nm000103
Healthy Brain Network EEG - Not for Commercial Use
EEG
NEMAR Dataset nm000103: HBN-EEG NC - Healthy Brain Network EEG data
- Participants
- 447
- Channels
- 129 (egi-geodesic)
- HED
- v8.3.0
- Size
- 250 GB
- Version
- v2.0.0
- Updated
- Jul 10, 2026
Discover datasets
66 results for "neurocognitive dysfunction" · page 3 of 7 · ranked by relevance
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- on004511
Deception_data
BEH EEGThis dataset comprises electroencephalography, physiological, and behavioral data collected from 44 healthy individuals (ages 21-40) during resting-state and task-based conditions. Participants completed a spontaneous deception task (Gambling Game) and cognitive control assessments involving processing speed, response selection, response inhibition, and conflict resolution. The dataset includes concurrent EEG recordings at 3000 Hz and multimodal physiological signals (ECG, respiration, electrodermal activity, electromyography) at 4000 Hz, providing a comprehensive neurophysiological characterization of deception and cognitive control processes. This dataset is derived from and reformatted from the OpenNeuro source dataset (doi:10.18112/openneuro.ds004511.v1.0.2) into BIDS format for the NEMAR repository.
- Participants
- 45
- Channels
- 139 (other)
- Size
- 202 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004621
The Nencki-Symfonia EEG/ERP dataset
EEGThe 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
- v1.0.0
- Updated
- Jul 10, 2026
- nm000343
Hinss et al. 2021 — Open multi-session and multi-task EEG cognitive Dataset for passive brain-computer Interface Applications
EEGThis dataset comprises multi-session, multi-task EEG recordings from 15 healthy participants performing resting state and graded difficulty levels of the MATB-II task. Acquired at 500 Hz using 62 active electrodes, the dataset includes 90 trials per participant across two sessions and is designed to support passive brain-computer interface applications and mental workload estimation in neuroergonomic contexts. The dataset is in raw, unpreprocessed state and has been formatted according to BIDS standards for accessibility and reproducibility.
- Participants
- 15
- Channels
- 61 (10-10)
- Citations
- 59
- HED
- v8.4.0
- Size
- 1.22 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on002338
A multi-modal human neuroimaging dataset for data integration: simultaneous EEG and fMRI acquisition during a motor imagery neurofeedback task: XP2
ANAT EEG FUNCThis dataset comprises simultaneous 64-channel EEG and 3T fMRI recordings from 16 subjects performing motor imagery and neurofeedback tasks. Participants were randomly assigned to receive either mono-dimensional or bi-dimensional neurofeedback displays during five experimental runs with alternating rest and task blocks. The dataset includes raw EEG data in Brain Vision format, preprocessed EEG data, BOLD fMRI acquisitions, computed neurofeedback scores from both modalities (EEG and fMRI), and event timing files, providing a comprehensive resource for multimodal neuroimaging data integration studies.
- Participants
- 17
- Size
- 25.9 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005514
Healthy Brain Network (HBN) EEG - Release 9
EEGImported from OpenNeuro ds005514
- Participants
- 295
- Channels
- 129 (egi-geodesic)
- HED
- v8.3.0
- Size
- 185 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006171
EEG data during three near-threshold visual detection tasks: a no-cue task, a noninformative cue task (50% validity), and an informative cue task (100% validity)
EEGThis dataset comprises electroencephalography (EEG) recordings from participants performing three near-threshold visual detection tasks with varying cue validity conditions: a no-cue baseline task, a noninformative cue task (50% validity), and an informative cue task (100% validity). The study investigates the neural mechanisms underlying visual perception at detection threshold, with particular focus on prestimulus alpha-band activity and its relationship to perceptual performance.
- Participants
- 36
- Channels
- 128 (10-05)
- Size
- 67.8 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003838
EEG, pupillometry, ECG and photoplethysmography, and behavioral data in the digit span task and rest
BEH EEGThis dataset comprises multimodal physiological recordings from 86 participants during resting state and a digit span working memory task. It includes 64-channel EEG, electrocardiography, photoplethysmography, pupillometry, and behavioral performance data. The dataset enables investigation of neural and peripheral physiological correlates of cognitive load, working memory capacity, and cognitive overload detection across fine temporal scales.
- Participants
- 86
- Channels
- 63 (10-10)
- Size
- 253 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005512
Healthy Brain Network (HBN) EEG - Release 8
EEGImported from OpenNeuro ds005512
- Participants
- 257
- Channels
- 129 (egi-geodesic)
- HED
- v8.3.0
- Size
- 157 GB
- Version
- v1.0.0
- 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