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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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561 to 570 of 608 Results
CGIAR Research Program on Livestock(International Livestock Research Institute)
Feb 10, 2022International Livestock Research Institute
CGIAR Research Program on Livestock and Fish(International Livestock Research Institute)
Feb 10, 2022International Livestock Research Institute
Accelerated Value Chain Development (AVCD)(International Livestock Research Institute)
Feb 10, 2022International Livestock Research Institute
African Dairy Genetic Gains (ADGG)(International Livestock Research Institute)
Feb 10, 2022International Livestock Research Institute
Dairy Genetics East Africa (DGEA)(International Livestock Research Institute)
Feb 10, 2022International Livestock Research Institute
MoreMilkIT(International Livestock Research Institute)
Feb 10, 2022International Livestock Research Institute
Rangeland Conditions Photo Dataset
Sep 14, 2021 - International Livestock Research Institute
Jensen, Nathaniel; Mude, Andrew, 2021, "Rangeland Conditions Photo Dataset", https://hdl.handle.net/20.500.11766.1/FK2/KDLELY, MELDATA, V1
These data were collected between March and July 2015 by about 113 pastoralists in Northern Kenya while going about their daily lives. The contributors were asked to collect submissions as much as they liked, as long as those submissions were collected during daylight hours and w...
SIP Data 2017-2018 ICRISAT, Niamey
May 27, 2021 - Scaling-up of proven technological packages
Bado, Vincent; Sanoussi Manzo, Maman Laminou, 2020, "SIP Data 2017-2018 ICRISAT, Niamey", https://hdl.handle.net/20.500.11766.1/FK2/AAAGO5, MELDATA, V2
The dataset contains the results of a field experiment with the objective to test Integrated Production System (SIP) by combining Assisted Natural Regeneration (RNA) and crop fertilization technologies and practices in order to demonstrate their performance in order to upscaling...
Datasets for Farmers' Attitudes Towards Treated Sludge (Biosolids) use in Agriculture: Evidence from Jordanian Badia
Mar 5, 2021 - Sustainable use and management of scarce water and land resources
El-Hiary, Masnat; Dhehibi, Boubaker; Awaideh, Ala; Hadidi, Omamah Taysir Taher; Haddad, Mira; Strohmeier, Stefan, 2021, "Datasets for Farmers' Attitudes Towards Treated Sludge (Biosolids) use in Agriculture: Evidence from Jordanian Badia", https://hdl.handle.net/20.500.11766.1/FK2/F7QQYB, MELDATA, V1
The dataset is the result of a survey implemented by the Socio-economic Studies Directorate - National Agricultural Research Center (NARC) in Jordan to investigate farmers’ perceptions of land application of treated sewage sludge on their farms/agro-pastoral communities (Project...
International Livestock Research Institute(International Livestock Research Institute)
Dec 25, 2020
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