Metrics
7,703 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 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 446 Results
Mar 27, 2023 - Collect, Conserve and Use Agricultural Biodiversity
Tadesse, Wuletaw, 2023, "Wheat Rust Field Trial in Ethiopia - July 2015 - July 2016 - Nursery Data", https://hdl.handle.net/20.500.11766.1/FK2/P4PRRJ, MELDATA, V1
The datasets contains the responses of resistant wheat genotypes to rusts under field conditions and seedling tests in various location in Ethiopia during 2015 summer season, and 2016 off-season.
Mar 23, 2023 - Collect, Conserve and Use Agricultural Biodiversity
Nazari, Kumarse; El Amil, Rola; Al-Jaboobi, Muamar; Maafa, Ilyass; Kemal, Seid Ahmed; Ramdani, Abdelhamid; Ibriz, Hafid; SBAI, Ibtihel; Ramdhane, Nasraoui; Abdsattar, Bouslimi, 2023, "PHI in country cereal rust survey data - Lebanon, Morocco and Tunisia 2022", https://hdl.handle.net/20.500.11766.1/FK2/6LFZ4Q, MELDATA, V1
The dataset is about the surveillance and monitoring of the cereal rust diseases in Lebanon, Morocco, and Tunisia in 2022. Rust surveillance was carried out in farmer’s fields and research stations using the BGRI rust surveillance form. Geo-referenced information, crop phenology,...
Mar 23, 2023 - Senegal Dairy Genetics (SDG)
Marshall, Karen; Baltenweck, Isabelle; Poole, Elizabeth; Tebug, Stanly, 2023, "Senegal Dairy Genetics (SDG) Project - Transhumance Survey", https://hdl.handle.net/20.500.11766.1/FK2/II6QXV, MELDATA, V3
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...
Mar 23, 2023 - Senegal Dairy Genetics (SDG)
Marshall, Karen; Baltenweck, Isabelle; Poole, Elizabeth; Tebug, Stanly, 2023, "Senegal Dairy Genetics (SDG) Project - Longitudinal Monitoring Survey", https://hdl.handle.net/20.500.11766.1/FK2/JVXRZD, MELDATA, V2
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...
Mar 23, 2023 - Senegal Dairy Genetics (SDG)
Marshall, Karen; Poole, Elizabeth; Baltenweck, Isabelle; Tebug, Stanly, 2023, "Senegal Dairy Genetics (SDG) Project - Household Baseline Survey", https://hdl.handle.net/20.500.11766.1/FK2/RTU36D, MELDATA, V3
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...
Mar 22, 2023 - International Livestock Research Institute
Wieland, Barbara; Alemu, Biruk; Dione, Michel; Magnusson, Ulf; Amenu, Kebede; Desta, Hiwot; Alemayehu, Gezahegn, 2023, "Antimicrobial use in smallholder livestock systems in Ethiopia (AMUSE)", https://hdl.handle.net/20.500.11766.1/FK2/PMY7KZ, MELDATA, V1
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...
Mar 22, 2023 - International Livestock Research Institute
Mtimet, Nadhem; Wanyoike, Francis; Mugunieri, Lawrence; Ndiwa, Nicholas; Warsame, Ahmed; Marshall, Karen, 2023, "Reducing Vulnerability of Somali Communities by Raising the Capacity of Indigenous Systems and Enhancing Market Access and Consumer Welfare: Knowledge of livestock grading and market participation among small ruminant producers in northern Somalia", https://hdl.handle.net/20.500.11766.1/FK2/B9E1LJ, MELDATA, V1
This activity focused on market participation and producer's knowledge of the indigenous livestock grading and pricing system applied to small ruminant marketing in Somaliland. Data were collected from a random sample of 143 men and women producers in three livelihood zones: Hawd...
Mar 20, 2023 - Sustainable use and management of scarce water and land resources
Awan, Usman, 2020, "Actual evapotranspiration maps for the Nile delta on monthly and annual basis from 2014 to 2019", https://hdl.handle.net/20.500.11766.1/FK2/GLEBRR, MELDATA, V3
The dataset is composed by a series of evapotranspiration maps on monthly and annual basis from 2014 to 2019 along with frequency distribution of annual ET in Nile delta. There is also a comparison between the SEBAL estimated and Eddy Covariance measured ET for validation purpose...
Mar 20, 2023 - Sustainable use and management of scarce water and land resources
Anarbekov, Oyture, 2019, "Survey data collected for 3 case study pilot water users' associations (WUAs) of Fergana Valley", https://hdl.handle.net/20.500.11766.1/FK2/ULVHNE, MELDATA, V2
The present work consists of in-depth survey data, collected from a pilot WUAs in Ferghana Valley.
Mar 20, 2023 - Sustainable use and management of scarce water and land resources
Awan, Usman, 2020, "Water productivity and biomass maps of Nile Delta from 2014 to 2019", https://hdl.handle.net/20.500.11766.1/FK2/IVTD5U, MELDATA, V3
The dataset is composed by a series of maps from 2014 to 2019 on biomass and water productivity for the entire Nile delta. The dataset includes also frequency distribution of water productivity and biomass. All files are stored in TIF format.
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.