Replication Data for: The state of food systems worldwide in the countdown to 2030doi:10.7910/DVN/A1H2SHHarvard Dataverse2023-12-071Schneider, Katherine, 2023, "Replication Data for: The state of food systems worldwide in the countdown to 2030", https://doi.org/10.7910/DVN/A1H2SH, Harvard Dataverse, V1, UNF:6:W+dprnqI76ilDO9UEuY3cg== [fileUNF]Replication Data for: The state of food systems worldwide in the countdown to 2030doi:10.7910/DVN/A1H2SHSchneider, KatherineHarvard DataverseSchneider, KatherineSchneider, Katherine2023-10-30Agricultural SciencesEarth and Environmental SciencesMedicine, Health and Life SciencesSocial Sciencesfood systems, indicators, monitoring systemsArchival replication dataset for the 2023 publication: "The state of food systems worldwide in the countdown to 2030". The replication code and raw data are all available in the following GitHub repository: https://github.com/KateSchneider-FoodPol/FSCI_2023Baseline_Replication This archived dataset serves to provide a DOI and citation for the dataset.<a href="http://creativecommons.org/licenses/by-nc-sa/4.0">CC BY-NC-SA 4.0</a>Schneider, K., Fanzo, J., Haddad, L., et al. “The state of food systems worldwide in the countdown to 2030.” Nature Food (Dec 2023).Schneider, K., Fanzo, J., Haddad, L., et al. “The state of food systems worldwide in the countdown to 2030.” Nature Food (Dec 2023).FSCI 2023 - Time series with weight variables.tab12222135text/tab-separated-valuesUNF:6:W+dprnqI76ilDO9UEuY3cg==Time series dataset contains all available data, and includes additional variables necessary for calculating weighted summary 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2023 - Baseline dataset.xlsxBaseline dataset contains the latest data point per country per indicator. application/vnd.openxmlformats-officedocument.spreadsheetml.sheet