from a visual oddball task collected as part of the PURSUE project across three primarily undergraduate institutions. Participants performed a P300 oddball paradigm while EEG was recorded in 2017-2018. This dataset is one of the standardized ERP CORE initiative datasets, an open resource for standardized human event-related potential research.

Participants

287

Channels

32 (10-10)

Size

7.83 GB

Version

v1.0.0

Updated

Jul 10, 2026