{"dcterms:modified":"2025-07-23","dcterms:creator":"bonndata","@type":"ore:ResourceMap","schema:additionalType":"Dataverse OREMap Format v1.0.1","dvcore:generatedBy":{"@type":"schema:SoftwareApplication","schema:name":"Dataverse","schema:version":"6.6 build 1829-192cdc4","schema:url":"https://github.com/iqss/dataverse"},"@id":"https://bonndata.uni-bonn.de/catalog/datasets/10.60507/FK2/EPR96Z/exportformat/oai-ore.json","ore:describes":{"citation:freeKeyword":[{"citation:freeKeywordValue":"emergy analysis"},{"citation:freeKeywordValue":"maize production"},{"citation:freeKeywordValue":"environmental and economic accounting"},{"citation:freeKeywordValue":"resource use efficiency"},{"citation:freeKeywordValue":"energy use efficiency"},{"citation:freeKeywordValue":"agricultural sustainability"},{"citation:freeKeywordValue":"farming"},{"citation:freeKeywordValue":"environment"}],"geospatial:geographicCoverage":{"geospatial:country":"Ghana"},"citation:dsDescription":{"citation:dsDescriptionValue":"The data file entitled “Emergy analysis of maize production in Ghana” is based on an empirical study to assess the resource as well as energy use efficiency of maize production systems using the Emergy-Data Envelopment Analysis approach, which was developed within the context of the BiomassWeb Project. The study area was Bolgatanga and Bongo Districts, Ghana, sub-Saharan Africa. The approach was developed by coupling Emergy Analysis and Data Envelopment Analysis methods into a framework, and integrating the concept of eco-efficiency into the framework to assess the resource as well as energy use efficiency and sustainability of agroecosystems as a whole. In this data file, the Emergy Analysis method is applied to achieve enviromental and economic accounting of maize production systems in Ghana. The Agricultural Production Systems sIMulator (APSIM) was used to model five maize-based production scenarios as follows:\n1.\tExtensive rainfed maize system if the external input is 0 kg/ha/yr urea, with/ without manure (Extensive0). \n2.\tExtensive rainfed maize system if the external input is 12 kg/ha/yr NPK, with/ without manure (Extensive12). \n3.\tRainfed maize-legume (cowpea - Vigna unguiculata, soybean - Glycine max, or groundnut - Arachis hypogaea) intercropping system if the external input is 20 kg/ha/yr urea, with/ without manure (Intercrop20).  \n4.\tIntensive maize system if the external input is 50 kg/ha/yr urea, including supplemental irrigation (Intensive50).\n5.\tIntensive maize system if the external input is 100 kg/ha/yr urea, including supplemental irrigation (Intensive100).\nThe five scenarios were compared on the basis of the evaluation that was achieved using the Emergy Analysis to account for resource as well as energy use efficiency and sustainability. \n\nThe data were processed using mathemathical functions in Microsoft Excel. The data file is organized in seven sheet tabs, and they are linked. Comments have been added to make the content self-explanatory. Where secondary data have been used, the sources have been cited. This data file was authored by Mwambo, Francis Molua."},"citation:subjectRefinement":[{"subjectRefinementValue":"farming"},{"subjectRefinementValue":"environment"}],"citation:datasetContact":{"citation:datasetContactName":"Francis Molua Mwambo","citation:datasetContactAffiliation":"Center for Development Research, Department Ecology and Natural Resources Management (ZEF C), University of Bonn","citation:datasetContactEmail":"mwmwambof@googlemail.com"},"geospatial:geographicBoundingBox":{"geospatial:westLongitude":"-3.26078599999994","geospatial:eastLongitude":"1.19948138100006","geospatial:northLatitude":"11.174952907","geospatial:southLatitude":"4.73894544800004"},"citation:topicClassification":[{"citation:topicClassValue":"biomass energy","citation:topicClassVocab":"GEMET - Concepts, version 2.4"},{"citation:topicClassValue":"agricultural production","citation:topicClassVocab":"GEMET - Concepts, version 2.4"},{"citation:topicClassValue":"BiomassWeb","citation:topicClassVocab":"Research Project"}],"citation:otherId":{"citation:otherIdAgency":"ZEF Data Portal","citation:otherIdValue":"0b40d479-d6dd-41e0-abd9-cc7e8e2a4240"},"author":{"citation:authorName":"Francis Molua Mwambo","citation:authorAffiliation":"Center for Development Research, Department Ecology and Natural Resources Management (ZEF C), University of Bonn"},"subject":"Other","title":"Emergy Analysis of Maize Production in Ghana","citation:notesText":"This dataset was first published on the institutional Repository \"Zentrum für Entwicklungsforschung: ZEF Data Portal\" with ID={0b40d479-d6dd-41e0-abd9-cc7e8e2a4240}.