<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/SIGLZW</identifier><creators><creator><creatorName nameType="Personal">Arnold, Lukas</creatorName><givenName>Lukas</givenName><familyName>Arnold</familyName><nameIdentifier nameIdentifierScheme="ORCID">0000-0002-5939-8995</nameIdentifier></creator><creator><creatorName nameType="Personal">Ashish Vinayak</creatorName><givenName>Ashish</givenName><familyName>Vinayak</familyName></creator><creator><creatorName nameType="Personal">Hehnen, Tristan</creatorName><givenName>Tristan</givenName><familyName>Hehnen</familyName><nameIdentifier nameIdentifierScheme="ORCID">0000-0002-6123-261X</nameIdentifier></creator><creator><creatorName nameType="Personal">Lauer, Patrick</creatorName><givenName>Patrick</givenName><familyName>Lauer</familyName></creator><creator><creatorName nameType="Personal">Trettin, Corinna</creatorName><givenName>Corinna</givenName><familyName>Trettin</familyName></creator></creators><titles><title>PROPTI - An Generalised Inverse Modelling Framework - Data Set</title></titles><publisher>Jülich DATA</publisher><publicationYear>2025</publicationYear><subjects><subject>Other</subject><subject>fire dynamics</subject><subject>simulation</subject><subject>inverse modelling</subject><subject>pyrolysis</subject><subject>PROPTI</subject></subjects><contributors><contributor contributorType="ProjectMember"><contributorName nameType="Organizational">University of Wuppertal</contributorName></contributor></contributors><dates><date dateType="Updated">2025-01-08</date></dates><resourceType resourceTypeGeneral="Dataset"/><version>1.0</version><rightsList><rights rightsURI="info:eu-repo/semantics/openAccess"/><rights/></rightsList><descriptions><description descriptionType="Abstract">Data set supplementary to the conference paper "PROPTI - A Generalised Inverse Modelling Framework", presented at the 3rd European Symposium on Fire Safety Science, ESFSS 2018 in Nancy, France. The data includes experimental and simulation data.</description></descriptions><geoLocations/></resource>