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

EEG recordings from 23 participants performing a passive viewing task with partially occluded and subsequently uncovered scenes containing game pieces on a game board. Conditions varied the number of initially visible pieces (4 or 32) and the number of pieces revealed after the occluder was removed (0 to 32). The dataset supports investigation of neural responses to object numerosity in occluded and uncovered visual scenes.

Participants

23

Channels

60 (10-10)

Size

28.7 GB

Version

v1.0.0

Updated

Jun 27, 2026

This dataset contains 64-channel EEG recordings from people with and without vicarious touch experiences. Participants either felt touch to their fingers or watched matched videos of touch to another person's fingers. It was collected to test, using time-resolved multivariate pattern analysis, whether seen touch evokes neural representations that overlap with first-hand touch. Raw and processed data, code and stimuli are included.

Participants

40

Channels

64

Citations

12

Size

172 GB

Version

v1.0.0

Updated

Jun 24, 2026

MEG dataset from a logical reasoning study collected by the Cognitive and Computational Neuroscience Laboratory (UPM - UCM). The dataset is organized in BIDS format and mirrored on NEMAR from the OpenNeuro deposit ds003483.

Participants

21

Size

68.3 GB

Version

v1.0.0

Updated

Jun 21, 2026

Multimodal dataset of 31 participants watching five short educational videos while EEG, ECG, EOG, gaze, pupil size, blinks, saccades, and head motion were recorded. Each participant completed an attentive session, in which factual questions followed each video, and a distracted session, in which they silently counted backwards. Experiment 2 uses an incidental learning design, so participants did not know in advance that they would be tested. Questionnaire data, including stimulus-related questions and the ASRS adult ADHD checklist, are included.

Participants

31

Channels

64 (10-10)

Size

5.25 GB

Version

v1.0.0

Updated

Jun 3, 2026

This dataset contains 32-channel EEG recordings acquired during a sham neurofeedback experiment in a virtual reality environment. The study examined how feedback valence (positive, negative, or none) modulates alpha-band activity during an attentional task. Each participant completed positive, negative, control, and resting-state (eyes open/eyes closed) conditions.

Participants

36

Channels

29 (10-10)

Size

10.4 GB

Version

v1.0.0

Updated

Jun 29, 2026

This dataset contains EEG recordings collected while participants viewed visual and audiovisual stimuli in virtual reality depicting the Edzna Archaeological Site. It is intended to support research on how immersive, multisensory cultural-heritage environments shape brain activity. The data are organized in BIDS format with HED annotations.

Participants

102

Channels

8 (10-10)

Size

634 MB

Version

v1.0.0

Updated

May 13, 2026

EEG dataset from the PURSUE project of a face perception task designed to elicit the N170 event-related potential. Data were collected from participants at three primarily undergraduate institutions in Southern California, Massachusetts, and Virginia during 2017 and 2018. The task follows the ERP CORE paradigm, and the dataset includes participant race information.

Participants

292

Channels

32 (10-10)

Size

11.6 GB

Version

v1.0.0

Updated

Jun 3, 2026

EEG dataset investigating the sense of agency over movements produced by electrical muscle stimulation (electrically-actuated movements). It examines the illusion of agency when involuntary, externally actuated movements are experienced, and provides raw EEG recordings organized in BIDS format.

Participants

23

Channels

62 (10-10)

Size

98.0 GB

Version

v1.0.0

Updated

Jun 24, 2026

EEG dataset investigating whether episodic future thinking can reduce temporal discounting. Participants described a series of personal future events and were then cued to think about these events while making intertemporal choices. They also rated the vividness of their mental imagery for each event.

Participants

29

Channels

64 (10-10)

Size

16.1 GB

Version

v1.0.0

Updated

Jun 18, 2026