Metrics
98,580 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

371 to 380 of 643 Results
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 2000", https://hdl.handle.net/20.500.11766.1/FK2/PXXZOX, MELDATA, V11
This dataset includes data on the selection for resistance to Spring Chickpea leafminer L.M (F2) in the year 2000. 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...
Apr 9, 2026 - Sustainable use and management of scarce water and land resources
Jemberu, Tsedalu; Bidru, Asmamaw, 2016, "Participatory Adaptation of Hot Pepper Varieties for Green Pod Production Under Irrigation", https://hdl.handle.net/20.500.11766.1/FK2/BD4HZW, MELDATA, V6
Final dataset from agronomic experiment in Gumara Maksegnit (2016), as elaborated by GARC researcher in charge for this trial (Asmamaw Bidru). Please contact author and contact person at ICARDA to obtain more detailed metadata or to propose collaboration.
Apr 9, 2026 - Big Data and ICT
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Rice Yield Map (Pixel Based), 2012", https://hdl.handle.net/20.500.11766.1/FK2/ZYHJSH, MELDATA, V8
Yield map (Pixel based) for rice paddy in Fergana valley, Uzbekistan in 2012. The map is part of a series on crop distribution from 2004 to 2015.
Apr 9, 2026 - Big Data and ICT
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Wheat Yield Map (Pixel Based), 2010", https://hdl.handle.net/20.500.11766.1/FK2/1FDAFV, MELDATA, V11
Yield map for wheat in Fergana valley, Uzbekistan in 2010. The map is part of a series on crop distribution from 2004 to 2015.
Apr 9, 2026 - Big Data and ICT
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Yield Map Winter Wheat, 2012", https://hdl.handle.net/20.500.11766.1/FK2/ZT5FJT, MELDATA, V10
Yield map for winter wheat in Fergana valley, Uzbekistan in 2012. The map is part of a series on crop distribution from 2004 to 2015.
Apr 9, 2026 - Big Data and ICT
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Major Land Use (key crops), 2011", https://hdl.handle.net/20.500.11766.1/IGXRWU, 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 2011. 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...
Apr 9, 2026 - Sustainable value chains, supportive policies and viable off-farm activities
Rudiger, Udo, 2016, "Analysis of seed enterprises in Tunisia", https://hdl.handle.net/20.500.11766.1/FK2/ASI8BH, MELDATA, V9
The dataset contains information about 8 seed enterprises in Tunisia. The data was collected in 2016, inside the project "Provision of proven feed resource technologies to improve the red meat value chain in Tunisia", with the objective to identify potential sources of animal fee...
Apr 9, 2026 - Big Data and ICT
Biradar, Chandrashekhar, 2015, "Central Asia and NW China agro-climatic zones 10_40_A1b", https://hdl.handle.net/20.500.11766.1/FK2/BL66QR, MELDATA, V5
Central Asia and North-West China (Xingjiang province) agroclimatic zones 2011-2040 based on the averaged output of 4 GCM models under Greenhouse Gas Emission Scenario 10_40_A1b
Apr 9, 2026 - Big Data and ICT
Biradar, Chandrashekhar, 2015, "Central Asia and NW China absolute change of the annual maximum temperature 2020s_A2", https://hdl.handle.net/20.500.11766.1/FK2/H4RWHJ, MELDATA, V7
Central Asia and North-West China (Xingjiang province) absolute change of annual maximum temperature in 2020 according to IPCC near-term climate change scenario A2
Apr 9, 2026 - Big Data and ICT
Biradar, Chandrashekhar, 2015, "Vegetation dynamics in central Asia: Enhanced Vegetation Index 2000-2014", https://hdl.handle.net/20.500.11766.1/FK2/F4DCR8, MELDATA, V7
Enhanced Vegetation Index (EVI) derived from modis time-series satellite data at 8 days interval from 2000-2014
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.