Metrics
88,378 Downloads

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

501 to 510 of 599 Results
Mar 27, 2025 - International Livestock Research Institute
Marshall, Karen; Babigumira, Brian; Ouma, Emily; Lule, Peter; Rutto, Erick; Wurzinger, Maria; Sölkner, Johann, 2018, "Using genomics as a decision support tool for smallholder pig enterprises in Uganda (UPG)", https://hdl.handle.net/20.500.11766.1/FK2/RUZHKD, MELDATA, V4
The study applies system analysis methods to smallholder pig enterprises in two districts of Uganda to collect and analyse primary data on household demographic characteristics, pig production and management practices, ownership and control of household assets and livelihoods., T...
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
Mar 24, 2025 - Collect, Conserve and Use Agricultural Biodiversity
El Bouhssini, Mustapha; Sayadi, Ziyad; Parker, Bruce L.; Skinner, Margaret; Reid, Bill; Abdel Hay, Mohamed, 2004, "IPM of insect pests - Sunn pest project: Insect-killing fungi persistence and efficacy trials - Data Mortality and Outgrowth", https://hdl.handle.net/20.500.11766.1/FK2/MMOG3R, MELDATA, V4
Datasets of Integrated Pest management (IPM) of Insect Pests - Sunn Pest Project: Persistence of insect-killing fungi in Sunn Pest in overwintering sites (ICARDA's GERMPLASM PROGRAM (Entomology)).
Mar 24, 2025 - Collect, Conserve and Use Agricultural Biodiversity
El Bouhssini, Mustapha; Rihawi, Fawzi; Abdalla, Osman, 2001, "IPM of insect pests - Hessian Fly project: Screening of bread wheat for resistance to Hessian fly experiment 2001", https://hdl.handle.net/20.500.11766.1/FK2/DBFMYS, MELDATA, V4
Datasets of Integrated Pest management (IPM) of Insect Pests - Hessian Fly Project: screening of bread wheat lines for resistance to Hessian fly experiment 2001 (ICARDA's GERMPLASM PROGRAM (Entomology)). The objective is to identify sources of resistance in bread wheat to Hessian...
Mar 24, 2025 - Big Data and ICT
Biradar, Chandrashekhar, 2015, "Vegetation dynamics in central Asia: Enhanced Vegetation Index 2000-2014", https://hdl.handle.net/20.500.11766.1/FK2/F4DCR8, MELDATA, V5
Enhanced Vegetation Index (EVI) derived from modis time-series satellite data at 8 days interval from 2000-2014
Mar 24, 2025 - Collect, Conserve and Use Agricultural Biodiversity
El Bouhssini, Mustapha; Dabous, Asma; Rihawi, Fawzi; Abdalla, Osman; Valkoun, Jan; Porter, Dave, 2003, "IPM of insect pests - Russian Wheat Aphid project: Evaluation of bread wheat for Russian wheat aphid resistance experiment 2003", https://hdl.handle.net/20.500.11766.1/FK2/STOY8U, MELDATA, V3
Datasets of Integrated Pest management (IPM) of Insect Pests - Russian Wheat Aphid Project: evaluation of bread wheat for resistance to Russian wheat aphid experiment 2003 (ICARDA's GERMPLASM PROGRAM (Entomology)). The objective is to identify sources of resistance in bread wheat...
Mar 24, 2025 - Big Data and ICT
Biradar, Chandrashekhar, 2015, "Central Asia and NW China relative change in annual mean precipitation 2020s_A1b", https://hdl.handle.net/20.500.11766.1/FK2/184AQQ, MELDATA, V4
Central Asia and North-West China (Xingjiang province) relative change in annual mean precipitation in 2020 according to IPCC near-term climate change scenario A1b
Mar 24, 2025 - Big Data and ICT
Biradar, Chandrashekhar, 2015, "Central Asia and NW China annual average of monthly maximum temperature 2020s_A2", https://hdl.handle.net/20.500.11766.1/FK2/L5PTRP, MELDATA, V5
Central Asia and North-West China (Xingjiang province) annual average of monthly maximum temperature in 2020 according to IPCC near-term climate change scenario A2
Mar 24, 2025 - Big Data and ICT
Biradar, Chandrashekhar, 2015, "Central Asia and NW China annual mean precipitation 2020s_A1b", https://hdl.handle.net/20.500.11766.1/FK2/TQT6OS, MELDATA, V5
Central Asia and North-West China (Xingjiang province) annual mean precipitation in 2020 according to IPCC near-term climate change scenario A1b
Mar 24, 2025 - Senegal Dairy Genetics (SDG)
Marshall, Karen; Baltenweck, Isabelle; Poole, Elizabeth; Tebug, Stanly, 2014, "Senegal Dairy Genetics (SDG) Project - Longitudinal Monitoring Survey", https://hdl.handle.net/20.500.11766.1/FK2/JVXRZD, MELDATA, V6
The project “Improved food and nutritional security from better utilisation of dairy cattle breed-types types in Senegal” (SDG), is led by the International Livestock Research Institute (ILRI), in partnership with the the Interstate School of Veterinary science and Medicine of Da...
Add Data

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

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.