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| '''Index''' <<TableOfContents>> |
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| ## The data set for the Freesurfer tutorials comes in two forms, a "Lightweight" version and a "Full" version. | |
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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 |
## * 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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| 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]] |
## * 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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| === 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'''. |
## == Lightweight version == ## Use the following link to download the lightweight version of the tutorial data: |
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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 & }}} |
## . [[ftp://surfer.nmr.mgh.harvard.edu/pub/data/tutorial_data.tar.gz|tutorial_data.tar.gz]] |
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| This download will likely take several hours. | ## 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: |
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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). Go to the Installation section below once the files are downloaded. | ## {{{ ## $> 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]]. |
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| ==== 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 [[http://surfer.nmr.mgh.harvard.edu/pub/data/|in this directory]] or get them this way: |
## == Full version == The full data for the [[Tutorials|tutorials]] consists of several data sets: |
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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 & }}} |
* [[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 |
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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. 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 [[http://www.techradar.com/us/news/computing/pc/how-to-verify-your-files-in-linux-with-md5-641436|here]]. | 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]] |
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| Once the datasets have been downloaded, move them to the {{{$FREESURFER_HOME/subjects}}} directory, and uncompress and install with the following command run from a terminal window. You'll have to {{{cd $FREESURFER_HOME/subjects}}} first if you haven't already: | Once the dataset(s) have been downloaded, uncompress and install with the following command run from a terminal window. |
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| tar xzvf <filename>.tar.gz | tar -xzvf <filename>.tar.gz |
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Replacing <filename> with the name of each file downloaded. The downloaded .tar.gz files can then be deleted. |
Replacing <filename> with the name of the file downloaded. The downloaded .tar.gz files can then be deleted. |
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| 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: | 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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| setenv TUTORIAL_DATA $FREESURFER_HOME/subjects setenv SUBJECTS_DIR $TUTORIAL_DATA/buckner_data/tutorial_subjs/ |
export TUTORIAL_DATA=/home/username/Downloads/tutorial_data ls $TUTORIAL_DATA buckner_data fsfast-functional diffusion_recons fsfast-tutorial.subjects diffusion_tutorial long-tutorial |
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| You are now ready to start the [[Tutorials|Freesurfer tutorials]]. | |
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| '''Note for Martinos Center employees:''' Because the default {{{$FREESURFER_HOME}}} is shared, you will not be able to copy your data to {{{$FREESURFER_HOME/subjects}}} when doing so on a Martinos Center workstation. Instead, copy the subject data to a location where you have space, and set the {{{TUTORIAL_DATA}}} and {{{SUBJECTS_DIR}}} environment variables to point to that location. You may have to make adjustments throughout the tutorial wherever it refers to {{{$FREESURFER_HOME/subjects}}} (which is equivalent to your {{{$SUBJECTS_DIR}}}). The tutorial will also instruct you to set the {{{SUBJECTS_DIR}}} when appropriate. 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.). | {{{ (bash) export TUTORIAL_DATA=<absolute_path_to_tutorial_data_directory> |
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| === FSL-FEAT Tutorial Data === {{{ cd $SUBJECTS_DIR tar xvfz bert.recon.tgz cd /place/for/functional/data tar xvfz fbert-feat.tgz |
(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.). == FreeSurfer Tutorial Datasets 5.1/5.3 == * [[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.).
