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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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1,761 to 1,770 of 4,779 Results
MS Word - 4.8 MB - MD5: 7b8b063126d3baf1a47c59d929bd0ca3
MS Excel Spreadsheet - 481.5 KB - MD5: fc8c118c53c040f9ee89b6a50d88077b
Mar 22, 2023 - International Livestock Research Institute
Mtimet, Nadhem; Wanyoike, Francis; Mugunieri, Lawrence; Ndiwa, Nicholas; Warsame, Ahmed; Marshall, Karen, 2023, "Reducing Vulnerability of Somali Communities by Raising the Capacity of Indigenous Systems and Enhancing Market Access and Consumer Welfare: Knowledge of livestock grading and market participation among small ruminant producers in northern Somalia", https://hdl.handle.net/20.500.11766.1/FK2/B9E1LJ, MELDATA, V1
This activity focused on market participation and producer's knowledge of the indigenous livestock grading and pricing system applied to small ruminant marketing in Somaliland. Data were collected from a random sample of 143 men and women producers in three livelihood zones: Hawd...
Comma Separated Values - 1.9 KB - MD5: 51d8c8c684ca998379616f581229c88f
Mar 6, 2023 - Building resilient integrated crop-livestock farming systems
Louhaichi, Mounir; Hassan, Sawsan; Yigezu, Yigezu; Slim, Slim; Gouhis, Fethi, 2022, "Economic valuation of cactus pear production in semi-arid regions of Tunisia", https://hdl.handle.net/20.500.11766.1/FK2/X8U0T9, MELDATA, V8
Dataset about cactus pear production and economic evaluation in Tunisia. The dataset is part of a survey series, targeting farmer planting cactus across 5 countries: Tunisia, India, Jordan, Mexico and Chile.
ZIP Archive - 170.5 KB - MD5: 12170c4e9654dbfcf91f5d0e53999e28
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