Research Data Leeds Repository

Stratification of decellularised porcine super flexor tendon for ACL replacement

Herbert, Anthony and Edwards, Jennifer (2019) Stratification of decellularised porcine super flexor tendon for ACL replacement. University of Leeds. [Dataset] https://doi.org/10.5518/624

Dataset description

The following dataset contains instron testing data pertaining to the mechanical testing of decellularised porcine flexor tendons and the parameters that were extracted from that data.

Keywords:	ACL Reconstruction, Biomechanics, Bioengineering, Decellularisation
Subjects:	H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering > H161 - Biomaterials H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering > H162 - Biomechanics (including fluid & solid mechanics)
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 Engineering
Related resources:	Location Type https://doi.org/10.1302/2046-3758.811.BJR-2019-0065.R1 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	15 Oct 2019 11:22
URI:	http://archive.researchdata.leeds.ac.uk/id/eprint/584
Additional details Additional details Creators: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Herbert, Anthony https://orcid.org/0000-0002-6527-2205 University Of Leeds https://doi.org/10.13039/501100000777 crossref Edwards, Jennifer https://orcid.org/0000-0003-4152-6140 University Of Leeds https://doi.org/10.13039/501100000777 crossref Type of data: Dataset Research funders: EPSRC, EPSRC Grant numbers: EP/P001076/1, EP/I017801/1 Publication date: 2019 Resource language: English Metadata language: English Research project title: Optimising knee therapies through improved population stratification and precision of the intervention, E-TERM, Engineering Tissue Engineering and Regenerative Medicine Publisher: University of Leeds Contact Email Address: a.herbert@leeds.ac.uk Last Modified: 10 Jun 2020 17:12

Files

Documentation

Readme [558B] Readme [558B] Readme [558B] Visible to: Anyone File name: readme.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 558B

Data

7mm Graft Mechanical Data [2MB] 7mm Graft Mechanical Data [2MB] 7mm Graft Mechanical Data [2MB] Visible to: Anyone File name: 7mm-Cyclic_and_pull_out_testing.zip Content type: Data Description: Raw data for cyclic and pull out testing for each 7mm graft specimen Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 2MB

8mm Graft Mechanical Data [1MB] 8mm Graft Mechanical Data [1MB] 8mm Graft Mechanical Data [1MB] Visible to: Anyone File name: 8mm-Cyclic_and_pull_out_testing.zip Content type: Data Description: Raw data for cyclic and pull out testing for each 8mm graft specimen Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1MB

9mm Graft Mechanical Data [1MB] 9mm Graft Mechanical Data [1MB] 9mm Graft Mechanical Data [1MB] Visible to: Anyone File name: 9mm-Cyclic_and_pull_out_testing.zip Content type: Data Description: Raw data for cyclic and pull out testing for each 9mm graft specimen Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1MB

Summary of Results [85kB] Summary of Results [85kB] Summary of Results [85kB] Visible to: Anyone File name: Summary_of_data.xlsx Content type: Data Description: Tables of results and graphs Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 85kB