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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."}}]},{"typeName":"subject","multiple":true,"typeClass":"controlledVocabulary","value":["Agricultural Sciences","Earth and Environmental 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temperature"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"precipitation"},"keywordVocabulary":{"typeName":"keywordVocabulary","multiple":false,"typeClass":"primitive","value":"AGROVOC"},"keywordVocabularyURI":{"typeName":"keywordVocabularyURI","multiple":false,"typeClass":"primitive","value":"http://aims.fao.org/aos/agrovoc/c_6161"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"raster"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"solar radiation"},"keywordVocabulary":{"typeName":"keywordVocabulary","multiple":false,"typeClass":"primitive","value":"AGROVOC"},"keywordVocabularyURI":{"typeName":"keywordVocabularyURI","multiple":false,"typeClass":"primitive","value":"http://aims.fao.org/aos/agrovoc/c_14415"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"evapotranspiration"},"keywordVocabulary":{"typeName":"keywordVocabulary","multiple":false,"typeClass":"primitive","value":"AGROVOC"},"keywordVocabularyURI":{"typeName":"keywordVocabularyURI","multiple":false,"typeClass":"primitive","value":"http://aims.fao.org/aos/agrovoc/c_2741"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"waterlogging"},"keywordVocabulary":{"typeName":"keywordVocabulary","multiple":false,"typeClass":"primitive","value":"AGROVOC"},"keywordVocabularyURI":{"typeName":"keywordVocabularyURI","multiple":false,"typeClass":"primitive","value":"http://aims.fao.org/aos/agrovoc/c_2741"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Oceania"},"keywordVocabulary":{"typeName":"keywordVocabulary","multiple":false,"typeClass":"primitive","value":"AGROVOC"},"keywordVocabularyURI":{"typeName":"keywordVocabularyURI","multiple":false,"typeClass":"primitive","value":"http://aims.fao.org/aos/agrovoc/c_5296"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Latin America and the Caribbean"},"keywordVocabulary":{"typeName":"keywordVocabulary","multiple":false,"typeClass":"primitive","value":"Research Region"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Climate Action"},"keywordVocabulary":{"typeName":"keywordVocabulary","multiple":false,"typeClass":"primitive","value":"Research Lever"}}]},{"typeName":"topicClassification","multiple":true,"typeClass":"compound","value":[{"topicClassValue":{"typeName":"topicClassValue","multiple":false,"typeClass":"primitive","value":"climatic data"},"topicClassVocab":{"typeName":"topicClassVocab","multiple":false,"typeClass":"primitive","value":"AGROVOC"},"topicClassVocabURI":{"typeName":"topicClassVocabURI","multiple":false,"typeClass":"primitive","value":"http://aims.fao.org/aos/agrovoc/c_29553"}}]},{"typeName":"notesText","multiple":false,"typeClass":"primitive","value":"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."},{"typeName":"language","multiple":true,"typeClass":"controlledVocabulary","value":["English"]},{"typeName":"producer","multiple":true,"typeClass":"compound","value":[{"producerName":{"typeName":"producerName","multiple":false,"typeClass":"primitive","value":"Bioversity International and the International Center for Tropical Agriculture"},"producerAffiliation":{"typeName":"producerAffiliation","multiple":false,"typeClass":"primitive","value":"Bioversity International and the International Center for Tropical Agriculture"},"producerURL":{"typeName":"producerURL","multiple":false,"typeClass":"primitive","value":"https://alliancebioversityciat.org/"}},{"producerName":{"typeName":"producerName","multiple":false,"typeClass":"primitive","value":"International Center for Agricultural Research in the Dry Areas (ICARDA)"},"producerAffiliation":{"typeName":"producerAffiliation","multiple":false,"typeClass":"primitive","value":"International Center for Agricultural Research in the Dry Areas (ICARDA)"},"producerAbbreviation":{"typeName":"producerAbbreviation","multiple":false,"typeClass":"primitive","value":"ICARDA"},"producerURL":{"typeName":"producerURL","multiple":false,"typeClass":"primitive","value":"https://www.icarda.org/"}}]},{"typeName":"productionDate","multiple":false,"typeClass":"primitive","value":"2022-06-30"},{"typeName":"contributor","multiple":true,"typeClass":"compound","value":[{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Project