on007181
Structural MRI, Resting-state fMRI, and PSG/EEG Dataset of Zoster-associated Neuralgia
ANAT EEG FUNC
Imported from OpenNeuro ds007181
- Size
- 59.2 GB
- Updated
- May 25, 2026
Discover datasets
91 results for "mobile neuroimaging" · page 7 of 10 · ranked by relevance
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- ds007615
LDAEP and resting-state EEG in healthy women
EEG…organizing and describing outputs of neuroimaging experiments. Scientific Data, 3(1), 160044…
- Participants
- 69
- nm000166
M3CV: Multi-subject, Multi-session, Multi-task EEG Database
EEG64-ch EEG, 95 subjects, 2 sessions, 6 paradigms (13 tasks). BrainAmp 250Hz Easycap 64-ch. DOI:10.1016/j.neuroimage.2022.119666
- Size
- 21.6 GB
- Updated
- May 18, 2026
- nm000148
Motor imagery BCI dataset with pupillometry augmentation
EEG- Size
- 975 MB
- 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
- nm000134
Alljoined-1.6M
EEG- Size
- 7.75 GB
- Updated
- May 18, 2026
- ds007788
Dataset: EEG-Controlled Exoskeleton for Walking and Standing - A Longitudinal Study of Healthy Individuals
EEG MOTION- Participants
- 7
- on004362
EEG Motor Movement/Imagery Dataset
EEGImported from OpenNeuro ds004362
- Size
- 11.1 GB
- Updated
- May 23, 2026
- nm000268
Shin et al. 2017 (Experiment B) — Open Access Dataset for EEG+NIRS Single-Trial Classification
EEGThis open-access hybrid brain-computer interface dataset combines simultaneous EEG and near-infrared spectroscopy (NIRS) recordings from 29 healthy subjects performing mental arithmetic and motor imagery tasks. Experiment B focuses on mental arithmetic (serial subtraction) versus rest conditions across six sessions with 20 trials per session. The dataset includes preprocessed EEG data (30 channels, 200 Hz sampling rate) with comprehensive artifact correction and has been validated for single-trial classification using common spatial patterns and linear discriminant analysis.
- Size
- 1.87 GB
- Updated
- Jun 3, 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