{"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/FLJLMC","ore:describes":{"geospatial:geographicCoverage":[{"geospatial:country":"Nicaragua","geospatial:state":"Matagalpa","geospatial:city":"El Tuma La Dalia"},{"geospatial:country":"Colombia","geospatial:state":"Cauca","geospatial:city":"Cerrillos"}],"citation:keyword":[{"citation:keywordValue":"Climate-smart villages"},{"citation:keywordValue":"Agronomic practices","citation:keywordVocabulary":"AGROVOC","citation:keywordVocabularyURI":"http://aims.fao.org/aos/agrovoc/c_330610"},{"citation:keywordValue":"Soils","citation:keywordVocabulary":"CIAT Research Area"},{"citation:keywordValue":"Latin America and the Caribbean","citation:keywordVocabulary":"CIAT Region"}],"citation:dateOfCollection":{"citation:dateOfCollectionStart":"2016-09-13","citation:dateOfCollectionEnd":"2016-10-13"},"citation:datasetContact":{"citation:datasetContactName":"CIAT Data and Research Methods","citation:datasetContactAffiliation":"International Center for Tropical Agriculture - CIAT","citation:datasetContactEmail":"CIAT-DM@CGIAR.ORG"},"citation:distributor":{"citation:distributorName":"International Center for Tropical Agriculture","citation:distributorAbbreviation":"CIAT","citation:distributorURL":"http://ciat.cgiar.org/","citation:distributorLogoURL":"http://ciat-library.ciat.cgiar.org/dm_images/CIAT-Logo-255x128.png"},"timePeriodCovered":{"citation:timePeriodCoveredStart":"2016","citation:timePeriodCoveredEnd":"2016"},"grantNumber":{"citation:grantNumberAgency":"CGIAR Research Program on Climate Change, Agriculture and Food Security - CCAFS"},"author":{"citation:authorName":"Latin America Greenhouse Gas Mitigation Network (LAMNET)","citation:authorAffiliation":"CCAFS"},"citation:dsDescription":{"citation:dsDescriptionValue":"The summary includes data collected from surveys conducted made in the Climate Smart Villages (CSVs) of Cauca-Colombia and El Tuma La Dalia-Nicaragua. The data includes parameters related to soils, cropping systems, land use, land-use changes and livestock in these both villages. The data was them used in Carbon calculator (Cool Farm Tool) to quantify the GHG mitigation potential of previous and current practices."},"citation:topicClassification":{"citation:topicClassValue":"Climate-smart agriculture","citation:topicClassVocab":"AGROVOC","citation:topicClassVocabURI":"http://aims.fao.org/aos/agrovoc/c_1361789093890"},"citation:producer":{"citation:producerName":"Latin America Greenhouse Gas Mitigation Network","citation:producerAbbreviation":"LAMNET"},"title":"Summary survey Climate Smart Villages (CSVs) in Cauca Colombia and El Tuma La Dalia-Nicaragua","citation:productionDate":"2016","subject":"Earth and Environmental Sciences","citation:depositor":"Garcia, Carolina","dateOfDeposit":"2017-02-13","kindOfData":["Survey Data","Soil Data"],"@id":"https://doi.org/10.7910/DVN/FLJLMC","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.6","schema:name":"Summary survey Climate Smart Villages (CSVs) in Cauca Colombia and El Tuma La Dalia-Nicaragua","schema:dateModified":"Mon Jul 08 16:00:20 UTC 2019","schema:datePublished":"2017-02-14","schema:creativeWorkStatus":"RELEASED","dvcore:termsOfUse":"<P><a rel=\"license\" href=\"http://creativecommons.org/licenses/by/4.0/\" target=\"_blank\"><img alt=\"Creative Commons License\" style=\"border-width:0\" src=\"https://i.creativecommons.org/l/by/4.0/88x31.png\" /></a><br />\r\nThese data and documents are licensed under a <a href=\"http://creativecommons.org/licenses/by/4.0/\" target=\"_blank\"> Creative Commons Attribution 4.0 International license.</a> You may copy, distribute and transmit the data as long as you acknowledge the source through proper <a href=\"http://best-practices.dataverse.org/data-citation/\" target=\"_blank\">data citation</a>.</P>\r\n<Strong>Disclaimer</Strong>\r\n<P>\r\nWhilst utmost care has been taken by CIAT and data authors while collecting and compiling the data, the data is however offered \"as is\" with no express or implied warranty. In no event shall the data authors, CIAT, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data.