nm000137
Classical motor imagery dataset with left hand, right hand, and rest
EEG
- Participants
- 7
- Channels
- 19 (10-20)
- Citations
- 82
- HED
- v8.4.0
- Size
- 623 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
Discover datasets
81 results for "neuroergonomics" · page 4 of 9 · ranked by relevance
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- on006035
somatomotor
ANAT MEGA multi-modal neuroimaging dataset combining structural MRI, magnetoencephalography (MEG), and electroencephalography (EEG) recordings from multiple subjects during median nerve electrical stimulation and motor response tasks. Participants performed rapid left index finger lifts in response to right median nerve stimuli, providing a comprehensive resource for investigating somatosensory processing and motor control mechanisms.
- Participants
- 5
- Size
- 3.07 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on006902
Profound neuronal differences during Exercise-Induced Hypoalgesia between athletes and non-athletes revealed by functional near-infrared spectroscopy
NIRSThis functional near-infrared spectroscopy (fNIRS) dataset investigates neuronal mechanisms underlying exercise-induced hypoalgesia in endurance athletes versus non-athletes. Twenty-two athletes and twenty non-athletes performed high-intensity interval training (HIIT) while brain oxygenation was monitored across pain-processing regions including the prefrontal cortex, sensorimotor cortices, and posterior parietal cortex. The study reveals distinct neural activation patterns and pain reduction responses between groups, with athletes demonstrating greater oxyhemoglobin increases in the posterior parietal cortex during exercise and significant post-HIIT decreases in pain perception correlated with prefrontal cortex deactivation.
- Participants
- 42
- Size
- 5.51 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000177
Multi-session longitudinal motor imagery EEG dataset (Kumar et al. 2024)
EEGA longitudinal motor imagery EEG dataset from 18 brain-computer interface (BCI)-naive subjects acquired across 6 sessions (1 offline + 5 online) to investigate transfer learning and domain adaptation for calibration-free BCI training. Subjects performed left/right hand motor imagery tasks with visual feedback using 22 EEG channels sampled at 512 Hz. The dataset compares Generic Recentering (unsupervised) and Personally Assisted Recentering (supervised) domain adaptation frameworks, with features extracted as covariance matrices and classified using Riemannian geometry-based methods.
- Participants
- 18
- Channels
- 22 (10-10)
- HED
- v8.4.0
- Size
- 1.66 GB
- Version
- vv1.0.1
- Updated
- Jul 10, 2026
- on003195
Placebo Neuroepo multisession
EEGImported from OpenNeuro ds003195
- Participants
- 10
- Channels
- 19 (10-20)
- Citations
- 1
- Size
- 121 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000149
BNCI 2019-001 Motor Imagery dataset for Spinal Cord Injury patients
EEG- Participants
- 10
- Channels
- 61 (10-05)
- HED
- v8.4.0
- Size
- 1.20 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on004625
Mind in Motion Young Adults Walking Over Uneven Terrain
EEGThis dataset comprises multimodal neurophysiological and biomechanical recordings from 32 young adults performing walking tasks over uneven terrain at varying speeds. Data include high-density dual-layer electroencephalography (EEG), neck electromyography (EMG), inertial measurement unit (IMU) acceleration, ground reaction forces, and structural MRI-derived head models. Each participant completed two trials per condition lasting three minutes, plus a seated rest baseline, providing a comprehensive resource for investigating neural and muscular control mechanisms during dynamic locomotion.
- Participants
- 32
- Channels
- 120 (other)
- Size
- 61.9 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000145
Munich Motor Imagery dataset
EEG- Participants
- 10
- Channels
- 128 (other)
- HED
- v8.4.0
- Size
- 5.42 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000173
Motor Imagery ataset from Ofner et al 2017
EEG- Participants
- 15
- Channels
- 61 (10-05)
- Citations
- 95
- HED
- v8.4.0
- Size
- 8.54 GB
- Version
- vv1.0.1
- Updated
- Jul 10, 2026
- on002034
Real-time EEG feedback on alpha power lateralization leads to behavioral improvements in a covert attention task
EEGThis dataset contains EEG recordings from 14 healthy participants performing a covert attention task with real-time neurofeedback based on alpha power lateralization. The study investigates whether real-time EEG feedback on alpha power lateralization can lead to behavioral improvements in a covert attention task, employing a single-blinded crossover design comparing real versus sham feedback conditions across three recording sessions.
- Participants
- 14
- Channels
- 64 (10-10)
- Size
- 10.1 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026