Oceania - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP2-4.5, for the Period 2041-2060.

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Mora Argoti, Brayan Alexander, 2025, "Oceania - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP2-4.5, for the Period 2041-2060.", https://doi.org/10.7910/DVN/TPSCCP, Harvard Dataverse, V1

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Description	The purpose for creating these indicators is to perform a similarity analysis of the climatic conditions (heat, drougth and waterlogging stresses) of a specific location versus the climatic conditions where the accessions of the different crops available in Genesys were collected, within the Analogues tool. The above considers climate change scenarios, thus facilitating the adaptation of crops to future conditions. Methodology: To calculate these agroclimatic indicators, the data from the Coupled Model Intercomparison Project Phase 6 (CMIP6) was taken as a basis, for the Shared Socioeconomic Pathway SSP2-4.5, for the time period 2041-2060 and downscaling and bias correction were applied following the methodology proposed by Navarro-Racines et al. (2020), thus obtaining daily data during the aforementioned time period for the variables: precipitation, maximum and minimum temperature at a resolution of 5 km. With the above, the indicators were calculated by month during 2041 -2060 and finally, to summarize the calculated indicators, a multi-annual aggregation of the data was carried out. (2025-03)
Subject	Earth and Environmental Sciences; Agricultural Sciences
Keyword	abiotic stress, agroclimatic indicators, climatic data, drought, heat, flooding, spatial data, temperature, maximum temperatures, minimum temperatures, precipitation, raster, waterlogging, Latin America and the Caribbean, Climate Action
License/Data Use Agreement	Custom Dataset Terms

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	1 to 5 of 5 Files	Download
	01a. Data_Dictionary.pdf Adobe PDF - 70.8 KB Published Mar 19, 2025 0 Downloads MD5: bf411776dc7fbd9a001e06e20c97bc4d Data dictionary Documentation	Preview "01a. Data_Dictionary.pdf" Access File File Access Public Download Options Adobe PDF Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	02a. Oceania_ind_prec.7z 7Z Archive - 40.0 MB Published Mar 19, 2025 0 Downloads MD5: ecdfae6fd7ea429514165e43eb013a6c Climate indicators calculated from daily precipitation data at monthly level Data	Access File File Access Public Download Options 7Z Archive Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	02b. Oceania_ind_temp.7z 7Z Archive - 29.5 MB Published Mar 19, 2025 0 Downloads MD5: db8663c0371d84731be83c2bbe7d51dc Climate indicators calculated from daily maximum and minimum temperature data at monthly level Data	Access File File Access Public Download Options 7Z Archive Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	02c. Oceania_ind_vpd.7z 7Z Archive - 18.2 MB Published Mar 19, 2025 0 Downloads MD5: d9f93ea8822adef02ed792c21acd5e62 Climate indicators calculated from the calculation of the vapor pressure deficit (VPD), for this calculation the methodology of Tanner and Sinclair (1983) is taken into account, obtaining daily VPD data. Data	Access File File Access Public Download Options 7Z Archive Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	02d. Oceania_ind_waterlogging.7z 7Z Archive - 12.6 MB Published Mar 19, 2025 0 Downloads MD5: fe97f08dbfdc89b8f50f9861776ebf1f Climate indicators calculated from the water balance calculation, for this calculation the Jones and Thornton (2009) methodology is taken into account. Obtaining daily water balance data. Data	Access File File Access Public Download Options 7Z Archive Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX

Citation Metadata

Persistent Identifier	doi:10.7910/DVN/TPSCCP
Publication Date	2025-03-19
Title	Oceania - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP2-4.5, for the Period 2041-2060.
Author	International Center for Tropical Agriculture - CIAThttps://orcid.org/0000-0002-0538-7262
Point of Contact	Use email button above to contact. Alliance Data Management (Bioversity International and the International Center for Tropical Agriculture)
Description	The purpose for creating these indicators is to perform a similarity analysis of the climatic conditions (heat, drougth and waterlogging stresses) of a specific location versus the climatic conditions where the accessions of the different crops available in Genesys were collected, within the Analogues tool. The above considers climate change scenarios, thus facilitating the adaptation of crops to future conditions. Methodology: To calculate these agroclimatic indicators, the data from the Coupled Model Intercomparison Project Phase 6 (CMIP6) was taken as a basis, for the Shared Socioeconomic Pathway SSP2-4.5, for the time period 2041-2060 and downscaling and bias correction were applied following the methodology proposed by Navarro-Racines et al. (2020), thus obtaining daily data during the aforementioned time period for the variables: precipitation, maximum and minimum temperature at a resolution of 5 km. With the above, the indicators were calculated by month during 2041 -2060 and finally, to summarize the calculated indicators, a multi-annual aggregation of the data was carried out. (2025-03)
Subject	Earth and Environmental Sciences; Agricultural Sciences
Keyword	abiotic stress (AGROVOC) http://aims.fao.org/aos/agrovoc/c_35768 agroclimatic indicators (other) climatic data (AGROVOC) http://aims.fao.org/aos/agrovoc/c_29553 drought (AGROVOC) http://aims.fao.org/aos/agrovoc/c_2391 heat (AGROVOC) http://aims.fao.org/aos/agrovoc/c_3519 flooding (AGROVOC) http://aims.fao.org/aos/agrovoc/c_2980 spatial data (AGROVOC) http://aims.fao.org/aos/agrovoc/c_379bbe9f temperature (AGROVOC) http://aims.fao.org/aos/agrovoc/c_7657 maximum temperatures (other) minimum temperatures (other) precipitation (AGROVOC) http://aims.fao.org/aos/agrovoc/c_6161 raster (other) waterlogging (AGROVOC) http://aims.fao.org/aos/agrovoc/c_8333 Latin America and the Caribbean (Research Region) Climate Action (Research Lever)
Topic Classification	climatic data (AGROVOC) http://aims.fao.org/aos/agrovoc/c_29553
Language	English
Producer	Bioversity International and the International Center for Tropical Agriculture (ABC) https://alliancebioversityciat.org/ International Center for Agricultural Research in the Dry Areas (ICARDA) https://www.icarda.org/
Production Date	2024-01-01
Contributor	Project Manager: Ramirez, Julian Project Manager: Kehel, Zakaria Researcher: Sotelo, Steven Researcher: Hernandez, Victor Researcher: Aouzal, Khadija Researcher: Achicanoy Estrella, Harold Armando
Funding Information	Global Crop Trust
Distributor	International Center for Agricultural Research in the Dry Areas (ICARDA) https://www.icarda.org/ The Alliance of Bioversity International and CIAT
Distribution Date	2025-01-15
Depositor	Alliance Data Management
Deposit Date	2025-03-05
Time Period	Start Date: 2041-01-01; End Date: 2060-12-31
Date of Collection	Start Date: 2024-01-01; End Date: 2024-12-31
Data Type	Climate Date; Geospatial Data; Breeding Data
Related Dataset	Mora Argoti, Brayan Alexander, 2025, "Africa - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP2-4.5, for the Period 2041-2060.", https://doi.org/10.7910/DVN/ZQA9LA, Harvard Dataverse; Mora Argoti, Brayan Alexander, 2025, "Asia - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP2-4.5, for the Period 2041-2060.", https://doi.org/10.7910/DVN/WZH2TK, Harvard Dataverse; Mora Argoti, Brayan Alexander, 2025, "Europe - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP2-4.5, for the Period 2041-2060.", https://doi.org/10.7910/DVN/L9IDGH, Harvard Dataverse; Mora Argoti, Brayan Alexander, 2025, "North America - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP2-4.5, for the Period 2041-2060.", https://doi.org/10.7910/DVN/E8Z5Q3, Harvard Dataverse; Mora Argoti, Brayan Alexander, 2025, "South America - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP2-4.5, for the Period 2041-2060.", https://doi.org/10.7910/DVN/JIXOGY, Harvard Dataverse

Geospatial Metadata

Geographic Coverage	Oceania Global
Geographic Bounding Box	113.5 178.49 -2.0 -47.25

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