Manager"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"Ramirez, Julian"}},{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Project Manager"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"Kehel, Zakaria"}},{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Researcher"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"Sotelo, Steven"}},{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Researcher"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"Hernandez, Victor"}},{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Researcher"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"Garcia, Juan-Camilo"}}]},{"typeName":"grantNumber","multiple":true,"typeClass":"compound","value":[{"grantNumberAgency":{"typeName":"grantNumberAgency","multiple":false,"typeClass":"primitive","value":"​​​ ​Global Crop Trust​​​"}}]},{"typeName":"distributor","multiple":true,"typeClass":"compound","value":[{"distributorName":{"typeName":"distributorName","multiple":false,"typeClass":"primitive","value":"Bioversity International and the International Center for Tropical Agriculture"},"distributorAffiliation":{"typeName":"distributorAffiliation","multiple":false,"typeClass":"primitive","value":"Bioversity International and the International Center for Tropical Agriculture"},"distributorURL":{"typeName":"distributorURL","multiple":false,"typeClass":"primitive","value":"https://alliancebioversityciat.org/"}},{"distributorName":{"typeName":"distributorName","multiple":false,"typeClass":"primitive","value":"International Center for Agricultural Research in the Dry Areas (ICARDA)"},"distributorURL":{"typeName":"distributorURL","multiple":false,"typeClass":"primitive","value":"https://www.icarda.org/"}}]},{"typeName":"distributionDate","multiple":false,"typeClass":"primitive","value":"2023-01-31"},{"typeName":"depositor","multiple":false,"typeClass":"primitive","value":"Castaño, Silvia-Elena"},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2022-11-30"},{"typeName":"timePeriodCovered","multiple":true,"typeClass":"compound","value":[{"timePeriodCoveredStart":{"typeName":"timePeriodCoveredStart","multiple":false,"typeClass":"primitive","value":"1983-01-01"},"timePeriodCoveredEnd":{"typeName":"timePeriodCoveredEnd","multiple":false,"typeClass":"primitive","value":"2016-12-31"}}]},{"typeName":"dateOfCollection","multiple":true,"typeClass":"compound","value":[{"dateOfCollectionStart":{"typeName":"dateOfCollectionStart","multiple":false,"typeClass":"primitive","value":"2021-01-01"},"dateOfCollectionEnd":{"typeName":"dateOfCollectionEnd","multiple":false,"typeClass":"primitive","value":"2022-06-01"}}]},{"typeName":"kindOfData","multiple":true,"typeClass":"primitive","value":["Climate Date","Geospatial Data"]},{"typeName":"relatedDatasets","multiple":true,"typeClass":"primitive","value":["<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>"]}]},"geospatial":{"displayName":"Geospatial Metadata","name":"geospatial","fields":[{"typeName":"geographicCoverage","multiple":true,"typeClass":"compound","value":[{"otherGeographicCoverage":{"typeName":"otherGeographicCoverage","multiple":false,"typeClass":"primitive","value":"Oceania"}},{"otherGeographicCoverage":{"typeName":"otherGeographicCoverage","multiple":false,"typeClass":"primitive","value":"Global"}}]},{"typeName":"geographicBoundingBox","multiple":true,"typeClass":"compound","value":[{"westLongitude":{"typeName":"westLongitude","multiple":false,"typeClass":"primitive","value":"113.5"},"eastLongitude":{"typeName":"eastLongitude","multiple":false,"typeClass":"primitive","value":"178.49"},"northLatitude":{"typeName":"northLatitude","multiple":false,"typeClass":"primitive","value":"-2.0"},"southLatitude":{"typeName":"southLatitude","multiple":false,"typeClass":"primitive","value":"-47.25"}}]}]}},"files":[{"description":"Dataset files list and description","label":"01 File organization 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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 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. 