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

{{ ageRange[0] }} years — {{ ageRange[1] }} years
{{ filteredDatasets.length }} of {{ datasets.length }} datasets match your criteria

{{ dataset.name }}

{{ dataset.subjects }} subjects, {{ dataset.scans }} scans

PATHOLOGY: {{ dataset.pathology }} Age: {{ dataset.minAge }} -- {{ dataset.maxAge }} Years
Name Subjects Scans Pathology Age Range More Info
{{ dataset.name }} {{ dataset.subjects }} {{ dataset.scans }} {{ dataset.pathology }} {{ dataset.minAge }} – {{ dataset.maxAge }}

{{ selectedDataset.name }}

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' }}
  • Goal: {{ selectedDataset.goal || 'N/A' }}
  • 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

CLI Version History

Track the evolution of NeuroDataHub CLI through each release

v1.1.0

Privacy-First Telemetry & Feedback System

October 28, 2024

Key Features

  • Privacy-first design: No PII collected
  • Opt-in telemetry with clear consent
  • Scheduled feedback (runs 1, 3, 10, 30, 50, then every 50)
  • Google Apps Script backend with JSON storage
  • Rate limiting: 10 events/min client-side
  • Cross-platform atomic file operations

New Modules

state.py telemetry.py feedback.py

Local state management, privacy-first event tracking, and user feedback collection

CLI Enhancements

--note Add notes to download events
--feedback Manually trigger feedback prompt
feedback New subcommand for feedback

Testing

234 tests passing 56 new unit tests +6,406 lines
v1.0.3

Brain Atlas Management System

October 2024

10 Brain Atlases

Anatomical (4)

AAL90 Destrieux Destrieux_SCGM DK82

Functional (4)

Power264 Dosenbach160 Gordon333 Craddock200

Multimodal (1)

HCP_MMP_Glasser_360

Connectivity (1)

Brainnetome

New CLI Commands

neurodatahub atlas list
neurodatahub atlas info <ATLAS_ID>
neurodatahub atlas download <ATLAS_ID>
neurodatahub atlas download-all
neurodatahub atlas types

Atlas Metadata

  • ROI counts & resolution levels
  • Age range recommendations
  • Reference citations & DOIs
  • CSV format with coordinates

Statistics

153 tests passing 10 atlases included atlas.py module
v1.0.2

Enhanced Metadata Support & Folder Organization

September 2024

Major Features

  • Organized downloads into anat/ and metadata/
  • Metadata support for 34/39 datasets (87.2%)
  • Automatic BIDS metadata for OpenNeuro
  • Visual metadata indicators in listings

Metadata Coverage

11 OpenNeuro AWS S3 BIDS metadata
9 INDI Phenotypic data
6 IDA-LONI CSV metadata
3 RBC DataLad support

Technical Improvements

  • Enhanced BaseDownloader class
  • Updated AwsS3Downloader
  • Enhanced DataladDownloader
  • Comprehensive IDA workflow

Statistics

58 passing tests 76% coverage +1,153 lines

This is a learning project tracking the development journey of NeuroDataHub CLI

View full changelog on GitHub