Datasets for the figure creation and analysis code available in the paired GitHub repository. These data and the analysis code support the journal publication Rodés-Bachs, C., Sampedro, J., Van de Ven, D., Horowitz, R., Pardo, G., and Zhao, X. (2025) Region-specific and nutritionally adequate dietary transitions can bolster sustainability and socioeconomic benefits.

How to use this data?

1. Download the data from this Zenodo archive and unpack the files.
2. Clone or download this code version from the GitHub repository.
3. 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.

   1. Download Docker, open Docker Desktop, and download the following docker image through your console:

      docker pull claudiarodes/implications_sustainable_diets:diets_v1
      
      Run the docker image adjusting the full path to the repository folder:

      docker run -v /full_path_to_the_repository_folder/implications_sustainable_diets:/app -it implications_sustainable_diets 

      Run the R/paper_analysis.Rscript to produce all the figures of the study, both from the main manuscript and the supplementary information and the R/paper_methodology.R script to produce the graphics to illustrate the ensemble design and uncertainty dimensions considered in the study.

   2. Download RStudio, open it, and run the R/paper_analysis.R script to produce all the figures of the study, both from the main manuscript and the supplementary information and the R/paper_methodology.R script to produce the graphics to illustrate the ensemble design and uncertainty dimensions considered in the study.

Funding source

This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement number 101056306 (IAM COMPACT project).