The Agricultural Science and Technology Indicators (ASTI) initiative, led by the International Food Policy Research Institute (IFPRI), is a comprehensive and trusted source of information on agricultural research and development (R&D) systems across the developing world http://www.asti.cgiar.org

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101 to 110 of 15,506 Results
Oct 1, 2024 - IFPRI Dataverse
Measures for Advancing Gender Equality (MAGNET) Initiative, 2024, "Gender and Occupation: Automatic Cognition Test", https://doi.org/10.7910/DVN/Y5JWAI, Harvard Dataverse, V3, UNF:6:0sLNE+q/1jUCxkDujqkFug== [fileUNF]
The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women’s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovat...
Aug 22, 2024 - Africa RISING Dataverse
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), 2024, "Drivers of Pigeon Peas Consumption Among School Aged Children in Central Tanzania", https://doi.org/10.7910/DVN/VFF2EE, Harvard Dataverse, V1, UNF:6:mcRNQP+cJoqfmMZ1d3GUvA== [fileUNF]
Data was collected from 138 caregivers of reproductive age (20-49 years) residing in four villages—Laikala, Mlali, Moleti, and Chitego—in Kongwa District, Dodoma Region, Tanzania. The caregivers were from households with school-aged children (5–12 years) and were randomly selected using the random walk sampling method. In each selected household, o...
Tabular Data - 75.7 KB - 208 Variables, 140 Observations - UNF:6:N4zQUdzowTmn/9whYTrfmA==
DataSurvey
Tabular Data - 4.6 KB - 5 Variables, 147 Observations - UNF:6:c4ckMQ56ZBPIZn92aG1bFQ==
CodebookDocumentation
Tabular Data - 14.0 KB - 2 Variables, 221 Observations - UNF:6:W0fiRO8x3+pccTz0lTf9IA==
CodebookDocumentation
Adobe PDF - 266.1 KB - MD5: db5df79852bf55df7637dbc2e1de8fc0
DocumentationQuestionnaire
Aug 22, 2024 - Africa RISING Dataverse
International Institute of Tropical Agriculture (IITA), 2022, "Exploring Smallholder Farmers’ Willingness to Pay for Mechanization in Tanzania: The Case of Maize Shelling Machines", https://doi.org/10.7910/DVN/13YBCW, Harvard Dataverse, V2, UNF:6:maVmAVikWWBOU0Wa5hQ9LA== [fileUNF]
This dataset is generated from the research study conducted to understand the willingness to pay (WTP) for small-scale maize shelling machines and to identify factors affecting the willingness to pay among farmers. The study was conducted in three districts in central and northern Tanzania (Kongwa, Kiteto, and Manyara districts). About 400 househol...
Tabular Data - 124.2 KB - 5 Variables, 5200 Observations - UNF:6:a8eGo3HrO4BoLy4ptSS3nA==
DataSTATASurvey
Tabular Data - 25.8 KB - 5 Variables, 1200 Observations - UNF:6:v/McWDHjLXhpvEQ4z2ZmEA==
DataSTATASurvey
Tabular Data - 38.2 KB - 5 Variables, 1600 Observations - UNF:6:1SetOnrGMyB9uznnCuriNQ==
DataSTATASurvey
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