on006035
somatomotor
ANAT MEG
…Multi-subject, multi-modal (sMRI+MEG+EEG) neuroimaging dataset for median nerve…
- Participants
- 5
- Size
- 3.07 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
Discover datasets
100 results for "multimodal neuroimaging" · page 8 of 10 · ranked by relevance
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- nm000271
Chang et al. 2025 — A multi-paradigm EEG dataset for studying upper limb rehabilitation exercises (Lanzhou Jiaotong University)
EEGThis dataset contains scalp EEG recordings from 28 participants performing or imagining upper-limb rehabilitation exercises under a multi-paradigm protocol. It was designed to support research on motor-imagery-based brain–computer interfaces (BCI) for upper-limb rehabilitation. The data have been converted to BIDS format from the original dataset published by Chang et al. (2025).
- Participants
- 28
- Channels
- 59 (10-10)
- Citations
- 3
- HED
- v8.4.0
- Size
- 47.1 GB
- Version
- v1.0.5
- Updated
- Aug 20, 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 paradigms (Graz motor imagery, SSMVEP-MI, and hybrid video/SSVideo paradigms) in two distinct recording environments: a controlled electromagnetically shielded laboratory and a simulated multi-sensory hospital setting. A supplementary dataset from 3 participants recorded in a space station environment is also included, extending the study to microgravity conditions. The dataset is intended to support research on cross-environment robustness, cross-subject decoding, and benchmarking of EEG-based brain-computer interface algorithms.
- Participants
- 84
- Channels
- 69 (10-10)
- Citations
- 2
- Size
- 144 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- on004843
T16
EEG[
- HED
- v8.1.0
- Size
- 7.66 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003078
PROBE iEEG
ANAT iEEG[ performing five mental imagery tasks: word association, mental subtraction, spatial navigation, and motor imagery of the right hand and feet. Data were collected across two sessions using 30-channel EEG at 256 Hz with visual cue-guided paradigm. The dataset includes preprocessed signals with artifact rejection and is intended for brain-computer interface research and motor imagery classification studies.
- Participants
- 9
- Channels
- 30 (10-10)
- Citations
- 74
- HED
- v8.4.0
- Size
- 2.74 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- nm000150
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 1
BEH[
- Size
- 59.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on000248ANAT MEG
The MNE-Sample-Data dataset comprises simultaneous MEG and EEG recordings acquired from a single subject using a Neuromag Vectorview system at the Martinos Center for Biomedical Imaging. The experiment involved visual stimulation (checkerboard patterns presented to left and right visual fields) and auditory stimulation (tones to left and right ears), with occasional face stimuli requiring motor responses. Structural MRI data from a 1.5 T Siemens scanner and Freesurfer-derived anatomical derivatives are included, providing a comprehensive reference dataset for MEG/EEG analysis and method development.
- Participants
- 2
- Size
- 1.93 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002312
OcularLDT
MEG[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on002312-blue…
- Participants
- 19
- Size
- 35.0 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026