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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 4,771 Results
Jan 14, 2026 - Building resilient integrated crop-livestock farming systems
Mazid, Ahmed; Pala, Mustafa; Salkini, Abdul Bari, 1996, "Farming Systems in Iran - Crop Production Practices in the Rainfull Farming Systems in South East of Iran - Survey Data in Kermanshah province - 1996", https://hdl.handle.net/20.500.11766.1/FK2/RMLS4I, MELDATA, V9
The dataset includes survey data about Crop Production Practices in the rainfull Farming Systems in South East of Iran - Kermanshah province - 1996
Jan 14, 2026 - Big Data and ICT
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Crop Type Map of Fergana, 2009", https://hdl.handle.net/20.500.11766.1/FK2/FA63XD, 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 2009. The map is part of a series on crop distribution from 2004 to 2015.
Jan 14, 2026 - Building resilient integrated crop-livestock farming systems
Karrou, Mohammed, 2015, "Comparing productivity of landscape depressions in pastoral ecosystems of Jordan under different treatments", https://hdl.handle.net/20.500.11766.1/FK2/RMJAK1, MELDATA, V9
The dataset compares productivity of landscape depressions in pastoral ecosystems of Jordan under different treatments.
Jan 14, 2026 - Big Data and ICT
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Wheat Yield Map (Pixel Based), 2011", https://hdl.handle.net/20.500.11766.1/FK2/Q2R657, MELDATA, V10
Yield map for wheat in Fergana valley, Uzbekistan in 2011. The map is part of a series on crop distribution from 2004 to 2015.
Jan 14, 2026 - Big Data and ICT
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Yield Map Winter Wheat, 2013", https://hdl.handle.net/20.500.11766.1/FK2/KQLU9H, MELDATA, V11
Yield map for winter wheat in Fergana valley, Uzbekistan in 2013. The map is part of a series on crop distribution from 2004 to 2015.
Jan 14, 2026 - Big Data and ICT
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Yield Map Winter Wheat, 2008", https://hdl.handle.net/20.500.11766.1/FK2/ZBH02G, MELDATA, V11
Yield map for winter wheat in Fergana valley, Uzbekistan in 2008. The map is part of a series on crop distribution from 2004 to 2015.
Jan 14, 2026 - Sustainable use and management of scarce water and land resources
Awan, Usman, 2015, "Irrigation and drainage in Fergana region, Uzbekistan", https://hdl.handle.net/20.500.11766.1/FK2/OYHDLG, MELDATA, V12
The dataset is composed by six shape files on irrigation and drainage in Oktepa district (Fergana), Uzbekistan.
Jan 14, 2026 - Collect, Conserve and Use Agricultural Biodiversity
Singh, Akanksha, 2024, "Seeds of CWR-derived grass pea lines multiplied and delivered to Partners", https://hdl.handle.net/20.500.11766.1/FK2/XOGRQ1, MELDATA, V3
The dataset includes observation data about crop wild relatives derived grass pea (Lathyrus sativus) elite lines selected and multiplied to be delivered to partners at Marchouch station, Marocco, 2023.
Jan 14, 2026 - Collect, Conserve and Use Agricultural Biodiversity
Jakhar, Preeti, 2024, "Chickpea - CIEN_SSA_2023 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/FUPLKV, MELDATA, V7
The dataset includes includes observation data about the study CIEN_SSA_2023: Chickpea International Elite Nursery for Sub-Saharan Africa 2023. The nurseries contain lines that target Sub-Saharan Africa environments and are selected for drought tolerance, heat tolerance, disease...
Jan 14, 2026 - Collect, Conserve and Use Agricultural Biodiversity
Yadav, Ashutosh, 2024, "Lentil - LIEN_SA_2023 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/JY5UZA, MELDATA, V5
The dataset includes observation data about the study LIEN_SA_2023: Lentil International Elite Nursery for South Asia 2023. Objective: These nurseries contain lines that target South Asia environments and are selected for yield and for the major biotic and abiotic stresses of len...
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