Metrics
139,490 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

1 to 10 of 649 Results
OFID household survey on landscape depressions
Oct 27, 2026 - Sustainable use and management of scarce water and land resources
Louhaichi, Mounir; Hassan, Sawsan; Clifton, Kathryn; Werner, Jutta, 2015, "OFID household survey on landscape depressions", https://hdl.handle.net/20.500.11766.1/FK2/8ELQDS, MELDATA, V30
The dataset contains the results of a survey with the purpose to compare practices like barley cultivation in the depressions and improved rangeland in Badia in terms of economic viability in the long term. The survey is part a of a research working on a solution to the land degr...
The Response of Grazed Vegetation in Relation to the Type of Landscape in the Flat Rangelands, Uzbekistan
Oct 27, 2026 - 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, V36
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...
Perceptions of Farmers about the Potential Adoption of Spineless Cactus in Livestock Feed, India
Oct 27, 2026 - Sustainable use and management of scarce water and land resources
Louhaichi, Mounir; Kumar, Suresh; Tiwari, Sunil; Hassan, Sawsan; Yadav, Om Parkash; Dayal, Devi; Moyo, Hloniphani; Dev, Rahul; Sarker, Ashutosh, 2019, "Perceptions of Farmers about the Potential Adoption of Spineless Cactus in Livestock Feed, India", https://hdl.handle.net/20.500.11766.1/FK2/UYPZUO, MELDATA, V31
Livestock production in arid and semi-arid regions is facing the challenges of low and erratic rainfall, poor nutrient soils, and high temperatures, which all contribute to inadequate forage production to support livestock. Under these challenging conditions, promoting forage spe...
Economic valuation of cactus pear production in semi-arid regions of India
Oct 27, 2026 - 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, V40
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.
Economic valuation of cactus pear production in semi-arid regions of Jordan
Oct 27, 2026 - 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, V43
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.
Economic valuation of cactus pear production in semi-arid regions of Chile
Oct 27, 2026 - 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, V41
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.
Economic valuation of cactus pear production in semi-arid regions of Mexico
Oct 27, 2026 - Building resilient integrated crop-livestock farming systems
Louhaichi, Mounir; Hassan, Sawsan; Yigezu, Yigezu; Mata-Gonzalez, Ricardo, 2022, "Economic valuation of cactus pear production in semi-arid regions of Mexico", https://hdl.handle.net/20.500.11766.1/FK2/TYYH1N, MELDATA, V40
Dataset about cactus pear production and economic evaluation in Mexico. The dataset is part of a survey series, targeting farmer planting cactus across 5 countries: Tunisia, India, Jordan, Mexico and Chile.
The Response of Grazed Vegetation in Relation to the Type of Landscape in the Mountain Rangelands, Tajikistan
Oct 27, 2026 - 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 Mountain Rangelands, Tajikistan", https://hdl.handle.net/20.500.11766.1/FK2/AFAJPH, MELDATA, V34
The dataset reports on information collected to investigate the response of grazed vegetation in relation to landscape type in the mountain rangelands of Tajikistan over two seasons in 2016 (autumn and spring). Slopes facing the north and south, and grazed during different season...
Estimation of shrub canopy cover by digital vegetation charting technique (DVCT), Syria
Oct 27, 2026 - Scaling-up of proven technological packages
Louhaichi, Mounir; Hassan, Sawsan, 2019, "Estimation of shrub canopy cover by digital vegetation charting technique (DVCT), Syria", https://hdl.handle.net/20.500.11766.1/FK2/F2BS5I, MELDATA, V31
The shrub fodder component should be measured to avoid underestimation of the carrying capacity of rangelands. In this study, we present a fast, reliable and non-destructive method to estimate canopy vegetation cover to obtain aboveground shrub biomass. The experiment was conduct...
SLICK Cattle Dairy Project Tick Count Data
Oct 27, 2026 - International Livestock Research Institute
Marshall, Karen; Malinga, Sophie, 2026, "SLICK Cattle Dairy Project Tick Count Data", https://hdl.handle.net/20.500.11766.1/FK2/AM2OZK, MELDATA, V3, UNF:6:iILGLl2rlmczKpKfP4Y9ow== [fileUNF]
This dataset captures species-specific tick attachment on cattle heterozygous for the SLICK 1 mutation under natural tick exposure conditions at the ILRI Kapiti Research Station, Kenya, over a 7-week monitoring period during both the dry and wet seasons. Weekly tick counts were c...
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.