on007719
Cambridge_data_resting
NIRS
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007719-blue…
- Participants
- 65
- Size
- 8.63 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "pediatric neuroimaging" · page 7 of 10 · ranked by relevance
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- nm000253
Wang et al. 2024 — Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli
iEEGBrain Treebank is a large-scale intracranial EEG dataset comprising 43 hours of iEEG recordings from 10 epilepsy patients watching naturalistic Hollywood movies, with 1,688 electrodes sampled at 2048 Hz. The dataset includes time-aligned linguistic annotations with word-level transcripts and Universal Dependencies syntax trees, providing a unique resource for studying neural language processing during naturalistic stimulation.
- Participants
- 10
- Size
- 508 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004851
HID
EEG[
- Citations
- 2
- Size
- 56.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003420
HD-EEGtask(Dataset 1)
EEGThis high-density EEG dataset comprises resting-state and task-based recordings from 23 healthy volunteers performing visual naming and spelling tasks. Collected between 2012-2013 at Rennes University Hospital using a 256-electrode EEG system, the dataset enables investigation of dynamic functional brain network reorganization during language production and cognitive processing. The study provides insights into spatiotemporal patterns of brain connectivity during object naming and orthographic tasks.
- Participants
- 23
- Channels
- 256 (egi-geodesic)
- Size
- 90.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005929
Motion-Yucel2014
NIRS[ 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
- on005935
Mirror Neuron Study
NIRS[ collected alongside measures of childhood and adulthood socioeconomic status (SES), including educational attainment, income, food security, and neighborhood characteristics. EEG tasks were drawn from or adapted from the ERP CORE resource, designed to elicit neural activity related to perception, cognition, and action. The dataset also includes an ADHD symptoms checklist, enabling investigation of relationships between SES, ADHD symptoms, and neural activity in a socioeconomically diverse adult sample.
- Participants
- 127
- Channels
- 27
- Citations
- 7
- Size
- 10.6 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006903
ball_squeeze_2025
NIRS[ sampled at 200 Hz. The dataset is designed to benchmark transfer learning and domain adaptation algorithms addressing cross-subject and cross-dataset generalization challenges in brain-computer interfaces.
- Participants
- 2
- Channels
- 32 (10-10)
- Citations
- 2
- HED
- v8.4.0
- Size
- 1.99 GB
- Version
- v1.0.5
- Updated
- Aug 20, 2026