10.24475/bminds.mri.thj.4624 MRI Junichi Hata 0000-0001-5833-444X Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science Department of Physiology (Okano Lab), Keio University School of Medicine, Keio University School of Medicine Division of Regenerative Medicine, Jikei University School of Medicine Connectome Analysis Unit, Integrative Computational Brain Science Collaboration Division, RIKEN Center for Brain Science JPN 2022 2024-01-30 Ken Nakae Exploratory Research Center on Life and Living Systems, National Institutes of Natural Sciences, National Institutes of Natural Sciences Daisuke Yoshimaru Department of Physiology (Okano Lab), Keio University School of Medicine, Keio University School of Medicine Division of Regenerative Medicine, Jikei University School of Medicine Hideyuki Okano Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science Department of Physiology (Okano Lab), Keio University School of Medicine, Keio University School of Medicine 1 NIfTI-1 en 102 GB Creative Commons Attribution 4.0 International (CC BY 4.0) The Brain/MINDS Marmoset MRI NA216 and eNA91 datasets currently constitutes the largest public marmoset brain MRI resource (483 individuals), and includes in vivo and ex vivo data for large variety of image modalities covering a wide age range of marmoset subjects. <br/>* The in vivo part corresponds to a total of 455 individuals, ranging in age from 0.6 to 12.7 years (mean age: 3.86 ± 2.63), and standard brain data (NA216) from 216 of these individuals (mean age: 4.46 ± 2.62). <br/>T1WI, T2WI, T1WI/T2WI, DTI metrics (FA, FAc, MD, RD, AD), DWI, rs-fMRI in awake and anesthetized states, NIfTI files (.nii.gz) of label data, individual brain and population average connectome matrix (structural and functional) csv files are included. <br/>* The ex vivo part is ex vivo data, mainly from a subset of 91 individuals with a mean age of 5.27 ± 2.39 years. <br/>It includes NIfTI files (.nii.gz) of standard brain, T2WI, DTI metrics (FA, FAc, MD, RD, AD), DWI, and label data, and csv files of individual brain and population average structural connectome matrices. Japan Agency for Medical Research and Development (AMED) https://doi.org/10.13039/100009619