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100 results for "pediatric neuroimaging" · page 4 of 10 · ranked by relevance

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nm000148
Motor imagery BCI dataset with pupillometry augmentation

EEG

A motor imagery brain-computer interface dataset comprising EEG recordings from 30 healthy participants performing left-hand grasping imagery and rest tasks, augmented with pupillometry measurements. The dataset includes 32-channel EEG data sampled at 512 Hz acquired using BioSemi ActiveTwo hardware, with two experimental runs per subject containing 50 trials total. This derivative dataset was processed using the Mother of All BCI Benchmarks (MOABB) framework and is designed to support BCI research and algorithm development.

Participants

30

Channels

32 (10-10)

Citations

37

HED

v8.4.0

Size

3.22 GB

Version

v1.0.2

Updated

Aug 18, 2026

by David Rozado et al.
on007714
Cambridge_data

NIRS

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007714-blue…

Participants

64

Size

1.25 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Enter author names here OpenNeuro ds007714
nm000149
BNCI 2019-001 Motor Imagery dataset for Spinal Cord Injury patients

EEG

This dataset comprises EEG recordings from 10 patients with spinal cord injury performing five distinct hand and forearm motor imagery tasks: hand open, palmar grasp, lateral grasp, pronation, and supination. The study investigates the decoding of attempted movements from low-frequency EEG signals (movement-related cortical potentials) to support neuroprosthetic applications for upper limb control. Data include 360 trials (72 per class) acquired at 256 Hz with 61 EEG channels and 3 EOG channels, preprocessed with ICA-based artifact rejection and bandpass filtering.

Participants

10

Channels

61 (10-05)

Citations

97

HED

v8.4.0

Size

4.51 GB

Version

v1.0.2

Updated

Aug 18, 2026

by Patrick Ofner et al.
on007420
A Light Weight Multi-Distance fNIRS Dataset for Ball-Squeezing Task and Purposeful Motion Artifact Creation Task

NIRS

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007420-blue…

Participants

12

Size

572 MB

Version

v1.0.0

Updated

Jul 10, 2026

by Gao et al. OpenNeuro ds007420
on006923
Dataset of Electroencephalograms of Juvenile Offenders

EEG

This dataset contains resting-state EEG recordings from 140 juvenile participants in Colombia, including 74 juvenile offenders and 66 non-offender controls, collected to study neurocognitive patterns associated with delinquency. Recordings were acquired using a 128-channel Biosemi ActiveTwo system during alternating eyes-closed/eyes-open resting-state paradigms. The dataset includes both preprocessed EEG data and extracted spectral power features (mean power, RMS, standard deviation, min/max power, skewness, kurtosis) across delta, theta, alpha, and beta frequency bands for each channel and epoch.

Participants

140

Channels

128 (other)

Size

8.13 GB

Version

v1.0.0

Updated

Aug 19, 2026

by Aura Polo et al. OpenNeuro ds006923
on006377
InclusionStudy

NIRS

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006377-blue…

Participants

115

Size

1.38 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Meryem A. Yücel et al. OpenNeuro ds006377
on004796
A Polish Electroencephalography, Alzheimer’s Risk-genes, Lifestyle and Neuroimaging (PEARL-Neuro) Database

EEG FUNC

…s Risk-genes, Lifestyle and Neuroimaging (PEARL-Neuro) Database IMPORTANT NOTE: The…

Participants

79

Citations

36

Size

240 GB

Version

v1.0.0

Updated

Aug 19, 2026

by Dzianok Patrycja et al. OpenNeuro ds004796
nm000139
BNCI 2014-001 Motor Imagery dataset

EEG

The BNCI 2014-001 Motor Imagery dataset is a widely-used benchmark for brain-computer interface research, comprising EEG recordings from 9 healthy subjects performing four-class motor imagery tasks (left hand, right hand, feet, and tongue). Each subject completed two sessions with 6 runs per session, yielding 200 training and 240 test trials. The dataset features 22 EEG channels plus 3 EOG channels (25 total) sampled at 250 Hz with minimal preprocessing (bandpass filtering 0.05-200 Hz), making it a standard resource for evaluating multi-class motor imagery classification algorithms and cross-session transfer learning approaches.

Participants

9

Channels

22 (10-10)

Citations

90

HED

v8.4.0

Size

1.38 GB

Version

v1.0.2

Updated

Aug 18, 2026

by Michael Tangermann et al.
on007473
High-Density Diffuse Optical Tomography Audiovisual Movie Viewing Dataset

NIRS

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007473-blue…

Participants

5

Size

36.3 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Morgan Fogarty et al. OpenNeuro ds007473
nm000140
BNCI 2015-001 Motor Imagery dataset

EEG

A two-class motor imagery EEG dataset comprising 12 healthy, right-handed naive subjects performing sustained kinesthetic imagery of right-hand palmar grip versus bilateral feet plantar extension. The dataset includes 2 sessions per subject with 200 trials total (100 per class), recorded at 512 Hz from 13 EEG channels using g.tec hardware with visual and auditory feedback. Data were preprocessed with bandpass filtering (0.5-100 Hz) and notch filtering at 50 Hz, achieving 80% classification accuracy with LDA and Common Spatial Patterns features.

Participants

12

Channels

13 (10-10)

Citations

95

HED

v8.4.0

Size

2.83 GB

Version

v1.0.2

Updated

Aug 18, 2026

by Josef Faller et al.