Discover datasets

This dataset contains de-identified resting-state EEG recordings from individuals with Parkinson’s disease (PD) and age-matched healthy control subjects. All EEG data were recorded using standard clinical EEG systems at Neurology Clinic. Dataset Purpose: This dataset was originally used to evaluate whether resting-state EEG can help distinguish subjects who were later deceased from those who remained living (mortality classification). Only de-identified EEG data and mortality labels are includ

Participants

94

Size

1.74 GB

Updated

Jun 6, 2026

VR-CCT Dataset Compassion Island was a social world implemented in AltspaceVR by tecchnology collaborators Origami Air. It was specifically created for the study of VR-based augmentation of compassion cultivation training (CCT). It featured three main settings – a meditation hall, a garden courtyard with a large willow tree, and a clinic. During experimental sessions, participants interacted with two characters in these spaces, represented as

Participants

10

Size

919 MB

Updated

Jun 6, 2026

# BIDS-EEG Dataset: Examining Perceptual Grouping on Stages of Processing in Visual Working Memory: An ERP Study **Authors: Hanane Ramzaoui, Melissa Beck** ## 1. Description: Project Overview We present an electrophysiological dataset recorded from fifty-three subjects performing a bilateral change-detection task to investigate how perceptual grouping, based on color repetition, influences Visual Working Memory (VWM) processing efficiency. The study is designed to temporally isolate and meas

Participants

53

Size

38.5 GB

Updated

Jun 6, 2026

This dataset accompanies the paper “Motor Control Processes Moderate Working Memory Gating,” published in The Journal of Neuroscience. It contains the raw EEG recordings (not preprocessed) from the study, as well as each participant’s behavioral data within the EEG dataset struct (labeled as EEG.behaviordata). Mean age of subjects is 23.7 (sd=2.9). For any of your inquiries, please reach out to the corresponding author: [email protected] You can find the explanation of triggers at"task-V

Participants

32

Size

52.8 GB

Updated

Jun 6, 2026

Neuroimaging Data Collected During Kinesthetic Motor Imagery of Walking vs. Rest ------------------------------------------------------------------------------- This dataset includes multimodal neuroimaging recordings from five participants performing kinesthetic motor imagery (KI) while viewing themselves walking in an exoskeleton. The recordings combine MRI (structural and functional) and EEG data, organized according to the BIDS specification. MRI sessions were conducted after participants c

Participants

5

Size

5.37 GB

Updated

Jun 6, 2026

EEG-Controlled Exoskeleton for Walking and Standing A Longitudinal Motor Imagery Study in Healthy Adults Dataset Overview This dataset contains multimodal recordings from a brain–machine interface (BMI) training study involving seven healthy adult participants (ages 20–30, Mean = 24.3, SD = 3.8). The study focused on open-loop and closed-loop control of a lower-limb exoskeleton (Rex Bionics) using EEG and inertial sensor data. Each participant completed nine sessions over several weeks, structu

Participants

7

Size

3.62 GB

Updated

Jun 2, 2026

# Dataset of Electroencephalograms of Juvenile Offenders ## Project's name Desarrollo de un sistema inteligente multiparamétrico para el reconocimiento de patrones asociados a disfunciones neurocognitivas en jóvenes en conflicto con la ley en el departamento del Atlántico. ## Year of project execution 2021 ## Authors and acknowledgment Aura Polo, Elmer León, Mariana Pino-Melgarejo and Julie Viloria-Porto. Ronald Ruiz for his assistance during the data collection process, and

Participants

140

Size

8.09 GB

Updated

Jun 6, 2026

# High Density Resting State EEG of Phantom Limb Pain and Controls This dataset comprises resting state high density EEG data (64 or 128 channels) collected from three categories of subjects: amputees with phantom limb pain, amputees without phantom limb pain, and intact, pain free controls. The data has been organised accroding to the BIDS standard for more accesible reuse. Recordings are approximately 7 minutes long with eyes opened or closed, as indicated by task. ## Usage For loading and

Participants

38

Size

64.9 GB

Updated

Jun 6, 2026

This dataset, used in the analysis reported by Kochi et al., (2025), contains intracranial EEG recordings from 110 individuals who performed an visual‑naming task. Electrode coordinates are provided in MNI‑305 space. Each EDF file is tagged for the visual naming task with the following event codes: 401 – stimulus onset 501 – response onset Reference: Ryuzaburo Kochi, Aya Kanno, Hiroshi Uda, Keisuke Hatano, Masaki Sonoda, Hidenori Endo, Michael Cools, Robert Rothermel, Aimee F. Luat, Ei

Participants

110

Size

17.5 GB

Updated

Jun 6, 2026

This dataset, used in the analysis reported by Kochi et al., (2025), contains intracranial EEG recordings from 121 individuals who performed an auditory‑naming task. Electrode coordinates are provided in MNI‑305 space. Each EDF file is tagged for the auditory naming task with the following event codes: 401 – stimulus onset 402 – stimulus offset 501 – response onset Reference: Ryuzaburo Kochi, Aya Kanno, Hiroshi Uda, Keisuke Hatano, Masaki Sonoda, Hidenori Endo, Michael Cools, Robert

Participants

121

Size

44.6 GB

Updated

Jun 6, 2026