Data

Associated data for the paper: A genomic framework to evaluate, prioritise and supplement wild and restored sites

The University of Queensland
Mr Richard Dimon (Aggregated by) Mr Richard Dimon (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/b686ada&rft.title=Associated data for the paper: A genomic framework to evaluate, prioritise and supplement wild and restored sites&rft.identifier=RDM ID: 808db28b-300a-4f75-bbb5-bd19fe034f68&rft.publisher=The University of Queensland&rft.description=The following resources include associated R scripts, custom R functions, and curated genomic datasets supporting the publication “A genomic framework to evaluate, prioritise and supplement wild and restored sites.” All analyses were conducted in R using a combination of established packages and bespoke functions developed for this study. Filtered dms genomic data files underpinning the analyses are available from the authors upon reasonable request. Custom analytical functions and example workflows are publicly accessible via GitHub (https://github.com/RichardDimon/R_Scripts) to facilitate transparency, reproducibility, and reuse in restoration genomics applications.&rft.creator=Mr Richard Dimon&rft.creator=Mr Richard Dimon&rft.date=2026&rft_rights= https://guides.library.uq.edu.au/deposit-your-data/license-reuse-data-agreement&rft_subject=eng&rft_subject=Environmental rehabilitation and restoration&rft_subject=Environmental management&rft_subject=ENVIRONMENTAL SCIENCES&rft.type=dataset&rft.language=English Access the data
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[email protected]
Queensland Alliance for Agriculture and Food Innovation

Full description

The following resources include associated R scripts, custom R functions, and curated genomic datasets supporting the publication “A genomic framework to evaluate, prioritise and supplement wild and restored sites.” All analyses were conducted in R using a combination of established packages and bespoke functions developed for this study. Filtered dms genomic data files underpinning the analyses are available from the authors upon reasonable request. Custom analytical functions and example workflows are publicly accessible via GitHub (https://github.com/RichardDimon/R_Scripts) to facilitate transparency, reproducibility, and reuse in restoration genomics applications.

Issued: 22 01 2026

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Subjects
Environmental Sciences | Environmental Management | Environmental Rehabilitation and Restoration | eng |

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Identifiers
ACN 633 798 857