<?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>Alpaca 0.2.0</titl><IDNo agency="DOI">doi:10.26165/JUELICH-DATA/MO2IVD</IDNo></titlStmt><distStmt><distrbtr source="archive">Jülich DATA</distrbtr><distDate>2023-12-06</distDate></distStmt><verStmt source="DVN"><version date="2024-02-16" type="RELEASED">1</version></verStmt><biblCit>Köhler, Cristiano André, 2023, "Alpaca 0.2.0", https://doi.org/10.26165/JUELICH-DATA/MO2IVD, Jülich DATA, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Alpaca 0.2.0</titl><IDNo agency="DOI">doi:10.26165/JUELICH-DATA/MO2IVD</IDNo><IDNo agency="Zenodo">doi:10.5281/zenodo.10277861</IDNo></titlStmt><rspStmt><AuthEnty affiliation="INM-6/INM-10, Forschungszentrum Jülich">Köhler, Cristiano André</AuthEnty></rspStmt><prodStmt/><distStmt><distrbtr source="archive">Jülich DATA</distrbtr><contact affiliation="INM-6/INM-10, Forschungszentrum Jülich" email="m.denker@fz-juelich.de">Denker, Michael</contact><depositr>Denker, Michael</depositr><depDate>2024-02-16</depDate></distStmt></citation><stdyInfo><subject><keyword>Computer and Information Science</keyword><keyword>Medicine, Health and Life Sciences</keyword><keyword>Physics</keyword><keyword>provenance</keyword><keyword>Python</keyword><keyword>software</keyword></subject><abstract date="2023-12-06">Alpaca Release 0.2.0, see https://alpaca-prov.readthedocs.io</abstract><sumDscr/></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><notes type="DVN:TOU" level="dv">BSD 3-Clause</notes><setAvail/><useStmt/></dataAccs><othrStdyMat><relPubl><citation><titlStmt><IDNo agency="doi">10.48550/arXiv.2311.09672</IDNo></titlStmt><biblCit>Köhler, C.A., Ulianych, D., Grün, S., Decker, S., Denker, M., 2023. Facilitating the sharing of electrophysiology data analysis results through in-depth provenance capture. https://doi.org/10.48550/arXiv.2311.09672</biblCit></citation><ExtLink URI="https://doi.org/10.48550/arXiv.2311.09672"/></relPubl></othrStdyMat></stdyDscr></codeBook>