FreeSurfer Tutorial Datasets
The data set for the Freesurfer tutorials comes in two forms, a "Lightweight" version and a "Full" version.
The "Lightweight" version contains only the files required to run the commands of the FreeSurfer tutorial. It has all the required input and output data, but lacks the other files that would normally be present when performing a recon. People who just want a quick easy way to run the commands in the tutorial should download this data set.
- The "Full" version contains all the files that would normally be present when performing recons. Because of the numerous subjects involved with the tutorials, the full data set is quite large (~60Gigs). People who want to go into more depth than that which is covered in the tutorials should download this data set.
Use the following link to download the lightweight version of the tutorial data:
Once the download is complete, uncompress the data file - this usually this can be done by simply double-clicking. To run the tutorials, simply source Freesurfer, then define an environment variable called TUTORIAL_DATA which point to the uncompressed directory. For example:
$> <source freesurfer> $> export TUTORIAL_DATA=/home/username/Downloads/tutorial_data $> ls $TUTORIAL_DATA buckner_data fsfast-functional diffusion_recons fsfast-tutorial.subjects diffusion_tutorial long-tutorial
You are now ready to start the Freesurfer tutorials.
The full data for the tutorials consists of several data sets:
buckner_data-tutorial_subjs.tar.gz: the main 'recon-all' stream subject data processing (size: ~16GB uncompressed).
long-tutorial.tar.gz: the longitudinal tutorial (size: ~16GB uncompressed)
Also, if you only want to get started with the basics of FreeSurfer, you need only download the buckner_data set. This will allow you to do the following tutorials:
Download using wget
The wget application is recommended, as some web browsers have difficulty downloading files greater than 4GB in size. Mac OS NOTE: Use curl -O in place of wget.
Open a terminal, create a directory called tutorial_data where you know you have at least 100GB of space, and cd into that directory. To download, type:
wget ftp://surfer.nmr.mgh.harvard.edu/pub/data/buckner_data-tutorial_subjs.tar.gz & wget ftp://surfer.nmr.mgh.harvard.edu/pub/data/long-tutorial.tar.gz & wget ftp://surfer.nmr.mgh.harvard.edu/pub/data/fsfast-functional.tar.gz & wget ftp://surfer.nmr.mgh.harvard.edu/pub/data/fsfast-tutorial.subjects.tar.gz & wget ftp://surfer.nmr.mgh.harvard.edu/pub/data/fbert-feat.tgz & wget ftp://surfer.nmr.mgh.harvard.edu/pub/data/bert.recon.tgz & wget ftp://surfer.nmr.mgh.harvard.edu/pub/data/diffusion_recons.tar.gz & wget ftp://surfer.nmr.mgh.harvard.edu/pub/data/diffusion_tutorial.tar.gz &
This download will likely take several hours.
The wget application will handle poor connections, and retry if it is having problems. A failed download can be restarted by adding the -c flag to wget, which will cause it to continue from the point where a partial download stopped. Notice the commands have the ampersand, so you can run all these commands at once (although the wget output will be hard to decipher, so an alternative is to run each without the ampersand in a separate terminal). Go to the Installation section below once the files are downloaded.
Optional Verification Step
If you want to verify the files transferred correctly using md5sum, the md5sum for each of these downloads can found in files named *.md5sum.txt in this directory or get them this way:
wget ftp://surfer.nmr.mgh.harvard.edu/pub/data/buckner_data-tutorial_subjs.md5sum.txt & wget ftp://surfer.nmr.mgh.harvard.edu/pub/data/long-tutorial.md5sum.txt & wget ftp://surfer.nmr.mgh.harvard.edu/pub/data/fsfast-functional.md5sum.txt & wget ftp://surfer.nmr.mgh.harvard.edu/pub/data/fsfast-tutorial.subjects.md5sum.txt & wget ftp://surfer.nmr.mgh.harvard.edu/pub/data/fbert-feat.md5sum.txt & wget ftp://surfer.nmr.mgh.harvard.edu/pub/data/bert.recon.md5sum.txt & wget ftp://surfer.nmr.mgh.harvard.edu/pub/data/diffusion_recons.md5sum.txt & wget ftp://surfer.nmr.mgh.harvard.edu/pub/data/diffusion_tutorial.md5sum.txt &
You will want to ensure that these md5sum's match what you find when you run md5sum on your own local downloads. If they do not match, the file transfer may have been faulty or there may have been a disk error. Mac OS NOTE: Use md5 -r to get the same results as md5sum. More on md5sum can be found here.
Uncompress the files
Once the dataset(s) have been downloaded, uncompress and install with the following command run from a terminal window.
tar xzvf <filename>.tar.gz
Replacing <filename> with the name of the file downloaded. The downloaded .tar.gz files can then be deleted.
Set variables to point FreeSurfer to data
To setup the environment variable SUBJECTS_DIR to point to the tutorial data, type the following commands every time you open a new terminal window. Alternatively, you can include the below commands in your .cshrc or .tcshrc file so these variables are automatically set every time you open a new terminal window:
(bash) export TUTORIAL_DATA=<absolute_path_to_tutorial_data_directory> (csh) setenv TUTORIAL_DATA <absolute_path_to_tutorial_data_directory>
Note: The tutorial references the TUTORIAL_DATA variable, which is the root directory containing the tutorial data (ie. the directories 'buckner_data', 'long-tutorial', 'fsfast-functional', etc.).
FSL-FEAT Tutorial Data
cd $SUBJECTS_DIR tar xvfz bert.recon.tgz cd /place/for/functional/data tar xvfz fbert-feat.tgz