Metrics
88,482 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

261 to 270 of 599 Results
Aug 30, 2025 - Sustainable use and management of scarce water and land resources
Sharma, Ram; Amanov, Shukhrat; Akramkhanov, Akmal, 2019, "Household survey on production and consumption of chickpea - Uzbekistan 2018", https://hdl.handle.net/20.500.11766.1/FK2/E26O2A, MELDATA, V6
The data was collected for the project: "Collaborative Research Project on Sustainable Soil Management to Enhance Agricultural Productivity in Central Asia" as part of its Activity 2.2: "On‐farm evaluation and demonstration of integrated soil, land, crop and water management tech...
Aug 30, 2025 - Collect, Conserve and Use Agricultural Biodiversity
Maalouf, Fouad; Abou-Khater, Lynn, 2020, "DIVERSify field experiment results in Kafardan 2018", https://hdl.handle.net/20.500.11766.1/FK2/MHOHHL, MELDATA, V9
The dataset contains the description and results of a field experiment performed under the project “Designing InnoVative plant teams for Ecosystem Resilience and agricultural Sustainability (DIVERSify)” in Kfardan, Lebanon in 2018. It contains sheets about plot information, plot...
Aug 30, 2025 - Sustainable use and management of scarce water and land resources
Sharma, Ram; Amanov, Shukhrat; Akramkhanov, Akmal, 2019, "Soil analysis before and after mungbean crop production - Tajikistan 2018", https://hdl.handle.net/20.500.11766.1/FK2/DIW9MM, MELDATA, V5
The data was collected for the project: "Collaborative Research Project on Sustainable Soil Management to Enhance Agricultural Productivity in Central Asia" as part of its Activity 2.2: "On_farm evaluation and demonstration of integrated soil, land, crop and water management tech...
Aug 30, 2025 - Collect, Conserve and Use Agricultural Biodiversity
Maalouf, Fouad; Abou-Khater, Lynn, 2020, "DIVERSify field experiment results in Kafardan 2019", https://hdl.handle.net/20.500.11766.1/FK2/O5YFWX, MELDATA, V10
The dataset contains the description and results of a field experiment performed under the project “Designing InnoVative plant teams for Ecosystem Resilience and agricultural Sustainability (DIVERSify)” in Kfardan, Lebanon in 2019. It contains sheets about plot information, plot...
Aug 30, 2025 - Collect, Conserve and Use Agricultural Biodiversity
Keser, Mesut; Özdemir, Fatih; Morgunov, Alexey Ivanovich; Akin, Beyhan, 2020, "21st International Winter Wheat Trial - Semi Arid condition (21IWWYT-SA)", https://hdl.handle.net/20.500.11766.1/FK2/RPERGO, MELDATA, V8
The dataset contains data from the 21st International Winter Wheat Yield Trial - Semi Arid condition (IWWYT-SA), as part of the International Nursery data for Winter Facultative Wheat report for 2019. The genotypes developed by IWWIP have been tested in replicated trials in multi...
Aug 30, 2025 - Collect, Conserve and Use Agricultural Biodiversity
Niane, Abdoul Aziz; Bishaw, Zewdie; Jamal, Majd; Trabulsi, Nabil; Sweid, Fawzi; El-Kareem, Talal; Shukri, Ismail, 2020, "Data on Yield Certification Field inspection and Seed tests", https://hdl.handle.net/20.500.11766.1/FK2/BMTKH3, MELDATA, V6
The spreadsheet holds data on seed yields, certification, field inspection and seed testing (before cleaning) results for the 2019/2020 cropping season in the target sites Safireh and Taldu. This dataset is a collaboration work between ICARDA and FAO and it is released under crea...
Aug 30, 2025 - Big Data and ICT
Kosimov, Sherzod, 2015, "Spatial data from Aral Sea region on canals, roads, drainage, crop fields and wells", https://hdl.handle.net/20.500.11766.1/FK2/ICTJMI, MELDATA, V6
The dataset is composed by six shape files containing spatial data of the Aral Sea region including canals, crop fields, drainage, road lines, and wells
Aug 30, 2025 - Collect, Conserve and Use Agricultural Biodiversity
Kosimov, Sherzod, 2015, "Cotton - Farm Field Data (Uzbekistan, Fergana, Davlat Sahovati)", https://hdl.handle.net/20.500.11766.1/FK2/YH4VMX, MELDATA, V7
The dataset is part of the activity Knowledge of ICARDA for CRP-DS. The dataset includes data collected at experimental farm level in the district of Quva (Fergana region, Uzbekistan) for Cotton cultivars
Aug 30, 2025 - Sustainable use and management of scarce water and land resources
Awan, Usman, 2020, "Groundwater table measurements (GWT) - Uzbekistan", https://hdl.handle.net/20.500.11766.1/FK2/4W22CT, MELDATA, V6
The dataset contains groundwater table measurements in Qoshtepa and Toshlok from 2002 to 2008, and in Qoshtepa and Oltyaryk from 2012 to 2015.
Aug 30, 2025 - 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, V8
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....
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.