{"data":{"id":"10.4121/bea8a3fe-e34c-4598-9f94-c5a5c63348e5","type":"dois","attributes":{"doi":"10.4121/bea8a3fe-e34c-4598-9f94-c5a5c63348e5","prefix":"10.4121","suffix":"bea8a3fe-e34c-4598-9f94-c5a5c63348e5","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Yin, Feijia","givenName":"Feijia","familyName":"Yin","affiliation":[],"nameIdentifiers":[]},{"name":"Castino, Federica","givenName":"Federica","familyName":"Castino","affiliation":[],"nameIdentifiers":[]},{"name":"Rao, Pratik","givenName":"Pratik","familyName":"Rao","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Data accompanying the manuscript \"Predicting the climate impact of aviation for en-route emissions: The algorithmic climate change function submodel ACCF 1.0 of EMAC 2.53\""}],"publisher":"4TU.ResearchData","container":{},"publicationYear":2023,"subjects":[{"subject":"Aerospace Transport","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"8803"},{"subject":"Environmentally Sustainable Transport","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"8898"},{"subject":"Atmospheric Sciences","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0401"},{"subject":"FOS: Earth and related environmental sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Earth Sciences","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"04"},{"subject":"Transport","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"88"},{"subject":"aviation climate impact"},{"subject":"climate optimized flight trajectories"},{"subject":"contrails"},{"subject":"algorithmic climate change functions"}],"contributors":[{"name":"Aircraft Noise And Climate Effects, Faculty Of Aerospace Engineering, Delft University Of Technology","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]}],"dates":[{"date":"2023-05-23","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.5194/gmd-2022-220","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":["netCDF"],"version":"1","rightsList":[{"rights":"Creative Commons Attribution Non Commercial 4.0 International","rightsUri":"https://creativecommons.org/licenses/by-nc/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-nc-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"This dataset includes results data of the publication titled \"Predicting the climate impact of aviation for en-route emissions: The algorithmic climate change function submodel ACCF 1.0 of EMAC 2.53\", which contains the average temperature response over 20 years estimated by the algorithmic climate change functions (aCCFs). 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