Metrics
88,482 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

481 to 490 of 599 Results
Dataset of measured parameters for ET-based irrigation scheduling in Fergana Valley, Uzbekistan
Apr 22, 2025 - 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, V8
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.
Integrated Pest management (IPM) of Insect Pests - Russian Wheat Aphid project: Evaluation of Bread Wheat for Russian Wheat Aphid Resistance Experiment 2001
Apr 22, 2025 - Collect, Conserve and Use Agricultural Biodiversity
El Bouhssini, Mustapha; Dabous, Asma; Rihawi, Fawzi; Abdalla, Osman; Valkoun, Jan, 2001, "Integrated Pest management (IPM) of Insect Pests - Russian Wheat Aphid project: Evaluation of Bread Wheat for Russian Wheat Aphid Resistance Experiment 2001", https://hdl.handle.net/20.500.11766.1/FK2/ZHUCML, MELDATA, V7
Integrated Pest management (IPM) of Insect Pests - Russian Wheat Aphid project: Evaluation of bread wheat for Russian wheat aphid resistance experiment 2001
Integrated Pest management (IPM) of Insect Pests – Wheat Stem Saw Fly Project: Evaluation of Winter Wheat for Wheat Stem Saw Fly Resistance Experiment 2000
Integrated Pest management (IPM) of Insect Pests – Wheat Stem Saw Fly Project: Evaluation of Winter Wheat for Wheat Stem Saw Fly Resistance Experiment 2000
Apr 22, 2025 - Collect, Conserve and Use Agricultural Biodiversity
El Bouhssini, Mustapha; Ibrahim, Zakaria; Rihawi, Fawzi; Mosaad, Moussa; Ketata, Habib, 2000, "Integrated Pest management (IPM) of Insect Pests – Wheat Stem Saw Fly Project: Evaluation of Winter Wheat for Wheat Stem Saw Fly Resistance Experiment 2000", https://hdl.handle.net/20.500.11766.1/FK2/IPJR9Z, MELDATA, V6
Datasets of Integrated Pest management (IPM) of Insect Pests – Wheat Stem Saw Fly Project: Evaluation of Winter Wheat for Wheat Stem Saw Fly Resistance Experiment 2000.
The Khanasser Valley Integrated Research Site project: Communities Characterization in Khanasser Valley survey 2001
Apr 22, 2025 - Sustainable value chains, supportive policies and viable off-farm activities
Mazid, Ahmed; Aw-Hassan, Aden A.; Salahieh, Hisham; Arab, George, 2001, "The Khanasser Valley Integrated Research Site project: Communities Characterization in Khanasser Valley survey 2001", https://hdl.handle.net/20.500.11766.1/FK2/QGACGY, MELDATA, V8
The database is an assesment of household resources, production strategies and income in the dry environments beyond Khanasser Valley in Syria. The objetcive was to determine the constraints to the adoption of potential changes in land use and the costs and benefits of these chan...
Integrated Pest management (IPM) of Insect Pests – Wheat Stem Saw Fly Project: Evaluation of Durum Wheat for Wheat Stem Saw Fly Resistance Experiment 2003
Integrated Pest management (IPM) of Insect Pests – Wheat Stem Saw Fly Project: Evaluation of Durum Wheat for Wheat Stem Saw Fly Resistance Experiment 2003
Apr 22, 2025 - Collect, Conserve and Use Agricultural Biodiversity
El Bouhssini, Mustapha; Ibrahim, Zakaria; Rihawi, Fawzi; Miloudi, Nachit, 2003, "Integrated Pest management (IPM) of Insect Pests – Wheat Stem Saw Fly Project: Evaluation of Durum Wheat for Wheat Stem Saw Fly Resistance Experiment 2003", https://hdl.handle.net/20.500.11766.1/FK2/WDXJV3, MELDATA, V7
Datasets of Integrated Pest management (IPM) of Insect Pests - Wheat Stem Saw fly project: evaluation of durum wheat for wheat stem saw fly resistance experiment 2003. The objective is to identify sources of resistance in durum wheat to wheat stem saw fly. Note: the dataset does...