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Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.","categories":["Data"],"storageIdentifier":"s3://dvn-cloud:185e8e9ca28-4455b89b0722","rootDataFileId":-1,"md5":"84f7d117415f42d0f0a4e5f27e302a62","checksum":{"type":"MD5","value":"84f7d117415f42d0f0a4e5f27e302a62"},"tabularData":false,"creationDate":"2023-01-25","publicationDate":"2023-02-01","fileAccessRequest":false}},{"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.","label":"19 oceania-cassava-crop-aggregate.zip","restricted":false,"version":1,"datasetVersionId":340862,"categories":["Data"],"dataFile":{"id":6905258,"persistentId":"","filename":"19 oceania-cassava-crop-aggregate.zip","contentType":"application/zip","friendlyType":"ZIP Archive","filesize":40995772,"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.","categories":["Data"],"storageIdentifier":"s3://dvn-cloud:185e8ea1aa4-cc699c549bd7","rootDataFileId":-1,"md5":"19d2718161691d2c0fac5d6a8fb5e5fc","checksum":{"type":"MD5","value":"19d2718161691d2c0fac5d6a8fb5e5fc"},"tabularData":false,"creationDate":"2023-01-25","publicationDate":"2023-02-01","fileAccessRequest":false}},{"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.","label":"20 Oceania-cowpea-crop-aggregate.zip","restricted":false,"version":1,"datasetVersionId":340862,"categories":["Data"],"dataFile":{"id":6905265,"persistentId":"","filename":"20 Oceania-cowpea-crop-aggregate.zip","contentType":"application/zip","friendlyType":"ZIP Archive","filesize":37934134,"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.","categories":["Data"],"storageIdentifier":"s3://dvn-cloud:185e8ea5f49-4c44a40d6108","rootDataFileId":-1,"md5":"a393dc81c7745f36af7bbc46d586331f","checksum":{"type":"MD5","value":"a393dc81c7745f36af7bbc46d586331f"},"tabularData":false,"creationDate":"2023-01-25","publicationDate":"2023-02-01","fileAccessRequest":false}},{"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.","label":"21 Oceania-maize-crop-aggregate.zip","restricted":false,"version":1,"datasetVersionId":340862,"categories":["Data"],"dataFile":{"id":6905254,"persistentId":"","filename":"21 Oceania-maize-crop-aggregate.zip","contentType":"application/zip","friendlyType":"ZIP Archive","filesize":41805878,"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.","categories":["Data"],"storageIdentifier":"s3://dvn-cloud:185e8eaad1a-1616b39be1d0","rootDataFileId":-1,"md5":"00ec5a94ebd1227a6f940f37495c5797","checksum":{"type":"MD5","value":"00ec5a94ebd1227a6f940f37495c5797"},"tabularData":false,"creationDate":"2023-01-25","publicationDate":"2023-02-01","fileAccessRequest":false}},{"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.","label":"22 Oceania-pearl_millet-crop-aggregate.zip","restricted":false,"version":1,"datasetVersionId":340862,"categories":["Data"],"dataFile":{"id":6905263,"persistentId":"","filename":"22 Oceania-pearl_millet-crop-aggregate.zip","contentType":"application/zip","friendlyType":"ZIP Archive","filesize":38048327,"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.","categories":["Data"],"storageIdentifier":"s3://dvn-cloud:185e8eaf0af-b2f11d35788f","rootDataFileId":-1,"md5":"0ea6a1dae015e5be50ed7ac9ce29bdf4","checksum":{"type":"MD5","value":"0ea6a1dae015e5be50ed7ac9ce29bdf4"},"tabularData":false,"creationDate":"2023-01-25","publicationDate":"2023-02-01","fileAccessRequest":false}},{"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.","label":"23 Oceania-potato-crop-aggregate.zip","restricted":false,"version":1,"datasetVersionId":340862,"categories":["Data"],"dataFile":{"id":6905264,"persistentId":"","filename":"23 Oceania-potato-crop-aggregate.zip","contentType":"application/zip","friendlyType":"ZIP Archive","filesize":43171807,"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.","categories":["Data"],"storageIdentifier":"s3://dvn-cloud:185e8eb3d9a-441aea69ff9a","rootDataFileId":-1,"md5":"681d73cfc4d8f27195d048fe3a69e877","checksum":{"type":"MD5","value":"681d73cfc4d8f27195d048fe3a69e877"},"tabularData":false,"creationDate":"2023-01-25","publicationDate":"2023-02-01","fileAccessRequest":false}},{"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.","label":"24 Oceania-rice-crop-aggregate.zip","restricted":false,"version":1,"datasetVersionId":340862,"categories":["Data"],"dataFile":{"id":6905255,"persistentId":"","filename":"24 Oceania-rice-crop-aggregate.zip","contentType":"application/zip","friendlyType":"ZIP