10.24475/bminds.mri.kau.3236 MRI Akiko Uematsu Department of Physiology (Okano Lab), Keio University School of Medicine, Keio University School of Medicine Connectome Analysis Unit, Integrative Computational Brain Science Collaboration Division, RIKEN Center for Brain Science JPN 2017 2017-06-15 Junichi Hata Laboratory for Marmoset Neural Architecture, RIKEN Brain Science Institute Yuji Komaki Central Institute for Experimental Animals Fumiko Seki Department of Physiology (Okano Lab), Keio University School of Medicine, Keio University School of Medicine Chihoko Yamada Central Institute for Experimental Animals Norio Okahara Central Institute for Experimental Animals Yoko Kurotaki Central Institute for Experimental Animals Erika Sasaki Department of Physiology (Okano Lab), Keio University School of Medicine, Keio University School of Medicine Laboratory for Marmoset Neural Architecture, RIKEN Brain Science Institute Central Institute for Experimental Animals Hideyuki Okano Department of Physiology (Okano Lab), Keio University School of Medicine, Keio University School of Medicine Laboratory for Marmoset Neural Architecture, RIKEN Brain Science Institute Central Institute for Experimental Animals 1 NIfTI en 3.1 GB Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) The dataset includes gziped NIfTI files (.nii.gz) of MRI T2WI and DTI metrics (FA, MD, RD, and AD) in-vivo data; the ages of the data are 1,3,6,9,12,15,18 months old. <br/>The creation process of these averaged images is referred to the script of FSL software ([https://fsl.fmrib.ox.ac.uk/](https://fsl.fmrib.ox.ac.uk/)), `fslvm_2_template`, partially modified; the non-linear registration process was replaced to the script of ANTs ([http://stnava.github.io/ANTs/](http://stnava.github.io/ANTs/)), `antsRegsitrationSyN.sh`. The details are described in the text [“Dataset Description and Image Processing”](https://dataportal.brainminds.jp/download/3743). <br/>In addition, age-specific DWI templates (.mif files) are provided, which are created using the script of Mrtrix3 ([http://www.mrtrix.org/](http://www.mrtrix.org/)), `population_template`. You may convert .mif file to NIFTI, extracting b-vector and b-value information by conducting the following Mrtrix3’s command: `# mrconvert dwi_input.mif dwi_output.nii -export_grad_fsl bvec bval` <br/> Files can be downloaded each image type or as one zip file. Japan Society for the Promotion of Science (JSPS) https://doi.org/10.13039/501100001691 Japan Agency for Medical Research and Development (AMED) https://doi.org/10.13039/100009619