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, soybeanhttps://doi.org/10.7910/DVN/QSTFLUMora, BrayanHarvard Dataverse2023-02-012024-01-31T11:59:34ZThe purpose for which these crop-specific indicators were created is to group or characterize the different accessions available in the Genesys database, considering the climatic data from where they were collected. 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.Agricultural SciencesEarth and Environmental Sciencesbananasbarleybeanscassavacowpeasmaizepearl milletpotatoesricesorghumsoybeansweet potatoeswheatyamsabiotic stressagroclimatic indicatorsclimatic datasoildroughtheatfloodingspatial datatemperaturemaximum temperatureminimum temperatureprecipitationrastersolar radiationevapotranspirationwaterloggingOceaniaLatin America and the CaribbeanClimate ActionEnglish2022-06-30Castaño, Silvia-ElenaRamirez, JulianKehel, ZakariaSotelo, StevenHernandez, VictorGarcia, Juan-Camilo2022-11-301983-01-012016-12-312021-01-012022-06-01<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"> https://doi.org/10.7910/DVN/AQGOI7</a>, Harvard Dataverse.<br /> Mora, 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"> https://doi.org/10.7910/DVN/8FB13P</a>, Harvard Dataverse.<br /> Mora, 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"> https://doi.org/10.7910/DVN/YQULMX</a>, Harvard Dataverse.<br /> Mora, 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"> https://doi.org/10.7910/DVN/LI5D3A"</a>, Harvard Dataverse.<br /> Mora, 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"> https://doi.org/10.7910/DVN/TV4XEC</a>, Harvard Dataverse.<br /> </p>Climate DateGeospatial DataOceaniaGlobal<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 /> These 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>