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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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3,941 to 3,950 of 3,957 Results
DataDictionary_Element_Description.csv
Mar 6, 2019 - Effect of Rangeland restoration and management in relation to land tenure on vegetation type and production
Comma Separated Values - 5.8 KB - MD5: b11692aa9029fba4dee0b1faadae864c
DataDictionary_Unique_Identifier.csv
Mar 6, 2019 - Effect of Rangeland restoration and management in relation to land tenure on vegetation type and production
Comma Separated Values - 546 B - MD5: d0603f2afe41f9cb1a1eb89e466c87a0
SimulationSitesSummary.csv
Mar 6, 2019 - Effect of Rangeland restoration and management in relation to land tenure on vegetation type and production
Comma Separated Values - 2.4 KB - MD5: be038a58e639e260e6e760c084a20c44
DataDictionary_DatasetIntroduction.csv
Mar 2, 2019 - Database on the phenotypic resistance of Tunisian sheep breeds to gastro-intestinal nematodes
Comma Separated Values - 1.6 KB - MD5: 7cb6afdcd88cdbe7245034fcf051992b
DataDictionary_ElementsDescriptions.csv
Mar 2, 2019 - Database on the phenotypic resistance of Tunisian sheep breeds to gastro-intestinal nematodes
Comma Separated Values - 11.5 KB - MD5: cf4467606d3cd558e445a1a30172c2b3
DataDictionary_SimulationSitesSummary.csv
Mar 2, 2019 - Database on the phenotypic resistance of Tunisian sheep breeds to gastro-intestinal nematodes
Comma Separated Values - 619 B - MD5: be2ecec88bcc054a8929700d54bcd12f
DataDictionary_UniqueIdentifier.csv
Mar 2, 2019 - Database on the phenotypic resistance of Tunisian sheep breeds to gastro-intestinal nematodes
Comma Separated Values - 2.1 KB - MD5: 04506bdd39ca4c9fb379e716421967f0
PhenotypicResistance_of_Sheep_to_GIN_Tunisia_2017.csv
Mar 2, 2019 - Database on the phenotypic resistance of Tunisian sheep breeds to gastro-intestinal nematodes
Comma Separated Values - 40.1 KB - MD5: 961e4e2b1dd9a6d9fe6ec3a4b6749af5
Big Data and ICT(International Center for Agricultural Research in the Dry Areas)
Jul 9, 2018
The advent of big data, which incorporates geo- informatics, remote sensing, and the large volumes of data being generated by technological advances in genomics, will revolutionize the way we work in the future. The use of this information to increase research efficiencies and de...
Capacity Development(International Center for Agricultural Research in the Dry Areas)
Jul 9, 2018
Capacity development is core to ICARDA’s mission and an essential element for the delivery of quality research and sustainable development impact. Over the coming decade we will build on our extensive network of long and enduring partnerships with universities and ARIs, which sha...
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