Discover datasets

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

MEG dataset from 22 participants performing a visual working memory task in which two Gabor stimuli were presented and a retro-cue indicated which stimulus and attribute to maintain for comparison with a probe. Each participant was recorded in two MEG sessions, with a one-back control task and anatomical T1 MRI. The data support investigation of the distinct brain mechanisms of selecting and maintaining information in working memory.

Participants

22

Size

168 GB

Version

v1.0.0

Updated

Jun 21, 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 visuo-spatial working memory (VSWM) for sequences during a computerized spatial span task in younger and older healthy adults. The study examines whether theta and gamma oscillatory dynamics reflect item-level sequence encoding and recall, and how these processes change in healthy cognitive aging. Results indicate that later gamma power during encoding and theta-gamma phase amplitude coupling during recall track serial position, and may be preserved with aging.

Participants

62

Channels

65 (10-10)

Size

25.1 GB

Version

v1.0.0

Updated

Jun 25, 2026

Subdural electrocorticography (ECoG) recorded at the University Medical Center Utrecht from three epilepsy patients (S4-S6) who imagined grasping a cylinder with the left or right hand. The data are the subset of participants from Stolk et al. (2019) who gave permission to share, and they support investigation of dissociated alpha and beta rhythmic activity in the human sensorimotor system. Data are released as unprocessed trial segments, stored as epoched recordings with electrode positions and author-provided atlas labels.

Participants

3

Size

663 MB

Version

v1.0.0

Updated

Oct 8, 2026

The Brain Treebank is a large-scale dataset of intracranial (stereo-EEG) recordings from 10 epilepsy patients who watched Hollywood movies. Signals were sampled at 2048 Hz from 1,688 electrodes in total, across 26 movie trials and about 43 hours of data. The movie audio was transcribed with manually annotated word onsets, and each transcript was parsed into Universal Dependencies syntax trees. This makes the dataset a resource for studying the neural basis of naturalistic language. This record provides the data in BIDS-iEEG format.

Participants

10

Size

257 GB

Version

v1.1.0

Updated

Sep 21, 2026

EEG recordings from 13 healthy participants performing a copy-spelling task with a visual 6x7 matrix ERP speller. The speller was designed for learning from label proportions (LLP), an unsupervised, calibrationless classification approach for ERP-based brain-computer interfaces. Two stimulus sequences with different target/non-target ratios allowed LLP to reconstruct mean target and non-target responses without labeled data. In the original online study, 84.5% of characters were spelled correctly on average without prior calibration.

Participants

13

Channels

31 (10-10)

Citations

46

HED

v8.4.0

Size

5.15 GB

Version

v1.0.3

Updated

Oct 8, 2026

EEG recordings from 54 community participants classified as light or heavy drinkers performing an affective-state reinforcement learning task involving alcohol imagery. The dataset supports investigation of reward-related neural responses, such as the reward positivity, in relation to drinking behavior. Data were collected between 2019 and 2021.

Participants

54

Channels

66 (10-10)

Size

9.48 GB

Version

v1.0.0

Updated

Jun 24, 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

Joint EEG-fMRI recordings from 21 healthy adults who listened to music stimuli chosen and generated to evoke different affective responses. Participants self-reported their felt affective states during listening. The dataset supports research on the neural correlates of emotional responses to music, including sub-cortical activity reflected in EEG.

Participants

21

Channels

31 (10-10)

Size

15.3 GB

Version

v1.0.0

Updated

Jun 21, 2026