OpenNeuro Preprocessed Data (ds006000~)
OpenNeuro is a free, open platform and a BRAIN Initiative designated data archive for sharing human and non-human brain imaging data. Hosted by the Stanford Center for Reproducible Neuroscience, it aims to enhance the transparency and reproducibility of scientific research by providing openly available datasets under a Creative Commons CC0 license, which places minimal restrictions on data reuse. Key features of OpenNeuro include:
Data Types: The archive hosts a broad range of data, including functional and structural MRI, diffusion MRI, EEG, and MEG. Standardization: All uploaded data must adhere to the community-developed Brain Imaging Data Structure (BIDS) standard, which ensures consistent organization and metadata across datasets, making them easily reusable with various analysis tools. Accessibility: Datasets can be accessed and downloaded via a web browser, a command-line interface, or the DataLad versioning system. Integration: OpenNeuro partners with platforms like Brainlife.io to enable cloud-based analysis and visualization of the stored data.
Download Commmand
Download ds006169 preprocessed DWI data
- Linux/macOS
curl -s https://api.github.com/repos/data-openneuro/disease/releases/tags/ds006169 | jq -r '.assets[].browser_download_url' | xargs -n1 -P4 curl -LO
- Windows PowerShell
(Invoke-RestMethod "https://api.github.com/repos/data-openneuro/disease/releases/tags/ds006169").assets | ForEach-Object { Invoke-WebRequest $_.browser_download_url -OutFile (Split-Path $_.browser_download_url -Leaf) }
Included DWI Datasets
| DS NUMBER | DWI COUNT | Original Page |
|---|---|---|
| ds006169 | 225 | Longitudinal-Trajectories-Early-Brain-Development-Language |
| ds006391 | 308 | MIND: Multilingual Imaging Neuro Dataset |
| ds006676 | 940 | The impact of multiband and in-plane acceleration on white matter microstructure and connectivity study |
| ds006688 | 219 | Penn LEAD: Penn Longitudinal Executive functioning in Adolescent Development |
| ds006935 | 40 | TRAMFIX: TRavelling Across Melbourne for FIXel-based analysis |