Neuro Imaging Navigation And Datahub

Open-access platform for exploring and analyzing neuroimaging datasets

Neuro Imaging Navigation And Datahub (NeuroDataHub) is an open-access platform designed to help you explore, compare, and analyze neuroimaging datasets with ease. Whether you’re a researcher, clinician, or student in neuroscience or AI, this site brings together an extensive collection of over 50 curated public datasets, totaling more than 50,000 brain scans.

Each dataset is accompanied by:

  • A short overview
  • Key metadata
  • Links to official sources
  • Potential research directions

The goal is simple: accelerate neuroimaging research by centralizing and organizing accessible, high-quality data.

🔗 Visit: NeuroDataHub

The platform was inspired by the need for a single space to survey and assess large-scale MRI studies in brain research.

🔍 Features

  • 🚀 Fast keyword-based search
  • 🧠 Dataset explorer: Table and grid view options
  • 📊 Filter by modalities, age range, population size, and more
  • 🧩 Metadata standardization across datasets
  • 📁 CSV format for easy downstream processing
  • 🔗 External links to official repositories
Screenshots of the NeuroDataHub interface: homepage, table view for structured metadata, and a visually organized grid view.

📂 Included Datasets

The platform currently supports 50+ public neuroimaging datasets, including but not limited to:

ABIDE         ADNI         AOMIC_ID1000     BGSP        CAMCAN      CHBMP       COBRE
ABIL          Age-ility    AOMIC_PIOP1      BHRC        CC359       CHCP        CORR
AOMIC_PIOP2   BrainLat     DENSE_F          DLBS        DP-pCASL    FCON1000    HBN
HCP_1200      ICMB         ISYB             IXI         LASI        Lexical     MCSA
MIRIAD        MPI          NACC             narratives  NIFD        NKI         NPC
OASIS1        OASIS2       OASIS3           Pixar       PNC         PPMI        preventAD
RBPL1         RBPL2        SALD             SLIM        SRPBS       YALE_HighRes
YALE_LowRes

🧪 Research Utility

NeuroDataHub is already being integrated into several research workflows, supporting questions in:

  • Cross-cohort harmonization
  • Disease-specific neurodegeneration modeling
  • Data diversity analysis
  • Population-level MRI studies

A preprint is coming soon with the full technical documentation, data curation protocol, and research use cases.

NeuroDataHub — Designed for neuroimaging scientists, by me.

References