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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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Comma Separated Values - 471 B - MD5: 7e211f59c16d724593ae8ad74a954f2a
Comma Separated Values - 436 B - MD5: 7d64319df02e5965bd712ee13d5d1bf6
Jan 17, 2020 - Scaling-up of proven technological packages
Yigezu, Yigezu; Mazid, Ahmed; Aw-Hassan, Aden A.; Telleria, Roberto; Najjar, Dina; Dhehibi, Boubaker; Kassam, Shinan, 2018, "Characterization of the production system in Meknes (household typologies vs. resource use efficiencies)", https://hdl.handle.net/20.500.11766.1/TF3J8G, MELDATA, V7
This data set is a processed version of the survey conducted by ICARDA and INRA for the characterization of the production system in in Meknes. Characterization includes household typologies and their implications on the use efficiency.
Comma Separated Values - 197.9 KB - MD5: 625ee0edc1a81aaac40c88e469f9e70a
Comma Separated Values - 666 B - MD5: ebc61640ab8665fec32caf9c1b2f570d
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