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

IntroductionA 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.Primary acquisition parameters• T1-weighted imagesSequence: MP2RAGEResolution = 1x1x1.2 mm3• Diffusion-weighted imagesSequence: SMS EPIResolution = 1.5x1.5x1.5 mm3b-value = 1000,2000,3000 mm2/sdirections = 30,30,30non-diffusion images = 6Data download and unarchive1. 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 67a5b404c2d67e74c37dbdd7f5825538sub-1.z01 727e4fbddb104138dad89ba6ea60cd0fsub-2.zip a3bd923a00a2cd35a88c56356ea3f9dfsub-2.z01 b46845a3105a0694358bd57a60e4b68bsub-3.zip 9388d9745f4dce403261e70ae5f5f9bcsub-3.z01 86aa3607462c483a85a64f1503217ace2. 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.3. Instructions to extract the multi-part zip files.A)For Windows users:Consider to use applications like WinRAR, 7Zip, etc. Select one set of multi-part zip files for one subject -> Right click on files -> Select ‘Extract’ option listed in the pop-out menu.B)For Unix/Linux and Mac users:In the terminal command line, first, cd to the path where multi-part zip files are, then run the following commands to extract sub-1 for example: cat sub-1.z* > sub-1-cat.zip unzip sub-1-cat.zipMac users may also try the free applications like The Unarchiver, Dr.Unarchiver, etc.Data structureThis 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| participants.tsv|▿ code/| example.sh| 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/| ▸ ses-c04r1/| ▸ ses-c05r1/| ▸ ses-c06r1/| ▸ ses-c07r1/| ▸ ses-c08r1/| ▸ ses-c09r1/| ▸ ses-c10r1/| ▸ ses-c10r2/| ▿ ses-c10r3/| ▿ 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|▿ derivatives/| ▿ movement/| ▸ sub-1/| ▸ sub-2/| ▿ sub-3/| ▸ ses-c01r1/| ▸ ses-c02r1/| ▸ ses-c03r1/| ▸ ses-c04r1/| ▸ ses-c05r1/| ▸ ses-c06r1/| ▸ ses-c07r1/| ▸ ses-c08r1/| ▸ ses-c09r1/| ▸ ses-c10r1/| ▸ ses-c10r2/| ▿ ses-c10r3/| sub-3_ses-c10r3.eddy_parametersData use agreement To use this dataset, we would like to follow the license CC BY (https://creativecommons.org/licenses/by/4.0/).ContactFor 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]).### 引言 本数据集为多壳层扩散磁共振成像（multishell diffusion MRI）数据集，共纳入3名受试者，在10个影像中心采用完全一致的采集设置完成扫描。解剖成像与扩散成像的扫描仪类型及成像协议均经过严格管控。 本数据集旨在通过提供开放资源以支持先进、创新的微观结构与纤维束追踪量化研究，填补多中心协作下的个体可重复性研究空白。 ### 主要采集参数 • T1加权成像（T1-weighted images） 序列：MP2RAGE 分辨率：1×1×1.2 mm³ • 扩散加权成像（diffusion-weighted images） 序列：SMS EPI 分辨率：1.5×1.5×1.5 mm³ b值：1000、2000、3000 mm²/s 扩散方向数：30、30、30 非扩散加权像数量：6 ### 数据下载与解压 1. 本数据集的扩散加权成像数据通过Bandizip软件打包为分卷压缩包，具体为：sub-1.zip（配套sub-1.z01）、sub-2.zip（配套sub-2.z01）以及sub-3.zip（配套sub-3.z01），每名受试者对应一组分卷压缩包。单个.zip文件大小约为2.4GB，单个.z01文件大小为4GB。若条件允许，请使用如下MD5校验和验证下载文件的完整性： sub-1.zip：67a5b404c2d67e74c37dbdd7f5825538 sub-1.z01：727e4fbddb104138dad89ba6ea60cd0f sub-2.zip：a3bd923a00a2cd35a88c56356ea3f9df sub-2.z01：b46845a3105a0694358bd57a60e4b68b sub-3.zip：9388d9745f4dce403261e70ae5f5f9bc sub-3.z01：86aa3607462c483a85a64f1503217ace 2. 默认情况下，同组分卷压缩包的文件名应完全一致。但由于某些原因，下载过程中可能出现文件名被修改的情况。请在解压前正确重命名文件，否则可能导致解压错误。 3. 分卷压缩包解压说明 A) Windows用户：可使用WinRAR、7-Zip等解压软件。选择单名受试者对应的一组分卷压缩包 -> 右键点击文件 -> 在弹出菜单中选择「解压」选项。 B) Unix/Linux及Mac用户：在终端命令行中，先通过cd命令进入分卷压缩包所在路径，以解压sub-1为例，执行如下命令： cat sub-1.z* > sub-1-cat.zip && unzip sub-1-cat.zip Mac用户还可尝试The Unarchiver、Dr.Unarchiver等免费解压工具。 ### 数据组织结构 本数据集采用脑成像数据结构（Brain Imaging Data Structure, BIDS）格式进行组织。但由于FigShare平台单文件大小限制为5GB，因此将sub-1、sub-2及sub-3三个文件夹打包为分卷压缩包。解压完成后，可获得如下完整数据集结构（sub-3/及sub-3/ses-c10r3/目录下的其他文件夹具有类似文件组织形式）： | 自述文件README | 变更日志CHANGES | 数据集描述文件dataset_description.json | 受试者信息表participants.tsv ▿ 代码目录code/ | example.sh | Prep_diffusion.sh | Prep_face_removal.sh | Prep_gibbsring.m ▸ 受试者1目录sub-1/ ▸ 受试者2目录sub-2/ ▿ 受试者3目录sub-3/ | sub-3_sessions.tsv ▸ 会话ses-c01r1/ ▸ 会话ses-c02r1/ ▸ 会话ses-c03r1/ ▸ 会话ses-c04r1/ ▸ 会话ses-c05r1/ ▸ 会话ses-c06r1/ ▸ 会话ses-c07r1/ ▸ 会话ses-c08r1/ ▸ 会话ses-c09r1/ ▸ 会话ses-c10r1/ ▸ 会话ses-c10r2/ ▿ 会话ses-c10r3/ ▿ 解剖成像目录anat/ | sub-3_ses-c10r3_T1w.json | sub-3_ses-c10r3_T1w.nii.gz ▿ 扩散加权成像目录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 ▿ 衍生数据目录derivatives/ ▿ 运动校正目录movement/ ▸ 受试者1目录sub-1/ ▸ 受试者2目录sub-2/ ▿ 受试者3目录sub-3/ ▸ 会话ses-c01r1/ ▸ 会话ses-c02r1/ ▸ 会话ses-c03r1/ ▸ 会话ses-c04r1/ ▸ 会话ses-c05r1/ ▸ 会话ses-c06r1/ ▸ 会话ses-c07r1/ ▸ 会话ses-c08r1/ ▸ 会话ses-c09r1/ ▸ 会话ses-c10r1/ ▸ 会话ses-c10r2/ ▿ 会话ses-c10r3/ | sub-3_ses-c10r3.eddy_parameters ### 数据使用协议 本数据集遵循CC BY许可协议（https://creativecommons.org/licenses/by/4.0/），使用前请遵守相关条款。 ### 联系方式 若需了解数据采集与预处理流程的更多细节，请联系童琪琪（[e-mail]）。若有其他信息咨询或进一步合作意向，请联系何宏建博士（[e-mail]）。