Urban Food Markets in Africa – incentivizing food safety (Pull-Push Project) - Assessment of pesticide residues in vegetables produced in central and eastern Ethiopia
Apr 21, 2025 - International Livestock Research Institute
Getachew, Dinede; Knight-Jones, Theodore; Bihon, Wubetu; Gazu, Lina; Girma, Sisay; Srinivasan, Ramasamy; Roothaert, Ralph; Grace, Delia; Gashaw, Habtamu, 2022, "Urban Food Markets in Africa – incentivizing food safety (Pull-Push Project) - Assessment of pesticide residues in vegetables produced in central and eastern Ethiopia", https://hdl.handle.net/20.500.11766.1/FK2/ZFUA66, MELDATA, V17
The project aims to improve food safety in urban informal markets in Burkina Faso and Ethiopia, specifically in poultry and vegetable value chains. While previous efforts have often focused on training producers or regulators with little attention to incentives for behaviour chan...
A Comprehensive Database of CGIAR Climate-Related Journal Articles (2012–2023)
Apr 17, 2025 - International Livestock Research Institute
Orth, Alan; Bosire, Caroline K.; Rabago, Laura; Vaidya, Shrijana; Rajbhandari, Sitashma; Pradhan, Prajal; Mukherji, Aditi, 2024, "A Comprehensive Database of CGIAR Climate-Related Journal Articles (2012–2023)", https://hdl.handle.net/20.500.11766.1/FK2/Z98CZO, MELDATA, V8
This dataset contains bibliographic metadata for 3,450 peer-reviewed journal articles used in the 2024 synthesis of CGIAR work on climate change. The metadata was retrieved from eight CGIAR institutional repositories, processed using a Python-based extract, transform, and load (E...
Tree Planting Data 2018 - Kenya
Apr 17, 2025 - Sustainable use and management of scarce water and land resources
Magaju, Christine; Winowiecki, Leigh; Nyaga, John; Ochenje, Ibrahim; Makui, Parmutia; Kiura, Esther; Crossland, Mary; Valencia, Ana Maria; Kuria, Anne; Carsan, Sammy; Muriuki, Jonathan; Sola, Phosiso; Muthuri, Silas; Mutua, Francisca; Mbuvi, Caroline; Maithya, Stephen; Mwende, Mercy; Muendo, Sylvester; Vagen, Tor-Gunnar; Sinclair, Fergus, 2019, "Tree Planting Data 2018 - Kenya", https://hdl.handle.net/20.500.11766.1/FK2/BLHHPR, MELDATA, V5
In order to assess the impact of the Land Restoration Program, understanding what land restoration options work, where and for whom, there is need to identify the context-specific variables that may influence the performance of the restoration options as well as their uptake. In...
Tree Planting Data 2017 - Kenya
Apr 17, 2025 - Sustainable use and management of scarce water and land resources
Magaju, Christine; Winowiecki, Leigh; Nyaga, John; Ochenje, Ibrahim; Makui, Parmutia; Kiura, Esther; Crossland, Mary; Valencia, Ana Maria; Kuria, Anne; Wafula, Lydia; Carsan, Sammy; Muriuki, Jonathan; Sola, Phosiso; Muthuri, Silas; Mutua, Francisca; Mbuvi, Caroline; Maithya, Stephen; Mwende, Mercy; Muendo, Sylvester; Vagen, Tor-Gunnar; Sinclair, Fergus, 2019, "Tree Planting Data 2017 - Kenya", https://hdl.handle.net/20.500.11766.1/FK2/UUSV0P, MELDATA, V4
In order to assess the impact of the Land Restoration Program, understanding what land restoration options work, where and for whom, there is need to identify the context-specific variables that may influence the performance of the restoration options as well as their uptake. In...
Undersowing Vetch in sorghum for intensifying existing production systems
Apr 14, 2025 - Sustainable use and management of scarce water and land resources
Tarekegn, Alemu; Demsew, Yengusie, 2016, "Undersowing Vetch in sorghum for intensifying existing production systems", https://hdl.handle.net/20.500.11766.1/FK2/SXXKWI, MELDATA, V4
Final dataset from agronomic experiment in Gumara Maksegnit (2016), as elaborated by GARC researchers in charge for this trial (Alemu Tarekegn and Yengusie Demsew). Please contact author and contact person at ICARDA to obtain more detailed metadata or to propose collaboration.
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.