on004107
MIND DATA
ANAT MEG
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004107-blue…
- Participants
- 9
- Citations
- 17
- Size
- 77.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "pediatric neuroimaging" · page 5 of 10 · ranked by relevance
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- on004577
Dataset containing resting EEG for a sample of 103 normal infants in the first year of life
EEGThis dataset comprises resting-state EEG recordings from 103 normal infants during the first year of life, including 130 recordings distributed across up to four sessions per subject. It was collected to characterize normative developmental EEG patterns and supports research on brain maturation, synaptogenesis, and myelination in early infancy.
- Participants
- 103
- Channels
- 21 (10-20)
- Citations
- 26
- Size
- 653 MB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on007463
Very-High-Density Diffuse Optical Tomography System Validation Dataset
ANAT FUNC NIRSThis dataset consists of 8 participants completing functional localizer and movie-viewing…
- Participants
- 8
- Size
- 237 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000257
Imagined speech EEG dataset — short words condition (Nguyen et al. 2017)
EEGThis dataset contains preprocessed EEG recordings from 6 healthy participants performing imagined speech tasks with three short word conditions (out, in, up). Data were acquired at 256 Hz using 64 channels and analyzed using Riemannian manifold methods and relevance vector machines for brain-computer interface applications. The motor imagery paradigm employed auditory and visual cueing, yielding 5,400 trials suitable for BCI research and benchmarking.
- Participants
- 6
- Channels
- 60 (10-10)
- Citations
- 98
- HED
- v8.4.0
- Size
- 1.90 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on007667
Grupos Pre and Post bids
EEGGrupos Pre and Post bids
- Participants
- 55
- Channels
- 19 (10-20)
- Size
- 626 MB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- nm000133
Alljoined1
EEG- Participants
- 8
- Citations
- 6
- Size
- 7.74 GB
- Version
- v1.0.2
- Updated
- Jul 10, 2026
- 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
- nm000220
BEETL Competition 2021 Motor Imagery Dataset A — transfer learning benchmark
EEGBeetl2021-A is a preprocessed motor imagery EEG dataset derived from the BEETL Competition 2021 (NeurIPS Task 2), comprising 63-channel, 500 Hz recordings from healthy subjects performing a four-class motor imagery task (rest, left hand, right hand, feet) during an online BCI racing game (Cybathlon2020IC). The dataset was designed to benchmark transfer learning and domain adaptation methods for subject-independent, cross-dataset EEG-based brain-computer interfacing.
- Participants
- 3
- Channels
- 63 (10-10)
- Citations
- 2
- HED
- v8.4.0
- Size
- 2.17 GB
- Version
- v1.0.6
- Updated
- Aug 20, 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[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003078-blue…
- Participants
- 6
- Size
- 684 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026