Metrics
96,706 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

381 to 390 of 4,808 Results
Crop Type Map of Fergana, 2012
Crop Type Map of Fergana, 2012
Apr 9, 2026 - Big Data and ICT
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Crop Type Map of Fergana, 2012", https://hdl.handle.net/20.500.11766.1/FK2/XIITWH, MELDATA, V10
Land use map shows the spatial distribution of dominant crop types (at the per-parcel level) in the major part of the Fergana Valley in 2012. The map is part of a series on crop distribution from 2004 to 2015.
Crop Type Map of Fergana, 2007
Crop Type Map of Fergana, 2007
Apr 9, 2026 - Big Data and ICT
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Crop Type Map of Fergana, 2007", https://hdl.handle.net/20.500.11766.1/FK2/MNQGI1, MELDATA, V9
Land use map shows the spatial distribution of dominant crop types (at the per-parcel level) in the major part of the Fergana Valley in 2007. The map is part of a series on crop distribution from 2004 to 2015.
Baseline survey on extension services influence on smallholder farmer's adoption of improved wheat variety
Apr 9, 2026 - Building resilient integrated crop-livestock farming systems
Yitayew, Asresu; Yigezu, Yigezu; Deneke, Tilaye; Abdulai, Awudu, 2019, "Baseline survey on extension services influence on smallholder farmer's adoption of improved wheat variety", https://hdl.handle.net/20.500.11766.1/FK2/NCCYHG, MELDATA, V11
The study is part of project “Designing effective extension service delivery systems for enhancing wider adoption of agricultural technologies”. The project aims to understand how extension services influence smallholder farmers’ decisions to adopt a new improved wheat variety, b...
20th International Winter Wheat Trial - Semi Arid condition (20IWWYT-SA)
20th International Winter Wheat Trial - Semi Arid condition (20IWWYT-SA)
Apr 9, 2026 - Collect, Conserve and Use Agricultural Biodiversity
Keser, Mesut; Özdemir, Fatih; Morgunov, Alexey Ivanovich; Akin, Beyhan, 2020, "20th International Winter Wheat Trial - Semi Arid condition (20IWWYT-SA)", https://hdl.handle.net/20.500.11766.1/FK2/6513PJ, MELDATA, V10
The dataset contains data from the 20th International Winter Wheat Yield Trial - Semi Arid condition (IWWYT-SA), as part of the International Nursery data for Winter Facultative Wheat report for 2018. The genotypes developed by IWWIP have been tested in replicated trials in multi...
Soil sampling points in Fergana valley and Sogd
Soil sampling points in Fergana valley and Sogd
Apr 9, 2026 - Big Data and ICT
Kosimov, Sherzod, 2015, "Soil sampling points in Fergana valley and Sogd", https://hdl.handle.net/20.500.11766.1/FK2/AEFLE7, MELDATA, V6
Soil sampling points in Fergana valley and Sogd, CRP WUE activities 2015
25th Facultative Winter Wheat Observation Nurseries - Irrigation condition (25FAWWON-IRR)
Apr 9, 2026 - Collect, Conserve and Use Agricultural Biodiversity
Keser, Mesut; Özdemir, Fatih; Morgunov, Alexey Ivanovich; Akin, Beyhan, 2020, "25th Facultative Winter Wheat Observation Nurseries - Irrigation condition (25FAWWON-IRR)", https://hdl.handle.net/20.500.11766.1/FK2/EB7YDS, MELDATA, V11
The dataset contains data from the 25th Facultative Winter Wheat Observation Nurseries - Irrigation condition (FAWWON-IRR), as part of the International Nursery data for Winter Facultative Wheat report for 2018. The genotypes developed by IWWIP have been tested in multilocations....
Integrated Pest management (IPM) of Insect Pests - Russian Wheat Aphid project: Evaluation of Wild Relatives for Russian Wheat Aphid Resistance Experiment 2004
Integrated Pest management (IPM) of Insect Pests - Russian Wheat Aphid project: Evaluation of Wild Relatives for Russian Wheat Aphid Resistance Experiment 2004
Apr 9, 2026 - Collect, Conserve and Use Agricultural Biodiversity
El Bouhssini, Mustapha; Dabous, Asma; Rihawi, Fawzi; Valkoun, Jan, 2019, "Integrated Pest management (IPM) of Insect Pests - Russian Wheat Aphid project: Evaluation of Wild Relatives for Russian Wheat Aphid Resistance Experiment 2004", https://hdl.handle.net/20.500.11766.1/FK2/TW9YKW, MELDATA, V10
Datasets of Integrated Pest management (IPM) of Insect Pests - Russian Wheat Aphid Project: Evaluation of wild relatives for Russian Wheat Aphid Resistannce Experiment 2004.
ICARDA ISI Journal Articles 2018 dataset
Apr 9, 2026 - Big Data and ICT
Jani, Sara; Bonaiuti, Enrico; Wery, Jacques, 2019, "ICARDA ISI Journal Articles 2018 dataset", https://hdl.handle.net/20.500.11766.1/C4OABW, MELDATA, V9
The data contains the list of journal articles published in ISI Journals by the International Center for Agricultural Research in the Dry Areas (ICARDA) Scientists during the year 2018 with the quartiles analysis to study the journal article relevance to each research topic based...
2017 ICARDA Faba Bean Acid Soils FIGS Subset
Apr 9, 2026 - Collect, Conserve and Use Agricultural Biodiversity
Kehel, Zakaria; Street, Kenneth, 2017, "2017 ICARDA Faba Bean Acid Soils FIGS Subset", https://hdl.handle.net/20.500.11766.1/QW5AR7, MELDATA, V9
The FIGS_ILB_Acid_2017 FIGS set was created using the Focused Identification of Germplasm Strategy FIGS (http://figs.icarda.org). We used the FAO's harmonized soil database to construct this set. Furthermore, WorldClim data was used to maximize the climatic diversity within this...
Integrated Pest management (IPM) of Insect Pests – Wheat Stem Saw Fly Project: Evaluation of Bread Wheat for Wheat Stem Saw Fly Resistance Experiment 2001
Integrated Pest management (IPM) of Insect Pests – Wheat Stem Saw Fly Project: Evaluation of Bread Wheat for Wheat Stem Saw Fly Resistance Experiment 2001
Apr 9, 2026 - Collect, Conserve and Use Agricultural Biodiversity
El Bouhssini, Mustapha; Ibrahim, Zakaria; Rihawi, Fawzi; Abdalla, Osman, 2001, "Integrated Pest management (IPM) of Insect Pests – Wheat Stem Saw Fly Project: Evaluation of Bread Wheat for Wheat Stem Saw Fly Resistance Experiment 2001", https://hdl.handle.net/20.500.11766.1/FK2/VGZSUP, MELDATA, V10
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 2001
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.