nm000148
Motor imagery BCI dataset with pupillometry augmentation
EEG
- Participants
- 30
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 975 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "neurophysiological alterations" · page 10 of 10 · ranked by relevance
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- on004504
A dataset of EEG recordings from: Alzheimer's disease, Frontotemporal dementia and Healthy subjects
EEG[
- Citations
- 133
- Size
- 5.38 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000114
MDD Patients and Healthy Controls EEG Data
EEG…This dataset enables research on neurophysiological biomarkers of depression, comparative studies of…
- Participants
- 64
- Channels
- 22 (10-20)
- Citations
- 161
- Size
- 721 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000181
NMT: Neurodiagnostic Montage Template Scalp EEG
EEG2417 clinical EEG recordings, 19-ch 10-20 montage, normal/abnormal labels. EDF format. Zenodo DOI:10.5281/zenodo.10909103
- Participants
- 2417
- Channels
- 21 (10-20)
- Size
- 13.8 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000259
Speier et al. 2017 — A comparison of stimulus types in online classification of the P300 speller using language models
EEGThis dataset comprises EEG recordings from 10 healthy participants performing a P300 speller task using a 6×6 character matrix. The study compares two stimulus conditions—famous faces and inverting—to evaluate their effects on online P300 classification performance using language models. Data were collected across 2 sessions per subject with 3 runs per session, sampled at 256 Hz from 32 EEG channels.
- Participants
- 10
- Channels
- 32 (10-10)
- Citations
- 28
- HED
- v8.4.0
- Size
- 288 MB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on006803
NeuroTechs Dataset for Stem Skills
EEGThe NeuroTechs Dataset for Stem Skills is an EEG neuroimaging dataset designed to investigate neural correlates of science, technology, engineering, and mathematics (STEM) skill acquisition and performance. The dataset contains electroencephalographic recordings from participants and is formatted according to the Brain Imaging Data Structure (BIDS) standard, facilitating standardized analysis and reproducibility in cognitive neuroscience research.
- Participants
- 63
- Channels
- 8 (10-10)
- Size
- 1.39 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004120
BCIT Baseline Driving
EEG[
- HED
- v8.0.0
- Size
- 302 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000338
Lee et al. 2019 (Motor Imagery) — EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy
EEGA comprehensive EEG dataset comprising 54 healthy subjects performing three major brain-computer interface (BCI) paradigms—motor imagery, event-related potentials, and steady-state visually evoked potentials—across two sessions. The dataset investigates BCI illiteracy rates and performance variations, revealing that motor imagery exhibits the highest illiteracy rate (53.7%) compared to other paradigms, while all participants demonstrated proficiency with at least one BCI system.
- Participants
- 23
- Channels
- 62 (10-05)
- Citations
- 98
- HED
- v8.4.0
- Size
- 60.8 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on006979
Examining Perceptual Grouping on Stages of Processing in Visual Working Memory: An ERP Study
EEG…Primary Neurophysiological Measurements The study leverages the following ERP components to index…
- Participants
- 53
- Channels
- 64 (10-10)
- Size
- 269 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007347
Sterotactic Focused Ultrasound Mesencephalotomy for the Treatment of Head and Neck Cancer Pain
ANAT EEG# README # WARNING Below is a template to write a README file for…
- Participants
- 5
- Channels
- 50 (other)
- Size
- 1.65 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026