This is not an official HCP answer, but I always delete the following after functional preprocessing:
$subj/rfMRI_REST1_LR/MotionMatrices/MAT*.nii.gz $subj/rfMRI_REST1_LR/OneStepResampling/prevols/ $subj/rfMRI_REST1_LR/OneStepResampling/postvols/ MotionMatrices/*.nii.gz alone accounts for nearly 20 GB of the ~30 GB for each 15 minute scan. -Keith On Wed, Feb 21, 2018 at 9:48 PM, Glasser, Matthew <glass...@wustl.edu> wrote: > Yes that is particularly true when using the latest version of the > pipelines. There are also files in T2w and T1w that could be deleted, but > will not save as much space as Mike’s suggestion. > > Peace, > > Matt. > > From: "Harms, Michael" <mha...@wustl.edu> > Date: Wednesday, February 21, 2018 at 12:18 PM > To: "Cook, Philip" <coo...@pennmedicine.upenn.edu>, " > hcp-users@humanconnectome.org" <hcp-users@humanconnectome.org> > Cc: Matt Glasser <glass...@wustl.edu> > Subject: Re: [HCP-Users] Cleaning up intermediate files from the minimal > pre-processing pipelines > > > > Hi, > > While the documentation is overall very good, I don’t know if I’d rely on > that pdf for a detailed list of all the files that we recommend “keeping”. > For that, you could download and unpack the packages for a subject with > complete data (e.g., 100307), and see what you all get. > > > > As a relatively simpler clean-up, I **think** that if you keep the entire > contents of anything in $subj/T1w and $subj/MNINonLinear that you’ll have > most of what you need for any further downstream processing, while > achieving substantial space savings. i.e., Most of the intermediates in > the fMRI processing end up in the $subj/$task directories, and I think that > any that have been deemed important (e.g., .native.func.gii) have been > copied to $subj/MNINonLinear/Results/$task. @Matt: Can you confirm that? > > > > e.g,. For a subject from the HCP-Young Adult study, the output from the > MPP of a single REST run (e.g., $subj/MNINonLinear/Results/rfMRI_REST1_LR) > is about 3.7 GB, whereas the contents of $subj/rfMRI_REST1_LR are 28 GB). > > > > Cheers, > > -MH > > > > -- > > Michael Harms, Ph.D. > > ----------------------------------------------------------- > > Conte Center for the Neuroscience of Mental Disorders > > Washington University School of Medicine > > Department of Psychiatry, Box 8134 > > 660 South Euclid Ave > <https://maps.google.com/?q=660+South+Euclid+Ave&entry=gmail&source=g>. > Tel: 314-747-6173 <(314)%20747-6173> > > St. Louis, MO 63110 Email: > mha...@wustl.edu > > > > *From: *<hcp-users-boun...@humanconnectome.org> on behalf of "Cook, > Philip" <coo...@pennmedicine.upenn.edu> > *Date: *Wednesday, February 21, 2018 at 11:49 AM > *To: *"hcp-users@humanconnectome.org" <hcp-users@humanconnectome.org> > *Subject: *[HCP-Users] Cleaning up intermediate files from the minimal > pre-processing pipelines > > > > Hi, > > > > I am trying to reduce disk usage after running the HCP minimal > pre-processing pipelines. I would like to clean up intermediate files but > retain things needed for ongoing analysis. As a reference I have found a > list of file names in > > > > WU-Minn HCP 900 Subjects Data Release: Reference Manual > Appendix III - File Names and Directory Structure for 900 Subjects Data > https://www.humanconnectome.org/storage/app/media/ > documentation/s900/HCP_S900_Release_Appendix_III.pdf > > > > I would like to retain these and clean up the remainder of the output. Are > there any scripts available to help with this? > > > > > > Thanks > > _______________________________________________ > HCP-Users mailing list > HCP-Users@humanconnectome.org > http://lists.humanconnectome.org/mailman/listinfo/hcp-users > > _______________________________________________ > HCP-Users mailing list > HCP-Users@humanconnectome.org > http://lists.humanconnectome.org/mailman/listinfo/hcp-users > _______________________________________________ HCP-Users mailing list HCP-Users@humanconnectome.org http://lists.humanconnectome.org/mailman/listinfo/hcp-users
