Metrics
90,772 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

531 to 540 of 601 Results
Jun 19, 2024 - International Livestock Research Institute
Dione, Michel; Oba, Peter; Wieland, Barbara; Ouma, Emily, 2021, "Epidemiology of Respiratory Diseases: Impact on Smallholder Pig Production Systems in Uganda (Pig multipathogen survey and disease impact - Lira district)", https://hdl.handle.net/20.500.11766.1/FK2/D7L4D1, MELDATA, V1
Knowledge of epidemiology of circulating respiratory pathogens, their impacts on pig productivity and genetic diversity in Uganda is limited or lacking. Thus, identifying circulating pathogens, risk factors for their occurrence and determining their genetic diversity in pig popul...
Jun 19, 2024 - International Livestock Research Institute
Woolhouse, Mark; Bronsvoort, Barend Mark de Clare; Toye, Philip; Kiara, Henry Kimathi; Poole, Elizabeth; Mbole-Kariuki, Ndila; Njiiri, Evalyne, 2015, "Infection dynamics and disease burden of East African cattle (IDEAL)", https://hdl.handle.net/20.500.11766.1/FK2/B1GWDC, MELDATA, V1
IDEAL was a multi-disciplinary study addressing two main issues: 1) the widely recognised lack of baseline epidemiological data on the dynamics and impacts of infectious diseases of cattle in the tropics; and 2) improving understanding of interactions between multiple infections...
Apr 30, 2024 - Collect, Conserve and Use Agricultural Biodiversity
Kehel, Zakaria; Street, Kenneth; Amri, Ahmed, 2017, "2017 ICARDA Barley Net Form and Spot Blotch FIGS Subset", https://hdl.handle.net/20.500.11766.1/J24MBP, MELDATA, V5
The FIGSICBNetFormSpotBlotch2017 set was constructed using evaluation data from more than 875 Barley accessions (http://dx.doi.org/10.1094/PHYTO-04-14-0107-R) and machine learning algorithms including Random Forest, support vector machine and kernel nearest neighbors, and using d...
Apr 30, 2024 - Collect, Conserve and Use Agricultural Biodiversity
Kehel, Zakaria; Street, Kenneth, 2017, "2017 ICARDA Durum Wheat Crown Rot FIGS Subset", https://hdl.handle.net/20.500.11766.1/RSJ7SV, MELDATA, V5
The FIGS_ICDW_CrownRot_2017 FIGS set was created using the Focused Identification of Germplasm Strategy FIGS (http://figs.icarda.org). We used the FAO's harmonized soil database to construct this set. Furthermore, WorldClim data was used to maximize the climatic diversity within...
Apr 25, 2024 - International Livestock Research Institute
Madjdian, Donya; Van Asseldonk, Marcel; Talsma, Elise; Amenu, Kebede; Alemu, Biruk; Girma, Sisay; Roesel, Kristina; Grace, Delia; Knight-Jones, Theodore; de Vet, Emely, 2023, "Pull-Push Project: Incentivizing food safety in urban informal markets in Sub-Saharan Africa. Consumer Panel Surveys - Dire Dawa and Harar, Ethiopia.", https://hdl.handle.net/20.500.11766.1/FK2/TEXYQ5, MELDATA, V4
Two-wave panel consumer survey (baseline pre-intervention and endline post-intervention), sample size = 765. Baseline was conducted from February to March 2022, Endline was conducted from January to February 2023. The intervention was a consumer behavior change campaign to empowe...
Apr 24, 2024 - MoreMilkIT
Omore, Amos; Baltenweck, Isabelle; Salas, Paula; Galiè, Alessandra; girard webb, Amy; Barasa, Violet; Githinji, Julius; Kariuki, Eunice, 2016, "MoreMilkIT - Food Demand and Individual Dietary Diversity and Women's Empowerment in Livestock Index (WELI) in Tanzania", https://hdl.handle.net/20.500.11766.1/FK2/NIUCJU, MELDATA, V1
More milk by and for the poor: Adapting dairy market hubs for pro-poor smallholder value chains in Tanzania (MoreMilkIT) The MoreMilkiT project aims to achieve inclusive growth and reduced poverty and vulnerability among people with dairy- dependent livelihoods in selected rural...
Apr 24, 2024 - MoreMilkIT
Omore, Amos; Rao, James; Twine, Edgar; Githinji, Julius; Baltenweck, Isabelle; Kariuki, Eunice, 2016, "MoreMilkIT - Monitoring Survey in Tanzania", https://hdl.handle.net/20.500.11766.1/FK2/QKDPOT, MELDATA, V1
More milk by and for the poor: Adapting dairy market hubs for pro-poor smallholder value chains in Tanzania (MoreMilkIT) The MoreMilkiT project aims to achieve inclusive growth and reduced poverty and vulnerability among people with dairy- dependent livelihoods in selected rural...
Apr 24, 2024 - Senegal Dairy Genetics (SDG)
Marshall, Karen; Poole, Elizabeth; Baltenweck, Isabelle; Tebug, Stanly, 2014, "Senegal Dairy Genetics (SDG) Project - Household Baseline Survey", https://hdl.handle.net/20.500.11766.1/FK2/RTU36D, MELDATA, V4
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...
Apr 24, 2024 - Senegal Dairy Genetics (SDG)
Marshall, Karen; Baltenweck, Isabelle; Poole, Elizabeth; Tebug, Stanly, 2014, "Senegal Dairy Genetics (SDG) Project - Adult Female Survey", https://hdl.handle.net/20.500.11766.1/FK2/G4HFVQ, 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...
Apr 24, 2024 - Senegal Dairy Genetics (SDG)
Marshall, Karen; Baltenweck, Isabelle; Poole, Elizabeth; Tebug, Stanly, 2014, "Senegal Dairy Genetics (SDG) Project - Transhumance Survey", https://hdl.handle.net/20.500.11766.1/FK2/II6QXV, MELDATA, V5
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.