<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Sustainable livestock development in low and middle income countries – shedding light on evidence-based solutions: systematic literature search and expert survey</dcterms:title><dcterms:identifier>https://doi.org/10.7910/DVN/CDVOJ1</dcterms:identifier><dcterms:creator>Paul, Birthe</dcterms:creator><dcterms:creator>Butterbach-Bahl, Klaus</dcterms:creator><dcterms:creator>Notenbaert, An</dcterms:creator><dcterms:creator>Nduah, Alex Nderi</dcterms:creator><dcterms:creator>Ericksen, Polly</dcterms:creator><dcterms:publisher>Harvard Dataverse</dcterms:publisher><dcterms:issued>2020-10-06</dcterms:issued><dcterms:modified>2023-03-09T14:21:35Z</dcterms:modified><dcterms:description>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.</dcterms:description><dcterms:subject>Agricultural Sciences</dcterms:subject><dcterms:subject>Earth and Environmental Sciences</dcterms:subject><dcterms:subject>livestock production systems</dcterms:subject><dcterms:subject>low emission livestock</dcterms:subject><dcterms:subject>environmental impact</dcterms:subject><dcterms:subject>low and middle income countries</dcterms:subject><dcterms:subject>sustainable development</dcterms:subject><dcterms:subject>Crops for Nutrition and Health</dcterms:subject><dcterms:subject>Africa</dcterms:subject><dcterms:date>2020-10-06</dcterms:date><dcterms:contributor>Nyakundi, Fridah</dcterms:contributor><dcterms:dateSubmitted>2020-10-01</dcterms:dateSubmitted><dcterms:temporal>1945</dcterms:temporal><dcterms:temporal>2019</dcterms:temporal><dcterms:temporal>2019-07-22</dcterms:temporal><dcterms:temporal>2019-11-15</dcterms:temporal><dcterms:type>meta data</dcterms:type><dcterms:type>Survey Data</dcterms:type><dcterms:rights>&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 />
These data and documents are licensed under a &lt;a href="http://creativecommons.org/licenses/by/4.0/" target="_blank"> Creative Commons Attribution 4.0 International license.&lt;/a> You may copy, distribute and transmit the data as long as you acknowledge the source through proper &lt;a href="http://best-practices.dataverse.org/data-citation/" target="_blank">data citation&lt;/a>.&lt;/P></dcterms:rights></metadata>