Discover datasets

This dataset contains EEG recordings from elderly patients with dementia undergoing 40Hz auditory gamma-band entrainment sessions. The study investigates whether auditory stimulation modulated at 40Hz can entrain brain oscillations and enhance functional connectivity, particularly within the default mode network, as a potential intervention for Alzheimer's disease symptoms. Both short and long entrainment sessions were conducted to accommodate participant tolerance, with EEG data collected using a 19-channel 10/20 system setup.

Participants

35

Channels

19 (10-20)

Citations

32

Size

356 MB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset presents multimodal simultaneous fMRI/EEG data collected from participants performing an auditory category learning task, alongside resting-state fMRI scans. Each dataset includes 63-channel EEG with additional ECG, EOG, facial EMG, and skin conductance recordings, a physiological file capturing respiration and finger-pulse signals, and structural MRI (T1-weighted and PD-weighted UTE) scans for anatomical reference and electrode localization. Collected at the Combinatorial NeuroImaging core facility of the Leibniz Institute for Neurobiology, the data support research into multi-dimensional auditory category learning and its neural correlates.

Participants

34

Channels

72 (10-10)

Citations

9

Size

6.43 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains 64-channel EEG recordings from 62 participants (31 pairs) who played a competitive, computerised version of the Rock-Paper-Scissors game across 480 games. The study investigates the neural correlates of competitive decision-making during real-time social interaction. This dataset supports research on neural decoding of strategic choices in a dyadic competitive context.

Participants

31

Channels

64

Citations

6

Size

78.0 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG data from the Word Processing task of the PURSUE project, collected to elicit the N400 event-related potential (ERP) component associated with semantic word processing. Data were collected from participants at three primarily undergraduate institutions in Southern California, Massachusetts, and Virginia during 2017 and 2018. The task design follows the ERP CORE paradigm developed by Kappenman et al. (2021).

Participants

288

Channels

32 (10-10)

Size

8.98 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains preprocessed EEG recordings from 6 healthy participants performing imagined speech tasks with three short word conditions (out, in, up). Data were acquired at 256 Hz using 64 channels and analyzed using Riemannian manifold methods and relevance vector machines for brain-computer interface applications. The motor imagery paradigm employed auditory and visual cueing, yielding 5,400 trials suitable for BCI research and benchmarking.

Participants

6

Channels

60 (10-10)

Citations

98

HED

v8.4.0

Size

1.90 GB

Version

v1.0.3

Updated

Aug 18, 2026

This dataset contains EEG recordings from an ERP priming study investigating neural associations between fingerspelling, print, and signs in deaf readers. Participants viewed prime-target pairs consisting of English words, ASL signs, or fingerspelled words followed by English word targets, allowing examination of cross-modal semantic priming effects. The study was conducted at San Diego State University's NeuroCognition Laboratory.

Participants

24

Channels

32 (10-10)

Size

2.62 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains non-invasive electrophysiological recordings from the human spinal cord in 30 healthy young adults during a temporal expectation paradigm. Subjects received electric median nerve stimulation preceded by an auditory cue with either fixed or variable timing, allowing investigation of whether temporal expectation modulates initial sensory processing at the spinal level. Recordings used a specialized multi-ring electrode montage around the neck to capture spinal cord signals.

Participants

30

Channels

24 (other)

Size

92.8 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises EEG and synchronized audio recordings collected for brain-based speech decoding research. It includes overt speech production, auditory listening, and covert speech imagery tasks recorded with multiple EEG acquisition systems (g.tec g.Pangolin, g.tec g.SCARABEO, ANT Neuro eego sports). The dataset supports research on neural correlates of speech production and perception, and brain-computer interface decoding of speech from EEG signals.

Participants

3

Channels

128 (other)

Citations

3

Size

1.54 TB

Version

v1.0.0

Updated

Aug 18, 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 target and non-target visual stimuli annotated using HED 8.4.0 schema. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset, and is optimized for machine learning applications in BCI research.

Participants

19

Channels

32 (10-10)

HED

v8.4.0

Size

4.96 GB

Version

v1.0.3

Updated

Aug 18, 2026

This dataset provides bimodal EEG and fMRI recordings acquired non-simultaneously during an inner-speech production task. Four healthy, right-handed participants silently produced eight words drawn from two semantic categories (social and numerical) across multiple trials. The dataset aims to support the development of speech prostheses and brain-computer interfaces by enabling multimodal fusion of high temporal (EEG) and high spatial (fMRI) resolution neuroimaging data.

Participants

4

Channels

64 (10-10)

Citations

27

Size

9.33 GB

Version

v1.0.0

Updated

Aug 19, 2026