Downloading Data
Details of the different options available to download your data from XNAT
Last updated
Details of the different options available to download your data from XNAT
Last updated
Download via UI
Downloading DICOM data that is not super large and when pausing, resuming is not needed.
Browser (campus network)
Download via XNAT Desktop Client
Download DICOM data with greater granularity and for large number of participants. Pausing, resumming and reporting is available
App installed. Doesn't work in OSCAR
Download via xnat-tools python package
Programmatic download. Great for batch uploads and for combining with BIDS conversion
This is the simplest but slowest way to download data. If you'll be downloading multiple imaging sessions, you may want to refer to other options below
If you only need to download one sequence, you can use the download button on the corresponding row
You have multiple options here
Depending on the size of your data, this may take a while
If you wish to have greater granularity on the types of resources downloaded you can use the menu under Actions -> Download -> Images. We will dive a little more into the options on the next section, as this is gives a great segway into talking about
The XNAT Desktop Client is a convenient way to upload and download data to XNAT. Unfortunately, at this time, the application doesn't work in Oscar, but if you are downloading data to your personal computer, you may want to give it a try.
The documentation for the Desktop Client is quite detailed, so we won't repeat the steps here.
We maintain a python package xnat-tools that facilitates downloading your data and converting it to BIDS. The optimal way to install and run the code depends on your computation environment. The package documentation explains different installation and execution methods for a general user.
If you do not need BIDS, you'll only need the xnat-dicom-export utility. If you will be downloading and converting to BIDS, then please follow the instructions in the XNAT TO BIDS section.
Installation of xnat-tools python package. This can be done from local computer or Oscar as explained in the