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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61 to 70 of 908 Results
May 1, 2024 - IFPRI Dataverse
International Food Policy Research Institute (IFPRI), 2024, "Myanmar Household Welfare Survey (MHWS), Round 6", https://doi.org/10.7910/DVN/CVKOPF, Harvard Dataverse, V1, UNF:6:5DTZZx5gS/VvOYzt+mzmIw== [fileUNF]
The sixth round of the Myanmar Household Welfare Survey (MHWS)–a nationwide phone panel consisting of 12,898 households–was implemented between August, 2023 and November, 2023. The objective of the survey was to collect data on a wide range of household and individual welfare indicators–including wealth, livelihoods, unemployment, food insecurity,...
Apr 24, 2024 - IFPRI Dataverse
International Food Policy Research Institute (IFPRI), 2024, "Project-level Women’s Empowerment in Agriculture Index for Market Inclusion (Pro-WEAI+MI): Malawi Case Study", https://doi.org/10.7910/DVN/QQABTY, Harvard Dataverse, V1, UNF:6:ElIRxMihykL91aOAtO8SrQ== [fileUNF]
The project-level Women’s Empowerment in Agriculture Index for market inclusion (pro-WEAI+MI) is a modified version of the pro-WEAI that captures empowerment across commodity value chains (VC), VC actors, and beneficiaries of VC/training interventions. This dataset from Malawi is one of four country case studies that developed additional market inc...
Apr 24, 2024 - IFPRI Dataverse
International Food Policy Research Institute (IFPRI), 2024, "Project-level Women’s Empowerment in Agriculture Index for Market Inclusion (Pro-WEAI+MI): Philippines Case Study", https://doi.org/10.7910/DVN/UPKRKO, Harvard Dataverse, V1, UNF:6:gHgqZ4L8t4kmcusw8TTaHw== [fileUNF]
The project-level Women’s Empowerment in Agriculture Index for market inclusion (pro-WEAI+MI) is a modified version of the pro-WEAI that captures empowerment across commodity value chains (VC), VC actors, and beneficiaries of VC/training interventions. This dataset from the Philippines is the first of four country case studies that developed additi...
Apr 12, 2024 - IFPRI Dataverse
International Food Policy Research Institute (IFPRI), 2024, "Myanmar Migration Assessment", https://doi.org/10.7910/DVN/BLYQ4K, Harvard Dataverse, V1, UNF:6:2rm2Dzl0dLC7df2kRHWEEQ== [fileUNF]
Myanmar Migrant Assessment (MMA), is a comprehensive survey aimed at understanding the impacts and processes of migration in Myanmar amidst political instability, armed conflict, economic disruptions, and climatic shocks. Drawing its sample from the Myanmar Household Welfare Survey (MHWS), the MMA targeted households with members who had migrated w...
Mar 20, 2024 - IFPRI Dataverse
International Food Policy Research Institute (IFPRI), 2024, "ACLED Conflict Index G5 Sahel (2018-2023)", https://doi.org/10.7910/DVN/T6UT9O, Harvard Dataverse, V3, UNF:6:YbakjU6uyBSG2N5kAwSmEA== [fileUNF]
This dataset contains the ACLED conflict index, its classification, and related underlying dimensions and rankings of deadliness, danger, diffusion, and fragmentation for the 279 second-level administrative areas of Mauritania, Mali, Burkina Faso, Niger, and Chad between 2018 and 2023. Following a slightly modified version of ACLED's conflict index...
Mar 19, 2024 - IFPRI Dataverse
International Food Policy Research Institute (IFPRI), 2024, "Interim Feed the Future Zone of Influence survey in Tajikistan, 2015", https://doi.org/10.7910/DVN/DHRV46, Harvard Dataverse, V1, UNF:6:JUm4iUnASyOT2OlRhJA3SA== [fileUNF]
This dataset intends to provide population-based survey data from USAID's Zone of Influence (ZOI) in Tajikistan to perform a midline assessment of its ongoing activities. The dataset consists of interviews with 2,000 households from 12 districts in Khatlon Province, conducted in February and March 2015 in collaboration with Zerkalo Analytics. For t...
Mar 14, 2024 - Africa RISING Dataverse
International Center for Tropical Agriculture (CIAT); Selian Agricultural Research Institute (SARI), 2015, "Agronomic Survey to Estimate Actual Yield Obtained by Farmers in Their Own Practices and Relation with Management Strategies", https://doi.org/10.7910/DVN/X6QS6M, Harvard Dataverse, V2, UNF:6:0XSwFV9VMonuLE4UJVBJwg== [fileUNF]
This study contains yield data of the two crops from tow representative sections of a field on plots 10m by 10m. Data taken on each of the plots included agronomic practices undertaken including plant spacing, pest and disease control, organic/inorganic fertilizer applications and field history according to a protocol implemented in AfSIS. Each fie...
Mar 14, 2024 - Africa RISING Dataverse
Lilongwe University of Agriculture and Natural Resources (LUANAR); Agriculture Extension Services; Michigan State University (MSU), 2015, "Pigeonpea Productivity and Parameters", https://doi.org/10.7910/DVN/TROBCF, Harvard Dataverse, V2, UNF:6:KA2BZ8fgm5+dIPhq1kMwog== [fileUNF]
This data study contains data on pigeonpea and soybean intensification through phosphorous fertilization. It contains data on cropping system, phosphorous level, treatments and variety of pigeonpea, and yields among many others. About the project Project title: AfricaRISING - Sustainable Intensification of Maize-Legume-Livestock Integrated Farming...
Mar 14, 2024 - Africa RISING Dataverse
International Institute of Tropical Agriculture (IITA); Savanna Agricultural Research Institute (SARI), 2015, "Crop Diversification in Maize-Based Cropping System: Maize-Sesame Intercropping", https://doi.org/10.7910/DVN/8UFV7X, Harvard Dataverse, V2, UNF:6:NcHOIkDl6h91H604UZBKfQ== [fileUNF]
This data study explores raising and sustaining productivity in cereal-legume cropping systems in northern Ghana About the project Project title: AfricaRISING - Sustainable intensification of cereal-based farming systems in the Guinea-Sudan-Savanna of Ghana and Mali Project abstract Mono-cropping of sesame(Sesame indicum L.) is being promoted for c...
Mar 14, 2024 - Africa RISING Dataverse
Wageningen University and Research (WUR), 2014, "Rapid Characterisation of Farming Systems in Africa RISING - Ghana", https://doi.org/10.7910/DVN/ZH8UZI, Harvard Dataverse, V2, UNF:6:qyq6yHrPpprmIIHypZW7PA== [fileUNF]
This data study contains household and community survey data in support of Africa RISING farming systems analysis. About the project Project title: AfricaRISING- Sustainable Intensification of Maize-Legume-Livestock Integrated Farming Systems in East and Southern Africa Project abstract Sustainable intensification of mixed crop livestock systems is...
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