Discover datasets

A multimodal neuroimaging dataset combining EEG, eye-tracking, and high-speed video recordings from 31 healthy participants performing a P300-based speller task across three sessions. The dataset comprises 2,520 trials of visual event-related potential data acquired at 1000 Hz using a 64-channel Neuroscan system (64 EEG channels + 1 EOG + 1 stimulus channel), designed to enable analysis of ocular activity patterns and their relationship to brain-computer interface performance across multiple BCI paradigms.

Participants

31

Channels

62 (10-10)

Citations

11

HED

v8.4.0

Size

40.7 GB

Version

v1.0.3

Updated

Aug 18, 2026

…The EEG data were recorded with tasks directly acquired from the Event…

Participants

127

Channels

27

Citations

10

Size

10.6 GB

Version

v1.0.0

Updated

Aug 19, 2026

Participants

123

Channels

32 (10-10)

Citations

97

Size

31.4 GB

Version

v1.1.3

Updated

Jul 10, 2026

…task including a target letter (either b or d) and three distractor…

Participants

21

Channels

64 (10-10)

Size

36.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from 20 subjects performing a sustained attention task involving mental concentration on a target stimulus. Participants received automated verbal instructions guiding them through cycles of relaxation, preparation, and 15-second concentration periods, with the entire experiment conducted with eyes closed. The dataset includes 20 repetitions of the attention task per participant and is annotated using HED (Hierarchical Event Descriptors) version 8.0.0.

Participants

20

Channels

32 (egi-geodesic)

HED

v8.0.0

Size

777 MB

Version

v1.0.0

Updated

Jul 10, 2026

…C., & Rodriguez-Fernandez, M. (2024). Identification of perceived sentences using deep neural…

Participants

56

Channels

64 (10-10)

Size

25.2 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from 15 healthy subjects performing a P300-based brain-computer interface task for door lock control. The experiment employed a visual oddball paradigm with 31-channel EEG acquisition at 500 Hz, generating event-related potentials in response to target and non-target stimuli presented on an LCD display. The dataset includes 50 training and 30 testing trials per subject and serves as a benchmark for P300-based BCI applications in home appliance control.

Participants

14

Channels

31 (10-10)

Citations

8

HED

v8.4.0

Size

1.24 GB

Version

v1.0.3

Updated

Aug 18, 2026

This EEG dataset investigates the neural dynamics of visual object coding across brain hemispheres. Object and word stimuli were rapidly presented (5Hz) in the left visual field, right visual field, or centrally, while participants engaged in an orthogonal red-target detection task. The dataset supports investigation of within- and cross-hemisphere object representation dynamics using frequency-tagging EEG paradigms.

Participants

20

Citations

11

Size

58.8 GB

Version

v1.0.0

Updated

Aug 19, 2026

…Complete a semi-automated driving task involving lane maintenance, following distance from…

Participants

24

Channels

64 (10-10)

HED

v8.1.0

Size

43.1 GB

Version

v1.0.0

Updated

Aug 19, 2026

…The ability to perceive moving objects is crucial for threat identification and…

Participants

24

Citations

15

Size

82.2 GB

Version

v1.0.0

Updated

Jul 10, 2026