<?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>Sustainable livestock development in low and middle income countries – shedding light on evidence-based solutions: systematic literature search and expert survey</titl><IDNo agency="DOI">doi:10.7910/DVN/CDVOJ1</IDNo></titlStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distDate>2020-10-06</distDate></distStmt><verStmt source="archive"><version date="2023-03-09" type="RELEASED">1</version></verStmt><biblCit>Paul, Birthe; Butterbach-Bahl, Klaus; Notenbaert, An; Nduah, Alex Nderi; Ericksen, Polly, 2020, "Sustainable livestock development in low and middle income countries – shedding light on evidence-based solutions: systematic literature search and expert survey", https://doi.org/10.7910/DVN/CDVOJ1, Harvard Dataverse, V1, UNF:6:ddjUztwow/WULAOFyryXLQ== [fileUNF]</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Sustainable livestock development in low and middle income countries – shedding light on evidence-based solutions: systematic literature search and expert survey</titl><IDNo agency="DOI">doi:10.7910/DVN/CDVOJ1</IDNo></titlStmt><rspStmt><AuthEnty affiliation="International Center for Tropical Agriculture - CIAT">Paul, Birthe</AuthEnty><AuthEnty affiliation="International Livestock Research Institute (ILRI), Karlsruhe Institute of Technology (KIT)">Butterbach-Bahl, Klaus</AuthEnty><AuthEnty affiliation="International Center for Tropical Agriculture - CIAT">Notenbaert, An</AuthEnty><AuthEnty affiliation="International Center for Tropical Agriculture - CIAT">Nduah, Alex Nderi</AuthEnty><AuthEnty affiliation="International Livestock Research Institute (ILRI)">Ericksen, Polly</AuthEnty></rspStmt><prodStmt><producer>The Alliance of Bioversity International and CIAT</producer><prodPlac>Nairobi, Kenya</prodPlac></prodStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><contact affiliation="The Alliance of Bioversity International and CIAT" email="alliance-dm@cgiar.org">Alliance Data Management</contact><depositr>Nyakundi, Fridah</depositr><depDate>2020-10-01</depDate></distStmt><holdings URI="https://doi.org/10.7910/DVN/CDVOJ1"/></citation><stdyInfo><subject><keyword xml:lang="en">Agricultural Sciences</keyword><keyword xml:lang="en">Earth and Environmental Sciences</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_331557">livestock production systems</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_331378">low emission livestock</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_33483">environmental impact</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_2222">low and middle income countries</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_35332">sustainable development</keyword><keyword vocab="Research Lever">Crops for Nutrition and Health</keyword><keyword vocab="Research Regions">Africa</keyword></subject><abstract date="2020-10-01">This dataset consists of two types of data that were used in the analysis for the perspective paper ‘Sustainable livestock development in low and middle income countries – shedding light on evidence-based solutions’: i) a sub-set of results of a systematic literature search in the Web of Science to take stock of the global distribution of research on livestock and the environment; ii) responses to four questions of an expert survey conducted among 260 respondents to explore global perceptions of environmental impacts of livestock and available solutions.</abstract><sumDscr><timePrd cycle="P1" event="start" date="1945">1945</timePrd><timePrd cycle="P1" event="end" date="2019">2019</timePrd><collDate cycle="P1" event="start" date="2019-07-22">2019-07-22</collDate><collDate cycle="P1" event="end" date="2019-11-15">2019-11-15</collDate><geogUnit>global, Africa</geogUnit><dataKind>meta data</dataKind><dataKind>Survey Data</dataKind></sumDscr></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/><notes type="DVN:TOU" level="dv">&lt;P>&lt;a rel="license" href="http://creativecommons.org/licenses/by/4.0/" target="_blank">&lt;img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" />&lt;/a>&lt;br />
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