Metrics
91,917 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

1,801 to 1,810 of 4,779 Results
Shapefile as ZIP Archive - 8.0 KB - MD5: ba039430e6d46b0eaf04d25e77b22f95
Shapefile as ZIP Archive - 6.4 KB - MD5: 3b305f88721e9ea4f81ec8eedfb2a0b8
Shapefile as ZIP Archive - 3.6 KB - MD5: 82e5c5324f9e371f3a79e6ea5fde4820
Comma Separated Values - 427 B - MD5: 06116973327207db0b42c8415fb7e10b
Feb 1, 2023 - Dairy Genetics East Africa (DGEA)
Gibson, John Paul; Mwai, Ally Okeyo; Ojango, Julie; Baltenweck, Isabelle; Rao, James; Mujibi, Dennis; Poole, Elizabeth; Kemp, Steve; Mrode, Raphael, 2023, "Germplasm for Dairy Development in East Africa. Phase I: Identifying appropriate germplasm and delivery mechanisms (DGEA1) - Signature of Selection & GWAS data used in Aliloo et al 2020", https://hdl.handle.net/20.500.11766.1/FK2/P5BOX7, MELDATA, V4
DGEA will determine what are the most appropriate genotypes for the range of dairy production systems and levels of production operated by small-holder farmers in East Africa, and how these genotypes can be delivered to small-holders. The project partners will apply high density...
Adobe PDF - 109.2 KB - MD5: e4a0544740c7ce2bcc63731cc4a19db3
Jan 31, 2023 - International Livestock Research Institute
Marshall, Karen; Hanotte, Olivier; Tijjani, Abdulfatai, 2023, "Genomics Reference Resource for African Cattle (GRRFAC)", https://hdl.handle.net/20.500.11766.1/FK2/NEHH3Q, MELDATA, V1
The Genomic Reference Resource for African Cattle (GRRFAC) initiative is aiming at harnessing the genetic resources of indigenous cattle breeds across Africa. These resources are yet to be tapped and are prerequisite for a complete characterization of local breeds diversity towar...
ZIP Archive - 104.6 KB - MD5: bae91db95cec1b74c09112fb54f753c2
Jan 29, 2023 - Dairy Genetics East Africa (DGEA)
Gibson, John Paul; Mwai, Ally Okeyo; Ojango, Julie; Baltenweck, Isabelle; Rao, James; Mujibi, Dennis; Poole, Elizabeth; Kemp, Steve, 2023, "Germplasm for Dairy Development in East Africa. Phase I: Identifying appropriate germplasm and delivery mechanisms (DGEA1) - Baseline Survey", https://hdl.handle.net/20.500.11766.1/FK2/0NCKCK, MELDATA, V1
DGEA will determine what are the most appropriate genotypes for the range of dairy production systems and levels of production operated by small-holder farmers in East Africa, and how these genotypes can be delivered to small-holders. The project partners will apply high density...
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.