on003801
Neural Tracking to go
EEG
Imported from OpenNeuro ds003801
- Participants
- 20
- Channels
- 24 (10-10)
- Size
- 1.15 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "neuromotor interfaces" · page 9 of 10 · ranked by relevance
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- on005963
FRESH Motor Dataset
NIRSThe FRESH Motor Dataset is a functional near-infrared spectroscopy (fNIRS) neuroimaging dataset focused on motor cortex activity during motor tasks. This dataset contains raw fNIRS measurements organized according to the Brain Imaging Data Structure (BIDS) standard and is hosted on NEMAR as a mirror of the OpenNeuro dataset (ds005963). The data is suitable for research on motor cortex hemodynamics, neurovascular coupling, and motor control mechanisms. Data are provided in SNIRF format with complete acquisition parameters and participant information.
- Participants
- 10
- Size
- 233 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
- on007221
Cross-Environment Multi-Paradigm Motor Imagery EEG Dataset
EEGThis dataset comprises EEG recordings from 84 healthy participants performing motor imagery tasks across multiple controlled environments (laboratory and simulated hospital), with a supplementary cohort of 3 participants recorded in microgravity conditions in a space station environment. The dataset includes multiple motor imagery paradigms (Graz, SSMVEP-MI, and hybrid variants) with 64-channel EEG recordings at 1000 Hz sampling rate (69 channels acquired, 60 channels used in analysis), designed to investigate environmental effects on brain-computer interface performance and enable cross-environment robustness evaluation. This dataset is a republication of OpenNeuro ds007221 on the NEMAR platform to enhance accessibility and discoverability within the neuroimaging research community.
- Participants
- 84
- Channels
- 69 (10-10)
- Size
- 143 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on004473
sEEG Forced Two-Choice Task
ANAT BEH iEEGThis dataset comprises stereoelectroencephalography (sEEG) recordings from patients performing a forced two-choice response task, collected in the epilepsy monitoring unit at Oregon Health & Science University. The data extends characterization of movement-related neural oscillations using intracranial electrode recordings, providing insights into canonical motor-related activity patterns across distributed brain regions.
- Participants
- 8
- Size
- 14.2 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000227
Eye-BCI Motor Execution dataset from Guttmann-Flury et al 2025
EEGA motor imagery EEG dataset comprising 31 healthy participants performing left and right hand grasping imagery tasks across multiple sessions. The dataset includes 2,520 trials recorded at 1000 Hz using a 64-channel Neuroscan system with standardized electrode montage, designed for brain-computer interface research and motor control applications.
- Participants
- 31
- Citations
- 8
- HED
- v8.4.0
- Size
- 4.71 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000245
Motor Imagery dataset from Cho et al 2017
EEGA motor imagery brain-computer interface dataset comprising EEG recordings from 52 healthy subjects performing kinesthetic imagery of left and right hand finger movements. The dataset includes 100-120 trials per class with concurrent EMG recordings, psychological and physiological questionnaires, 3D electrode coordinates, and non-task-related control states. Mean classification accuracy of 67.46% (±13.17%) demonstrates substantial performance variation across subjects, making it valuable for investigating subject-to-subject transfer in BCI applications.
- Participants
- 52
- Citations
- 92
- HED
- v8.4.0
- Size
- 6.75 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000265
Guttmann-Flury et al. 2025 (Motor Imagery) — Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms
EEGA multimodal neuroimaging dataset combining EEG and eye-tracking recordings from 31 healthy participants performing motor imagery tasks. The dataset comprises 2,520 trials across 63 sessions, with participants imagining left and right hand movements in response to visual cues. Recorded at 1000 Hz using a 64-channel Neuroscan system, this dataset supports brain-computer interface research and motor imagery analysis.
- Participants
- 31
- Channels
- 62 (10-10)
- Citations
- 8
- HED
- v8.4.0
- Size
- 9.22 GB
- Version
- vv1.0.1
- Updated
- Jul 10, 2026
- nm000142
Ear-EEG motor execution dataset from Wu et al 2020
EEG- Participants
- 6
- Channels
- 122 (10-05)
- Citations
- 10
- HED
- v8.4.0
- Size
- 4.93 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000167
Motor imagery dataset from Ma et al. 2020
EEG- Participants
- 25
- Channels
- 62 (10-10)
- Citations
- 50
- HED
- v8.4.0
- Size
- 22.4 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026