<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Sensitivity analysis for an effective transfer of estimated material properties from cone calorimeter to horizontal flame spread simulations -- Dataset</titl><IDNo agency="DOI">doi:10.26165/JUELICH-DATA/HKV8FH</IDNo></titlStmt><distStmt><distrbtr source="archive">Jülich DATA</distrbtr><distDate>2025-01-08</distDate></distStmt><verStmt source="DVN"><version date="2025-01-08" type="RELEASED">1</version></verStmt><biblCit>Arnold, Lukas; Hehnen, Tristan; Quaresma, Tássia L.S., 2025, "Sensitivity analysis for an effective transfer of estimated material properties from cone calorimeter to horizontal flame spread simulations -- Dataset", https://doi.org/10.26165/JUELICH-DATA/HKV8FH, Jülich DATA, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Sensitivity analysis for an effective transfer of estimated material properties from cone calorimeter to horizontal flame spread simulations -- Dataset</titl><IDNo agency="DOI">doi:10.26165/JUELICH-DATA/HKV8FH</IDNo></titlStmt><rspStmt><AuthEnty>Arnold, Lukas</AuthEnty><AuthEnty>Hehnen, Tristan</AuthEnty><AuthEnty>Quaresma, Tássia L.S.</AuthEnty><othId role="Project Member">University of Wuppertal</othId></rspStmt><prodStmt/><distStmt><distrbtr source="archive">Jülich DATA</distrbtr></distStmt></citation><stdyInfo><subject><keyword>Other</keyword><keyword>fire dynamics</keyword><keyword>simulations</keyword><keyword>computational fluid dynamics</keyword><keyword>sensitivity analysis</keyword><keyword>PMMA</keyword></subject><abstract>This dataset is a supplementary resource for the article "Sensitivity analysis for an effective transfer of estimated material properties from cone calorimeter to horizontal flame spread simulations", published in the Fire Safety Journal. This collection contains mostly Python and bash scripts used to create multiple FDS input files, run the simulations on a computer cluster, and post-process the simulation results for the global sensitivity analysis.</abstract><sumDscr><collDate cycle="P1" event="start" date="2024-02-16">2024-02-16</collDate></sumDscr></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/></dataAccs><othrStdyMat/></stdyDscr></codeBook>