\r\n<BR/><BR/>\r\nBy using the CIAT Dataverse, the user expressly acknowledges that the Data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. \r\n<BR/><BR/>\r\nThe user should always verify actual data; therefore the user bears all responsibility in determining whether the data is fit for the user’s intended use.  The user of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the metadata section of the Dataverse study.\r\n</P>","dvcore:disclaimer":"Whilst utmost care has been taken by CIAT and data authors while collecting and compiling the data, the data is however offered \"as is\" with no express or implied warranty. In no event shall the data authors, CIAT, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data.\r\n<BR/><BR/>\r\nBy using the CIAT Dataverse, the user expressly acknowledges that the Data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. \r\n<BR/><BR/>\r\nThe user should always verify actual data; therefore the user bears all responsibility in determining whether the data is fit for the user’s intended use.  The user of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the metadata section of the Dataverse study.","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":false},"schema:includedInDataCatalog":"Harvard Dataverse","schema:isPartOf":{"schema:name":"CIAT - International Center for Tropical Agriculture Dataverse","@id":"https://dataverse.harvard.edu/dataverse/CIAT","schema:description":"<a href=\"http://ciat.cgiar.org\" target=\"_blank\">The International Center for Tropical Agriculture</a> (CIAT), a member of the <a href=\"http://www.cgiar.org/\" target=\"_blank\">CGIAR</a> Consortium, believes that open access contributes to its mission of reducing hunger and poverty, and improving human nutrition in the tropics through research aimed at increasing the eco-efficiency of agriculture.  Research data produced by CIAT and its Partners is distributed freely whenever possible. Kindly note that these datasets require proper citation and citation information is included with the metadata for each dataset. Please use email button above to contact the CIAT Data, Information, Knowledge Group for questions about CIAT Data.\r\n<br/>","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. Find and cite data across all research fields.</h3></span></span></span>"}},"ore:aggregates":[{"schema:description":"Document detailing the variables used","schema:name":"01.DICTONARY.xls","dvcore:restricted":false,"schema:version":2,"dvcore:datasetVersionId":163704,"dvcore:categories":["Documentation"],"@id":"doi:10.7910/DVN/FLJLMC/ZP7E0B","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/:persistentId?persistentId=doi:10.7910/DVN/FLJLMC/ZP7E0B","@type":"ore:AggregatedResource","schema:fileFormat":"application/vnd.ms-excel","dvcore:filesize":45568,"dvcore:storageIdentifier":"s3://dvn-cloud:15a3f50db3c-eb2a286eac46","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"e957c2c5f66efb70d48123df97e00600"}},{"schema:description":"Summary survey Climate Smart Villages (CSVs) in Cauca Colombia and El Tuma La Dalia-Nicaragua","schema:name":"02.SURVEY.xls","dvcore:restricted":false,"schema:version":2,"dvcore:datasetVersionId":163704,"dvcore:categories":["Data"],"@id":"doi:10.7910/DVN/FLJLMC/CHWQCM","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/:persistentId?persistentId=doi:10.7910/DVN/FLJLMC/CHWQCM","@type":"ore:AggregatedResource","schema:fileFormat":"application/vnd.ms-excel","dvcore:filesize":107008,"dvcore:storageIdentifier":"s3://dvn-cloud:15a3f52bae4-eaeb050caf13","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"18c9996bbaddb9f3c8bc0c2341040af8"}}],"schema:hasPart":["doi:10.7910/DVN/FLJLMC/ZP7E0B","doi:10.7910/DVN/FLJLMC/CHWQCM"]},"@context":{"author":"http://purl.org/dc/terms/creator","citation":"https://dataverse.org/schema/citation/","dateOfDeposit":"http://purl.org/dc/terms/dateSubmitted","dcterms":"http://purl.org/dc/terms/","dvcore":"https://dataverse.org/schema/core#","geospatial":"https://dataverse.harvard.edu/schema/geospatial#","grantNumber":"https://schema.org/sponsor","kindOfData":"http://rdf-vocabulary.ddialliance.org/discovery#kindOfData","ore":"http://www.openarchives.org/ore/terms/","schema":"http://schema.org/","subject":"http://purl.org/dc/terms/subject","timePeriodCovered":"https://schema.org/temporalCoverage","title":"http://purl.org/dc/terms/title"}}