Discover datasets

This dataset contains EEG recordings, along with PPG, respiration, ECG and accelerometry, from 20 healthy volunteers performing cued left- versus right-hand motor imagery of a bimanual rowing task. Sessions were part of brain-computer interface training in the NeuRow environment, comparing Graz and virtual-reality conditions with optional haptic and head-mounted-display feedback. The data are a BIDS re-release of the original Zenodo deposit, produced via MOABB, for neurorehabilitation-oriented BCI research.

Participants

20

Channels

32 (10-10)

HED

v8.4.0

Size

5.48 GB

Version

v1.0.0

Updated

Oct 8, 2026

EEG recordings from twenty healthy right-handed adults exposed to tendon vibration of the left elbow, designed to separate the percept of illusory movement from plain vibratory sensation. Sixteen sensorimotor electrodes were recorded while biceps and triceps tendons were vibrated at 90/50 Hz (illusion of elbow extension) or both at 70 Hz (control, no illusion). Each participant completed three blocks of 72 randomized three-second stimulations.

Participants

20

Channels

16 (10-10)

Citations

16

Size

664 MB

Version

v1.0.2

Updated

Oct 8, 2026

EEG dataset recorded while participants received laser-evoked pain stimuli at fixed intensities (3/3.5 J for low pain and 3.5/4 J for high pain). Each participant completed three blocks of ten stimuli, with high and low pain intensities evenly distributed within each block. After each stimulus, participants rated pain intensity on a 0-10 scale.

Participants

223

Channels

64 (10-10)

Size

138 GB

Version

v1.0.0

Updated

Jun 18, 2026

This dataset supports brain signal-based emotion recognition. It combines magnetoencephalography (MEG) recordings from 23 participants who viewed 40 validated emotional video clips with a large-scale online behavioral survey of 500 respondents rating the same clips. Labels include Self-Assessment Manikin valence and arousal, discrete PrEmo emotion categories, and temporal highlight scene selections. Head digitization files with anatomical landmarks and HPI coil coordinates are provided for co-registration.

Participants

23

Size

88.8 GB

Version

v1.0.0

Updated

Jun 30, 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

This dataset contains behavioral events and electrophysiological (EEG) recordings from a hybrid spatial-navigation and free recall experiment in which participants act as couriers delivering items to stores in a virtual town and later recall their deliveries. Sessions were either read-only, used to collect training data, or closed-loop, in which classifier predictions of memory encoding were used to time stimulus presentation. It represents the non-invasive portion of a project aimed at improving memory through closed-loop stimulus timing optimization.

Participants

34

Channels

128 (biosemi)

Citations

6

Size

1.30 TB

Version

v1.0.0

Updated

Jun 25, 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

THINGS-EEG2 is a large EEG dataset from 10 participants who viewed 16,540 training images and 200 repeatedly presented test images from the THINGS database. Images were shown in rapid serial visual presentation at 5 Hz while 63-channel EEG was recorded at 1000 Hz across four sessions per subject. The dataset supports modeling of human visual object recognition and includes resting-state recordings, the authors' preprocessed epochs, and stimulus images.

Participants

10

Channels

63 (10-10)

Citations

88

Size

241 GB

Version

v1.1.0

Updated

Jul 5, 2026

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

EEG dataset from a single healthy young adult examining how auditory, visual, and combined audio-visual stimulation entrain gamma-band brain oscillations. Gamma entrainment has been proposed as a therapeutic approach for Alzheimer's disease symptoms. The session consists of three 40-second stimulation epochs, using a 40 Hz amplitude-modulated auditory tone, a 20 Hz LED flicker, and both together.

Participants

1

Channels

19 (10-20)

Size

17.0 MB

Version

v1.0.0

Updated

Jun 22, 2026