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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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While utmost care has been taken by ICARDA and data authors when collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, the authoring institutions be liable for any actual, incidental or consequential damages arising from use of the data.

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1 to 10 of 457 Results
May 23, 2023 - Collect, Conserve and Use Agricultural Biodiversity
El Bouhssini, Mustapha; Ibrahim, Zakaria; Rihawi, Fawzi; Amri, Ahmed; Miloudi, Nachit, 2023, "IPM of insect pests - Sunn pest project: Screening of wild species for resistance to Sunn pest experiment 2003", https://hdl.handle.net/20.500.11766.1/FK2/BUTQTE, MELDATA, V1
Datasets of Integrated Pest management (IPM) of Insect Pests - Sunn Pest Project: Screening of wild species for resistance to Sunn pest experiment 2003 (ICARDA's GERMPLASM PROGRAM (Entomology)). The objective is to identify sources of resistance in wild species to Sunn pest.
May 23, 2023 - Big Data and ICT
Kosimov, Sherzod, 2023, "Soil sampling points in Fergana valley and Sogd", https://hdl.handle.net/20.500.11766.1/FK2/AEFLE7, MELDATA, V1
Soil sampling points in Fergana valley and Sogd, CRP WUE activities 2015
May 23, 2023 - Collect, Conserve and Use Agricultural Biodiversity
El Bouhssini, Mustapha; Rihawi, Fawzi; Miloudi, Nachit, 2023, "IPM of insect pests - Hessian Fly project: Screening of wild species for resistance to Hessian fly experiment 2003", https://hdl.handle.net/20.500.11766.1/FK2/HK9F2P, MELDATA, V1
Integrated Pest management (IPM) of Insect Pests - Hessian Fly project: Screening of wild species for resistance to Hessian fly experiment 2003. The objective is to identify sources of resistance in wild species to Hessian fly
May 23, 2023 - Sustainable use and management of scarce water and land resources
Kosimov, Sherzod, 2023, "Measurements of Soil moisture, Soil temperature and Soil salinity in Uzbekistan", https://hdl.handle.net/20.500.11766.1/FK2/T18H7O, MELDATA, V1
The dataset contains measurements of soil moisture, soil temperature and soil salinity associated to winter wheat and cotton, collected from 3 experimental farms from different Hydromodule zones (HMZ) in Uzbekistan.
Apr 26, 2023 - Big Data and ICT
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2023, "Cotton Yield Map (Pixel Based), 2012", https://hdl.handle.net/20.500.11766.1/FK2/NZ7ZGH, MELDATA, V1
Yield map for cotton in Fergana valley, Uzbekistan in 2012. The map is part of a series on crop distribution from 2004 to 2015.
Apr 26, 2023 - Big Data and ICT
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2023, "Rice Yield Map (Pixel Based), 2010", https://hdl.handle.net/20.500.11766.1/FK2/V1XZTD, MELDATA, V1
Yield map for rice in Fergana valley, Uzbekistan in 2010. The map is part of a series on crop distribution from 2004 to 2015.
Apr 24, 2023 - African Chicken Genetic Gains (ACGG)
Dessie, Tadelle; Sonaiya, Prof. Funso; Guangul, Solomon; Hamisi Goromela, Dr. Ezekiel; Bruno, Jasmine; Getachew, Fasil; Poole, Elizabeth; Komen, Hans; Jaramillo, Ms Maria; Hanotte, Olivier; Assefa, Getnet; Esatu, Wondmeneh; Kingamkono, Mrs. Margaret; Bamidele, Dr. Oladeji; Adebambo, Dr. Olufunmilayo; Adeyinka, Dr. Isaac; Rege, Ed; Ouma, Robert; Mujibi, Dennis; Alemayehu, Tesfahun; Kassaye, Hezekias; Njamba, Harrison, 2023, "AFRICAN CHICKEN GENETIC GAINS (ACGG) - On Station Data", https://hdl.handle.net/20.500.11766.1/FK2/KMG8XY, MELDATA, V2
A program for accessing, testing, adapting, and catalyzing public-private partnerships for multiplying and making available well-adapted low-input chickens for productivity growth in sub-Saharan Africa. These data may be used to characterize chicken production in the 3 countries...
Apr 20, 2023 - Collect, Conserve and Use Agricultural Biodiversity
Keser, Mesut, 2023, "List of historical wheat varieties released by wheat breeding program in Turkey form 1925 to 2021", https://hdl.handle.net/20.500.11766.1/FK2/FXW9AP, MELDATA, V1
The dataset contains all the data associated to the paper "Variety Development of Wheat in Turkey and the Impact of Regulations". The data were originally stored inside the paper, and they were extracted to share them in more friendly and machine-readable format. The data contain...
Apr 18, 2023 - International Livestock Research Institute
Campbell, Zoe; Njiru, Nelly, 2022, "Gender-responsive design opportunities for bacteriophage therapy targeting Salmonella for adoption by Kenyan chicken keepers", https://hdl.handle.net/20.500.11766.1/FK2/QKORYG, MELDATA, V2
Focus group discussions. This research activity on gender and bacteriophages is one of the aims within the research project ‘Phages as a one health approach for the replacement of antibiotics, and reduction of drug resistant nontyphoidal Salmonella, in poultry farms in Kenya’. Ba...
Apr 18, 2023 - Big Data and ICT
Feger, Sebastian; Pertiwi, Cininta; Bonaiuti, Enrico, 2023, "Study I - Research Data Management Questionnaire Responses", https://hdl.handle.net/20.500.11766.1/FK2/REFFD7, MELDATA, V1
The dataset contains the responses to a questionnaire on Research Data Management (RDM) practices collected at ICARDA/CGIAR level. The survey was conducted in 2020/2021.
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