{"dcterms:modified":"2025-04-01","dcterms:creator":"Harvard Dataverse","@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://dataverse.harvard.edu/api/datasets/export?exporter=OAI_ORE&persistentId=https://doi.org/10.7910/DVN/KLPHCG","ore:describes":{"grantNumber":{"citation:grantNumberAgency":"United States Agency for International Development (USAID)"},"citation:datasetContact":{"citation:datasetContactName":"Kihara, Job","citation:datasetContactAffiliation":"International Center for Tropical Agriculture (CIAT)","citation:datasetContactEmail":"j.kihara@cgiar.org"},"citation:topicClassification":{"citation:topicClassValue":"Agricultural research","citation:topicClassVocab":"AGROVOC","citation:topicClassVocabURI":"http://aims.fao.org/aos/agrovoc/c_8679"},"contributor":[{"citation:contributorType":"Project Leader","citation:contributorName":"Kihara, Job (International Center for Tropical Agriculture (CIAT))"},{"citation:contributorType":"Researcher","citation:contributorName":"Winowiecki, Leigh (World Agroforestry Center (ICRAF))"},{"citation:contributorType":"Researcher","citation:contributorName":"Masawe, P. (Selian Agricultural Research Institute (SARI))"},{"citation:contributorType":"Funder","citation:contributorName":"United States Agency for International Development (USAID)"}],"citation:keyword":[{"citation:keywordValue":"soil analysis","citation:keywordVocabulary":"AGROVOC","citation:keywordVocabularyURI":"http://aims.fao.org/aos/agrovoc/c_7198"},{"citation:keywordValue":"TANZANIA","citation:keywordVocabulary":"AGROVOC","citation:keywordVocabularyURI":"http://aims.fao.org/aos/agrovoc/c_7608"},{"citation:keywordValue":"EAST AFRICA","citation:keywordVocabulary":"AGROVOC","citation:keywordVocabularyURI":"http://aims.fao.org/aos/agrovoc/c_2442"},{"citation:keywordValue":"AFRICA SOUTH OF SAHARA","citation:keywordVocabulary":"AGROVOC","citation:keywordVocabularyURI":"http://aims.fao.org/aos/agrovoc/c_166"},{"citation:keywordValue":"AFRICA","citation:keywordVocabulary":"AGROVOC","citation:keywordVocabularyURI":"http://aims.fao.org/aos/agrovoc/c_165"}],"citation:distributor":{"citation:distributorName":"International Food Policy Research Institute (IFPRI)","citation:distributorURL":"http://www.ifpri.org","citation:distributorLogoURL":"https://www.ifpri.org/sites/all/themes/custom/serenity/logo.png"},"citation:series":{"citation:seriesName":"Biophysical Surveys"},"author":[{"citation:authorName":"International Center for Tropical Agriculture (CIAT)"},{"citation:authorName":"Selian Agricultural Research Institute (SARI)"}],"citation:dsDescription":{"citation:dsDescriptionValue":"<p>The Land Degradation Surveillance Framework (LDSF) used by AfSIS was employed to conduct a systematic biophysical assessment of various ecological and soil health metrics. The LDSF was based on a hierarchical spatially stratified, random sampling approach consisting of 100 km2 sentinel landscapes, which were statistically representative of the variability in climate, topography, and vegetation of the study area under consideration. To predict soil properties for areas where samples were not collected, relatively large number of samples from representative locations were taken. To overcome the huge cost of analyzing large soil samples using conventional laboratory techniques, near and mid-infrared spectroscopy approaches were used. </p>\r\n\r\n<p><h4>About the project </h4></p>\r\n<p><b>Project title: Identification of the Key Biophysical Production Constraints to Crops and Livestock at Farm and Landscape Levels</b></p>\r\n<p><b> Project abstract </b></p>\r\n<p>The project undertakes soil survey to characterize 2 sentinel sites (Long and Matufa); and agronomic survey to estimate farmers' actual yield.</p>\r\n<p><b>Project website</b>:  <http://africa-rising.net/</a></p>\r\n<p> <b>Project start date</b>: 01/11/2012 </p>\r\n<p><b> Project end date </b>: 01/10/2013 </p"},"geospatial:geographicCoverage":{"geospatial:country":"Tanzania, United Republic of"},"citation:dateOfCollection":{"citation:dateOfCollectionStart":"2014-03-01","citation:dateOfCollectionEnd":"2014-06-30"},"citation:producer":[{"citation:producerName":"International Center for Tropical Agriculture (CIAT)","citation:producerURL":"http://www.ifpri.orghttps://ciat.cgiar.org/","citation:producerLogoURL":"https://ciat.cgiar.org/wp-content/uploads/ciat-icon-48.png"},{"citation:producerName":"Selian Agricultural Research Institute (SARI)"}],"software":{"citation:softwareName":"Microsoft Excel","citation:softwareVersion":"2016"},"dateOfDeposit":"2017-08-01","title":"Soil Survey to Characterize 2 Sentinel Sites (CIAT)","subject":["Social Sciences","Agricultural