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A raw multimodal dataset from 30 healthy right-handed adults performing a hierarchy of cognitive, motor, and combined cognitive-motor tasks across three sessions. It includes EEG, fNIRS, ECG, EMG, Biodex torque/kinematics, push-button responses, and subjective ratings of sleepiness and cognitive load. The data are organized in BIDS and are unprocessed exports from the acquisition systems.

Participants

30

Channels

32 (10-10)

Size

4.21 GB

Version

v1.0.0

Updated

Jun 30, 2026

An open multimodal dataset combining intracranial EEG (electrocorticography and sEEG) and fMRI recorded during naturalistic stimulation with a short audiovisual film. Recordings were collected from patients at UMC Utrecht, and the dataset supports research on brain responses to naturalistic audiovisual input and on multimodal comparison of iEEG and fMRI signals.

Participants

63

Citations

10

Size

15.3 GB

Version

v1.0.0

Updated

Jun 22, 2026

This dataset contains 64-channel EEG recordings from people with and without vicarious touch experiences. Participants either felt touch to their fingers or watched matched videos of touch to another person's fingers. It was collected to test, using time-resolved multivariate pattern analysis, whether seen touch evokes neural representations that overlap with first-hand touch. Raw and processed data, code and stimuli are included.

Participants

40

Channels

64

Citations

12

Size

172 GB

Version

v1.0.0

Updated

Jun 24, 2026

A multimodal EEG, EOG and EMG dataset from 25 healthy, BCI-naive right-handed participants performing motor imagery and real movement of 11 intuitive upper-limb tasks. The tasks were 6 reaching directions, 3 grasping types and 2 wrist-twisting movements. Each participant completed 3 sessions of 550 trials. Recordings used 60 EEG channels at 1000 Hz. This BIDS derivative was generated via MOABB and is intended for BCI research on motor control and prosthetics.

Participants

25

Channels

71 (10-10)

Citations

87

HED

v8.4.0

Size

326 GB

Version

v1.0.2

Updated

Aug 18, 2026

MULTI-CLARID is a combined fMRI/EEG dataset acquired during an auditory category learning task and resting state. It includes 63-channel EEG with ECG, EOG, facial EMG and skin conductance, plus respiration and finger-pulse recordings, and T1-weighted and UTE anatomical MR scans. Five participants' datasets containing the multi-dimensional category learning experiment are currently shared.

Participants

34

Channels

72 (10-10)

Size

6.43 GB

Version

v1.0.0

Updated

Jun 27, 2026

TX15 is an EEG dataset organized according to BIDS 1.8.0 with HED annotations (version 8.1.0). It is a NEMAR-hosted version of the OpenNeuro dataset ds004842 and is released under a CC0 license. The README provides minimal detail on the experimental paradigm or participants.

Participants

14

Channels

64 (10-10)

HED

v8.1.0

Size

5.21 GB

Version

v1.0.0

Updated

Jun 25, 2026