NeuroDataHub - Neuroimaging Datasets Platform Logo

NeuroDataHub

Neuroimaging Datasets Brain Imaging Research Platform

NeuroDataHub (version 2) is the leading open-access neuroimaging datasets platform designed to help researchers, clinicians, and students explore, compare, and analyze brain imaging data with ease. This comprehensive brain imaging research hub brings together an extensive collection of 50+ carefully curated public neuroimaging datasets, containing over 50,000 brain scans from multiple modalities including MRI, fMRI, DWI, EEG, and PET.

Find the perfect brain imaging datasets for your neuroscience research project and accelerate your neuroimaging studies with our comprehensive dataset collection. Now explore the NeuroDataHub CLI for seamless dataset downloads directly from your terminal.

NeuroDataHub CLI

pip install neurodatahub-cli
Neuroimaging Dataset Visualization - Brain MRI Research Data

🧠 Explore Brain Datasets

Access 50+ open neuroimaging datasets covering over 50,000 brain scans, including structural MRI, functional MRI, and diffusion imaging. Quickly compare datasets, understand their formats, and discover how to use them in real research.

👨‍🔬 For Research & Learning

Built for students, clinicians, and researchers, this platform offers a beginner-friendly guide to each dataset along with ideas for machine learning, neuroscience, and medical imaging applications — no clutter, just insight.

📊 Stats, Scans & Links

Get insghts of key statistics (like scan counts, modalities, age ranges), and papers using each dataset. Save hours of search time — everything you need is neatly organized in one place.

🧬 Available Datasets

Neuroimaging Datasets Collection 50+ Brain Imaging Research Datasets

Explore our curated collection of neuroimaging datasets with advanced filtering options

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Name Subjects Scans Pathology Age Range More Info
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Publication Website
Anatomical MRI Anatomical MRI
Resting-state fMRI Resting-state fMRI
Task fMRI Task fMRI
Diffusion MRI Diffusion MRI
EEG EEG
PET PET
Cognitive Cognitive
Behavioural Behavioural
Genetics Genetics
Fluid Biomarkers Fluid Biomarkers
  • Abbreviation: {{ selectedDataset.abbreviation || 'N/A' }}
  • Description: {{ selectedDataset.description || 'N/A' }}
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  • Nationality: {{ selectedDataset.population || 'N/A' }}
  • Condition: {{ selectedDataset.pathology || 'N/A' }}
  • Subjects: {{ selectedDataset.subjects || 'N/A' }}
  • Scans: {{ selectedDataset.scans || 'N/A' }}
  • Gender: {{ selectedDataset.males || 'N/A' }} males, {{ selectedDataset.females || 'N/A' }} females ({{ selectedDataset.genderRatio }} M/F)
  • CDR Distribution: 0: {{ selectedDataset.cdr0_0 || 'N/A' }}, 0.5: {{ selectedDataset.cdr0_5 || 'N/A' }}, 1: {{ selectedDataset.cdr1_0 || 'N/A' }}, 2: {{ selectedDataset.cdr2_0 || 'N/A' }}, 3: {{ selectedDataset.cdr3_0 || 'N/A' }}
  • Race: {{ selectedDataset.race || 'N/A' }} || Ethnicity: {{ selectedDataset.ethnicity || 'N/A' }}
  • Dataset Type: {{ selectedDataset.data || 'N/A' }}
  • Age Stats:
    Mean: {{ selectedDataset.meanAge || 'N/A' }} | Median: {{ selectedDataset.median || 'N/A' }} | Q25: {{ selectedDataset.q25 || 'N/A' }} | Q75: {{ selectedDataset.q75 || 'N/A' }}
    Range: {{ selectedDataset.ageRange }} {{ selectedDataset.minAge || 'N/A' }} – {{ selectedDataset.maxAge || 'N/A' }}
  • Std Dev (Age): {{ selectedDataset.stdDev || 'N/A' }}
  • Number of Sites: {{ selectedDataset.sites || 'N/A' }}
  • Design: {{ selectedDataset.design || 'N/A' }}
  • Platform: {{ selectedDataset.platform || 'N/A' }}
  • Tip 1: {{ selectedDataset.tip1 || 'N/A' }}
  • Tip 2: {{ selectedDataset.tip2 || 'N/A' }}
Launch Year: {{ selectedDataset.launchyear || 'N/A' }}

Age Distribution

Gender Distribution

Dataset Selection Helper

Find the perfect dataset for your research needs based on pathology, accessibility, and quality criteria.

