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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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101 to 110 of 4,425 Results
Mar 27, 2025 - Sustainable use and management of scarce water and land resources
Awan, Usman, 2020, "Groundwater table measurements (GWT) - Uzbekistan", https://hdl.handle.net/20.500.11766.1/FK2/4W22CT, MELDATA, V5
The dataset contains groundwater table measurements in Qoshtepa and Toshlok from 2002 to 2008, and in Qoshtepa and Oltyaryk from 2012 to 2015.
Mar 27, 2025 - Big Data and ICT
Kosimov, Sherzod, 2015, "Spatial data from Aral Sea region on canals, roads, drainage, crop fields and wells", https://hdl.handle.net/20.500.11766.1/FK2/ICTJMI, MELDATA, V5
The dataset is composed by six shape files containing spatial data of the Aral Sea region including canals, crop fields, drainage, road lines, and wells
Mar 27, 2025 - International Livestock Research Institute
Dione, Michel; Moodley, Arshnee; Djouaka, Rousseau, 2021, "Antimicrobial Use and Resistance in poultry, cattle and fish production systems in Benin", https://hdl.handle.net/20.500.11766.1/FK2/Y6R6RC, MELDATA, V4
Assess knowledge attitude and practice of farmers about antimicrobial use and determine resistance profiles of Salmonella and Campylobacter, two commonly used antibiotics
Mar 24, 2025 - Big Data and ICT
De Pauw, Eddy; Atassi, Layal, 2019, "Annual Rainfall Likely To Be Exceeded In 2 Years Out Of 3", https://hdl.handle.net/20.500.11766.1/FK2/X3BWKV, MELDATA, V5
Annual rainfall likely to be exceeded in 2 years out of 3, in millimeters, at 30 arcsecond resolution, was prepared for the IFAD-ICARDA Project "Poverty Assessment in Sudan". Map prepared as part of three reports that detail the results of a poverty assessment and mapping project...
Mar 24, 2025 - Big Data and ICT
De Pauw, Eddy; Atassi, Layal; Tulaymat, Mohammad Fawaz; Nseir, B., 2019, "Climate Productivity Index (Crop Group III, Rainfed)", https://hdl.handle.net/20.500.11766.1/FK2/H9JU6P, MELDATA, V5
Data for characterization of Central Asia climatic conditions. Climate Productivity Index (Crop Group III, Rainfed) was calculated by using interpolated raster from climatic stations using CLIMAP tool developed at ICARDA.
Mar 24, 2025 - Sustainable use and management of scarce water and land resources
Nangia, Vinay, 2015, "Calibrated DSSAT models for cotton", https://hdl.handle.net/20.500.11766.1/FK2/A40B7M, MELDATA, V2
Calibrated DSSAT models for cotton in Khorezm region, Uzbekistan
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 2014", https://hdl.handle.net/20.500.11766.1/FK2/V7YTW3, 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 - Building resilient integrated crop-livestock farming systems
Massaoud, Ahlem; McLeod, Ross, 2021, "Dataset of key informant interviews conducted for the mid-term evaluation of the CLCA project in North Africa", https://hdl.handle.net/20.500.11766.1/FK2/5XV94T, MELDATA, V8
The dataset includes three questionnaires which are part of the mid-term evaluation of the IFAD CLCA project in North Africa.
Mar 24, 2025 - Scaling-up of proven technological packages
Dessalegn, Bezaiet, 2016, "2016 Indicators for WLI - FTF Monitoring System", https://hdl.handle.net/20.500.11766.1/FK2/HKYRDC, MELDATA, V6
The dataset contains the values of the Feed the Future indicators for 2016, organized by country: Egypt, Iraq, Jordan, Lebanon, Palestine, Tunisia and Yemen.
Mar 24, 2025 - Big Data and ICT
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Wheat Yield Map (Pixel Based), 2010", https://hdl.handle.net/20.500.11766.1/FK2/1FDAFV, MELDATA, V4
Yield map for wheat in Fergana valley, Uzbekistan in 2010. The map is part of a series on crop distribution from 2004 to 2015.
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