Metrics
90,772 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

201 to 210 of 4,739 Results
Dec 4, 2025 - Sustainable use and management of scarce water and land resources
Rajabov, Toshpulat; Clifton, Kathryn; Shaumarov, Makhmud; Louhaichi, Mounir, 2015, "Raw data for rangeland vegetation sampling of Central Asia rangelands", https://hdl.handle.net/20.500.11766.1/FK2/YXFYLD, MELDATA, V8
The datasets holds data about rangeland vegetation sampling that was conducted during the spring of 2015 in Karakalpakstan using transect sampling to understand the grazing impact in different land tenure regimes. The collected data includes vegetation density, biomass, species c...
Dec 4, 2025 - Sustainable use and management of scarce water and land resources
Louhaichi, Mounir; Moyo, Hloniphani; Hassan, Sawsan, 2019, "The Response of Grazed Vegetation in Relation to the Type of Landscape in the Flat Rangelands, Uzbekistan", https://hdl.handle.net/20.500.11766.1/FK2/L7XSN8, MELDATA, V12
The dataset describes the information collected on the response of grazed vegetation in relation to landscape type in the flat rangelands of Uzbekistan over two seasons in 2016 (autumn and spring). We used a grazing gradient approach as a main tool to detect fine-scale changes in...
Dec 4, 2025 - Building resilient integrated crop-livestock farming systems
Louhaichi, Mounir; Hassan, Sawsan; Yigezu, Yigezu; Kumar, Sunil; Naorem, Anandkumar; Kauthale, Vitthal; Palsaniya, Dana; Patel, Sachin, 2022, "Economic valuation of cactus pear production in semi-arid regions of India", https://hdl.handle.net/20.500.11766.1/FK2/KFXLGU, MELDATA, V18
Dataset about cactus pear production and economic evaluation in India. The dataset is part of a survey series, targeting farmer planting cactus across 5 countries: Tunisia, India, Jordan, Mexico and Chile.
Dec 4, 2025 - Sustainable use and management of scarce water and land resources
Dutilly-Diane, Celine; Tiedeman, James; Louhaichi, Mounir; Ghassali, Fahim; Battikha, Nabil, 2004, "Al Badia Project: Al badia community survey 2: Rangeland Communities", https://hdl.handle.net/20.500.11766.1/FK2/KSU7WM, MELDATA, V11
The dataset contains the results of a survey on Community Rangeland Management conducted in Syria in 2005, specifically rangeland field verification data collected at community level. ICARDA, in collaboration with the Steppe Directorate of Syria and the Badia Rehabilitation Proje...
Dec 4, 2025 - Building resilient integrated crop-livestock farming systems
Louhaichi, Mounir; Hassan, Sawsan; Yigezu, Yigezu; Tawyah, Mohammed; Mahasneh, Amor, 2022, "Economic valuation of cactus pear production in semi-arid regions of Jordan", https://hdl.handle.net/20.500.11766.1/FK2/OKIYT2, MELDATA, V21
Dataset about cactus pear production and economic evaluation in Jordan. The dataset is part of a survey series, targeting farmer planting cactus across 5 countries: Tunisia, India, Jordan, Mexico and Chile.
Dec 4, 2025 - Building resilient integrated crop-livestock farming systems
Louhaichi, Mounir; Hassan, Sawsan; Yigezu, Yigezu; Leiva, Sebastián; Mora Gonzalez, Marcos; Saenz, Carmen, 2022, "Economic valuation of cactus pear production in semi-arid regions of Chile", https://hdl.handle.net/20.500.11766.1/FK2/YMIQMU, MELDATA, V20
Dataset about cactus pear production and economic evaluation in Chile. The dataset is part of a survey series, targeting farmer planting cactus across 5 countries: Tunisia, India, Jordan, Mexico and Chile.
Nov 28, 2025 - International Livestock Research Institute
Shikuku, Kelvin; Ochenje, Ibrahim; Enriquez, Kira; Banerjee, Rupsha; DuttaGupta, Tanaya; Osiemo, Jamleck, 2025, "Survey and choice experiment dataset for assessing pastoralists’ preferences for bundled livestock insurance products in Kenya", https://hdl.handle.net/20.500.11766.1/FK2/TPMTEO, MELDATA, V1
This data was collected through a choice experiment with 1,829 women and men pastoralists across 119 villages in Isiolo County, Kenya in August 2024. The choice experiment was designed to elicit pastoralists relative willingness to pay for bundled livestock insurance. The experim...
Comma Separated Values - 791.0 KB - MD5: 59a553668e9f98707aee57e3266b939d
6. Raw and verified data
Comma Separated Values - 2.6 MB - MD5: 201f561d18b036e7a25787752dc9e896
6. Raw and verified data
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.