on005929
Motion-Yucel2014
NIRS
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005929-blue…
- Participants
- 7
- Size
- 68.5 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "adolescent neuroscience" · page 4 of 10 · ranked by relevance
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- on003710
APPLESEED Example Dataset
EEG…Developmental Cognitive Neuroscience, 101163. APPLESEED code is available to download from https…
- Participants
- 13
- Channels
- 32 (10-10)
- Size
- 10.2 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on008083
Hierarchical Priors in Perceptual Uncertainty and Psychosis Proneness - A Random-Dot Kinematogram task with low- and high-level priors
EEGThis EEG-BIDS dataset contains cue-locked recordings from 43 neurotypical adults performing a random-dot kinematogram task designed to dissociate low-level and high-level priors during perceptual decision-making. The study investigates how hierarchical priors bias behavior and modulate occipital oscillatory and aperiodic EEG activity using signal detection theory and generalized drift-diffusion modeling. Three within-subject conditions (baseline, low-level prior, high-level prior) were tested with individualized motion coherence thresholds.
- Participants
- 43
- Channels
- 31 (10-10)
- Size
- 8.76 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on004980
EEG data set for a architectural affordances task
EEG[
- Size
- 15.8 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000177
Multi-session longitudinal motor imagery EEG dataset (Kumar et al. 2024)
EEGA longitudinal motor imagery EEG dataset from 18 brain-computer interface (BCI)-naive subjects acquired across 6 sessions (1 offline + 5 online) to investigate transfer learning and domain adaptation for calibration-free BCI training. Subjects performed left/right hand motor imagery tasks with visual feedback using 22 EEG channels sampled at 512 Hz. The dataset compares Generic Recentering (unsupervised) and Personally Assisted Recentering (supervised) domain adaptation frameworks, with features extracted as covariance matrices and classified using Riemannian geometry-based methods.
- Participants
- 18
- Channels
- 22 (10-10)
- HED
- v8.4.0
- Size
- 1.66 GB
- Version
- vv1.0.1
- Updated
- Jul 10, 2026
- on006803
NeuroTechs Dataset for Stem Skills
EEG[
- Size
- 1.39 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000147
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 4
BEH EEGThe Brain, Body, and Behaviour Dataset (Experiment 4) is a multimodal neurophysiological dataset comprising simultaneous recordings of EEG, eye-tracking, cardiac, respiratory, and electrooculographic signals from 43 subjects across two sessions. Participants watched three educational videos (Stim-04, Stim-05, Stim-06) under two attention conditions. In Session 1 (attentive condition), participants viewed the videos and answered comprehension questions afterward. In Session 2 (distracted condition), participants viewed the same three videos in the same order while performing a concurrent backward counting task, with no comprehension testing. This derivative dataset supports investigation of neural and behavioral correlates of attention, learning, and cognitive load during naturalistic video viewing.
- Citations
- 4
- Size
- 5.12 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on005964
FRESH Audio Dataset
NIRS[ - Experiment 3
BEH EEGThe Brain, Body, and Behaviour Dataset - Experiment 3 is a multimodal neurophysiological dataset comprising 29 subjects across 2 sessions designed to investigate the effects of attentional state on learning from educational videos. Participants watched six educational videos under two conditions: attentive (with post-video testing) and distracted (with concurrent cognitive load), while simultaneous recordings of brain activity, cardiovascular function, eye movements, and head motion were collected. The dataset includes concurrent EEG, ECG, EOG, gaze tracking, pupil size, and head position data, along with behavioral measures including memory questionnaires and ADHD symptom assessments.
- Participants
- 29
- Channels
- 64 (10-10)
- Size
- 7.44 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on004520
Changes in behavioral priority influence the accessibility of working memory content - Experiment 2
EEG[
- Size
- 10.4 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026