Discover datasets

This dataset comprises intracranial EEG (iEEG) recordings collected by the Hamilton Lab at the University of Texas at Austin, compiled as a teaching resource for the WIRED ICM course in Paris, 2024. It includes evoked responses to naturalistic auditory stimuli, such as movie trailers and TIMIT speech corpus sentences, alongside illustrative examples of seizure activity and vagus nerve stimulator (VNS) artifact. The dataset is intended to demonstrate typical and atypical intracranial recording phenomena in patients with epilepsy.

Participants

3

Size

348 MB

Version

v1.0.0

Updated

Aug 19, 2026

Imported from OpenNeuro ds004849

Participants

1

Channels

64 (10-10)

Citations

4

HED

v8.1.0

Size

78.9 MB

Version

v1.0.0

Updated

Jul 10, 2026

A motor imagery brain-computer interface dataset comprising EEG recordings from 30 healthy participants performing left-hand grasping imagery and rest tasks, augmented with pupillometry measurements. The dataset includes 32-channel EEG data sampled at 512 Hz acquired using BioSemi ActiveTwo hardware, with two experimental runs per subject containing 50 trials total. This derivative dataset was processed using the Mother of All BCI Benchmarks (MOABB) framework and is designed to support BCI research and algorithm development.

Participants

30

Channels

32 (10-10)

Citations

37

HED

v8.4.0

Size

3.22 GB

Version

v1.0.2

Updated

Aug 18, 2026

The EEG Moments Dataset (EMD) provides EEG responses from 6 human subjects to 1,102 naturalistic 3-second videos with audio, serving as the EEG companion to the BOLD Moments Dataset (BMD) fMRI dataset. Each subject viewed a 1,000-video training set 6 times and a 102-video testing set 24 times, with concurrent eye-tracking (gaze and pupil size) recorded during central fixation. Videos are annotated with object, scene, and action labels, textual descriptions, spoken transcriptions, and memorability scores, enabling multimodal analyses of visual and auditory naturalistic event processing.

Participants

6

Size

210 GB

Version

v1.0.0

Updated

Sep 8, 2026

This dataset contains electroencephalography (EEG) recordings from a study investigating how expectation modulates repetition suppression of neural responses to nociceptive (pain-related) stimuli. It provides raw EEG data organized in BIDS format, intended to support analyses of expectation effects on cortical processing of repeated nociceptive stimulation.

Participants

36

Channels

32 (10-10)

Size

42.7 GB

Version

v1.0.0

Updated

Aug 19, 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

Imported from OpenNeuro ds004850

Participants

1

Channels

64 (10-10)

Citations

1

HED

v8.1.0

Size

78.9 MB

Version

v1.0.0

Updated

Jul 10, 2026

Imported from OpenNeuro ds004853

Participants

1

Channels

64 (10-10)

Citations

3

HED

v8.1.0

Size

78.9 MB

Version

v1.0.0

Updated

Jul 10, 2026

Participants

8

Citations

6

Size

7.74 GB

Version

v1.0.2

Updated

Jul 10, 2026

This multimodal dataset comprises EEG, ECG, and pupillometry recordings from participants performing an n-back working memory task at four difficulty levels (1-back through 4-back). Data were collected using a combined mobile EEG+ECG system synchronized with a Pupil Labs eye tracker via Lab Streaming Layer, and converted from raw XDF recordings into BIDS format. The dataset is intended to support research on cognitive workload assessment across multiple physiological modalities.

Participants

18

Channels

19 (10-20)

Size

2.13 GB

Version

v1.0.0

Updated

Aug 19, 2026