Metrics
79,426 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

311 to 320 of 607 Results
Mar 24, 2025 - Climate adapted crops and livestock
Atassi, Layal; Biradar, Chandrashekhar; Mwacharo, Joram; Haile, Aynalem, 2018, "Horro sheep climate similarity in Ethiopia", https://hdl.handle.net/20.500.11766.1/FK2/BUPG2M, MELDATA, V5
This map was prepared for Livestock and fish CRP project for Mapping breeds to appropriate production environments: a case study of Ethiopian indigenous sheep and goats. Horro sheep climate similarity in Ethiopia at 30 arc-second (about 1 km) resolution. the map was calculated as...
Mar 24, 2025 - Climate adapted crops and livestock
Atassi, Layal; Biradar, Chandrashekhar; Mwacharo, Joram; Haile, Aynalem, 2018, "Atsbi sheep climate similarity in Ethiopia", https://hdl.handle.net/20.500.11766.1/FK2/SFQFXV, MELDATA, V5
This map was prepared for Livestock and fish CRP project for Mapping breeds to appropriate production environments: a case study of Ethiopian indigenous sheep and goats. Atsbi sheep climate similarity in Ethiopia at 30 arc-second (about 1 km) resolution. the map was calculated as...
Mar 24, 2025 - Climate adapted crops and livestock
Atassi, Layal; Biradar, Chandrashekhar; Mwacharo, Joram; Haile, Aynalem, 2018, "Yabello goat climate similarity in Ethiopia", https://hdl.handle.net/20.500.11766.1/FK2/34VVJI, MELDATA, V5
This map was prepared for Livestock and fish CRP project for Mapping breeds to appropriate production environments: a case study of Ethiopian indigenous sheep and goats. Yabello goat climate similarity in Ethiopia at 30 arc-second (about 1 km) resolution. The map was calculated a...
Mar 24, 2025 - Climate adapted crops and livestock
Atassi, Layal; Biradar, Chandrashekhar; Mwacharo, Joram; Haile, Aynalem, 2018, "Doyo Gena sheep climate similarity in Ethiopia", https://hdl.handle.net/20.500.11766.1/FK2/H9LODV, MELDATA, V5
This map was prepared for Livestock and fish CRP project for Mapping breeds to appropriate production environments: a case study of Ethiopian indigenous sheep and goats. Doyo Gena sheep climate similarity in Ethiopia at 30 arc-second (about 1 km) resolution. the map was calculate...
Mar 24, 2025 - Big Data and ICT
De Pauw, Eddy; Atassi, Layal; Tulaymat, Mohammad Fawaz; Nseir, B., 2019, "End Of The Moisture-limited Growing Period", https://hdl.handle.net/20.500.11766.1/FK2/L2LUBS, MELDATA, V5
Data for characterization of Central Asia climatic conditions. End of the moisture-limited growing period was calculated by using interpolated raster from climatic stations using CLIMAP tool developed at ICARDA.
Mar 24, 2025 - Building resilient integrated crop-livestock farming systems
Frija, Aymen; Ouerghemmi, Hassen, 2021, "Global data on livestock contribution to economic development for 2016", https://hdl.handle.net/20.500.11766.1/FK2/7JXUTC, MELDATA, V7
This dataset compiles aggregated variables describing both global livestock sector and macroeconomic attributes of 217 countries globally for 2016. The data is compiled to help with context-specific and typology analyses of the importance of livestock within each of the emerging...
Mar 24, 2025 - Sustainable use and management of scarce water and land resources
Louhaichi, Mounir; Hassan, Sawsan; Clifton, Kathryn; Werner, Jutta, 2015, "OFID household survey on landscape depressions", https://hdl.handle.net/20.500.11766.1/FK2/8ELQDS, MELDATA, V5
The dataset contains the results of a survey with the purpose to compare practices like barley cultivation in the depressions and improved rangeland in Badia in terms of economic viability in the long term. The survey is part a of a research working on a solution to the land degr...
Mar 18, 2025 - Collect, Conserve and Use Agricultural Biodiversity
Nazari, Kumarse; El Amil, Rola; Al-Jaboobi, Muamar; Maafa, Ilyass; Kemal, Seid Ahmed; Ramdani, Abdelhamid; Ibriz, Hafid; SBAI, Ibtihel; Ramdhane, Nasraoui; Abdsattar, Bouslimi, 2022, "PHI in country cereal rust survey data - Lebanon, Morocco and Tunisia 2022", https://hdl.handle.net/20.500.11766.1/FK2/6LFZ4Q, MELDATA, V5
The dataset is about the surveillance and monitoring of the cereal rust diseases in Lebanon, Morocco, and Tunisia in 2022. Rust surveillance was carried out in farmer’s fields and research stations using the BGRI rust surveillance form. Geo-referenced information, crop phenology,...
Mar 6, 2025 - Sustainable use and management of scarce water and land resources
Bartolini, Pietro; Zucca, Claudio, 2017, "Datasets on soil and water conservation and restoration interventions in Jordan Badia - SWC database Jordan 2017", https://hdl.handle.net/20.500.11766.1/P3WRRC, MELDATA, V5
The dataset was created by UNIFI-ICARDA aiming to list all the soil and water conservation and restoration interventions in the Badia region, in Jordan. All the interventions were georeferenced by using public domain remote sensing data: Google Earth, was the principal source of...
Feb 27, 2025 - Big Data and ICT
De Pauw, Eddy; Atassi, Layal; Tulaymat, Mohammad Fawaz; Nseir, B., 2019, "Climate Productivity Index (Crop Group II, Rainfed)", https://hdl.handle.net/20.500.11766.1/FK2/ZBJSFI, MELDATA, V3
Data for characterization of Central Asia climatic conditions. Climate Productivity Index (Crop Group II, Rainfed) was calculated by using interpolated raster from climatic stations using CLIMAP tool developed at ICARDA.
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.