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This dataset contains EEG recordings from 23 participants performing a passive viewing task involving partially occluded and uncovered visual scenes containing varying numbers of game pieces. The study investigates how the brain processes numerosity information under conditions of occlusion and disocclusion. Participants viewed scenes with 4 or 32 initially visible game pieces, followed by uncovering to reveal different numbers of additional pieces, across 640 trials.

Participants

23

Channels

60 (10-10)

Size

28.7 GB

Version

v1.0.0

Updated

Aug 19, 2026

…These data were collected using stereoelectroencephalography recordings of epilepsy patients while they…

Participants

13

Size

13.5 GB

Version

v1.0.0

Updated

Aug 19, 2026

…responses, in 23 patients undergoing stereo-EEG presurgical evaluation for drug-resistant…

Participants

21

Citations

1

Size

1.04 GB

Version

v1.0.0

Updated

Aug 19, 2026

Imported from OpenNeuro ds006126

Participants

6

Channels

3 (other)

Size

1.08 GB

Version

v1.0.0

Updated

Jul 10, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005670-blue…

Participants

2

Size

709 MB

Version

v1.0.0

Updated

Aug 19, 2026

…depth electrodes (ECoG) or purely stereotactically-placed depth electrodes (SEEG). Each patient…

Participants

57

Citations

22

Size

13.2 GB

Version

v1.0.0

Updated

Aug 18, 2026

Imported from OpenNeuro ds002578

Participants

2

Channels

256 (biosemi)

HED

v8.0.0

Size

1.33 GB

Version

v1.0.2

Updated

Jul 10, 2026

…dataset of intracranial electrophysiological (iEEG / stereo-EEG) recordings collected from **10 epilepsy…

Participants

10

Size

508 GB

Version

v1.0.0

Updated

Jul 10, 2026

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

…and 8 patients recorded with stereo-encephalography. For a detailed description see…

Participants

13

Size

44.7 GB

Version

v1.0.0

Updated

Aug 19, 2026