Research Data Leeds Repository

A methodology for the generation and non-destructive characterisation of transverse fractures in long bones – Data set.

Citation

Zapata-Cornelio, Fernando and Wilcox, Ruth (2018) A methodology for the generation and non-destructive characterisation of transverse fractures in long bones – Data set. University of Leeds. [Dataset] https://doi.org/10.5518/344¹

This item is part of the Specimen-specific vertebra models² collection.

Dataset description

Experimental and computational data for all samples used in the paper

Keywords:	roughness; fracture; micro computed tomography; femur; computer modeling; surface characterization
Divisions:	Faculty of Biological Sciences > Institute of Medical and Biological Engineering Faculty of Engineering and Physical Sciences > Institute of Medical and Biological Engineering Faculty of Engineering and Physical Sciences > School of Mechanical Engineering > Institute of Medical and Biological Engineering3
Related resources:	Location Type https://doi.org/10.1016/j.bonr.2018.04.0074 Publication https://eprints.whiterose.ac.uk/131653/5 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	01 May 2018 08:52
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/3516
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Zapata-Cornelio, Fernando https://orcid.org/0000-0002-4344-85727 University of Leeds https://ror.org/024mrxd33 ror Wilcox, Ruth https://orcid.org/0000-0003-2736-71048 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: CONACYT, BOA, ERC Grant numbers: 214140, BOA (Latta Fellowship), ERC StG-2012-306615. Publication date: 2018 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: menfyz@leeds.ac.uk9 Last Modified: 07 Oct 2024 14:13

Files

Documentation

Readme.txt [2kB] 10 Readme.txt [2kB] 11 Readme.txt [2kB] 12 Security: Anyone File name: Readme.txt13 Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 2kB

Data

CT Images [3MB] 14 CT Images [3MB] 15 CT Images [3MB] 16 Security: Anyone File name: CT_Images.zip17 Content type: Data Description: Bone tiff files Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 3MB

Figure 2 [66kB] 18 Figure 2 [66kB] 19 Figure 2 [66kB] 20 Security: Anyone File name: Figure_2.zip21 Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 66kB

Figures 3 and 4 [69kB] 22 Figures 3 and 4 [69kB] 23 Figures 3 and 4 [69kB] 24 Security: Anyone File name: Figures_3_and_4.zip25 Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 69kB

Figure 6 [36kB] 26 Figure 6 [36kB] 27 Figure 6 [36kB] 28 Security: Anyone File name: Figure_6.zip29 Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 36kB

Figure 7 [4kB] 30 Figure 7 [4kB] 31 Figure 7 [4kB] 32 Security: Anyone File name: Figure_7.zip33 Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 4kB

Figure 8 [14kB] 34 Figure 8 [14kB] 35 Figure 8 [14kB] 36 Security: Anyone File name: Roughness_Data_for_Paper.xlsx37 Content type: Data Description: Data presented in Figure 8, with values obtained for each kernal size and specimen. Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 14kB

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• 2. /view/collections/Specimen-specific_vertebra_models.html
• 3. https://archive.researchdata.leeds.ac.uk/view/divisions/IMBE/
• 4. https://doi.org/10.1016/j.bonr.2018.04.007
• 5. https://eprints.whiterose.ac.uk/131653/
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• 8. https://orcid.org/0000-0003-2736-7104
• 9. mailto:menfyz@leeds.ac.uk
• 10. https://archive.researchdata.leeds.ac.uk/351/7/Readme.txt
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• 20. https://archive.researchdata.leeds.ac.uk/351/2/Figure_2.zip
• 21. https://archive.researchdata.leeds.ac.uk/351/2/Figure_2.zip
• 22. https://archive.researchdata.leeds.ac.uk/351/3/Figures_3_and_4.zip
• 23. https://archive.researchdata.leeds.ac.uk/351/3/Figures_3_and_4.zip
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• 26. https://archive.researchdata.leeds.ac.uk/351/4/Figure_6.zip
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• 28. https://archive.researchdata.leeds.ac.uk/351/4/Figure_6.zip
• 29. https://archive.researchdata.leeds.ac.uk/351/4/Figure_6.zip
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• 31. https://archive.researchdata.leeds.ac.uk/351/5/Figure_7.zip
• 32. https://archive.researchdata.leeds.ac.uk/351/5/Figure_7.zip
• 33. https://archive.researchdata.leeds.ac.uk/351/5/Figure_7.zip
• 34. https://archive.researchdata.leeds.ac.uk/351/6/Roughness_Data_for_Paper.xlsx
• 35. https://archive.researchdata.leeds.ac.uk/351/6/Roughness_Data_for_Paper.xlsx
• 36. https://archive.researchdata.leeds.ac.uk/351/6/Roughness_Data_for_Paper.xlsx
• 37. https://archive.researchdata.leeds.ac.uk/351/6/Roughness_Data_for_Paper.xlsx