<br/>\nExcel file composed of five sheet tabs which are self-explanatory.","language":"English","otherReferences":"The empirical study was funded through a scholarship by the German Federal Ministry of Education and Research (BMBF, FZK: 031A258A) with support fund from the German Federal Ministry of Economic Cooperation and Development (BMZ). I acknowledge Prof. Dr. Sergio Ulgiati (Parthenope University of Napoli, Department of Science and Technology, Italy), for his immense technical support to synthesize this data file.","@id":"https://doi.org/10.60507/FK2/EPR96Z","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.0","schema:name":"Emergy Analysis of Maize Production in Ghana","schema:dateModified":"Mon Sep 18 12:38:33 CEST 2023","schema:datePublished":"2023-09-18","schema:creativeWorkStatus":"RELEASED","schema:license":"http://creativecommons.org/licenses/by-sa/4.0","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":true},"schema:includedInDataCatalog":"bonndata","schema:isPartOf":{"schema:name":"ZEF: Center for Development Research","@id":"https://bonndata.uni-bonn.de/dataverse/zef","schema:isPartOf":{"schema:name":"bonndata","@id":"https://bonndata.uni-bonn.de/dataverse/bonndata-root","schema:description":"<h3>bonndata is the institutional, cross-disciplinary research data repository for the publication of research data for all researchers at the University of Bonn.\n<br> bonndata is provided by the <a href=\"https://www.hrz.uni-bonn.de/de\">University IT and Data Center </a> and maintained by the <a href=\"https://www.forschungsdaten.uni-bonn.de/de\">Research Data Service Center</a>.\n<br><hr>\nReady to get started with bonndata? \n<br>\nHave a look at our <a href=\"https://confluence.team.uni-bonn.de/x/-1dqBg\">User Guide</a> to get to know the bonndata workflow, tips and tricks!\n<br><hr>\nQuestions? Need assistance? \n<br>\nGet in touch: <b> researchdata@uni-bonn.de</h3>\n<br><hr>"}},"schema:inLanguage":"en","ore:aggregates":[{"schema:description":"","schema:name":"ZEF_agr_emergy-analysis-maize-production-systems_ghana.xls","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":88,"@id":"doi:10.60507/FK2/EPR96Z/P9SUKX","schema:sameAs":"https://bonndata.uni-bonn.de/catalog/downloads/1740/ZEF_agr_emergy-analysis-maize-production-systems_ghana.xls","@type":"ore:AggregatedResource","schema:fileFormat":"application/vnd.ms-excel","dvcore:filesize":190976,"dvcore:storageIdentifier":"file://18aa78260e0-6c38bbc390a6","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"79789d395bed39e115cc6153dd44ebb4"}},{"schema:description":"","schema:name":"metadata.xml","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":88,"@id":"doi:10.60507/FK2/EPR96Z/X6PVDZ","schema:sameAs":"https://bonndata.uni-bonn.de/catalog/downloads/1737/metadata.xml","@type":"ore:AggregatedResource","schema:fileFormat":"text/xml","dvcore:filesize":23023,"dvcore:storageIdentifier":"file://18aa7824f13-5d97ac2b1b4a","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"f125f03e7991c131b3d7a7fa04c4eff9"}},{"schema:description":"","schema:name":"proj_BiomassWEB.png","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":88,"@id":"doi:10.60507/FK2/EPR96Z/Z13JJK","schema:sameAs":"https://bonndata.uni-bonn.de/catalog/downloads/1738/proj_BiomassWEB.png","@type":"ore:AggregatedResource","schema:fileFormat":"image/png","dvcore:filesize":8538,"dvcore:storageIdentifier":"file://18aa7825410-dfc0d73e8fb0","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"e9c4a0d8be3dd540418d726da628a877"}},{"schema:description":"","schema:name":"type_datasets.png","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":88,"@id":"doi:10.60507/FK2/EPR96Z/M89T5D","schema:sameAs":"https://bonndata.uni-bonn.de/catalog/downloads/1739/type_datasets.png","@type":"ore:AggregatedResource","schema:fileFormat":"image/png","dvcore:filesize":7086,"dvcore:storageIdentifier":"file://18aa7825aa5-aa844139aad9","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"5414abd839cc504aac2dbdc5aeec35d0"}}],"schema:hasPart":["doi:10.60507/FK2/EPR96Z/P9SUKX","doi:10.60507/FK2/EPR96Z/X6PVDZ","doi:10.60507/FK2/EPR96Z/Z13JJK","doi:10.60507/FK2/EPR96Z/M89T5D"]},"@context":{"author":"http://purl.org/dc/terms/creator","citation":"https://dataverse.org/schema/citation/","dcterms":"http://purl.org/dc/terms/","dvcore":"https://dataverse.org/schema/core#","geospatial":"https://bonndata.uni-bonn.de/schema/geospatial#","language":"http://purl.org/dc/terms/language","ore":"http://www.openarchives.org/ore/terms/","otherReferences":"http://purl.org/dc/terms/references","schema":"http://schema.org/","subject":"http://purl.org/dc/terms/subject","subjectRefinementValue":"http://purl.org/dc/terms/subject","title":"http://purl.org/dc/terms/title"}}