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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.

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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.

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511 to 520 of 4,473 Results
Oct 23, 2024 - International Livestock Research Institute
Wieland, Barbara; Mulema, Annet; Kinati, Wole; Woldegiorgis, Mamusha; Mekonnen, Mesfin; Alemu, Biruk; Desta, Hiwot; Demeke, Yifru; Elias, Belay, 2020, "Transforming Gender Relations and Reducing Risk of Zoonotic Diseases among Small Ruminant Farmers in the Highlands of Ethiopia", https://hdl.handle.net/20.500.11766.1/FK2/KW0JJI, MELDATA, V2
Community conversations were piloted in four villages located in three woredas (districts) of Ethiopia - Doyogena district in Southern Nations, Nationalities, and Peoples’ Region (SNNPR), Menz Gera Midir, and Menz Mama Midir (referred to as Menz districts) in the Amhara region. T...
Oct 23, 2024 - International Livestock Research Institute
Alinaitwe, Lordrick; Kivali, Velma; Aturinda, Christopher; Bugeza, James; Wainaina, Martin; Richter, Martin; Hoona, Jolly; Roesel, Kristina; Mayer-Scholl, Anne; Cook, Elizabeth Anne; Kankya, Clovice; Dürr, Salome, 2023, "BUILD-VPH Leptospira serosurvey", https://hdl.handle.net/20.500.11766.1/FK2/BGBMSP, MELDATA, V4
These are datasets from a cross-sectional survey conducted in 887 cattle, 926 pigs, and 463 goats and sheep from slaughter facilities in Uganda. The files include animal demographic information (age, sex, breed, origin, study site), laboratory results (serological testing), Rscri...
Oct 23, 2024 - Climate adapted crops and livestock
Mwacharo, Joram, 2019, "Sudan Desert Sheep SNP Dataset", https://hdl.handle.net/20.500.11766.1/FK2/DXWBDS, MELDATA, V5
The file contains single nucleotide polymorphisms (SNP) data generated in Sudanese desert sheep to investigate genetic diversity and structure. The research took place in Sudan between 2017 and 2019. The data is stored in a zip folder containing 3 files: SudanDesertSheepFinalRepo...
Oct 23, 2024 - Climate adapted crops and livestock
Mwacharo, Joram, 2019, "Ethiopia Sheep SNP Dataset", https://hdl.handle.net/20.500.11766.1/FK2/BCE9WZ, MELDATA, V6
The file contains single nucleotide polymorphisms (SNP) data generated in Ethiopian sheep to investigate genetic diversity and structure. The research took place in Ethiopia in 2017-2019. The data is stored in a zip folder containing 3 files: Ethiopia.ped, Ethiopia.map and Prolif...
Sep 19, 2024 - Collect, Conserve and Use Agricultural Biodiversity
Gautam, Amit; Bassi, Filippo; Agrawal, Shiv Kumar, 2024, "Durum wheat crosses 2023 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/GVF1FC, MELDATA, V1
The dataset includes the list of Durum wheat crosses from season 2022-2023: crosses between India best checks and ICARDA elite germplasm that are superior for various traits (seed boldness, more number of tillers, water use efficiency, stay green, etc…) to add in improving the Na...
Comma Separated Values - 453 B - MD5: bcb79badbe7fbaaa50c4cc234622441a
Comma Separated Values - 749 B - MD5: 5831ca52f1c5acf3edf57b008f298e23
Comma Separated Values - 433 B - MD5: 57572219cd47093bb584d8ff050110b5
Comma Separated Values - 1.3 KB - MD5: 13fbacddf9345f1bb89417230128a207
Sep 19, 2024 - Collect, Conserve and Use Agricultural Biodiversity
Gautam, Amit; Bassi, Filippo; Agrawal, Shiv Kumar, 2024, "Durum wheat stage 2 trial 2023 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/TZDFQF, MELDATA, V1
The dataset includes observation data from Durum wheat stage 2 trial 2023, India. The trial includes F6 generations material that shows stable and high yield performance over checks at Amlaha station.
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