nm000145
Munich Motor Imagery dataset
EEG
…two-class motor imagery with arrow cues - **Feedback type**: none - **Stimulus type…
- Participants
- 10
- Channels
- 128 (other)
- Citations
- 74
- HED
- v8.4.0
- Size
- 5.49 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
Discover datasets
100 results for "motor cortex" · page 9 of 10 · ranked by relevance
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- nm000167
Motor imagery dataset from Ma et al. 2020
EEG…2020 Motor imagery dataset from Ma et al. 2020. ## Dataset Overview - **Code…
- Participants
- 25
- Channels
- 62 (10-10)
- Citations
- 52
- HED
- v8.4.0
- Size
- 53.8 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- nm000142
Ear-EEG motor execution dataset from Wu et al 2020
EEG…An investigation of in-ear sensing for motor task classification. Journal of…
- Participants
- 6
- Channels
- 122 (10-05)
- Citations
- 12
- HED
- v8.4.0
- Size
- 18.4 GB
- Version
- v1.0.3
- Updated
- Aug 20, 2026
- nm000138
Alex Motor Imagery dataset
EEG…Cue-based motor imagery paradigm (Step B of Brain Switch campaign) for…
- Participants
- 8
- Channels
- 16 (10-20)
- HED
- v8.4.0
- Size
- 232 MB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on005811
NOD-EEG
EEGNOD-EEG provides electroencephalography (EEG) recordings collected from the same subjects and using the same naturalistic ImageNet stimuli as the previously published NOD-fMRI dataset, extending the Natural Object Dataset (NOD) to include temporal dynamics of visual object recognition. Combined with companion MEG data, this multimodal resource enables investigation of neural mechanisms underlying object recognition across naturalistic scenes with both high spatial and high temporal resolution. The dataset includes raw and preprocessed EEG time series and epoched data, along with detailed trial-level event metadata.
- Participants
- 19
- Channels
- 62 (10-10)
- Citations
- 7
- Size
- 24.3 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on005169
Dataset of intracranial EEG during cortical stimulation evoking visual effects
ANAT iEEGThis dataset comprises intracranial EEG (iEEG) recordings from 22 patients undergoing stereo-EEG presurgical evaluation for drug-resistant epilepsy, capturing responses to 115 high-frequency cortical stimulations that evoked visual hallucinations. Each recording includes 21 seconds of iEEG data surrounding each stimulation event, with detailed annotations of stimulation parameters and 14 categories of evoked clinical visual phenomena. The dataset supports investigation of brain networks underlying stimulation-evoked visual symptoms and enables construction of symptom-related activation and connectivity maps.
- Participants
- 20
- Citations
- 10
- Size
- 4.03 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on003766
A resource for assessing dynamic binary choices in the adult brain using EEG and mouse-tracking
BEH EEGThis dataset combines high-density electroencephalography (128-channel HD-EEG) and mouse-tracking to examine dynamic decision-making processes in the human brain. Collected from 31 adults (ages 18-33), it includes resting-state and task-related EEG data acquired during food preference choices and semantic judgment tasks. The resource provides both raw and preprocessed EEG data with synchronized behavioral measures, enabling investigation of neural correlates underlying binary choice decisions.
- Participants
- 31
- Channels
- 129 (egi-geodesic)
- Citations
- 5
- Size
- 153 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- on004738
sfb_meg_phantom (B04/C01)
MEGThis dataset contains MEG phantom recordings designed to characterize deep brain stimulation (DBS) device-specific artefacts in magnetoencephalography. Using a Neuromag phantom setup, movement onset was captured with an accelerometer to assess artefact behavior associated with DBS hardware. The data support a study investigating how DBS devices affect MEG signal quality and interpretation.
- Participants
- 4
- Size
- 6.13 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000245
Motor Imagery dataset from Cho et al 2017
EEG…EEG datasets for motor imagery brain-computer interface from 52 subjects with…
- Participants
- 52
- Channels
- 64 (10-10)
- Citations
- 91
- HED
- v8.4.0
- Size
- 16.7 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- nm000148
Motor imagery BCI dataset with pupillometry augmentation
EEG…Gruen, "Improving the performance of an EEG-based motor imagery brain computer…
- Participants
- 30
- Channels
- 32 (10-10)
- Citations
- 37
- HED
- v8.4.0
- Size
- 3.22 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026