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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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31 to 40 of 4,810 Results
Apr 27, 2026 - Scaling-up of proven technological packages
Dessalegn, Bezaiet; Dhehibi, Boubaker; Swelam, Atef, 2019, "Sharkia_Egypt_Key Informant Interview Database", https://hdl.handle.net/20.500.11766.1/FK2/YFZUZ9, MELDATA, V9
The aim of this research is to assess and evaluate the differences in technology delivery mechanisms employed by private and public service providers including targeted beneficiaries, criteria for service delivery, equitable accessibility of the services to all groups of the soci...
Apr 27, 2026 - Scaling-up of proven technological packages
Dessalegn, Bezaiet; Dhehibi, Boubaker; Swelam, Atef, 2019, "Assiut_Egypt_Key Informant Interview Database", https://hdl.handle.net/20.500.11766.1/FK2/B8MA3S, MELDATA, V7
The aim of this research is to assess and evaluate the differences in technology delivery mechanisms employed by private and public service providers including targeted beneficiaries, criteria for service delivery, equitable accessibility of the services to all groups of the soci...
Apr 27, 2026 - Scaling-up of proven technological packages
Dessalegn, Bezaiet, 2013, "2013 Indicators for WLI - FTF Monitoring system", https://hdl.handle.net/20.500.11766.1/FK2/XINDTC, MELDATA, V17
The dataset contains the values of the Feed the Future indicators for 2013, organized by country: Egypt, Iraq, Jordan, Lebanon, Palestine, Syria and Yemen.
Apr 27, 2026 - Scaling-up of proven technological packages
Dessalegn, Bezaiet, 2012, "2012 Indicators for WLI - FTF Monitoring System", https://hdl.handle.net/20.500.11766.1/FK2/IJPUJG, MELDATA, V15
The dataset contains the values of the Feed the Future indicators for 2012, organized by country: Egypt, Iraq, Jordan, Lebanon, Palestine, Syria and Yemen.
Apr 27, 2026 - Scaling-up of proven technological packages
Dessalegn, Bezaiet, 2017, "2017 Indicators for WLI - FTF Monitoring System", https://hdl.handle.net/20.500.11766.1/FK2/GEPLSF, MELDATA, V15
The dataset contains the values of the Feed the Future indicators for 2017, organized by country: Egypt, Iraq, Jordan, Lebanon, Palestine, Tunisia and Yemen.
Apr 24, 2026 - International Livestock Research Institute
Orth, Alan; Oluchi, Ezekannagha, 2026, "A comprehensive metadata dataset of CGIAR food security, nutrition, and food environment research outputs (2012–2024)", https://hdl.handle.net/20.500.11766.1/FK2/BXBRF9, MELDATA, V2
CGIAR programmes generate a substantial volume of research outputs on food security, nutrition, and food environments, yet these outputs are dispersed across multiple institutional repositories with differing metadata standards, field names, and controlled vocabularies. This frag...
Apr 16, 2026 - International Livestock Research Institute
Ouma, Emily; Ntawubizi, Martin; Achandi, Esther, 2025, "Gendered constraints to smallholder pig farming and marketing in Rwanda", https://hdl.handle.net/20.500.11766.1/FK2/YTDEVL, MELDATA, V7
The pig value chain in Rwanda holds great potential and can contribute to economic development and transformation in the country. However, several constraints impede pig production and marketing by smallholder farmers. This study was conducted as part of the, “Profiting from pigs...
Apr 16, 2026 - International Livestock Research Institute
Marshall, Karen; Malinga, Sophie; Poole, Elizabeth; Dung, Le Tien; Tuan, Han Anh; Duc, Do Van; Dai, Nguyen Van; Le Thi Thanh, Huyen, 2024, "Cattle weight and other body measurements within Son La province of Vietnam", https://hdl.handle.net/20.500.11766.1/FK2/1YR1JN, MELDATA, V5
The dataset includes both household-level and animal-level characteristics. At the household level, data collected included geographic information such as the name of the commune, household number, and the number of eligible animals. Background information about the farmer was al...
Apr 16, 2026 - International Livestock Research Institute
Shikuku, Kelvin; Lepariyo, Watson; Alulu, Vincent; Chelanga, Philemon; Baraza, Meshack; Gobu, Wako; Godana, Nura; Kone Galgallo, Diba; Ochenje, Ibrahim; Malicha, Wario; Naibei, Oscar; Jensen, Nathaniel; Fava, Francesco; Cherotich, Fredah; Paliwal, Ambica; Banerjee, Rupsha, 2025, "KAZNET Sentinel Zones Longitudinal High Frequency Crowdsourced Data", https://hdl.handle.net/20.500.11766.1/FK2/4ZMH2Y, MELDATA, V3
KAZNET longitudinal data is collected weekly as part of setting up sentinel zones in the IGAD region with the aim to provide data required for measuring impact of shocks including drought and conflict on households in the drylands through monitoring of key multi-dimensional indic...
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