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The Dataverse portal of the International Center for Agricultural Research in Dry Ares (ICARDA) has been set up with the aim of making Findable, Accessible, Interoperable and Reusable (F.A.I.R.) the knowledge produced in research for development frameworks, joined by the Center and its partners. The portal is supported by the CGIAR Research Program on LIVESTOCK, the CGIAR Platform for BIGDATA in Agriculture, and is powered by CODEOBIA and hosted by Amazon Web Services (AWS). You may copy, distribute and transmit the data as long as you acknowledge the source through proper citation as shown below. You may not resale or use the data for any commercial purposes except with written permission from the respective authoring institution(s) and the author(s) concerned. By using the ICARDA 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. The user should always verify actual data.

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461 to 470 of 599 Results
Aug 30, 2025 - Big Data and ICT
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Crop Type Map of Fergana, 2006", https://hdl.handle.net/20.500.11766.1/FK2/608AP0, MELDATA, V7
Land use map shows the spatial distribution of dominant crop types (at the per-parcel level) in the major part of the Fergana Valley in 2006. The map is part of a series on crop distribution from 2004 to 2015.
Aug 30, 2025 - Big Data and ICT
Biradar, Chandrashekhar, 2015, "Central Asia and NW China absolute change of annual mean precipitation 2020s_A1b", https://hdl.handle.net/20.500.11766.1/FK2/AHVZDB, MELDATA, V6
Central Asia and North-West China (Xingjiang province) absolute change of annual mean precipitation in 2020 according to IPCC near-term climate change scenario A1b
Aug 30, 2025 - Big Data and ICT
Biradar, Chandrashekhar, 2015, "Central Asia and NW China agro-climatic zones 10_40_A1b", https://hdl.handle.net/20.500.11766.1/FK2/BL66QR, MELDATA, V3
Central Asia and North-West China (Xingjiang province) agroclimatic zones 2011-2040 based on the averaged output of 4 GCM models under Greenhouse Gas Emission Scenario 10_40_A1b
Aug 30, 2025 - Collect, Conserve and Use Agricultural Biodiversity
Kehel, Zakaria; Amri, Ahmed; Tsivelikas, Athanasios, 2017, "FIGS_ICDW_Scab_2017", https://hdl.handle.net/20.500.11766.1/GYJLXC, MELDATA, V8
The FIGSICDWScab2017 FIGS set was constructed using evaluation data from more than 5590 durum wheat accessions and machine learning algorithms including Random Forest, support vector machine and kernel nearest neighbors, and using daily climatic data aligned to onset to capture d...
Aug 26, 2025 - Building resilient integrated crop-livestock farming systems
Louhaichi, Mounir; Gamoun, Mouldi; Ben Salem, Farah; Belfekih, Ezzeddine; Ghouhis, Fethi, 2019, "Impact of rest duration and land tenure on plant species density (Annual and perennial species) of degraded rangelands in Tunisia", https://hdl.handle.net/20.500.11766.1/FK2/ZC9K8J, MELDATA, V10
To investigated changes in the spatial and temporal patterns of community structure and rangeland function in response to the period of rest. A total of 20 sites in southern Tunisia (Tataouine) covering more than 15000 ha including 12 private rangelands and 4 communal subjected t...
Aug 26, 2025 - Sustainable use and management of scarce water and land resources
Louhaichi, Mounir; Ouled Belgacem, Azaiez; Abdelkader, Mohamed; Ben Salem, Farah, 2017, "The Relevance of Rest Periods in Rangeland Management for Plant Density in Tataouine, Tunisia, Spring 2017", https://hdl.handle.net/20.500.11766.1/FK2/X9IYIU, MELDATA, V9
In southern Tunisia, rangelands are overexploited because the animal needs highly exceed plant production. For most of the skeletal desert soil, the overall vegetation covering oscillates between 1 and 10%; the perennial aerial biomass is lower than 100 kg of dry matter (DM)/ha/y...
Aug 7, 2025 - African Chicken Genetic Gains (ACGG)
Dessie, Tadelle; Sonaiya, Prof. Funso; Guangul, Solomon; Hamisi Goromela, Dr. Ezekiel; Bruno, Jasmine; Getachew, Fasil; Poole, Elizabeth; Komen, Hans; Jaramillo, Ms Maria; Hanotte, Olivier; Assefa, Getnet; Esatu, Wondmeneh; Kingamkono, Mrs. Margaret; Bamidele, Dr. Oladeji; Adebambo, Dr. Olufunmilayo; Adeyinka, Dr. Isaac; Rege, Ed; Ouma, Robert; Mujibi, Dennis; Alemayehu, Tesfahun; Kassaye, Hezekias; Njamba, Harrison, 2018, "African Chicken Genetic Gains (ACGG) - On Station Data", https://hdl.handle.net/20.500.11766.1/FK2/KMG8XY, MELDATA, V5
A program for accessing, testing, adapting, and catalyzing public-private partnerships for multiplying and making available well-adapted low-input chickens for productivity growth in sub-Saharan Africa. These data may be used to characterize chicken production in the 3 countries...
Jun 30, 2025 - Collect, Conserve and Use Agricultural Biodiversity
Keser, Mesut; Özdemir, Fatih; Morgunov, Alexey Ivanovich; Akin, Beyhan, 2016, "23rd Facultative Winter Wheat Observation Nurseries - Irrigation condition (23FAWWON-IRR)", https://hdl.handle.net/20.500.11766.1/FK2/SOQZIZ, MELDATA, V6
The dataset contains data from the 23rd Facultative Winter Wheat Observation Nurseries - Irrigation condition (FAWWON-IRR), as part of the International Nursery data for Winter Facultative Wheat report for 2016. The genotypes developed by IWWIP have been tested in multilocations....
Jun 30, 2025 - International Livestock Research Institute
Enahoro, Dolapo; Ajeigbe, Hakeem; Shalander, Kumar; Rich, Karl M., 2021, "Qualitative and quantitative datasets for system dynamics modelling of Nigeria's cattle value chain", https://hdl.handle.net/20.500.11766.1/FK2/JYAWMK, MELDATA, V10
Socio-economic surveys, value chain analysis, system dynamics modelling. This dataset can be used in value chain analysis and for policy analysis of the cattle and beef sector in Nigeria.
Jun 30, 2025 - International Livestock Research Institute
Bett, Bernard; Mutua, Edna; Campbell, Zoe; Namatovu, Jane; De Haan, Nicoline; Tumusiime, Dan; Jost, Christine; Ouma, Emily, 2023, "Developing optimum vaccination strategies for Rift Valley Fever (RVF) in East Africa - Understanding how gender and soci-economic factors influence the use of RVF vaccines", https://hdl.handle.net/20.500.11766.1/FK2/GN13EL, MELDATA, V7
The overall project was a mixed methods study to inform the development of effective RVF vaccination strategies in East Africa. The project had 3 key research areas: 1) An RVF vaccination trial, 2) Understanding how gender and socioeconomic factors influence the use of RVF vaccin...
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