Data_sharing_figshare.xlsx (288.03 kB)

Dataset SRACC: Synchrotron microCT for testing accuracy of Digital Volume Correlation (DVC) methods

dataset

posted on 2017-04-24, 09:26 authored by Enrico Dall'AraEnrico Dall'Ara, Marco PalancaMarco Palanca, Marco Viceconti, Damien LacroixDamien Lacroix, Mario Giorgi, Luca CristofoliniLuca Cristofolini

Database of the results obtained in:

Palanca et al.

Local Displacement and Strain Uncertainties in different Bone Types by Digital Volume Correlation of Synchrotron Microtomograms

JBiomech 2017

http://doi.org/10.1016/j.jbiomech.2017.04.007

The images are too large to be uploaded in figshare so please contact the corresponding author at: e.dallara@sheffield.ac.uk or the Project Management Office at: pmo@insigneo.org if interested in working on the files.

Funding

EPSRC Frontier Grant (MultiSim project code EP/K03877X/1), FP7 European program MAMBO (PIEF-GA-2012-327357), Diamond Light Source (MT10315), ‘Marco Polo’ travel grant awarded by University of Bologna

History

References

Ethics

There is no personal data or any that requires ethical approval

Policy

The data complies with the institution and funders' policies on access and sharing

Sharing and access restrictions

The data can be shared openly

Data description

The file formats are open or commonly used

Methodology, headings and units

Headings and units are explained in the files

Usage metrics

Read the peer-reviewed publication

Local Displacement and Strain Uncertainties in different Bone Types by Digital Volume Correlation of Synchrotron Microtomograms

Department of Mechanical Engineering

Keywords

microCT Digital Volume Correlation Precision Bone Trabecular Cortical Mouse Tibiae Synchrotron MultiSim INSIGNEO Biomechanics

Licence

CC BY 4.0