on004475
Mobile EEG split-belt walking study
ANAT EEG
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- Citations
- 35
- Size
- 113 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "Motor Learning" · page 5 of 10 · ranked by relevance
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- on003801
Neural Tracking to go
EEGImported from OpenNeuro ds003801
- Participants
- 20
- Channels
- 24 (10-10)
- Size
- 1.15 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000230
Lower-limb MI dataset for knee pain patients from Zuo et al. 2025
EEG…CSP, FBCSP, deep_learning, Riemannian_geometry - **Frequency bands**: alpha_mu=[8.0…
- Participants
- 30
- Channels
- 30 (10-10)
- Citations
- 3
- HED
- v8.4.0
- Size
- 19.4 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- nm000249
BNCI 2022-001 EEG Correlates of Difficulty Level dataset
EEG…drone control, adaptive learning, difficulty regulation, visuomotor learning - **Environment**: indoor laboratory - **Online…
- Participants
- 13
- Channels
- 64 (10-10)
- Citations
- 26
- HED
- v8.4.0
- Size
- 9.42 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- nm000144
BNCI 2015-004 Mental tasks dataset
EEG…word association (WORD), mental subtraction (SUB), spatial navigation (NAV), motor imagery of…
- Participants
- 9
- Channels
- 30 (10-10)
- Citations
- 74
- HED
- v8.4.0
- Size
- 2.74 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- nm000267
Shin et al. 2017 (Experiment A) — Open Access Dataset for EEG+NIRS Single-Trial Classification
EEG…left vs right hand motor imagery (kinesthetic imagery of opening and closing…
- Participants
- 29
- Channels
- 30 (10-05)
- Citations
- 94
- HED
- v8.4.0
- Size
- 6.50 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000323
Lee et al. 2019 (ERP) — EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy
EEG…In training: 'NEURAL NETWORKS AND DEEP LEARNING' (33 characters), in test: 'PATTERN…
- Participants
- 54
- Channels
- 62 (10-05)
- Citations
- 100
- HED
- v8.4.0
- Size
- 132 GB
- Version
- v1.0.4
- Updated
- Aug 18, 2026
- on004279
Large Spanish EEG
EEG…repeat the sentence without any motor action. The experimental design, a modified…
- Participants
- 56
- Channels
- 64 (10-10)
- Size
- 25.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000268
Shin et al. 2017 (Experiment B) — Open Access Dataset for EEG+NIRS Single-Trial Classification
EEG…Department of Computer Science, Machine Learning Group Address: 10587 Berlin, Germany Country…
- Participants
- 29
- Channels
- 30 (10-05)
- Citations
- 94
- HED
- v8.4.0
- Size
- 6.62 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on007353
HAD-MEEG
ANAT EEG MEGHAD-MEEG is a magnetoencephalography (MEG) and electroencephalography (EEG) dataset recorded from 30 participants viewing 21,600 video clips spanning 180 categories of human action, extending the previously released Human Action Dataset (HAD) fMRI resource. It was collected in the same participants and with the same stimuli as HAD-fMRI to enable combined spatiotemporal investigation of neural mechanisms underlying human action recognition. The dataset leverages the millisecond-level temporal resolution of M/EEG to complement the spatial precision of fMRI.
- Participants
- 32
- Channels
- 62 (10-10)
- Citations
- 5
- Size
- 221 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026