Discover datasets

VEPCON is a multimodal BIDS dataset with high-density EEG, structural MRI and diffusion-weighted imaging from 20 participants. Visual evoked potentials were recorded during face versus scrambled-face discrimination and coherent versus incoherent motion discrimination. Derivatives include preprocessed single-trial EEG, FreeSurfer outputs, multi-scale brain parcellations (83 to 1015 regions), structural connectomes, and EEG source-imaging inverse solutions, supporting multimodal methods development and structure-function studies.

Participants

20

Channels

128 (biosemi)

Citations

20

Size

58.2 GB

Version

v1.0.0

Updated

Jun 21, 2026

…Dynamic Causal Tractography Analysis of Auditory Descriptive Naming: An Intracranial Study of…

Participants

106

Citations

8

Size

40.0 GB

Version

v1.0.0

Updated

Jun 27, 2026

SMN4Lang is a synchronized multimodal neuroimaging dataset for studying brain language processing. It contains fMRI and MEG recordings from the same 12 participants listening to about 6 hours of naturalistic Mandarin Chinese stories. It also includes structural T1/T2, diffusion MRI, resting-state fMRI, and linguistic annotations of the stimuli such as word frequencies, part-of-speech tags, syntactic trees, time-aligned characters and words, and word embeddings.

Participants

12

Citations

4

Size

1.36 TB

Version

v1.0.0

Updated

Jun 23, 2026

…Diffusion MRI is not included (identifying file names; only derived tractography inputs…

Participants

1

Size

2.32 GB

Version

v1.0.0

Updated

Oct 8, 2026

This dataset contains 64-channel EEG recorded from 31 healthy participants performing a two-class (left vs. right hand) motor imagery task. Each participant completed up to three sessions of 40 trials. The recordings are part of a multimodal collection that also includes eye-tracking and high-speed video, intended for analyzing ocular activity across BCI paradigms. Events are annotated with HED, and the data are organized in BIDS format via MOABB.

Participants

31

Channels

62 (10-10)

Citations

13

HED

v8.4.0

Size

33.6 GB

Version

v1.0.3

Updated

Aug 18, 2026

This dataset contains paired very high-density diffuse optical tomography (VHD-DOT) and fMRI recordings from 8 participants performing functional localizer and movie-viewing tasks. VHD-DOT data are stored in SNIRF format in the first two sessions per subject, while later sessions hold fMRI data in NIfTI format. Preprocessed fMRI data used for comparison with VHD-DOT are provided in the derivatives folder, supporting validation of whole-head optical brain mapping.

Participants

8

Size

237 GB

Version

v1.0.0

Updated

Jun 20, 2026

NeuroMorph is a magnetoencephalography (MEG) dataset with high temporal resolution, designed for morpheme-based linguistic analysis. It contains recordings from 24 participants, totaling over 17 hours of data, acquired with a 208-channel KIT/Yokogawa magnetometer system. The dataset supports research on the neural processing of morphology during language comprehension.

Participants

24

Size

140 GB

Version

v1.0.0

Updated

Jun 26, 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