Metrics
96,810 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

261 to 270 of 4,810 Results
Apr 9, 2026 - Sustainable use and management of scarce water and land resources
Nangia, Vinay; Mukhamedjanov, Shukhrat; Yuldashev, Tulkun, 2016, "Dataset of measured parameters for ET-based irrigation scheduling in Fergana Valley, Uzbekistan", https://hdl.handle.net/20.500.11766.1/FK2/YF9UBV, MELDATA, V10
Datasets of all measured parameters for ET-based irrigation scheduling in Fergana Valley, Uzbekistan. Series of data is on winter wheat and cotton crops. Data collection occurred in 2015.
Apr 9, 2026 - Big Data and ICT
Biradar, Chandrashekhar, 2015, "Ground truth data from the Ferghana valley for remote sensing analysis and validation", https://hdl.handle.net/20.500.11766.1/FK2/NSXDEA, MELDATA, V10
Ground truth data from the Ferghana vallet for land use and land cover mapping, crop productivity and land degradation assessment
Apr 9, 2026 - Big Data and ICT
Biradar, Chandrashekhar, 2015, "Vegetation dynamics in central Asia: Land Surface Water Index 2000-2014", https://hdl.handle.net/20.500.11766.1/FK2/PDAP3M, MELDATA, V8
Land Surface Water Index (LSWI) derived from MODIS time-series satellite data at 8 days interval from 2000-2014
Apr 9, 2026 - Climate adapted crops and livestock
Atassi, Layal; Biradar, Chandrashekhar; Mwacharo, Joram; Haile, Aynalem, 2018, "Menz sheep precipitation similarity in Ethiopia", https://hdl.handle.net/20.500.11766.1/FK2/5TP9ZE, MELDATA, V8
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. Menz sheep precipitation similarity in Ethiopia at 30 arc-second (about 1 km) resolution, similarity in precip...
Apr 9, 2026 - Climate adapted crops and livestock
Atassi, Layal; Biradar, Chandrashekhar; Mwacharo, Joram; Haile, Aynalem, 2018, "Horro sheep temperature similarity in Ethiopia", https://hdl.handle.net/20.500.11766.1/FK2/T7L5Q6, MELDATA, V8
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 temperature similarity in Ethiopia at 30 arc-second (about 1 km) resolution. Similarity in tempera...
Apr 9, 2026 - Climate adapted crops and livestock
Atassi, Layal; Biradar, Chandrashekhar; Mwacharo, Joram; Haile, Aynalem, 2018, "Horro sheep precipitation similarity in Ethiopia", https://hdl.handle.net/20.500.11766.1/FK2/ZVPGZM, MELDATA, V8
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 precipitation similarity in Ethiopia at 30 arc-second (about 1 km) resolution, similarity in preci...
Apr 9, 2026 - Climate adapted crops and livestock
Atassi, Layal; Biradar, Chandrashekhar; Mwacharo, Joram; Haile, Aynalem, 2018, "Atsbi sheep temperature similarity in Ethiopia", https://hdl.handle.net/20.500.11766.1/FK2/KNIMMJ, MELDATA, V8
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 temperature similarity in Ethiopia at 30 arc-second (about 1 km) resolution. Similarity in tempera...
Apr 9, 2026 - Building resilient integrated crop-livestock farming systems
Majid, Abdul, 2015, "Comparison between maize, millet and guar improved and local varieties for green fodder and dry matter yield - Pakistan 2015", https://hdl.handle.net/20.500.11766.1/FK2/R0KNBQ, MELDATA, V5
The dataset contanins a data comparison between improved maize, millet and guar variety vs. local varieties for green fodder yield (GFY) and dry matter yield (DMY). The data are from 2 farmers fields at Latifal and Saghar village at Chakwal site (Pakistan).
Apr 9, 2026 - Big Data and ICT
Biradar, Chandrashekhar; Atassi, Layal; Oweis, Theib; Haddad, Mira, 2017, "Agricultural water productivity for rainfed areas in 2008", https://hdl.handle.net/20.500.11766.1/L9USGL, MELDATA, V10
The dataset contains one of the layers produced for “Supporting Coordination and Cooperation in Water Management in the Euphrates and Tigris Area CPET” project. The project aims to assess the status of water use in agriculture in the Euphrates-Tigress basin, determine and map the...
Apr 9, 2026 - Climate adapted crops and livestock
Atassi, Layal; Biradar, Chandrashekhar; Mwacharo, Joram; Haile, Aynalem, 2018, "Menz sheep temperature similarity in Ethiopia", https://hdl.handle.net/20.500.11766.1/FK2/8077WU, MELDATA, V7
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. Menz sheep temperature similarity in Ethiopia at 30 arc-second (about 1 km) resolution. Similarity in temperat...
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.