2,131 to 2,140 of 13,424 Results
Feb 13, 2024 - CIMMYT Research Data
Zepeda Villarreal, Ernesto Adair; Cheesman, Stephanie; Neupane, Nilhari; Shrestha, Nirman; Shrestha, Ram Narayan; Amjath Babu, Tharayil Shereef; Karki, Saral; Gathala, Mahesh K.; Krupnik, Timothy J.; Lopez-Ridaura, Santiago, 2024, "Analysis of Household-Level Survey Data: Farm Characteristics and Resource Allocation in Nepal (2023)", https://hdl.handle.net/11529/10548994, CIMMYT Research Data & Software Repository Network, V1
Dataset processed from a household-level survey to describe the main farm characteristics, production, and resource allocation in two municipalities across three regions of the country: Surkhet (Gurbhakot) and Khotang (Tuwachung) districts. Data was collected between March and Ju... |
Feb 13, 2024 -
Analysis of Household-Level Survey Data: Farm Characteristics and Resource Allocation in Nepal (2023)
MS Excel Spreadsheet - 577.8 KB -
MD5: 27dad5acbfa2a44b7536654d5757d24e
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Feb 13, 2024 -
Analysis of Household-Level Survey Data: Farm Characteristics and Resource Allocation in Nepal (2023)
MS Excel Spreadsheet - 1.1 MB -
MD5: 75731d8277185401e5c558d5c9253a9c
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Feb 13, 2024 -
Analysis of Household-Level Survey Data: Farm Characteristics and Resource Allocation in Nepal (2023)
MS Excel Spreadsheet - 581.0 KB -
MD5: 9d1d3f379304a09474c0866fd52d193e
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Feb 13, 2024 - CIMMYT Research Data
Jahanara, Ishrat; Zepeda Villarreal, Ernesto Adair; Cheesman, Stephanie; Amjath Babu, Tharayil Shereef; Karki, Saral; Hossain, Md. Khaled; Sharif, Ahmed; Bhandari, Humnath; Gathala, Mahesh K.; Krupnik, Timothy J.; Lopez-Ridaura, Santiago, 2024, "Analysis of Household-Level Survey Data: Farm Characteristics and Resource Allocation in Three Regions of Bangladesh (2023)", https://hdl.handle.net/11529/10548993, CIMMYT Research Data & Software Repository Network, V1
Dataset processed from a household-level survey to describe the main farm characteristics, production, and resource allocation in two municipalities across three regions of Bangladesh: North (Dinajpur, Nilphamari, Rangpur), West (Nawabganj, Rajshahi), and South (Barguna, Barisal,... |
Feb 13, 2024 -
Analysis of Household-Level Survey Data: Farm Characteristics and Resource Allocation in Three Regions of Bangladesh (2023)
MS Excel Spreadsheet - 4.0 MB -
MD5: cbbdc331923ea6d0e3de5bf6e653efe4
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Feb 13, 2024 -
Analysis of Household-Level Survey Data: Farm Characteristics and Resource Allocation in Three Regions of Bangladesh (2023)
MS Excel Spreadsheet - 1.6 MB -
MD5: 8bedd97d945939a87fffffe8b8e19ea8
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Feb 13, 2024 -
Analysis of Household-Level Survey Data: Farm Characteristics and Resource Allocation in Three Regions of Bangladesh (2023)
MS Excel Spreadsheet - 1.3 MB -
MD5: 35e30dd3fcbd71f33ae5a995cae32b93
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Feb 13, 2024 -
Analysis of Household-Level Survey Data: Farm Characteristics and Resource Allocation in Three Regions of Bangladesh (2023)
MS Excel Spreadsheet - 1.1 MB -
MD5: 676543a2ab2fb142616d1560d076acbf
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Feb 12, 2024 - Cereal Systems Initiative for South Asia (CSISA) Research Data
Saxena, Satyam; Kishore, Avinash; Veettil C, Prakashan; Sherpa R, Sonam; Mkondiwa, Maxwell; Urfels, Anton; Ajay, Anurag; Poonia, Shishpal; Kumar, Ajay; Kumar, Anurag; Kumar, Pankaj; Singh K, Deepak; Craufurd, Peter; Malik, RK, 2024, "Data on assessment of impacts of drought in Bihar during 2022", https://hdl.handle.net/11529/10549011, CIMMYT Research Data & Software Repository Network, V1
Agriculture is the most severely affected sector due to drought-like situations. Bihar is one of the most vulnerable states to drought due to its geographical location, and its high dependency on rainfed agriculture. The first survey, in Kharif season 2022 covered 518 farmers fro... |