Archive","filesize":40082343,"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.","categories":["Data"],"storageIdentifier":"s3://dvn-cloud:185e8eb83be-d0616d475c1c","rootDataFileId":-1,"md5":"55d2fb2b97e7ce46cbe23be2ff985b50","checksum":{"type":"MD5","value":"55d2fb2b97e7ce46cbe23be2ff985b50"},"tabularData":false,"creationDate":"2023-01-25","publicationDate":"2023-02-01","fileAccessRequest":false}},{"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.","label":"25 Oceania-sorghum-crop-aggregate.zip","restricted":false,"version":1,"datasetVersionId":340862,"categories":["Data"],"dataFile":{"id":6905260,"persistentId":"","filename":"25 Oceania-sorghum-crop-aggregate.zip","contentType":"application/zip","friendlyType":"ZIP Archive","filesize":40941361,"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.","categories":["Data"],"storageIdentifier":"s3://dvn-cloud:185e8ebc47f-b9caf12804bd","rootDataFileId":-1,"md5":"fb164b315b3d027ccd1ca5fd625610eb","checksum":{"type":"MD5","value":"fb164b315b3d027ccd1ca5fd625610eb"},"tabularData":false,"creationDate":"2023-01-25","publicationDate":"2023-02-01","fileAccessRequest":false}},{"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.","label":"26 Oceania-soybean-crop-aggregate.zip","restricted":false,"version":1,"datasetVersionId":340862,"categories":["Data"],"dataFile":{"id":6905257,"persistentId":"","filename":"26 Oceania-soybean-crop-aggregate.zip","contentType":"application/zip","friendlyType":"ZIP Archive","filesize":43635153,"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.","categories":["Data"],"storageIdentifier":"s3://dvn-cloud:185e8ec0b39-f735cb665aed","rootDataFileId":-1,"md5":"7c8cd38d7504faa179451eaf882bb51b","checksum":{"type":"MD5","value":"7c8cd38d7504faa179451eaf882bb51b"},"tabularData":false,"creationDate":"2023-01-25","publicationDate":"2023-02-01","fileAccessRequest":false}},{"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.","label":"27 Oceania-sweet_potato-crop-aggregate.zip","restricted":false,"version":1,"datasetVersionId":340862,"categories":["Data"],"dataFile":{"id":6905259,"persistentId":"","filename":"27 Oceania-sweet_potato-crop-aggregate.zip","contentType":"application/zip","friendlyType":"ZIP Archive","filesize":43752530,"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.","categories":["Data"],"storageIdentifier":"s3://dvn-cloud:185e8ec50be-a4b89afdb752","rootDataFileId":-1,"md5":"3da007ba8456a73a7ce9af63ac5e1df2","checksum":{"type":"MD5","value":"3da007ba8456a73a7ce9af63ac5e1df2"},"tabularData":false,"creationDate":"2023-01-25","publicationDate":"2023-02-01","fileAccessRequest":false}},{"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.","label":"28 Oceania-whea-crop-aggregate.zip","restricted":false,"version":1,"datasetVersionId":340862,"categories":["Data"],"dataFile":{"id":6905256,"persistentId":"","filename":"28 Oceania-whea-crop-aggregate.zip","contentType":"application/zip","friendlyType":"ZIP Archive","filesize":46312842,"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.","categories":["Data"],"storageIdentifier":"s3://dvn-cloud:185e8ec99ec-eed5ebf9f983","rootDataFileId":-1,"md5":"3756958b1e0d5c0f3748cc39138e36b6","checksum":{"type":"MD5","value":"3756958b1e0d5c0f3748cc39138e36b6"},"tabularData":false,"creationDate":"2023-01-25","publicationDate":"2023-02-01","fileAccessRequest":false}},{"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. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.","label":"29 Oceania-yams-crop-aggregate.zip","restricted":false,"version":1,"datasetVersionId":340862,"categories":["Data"],"dataFile":{"id":6905266,"persistentId":"","filename":"29 Oceania-yams-crop-aggregate.zip","contentType":"application/zip","friendlyType":"ZIP Archive","filesize":40756283,"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. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.","categories":["Data"],"storageIdentifier":"s3://dvn-cloud:185e8ed2160-40c1cca2268d","rootDataFileId":-1,"md5":"0f845e208ae029c9a4e1397154cf431d","checksum":{"type":"MD5","value":"0f845e208ae029c9a4e1397154cf431d"},"tabularData":false,"creationDate":"2023-01-25","publicationDate":"2023-02-01","fileAccessRequest":false}}],"citation":"Mora, Brayan, 2023, \"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\", https://doi.org/10.7910/DVN/QSTFLU, Harvard Dataverse, V1"}}