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For this, it is necessary to carry out a characterization of zones based on these specific ones per crop, which are part of evaluating when crops are exposed to heat stress."},"citation:productionDate":"2022-06-30","citation:distributionDate":"2023-01-31","kindOfData":["Climate Date","Geospatial Data"],"relatedDatasets":"<P>Mora, Brayan, 2023, \"South America, Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool), for the following crops: Bean, cassava, banana, wheat, maize, potato, sweet potato, rice, barley, sorghum, pearl millet, cowpea, yam, soybean\", <a rel=\"https://doi.org/10.7910/DVN/AQGOI7\" target=\"_blank\">\nhttps://doi.org/10.7910/DVN/AQGOI7</a>, Harvard Dataverse.<br />\nMora, Brayan, 2023, \"Asia, Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool), for the following crops: Bean, cassava, banana, wheat, maize, potato, sweet potato, rice, barley, sorghum, pearl millet, cowpea, yam, soybean\", <a rel=\"https://doi.org/10.7910/DVN/8FB13P\" target=\"_blank\">\nhttps://doi.org/10.7910/DVN/8FB13P</a>, Harvard Dataverse.<br />\nMora, Brayan, 2023, \"Europe, Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool), for the following crops: Bean, cassava, banana, wheat, maize, potato, sweet potato, rice, barley, sorghum, pearl millet, cowpea, yam, soybean\", <a rel=\"https://doi.org/10.7910/DVN/YQULMX\" target=\"_blank\">\nhttps://doi.org/10.7910/DVN/YQULMX</a>, Harvard Dataverse.<br />\nMora, Brayan, 2023, \"Africa, Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool), for the following crops: Bean, cassava, banana, wheat, maize, potato, sweet potato, rice, barley, sorghum, pearl millet, cowpea, yam, soybean\", <a rel=\"https://doi.org/10.7910/DVN/LI5D3A\" target=\"_blank\">\nhttps://doi.org/10.7910/DVN/LI5D3A\"</a>, Harvard Dataverse.<br />\nMora, Brayan, 2023, \"North America, Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool), for the following crops: Bean, cassava, banana, wheat, maize, potato, sweet potato, rice, barley, sorghum, pearl millet, cowpea, yam, soybean\", <a rel=\"https://doi.org/10.7910/DVN/TV4XEC\" target=\"_blank\">\nhttps://doi.org/10.7910/DVN/TV4XEC</a>, Harvard Dataverse.<br />\n</p>","citation:notesText":"Methodology:\nTo carry out the calculation of these agroclimatic indicators, daily data of the following climatic variables were used at a resolution of 5 km: Maximum and minimum temperatures (source: CHIRTS). The indicators were calculated for each month during a period of 33 years (1983 - 2016). With the above, the indicators were calculated per month during 1983 -2016 and finally, in order to summarize the calculated indicators, an aggregation of data was carried out, calculating the average in the following time periods: 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 – 2016, 2005 – 2016, 2010 – 2016.","language":"English","title":"Oceania, ​​Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool), for the following crops: Bean, cassava, banana, wheat, maize, potato, sweet potato, rice, barley, sorghum, pearl millet, cowpea, yam, soybean","dateOfDeposit":"2022-11-30","citation:depositor":"Castaño, Silvia-Elena","subject":["Earth and Environmental Sciences","Agricultural Sciences"],"@id":"https://doi.org/10.7910/DVN/QSTFLU","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.2","schema:name":"Oceania, ​​Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool), for the following crops: Bean, cassava, banana, wheat, maize, potato, sweet potato, rice, barley, sorghum, pearl millet, cowpea, yam, soybean","schema:dateModified":"2024-01-31 06:59:34.506","schema:datePublished":"2023-02-01","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 />\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>","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":false},"schema:includedInDataCatalog":"Harvard Dataverse","schema:isPartOf":{"schema:name":"The Alliance of Bioversity International and CIAT Dataverse","@id":"https://dataverse.harvard.edu/dataverse/AllianceBioversityCIAT","schema:description":"<strong><a href=\"https://www.bioversityinternational.org/alliance/\" style=\"color:#428BCA;\">The Alliance of Bioversity International and CIAT</a></strong>\r\n<P>\r\nToday’s global challenges of poverty, malnutrition, climate change, land degradation, and biodiversity loss call for new research, solutions, innovations, and stronger partnerships that can deliver higher impact. To respond to these challenges, and building on their complementary mandates and long collaboration, Bioversity International and the International Center for Tropical Agriculture (CIAT) have joined forces to create an Alliance.\r\n</P>\r\n\r\n<P>The Alliance <a href=\"https://cgspace.cgiar.org/handle/10568/106098\" target=\"_blank\" rel=\"noopener\"> delivers research-based solutions </a>that harness agricultural biodiversity and sustainably transform food systems to improve people’s lives.\r\n</P>\r\n<P>\r\nTo do so, the Alliance works with local, national and multinational partners across Latin America and the Caribbean, Asia and Africa, and with the public and private sectors. With partners, the Alliance generates evidence and mainstreams innovations in large-scale programmes to create food systems and landscapes that sustain the planet, drive prosperity and nourish people.\r\n</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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","schema:name":"12 Oceania-ind_per_crop-soybean.zip","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":340862,"dvcore:categories":["Data"],"@id":"https://dataverse.harvard.edu/file.xhtml?fileId=6905288","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/6905288","@type":"ore:AggregatedResource","schema:fileFormat":"application/zip","dvcore:filesize":298968526,"dvcore:storageIdentifier":"s3://dvn-cloud:185e8ff44fa-97ab0b30f948","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"f7a782efa8605401c50ec8d9d0778259"}},{"schema:description":"Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 15.5 degrees celsius, for each year. \nMultiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 35 degrees celsius, for each year. \nMultiannual average  of the Number of days per month, in which the average temperature oscillates between the  20 and 32 degrees celsius, for each year.","schema:name":"13 Oceania-ind_per_crop-sweet_potato.zip","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":340862,"dvcore:categories":["Data"],"@id":"https://dataverse.harvard.edu/file.xhtml?fileId=6905290","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/6905290","@type":"ore:AggregatedResource","schema:fileFormat":"application/zip","dvcore:filesize":303931520,"dvcore:storageIdentifier":"s3://dvn-cloud:185e900d696-24cf73d87de1","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"94069c38935c6afbfaf360a5a79cf749"}},{"schema:description":"Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 10 degrees celsius, for each year.\nMultiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 32 degrees celsius, for each year.\nMultiannual average  of the Number of days per month, in which the average temperature oscillates between the  18 and 25 degrees celsius, for each year. 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Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.month, in which the maximum temperature exceeds the 35 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days per month, in which the average temperature oscillates between the  24 and 27 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.","schema:name":"16 Oceania-banana-crop-aggregate.zip","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":340862,"dvcore:categories":["Data"],"@id":"https://dataverse.harvard.edu/file.xhtml?fileId=6905250","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/6905250","@type":"ore:AggregatedResource","schema:fileFormat":"application/zip","dvcore:filesize":42496121,"dvcore:storageIdentifier":"s3://dvn-cloud:185e8e890e2-3700a12764ee","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"2de04044783fbf6d530828e94f6edf07"}},{"schema:description":"Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 3 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 36 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days per month, in which the average temperature oscillates between the  18 and 24 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.","schema:name":"17 Oceania-barley-crop-aggregate.zip","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":340862,"dvcore:categories":["Data"],"@id":"https://dataverse.harvard.edu/file.xhtml?fileId=6905261","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/6905261","@type":"ore:AggregatedResource","schema:fileFormat":"application/zip","dvcore:filesize":42250958,"dvcore:storageIdentifier":"s3://dvn-cloud:185e8e97945-9b68a8c3d0f2","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"59ab045bf7be313e57d3c76279331445"}},{"schema:description":"Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 13.5 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 25.6 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days per month, in which the average temperature oscillates between the  17.5 and 23.1 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.","schema:name":"18 Oceania-bean-crop-aggregate.zip","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":340862,"dvcore:categories":["Data"],"@id":"https://dataverse.harvard.edu/file.xhtml?fileId=6905262","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/6905262","@type":"ore:AggregatedResource","schema:fileFormat":"application/zip","dvcore:filesize":47779895,"dvcore:storageIdentifier":"s3://dvn-cloud:185e8e9ca28-4455b89b0722","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"84f7d117415f42d0f0a4e5f27e302a62"}},{"schema:description":"Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 15 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 45 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days per month, in which the average temperature oscillates between the  22 and 32 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.","schema:name":"19 oceania-cassava-crop-aggregate.zip","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":340862,"dvcore:categories":["Data"],"@id":"https://dataverse.harvard.edu/file.xhtml?fileId=6905258","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/6905258","@type":"ore:AggregatedResource","schema:fileFormat":"application/zip","dvcore:filesize":40995772,"dvcore:storageIdentifier":"s3://dvn-cloud:185e8ea1aa4-cc699c549bd7","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"19d2718161691d2c0fac5d6a8fb5e5fc"}},{"schema:description":"Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 15 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 50 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days per month, in which the average temperature oscillates between the  20 and 35 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.","schema:name":"20 Oceania-cowpea-crop-aggregate.zip","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":340862,"dvcore:categories":["Data"],"@id":"https://dataverse.harvard.edu/file.xhtml?fileId=6905265","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/6905265","@type":"ore:AggregatedResource","schema:fileFormat":"application/zip","dvcore:filesize":37934134,"dvcore:storageIdentifier":"s3://dvn-cloud:185e8ea5f49-4c44a40d6108","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"a393dc81c7745f36af7bbc46d586331f"}},{"schema:description":"Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 15 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 28 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days per month, in which the average temperature oscillates between the  28 and 29 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.","schema:name":"21 Oceania-maize-crop-aggregate.zip","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":340862,"dvcore:categories":["Data"],"@id":"https://dataverse.harvard.edu/file.xhtml?fileId=6905254","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/6905254","@type":"ore:AggregatedResource","schema:fileFormat":"application/zip","dvcore:filesize":41805878,"dvcore:storageIdentifier":"s3://dvn-cloud:185e8eaad1a-1616b39be1d0","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"00ec5a94ebd1227a6f940f37495c5797"}},{"schema:description":"Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 13.3 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 50 