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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

…https://doi.org/10.1016/j.cortex.2023.08.004 Analysis code…

Participants

37

Channels

64 (10-10)

Citations

3

Size

39.1 GB

Version

v1.0.0

Updated

Jun 25, 2026

This dataset contains simultaneous 64-channel EEG and fMRI recordings from 16 participants performing right-hand motor imagery with bimodal EEG-fMRI neurofeedback (experiment XP2). Participants were randomly assigned to receive either a mono-dimensional or a bi-dimensional feedback display. It includes raw and preprocessed EEG, BOLD fMRI, and EEG and BOLD neurofeedback scores, supporting multi-modal data integration research. It is designed to be combined with the companion XP1 dataset.

Participants

17

Size

25.9 GB

Version

v1.0.0

Updated

Jun 21, 2026

…10.1016/j.cortex.2017.02.021. EEG published here: 10.1016…

Participants

56

Channels

67 (10-10)

Citations

1

Size

22.3 GB

Version

v1.0.0

Updated

Jun 22, 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

…10.1016/j.cortex.2017.02.021. EEG published here: 10.1016…

Participants

56

Channels

67 (10-10)

Citations

2

Size

16.2 GB

Version

v1.0.0

Updated

Jun 22, 2026

Magnetoencephalography (MEG) recordings from 13 participants who viewed and heard audiovisual sequences while performing causality judgment and temporal order judgment tasks. The same six audiovisual sequences were used in both tasks, which allowed endogenous task demands to be manipulated while sensory input stayed constant. Auditory-only and visual-only localizer blocks are also included, along with anatomical MRI, EOG, ECG and empty-room recordings. The dataset supports research on multisensory correlation computations in the human brain.

Participants

14

Citations

28

Size

75.7 GB

Version

v1.0.0

Updated

Jun 22, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004024-blue…

Participants

13

Channels

64 (10-10)

Citations

3

Size

1021 GB

Version

v1.0.0

Updated

Jun 23, 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

…the central, frontal, temporal, occipital, parietal and insula lobes, with a predominance…

Participants

125

Channels

2

Size

117 GB

Version

v1.0.0

Updated

Jun 28, 2026