Anne E M van den Oever, Stefano Puricelli, Daniele Costa, Nils Thonemann, Maeva Lavigne Philippot, Maarten Messagie
{"title":"Dataset with updated ozone depletion characterization factors for life cycle impact assessment.","authors":"Anne E M van den Oever, Stefano Puricelli, Daniele Costa, Nils Thonemann, Maeva Lavigne Philippot, Maarten Messagie","doi":"10.1016/j.dib.2024.111103","DOIUrl":null,"url":null,"abstract":"<p><p>This dataset provides the latest characterization factors for ozone depletion based on the most recent ozone depletion potentials from the 2022 World Meteorological Organization (WMO) scientific assessment. These characterization factors can be used in life cycle assessment (LCA) to convert emissions of ozone-depleting substances to the common unit of the ozone depletion impact category, measured in kg CFC-11-eq. The dataset is formatted for easy import into LCA software such as Brightway, the Activity Browser, and SimaPro. The characterization factors are provided for both 100-year and infinite time horizons. The dataset addresses the current limitations of life cycle impact assessment (LCIA) methods, which are outdated and lack comprehensive substance coverage, by including 318 substances reported in the latest WMO assessment. This update ensures relevance for current ozone depletion assessment, including substances banned but still in use, very short-lived substances, and N<sub>2</sub>O. The methodology for updating and converting characterization factors is provided, supporting future updates in line with new scientific assessments. The dataset aims to enhance the accuracy and comprehensiveness of ozone depletion impact assessments in LCA studies.</p>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"57 ","pages":"111103"},"PeriodicalIF":1.0000,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11615921/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data in Brief","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.dib.2024.111103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
This dataset provides the latest characterization factors for ozone depletion based on the most recent ozone depletion potentials from the 2022 World Meteorological Organization (WMO) scientific assessment. These characterization factors can be used in life cycle assessment (LCA) to convert emissions of ozone-depleting substances to the common unit of the ozone depletion impact category, measured in kg CFC-11-eq. The dataset is formatted for easy import into LCA software such as Brightway, the Activity Browser, and SimaPro. The characterization factors are provided for both 100-year and infinite time horizons. The dataset addresses the current limitations of life cycle impact assessment (LCIA) methods, which are outdated and lack comprehensive substance coverage, by including 318 substances reported in the latest WMO assessment. This update ensures relevance for current ozone depletion assessment, including substances banned but still in use, very short-lived substances, and N2O. The methodology for updating and converting characterization factors is provided, supporting future updates in line with new scientific assessments. The dataset aims to enhance the accuracy and comprehensiveness of ozone depletion impact assessments in LCA studies.
期刊介绍:
Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.