Discover datasets

This dataset contains 64-channel EEG recorded at 1000 Hz from 31 healthy participants performing a row/column P300 speller task with 4L and 5L grid sizes. Each participant completed three sessions. It is the P300 component of a multimodal eye-BCI collection that also includes eye-tracking and high-speed video for analyzing ocular activity across BCI paradigms. Events are annotated with HED tags as Target and NonTarget flashes.

Participants

31

Channels

62 (10-10)

Citations

13

HED

v8.4.0

Size

40.7 GB

Version

v1.0.4

Updated

Oct 8, 2026

…Deep neural networks have shown great potential for speech decoding applications, but…

Participants

56

Channels

64 (10-10)

Citations

2

Size

25.2 GB

Version

v1.0.0

Updated

Jun 23, 2026

This dataset contains electroencephalography (EEG) recordings from 16 participants viewing object images presented in eight different 2-D rotations. Images were shown in rapid serial visual streams at two presentation rates (5 Hz and 20 Hz). The data support investigation of the time course of rotation-tolerant, high-level object representations in the human brain.

Participants

16

Citations

4

Size

18.3 GB

Version

v1.0.0

Updated

Jun 23, 2026

…Enhanced Online Continuous Brain-Control by Deep Learning-Based EEG Decoding. IEEE…

Participants

15

Channels

62 (10-10)

HED

v8.4.0

Size

5.33 GB

Version

v1.0.0

Updated

Oct 8, 2026

This dataset contains behavioral events and intracranial EEG recordings from epilepsy patients performing a spatial navigation memory task. Participants encoded object locations during guided navigation and later recalled them by self-navigating. Open-loop electrical stimulation was delivered to hippocampal and entorhinal electrodes during encoding on alternating, difficulty-matched trials, with no stimulation at retrieval.

Participants

22

Size

69.7 GB

Version

v1.0.0

Updated

Jun 27, 2026

…R. and Daly, I., 2021. Decoding of semantic categories of imagined concepts…

Participants

12

Channels

64 (biosemi)

Citations

11

Size

24.2 GB

Version

v1.0.0

Updated

Jun 24, 2026

Mobile EEG dataset from 15 healthy young adults who stood still and walked on a treadmill at 0.4, 0.8, 1.2, and 1.6 m/s while viewing a static projected scene through liquid crystal lenses that alternated between transparent and opaque states. The study examines how electrocortical responses to intermittent visual occlusions, in particular alpha synchronization, change with gait speed. It includes 120-channel scalp EEG, noise electrodes, neck EMG, insole ground reaction forces, and lower-back IMU data.

Participants

15

Channels

120 (other)

Size

3.31 GB

Version

v1.0.0

Updated

Jun 30, 2026

…Analysis of the Mel spectrogram and of the phonetic decoding led to…

Participants

27

Citations

52

Size

99.7 GB

Version

v1.0.1

Updated

Jun 3, 2026

A mobile brain/body imaging (MoBI) dataset of 18 participants walking on a treadmill at constant speed while stepping in time to an auditory tone sequence. Participants adapted step length and rate to occasional shifts in the tempo of the pacing stimulus, to a faster or slower tempo. The dataset supports study of cortical dynamics during gait adaptation.

Participants

20

Channels

108 (10-05)

Size

32.0 GB

Version

v1.0.0

Updated

Jun 20, 2026

…Brain State Decoding Lab - **Address**: Brain State Decoding Lab, University of Freiburg…

Participants

12

Channels

31 (10-10)

Citations

27

HED

v8.4.0

Size

4.81 GB

Version

v1.0.3

Updated

Oct 8, 2026