ds002680
Go-nogo categorization and detection task
EEG
- Participants
- 14
Discover datasets
97 results for "neuroergonomics" · page 5 of 10 · ranked by relevance
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- nm000173
Motor Imagery ataset from Ofner et al 2017
EEG- Size
- 8.54 GB
- Updated
- May 18, 2026
- ds006839
EEG recordings during sham neurofeedback in virtual reality
EEG- Participants
- 36
- nm000165
MUniverse Grison et al 2025
EMGBIDS-EMG dataset from Grison et al. 2025 - HDsEMG recordings of tibialis anterior during isometric contractions at 10-70% MVC, 1 subject, 128-channel grids (2x64), with concurrent intramuscular EMG ground truth labels (MUniverse benchmark)
- Size
- 2.68 GB
- Updated
- Jun 1, 2026
- ds003766
HD-EEG task with mouse tracking
EEG- Participants
- 31
- nm000339
Stieger et al. 2021 — Continuous sensorimotor rhythm based brain computer interface learning in a large population
EEGA large longitudinal dataset of sensorimotor rhythm-based brain-computer interface (BCI) training in 62 healthy adults. The dataset comprises over 600 hours of EEG recordings collected across up to 11 training sessions per participant, containing more than 250,000 trials of motor-imagery tasks (left hand, right hand, both hands, and rest). This resource enables investigation of BCI learning dynamics and algorithm development for non-invasive neural control applications.
- Size
- 371 GB
- Updated
- Jun 3, 2026
- nm000106
FRL Handwriting: Handwriting Decoding from Surface Electromyography
EMGNEMAR Dataset nm000106: handwriting - Handwriting movement detection from EMG
- Size
- 75.5 GB
- Updated
- May 16, 2026
- ds005932
PWIe
EEG- Participants
- 29
- nm000160
Multi-joint upper-limb MI dataset from Yi et al. 2025
EEG- Size
- 20.3 GB
- Updated
- May 25, 2026
- nm000256
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 3
BEH EEGThe Brain, Body, and Behaviour Dataset - Experiment 3 is a multimodal neurophysiological dataset comprising 29 subjects across 2 sessions designed to investigate the effects of attentional state on learning from educational videos. Participants watched six educational videos under two conditions: attentive (with post-video testing) and distracted (with concurrent cognitive load), while simultaneous recordings of brain activity, cardiovascular function, eye movements, and head motion were collected. The dataset includes concurrent EEG, ECG, EOG, gaze tracking, pupil size, and head position data, along with behavioral measures including memory questionnaires and ADHD symptom assessments.
- Size
- 7.44 GB
- Updated
- Jun 3, 2026