Metrics
100,870 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

421 to 430 of 4,791 Results
IPM of insect pests - Hessian Fly project: Screening of wild species for resistance to Hessian fly experiment 2003
Apr 9, 2026 - Collect, Conserve and Use Agricultural Biodiversity
El Bouhssini, Mustapha; Rihawi, Fawzi; Miloudi, Nachit, 2003, "IPM of insect pests - Hessian Fly project: Screening of wild species for resistance to Hessian fly experiment 2003", https://hdl.handle.net/20.500.11766.1/FK2/HK9F2P, MELDATA, V8
Integrated Pest management (IPM) of Insect Pests - Hessian Fly project: Screening of wild species for resistance to Hessian fly experiment 2003. The objective is to identify sources of resistance in wild species to Hessian fly
Yield Map Cotton, 2008
Yield Map Cotton, 2008
Apr 9, 2026 - Big Data and ICT
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Yield Map Cotton, 2008", https://hdl.handle.net/20.500.11766.1/FK2/NYTW37, MELDATA, V10
Yield map for cotton in Fergana valley, Uzbekistan in 2008. The map is part of a series on crop distribution from 2004 to 2015.
Abergelle goat temperature similarity in Ethiopia
Apr 9, 2026 - Climate adapted crops and livestock
Atassi, Layal; Biradar, Chandrashekhar; Mwacharo, Joram; Haile, Aynalem, 2018, "Abergelle goat temperature similarity in Ethiopia", https://hdl.handle.net/20.500.11766.1/BOW4EN, 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. Abergelle goat temperature similarity in Ethiopia at 30 arc-second (about 1 km) resolution. Similarity in temp...
Survey data on impact of winter chickpea technology in Syria
Apr 9, 2026 - Scaling-up of proven technological packages
Mazid, Ahmed; Shideed, Kamel; Amegbeto, Koffi, 2007, "Survey data on impact of winter chickpea technology in Syria", https://hdl.handle.net/20.500.11766.1/FK2/BHMTSF, MELDATA, V14
Survey data on impact of winter chickpea technology in Syria. The study was conducted in the 2005/06 season to collect information from farmers on the performance of winter-sown cultivars in comparison with the traditional spring plantings. The data were used to analyze the impac...
Wheat Yield Map (Pixel Based), 2011
Wheat Yield Map (Pixel Based), 2011
Apr 9, 2026 - Big Data and ICT
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Wheat Yield Map (Pixel Based), 2011", https://hdl.handle.net/20.500.11766.1/FK2/Q2R657, MELDATA, V11
Yield map for wheat in Fergana valley, Uzbekistan in 2011. The map is part of a series on crop distribution from 2004 to 2015.
Yield Map Winter Wheat, 2006
Yield Map Winter Wheat, 2006
Apr 9, 2026 - Big Data and ICT
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Yield Map Winter Wheat, 2006", https://hdl.handle.net/20.500.11766.1/FK2/3NKPWR, MELDATA, V13
Yield map for winter wheat in Fergana valley, Uzbekistan in 2006. The map is part of a series on crop distribution from 2004 to 2015.
Integrated Pest management (IPM) of Insect Pests - Selection for resistance to Spring Chickpea leafminer 2001
Apr 9, 2026 - Collect, Conserve and Use Agricultural Biodiversity
El Bouhssini, Mustapha; Joubi, Abdulla; Ibrahim, Zakaria; Malhotra, Rajinder, 2017, "Integrated Pest management (IPM) of Insect Pests - Selection for resistance to Spring Chickpea leafminer 2001", https://hdl.handle.net/20.500.11766.1/FK2/KMNZV7, MELDATA, V12
This dataset includes data on the selection for resistance to Spring Chickpea leafminer L.M (F3) in the year 2001. The Observations tab provides information on the alpha-numeric codes used to describe each progeny. The Cross_Structure tab provides data on the location and parenta...
FIGS_ICDW_Salinity_2017
Apr 9, 2026 - Collect, Conserve and Use Agricultural Biodiversity
Kehel, Zakaria; Tsivelikas, Athanasios, 2017, "FIGS_ICDW_Salinity_2017", https://hdl.handle.net/20.500.11766.1/XJ6T0L, MELDATA, V9
The salinity FIGS set contains 146 accessions including 126 durum wheat landraces (Triticum turgidum subsp. durum), 9 cultivated emmer (Triticum turgidum subsp. dicoccum) and 11 wild emmer (Triticum turgidum subsp. dicoccoides). This set was created using the Focused Identificati...
IPM of insect pests - Sunn pest project: Insect-killing fungi persistence and efficacy trials - Data Mortality and Outgrowth
Apr 9, 2026 - Collect, Conserve and Use Agricultural Biodiversity
El Bouhssini, Mustapha; Sayadi, Ziyad; Parker, Bruce L.; Skinner, Margaret; Reid, Bill; Abdel Hay, Mohamed, 2004, "IPM of insect pests - Sunn pest project: Insect-killing fungi persistence and efficacy trials - Data Mortality and Outgrowth", https://hdl.handle.net/20.500.11766.1/FK2/MMOG3R, MELDATA, V7
Datasets of Integrated Pest management (IPM) of Insect Pests - Sunn Pest Project: Persistence of insect-killing fungi in Sunn Pest in overwintering sites (ICARDA's GERMPLASM PROGRAM (Entomology)).
Land Cover Map of Fergana 2013
Land Cover Map of Fergana 2013
Apr 9, 2026 - Big Data and ICT
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Land Cover Map of Fergana 2013", https://hdl.handle.net/20.500.11766.1/TYRWGS, MELDATA, V11
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 2010 to 2014. Major crop types like cotton or rice were classified as separately, wh...
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.