Metrics
91,605 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

681 to 690 of 4,747 Results
Nov 5, 2025 - International Livestock Research Institute
Schieck, Elise; Jores, Joerg; Liljander, Anne; Sacchini, Flavio; Frey, Joachim, 2020, "Development of improved vaccines against CCPP", https://hdl.handle.net/20.500.11766.1/FK2/3DMZRU, MELDATA, V4
Generation and sequencing of putatively attenuated mutants of Mccp strain ILRI181. Mutants can be used by scientists to understand function of genes that have been targeted.
Nov 5, 2025 - Index-Based Livestock Insurance (IBLI)
Alulu, Vincent; Jensen, Nathaniel; Ikegami, Munenobu, 2023, "Index Based Livestock Insurance (IBLI) Marsabit Household Survey", https://hdl.handle.net/20.500.11766.1/FK2/S19DC6, MELDATA, V8
These data contain seven rounds of a longitudinal, socio-economic survey of 924 pastoral households from Marsabit County Kenya, collected between 2010 and 2020. Data collection was made possible, in part, by support provided by the generous funding of the UK Department for Intern...
Nov 5, 2025 - CGIAR Research Program on Livestock
Swain, Braja; Teufel, Nils; Rahman, Habibar; Lukuyu, Ben, 2020, "Livestock household census survey in Odisha, India", https://hdl.handle.net/20.500.11766.1/FK2/G7LXZN, MELDATA, V7
These data contain one round cross section, livestock assets survey of 75146 households from Odisha, India collected between 2017 and 2018.
Nov 5, 2025 - CGIAR Research Program on Livestock and Fish
Tegegne, Azage; Berhanu, Gebremedhin, 2015, "LIVES - Baseline Socio-economic Survey", https://hdl.handle.net/20.500.11766.1/FK2/BOODVT, MELDATA, V10
LIVES is an initiative designed by the International Livestock Research Institute (ILRI), the International Water Management Institute (IWMI) and their national partners to build upon the success of the Canadian International Development Agency-funded project, Improving Productiv...
Nov 5, 2025 - International Livestock Research Institute
Crane, Todd; Kihoro, Esther; Vernooij, Vera; Hawkins, James, 2018, "Political Economy of Low Greenhouse Gas Emission Dairy Development in Kenya and Tanzania (Greening Livestock) - Socio-economic survey", https://hdl.handle.net/20.500.11766.1/FK2/0BS7XW, MELDATA, V11
Project: Political Economy of Low Greenhouse Gas Emission Dairy Development in Kenya and Tanzania. The objective of this survey was to investigate incentive based interventions for reducing the climate impact of livestock in Kenya and Tanzania. Surveys were conducted in 350 dairy...
Nov 5, 2025 - International Livestock Research Institute
Ouma, Emily; Pezo, Danilo; Dione, Michel; Lukuyu, Ben; Marshall, Karen; Lule, Peter; Asiimwe, Grace; Opio, Felix; Kawuma, Brian; Kariuki, Eunice, 2015, "MorePork - Study: Food Demand and Nutrition Cross-Sectional Survey", https://hdl.handle.net/20.500.11766.1/FK2/SDUI0N, MELDATA, V7
MorePork: More pork by and for the poor: Catalyzing emerging smallholder pig value chains in Uganda for food security and poverty reduction The project seeks to test and pilot best bet options to improve on-farm productivity, household nutrition and pork safety in the marketing c...
Nov 5, 2025 - CRP Livestock Country Priority Project - Uganda
Oba, Peter; Doyle, Rebecca; Nsadha, Zachary; Kassahun, Amare; Dione, Michel, 2021, "Pig Welfare Baseline Survey in MorePork II Sites (2021)", https://hdl.handle.net/20.500.11766.1/FK2/HYEIEI, MELDATA, V10
The project, “Improving pig productivity and incomes through an environmentally sustainable and gender-inclusive integrated intervention package (MorePork II)” is a 3-year project (2019-2021) that aims at strengthening market linkages to incentivise the adoption of an integrated...
Nov 5, 2025 - International Livestock Research Institute
Lecoutere, Els; Akhter, Sadika; Puskur, Ranjitha; Mishra, Avni; Reidpath, Daniel D; Rahman, Aminur; Singaraju, Niyati; Hanifi, Manzoor A; Kamruzzaman, Mohammed, 2023, "Situational Analysis of Climate Change-Agriculture-Gender Inequality Hotspots in Bangladesh", https://hdl.handle.net/20.500.11766.1/FK2/OOPNIY, MELDATA, V9
The goal of the situational analysis was to validate a prior geospatial mapping of subnational hotspots in Bangladesh, where women in agricultural and food systems are at the most risk of the impacts of gender inequality and climate change. The study identifies areas where decisi...
Nov 5, 2025 - 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, V12
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...
Nov 5, 2025 - Building resilient integrated crop-livestock farming systems
Toderich, Kristina, 2015, "Vegetation inventory on different land categories in Karauzyak district in July 2015", https://hdl.handle.net/20.500.11766.1/FK2/I8ISJQ, MELDATA, V5
The dataset describes the abundance of most important vegetation types on different land categories collected in a field mission in July 2015 in Karabuga village and Koybak Shirkat, Karauzyak district (more data will be added)
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.