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Brain/MINDS Marmoset Brain MRI Dataset

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@frankyeh frankyeh released this 07 Feb 16:50
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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.

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).
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.
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.
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.
Go to Data Download & Preview.

Citation

Junichi Hata, Ken Nakae, Daisuke Yoshimaru, Hideyuki Okano. Brain/MINDS Marmoset Brain MRI Dataset NA216 and eNA91: (DataID: 4624)
doi: https://doi.org/10.24475/bminds.mri.thj.4624

License

Creative Commons License.
This work is licensed under a Creative Commons Attribution 4.0 International License.

Data Source

https://dataportal.brainminds.jp/marmoset-mri-na216

Issues

quality problem
T1w: 410,412
T2w: 412

Imaging Method

Usage Notes

A description of the region names for individual lines and columns of the SC and FC matrices can be found here.
For the purpose of online previews, original data have been preprocessed and formatted for optimized display. E.g. for most Nifti files, contrast enhancement of the data was performed to improve visibility. The resolution across in vivo and ex vivo was standardized and bit-depth reduction (to 8-bits) on the majority of data was used to reduce loading times.
Some web browsers (e.g. Safari) might display CSV files in a new tab when clicking on the download button. In that case, the file can either be saved from the newly opened tab (shortcut: [Command]+S), or directly downloaded using [Ctrl]+click on the download button and selecting “Download linked file”.

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