Multicenter dataset of multishell diffusion MRI in healthy traveling adults with identical setting

<strong>Introduction</strong>A multishell diffusion MRI dataset collected from three traveling subjects with identical acquisition setting in ten imaging centers. Both of the scanner type and imaging protocol for anatomical and diffusion imaging were well controlled.This dataset is expected to replenish the individual reproducible study via multicenter collaborations by providing an open resource for advanced and novel microstructure and tractography quantifications.<br><br><strong>Primary acquisition parameters</strong>• T1-weighted imagesSequence: MP2RAGEResolution = 1x1x1.2 mm³<br>• Diffusion-weighted imagesSequence: SMS EPIResolution = 1.5x1.5x1.5 mm³b-value = 1000,2000,3000 mm²/sdirections = 30,30,30non-diffusion images = 6<br><b>Data download and unarchive</b>1. The DWI data were archived by bandizip software into multi-parts zip files as: sub-1.zip(.z01), sub-2.zip(.z01), and sub-3.zip(.z01). One pair for each subject respectively. The *.zip files are around 2.4GB each and *.z01 files are 4GB each. Please use the MD5 checksum as follows to verify the integrity of your download if possible.sub-1.zip 9968dcf156bf54bcb0d14501ca51397csub-1.z01 ca521901533e65477f0902184b313baasub-2.zip ed246206b52f84f1f7dbf87417e6211esub-2.z01 7d4902aa42b8669ff1d6a72ed69b2f6fsub-3.zip b4f8c3a5f9bf5f1a43fefec8a231add2sub-3.z01 abccc430d944459e69ffc7aea68532bd2. The pair of zip parts should share exactly the same filename by default. However, it happens the filenames may be changed during downloading for some reason. Please correct and rename the filenames properly before unarchive progress, otherwise there may occur an error.<br><strong>Data structure</strong>This dataset was orgnaized in BIDS format. However, due to the limit size of 5 GB for single file in the FigShare, the folders "sub-1", "sub-2", and "sub-3" were compressed into multi-part archives. After file extraction, you can see the whole dataset structure as follows (other folders contain similar files with sub-3/ and sub-3/ses-c10r3/):| README| CHANGES| dataset_description.json<br>| participants.tsv|▿ code/| example.sh<br>| Prep_diffusion.sh| Prep_face_removal.sh| Prep_gibbsring.m|▸ sub-1/|▸ sub-2/|▿ sub-3/| sub-3_sessions.tsv| ▸ ses-c01r1/| ▸ ses-c02r1/| ▸ ses-c03r1/<br>| ▸ ses-c04r1/<br>| ▸ ses-c05r1/<br>| ▸ ses-c06r1/<br>| ▸ ses-c07r1/<br>| ▸ ses-c08r1/<br>| ▸ ses-c09r1/<br>| ▸ ses-c10r1/<br>| ▸ ses-c10r2/<br>| ▿ ses-c10r3/<br>| ▿ anat/| sub-3_ses-c10r3_T1w.json| sub-3_ses-c10r3_T1w.nii.gz| ▿ dwi/| sub-3_ses-c10r3_dwi.bval| sub-3_ses-c10r3_dwi.bvec| sub-3_ses-c10r3_dwi.json| sub-3_ses-c10r3_dwi.nii.gz| sub-3_ses-c10r3_dwi_mask.nii.gz<br><strong>Data use agreement </strong><br>To use this dataset, we would like to follow the license CC BY (https://creativecommons.org/licenses/by/4.0/).<br><strong>Contact</strong><br>For more information on the data collection and pre-processing procedure, you can contact Qiqi Tong ([e-mail]).For other information or further cooperation with us, you can contact Dr. Hongjian He ([e-mail]).