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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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271 to 280 of 607 Results
Spatial data from Aral Sea region on canals, roads, drainage, crop fields and wells
Mar 27, 2025 - Big Data and ICT
Kosimov, Sherzod, 2015, "Spatial data from Aral Sea region on canals, roads, drainage, crop fields and wells", https://hdl.handle.net/20.500.11766.1/FK2/ICTJMI, MELDATA, V5
The dataset is composed by six shape files containing spatial data of the Aral Sea region including canals, crop fields, drainage, road lines, and wells
Antimicrobial Use and Resistance in poultry, cattle and fish production systems in Benin
Mar 27, 2025 - International Livestock Research Institute
Dione, Michel; Moodley, Arshnee; Djouaka, Rousseau, 2021, "Antimicrobial Use and Resistance in poultry, cattle and fish production systems in Benin", https://hdl.handle.net/20.500.11766.1/FK2/Y6R6RC, MELDATA, V4
Assess knowledge attitude and practice of farmers about antimicrobial use and determine resistance profiles of Salmonella and Campylobacter, two commonly used antibiotics
Annual Rainfall Likely To Be Exceeded In 2 Years Out Of 3
Mar 24, 2025 - Big Data and ICT
De Pauw, Eddy; Atassi, Layal, 2019, "Annual Rainfall Likely To Be Exceeded In 2 Years Out Of 3", https://hdl.handle.net/20.500.11766.1/FK2/X3BWKV, MELDATA, V5
Annual rainfall likely to be exceeded in 2 years out of 3, 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 project...
Climate Productivity Index (Crop Group III, Rainfed)
Mar 24, 2025 - Big Data and ICT
De Pauw, Eddy; Atassi, Layal; Tulaymat, Mohammad Fawaz; Nseir, B., 2019, "Climate Productivity Index (Crop Group III, Rainfed)", https://hdl.handle.net/20.500.11766.1/FK2/H9JU6P, MELDATA, V5
Data for characterization of Central Asia climatic conditions. Climate Productivity Index (Crop Group III, Rainfed) was calculated by using interpolated raster from climatic stations using CLIMAP tool developed at ICARDA.
Al_Khattem Potential Hot-spots Of Red Palm Weevil (RPW) Risk Based On Trap-data 2014
Mar 24, 2025 - Big Data and ICT
Atassi, Layal; Al-Shamaa, Khaled; Biradar, Chandrashekhar, 2018, "Al_Khattem Potential Hot-spots Of Red Palm Weevil (RPW) Risk Based On Trap-data 2014", https://hdl.handle.net/20.500.11766.1/FK2/V7YTW3, MELDATA, V8
The layer was part of Enhancing date palm integrated pest management and agricultural extension and technology transfer systems in Abu Dhabi project, the layer was generated from survey information on date palm in Abu Dhabi obtained from Abu Dhabi Farmers Services Center. The tra...
Annual Rainfall Likely To Be Exceeded In 3 Years Out Of 4
Mar 24, 2025 - Big Data and ICT
De Pauw, Eddy; Atassi, Layal, 2019, "Annual Rainfall Likely To Be Exceeded In 3 Years Out Of 4", https://hdl.handle.net/20.500.11766.1/FK2/2WOQVJ, MELDATA, V7
Annual rainfall likely to be exceeded in 3 years out of 4, 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 project...
Genotype x Environment x Management for wheat in drylands
Mar 24, 2025 - Sustainable use and management of scarce water and land resources
Devkota Wasti, Mina; Nangia, Vinay, 2021, "Genotype x Environment x Management for wheat in drylands", https://hdl.handle.net/20.500.11766.1/FK2/UVERUW, MELDATA, V6
The dataset contains genotype and crop management data for wheat yield for four different growing season. The experiment was carried out in ICARDA Research station in Merchouch, Morocco (Geo-location: 33°36′41′′N, 6°42′45′′W, 390 m.a.s.l.).
Annual Rainfall Likely To Be Exceeded In 1 Year Out Of 2
Mar 24, 2025 - Big Data and ICT
De Pauw, Eddy; Atassi, Layal, 2019, "Annual Rainfall Likely To Be Exceeded In 1 Year Out Of 2", https://hdl.handle.net/20.500.11766.1/FK2/85RZD9, MELDATA, V6
Annual rainfall likely to be exceeded in 1 year out of 2, 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 project...
Characterization of crop fallows for agricultural intensification, length of crop fallows duration between two crops in one year in Eastern Gangetic plains from 2000 to 2014
Mar 24, 2025 - Big Data and ICT
Biradar, Chandrashekhar, 2015, "Characterization of crop fallows for agricultural intensification, length of crop fallows duration between two crops in one year in Eastern Gangetic plains from 2000 to 2014", https://hdl.handle.net/20.500.11766.1/FYTDWG, MELDATA, V9
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...
Rahba Potential Hot-spots Of Red Palm Weevil (RPW) Risk Based On Trap-data 2014
Mar 24, 2025 - Big Data and ICT
Atassi, Layal; Al-Shamaa, Khaled; Biradar, Chandrashekhar, 2018, "Rahba Potential Hot-spots Of Red Palm Weevil (RPW) Risk Based On Trap-data 2014", https://hdl.handle.net/20.500.11766.1/FK2/SFF71X, MELDATA, V9
The layer was part of enhancing date palm integrated pest management and agricultural extension and technology transfer systems in Abu Dhabi project, the layer was generated from survey information on date palm in Abu Dhabi obtained from Abu Dhabi Farmers Services Center. The tra...
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