Sciences"],"citation:depositor":"IFPRI-KM","citation:productionDate":"2015-07-12","citation:distributionDate":"2015-12-07","language":"English","kindOfData":"Agronomy data","@id":"https://doi.org/10.7910/DVN/KLPHCG","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.1","schema:name":"Soil Survey to Characterize 2 Sentinel Sites (CIAT)","schema:dateModified":"Wed Apr 10 11:57:52 UTC 2019","schema:datePublished":"2017-08-30","schema:creativeWorkStatus":"RELEASED","dvcore:termsOfUse":"<h3> IFPRI  DATAVERSE TERMS OF USE </h3> \r\nBy using this website and any of the materials made available through it, you agree to abide by the Terms of Use of IFPRI Dataverse. The datasets and documents in this study are licensed under <a rel=\"license\" href=\"http://creativecommons.org/licenses/by/4.0/\">Creative Commons Attribution 4.0 International License.</a><br />\r\n <a rel=\"license\" href=\"http://creativecommons.org/licenses/by/4.0/\"><img alt=\"Creative Commons License\" style=\"border-width:0\" src=\"https://i.creativecommons.org/l/by/4.0/88x31.png\" /></a>","dvcore:citationRequirements":"Kihara J. 2013. Soil survey to characterize 2 sentinel sites Babati, Northern Tanzania. CIAT, Nairobi Kenya.","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":false},"schema:includedInDataCatalog":"Harvard Dataverse","schema:isPartOf":{"schema:name":"Africa RISING Dataverse","@id":"https://dataverse.harvard.edu/dataverse/AfricaRISING","schema:description":"<strong><b><blockquote>IMPORTANT: If you are interested in accessing restricted datasets, kindly fill out this <a href=\"https://goo.gl/forms/muJtiDnuwhfAftQ83\"> data user agreement form</a>. <br>\r\nDo not request access through individual datasets as those requests are not being monitored.</b></blockquote></strong>\r\n<br>\r\n<br>\r\nAfrica Research in Sustainable Intensification for the Next Generation (Africa RISING): As part of the US government’s Feed the Future initiative to address global hunger and food security issues in Africa south of the Sahara, the US Agency for International Development (USAID) is supporting three multi-stakeholder agricultural research projects to sustainably intensify key African farming systems. The overall aim is to transform agricultural systems through sustainable intensification projects in <a href=\"https://africa-rising.wikispaces.com/west_africa\">West Africa</a> and <a href=\"https://africa-rising.wikispaces.com/east_southern_africa\">East and Southern Africa</a>, led by the International Institute of Tropical Agriculture (IITA) and in <a href=\"https://africa-rising.wikispaces.com/ethiopia_highlands\">Ethiopian Highlands</a>, led by the International Livestock Research Institute (ILRI). The International Food Policy Research Institute leads the program’s <a href=\"http://africa-rising.wikispaces.com/program_moneval\">monitoring, evaluation and impact assessment</a>.","schema:isPartOf":{"schema:name":"IFPRI Dataverse","@id":"https://dataverse.harvard.edu/dataverse/IFPRI","schema:description":"<p>The <a href= \"https://www.ifpri.org/\">International Food Policy Research Institute (IFPRI)</a> views the products of its research, including\nresearch datasets, as global public goods, and is committed to enabling their widespread distribution\nand use. </p>\n<p> This is in keeping with the <a href=\"https://www.ifpri.org/cdmref/p15738coll2/id/133308/filename/133517.pdf\">IFPRI Research Data\nManagement and Open Access (RDMOA) Policy</a> and the <a href=\"https://cgspace.cgiar.org/bitstream/handle/10947/4488/Open%20Access%20Data%20Management%20Policy.pdf?sequence=1&amp;isAllowed=y\">CGIAR Open Access and Data Management\nPolicy</a>.</p>\n<p>The IFPRI Dataverse comprises datasets collected during the course of IFPRI research. These datasets include tables in various standard formats, survey instruments, codebooks, metadata, and other associated documentation. The <a href=\"https://www.ifpri.org/cdmref/p15738coll2/id/133521/filename/133732.pdf\">Terms of Use</a> require proper attribution of these datasets to IFPRI and any named authors. </p>\n\n<p> Please direct questions about IFPRI datasets to  <a href=\"mailto:IFPRI-Data@cgiar.org\"> IFPRI-Data</a> or <a href=\"mailto:IFPRI-Library@cgiar.org\">IFPRI-Library</a>. For information on the latest resources and news on research data management, please visit <a href=\"http://rdm.ifpri.info/\">IFPRI’s Research Data</a> website. </p>","schema:isPartOf":{"schema:name":"Harvard Dataverse","@id":"https://dataverse.harvard.edu/dataverse/harvard","schema:description":"<span><span><span><h3>Share, archive, and get credit for your data. 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