Metrics
99,100 Downloads
Contact Share

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.

Citation Requirements

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.

Disclaimer

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.

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 10 of 643 Results
Antimicrobial Use and Resistance in poultry, cattle and fish production systems in Benin
Jun 18, 2026 - 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, V8
Assess knowledge attitude and practice of farmers about antimicrobial use and determine resistance profiles of Salmonella and Campylobacter, two commonly used antibiotics
Antimicrobial use in smallholder livestock systems in Ethiopia (AMUSE)
Jun 18, 2026 - International Livestock Research Institute
Wieland, Barbara; Alemu, Biruk; Dione, Michel; Magnusson, Ulf; Amenu, Kebede; Desta, Hiwot; Alemayehu, Gezahegn, 2021, "Antimicrobial use in smallholder livestock systems in Ethiopia (AMUSE)", https://hdl.handle.net/20.500.11766.1/FK2/PMY7KZ, MELDATA, V17
The aim of this project was to develop a tool (AMUSE) to understand knowledge, attitudes and practices of smallholder farmers regarding antimicrobial use, antimicrobial resistance and the presence of residues of antimicrobials. It also documents drivers of behaviour for AMU, iden...
Smallholder Pig Value Chains Development (SPVCD) and Safe Food Fair Food (SFFF) Project - Household level and pig bio data
Smallholder Pig Value Chains Development (SPVCD) and Safe Food Fair Food (SFFF) Project - Household level and pig bio data
Jun 18, 2026 - International Livestock Research Institute
Pezo, Danilo; Grace, Delia; Dione, Michel; Roesel, Kristina; Kungu, Joseph; Erume, Joseph; Akol, Joyce; Musewa, Angella, 2016, "Smallholder Pig Value Chains Development (SPVCD) and Safe Food Fair Food (SFFF) Project - Household level and pig bio data", https://hdl.handle.net/20.500.11766.1/FK2/FCY5KW, MELDATA, V9
SPVCD aims to increase the productivity of small-scale pig systems in sustainable ways, making meat more available and affordable to poor consumers across Uganda & SFFF is working to improve the livelihoods of the poor by reducing the health risks associated with pig-sourced food...
People, Animals and their Zoonoses - The Influence of Socio-economic, Behavioural and Environmental Factors on Taenia spp
Jun 18, 2026 - International Livestock Research Institute
Fevre, Eric; Wardrop, Nicola; Thomas, Lian; Atkinson, Peter; de Glanville, William; Cook, Elizabeth Anne; Wamae, Claire; Gabriël, Sarah; Dorny, Pierre; Harrison, Leslie, 2015, "People, Animals and their Zoonoses - The Influence of Socio-economic, Behavioural and Environmental Factors on Taenia spp", https://hdl.handle.net/20.500.11766.1/FK2/V043CK, MELDATA, V9
This project deals with zoonotic infections amongst livestock and the farmers who keep them. Zoonotic diseases are infections transmitted between animals and humans; they are a major group of pathogens (approximately 60% of all human-infective organisms), with a diversity of anim...
Rahba Potential Hot-spots Of Red Palm Weevil (RPW) Risk Based On Trap-data 2015
Jun 18, 2026 - 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 2015", https://hdl.handle.net/20.500.11766.1/FK2/BAJANA, MELDATA, V14
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 9 Years Out Of 10
Jun 18, 2026 - 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, V15
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...
Annual Rainfall Likely To Be Exceeded In 4 Years Out Of 5
Jun 18, 2026 - Big Data and ICT
De Pauw, Eddy; Atassi, Layal, 2019, "Annual Rainfall Likely To Be Exceeded In 4 Years Out Of 5", https://hdl.handle.net/20.500.11766.1/FK2/LGJ9Q1, MELDATA, V10
Annual rainfall likely to be exceeded in 4 years out of 5, 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...
Annual Rainfall Likely To Be Exceeded In 1 Year Out Of 2
Jun 18, 2026 - 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, V13
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...
Rahba Potential Hot-spots Of Red Palm Weevil (RPW) Risk Based On Trap-data 2016
Jun 18, 2026 - 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 2016", https://hdl.handle.net/20.500.11766.1/FK2/CS0SOE, MELDATA, V14
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...
Al_Khattem Potential Hot-spots Of Red Palm Weevil (RPW) Risk Based On Trap-data 2016
Jun 18, 2026 - 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 2016", https://hdl.handle.net/20.500.11766.1/FK2/EY1UHA, MELDATA, V16
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...
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.