NEMAR Dataset Citations Analysis Dashboard

NEMAR Dataset Citations Analysis Dashboard

This dashboard provides comprehensive analysis of dataset citations within the NEMAR ecosystem, revealing collaboration patterns, research trends, and the impact of open neuroscience data sharing on the research community.

HBN Data Insights Dashboard

HBN Dataset Insights Dashboard

This is a data visualization dashboard for exploring the Healthy Brain Network EEG dataset. Features age and sex distributions, task availability metrics, mental health correlations, and per-release analysis across 11 dataset releases with over 3,600 participants.

Hyser experimental setup showing 256-channel HD-sEMG electrode arrays

Hyser: High-Density Surface EMG Dataset for Neural Interface Research

The Hyser dataset provides 256-channel HD-sEMG recordings from 20 subjects across five distinct tasks, including gesture recognition and force control paradigms, making it ideal for developing advanced neural interfaces and prosthetic control algorithms.

Participants per Task and Release Overview

HBN-EEG: Healthy Brain Network EEG Datasets

The Healthy Brain Network EEG Datasets (HBN-EEG) includes 11 dataset releases containing EEG, behavioral data, and rich event annotations from participants aged 5-21 years, supporting large-scale analyses and machine-learning research on mental health.

HBN-EEG dataset

HBN-EEG: The FAIR implementation of the Healthy Brain Network (HBN) electroencephalography dataset

The HBN-EEG dataset provides a comprehensive collection of high-density EEG recordings from the Healthy Brain Network project, formatted in the Brain Imaging Data Structure (BIDS) standard. This dataset includes annotated behavioral and task-condition events, making it ready for various types of analysis without the need for extensive preprocessing. With data from over 2,600 participants, the HBN-EEG dataset supports the development and validation of EEG analysis methods, including machine learning and deep learning approaches. Additionally, it aims to facilitate the creation of EEG-based biomarkers for psychiatric disorders, offering valuable insights into brain function and mental health.