Discover datasets

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

…We propose that the perception of abstract geometric regularities engages an additional…

Participants

21

Citations

13

Size

71.1 GB

Version

v1.0.0

Updated

Jun 28, 2026

Beetl2021-B is a preprocessed 32-channel EEG dataset from the NeurIPS 2021 BEETL competition, built to benchmark transfer learning for motor imagery decoding. It contains recordings from 2 healthy subjects performing four-class motor imagery (left hand, right hand, feet, rest) at 200 Hz, totaling 1590 trials. The dataset supports evaluation of cross-subject and cross-dataset generalization and domain adaptation in brain-computer interfaces.

Participants

2

Channels

32 (10-10)

Citations

1

HED

v8.4.0

Size

1.99 GB

Version

v1.0.5

Updated

Aug 20, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007964-blue…

Participants

19

Citations

2

Size

18.9 GB

Version

v1.0.0

Updated

Jun 17, 2026

A large, longitudinal EEG dataset collected while 62 healthy adults learned to control a sensorimotor rhythm-based brain-computer interface. Participants completed 7-11 online training sessions of continuous cursor control using motor imagery of the left hand, right hand, both hands, and rest. In total the dataset comprises 598 sessions and over 250,000 trials, offering a resource for designing and evaluating BCI algorithms and for studying BCI learning.

Participants

62

Channels

60 (10-10)

Citations

63

HED

v8.4.0

Size

722 GB

Version

v1.0.4

Updated

Aug 18, 2026

…while recordings done with the Medtronic system are estimated through testing to…

Participants

20

Size

26.3 GB

Version

v1.0.0

Updated

Jun 27, 2026

A multi-modal neuroimaging dataset (XP1) with simultaneous 64-channel EEG and fMRI recorded while 10 participants performed right-hand kinaesthetic motor imagery with neurofeedback. Each participant completed motor localizer, pre- and post-training motor imagery runs, and three neurofeedback runs (EEG-only, fMRI-only, and bimodal EEG-fMRI). The release includes raw and preprocessed EEG, BOLD fMRI, anatomical data, and EEG and BOLD neurofeedback scores to support multi-modal data integration.

Participants

10

Size

18.0 GB

Version

v1.0.0

Updated

Jun 21, 2026

…Neural correlates reveal separate stages of spontaneous face perception. Preprint: https://doi…

Participants

21

Citations

1

Size

32.0 GB

Version

v1.0.0

Updated

Jun 18, 2026

EEG dataset recorded during rapid serial visual presentation (RSVP) of sentences with flanking words, in which the critical center word was shown between grey flanker words. Sentences contained subject-verb agreement violations, semantic violations, double violations, word-order violations, or no violation (controls). The dataset supports research on sentence processing and parafoveal word processing during reading.

Participants

64

Channels

32 (10-10)

Size

6.22 GB

Version

v1.0.0

Updated

Sep 8, 2026

…Evidence accumulation relates to perceptual consciousness and monitoring, 2021, Nature Communications Participants…

Participants

19

Channels

69 (10-10)

Size

27.9 GB

Version

v1.0.0

Updated

Jun 20, 2026