Discover datasets

Multimodal dataset of 29 participants watching six educational videos under two conditions: an attentive session with intentional learning and subsequent factual questions, and a distracted session with a silent backward-counting task. Recordings include EEG, EOG, ECG, gaze, pupil size, blinks, saccades and head position. Questionnaires (stimulus knowledge questions and the ASRS adult ADHD checklist) are provided. The dataset supports research on attention and learning from video.

Participants

29

Channels

64 (10-10)

Size

7.47 GB

Version

v1.0.0

Updated

Jun 3, 2026

A multi-distance, high-density fNIRS dataset recorded over the motor cortex with a lightweight system that includes an accelerometer. Participants completed a resting-state recording, a bilateral ball-squeezing task, and a motion creation task with instructed head and facial movements to deliberately induce motion artifacts. The dataset supports work on short-separation regression, motion artifact correction, and diffuse optical tomography image reconstruction.

Participants

12

Size

572 MB

Version

v1.0.0

Updated

Jun 19, 2026

This dataset contains synchronized EEG, ECG and pupil recordings from 36 young and 39 older adults performing auditory cued reaction time tasks, plus a passive listening condition. The active tasks were a cued simple reaction time task and a cued go/no-go task, and they allow investigation of age-related differences in cortical, autonomic and pupillary responses during anticipation and perceptual decision-making.

Participants

75

Channels

61 (10-10)

Citations

30

Size

21.5 GB

Version

v1.0.0

Updated

Jun 22, 2026

Electroencephalography recordings from 50 participants viewing 22,248 images spanning 1,854 object concepts from the THINGS database. Images were shown in rapid serial visual presentation streams at 10 Hz while participants performed an orthogonal fixation colour change detection task. The dataset supports research on the temporal dynamics of object recognition and visual representation in the human brain.

Participants

50

Channels

63

Citations

3

Size

55.3 GB

Version

v1.0.0

Updated

Mar 14, 2026

EEG dataset investigating proactive selective attention across different competition contexts. The dataset is mirrored on NEMAR from OpenNeuro (ds005089) and organized in BIDS format.

Participants

36

Channels

63 (10-10)

Citations

6

Size

68.0 GB

Version

v1.0.0

Updated

Jun 26, 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

EEG recordings from 47 neurotypical children and adolescents (5-18 years) who each completed a two-stage SSVEP-based brain-computer interface session. The session comprised a stimulus personalization pipeline followed by an online 4-target SSVEP game. Data were recorded with a 16-channel g.tec gel-based system at 256 Hz. The dataset was released by the BCI4Kids program to support signal-processing methods developed specifically for pediatric SSVEP-BCI data.

Participants

47

Channels

16 (10-10)

Size

2.41 GB

Version

v1.0.1

Updated

Oct 8, 2026

This dataset contains EEG recordings from 7 participants performing an auditory imagery task, in which they imagined the sounds made by objects from the semantic categories of animals and tools for 5 seconds. It supports research on semantic decoding and brain-computer interfacing. Recordings were made with a 64-channel BioSemi system, with additional EOG, physiological, and respiration channels.

Participants

7

Channels

64 (10-10)

Size

12.7 GB

Version

v1.0.0

Updated

Jun 24, 2026

The YOTO (You Only Think Once) dataset is a human EEG resource for studying multisensory perception and mental imagery. Twenty participants completed tasks with unimodal and multimodal (visual, auditory, and combined) cues while EEG was recorded at 1000 Hz, and they gave self-reported vividness ratings of their imagery. Technical validation with event-related potentials and power spectral density analyses confirmed data reliability and distinct neural responses across stimuli, supporting research on neural decoding, perception, and cognitive modeling.

Participants

20

Channels

30

Size

9.91 GB

Version

v1.0.0

Updated

Jun 20, 2026

Human electroencephalography (EEG) recordings from 80 participants who reported their attitudes on a set of sociopolitical issues and then viewed photographs of protests about those same issues. Each photo was preceded by a pie chart showing low, medium, or high social support for the issue. After each photo, participants rated their support for the protestors. The dataset supports investigation of how moral conviction and metacognitive ability shape multiple stages of information processing.

Participants

80

Size

101 GB

Version

v1.0.0

Updated

Jun 23, 2026