implications_sustainable_diets_dataset

<p>Datasets for the figure creation and analysis code available in the paired <a href="https://github.com/klau506/implications_sustainable_diets">GitHub repository</a>. These data and the analysis code support the journal publication Rod&eacute;s-Bachs, C., Sampedro, J., Van de Ven, D., Horowitz, R., Pardo, G., and Zhao, X. (2024)&nbsp;<em>Environmental and societal implications of transitioning to sustainable diets.</em></p> <h3>How to use this data?</h3> <ol> <li>Download the data from this Zenodo archive and unpack the files.</li> <li>Clone or download this <a href="https://github.com/klau506/implications_sustainable_diets/tree/diets_v1">code version</a> from the GitHub repository.</li> <li>Run the code. If you are familiarized with Docker we recommend you to follow option `a)`, which provides you an R running environment. Otherwise, you can follow option `b)`, which requires Rstudio and to install manually the necessary libraries. <ol> <li> <p>Download&nbsp;<a href="https://docs.docker.com/get-docker/" rel="nofollow">Docker</a>, open Docker Desktop, and download the following docker image through your console:</p> <div> <pre><code>docker pull claudiarodes/implications_sustainable_diets:diets_v1 </code><br>Run the docker image adjusting the full path to the repository folder:</pre> </div> <div> <pre><code>docker run -v /full_path_to_the_repository_folder/implications_sustainable_diets:/app -it implications_sustainable_diets</code> </pre> </div> <p>Run the&nbsp;<code>R/paper_analysis.R</code>script to produce all the figures of the study, both from the main manuscript and the supplementary information and the&nbsp;<code>R/paper_methodology.R</code> script to produce the graphics to illustrate the ensemble design and uncertainty dimensions considered in the study.</p> </li> <li> <p>Download&nbsp;<a href="https://posit.co/products/open-source/rstudio/" rel="nofollow">RStudio</a>, open it, and run the&nbsp;<code>R/paper_analysis.R</code> script to produce all the figures of the study, both from the main manuscript and the supplementary information and the <code>R/paper_methodology.R</code> script to produce the graphics to illustrate the ensemble design and uncertainty dimensions considered in the study.</p> </li> </ol> </li> </ol> <pre>&nbsp;</pre> <h3>Funding source</h3> <p>This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement number 101056306 (IAM COMPACT project).</p>