CoRR (Consortium for Reliability and Reproducibility)

Basic information
  • Application: test-retest reliability and reproducibility
  • Size: 1629 subjects
  • Type: Anatomical, rs-fMRI, Diffusion, CBF and ASL 
  • License: Creative Commons Attribution 4.0 International License
  • Link:
 DescriptionAccording to the website, the description is as follows.  The goal of CoRR was to create an open science resource for the imaging community that facilitates the assessment of test-retest reliability and reproducibility for functional and structural connectomics. In order to accomplish this, we have aggregated resting state fMRI (R-fMRI) and diffusion imaging data from laboratories around the world, and are sharing the data via the International Neuroimaging Data-sharing Initiative (INDI).   This enables the:
  • Establishment of test-retest reliability and reproducibility for commonly used MR-based connectome metrics
  • Determination of the range of variation in the reliability and reproducibility of these metrics across imaging sites and retest study designs
  • Creation of a standard/benchmark test-retest dataset for the evaluation of novel metrics
  • 3606 Anatomical Scans
  • 6374 Resting Functional Scans
  • 1424 Diffusion Scans
  • CBF and ASL Scans
  • Age at time of scan in years
  • Subject Gender
  • Subject Handedness Category
  • Retest design
  License Creative Commons Attribution 4.0 International License You are free to:
  • Share — copy and redistribute the material in any medium or format
  • Adapt — remix, transform, and build upon the material
  • Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

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-Zuo, X.N., et al., An Open Science Resource for Establishing Reliability and Reproducibility in Functional Connectomics, (In Press) 
-If applicable:  Gorgolewski, K.J., Mendes, N., Wilfling, D., Wladimirow, E., Gauthier, C.J., Bonnen, T., Trampel, R., Bazin, P.L., Margulies, D.S., Measuring variability of human brain activity at rest - a high resolution 7-Tesla test-retest dataset, (In Press)