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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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31 to 40 of 4,529 Results
Nov 5, 2025 - Building resilient integrated crop-livestock farming systems
Louhaichi, Mounir; Hassan, Sawsan; Yigezu, Yigezu; Leiva, Sebastián; Mora Gonzalez, Marcos; Saenz, Carmen, 2022, "Economic valuation of cactus pear production in semi-arid regions of Chile", https://hdl.handle.net/20.500.11766.1/FK2/YMIQMU, MELDATA, V18
Dataset about cactus pear production and economic evaluation in Chile. The dataset is part of a survey series, targeting farmer planting cactus across 5 countries: Tunisia, India, Jordan, Mexico and Chile.
Nov 5, 2025 - Collect, Conserve and Use Agricultural Biodiversity
El Bouhssini, Mustapha; Joubi, Abdulla; Ibrahim, Zakaria; Malhotra, Rajinder, 2017, "Integrated Pest management (IPM) of Insect Pests - Selection for resistance to Spring Chickpea leafminer 2001", https://hdl.handle.net/20.500.11766.1/FK2/KMNZV7, MELDATA, V8
This dataset includes data on the selection for resistance to Spring Chickpea leafminer L.M (F3) in the year 2001. The Observations tab provides information on the alpha-numeric codes used to describe each progeny. The Cross_Structure tab provides data on the location and parenta...
Nov 5, 2025 - Big Data and ICT
Biradar, Chandrashekhar, 2015, "Characterization of crop fallows for agricultural intensification, Mapping end date of crop fallows in Eastern Gangetic plains from 2000 to 2014", https://hdl.handle.net/20.500.11766.1/9B5PAP, MELDATA, V5
This dataset contains characterization of the crop fallows using remote sensing for agricultural intensification and diversification in Eastern Gangetic plains from 2000 to 2014. Time series satellite data (MODIS and Landsat) were used to map the length of crop fallows in days (d...
Nov 5, 2025 - Building resilient integrated crop-livestock farming systems
Najjar, Dina; Alary, Veronique; Ouesalti, Dorsaf, 2021, "Curated dataset from Rapid appraisal study in Egypt", https://hdl.handle.net/20.500.11766.1/FK2/3BQ5XK, MELDATA, V14
The family farm dataset comes from a data collection conducted from July to October 2020 within two CGIAR Research Programs on Policies, Institutions, and Markets (PIM) and on Livestock (LIVESTOCK). The two CRP programs aimed to empower the CGIAR response to a sanitary crisis in...
Nov 5, 2025 - Climate adapted crops and livestock
Yigezu, Yigezu; Rahman, M. Wakilur; Aw-Hassan, Aden A.; Alwang, Jeff, 2021, "Improved lentil varieties adoption and impacts in Bangladesh", https://hdl.handle.net/20.500.11766.1/FK2/SOCWF9, MELDATA, V12
Dataset on improved lentil varieties (ILVs) adoption and impacts in Bangladesh. It was built through a survey of 1000 households and all their 1694 fields that were cultivated with lentils in the 2014/2015 season. The primary objective of the survey was the determination of the l...
Nov 5, 2025 - Big Data and ICT
De Pauw, Eddy; Atassi, Layal; Tulaymat, Mohammad Fawaz; Nseir, B., 2019, "Climate Productivity Index (Crop Group II, Rainfed)", https://hdl.handle.net/20.500.11766.1/FK2/ZBJSFI, MELDATA, V7
Data for characterization of Central Asia climatic conditions. Climate Productivity Index (Crop Group II, Rainfed) was calculated by using interpolated raster from climatic stations using CLIMAP tool developed at ICARDA.
Nov 5, 2025 - Building resilient integrated crop-livestock farming systems
Frija, Aymen; Ouerghemmi, Hassen; Majri, Rihab, 2020, "Phone farm survey about the impact of COVID-19 on small crop-livestock production households in Zaghouan, Tunisia", https://hdl.handle.net/20.500.11766.1/FK2/1NXHGT, MELDATA, V18
This survey aims at documenting the impact of COVID-19 on farmers performances and household livelihoods in central semi-arid Tunisia. The survey was conducted by phone, during the COVID confinement period (May 2020) with 100 representative and randomly selected farmers who were...
Nov 5, 2025 - Big Data and ICT
De Pauw, Eddy; Atassi, Layal, 2019, "Annual Rainfall Likely To Be Exceeded In 9 Years Out Of 10", https://hdl.handle.net/20.500.11766.1/FK2/GLYCLI, MELDATA, V11
Annual rainfall likely to be exceeded in 9 years out of 10, in millimeters, at 30 arcsecond resolution, was prepared for the IFAD-ICARDA Project "Poverty Assessment in Sudan". Map prepared as part of three reports that detail the results of a poverty assessment and mapping projec...
Nov 5, 2025 - Scaling-up of proven technological packages
Dessalegn, Bezaiet, 2016, "2016 Indicators for WLI - FTF Monitoring System", https://hdl.handle.net/20.500.11766.1/FK2/HKYRDC, MELDATA, V11
The dataset contains the values of the Feed the Future indicators for 2016, organized by country: Egypt, Iraq, Jordan, Lebanon, Palestine, Tunisia and Yemen.
Nov 5, 2025 - Big Data and ICT
De Pauw, Eddy; Atassi, Layal; Tulaymat, Mohammad Fawaz; Nseir, B., 2019, "End Of The Moisture-limited Growing Period", https://hdl.handle.net/20.500.11766.1/FK2/L2LUBS, MELDATA, V9
Data for characterization of Central Asia climatic conditions. End of the moisture-limited growing period was calculated by using interpolated raster from climatic stations using CLIMAP tool developed at ICARDA.
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