Discover datasets

EEG dataset from 19 participants performing a visual P300 speller-like paradigm to assess how visual stimulus properties affect evoked responses and classification accuracy. Each participant completed three sessions with conditions varying the number of stimuli (4 to 9) and the flash type (standard flash versus a superimposed yellow smiling cartoon face). Recordings comprise 382 files from eight electrodes sampled at 256 Hz, with markers encoding trial phases and activated symbols.

Participants

19

Channels

9 (10-10)

Citations

1

Size

1.27 GB

Version

v1.0.0

Updated

May 13, 2026

…emotion states during acquisition of high-density EEG data. During the study…

Participants

34

Channels

224 (biosemi)

Citations

73

Size

36.0 GB

Version

v1.0.0

Updated

Jun 21, 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

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006545-blue…

Participants

49

Size

46.7 GB

Version

v1.0.0

Updated

Jun 18, 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

…High-density electroencephalography (EEG) and eye-tracking data were recorded from a…

Participants

111

Citations

65

Size

110 GB

Version

v1.0.0

Updated

Jun 17, 2026

This dataset contains simultaneous EEG-fMRI recordings, diffusion-weighted imaging, and behavioral data from 28 healthy adults performing a gradual-onset continuous performance task (gradCPT) that probes sustained attention. Resting-state (eyes open and closed), 15 Hz checkerboard, and imagery tasks are also included. Raw data and preprocessed derivatives are provided.

Participants

28

Channels

63

Size

680 GB

Version

v1.0.0

Updated

Jun 28, 2026

This dataset contains 32-channel EEG recorded from 22 healthy participants performing visual imagery of ten cued items: animals (dog, bird, fish), geometric figures (pentagram, square, circle), and objects (scissor, watch, cup, chair). Each participant completed up to two sessions of three runs, giving 16,800 trials in total. It is intended for developing visual imagery-based brain-computer interfaces and is distributed in BIDS format with HED event annotations.

Participants

22

Channels

32 (10-10)

Citations

3

HED

v8.4.0

Size

75.4 GB

Version

v1.0.3

Updated

Aug 20, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007719-blue…

Participants

65

Size

8.63 GB

Version

v1.0.0

Updated

Jun 19, 2026

A multimodal neuroimaging dataset (EEG, anatomical MRI and functional MRI) for studying the spatiotemporal dynamics of visual processing in the human brain, as described by the dataset title. This is a NEMAR-hosted copy of OpenNeuro dataset ds002814. The associated article was under review at the time of the record. The source README is an unfilled placeholder, so further study details are not available in the dataset documentation. Contact the corresponding authors (Seyed-Mahdi Khaligh-Razavi, Fatemeh Ebrahiminia) for more information.

Participants

21

Citations

7

Size

48.6 GB

Version

v1.0.0

Updated

Jun 21, 2026