Metrics
96,810 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

541 to 550 of 4,810 Results
Modifying a Rift Valley fever vaccination campaign in Isiolo County, Kenya to reduce gendered barriers to accessing livestock vaccines
Jan 26, 2026 - International Livestock Research Institute
Campbell, Zoe; Bett, Bernard; Abdi, Adan; Guyo, Boru; Mwongela, Dennis, 2024, "Modifying a Rift Valley fever vaccination campaign in Isiolo County, Kenya to reduce gendered barriers to accessing livestock vaccines", https://hdl.handle.net/20.500.11766.1/FK2/ZF0SFN, MELDATA, V9
This research activity tested gender-responsive modifications to an Rift Valley fever vaccination campaign in Isiolo County, Kenya with the goal of reducing barriers for women who want to vaccinate their livestock.
RVF_Campaign_Gender_Dataset.xls
Jan 26, 2026 - Modifying a Rift Valley fever vaccination campaign in Isiolo County, Kenya to reduce gendered barriers to accessing livestock vaccines
MS Excel Spreadsheet - 548.5 KB - MD5: 7c366f2ae17175465dc60f50aea6fbbb
RVF_Campaign_Gender_Data_dictionary.docx
Jan 26, 2026 - Modifying a Rift Valley fever vaccination campaign in Isiolo County, Kenya to reduce gendered barriers to accessing livestock vaccines
MS Word - 16.6 KB - MD5: b4b4057218b8790f9543241f5e2d1f75
RVF_Vaccination_Campaign_ODK_Tool.xlsx
Jan 26, 2026 - Modifying a Rift Valley fever vaccination campaign in Isiolo County, Kenya to reduce gendered barriers to accessing livestock vaccines
MS Excel Spreadsheet - 27.0 KB - MD5: 245d2b08d82a6808606fd6a680189c61
GBS data on ILRI's Rhodes grass collection
Jan 21, 2026 - International Livestock Research Institute
Muktar, Meki; Negawo, Alemayehu Teressa, 2025, "GBS data on ILRI's Rhodes grass collection", https://hdl.handle.net/20.500.11766.1/FK2/R8MUCH, MELDATA, V1
The dataset contains high density genome-wide SNP markers on 320 Rhodes grass samples conserved in the ILRI forage genebank. The markers data are useful for genetic diversity analysis, marker assisted selection, genomic selection, and QTL identification in Rhodes grass.
Report_DChl23_8684_2_moreOrders_SNP_2_rows.csv
Jan 21, 2026 - GBS data on ILRI's Rhodes grass collection
Comma Separated Values - 241.3 MB - MD5: f174e8b9650f3ab3f60d9f67fa648b30
CRP Livestock Vietnam Priority Country - RHoMIS Baseline Survey
CRP Livestock Vietnam Priority Country - RHoMIS Baseline Survey
Jan 14, 2026 - CRP Livestock Country Priority Project - Vietnam
Hammond, James; Tu, Mai; Teufel, Nils; Wijk, Mark van; Douxchamps, Sabine, 2021, "CRP Livestock Vietnam Priority Country - RHoMIS Baseline Survey", https://hdl.handle.net/20.500.11766.1/FK2/DXSTG9, MELDATA, V8
A characterisation and baseline survey of smallholder farmers undertaken at the start of the Livestock CRP Vietnam Priority Country project.
CRP Livestock Vietnam Priority Country - RHoMIS COVID19 Survey
CRP Livestock Vietnam Priority Country - RHoMIS COVID19 Survey
Jan 14, 2026 - CRP Livestock Country Priority Project - Vietnam
Hammond, James; Tu, Mai; Teufel, Nils; Wijk, Mark van; Douxchamps, Sabine, 2021, "CRP Livestock Vietnam Priority Country - RHoMIS COVID19 Survey", https://hdl.handle.net/20.500.11766.1/FK2/DFOPO7, MELDATA, V9
A survey of the impacts and recovery from those impacts due to COVID19 and the related control measures conducted in the research sites of the CRP Livestock Vietnam Priority Country.
Notes_pdf.zip
Jan 12, 2026 - Qualitative data on social and gender norms in Tanzania’s dairy and poultry value chains collected under the SAPLING initiative
ZIP Archive - 29.0 MB - MD5: 3e4f995c81076e6f74b103028045cec4
10_livestock_volumes.csv
Jan 8, 2026 - KAZNET Sentinel Zones Longitudinal High Frequency Crowdsourced Data
Comma Separated Values - 891.5 KB - MD5: a0bc23024e489c1ccf01841697179aba
6. Raw and verified data
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.