Metrics
97,539 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 4,816 Results
Social and gender norms and conceptualization of empowerment in Uganda
May 18, 2026 - International Livestock Research Institute
Achandi, Esther; Galiè, Alessandra; Sengendo, Andrew; Katassi, Linda; Banalyaki, Badiru; Marion, Agwang, 2023, "Social and gender norms and conceptualization of empowerment in Uganda", https://hdl.handle.net/20.500.11766.1/FK2/MGFGNF, MELDATA, V1
This is qualitative data collected through sex-separated focus group discussions, indepth individual interviews and key informant interviews in Uganda. We targeted actors-such as farmers and traders involved in the livestock value chain-interviewing women, men, and youth (across...
FGD_Anonymized.zip
May 18, 2026 - Social and gender norms and conceptualization of empowerment in Uganda
ZIP Archive - 878.8 KB - MD5: 58dbaa08f2b443bd0379017256fd047a
IDIs_Anonymized.zip
May 18, 2026 - Social and gender norms and conceptualization of empowerment in Uganda
ZIP Archive - 573.9 KB - MD5: 32decb0564bcaf5f3a913e363f5a226c
KII_Anonymized.zip
May 18, 2026 - Social and gender norms and conceptualization of empowerment in Uganda
ZIP Archive - 3.0 MB - MD5: 8fe48ef28c2b27eb037c1987b18abe13
Raw Data Baseline Survey on Adoption of Agricultural Technologies
May 15, 2026 - Sustainable value chains, supportive policies and viable off-farm activities
Werner, Jutta; Dhehibi, Boubaker; Rudiger, Udo; Najjar, Dina; Louhaichi, Mounir; Le, Quang Bao; Verma, Ramesh Pal Singh; Nefzaoui, Ali; Straussberger, Lisa; Ben Ghanem, Hajer; Qaim, Matin; Kruse, Marco, 2017, "Raw Data Baseline Survey on Adoption of Agricultural Technologies", https://hdl.handle.net/20.500.11766.1/FK2/XEDGJC, MELDATA, V25
The International Center for Agricultural Research in the Dry Areas (ICARDA), the National Institute for Agronomic Research in Tunis (INRAT) and the Office for Livestock and Pasture (OEP) ) and the University of Georg-August in Goettingen, Germany, conducted a survey to provide m...
Estimation of shrub canopy cover by digital vegetation charting technique (DVCT), Syria
May 15, 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, V22
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...
The Relevance of Rest Periods in Rangeland Management for Plant Density in Tataouine, Tunisia, Spring 2017
May 15, 2026 - Sustainable use and management of scarce water and land resources
Louhaichi, Mounir; Ouled Belgacem, Azaiez; Abdelkader, Mohamed; Ben Salem, Farah, 2017, "The Relevance of Rest Periods in Rangeland Management for Plant Density in Tataouine, Tunisia, Spring 2017", https://hdl.handle.net/20.500.11766.1/FK2/X9IYIU, MELDATA, V22
In southern Tunisia, rangelands are overexploited because the animal needs highly exceed plant production. For most of the skeletal desert soil, the overall vegetation covering oscillates between 1 and 10%; the perennial aerial biomass is lower than 100 kg of dry matter (DM)/ha/y...
The Response of Grazed Vegetation in Relation to the Type of Landscape in the Flat Rangelands, Uzbekistan
May 15, 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, V27
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...
The Relevance of Rest Periods in Rangeland Management for Plant Cover and Species Composition in Tataouine, Tunisia, Spring
May 15, 2026 - Sustainable use and management of scarce water and land resources
Louhaichi, Mounir; Ouled Belgacem, Azaiez; Abdelkader, Mohamed; Ben Salem, Farah, 2019, "The Relevance of Rest Periods in Rangeland Management for Plant Cover and Species Composition in Tataouine, Tunisia, Spring", https://hdl.handle.net/20.500.11766.1/FK2/ZAJDIV, MELDATA, V22
In southern Tunisia, rangelands are overexploited because the animal needs highly exceed plant production. For most of the skeletal desert soil, the overall vegetation covering oscillates between 1 and 10%; the perennial aerial biomass is lower than 100 kg of dry matter (DM)/ha/y...
Perceptions of Farmers about the Potential Adoption of Spineless Cactus in Livestock Feed, India
May 15, 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, V22
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...
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.