<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">10.26165/JUELICH-DATA/PGVBVG</identifier><creators><creator><creatorName nameType="Personal">Emmerichs, Tamara</creatorName><givenName>Tamara</givenName><familyName>Emmerichs</familyName><nameIdentifier nameIdentifierScheme="ORCID">0000-0002-0165-9574</nameIdentifier><affiliation>Max Planck Institute for Meteorology</affiliation></creator></creators><titles><title>Model outputs from the study "Can atmospheric chemistry deposition schemes reliably simulate stomatal ozone flux across global land covers and climates?""</title></titles><publisher>Jülich DATA</publisher><publicationYear>2025</publicationYear><subjects><subject>Earth and Environmental Sciences</subject></subjects><contributors><contributor contributorType="ContactPerson"><contributorName nameType="Personal">Emmerichs, Tamara</contributorName><givenName>Tamara</givenName><familyName>Emmerichs</familyName><affiliation>Max Planck Institute for Meteorology</affiliation></contributor><contributor contributorType="DataCurator"><contributorName nameType="Personal">Emberson, Lisa Dianne</contributorName><givenName>Lisa Dianne</givenName><familyName>Emberson</familyName></contributor><contributor contributorType="DataCurator"><contributorName>Mao, Huiting</contributorName></contributor><contributor contributorType="DataCurator"><contributorName>Zhang, Leiming</contributorName></contributor><contributor contributorType="DataCurator"><contributorName nameType="Personal">Huang, Min</contributorName><givenName>Min</givenName><familyName>Huang</familyName></contributor><contributor contributorType="DataCurator"><contributorName nameType="Personal">Gerosa, Giacomo</contributorName><givenName>Giacomo</givenName><familyName>Gerosa</familyName></contributor><contributor contributorType="DataCurator"><contributorName nameType="Personal">Guaita, Pierluigi Renan</contributorName><givenName>Pierluigi Renan</givenName><familyName>Guaita</familyName></contributor><contributor contributorType="DataCurator"><contributorName nameType="Personal">Betancourt, Clara</contributorName><givenName>Clara</givenName><familyName>Betancourt</familyName></contributor><contributor contributorType="DataCollector"><contributorName nameType="Personal">Koren, Gerbrand</contributorName><givenName>Gerbrand</givenName><familyName>Koren</familyName></contributor><contributor contributorType="DataCollector"><contributorName>Ran, Limei</contributorName></contributor><contributor contributorType="DataCollector"><contributorName nameType="Personal">Wong, Anthony Y. H.</contributorName><givenName>Anthony Y. H.</givenName><familyName>Wong</familyName></contributor><contributor contributorType="DataManager"><contributorName nameType="Personal">Mamun, Abdulla</contributorName><givenName>Abdulla</givenName><familyName>Mamun</familyName></contributor></contributors><dates><date dateType="Updated">2025-11-24</date></dates><resourceType resourceTypeGeneral="Dataset"/><alternateIdentifiers><alternateIdentifier alternateIdentifierType="https://zenodo.org">15812487</alternateIdentifier></alternateIdentifiers><relatedIdentifiers><relatedIdentifier relationType="IsCitedBy" relatedIdentifierType="DOI">10.5281/zenodo.15812487</relatedIdentifier></relatedIdentifiers><version>1.0</version><rightsList><rights rightsURI="info:eu-repo/semantics/openAccess"/><rights/></rightsList><descriptions><description descriptionType="Abstract">&lt;p>Over the past few decades, ozone risk assessments for vegetation have evolved two methods based on stomatal O&lt;sub>3&lt;/sub> flux. However, substantial uncertainties remain in accurately simulating these fluxes. In the study by Emmerichs et al. ("Can atmospheric chemistry deposition schemes reliably simulate stomatal ozone flux across global land covers and climates?", Biogeosciences 2025)&amp;nbsp; investigate stomatal O&lt;sub>3&lt;/sub> fluxes across various land cover types worldwide simulated by six established deposition models. This dataset contains the main model output from WebDO3SE (csv data per station) and simulated sunlit and total stomatal conductance from the TEMIR, ZHANG, CMAQ and MESSy models (xlsx data file).&lt;/p></description></descriptions><geoLocations/></resource>