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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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In accordance with scientific standards, all users of these data should make appropriate acknowledgement to the producer of the data as well as the distributor using bibliographic citation. Such citations will appear in footnotes or in the reference section of any such manuscript. The citation should use the citation standard documented in http://thedata.org/citation and as shown on the "Data Citation" section of the cataloguing information page for each dataverse study. ICARDA requests a copy of any material produced based on the data. This includes position papers, scientific reports, and graduate papers in addition to publications. All users of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the cataloguing information.

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291 to 300 of 607 Results
Mar 24, 2025 - Collect, Conserve and Use Agricultural Biodiversity
El Bouhssini, Mustapha; Dabous, Asma; Rihawi, Fawzi; Abdalla, Osman; Valkoun, Jan; Porter, Dave, 2003, "IPM of insect pests - Russian Wheat Aphid project: Evaluation of bread wheat for Russian wheat aphid resistance experiment 2003", https://hdl.handle.net/20.500.11766.1/FK2/STOY8U, MELDATA, V3
Datasets of Integrated Pest management (IPM) of Insect Pests - Russian Wheat Aphid Project: evaluation of bread wheat for resistance to Russian wheat aphid experiment 2003 (ICARDA's GERMPLASM PROGRAM (Entomology)). The objective is to identify sources of resistance in bread wheat...
Mar 24, 2025 - Big Data and ICT
Biradar, Chandrashekhar, 2015, "Central Asia and NW China relative change in annual mean precipitation 2020s_A1b", https://hdl.handle.net/20.500.11766.1/FK2/184AQQ, MELDATA, V4
Central Asia and North-West China (Xingjiang province) relative change in annual mean precipitation in 2020 according to IPCC near-term climate change scenario A1b
Mar 24, 2025 - Big Data and ICT
Biradar, Chandrashekhar, 2015, "Central Asia and NW China annual average of monthly maximum temperature 2020s_A2", https://hdl.handle.net/20.500.11766.1/FK2/L5PTRP, MELDATA, V5
Central Asia and North-West China (Xingjiang province) annual average of monthly maximum temperature in 2020 according to IPCC near-term climate change scenario A2
Mar 24, 2025 - Big Data and ICT
Biradar, Chandrashekhar, 2015, "Central Asia and NW China absolute change of annual mean precipitation 2020s_A2", https://hdl.handle.net/20.500.11766.1/FK2/AYX737, MELDATA, V5
Central Asia and North-West China (Xingjiang province) absolute change of annual mean precipitation in 2020 according to IPCC near-term climate change scenario A2
Mar 24, 2025 - Big Data and ICT
Biradar, Chandrashekhar, 2015, "Central Asia and NW China annual mean precipitation 2020s_A1b", https://hdl.handle.net/20.500.11766.1/FK2/TQT6OS, MELDATA, V5
Central Asia and North-West China (Xingjiang province) annual mean precipitation in 2020 according to IPCC near-term climate change scenario A1b
Mar 24, 2025 - Collect, Conserve and Use Agricultural Biodiversity
Kosimov, Sherzod, 2015, "Cotton - Farm Field Data (Uzbekistan, Fergana, Davlat Sahovati)", https://hdl.handle.net/20.500.11766.1/FK2/YH4VMX, MELDATA, V6
The dataset is part of the activity Knowledge of ICARDA for CRP-DS. The dataset includes data collected at experimental farm level in the district of Quva (Fergana region, Uzbekistan) for Cotton cultivars
Mar 24, 2025 - Big Data and ICT
De Pauw, Eddy; Atassi, Layal; Tulaymat, Mohammad Fawaz; Nseir, B., 2019, "Climate Productivity Index (Crop Group IV, Rainfed)", https://hdl.handle.net/20.500.11766.1/FK2/IQ480N, MELDATA, V4
Data for characterization of Central Asia climatic conditions. Climate Productivity Index (Crop Group IV, Rainfed) was calculated by using interpolated raster from climatic stations using CLIMAP tool developed at ICARDA.
Mar 24, 2025 - Big Data and ICT
Atassi, Layal; Al-Shamaa, Khaled; Biradar, Chandrashekhar, 2018, "Al_Khattem Potential Hot-spots Of Red Palm Weevil (RPW) Risk Based On Trap-data 2016", https://hdl.handle.net/20.500.11766.1/FK2/EY1UHA, MELDATA, V9
The layer was part of enhancing date palm integrated pest management and agricultural extension and technology transfer systems in Abu Dhabi project, the layer was generated from survey information on date palm in Abu Dhabi obtained from Abu Dhabi Farmers Services Center. The tra...
Mar 24, 2025 - Big Data and ICT
Atassi, Layal; Al-Shamaa, Khaled; Biradar, Chandrashekhar, 2018, "Rahba Potential Hot-spots Of Red Palm Weevil (RPW) Risk Based On Trap-data 2016", https://hdl.handle.net/20.500.11766.1/FK2/CS0SOE, MELDATA, V8
The layer was part of enhancing date palm integrated pest management and agricultural extension and technology transfer systems in Abu Dhabi project, the layer was generated from survey information on date palm in Abu Dhabi obtained from Abu Dhabi Farmers Services Center. The tra...
Mar 24, 2025 - Senegal Dairy Genetics (SDG)
Marshall, Karen; Baltenweck, Isabelle; Poole, Elizabeth; Tebug, Stanly, 2014, "Senegal Dairy Genetics (SDG) Project - Longitudinal Monitoring Survey", https://hdl.handle.net/20.500.11766.1/FK2/JVXRZD, MELDATA, V6
The project “Improved food and nutritional security from better utilisation of dairy cattle breed-types types in Senegal” (SDG), is led by the International Livestock Research Institute (ILRI), in partnership with the the Interstate School of Veterinary science and Medicine of Da...
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