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71 to 80 of 846 Results
Aug 30, 2025 - Big Data and ICT
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Crop Type Map of Fergana, 2006", https://hdl.handle.net/20.500.11766.1/FK2/608AP0, MELDATA, V7
Land use map shows the spatial distribution of dominant crop types (at the per-parcel level) in the major part of the Fergana Valley in 2006. The map is part of a series on crop distribution from 2004 to 2015.
Apr 22, 2025 - Collect, Conserve and Use Agricultural Biodiversity
El Bouhssini, Mustapha; Dabous, Asma; Rihawi, Fawzi; Abdalla, Osman; Valkoun, Jan, 2001, "Integrated Pest management (IPM) of Insect Pests - Russian Wheat Aphid project: Evaluation of Bread Wheat for Russian Wheat Aphid Resistance Experiment 2001", https://hdl.handle.net/20.500.11766.1/FK2/ZHUCML, MELDATA, V7
Integrated Pest management (IPM) of Insect Pests - Russian Wheat Aphid project: Evaluation of bread wheat for Russian wheat aphid resistance experiment 2001
Apr 14, 2025 - Big Data and ICT
Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Crop Type Map of Fergana, 2007", https://hdl.handle.net/20.500.11766.1/FK2/MNQGI1, MELDATA, V7
Land use map shows the spatial distribution of dominant crop types (at the per-parcel level) in the major part of the Fergana Valley in 2007. The map is part of a series on crop distribution from 2004 to 2015.
Feb 18, 2025 - Gender equality and youth
Crossland, Mary; Valencia, Ana Maria; Winowiecki, Leigh; Magaju, Christine; Ochenje, Ibrahim; Kiura, Esther; Muthuri, Silas; Mutua, Francisca; Mbuvi, Caroline; Maithya, Stephen; Mwende, Mercy; Muendo, Sylvester; Pagella, Tim; Sinclair, Fergus, 2021, "Gender & Migration Data 2019 - Kenya", https://hdl.handle.net/20.500.11766.1/FK2/3JBK1S, MELDATA, V5
The dataset is a result of a survey conducted in Kenya, under the project "Restoration of degraded land for food security and poverty reduction in East Africa and the Sahel: taking successes in land restoration to scale". It includes data on 3196 individuals from 1037 project hou...
Comma Separated Values - 3.4 KB - MD5: b574c2536e3dc8bb9d7363cdacfd41f2
Comma Separated Values - 1.5 KB - MD5: 4ba9545d540a1f004654eb74f2ec8202
Comma Separated Values - 89.3 KB - MD5: df16a7756d1f3aff604eb31ad21219ca
Comma Separated Values - 26.6 KB - MD5: 33cb286dc1c8c72bb0c1ce199fcf1305
Comma Separated Values - 1.4 KB - MD5: fe3cc93187d10dc343341f20b0cd8601
Comma Separated Values - 424 B - MD5: a7d0415d1f3aaa73552fffc1b11d32bc
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