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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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251 to 260 of 4,810 Results
Apr 9, 2026 - 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, V8
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
Apr 9, 2026 - Climate adapted crops and livestock
Atassi, Layal; Biradar, Chandrashekhar; Mwacharo, Joram; Haile, Aynalem, 2018, "Yabello goat landform similarity in Ethiopia", https://hdl.handle.net/20.500.11766.1/FK2/U35OSK, MELDATA, V8
This map was prepared for Livestock and fish CRP project, for Mapping breeds to appropriate production environments: a case study of Ethiopian indigenous sheep and goats. Yabello goat landform similarity was assessed by comparing the landform composition association within the br...
Apr 9, 2026 - Big Data and ICT
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Yield Map Cotton, 2007  ", https://hdl.handle.net/20.500.11766.1/FK2/WPQQBR, MELDATA, V9
Yield map for winter wheat in Fergana valley, Uzbekistan in 2007. The map is part of a series on crop distribution from 2004 to 2015.
Apr 9, 2026 - 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, V9
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.
Apr 9, 2026 - Collect, Conserve and Use Agricultural Biodiversity
El Haddad, Noureddine; Sanchez-Garcia, Miguel, 2023, "Barley advanced yield trial - Marchouch 2021-2022", https://hdl.handle.net/20.500.11766.1/FK2/JDRQJU, MELDATA, V8
Advanced assessment of Barley lines: yield trials conducted at Marchouch station, Morocco, during 2021-2022 cropping season.
Apr 9, 2026 - Sustainable use and management of scarce water and land resources
Karrou, Mohammed; Daoui, Khalid; Razouk, Rachid; Boutfirass, Mohamed; Bahri, Abdeljabar, 2015, "Experimental results on land and water productivity in rainfed areas in Morocco", https://hdl.handle.net/20.500.11766.1/FK2/XOSFYG, MELDATA, V18
The dataset contains the result of a series of experiments conducted in Morocco between 2014 and 2015, about land and water productivity.
Apr 9, 2026 - Big Data and ICT
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Yield Map Cotton, 2015", https://hdl.handle.net/20.500.11766.1/FK2/1JJ3NK, MELDATA, V13
Yield map for cotton in Fergana valley, Uzbekistan in 2015. The map is part of a series on crop distribution from 2004 to 2015.
Apr 9, 2026 - Big Data and ICT
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Major Land Use (key crops), 2010", https://hdl.handle.net/20.500.11766.1/FEMSKO, MELDATA, V11
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 2010. The map is part of a series on crop distribution from 2010 to 2014. Major crop types like cotton or rice were classified as separately, wh...
Apr 9, 2026 - Big Data and ICT
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Yield Map Winter Wheat, 2010", https://hdl.handle.net/20.500.11766.1/FK2/NRPXR0, MELDATA, V11
Yield map for winter wheat in Fergana valley, Uzbekistan in 2010. The map is part of a series on crop distribution from 2004 to 2015.
Apr 9, 2026 - Sustainable value chains, supportive policies and viable off-farm activities
Rudiger, Udo, 2016, "Analyse et synthèse des sous produits - Tunisia 2016", https://hdl.handle.net/20.500.11766.1/FK2/QCNNSS, MELDATA, V7
The dataset contains information about the main by-products from 76 agroindustrial entreprises in Tunisia: their availabilty around the year and the accessibility to the market. The dataset includes different types of by-products derived from olive, wheat, cactus, fig, tomato and...
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