Metrics
97,539 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

211 to 220 of 642 Results
Climate Productivity Index (Crop Group IV, Rainfed)
Apr 9, 2026 - Big Data and ICT
De Pauw, Eddy; Atassi, Layal; Tulaymat, Mohammad Fawaz; Nseir, B., 2019, "Climate Productivity Index (Crop Group IV, Rainfed)", https://hdl.handle.net/20.500.11766.1/FK2/IQ480N, MELDATA, V10
Data for characterization of Central Asia climatic conditions. Climate Productivity Index (Crop Group IV, Rainfed) was calculated by using interpolated raster from climatic stations using CLIMAP tool developed at ICARDA.
Data on chickpea in Syria 1961-2005
Apr 9, 2026 - Collect, Conserve and Use Agricultural Biodiversity
Mazid, Ahmed; Amri, Ahmed; Shideed, Kamel; Amegbeto, Koffi, 2005, "Data on chickpea in Syria 1961-2005", https://hdl.handle.net/20.500.11766.1/FK2/YAQPGH, MELDATA, V7
Yield data on chickpea in Syria from 1961 to 2005
Sudan Desert Sheep SNP Dataset
Apr 9, 2026 - Climate adapted crops and livestock
Mwacharo, Joram, 2019, "Sudan Desert Sheep SNP Dataset", https://hdl.handle.net/20.500.11766.1/FK2/DXWBDS, MELDATA, V8
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...
Profiling and mapping of youth group members and champion farmers
Profiling and mapping of youth group members and champion farmers
Apr 9, 2026 - Scaling-up of proven technological packages
Wamatu, Jane; Ephrem, Nahom, 2018, "Profiling and mapping of youth group members and champion farmers", https://hdl.handle.net/20.500.11766.1/NZEFSZ, MELDATA, V8
The TAAT project is scaling up adoption of improved sheep fattening technology and practices in Ethiopia through implementation of benchmark sites which comprise sheep fattening youth groups and model champion farmers. These sites will act as disseminators of proven sheep fatteni...
Irrigation with moderately-salinity water and salinity water experiment
Apr 9, 2026 - Sustainable use and management of scarce water and land resources
Qadir, Manzoor, 2007, "Irrigation with moderately-salinity water and salinity water experiment", https://hdl.handle.net/20.500.11766.1/FK2/YFAGX9, MELDATA, V12
Dataset on irrigation with moderately-salinity water and salinity water experiment. The experiment was carried on inside the "Bright" Spots Project at the Uzbek Cotton Growing Institute Experimental site in Syrdarya province, Akaltyn district.
Integrated Pest management (IPM) of Insect Pests – Wheat Stem Saw Fly Project: Evaluation of Bread Wheat for Wheat Stem Saw Fly Resistance Experiment 2004
Integrated Pest management (IPM) of Insect Pests – Wheat Stem Saw Fly Project: Evaluation of Bread Wheat for Wheat Stem Saw Fly Resistance Experiment 2004
Apr 9, 2026 - Collect, Conserve and Use Agricultural Biodiversity
El Bouhssini, Mustapha; Ibrahim, Zakaria; Rihawi, Fawzi; Abdalla, Osman, 2004, "Integrated Pest management (IPM) of Insect Pests – Wheat Stem Saw Fly Project: Evaluation of Bread Wheat for Wheat Stem Saw Fly Resistance Experiment 2004", https://hdl.handle.net/20.500.11766.1/FK2/BL30S1, MELDATA, V12
Datasets of Integrated Pest management (IPM) of Insect Pests – Wheat Stem Saw Fly Project: Evaluation of Bread Wheat for Wheat Stem Saw Fly Resistance Experiment 2004.
Climate Productivity Index (Crop Group I, Rainfed)
Apr 9, 2026 - Big Data and ICT
De Pauw, Eddy; Atassi, Layal; Tulaymat, Mohammad Fawaz; Nseir, B., 2019, "Climate Productivity Index (Crop Group I, Rainfed)", https://hdl.handle.net/20.500.11766.1/FK2/MKHBVB, MELDATA, V9
Data for characterization of Central Asia climatic conditions. Climate Productivity Index (Crop Group I, Rainfed) was calculated by using interpolated raster from climatic stations using CLIMAP tool developed at ICARDA.
Annual Rainfall Likely To Be Exceeded In 3 Years Out Of 4
Apr 9, 2026 - Big Data and ICT
De Pauw, Eddy; Atassi, Layal, 2019, "Annual Rainfall Likely To Be Exceeded In 3 Years Out Of 4", https://hdl.handle.net/20.500.11766.1/FK2/2WOQVJ, MELDATA, V14
Annual rainfall likely to be exceeded in 3 years out of 4, in millimeters, at 30 arcsecond resolution, was prepared for the IFAD-ICARDA Project "Poverty Assessment in Sudan". Map prepared as part of three reports that detail the results of a poverty assessment and mapping project...
Protocol trainings - Mind the Gap project, Tunisia 2018
Apr 9, 2026 - Capacity Development
Rudiger, Udo; Dhehibi, Boubaker, 2018, "Protocol trainings - Mind the Gap project, Tunisia 2018", https://hdl.handle.net/20.500.11766.1/LF7LNK, MELDATA, V10
The dataset includes all trainings and capacity development activities of the Mind the Gap project between 2016 and 2018. It shows title, date, location and number of participants of the trainings. The activities helped to introduce and scale innovations like new barley variety a...
Weight gains of rams of TAAT Sheep fattening scaling project beneficiaries
Apr 9, 2026 - Scaling-up of proven technological packages
Wamatu, Jane; Ephrem, Nahom, 2019, "Weight gains of rams of TAAT Sheep fattening scaling project beneficiaries", https://hdl.handle.net/20.500.11766.1/0PVF9Q, MELDATA, V8
The TAAT project is scaling up adoption of improved sheep fattening technology and practices in Ethiopia through implementation of benchmark sites which comprise sheep fattening youth groups and model champion farmers. The dataset contains the results of a sheep fattening experim...
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.