{"id":18833,"identifier":"JUELICH-DATA/4DP2G2","persistentUrl":"https://doi.org/10.26165/JUELICH-DATA/4DP2G2","protocol":"doi","authority":"10.26165","publisher":"Jülich DATA","publicationDate":"2024-12-06","storageIdentifier":"s3://10.26165/JUELICH-DATA/4DP2G2","datasetVersion":{"id":630,"datasetId":18833,"datasetPersistentId":"doi:10.26165/JUELICH-DATA/4DP2G2","storageIdentifier":"s3://10.26165/JUELICH-DATA/4DP2G2","versionNumber":1,"versionMinorNumber":0,"versionState":"RELEASED","lastUpdateTime":"2024-12-06T09:52:04Z","releaseTime":"2024-12-06T09:52:04Z","createTime":"2024-12-06T09:01:53Z","license":"CC0","termsOfUse":"CC0 Waiver","fileAccessRequest":false,"metadataBlocks":{"citation":{"displayName":"Citation Metadata","fields":[{"typeName":"title","multiple":false,"typeClass":"primitive","value":"EURAD-IM air quality analysis for four emission scenarios and related mortality data"},{"typeName":"author","multiple":true,"typeClass":"compound","value":[{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Franke, Philipp"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Forschungszentrum Jülich"},"authorIdentifierScheme":{"typeName":"authorIdentifierScheme","multiple":false,"typeClass":"controlledVocabulary","value":"ORCID"},"authorIdentifier":{"typeName":"authorIdentifier","multiple":false,"typeClass":"primitive","value":"EURAD-IM air quality analysis for four emission scenarios and related mortality data"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Lange, Anne Caroline"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Forschungszentrum Jülich"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Steffens, Brendan"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Max Planck Institute for Chemistry"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Pozzer, Andrea"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Max Planck Institute for Chemistry and The Cyprus Institute"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Wahner, Andreas"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Forschungszentrum Jülich"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Kiendler-Scharr, Astrid"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Forschungszentrum Jülich"}}]},{"typeName":"datasetContact","multiple":true,"typeClass":"compound","value":[{"datasetContactName":{"typeName":"datasetContactName","multiple":false,"typeClass":"primitive","value":"Franke, Philipp"},"datasetContactAffiliation":{"typeName":"datasetContactAffiliation","multiple":false,"typeClass":"primitive","value":"Forschungszentrum Jülich"},"datasetContactEmail":{"typeName":"datasetContactEmail","multiple":false,"typeClass":"primitive","value":"p.franke@fz-juelich.de"}}]},{"typeName":"dsDescription","multiple":true,"typeClass":"compound","value":[{"dsDescriptionValue":{"typeName":"dsDescriptionValue","multiple":false,"typeClass":"primitive","value":"Daily mean concentrations for EURAD-IM simulations using four different scenarios of anthropogenic emissions are provided for PM2.5, PM10, NO2, O3, and 7 speciated aerosols for the year 2016 in Europe. In addition, the mortality due to air pollution for each emission scenario and associated population data is provided. \r\n\r\nThe emission scenarios use updated emissions based on CAMS-REG-AP V3.1 (https://eccad.aeris-data.fr/) and anthropogenic emissions within Germany from the German Environment Agency (Umweltbundesamt), submission 2019 V2. They simulate standard emissions without changes (\"baseemis\" dataset), emission reductions committed by the European Union member states (\"euemis\"), additional reductions aiming to reduce high PM2.5 concentrations (\"eu30\"), and eliminating all anthropogenic emissions (\"zeroemis\"). The dataset is core of the manuscript \"European air quality in view of the WHO 2021 guideline levels: Effect of emission reductions on air pollution exposure\" published in Elementa (doi: https://doi.org/10.1525/elementa.2023.00127).\r\n\r\nPopulation data is taken from the Global Burden of Desease (GBD, GBD 2019 Risk Factors Collaborators, 2020) in conjuction with populatoin distribution data from the NASA Socioeconomic Data and Applications Center (SEDAC, Center for International Earth Science Information Network, 2016)."