nm000346
CastillosCVEP100
EEG
…Human Factors and Neuroergonomics Address: 10 Av. Edouard Belin, Toulouse, 31400, France…
- Participants
- 12
- Citations
- 20
- HED
- v8.4.0
- Size
- 148 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
Discover datasets
81 results for "neuroergonomics" · page 2 of 9 · ranked by relevance
-
- nm000115
Zhou2016
EEG- Participants
- 4
- Channels
- 14 (10-10)
- Citations
- 79
- Size
- 152 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000342
CastillosCVEP40
EEG…Human Factors and Neuroergonomics Address: 10 Av. Edouard Belin, Toulouse, 31400, France…
- Participants
- 12
- Citations
- 21
- HED
- v8.4.0
- Size
- 143 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on004460
EEG and motion capture data set for a full-body/joystick rotation task
EEG MOTIONThis dataset comprises simultaneous EEG and motion capture recordings from 20 healthy adults performing a spatial orientation task involving full-body heading changes. Participants completed a spot rotation task under two conditions: joystick-controlled visual rotation on a 2D display and physical full-body rotation in a virtual reality environment. The dataset includes 157-channel EEG data (129 scalp + 28 neck electrodes) sampled at 1000 Hz and multi-camera motion capture data at 90 Hz, enabling investigation of cortical dynamics and sensorimotor integration during naturalistic spatial navigation.
- Participants
- 20
- Channels
- 160 (other)
- Size
- 61.3 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000345
CastillosBurstVEP40
EEG…Human Factors and Neuroergonomics Address: 10 Av. Edouard Belin, Toulouse, 31400, France…
- Participants
- 12
- Citations
- 20
- HED
- v8.4.0
- Size
- 142 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on004017
Embodied Learning for Literacy EEG
EEGThis EEG dataset comprises recordings from children performing letter discrimination and visual search tasks across three experimental stages: pre-intervention baseline, intervention measurement, and post-intervention assessment. Participants were assigned to intervention and control groups to evaluate the effects of embodied learning on literacy-related neural processing. The dataset includes event markers corresponding to stimulus presentations of letters 'b' and 'd', enabling analysis of neural responses to letter discrimination and visual search performance.
- Participants
- 21
- Channels
- 64 (10-10)
- Size
- 36.6 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on003194
Neuroepo multisession
EEGImported from OpenNeuro ds003194
- Participants
- 15
- Channels
- 19 (10-20)
- Size
- 189 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on007554
Multimodal dataset from the CMx7-MM Experiment
BEH EEG NIRSA multimodal neurophysiological dataset acquired from 30 healthy adults performing a hierarchy of cognitive, motor, and combined cognitive-motor tasks. The dataset includes concurrent EEG, functional near-infrared spectroscopy (fNIRS), electrocardiography, electromyography, and behavioral measures across three sessions. This resource enables investigation of brain-behavior relationships during isolated and integrated cognitive-motor processing.
- Participants
- 30
- Channels
- 32 (10-10)
- Size
- 4.20 GB
- Version
- vv1.0.0
- 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
- vv1.0.0
- 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
- vv1.0.0
- Updated
- Jul 10, 2026