nm000146
Motor Imagery dataset from Weibo et al 2014
EEG
- Size
- 1.60 GB
- Updated
- May 25, 2026
Discover datasets
100 results for "multimodal neuroimaging" · page 4 of 10 · ranked by relevance
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- nm000145
Munich Motor Imagery dataset
EEG- Size
- 5.42 GB
- Updated
- May 25, 2026
- ds006033
Synchronous EEG and fMRI dataset on inner speech
MRI EEG- Participants
- 3
- on003380
Corticothalamic communication under analgesia, sedation and gradual ischemia: a multimodal model of controlled gradual cerebral ischemia in pig
EEGImported from OpenNeuro ds003380
- Size
- 1.43 GB
- Updated
- May 23, 2026
- ds004024
TMS-EEG-MRI-fMRI-DWI data on paired associative stimulation and connectivity (Shirley Ryan AbilityLab, Chicago, IL)
EEG MRI- Participants
- 13
- nm000149
BNCI 2019-001 Motor Imagery dataset for Spinal Cord Injury patients
EEG- Size
- 1.20 GB
- Updated
- May 25, 2026
- nm000338
Lee et al. 2019 (Motor Imagery) — EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy
EEGA comprehensive EEG dataset comprising 54 healthy subjects performing three major brain-computer interface (BCI) paradigms—motor imagery, event-related potentials, and steady-state visually evoked potentials—across two sessions. The dataset investigates BCI illiteracy rates and performance variations, revealing that motor imagery exhibits the highest illiteracy rate (53.7%) compared to other paradigms, while all participants demonstrated proficiency with at least one BCI system.
- Size
- 60.8 GB
- Updated
- Jun 3, 2026
- ds005752
The NIMH Healthy Research Volunteer Dataset
MRI MEG- Participants
- 251
- nm000152
Upper-limb elbow-centered motor imagery dataset (10 classes)
EEG- Size
- 1.61 GB
- Updated
- May 25, 2026
- nm000348
Yang et al. 2025 — A multi-day and high-quality EEG dataset for motor imagery brain-computer interface
EEGA multi-day, high-quality EEG dataset for motor imagery brain-computer interface research comprising 51 healthy subjects performing left and right hand motor imagery tasks across three sessions, with an additional 11 subjects performing 3-class motor imagery (left hand, right hand, foot). The dataset includes 59 EEG channels sampled at 1000 Hz with standardized 10-05 electrode montage, totaling 39,600 trials (51 subjects × 3 sessions × 200 trials for 2-class + 11 subjects × 3 sessions × 300 trials for 3-class) with visual and auditory cues. This resource is designed to support the development and benchmarking of motor imagery BCI algorithms and classifiers.
- Size
- 63.4 GB
- Updated
- Jun 3, 2026