README 1.3 KB

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  1. ## Aix-Marseille Université (AMU)
  2. The [AMU Prime](https://fcon_1000.projects.nitrc.org/indi/PRIME/amu.html)
  3. dataset includes diffusion and structural data from 4 monkeys.
  4. ## Data Access
  5. Creative Commons – Attribution-NonCommercial Share Alike (CC-BY-NC-SA)
  6. ## Data Overview
  7. **Species**:
  8. * Macaca mulatta
  9. **Sample Description**:
  10. * Sample size: 4
  11. * Age distribution: 7-8 years
  12. * Weight distribution: 7.5-12.5 kgs
  13. * Sex distribution: 3 male, 1 female
  14. **Scan sequences**:
  15. * Scanner type: Siemens Prisma 3T
  16. * Diffusion-weighted:
  17. * Structural: T1, T2, QSM
  18. ## DataLad Datasets
  19. This repository is a [DataLad](https://www.datalad.org/) dataset. It provides
  20. fine-grained data access down to the level of individual files, and allows for
  21. tracking future updates. In order to use this repository for data retrieval,
  22. [DataLad](https://www.datalad.org/) is required. It is a free and
  23. open source command line tool, available for all major operating
  24. systems, and builds upon Git and [git-annex](https://git-annex.branchable.com/)
  25. to share, synchronize, and version control collections of large files.
  26. More information on DataLad and how to use it can be found in the DataLad
  27. Handbook at [handbook.datalad.org](http://handbook.datalad.org/en/latest/index.html).
  28. The chapter "DataLad Datasets" is especially helpful as an introduction to
  29. datasets.