1 to 10 of 174 Results
Jul 28, 2020 - CIAT - International Center for Tropical Agriculture Dataverse
Farrow, A.; Muthoni-Andriatsitohaina, R.; Ongom, B.; Ojara, M., 2020, "Bean production areas in sub-Saharan Africa", https://doi.org/10.7910/DVN/8W0QK7, Harvard Dataverse, V1, UNF:6:qMkDAr5PGnQnoeiDPaQJGA== [fileUNF]
176 bean production areas were identified and reviewed using a form of the Delphi method of consensus building among experts from almost all bean producing countries of sub-Saharan Africa. Data were collected for: bean production, cropping systems and producers; seed systems; bean use and marketing; bean grain types and varieties; and abiotic and b... |
Jul 28, 2020 -
Bean production areas in sub-Saharan Africa
MS Excel Spreadsheet - 463.5 KB -
MD5: c7e819bc3ea38d9839cbeb55cd13686f
Archivo que contiene todos los datos (crudos y estandarizados) asociados al proyecto |
Jul 28, 2020 -
Bean production areas in sub-Saharan Africa
Tabular Data - 40.4 KB - 2 Variables, 404 Observations - UNF:6:qMkDAr5PGnQnoeiDPaQJGA==
Contiene las descripción de cada una de las variables tratadas en el archivo data.csv |
Jul 28, 2020 -
Bean production areas in sub-Saharan Africa
Shapefile as ZIP Archive - 681.5 KB -
MD5: 8da592a6bd8cb42d8eafc91661042b1f
Archivo en formato shapefile con la información espacial de las áreas de producción |
Jun 25, 2020 - The Alliance of Bioversity International and CIAT Dataverse
Siriwan, Wanwisa; Jiménez, Jenyfer; Hemniam, Nuannapa; Saokham, Kingkan; Cuellar, Wilmer, 2020, "Surveillance and diagnostics dataset on Sri Lankan cassava mosaic virus (Fam. Geminiviridae) and CMD in Thailand", https://doi.org/10.7910/DVN/Z5TR2F, Harvard Dataverse, V1, UNF:6:v47oLjxsXGUV4c83qrYVYQ== [fileUNF]
Emergent agricultural pathogens cause severe damage worldwide. Standard surveillance and diagnostic protocols need to be evaluated and implemented at regional level, particularly with diseases caused by a wide range of pathogens that can induce similar symptoms. This dataset provides a description of surveillance and diagnostics data for CMD in Tha... |
Jun 25, 2020 -
Surveillance and diagnostics dataset on Sri Lankan cassava mosaic virus (Fam. Geminiviridae) and CMD in Thailand
MS Excel Spreadsheet - 26.0 KB -
MD5: 49e9466bcee5abc13e57f94d84883bf3
This table contains the list of parameters measured in the field and laboratory with their description and units. |
Jun 25, 2020 -
Surveillance and diagnostics dataset on Sri Lankan cassava mosaic virus (Fam. Geminiviridae) and CMD in Thailand
Tabular Data - 62.7 KB - 14 Variables, 600 Observations - UNF:6:P8n1G7allg9UZ6fRP+Zdlg==
Samples |
Jun 25, 2020 -
Surveillance and diagnostics dataset on Sri Lankan cassava mosaic virus (Fam. Geminiviridae) and CMD in Thailand
Tabular Data - 78.1 KB - 16 Variables, 600 Observations - UNF:6:/u6Yj3kMUFZcP8Qu6/gAlA==
Samples |
Apr 22, 2020 - The Alliance of Bioversity International and CIAT Dataverse
Zaake, Paul; Paul, Birthe K.; Marshall, Karen; Notenbaert, An; Ouma, A. Emily; Dionec, Michel M.; Ouma, George O.; Ndambi, Asaah O., 2020, "Pig production in Uganda - adapting to climate change", https://doi.org/10.7910/DVN/KPVH8Q, Harvard Dataverse, V2, UNF:6:0jnJamiuqvncB3m30nlRcw== [fileUNF]
There is limited attention to impacts of climate change on pigs in Uganda by stakeholders, despite the potential vulnerability of pigs to climate change. Pigs are sensitive to heat-stress, as they do not have functioning sweat glands as other livestock species do, and have small lungs which reduces their ability to disseminate heat by panting. The... |
Apr 22, 2020 -
Pig production in Uganda - adapting to climate change
MS Excel Spreadsheet - 46.5 KB -
MD5: c0efb92766b156d7dfe921df28380c11
Data dictionary household level data |