<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"><identifier identifierType="DOI">10.7910/DVN/A1H2SH</identifier><creators><creator><creatorName nameType="Personal">Schneider, Katherine</creatorName><givenName>Katherine</givenName><familyName>Schneider</familyName><nameIdentifier nameIdentifierScheme="ORCID">0000-0002-6861-3255</nameIdentifier><affiliation>Johns Hopkins</affiliation></creator></creators><titles><title>Replication Data for: The state of food systems worldwide in the countdown to 2030</title></titles><publisher>Harvard Dataverse</publisher><publicationYear>2023</publicationYear><subjects><subject>Agricultural Sciences</subject><subject>Earth and Environmental Sciences</subject><subject>Medicine, Health and Life Sciences</subject><subject>Social Sciences</subject><subject schemeURI="https://www.fao.org/agrovoc/" subjectScheme="AGROVOC">food systems, indicators, monitoring systems</subject></subjects><contributors><contributor contributorType="ContactPerson"><contributorName nameType="Personal">Schneider, Katherine</contributorName><givenName>Katherine</givenName><familyName>Schneider</familyName><affiliation>Johns Hopkins</affiliation></contributor></contributors><dates><date dateType="Submitted">2023-10-30</date><date dateType="Updated">2023-12-07</date></dates><resourceType resourceTypeGeneral="Dataset"/><sizes><size>215328</size><size>7382349</size></sizes><formats><format>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</format><format>text/tab-separated-values</format></formats><version>1.0</version><rightsList><rights rightsURI="info:eu-repo/semantics/openAccess"/><rights rightsURI="http://creativecommons.org/licenses/by-nc-sa/4.0">CC BY-NC-SA 4.0</rights></rightsList><descriptions><description descriptionType="Abstract">Archival 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.</description></descriptions><geoLocations/></resource>