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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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441 to 450 of 607 Results
Jun 20, 2024 - Sustainable use and management of scarce water and land resources
Haddad, Mira; Strohmeier, Stefan, 2018, "SWAT weather generator for Doka watershed", https://hdl.handle.net/20.500.11766.1/FK2/PJRAA7, MELDATA, V4
The dataset contains Soil and Water Assessment Tool (SWAT) for weather generator for Doka watershed, Sudan.
Jun 20, 2024 - Collect, Conserve and Use Agricultural Biodiversity
Kehel, Zakaria; Street, Kenneth, 2017, "2017 ICARDA Chickpea Chilling Tolerance FIGS Subset", https://hdl.handle.net/20.500.11766.1/DGXPJ3, MELDATA, V6
The low temperature FIGS set contains 100 chickpea accessions. This set was created using the Focused Identification of Germplasm Strategy FIGS (http://figs.icarda.org). Daily minimal temperature and precipitation combined with onset information were used for this process. An ind...
Jun 20, 2024 - International Livestock Research Institute
Teufel, Nils; Baltenweck, Isabelle; Swain, Braja, 2021, "Adoption of dual-purpose groundnut varieties in Odisha", https://hdl.handle.net/20.500.11766.1/FK2/TEE5QY, MELDATA, V3
These data contain one round cross section, details about the 450 villages those includes landholding, livestock holding, demographic structure, cropping pattern, information of groundnut varieties and adoption collected between 2019 and 2020.
Jun 20, 2024 - Collect, Conserve and Use Agricultural Biodiversity
Kehel, Zakaria; Street, Kenneth, 2017, "2017 ICARDA Faba Bean Acid Soils FIGS Subset", https://hdl.handle.net/20.500.11766.1/QW5AR7, MELDATA, V6
The FIGS_ILB_Acid_2017 FIGS set was created using the Focused Identification of Germplasm Strategy FIGS (http://figs.icarda.org). We used the FAO's harmonized soil database to construct this set. Furthermore, WorldClim data was used to maximize the climatic diversity within this...
Jun 19, 2024 - International Livestock Research Institute
Dione, Michel; Oba, Peter; Wieland, Barbara; Ouma, Emily, 2021, "Epidemiology of Respiratory Diseases: Impact on Smallholder Pig Production Systems in Uganda (Pig multipathogen survey and disease impact - Lira district)", https://hdl.handle.net/20.500.11766.1/FK2/D7L4D1, MELDATA, V1
Knowledge of epidemiology of circulating respiratory pathogens, their impacts on pig productivity and genetic diversity in Uganda is limited or lacking. Thus, identifying circulating pathogens, risk factors for their occurrence and determining their genetic diversity in pig popul...
Jun 19, 2024 - International Livestock Research Institute
Woolhouse, Mark; Bronsvoort, Barend Mark de Clare; Toye, Philip; Kiara, Henry Kimathi; Poole, Elizabeth; Mbole-Kariuki, Ndila; Njiiri, Evalyne, 2015, "Infection dynamics and disease burden of East African cattle (IDEAL)", https://hdl.handle.net/20.500.11766.1/FK2/B1GWDC, MELDATA, V1
IDEAL was a multi-disciplinary study addressing two main issues: 1) the widely recognised lack of baseline epidemiological data on the dynamics and impacts of infectious diseases of cattle in the tropics; and 2) improving understanding of interactions between multiple infections...
Apr 30, 2024 - Sustainable use and management of scarce water and land resources
Rajabov, Toshpulat; Clifton, Kathryn; Shaumarov, Makhmud; Louhaichi, Mounir, 2015, "Raw data for rangeland vegetation sampling of Central Asia rangelands", https://hdl.handle.net/20.500.11766.1/FK2/YXFYLD, MELDATA, V4
The datasets holds data about rangeland vegetation sampling that was conducted during the spring of 2015 in Karakalpakstan using transect sampling to understand the grazing impact in different land tenure regimes. The collected data includes vegetation density, biomass, species c...
Apr 30, 2024 - 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, V7
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...
Apr 30, 2024 - Collect, Conserve and Use Agricultural Biodiversity
Kehel, Zakaria; Street, Kenneth, 2017, "2017 ICARDA Barley FIGS Set for Frost Tolerance", https://hdl.handle.net/20.500.11766.1/OTBT3L, MELDATA, V5
The FIGSICBFrost2017 FIGS set was created using the Focused Identification of Germplasm Strategy FIGS (http://figs.icarda.org). Daily minimal temperature and precipitation combined with onset information were used for this process. An index was computed using mean and StDev of mi...
Apr 30, 2024 - Collect, Conserve and Use Agricultural Biodiversity
Kehel, Zakaria; Street, Kenneth; Amri, Ahmed, 2017, "2017 ICARDA Barley Net Form and Spot Blotch FIGS Subset", https://hdl.handle.net/20.500.11766.1/J24MBP, MELDATA, V5
The FIGSICBNetFormSpotBlotch2017 set was constructed using evaluation data from more than 875 Barley accessions (http://dx.doi.org/10.1094/PHYTO-04-14-0107-R) and machine learning algorithms including Random Forest, support vector machine and kernel nearest neighbors, and using d...
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