Discover datasets

This dataset contains 32-channel EEG recordings from 22 healthy adults performing a visual imagery task involving 10 categories of animals, figures, and objects. Data were collected across two sessions per subject using a Neuracle NeuSenW32 system at 1000 Hz sampling rate, and are formatted according to BIDS for use in brain-computer interface research. The dataset supports evaluation of classification approaches such as CSP and EEGNet for decoding imagined visual categories from EEG signals.

Participants

22

Channels

32 (10-10)

Citations

2

HED

v8.4.0

Size

75.4 GB

Version

v1.0.3

Updated

Aug 20, 2026

…Participants produced one of 5 color words (green, magenta, orange, violet, yellow…

Participants

3

Channels

128 (other)

Citations

1

Size

1.62 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains intracranial EEG (ECoG) recordings from two subjects performing a visual fixation task involving high-contrast gratings and noise pattern stimuli. The data were collected to investigate stimulus-dependent gamma oscillations and the relationship between neuronal synchrony, BOLD responses, and local field potentials in human visual cortex. The dataset supports two published studies on visual cortical electrophysiology.

Participants

2

Citations

1

Size

637 MB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises pooled electrooculography (EOG) data from 41 participants across two studies investigating the relationship between eye blinks and attention during a competing speaker paradigm. Participants performed selective auditory attention tasks while listening to competing audiobooks, with experimental conditions varying between studies regarding sound presentation (omnidirectional versus beamforming). The dataset integrates EOG recordings from Jaeger et al. (2020) and Holtze et al. (2021) to enable comparative analysis of oculomotor behavior during dichotic listening tasks.

Participants

41

Channels

7 (egi-geodesic)

Citations

2

Size

8.01 GB

Version

v1.0.0

Updated

Jul 10, 2026

MEG-SCANS is a magnetoencephalography (MEG) dataset comprising raw and MaxFiltered recordings from 24 German-speaking participants performing an auditory speech experiment. Stimuli included audiobooks, Oldenburger Matrix Sentence Test sentences at varying intelligibility levels for speech reception threshold assessment, and chirp stimuli for signal quality checks. The dataset also includes structural MRI scans, hearing screening results, empty-room recordings, and audio stimulus materials, organized in BIDS format to support encoding/decoding analyses of speech-evoked brain responses.

Participants

24

Citations

1

Size

204 GB

Version

v1.0.0

Updated

Aug 19, 2026

…The experiment consists of participants studying a list of words, presented visually…

Participants

18

Size

34.7 GB

Version

v1.0.0

Updated

Aug 19, 2026

A multimodal neuroimaging dataset combining EEG, eye-tracking, and high-speed video recordings from 31 healthy participants performing motor imagery and motor execution tasks. The dataset comprises 2,520 trials across 63 sessions with 64-channel EEG recordings at 1000 Hz sampling rate, focusing on left and right hand grasping imagery. This resource supports the development and benchmarking of brain-computer interface (BCI) systems for motor control applications.

Participants

31

Citations

11

HED

v8.4.0

Size

4.65 GB

Version

v1.0.0

Updated

Jul 10, 2026

A high-density 124-channel EEG dataset comprising event-related potentials (ERPs) from 10 healthy participants during a visual object recognition task. Participants viewed 5,184 photographs from six object categories (human body, human face, animal body, animal face, fruit/vegetable, and inanimate objects), with 72 photographs per category, presented for 500 ms each. The dataset is suitable for investigating neural representations of object categories through single-trial EEG classification and representational similarity analysis.

Participants

10

Channels

124 (egi-geodesic)

Citations

93

HED

v8.4.0

Size

3.40 GB

Version

v1.0.3

Updated

Aug 18, 2026

…Towards decoding individual words from non-invasive brain recordings. Nature Communications 16…

Participants

50

Citations

29

Size

299 GB

Version

v1.0.0

Updated

Jul 10, 2026

…2s), and rest (12s). - 8 words were presented in random order, each…

Participants

3

Channels

64

Citations

1

Size

15.3 GB

Version

v1.0.0

Updated

Aug 19, 2026