Discover datasets

A cross-modal oddball task EEG dataset comprising 146 subjects (98 with Parkinson's disease, 48 controls) collected between 2017-2021. Participants performed a directional response task cued by visual arrows, preceded by synchronized visual and auditory pre-cues that varied between standard and oddball conditions. The dataset includes 64-channel EEG recordings and enables investigation of multimodal sensory processing and cognitive control mechanisms in both healthy and neurodegenerative populations.

Participants

146

Channels

63 (10-10)

Size

13.5 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises electroencephalography (EEG) recordings from 7 participants performing an auditory imagery task, wherein subjects imagined sounds produced by objects from semantic categories (animals and tools) for 5-second intervals. EEG signals were acquired using a 64-channel BioSemi ActiveTwo system sampled at 2048 Hz, with concurrent electrooculography and physiological monitoring. The dataset supports research in semantic decoding and brain-computer interface applications using imagined auditory stimuli.

Participants

7

Channels

64 (10-10)

Size

12.7 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises synchronized electroencephalogram (EEG), electrocardiogram (ECG), and pupillography recordings from 75 participants (36 young and 39 older adults) during auditory cued reaction time tasks and passive listening conditions. Participants performed a simple reaction time task and a go/no-go task, with EEG acquired at 500 Hz using 64 scalp electrodes, ECG recorded bipolarly from chest electrodes, and pupil data sampled at 240 Hz. The dataset is designed to investigate age-related differences in neural, cardiac, and pupillary responses during cognitive and perceptual decision-making tasks.

Participants

75

Channels

61 (10-10)

Size

21.5 GB

Version

vv1.0.0

Updated

Jul 10, 2026

…response and the local field potential”. Contact: Dora Hermes ([email protected]…

Participants

2

Size

637 MB

Version

vv1.0.0

Updated

Jul 10, 2026

…to determine the nature of potential changes to these processes in healthy…

Participants

62

Channels

65 (10-10)

Size

25.1 GB

Version

vv1.0.0

Updated

Jul 10, 2026

…screen, and scores were recorded, potentially including decimal values, to accommodate for…

Participants

39

Channels

64 (10-10)

Size

22.1 GB

Version

vv1.0.0

Updated

Jul 10, 2026

BigP3BCI Study P is a P300-based brain-computer interface dataset comprising EEG recordings from 19 healthy subjects across 2 sessions each, using a 9x8 character grid spelling paradigm. The dataset contains 32-channel EEG data sampled at 256 Hz with standardized 10-20 montage, annotated with target and non-target visual stimulus events. This derivative dataset is part of the largest public P300 BCI dataset collection, and is optimized for machine learning applications in BCI research.

Participants

19

Channels

32 (10-10)

HED

v8.4.0

Size

1.46 GB

Version

vv1.0.1

Updated

Jul 10, 2026

…Brain-Computer Interface, BCI, Broad-Band Visually Evoked Potentials, BBVEP, Gold codes…

Participants

12

Citations

72

HED

v8.4.0

Size

3.48 GB

Version

vv1.0.0

Updated

Jul 10, 2026

Participants

20

Channels

32 (10-10)

Citations

1

Size

7.75 GB

Version

vv1.0.0

Updated

Jul 10, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005932-blue…

Participants

29

Channels

32 (10-10)

Size

2.28 GB

Version

vv1.0.0

Updated

Jul 10, 2026