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days per month, in which the average temperature oscillates between the  12.4 and 17.8 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.","schema:name":"22 Oceania-pearl_millet-crop-aggregate.zip","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":340862,"dvcore:categories":["Data"],"@id":"https://dataverse.harvard.edu/file.xhtml?fileId=6905263","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/6905263","@type":"ore:AggregatedResource","schema:fileFormat":"application/zip","dvcore:filesize":38048327,"dvcore:storageIdentifier":"s3://dvn-cloud:185e8eaf0af-b2f11d35788f","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"0ea6a1dae015e5be50ed7ac9ce29bdf4"}},{"schema:description":"Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 4 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 24 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days per month, in which the average temperature oscillates between the  12.4 and 17.8 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.","schema:name":"23 Oceania-potato-crop-aggregate.zip","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":340862,"dvcore:categories":["Data"],"@id":"https://dataverse.harvard.edu/file.xhtml?fileId=6905264","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/6905264","@type":"ore:AggregatedResource","schema:fileFormat":"application/zip","dvcore:filesize":43171807,"dvcore:storageIdentifier":"s3://dvn-cloud:185e8eb3d9a-441aea69ff9a","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"681d73cfc4d8f27195d048fe3a69e877"}},{"schema:description":"Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 13 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 40 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days per month, in which the average temperature oscillates between the  20 and 35 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.","schema:name":"24 Oceania-rice-crop-aggregate.zip","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":340862,"dvcore:categories":["Data"],"@id":"https://dataverse.harvard.edu/file.xhtml?fileId=6905255","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/6905255","@type":"ore:AggregatedResource","schema:fileFormat":"application/zip","dvcore:filesize":40082343,"dvcore:storageIdentifier":"s3://dvn-cloud:185e8eb83be-d0616d475c1c","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"55d2fb2b97e7ce46cbe23be2ff985b50"}},{"schema:description":"Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 17.8 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 39.1 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days per month, in which the average temperature oscillates between the  26.7 and 37.4 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.","schema:name":"25 Oceania-sorghum-crop-aggregate.zip","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":340862,"dvcore:categories":["Data"],"@id":"https://dataverse.harvard.edu/file.xhtml?fileId=6905260","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/6905260","@type":"ore:AggregatedResource","schema:fileFormat":"application/zip","dvcore:filesize":40941361,"dvcore:storageIdentifier":"s3://dvn-cloud:185e8ebc47f-b9caf12804bd","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"fb164b315b3d027ccd1ca5fd625610eb"}},{"schema:description":"Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 14 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 37 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days per month, in which the average temperature oscillates between the  25 and 28 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.","schema:name":"26 Oceania-soybean-crop-aggregate.zip","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":340862,"dvcore:categories":["Data"],"@id":"https://dataverse.harvard.edu/file.xhtml?fileId=6905257","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/6905257","@type":"ore:AggregatedResource","schema:fileFormat":"application/zip","dvcore:filesize":43635153,"dvcore:storageIdentifier":"s3://dvn-cloud:185e8ec0b39-f735cb665aed","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"7c8cd38d7504faa179451eaf882bb51b"}},{"schema:description":"Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 15.5 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 35 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days per month, in which the average temperature oscillates between the  20 and 32 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.","schema:name":"27 Oceania-sweet_potato-crop-aggregate.zip","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":340862,"dvcore:categories":["Data"],"@id":"https://dataverse.harvard.edu/file.xhtml?fileId=6905259","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/6905259","@type":"ore:AggregatedResource","schema:fileFormat":"application/zip","dvcore:filesize":43752530,"dvcore:storageIdentifier":"s3://dvn-cloud:185e8ec50be-a4b89afdb752","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"3da007ba8456a73a7ce9af63ac5e1df2"}},{"schema:description":"Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 10 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 32 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days per month, in which the average temperature oscillates between the  18 and 25 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.","schema:name":"28 Oceania-whea-crop-aggregate.zip","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":340862,"dvcore:categories":["Data"],"@id":"https://dataverse.harvard.edu/file.xhtml?fileId=6905256","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/6905256","@type":"ore:AggregatedResource","schema:fileFormat":"application/zip","dvcore:filesize":46312842,"dvcore:storageIdentifier":"s3://dvn-cloud:185e8ec99ec-eed5ebf9f983","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"3756958b1e0d5c0f3748cc39138e36b6"}},{"schema:description":"Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 20 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 40 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.\nMultiannual average  of the Number of days per month, in which the average temperature oscillates between the  25 and 34 degrees celsius, for each year. 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