Loading dataset recommendations...
Pathology/Component Dataset Key Benefits Cautions
{{ rec.pathology }} {{ rec.dataset }}
  • {{ rec.reason1 }}
  • {{ rec.reason2 }}
  • {{ rec.reason3 }}
 {{ rec.caution }}

Submit a Dataset

Help expand our database by submitting additional neuroimaging datasets for the community.

Submit via Google Form

Recommended

Use our Google Form for the best experience. Your submission will be automatically saved and processed.

Instructions:

  1. Fill out the form above with your dataset information
  2. All required fields must be completed
  3. Click "Submit" at the bottom of the form
  4. You'll receive a confirmation once submitted

Alternative Submission Methods

Open in New Tab

Prefer to use the form in a separate window?

Open Google Form

GitHub Issues

Submit via GitHub Issues for transparency and discussion

Create GitHub Issue

Email Submission

Send us an email with your dataset details

Send Email

Neuroimaging Best Practices

Essential guidelines and methodologies for neuroimaging research.

Coming Soon

Data Harmonization Guide

Strategies for combining and standardizing multi-site neuroimaging data.

Learn about techniques and tools for harmonizing neuroimaging data across different sites, scanners, and protocols.

Read on Medium

NeuroDataHub CLI

A powerful command-line interface for downloading neuroimaging datasets with ease!

🚀 Access 30+ Neuroimaging Datasets from Your Terminal

NeuroDataHub CLI brings the power of our curated dataset collection to your command line. Download popular neuroimaging datasets from INDI, OpenNeuro, ReproBrainChart, and more with simple commands.

PyPI version Python versions Downloads License
Terminal
$ pip install neurodatahub-cli
$ neurodatahub --list
📊 Available Datasets (30+)
$ neurodatahub pull HBN ./data/HBN
🚀 Downloading HBN dataset...

✨ Key Features

🗂️

30+ Datasets

Access popular neuroimaging datasets from multiple sources including INDI, OpenNeuro, and ReproBrainChart

🔍

Smart Search

Find datasets by name, description, category, or research focus with powerful filtering

🚀

Multiple Backends

Supports AWS CLI, aria2c, DataLad, and more for optimal download performance

🔐

Authentication Support

Handles various authentication workflows including interactive IDA-LONI processes

📊

Rich UI

Beautiful tables, progress bars, and interactive prompts for enhanced user experience

⚡

Resume Support

Interrupted downloads can be resumed, saving time and bandwidth

🔧 Quick Installation

Via pip

pip install neurodatahub-cli

Via conda (coming soon)

# conda install -c conda-forge neurodatahub-cli

💻 Common Commands

📋 List & Search

neurodatahub --list
List all available datasets
neurodatahub search "brain development"
Search for specific datasets

📥 Download

neurodatahub pull HBN --path ./data/HBN
Download a dataset to specified path
neurodatahub info HBN
Get detailed dataset information

🔧 System

neurodatahub check
Check system dependencies
neurodatahub --help
Show help and all available commands

📂 Supported Dataset Categories

INDI Datasets

No Authentication Required

  • HBN - Healthy Brain Network (2TB)
  • CORR - Consortium for Reliability (500GB)
  • ADHD200 - ADHD diagnosis (200GB)
  • NKI - Nathan Kline Institute (800GB)

OpenNeuro

Open Platform Datasets

  • AOMIC - Amsterdam Open MRI Collection
  • Pixar - fMRI responses to movie clips
  • MPI - Max Planck Institute datasets
  • Dense sampling - High-resolution subjects

Independent

Direct Access Datasets

  • IXI - Imperial College brain MRI (12GB)
  • OASIS-1/2 - Aging studies
  • HCP - Human Connectome Project*
  • CamCAN - Cambridge aging study*
* Requires authentication

IDA-LONI

Interactive Authentication

  • ADNI - Alzheimer's Disease Initiative
  • PPMI - Parkinson's Progression Markers
  • AIBL - Australian Imaging Biomarkers
  • MCSA - Mayo Clinic Study of Aging

🔗 Resources & Links

PyPI Package

Official Python package repository

Source Code

GitHub repository and documentation

Report Issues

Bug reports and feature requests

Discussions

Community support and questions