}}]},{"typeName":"subject","multiple":true,"typeClass":"controlledVocabulary","value":["Earth and Environmental Sciences"]},{"typeName":"keyword","multiple":true,"typeClass":"compound","value":[{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Air pollution"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Emission scenario"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"EURAD-IM"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"WHO air quality guidelines"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Air quality"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Europe"}}]},{"typeName":"publication","multiple":true,"typeClass":"compound","value":[{"publicationCitation":{"typeName":"publicationCitation","multiple":false,"typeClass":"primitive","value":"Franke, P., Lange, A. C., Steffens, B., Pozzer, A., Wahner, A., & Kiendler-Scharr, A. (2023). EURAD-IM air quality analysis for four emission scenarios and related mortality data. [Data set]. Zenodo."},"publicationIDType":{"typeName":"publicationIDType","multiple":false,"typeClass":"controlledVocabulary","value":"doi"},"publicationIDNumber":{"typeName":"publicationIDNumber","multiple":false,"typeClass":"primitive","value":"https://doi.org/10.5281/zenodo.10046058"}},{"publicationCitation":{"typeName":"publicationCitation","multiple":false,"typeClass":"primitive","value":"Thörnig, P. 2021. JURECA: Data centric and booster modules implementing the modular supercomputing architecture at Jülich Supercomputing Centre. Journal of large-scale Research Facilities 7: A182."},"publicationIDType":{"typeName":"publicationIDType","multiple":false,"typeClass":"controlledVocabulary","value":"doi"},"publicationIDNumber":{"typeName":"publicationIDNumber","multiple":false,"typeClass":"primitive","value":"https://doi.org/10.17815/jlsrf-7-182"}},{"publicationCitation":{"typeName":"publicationCitation","multiple":false,"typeClass":"primitive","value":"Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. Gridded Population of the World, Version 4 (GPWv4): Population Count [Internet]. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). Accessed 29 September 2023"},"publicationIDType":{"typeName":"publicationIDType","multiple":false,"typeClass":"controlledVocabulary","value":"doi"},"publicationIDNumber":{"typeName":"publicationIDNumber","multiple":false,"typeClass":"primitive","value":"https://doi.org/10.7927/H4X63JVC"}},{"publicationCitation":{"typeName":"publicationCitation","multiple":false,"typeClass":"primitive","value":"GBD 2019 Risk Factors Collaborators. 2020. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease study 2019. The Lancet 396(10258): 1223–1249."},"publicationIDType":{"typeName":"publicationIDType","multiple":false,"typeClass":"controlledVocabulary","value":"doi"},"publicationIDNumber":{"typeName":"publicationIDNumber","multiple":false,"typeClass":"primitive","value":"https://doi.org/10.1016/S0140-6736(20)30752-2"}},{"publicationCitation":{"typeName":"publicationCitation","multiple":false,"typeClass":"primitive","value":"Franke, P, Lange, AC, Steffens, B, Pozzer, A, Wahner, A, Kiendler-Scharr, A. 2024. European air quality in view of the WHO 2021 guideline levels: Effect of emission reductions on air pollution exposure. Elementa, 12: 1."},"publicationIDType":{"typeName":"publicationIDType","multiple":false,"typeClass":"controlledVocabulary","value":"doi"},"publicationIDNumber":{"typeName":"publicationIDNumber","multiple":false,"typeClass":"primitive","value":"https://doi.org/10.1525/elementa.2023.00127"}}]},{"typeName":"depositor","multiple":false,"typeClass":"primitive","value":"Franke, Philipp"},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2023-10-27"}]},"fzj":{"displayName":"FZJ Metadata","fields":[{"typeName":"institute","multiple":true,"typeClass":"controlledVocabulary","value":["ICE-3"]},{"typeName":"pof4","multiple":true,"typeClass":"controlledVocabulary","value":["Air Quality (POF4-2111)"]}]}},"files":[],"citation":"Franke, Philipp; Lange, Anne Caroline; Steffens, Brendan; Pozzer, Andrea; Wahner, Andreas; Kiendler-Scharr, Astrid, 2024, \"EURAD-IM air quality analysis for four emission scenarios and related mortality data\", https://doi.org/10.26165/JUELICH-DATA/4DP2G2, Jülich DATA, V1"}}