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| == FreeSurfer Tutorial: Sample Data == | '''Index''' |
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| The data for the [[FsTutorial| tutorials]] consists of several data sets: * buckner_data-tutorial_subjs.tar.gz: the main 'recon-all' stream subject data processing (size: ~16GB uncompressed)([[ftp://surfer.nmr.mgh.harvard.edu/pub/data/buckner_data-tutorial_subjs.md5sum.txt|here is the md5sum]]) * long-tutorial.tar.gz: the longitudinal tutorial (size: ~16GB uncompressed) * fsfast-tutorial.subjects.tar.gz & fsfast-functional.tar.gz: the FS-FAST tutorial data set (size: ~5.6GB uncompressed & ~9.1GB uncompressed, respectively) * diffusion_recons.tar.gz & diffusion_tutorial.tar.gz - the diffusion and Tracula tutorial data sets * fbert-feat.tgz & bert.recon.tgz - tutorial on the integration of FreeSurfer and FSL/FEAT |
<<TableOfContents>> |
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| If you only want to get started with the basics of !FreeSurfer, you need only download the bucker_data set. This will allow you to do the following tutorials: *[[FsTutorial/OutputData_freeview|Intro to FreeSurfer Output]] *[[FsTutorial/TroubleshootingData|Troubleshooting FreeSurfer Output]] *[[FsTutorial/GroupAnalysis|Group Analysis via command-line]] *[[FsTutorial/QdecGroupAnalysis_freeview|Group Analysis via GUI]] *[[FsTutorial/AnatomicalROI|ROI Analysis]] *[[FsTutorial/MultiModal_freeview|Multimodal Analysis]] |
== FreeSurfer Tutorial Datasets == ## The data set for the Freesurfer tutorials comes in two forms, a "Lightweight" version and a "Full" version. |
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| === 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'''. |
## * 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. |
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| Open a terminal, change to a directory where you know you have at least 100GB of space. 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 & }}} |
## * 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. |
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| 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). Goto the Installation section below once the files are downloaded (this will likely take several hours). If you want to verify the md5sum, the md5sum for each of these files is found in files named *.md5sum.txt [[http://surfer.nmr.mgh.harvard.edu/pub/data/|in this directory]] or get them this way: | ## == Lightweight version == ## Use the following link to download the lightweight version of the tutorial data: ## . [[ftp://surfer.nmr.mgh.harvard.edu/pub/data/tutorial_data.tar.gz|tutorial_data.tar.gz]] ## Once the download is complete, uncompress the data file - this usually this can be done by simply double-clicking. In order to do the tutorials, users must define an environment variable called '''TUTORIAL_DATA''' which is set to the location of the extracted data. For example: ## {{{ ## $> 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 [[Tutorials|Freesurfer tutorials]]. ## == Full version == The full data for the [[Tutorials|tutorials]] consists of several data sets: * [[ftp://surfer.nmr.mgh.harvard.edu/pub/data/buckner_data-tutorial_subjs.tar.gz|buckner_data-tutorial_subjs.tar.gz]]: the main 'recon-all' stream subject data processing (size: ~16GB uncompressed). * [[ftp://surfer.nmr.mgh.harvard.edu/pub/data/long-tutorial.tar.gz|long-tutorial.tar.gz]]: the longitudinal tutorial (size: ~16GB uncompressed) * [[ftp://surfer.nmr.mgh.harvard.edu/pub/data/fsfast-tutorial.subjects.tar.gz|fsfast-tutorial.subjects.tar.gz]] & [[ftp://surfer.nmr.mgh.harvard.edu/pub/data/fsfast-functional.tar.gz|fsfast-functional.tar.gz]]: the FS-FAST tutorial data set (size: ~5.6GB uncompressed & ~9.1GB uncompressed, respectively) * [[ftp://surfer.nmr.mgh.harvard.edu/pub/data/diffusion_recons.tar.gz|diffusion_recons.tar.gz]] & [[ftp://surfer.nmr.mgh.harvard.edu/pub/data/diffusion_tutorial.tar.gz|diffusion_tutorial.tar.gz]] - the diffusion and Tracula tutorial data sets 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: * [[FsTutorial/OutputData_freeview|Intro to FreeSurfer Output]] * [[FsTutorial/TroubleshootingData|Troubleshooting FreeSurfer Output]] * [[FsTutorial/GroupAnalysis|Group Analysis via command-line]] * [[FsTutorial/QdecGroupAnalysis_freeview|Group Analysis via GUI]] * [[FsTutorial/AnatomicalROI|ROI Analysis]] * [[FsTutorial/MultiModal_freeview|Multimodal Analysis]] === Installation === ==== Uncompress the files ==== Once the dataset(s) have been downloaded, uncompress and install with the following command run from a terminal window. |
