ds005811
NOD-EEG
EEG
- Participants
- 19
Discover datasets
97 results for "neuroergonomics" · page 9 of 10 · ranked by relevance
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- nm000255
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 2
BEH EEGThe Brain, Body, and Behaviour Dataset (Experiment 2) is a multimodal neurophysiological dataset comprising 31 subjects across 2 sessions designed to investigate incidental learning and attentional modulation. Participants watched five educational videos under attentive and distracted conditions while simultaneous recordings of EEG, ECG, EOG, eye-tracking, and pupil dynamics were acquired. This derivative dataset includes preprocessed physiological signals and behavioral responses to memory questionnaires, providing a comprehensive resource for studying the neural and physiological correlates of attention, learning, and cognitive load.
- Size
- 5.23 GB
- Updated
- Jun 3, 2026
- ds005397
Affordances of stairs
EEG- Participants
- 26
- nm000151
Motor imagery dataset for three imaginary states of the same upper extremity
EEG- Size
- 3.20 GB
- Updated
- May 16, 2026
- ds006890
Longitudinal Multitask Wireless ECoG Data from Two Fully Implanted Macaca fuscata
iEEG- Participants
- 2
- ds007537
A multimodal dataset of EEG, eye-tracking, and physiological signals during smartphone interaction
EEG BEH- Participants
- 23
- ds004514
Simultaneous recordings of EEG and fNIRS of semantic categories of imagined concepts of animals and tools
EEG NIRS- Participants
- 12
- nm000268
Shin et al. 2017 (Experiment B) — Open Access Dataset for EEG+NIRS Single-Trial Classification
EEGThis open-access hybrid brain-computer interface dataset combines simultaneous EEG and near-infrared spectroscopy (NIRS) recordings from 29 healthy subjects performing mental arithmetic and motor imagery tasks. Experiment B focuses on mental arithmetic (serial subtraction) versus rest conditions across six sessions with 20 trials per session. The dataset includes preprocessed EEG data (30 channels, 200 Hz sampling rate) with comprehensive artifact correction and has been validated for single-trial classification using common spatial patterns and linear discriminant analysis.
- Size
- 1.87 GB
- Updated
- Jun 3, 2026
- nm000200
BigP3BCI Study I — 9x8 checkerboard/performance-based (13 healthy subjects)
EEG- Size
- 319 MB
- Updated
- Jun 2, 2026
- ds005688
visStim
EEG- Participants
- 20