Discover datasets

This dataset comprises multimodal neurophysiological and biomechanical recordings from 32 young adults performing walking tasks over uneven terrain at varying speeds. Data include high-density dual-layer electroencephalography (EEG), neck electromyography (EMG), inertial measurement unit (IMU) acceleration, ground reaction forces, and structural MRI-derived head models. Each participant completed two trials per condition lasting three minutes, plus a seated rest baseline, providing a comprehensive resource for investigating neural and muscular control mechanisms during dynamic locomotion.

Participants

32

Channels

120 (other)

Size

61.9 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial electrophysiological recordings acquired using BCI2000 software and the CorTec BrainInterchange device. The study establishes an integrated ecosystem of technologies and protocols for adaptive neuromodulation research in human subjects, combining invasive neural recordings with brain-computer interface capabilities.

Participants

3

Size

19.3 GB

Version

vv1.0.0

Updated

Jul 10, 2026

The Nencki-Symfonia EEG/ERP dataset comprises electroencephalography recordings from healthy adults performing multiple cognitive tasks and resting-state protocols. The dataset includes data from an extended multi-source interference task (MSIT+), a 3-stimuli oddball task, a simple reaction time task (SRT), and resting-state recordings. This resource provides event-related potential data suitable for investigating cognitive processing and neural responses across different task conditions.

Participants

42

Channels

127 (10-05)

Size

77.4 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from 37 healthy young adults performing a visual contextual trajectory paradigm (CTP) designed to investigate attribute-specific prediction errors. Participants viewed sequences of visual stimuli where the onset of a bound stimulus either violated or maintained established trajectories in brightness, size, or orientation. The dataset enables investigation of neural mechanisms underlying visual prediction and contextual processing.

Participants

37

Channels

64 (10-10)

Size

39.1 GB

Version

vv1.0.0

Updated

Jul 10, 2026

A registered replication report investigating the psychometric properties of error-related negativity (ERN) and error positivity (Pe) components derived from EEG recordings. This replication study follows a pre-registered protocol to assess the reliability and validity of ERN/Pe measures. Raw EGI MFF files were processed using EEGLAB, with task-specific events recoded into response-locked and stimulus-locked ERN/Pe-relevant event labels, and subsequently converted to BIDS format for standardized data sharing and reproducibility.

Participants

182

Channels

129 (egi-geodesic)

Size

76.4 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset contains local field potential (LFP) recordings from the hippocampus and prefrontal cortex of 6-month-old transgenic TgF344-AD rats during linear track locomotion. The TgF344-AD rat model exhibits Alzheimer's disease-like pathology, making this dataset valuable for investigating neural correlates of spatial navigation and cognitive function in the context of neurodegeneration.

Participants

9

Channels

14 (other)

Size

26.7 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises electroencephalography (EEG) recordings from 53 community participants performing a three-armed bandit reinforcement learning task with alcohol and beverage cues. The study compares neural responses between hazardous drinkers and controls, with data collected between 2019-2021 at the University of New Mexico's Clinical Research Center Lab. The dataset aims to identify electrophysiological markers of aberrant cue-specific exploration patterns associated with hazardous alcohol use.

Participants

53

Channels

66 (10-10)

Size

7.86 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises electroencephalography, physiological, and behavioral data collected from 103 healthy individuals (ages 21-45) during visual illusion perception tasks and resting-state recordings. Participants performed perceptual judgments on three classic visual illusions (Ebbinghaus, Müller-Lyer, and Vertical-Horizontal) with manipulated difficulty and illusion strength, followed by an 8-minute eyes-closed resting-state period. The multimodal dataset includes 64-channel EEG, electrocardiogram, photoplethysmography, and respiration signals, enabling investigation of neural correlates of visual illusion sensitivity and resting-state brain activity.

Participants

103

Channels

59 (10-10)

Size

219 GB

Version

vv1.0.0

Updated

Jul 10, 2026

A resting-state EEG dataset comprising 149 subjects (100 with Parkinson's disease and 49 healthy controls) recorded using a 64-channel BrainVision system. Participants were seated in a quiet environment with eyes open for two minutes of continuous recording. This dataset provides neurophysiological data suitable for investigating oscillatory brain activity and potential biomarkers associated with Parkinson's disease.

Participants

149

Channels

63 (10-10)

Size

2.87 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from 146 participants (98 with Parkinson's disease and 48 healthy controls) performing a Simon conflict task. Participants responded to color-coded stimuli presented laterally on a screen using a 64-channel BrainVision EEG system. The task manipulated spatial congruency between stimulus location and required response hand, enabling investigation of conflict processing and motor control mechanisms in both patient and control populations.

Participants

147

Channels

63 (10-10)

Citations

5

Size

15.8 GB

Version

vv1.0.0

Updated

Jul 10, 2026