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| 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 & |
tar -xzvf <filename>.tar.gz |
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| Replacing <filename> with the name of the file downloaded. The downloaded .tar.gz files can then be deleted. | |
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| You will want to ensure that these md5sum's match what you find when you run md5sum on your own local downloads. '''Mac OS NOTE:''' use '''md5 -r''' to get the same results as '''md5sum'''. | ==== Set variables to point FreeSurfer to data ==== |
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| === Installation === Once the files are downloaded, move the file(s) to the $FREESURFER_HOME/subjects directory, and uncompress and install with the following commands: |
Once the download is complete you may uncompress the tar files. In order to do the tutorials, users must define an environment variable called '''TUTORIAL_DATA''' which is set to the location of the extracted data. For example: |
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| tar xzvf <filename>.tar.gz | export TUTORIAL_DATA=/home/username/Downloads/tutorial_data ls $TUTORIAL_DATA buckner_data fsfast-functional diffusion_recons fsfast-tutorial.subjects diffusion_tutorial long-tutorial |
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| You are now ready to start the [[Tutorials|Freesurfer tutorials]]. | |
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| Replacing of course <filename> with the name of each file downloaded. The downloaded .tar.gz files can then be deleted. | {{{ (bash) export TUTORIAL_DATA=<absolute_path_to_tutorial_data_directory> |
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| To setup the environment variable SUBJECTS_DIR to point to the tutorial data, type the following command or include in your .cshrc or .tcshrc file: {{{ setenv TUTORIAL_DATA $FREESURFER_HOME/subjects setenv SUBJECTS_DIR $TUTORIAL_DATA/buckner_data/tutorial_subjs/ |
(csh) setenv TUTORIAL_DATA <absolute_path_to_tutorial_data_directory> |
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| '''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.). | |
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| '''Note:''' If you are within the NMR Center, because the default $FREESURFER_HOME is shared, you will not be able to copy your data to $FREESURFER_HOME/subjects. Instead, copy the subject data to a location where you have space, and set the TUTORIAL_DATA and SUBJECTS_DIR environment variables to point to that. You may have to make adjustments throughout the tutorial wherever it refers to $FREESURFER_HOME/subjects (which is equivalent to your $SUBJECTS_DIR). | == FreeSurfer Tutorial Datasets 5.1/5.3 == |
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| The tutorial will also instruct you to set the SUBJECTS_DIR when appropriate. The tutorial references the TUTORIAL_DATA var, 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 }}} |
* [[ftp://surfer.nmr.mgh.harvard.edu/pub/data/buckner_data-tutorial_subjs-5.3.tar.gz|buckner_data-tutorial_subjs-5.3.tar.gz]] * [[ftp://surfer.nmr.mgh.harvard.edu/pub/data/long-tutoriaL-5.3.tar.gz|long-tutorial-5.3.tar.gz]] * [[ftp://surfer.nmr.mgh.harvard.edu/pub/data/fsfast-tutorial.subjects-5.3.tar.gz|fsfast-tutorial.subjects-5.3.tar.gz]] & [[ftp://surfer.nmr.mgh.harvard.edu/pub/data/fsfast-functional.tar.gz|fsfast-functional-5.3.tar.gz]] * [[ftp://surfer.nmr.mgh.harvard.edu/pub/data/diffusion_recons-5.3.tar.gz|diffusion_recons-5.3.tar.gz]] & [[ftp://surfer.nmr.mgh.harvard.edu/pub/data/diffusion_tutorial-5.3.tar.gz|diffusion_tutorial-5.3.tar.gz]] |
Index
Contents
FreeSurfer Tutorial Datasets
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)
fsfast-tutorial.subjects.tar.gz & fsfast-functional.tar.gz: the FS-FAST tutorial data set (size: ~5.6GB uncompressed & ~9.1GB uncompressed, respectively)
diffusion_recons.tar.gz & diffusion_tutorial.tar.gz - the diffusion and Tracula tutorial data sets
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:
Installation
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
Once the download is complete you may uncompress the tar files. In order to do the tutorials, users must define an environment variable called TUTORIAL_DATA which is set to the location of the extracted data. For example:
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.
(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.).