791 to 800 of 978 Results
Jun 25, 2018 - CIMMYT Research Data
Geographic Information Systems Unit of CIMMYT, 2018, "CIMMYT Climate Data: Meteorological Station at Agua Fría CIMMYT Office", https://hdl.handle.net/11529/10548093, CIMMYT Research Data & Software Repository Network, V3, UNF:6:6drcLjbb616fdHw7k1ji4w== [fileUNF]
CIMMYT has Meteorological Records for each station office in Mexico. Many variables of weather are measured per day (rawdata) from which daily, monthly and yearly sumaries are generated. These climate variables are measured by meteorological station and some of them are shown dai... |
Mottaleb, Khondoker; Sonder, Kai; Singh, Pawan Kumar; Kruseman, Gideon; Erenstein, Olaf, 2018, "Wheat blast: averting wheat blast in India", https://hdl.handle.net/11529/10548091, CIMMYT Research Data & Software Repository Network, V1, UNF:6:JoWKROlLzS5+XgRInWwcMw== [fileUNF]
The emergence of wheat-blast disease in Bangladesh in the 2015-16 wheat (Triticum aestivum) crop threatens the food security of South Asia. As wheat is the second most important staple and India has been emerging as a net wheat exporter, a potential spread of the disease from Ban... |
Jun 14, 2018 - CIMMYT Research Data
Hearne, Sarah; Sonder, Kai; Wilson, Julien, 2018, "SeeD GWAS Panel Accession Collection Site GIS-Derived Environmental Data", https://hdl.handle.net/11529/10548079, CIMMYT Research Data & Software Repository Network, V1
Historic accession collection site environmental data derived from CRU and other data resources. |
Jun 13, 2018 - CIMMYT Research Data
Montesinos-López, Abelardo; Montesinos-López, Osval A.; Gianola, Daniel; Crossa, Jose, 2018, "Deep learning genomic-enabled prediction of plant traits", https://hdl.handle.net/11529/10548082, CIMMYT Research Data & Software Repository Network, V1
Machine learning (ML) is a field of computer science that uses statistical techniques to give computer systems the ability to "learn" (i.e., progressively improve performance on a specific task) from data, without being explicitly programmed to do this. ML is closely related to (... |
Jun 7, 2018 - CIMMYT Research Data
Sapkota, Tek B.; Aryal, Jeetendra P.; Khatri-Chhetri, Arun; Shirsath, Paresh B; Arumugam, Ponraj; Stirling, Clare M., 2018, "Identifying high-yield low-emission pathways for the cereal production in South Asia", https://hdl.handle.net/11529/10548077, CIMMYT Research Data & Software Repository Network, V2, UNF:6:5kNA+QcDnMGOgK0NnR9nyQ== [fileUNF]
Household survey was conducted by International Maize and Wheat Improvement Centre (CIMMYT) as part of CGIAR research program on Climate Change Agriculture and Food Security (CCAFS) in Karnal district of Haryana state and Vaishali district of Bihar state in India. The overall aim... |
May 3, 2018 - Cereal Systems Initiative for South Asia (CSISA) Research Data
Wasim Iftikar; Nabakishore Parida; Vivek Kumar; Narayan Chandra Banik; Amit Mishra, 2017, "Odisha Rice Crop Cut Data 2013 - 2016", https://hdl.handle.net/11529/11111, CIMMYT Research Data & Software Repository Network, V2
Rice crop cuts conducted in Odisha (Mayurbhanj, Balasore, Keonjhar, Bhadrak, Khorda, Puri districts) |
Chamberlin, Jordan; Masuki, Kenneth; Karwani, George; Nord, Alison; Simbogoso, Violeth; Craufurd, Peter; Snapp, Sieglinde; Jayne, T. S.; Mushongi, Arnold; Magoye, Lameck, 2018, "TAMASA Tanzania. Agronomy Panel Survey (APS) 2017. Household data", https://hdl.handle.net/11529/10548038, CIMMYT Research Data & Software Repository Network, V1, UNF:6:Ue7Wzl1anaQvGzHTwaVh1w== [fileUNF]
The 2017 Agronomy Panel Survey (APS) for Tanzania is the second wave of a yearly farm household panel dataset collected under the BMGF-funded project Taking Maize Agronomy to Scale in Africa (TAMASA), in collaboration with the Sustainable Intensification Innovation Lab (SIIL). Th... |
Chamberlin, Jordan; Masuki, Kenneth; Karwani, George; Nord, Alison; Simbogoso, Violeth; Craufurd, Peter; Snapp, Sieglinde; Jayne, T. S.; Mushongi, Arnold; Magoye, Lameck, 2018, "TAMASA Tanzania. Agronomy Panel Survey (APS) 2016. Household data", https://hdl.handle.net/11529/10548039, CIMMYT Research Data & Software Repository Network, V1, UNF:6:28Iw+2j3K6Syt3k+WBUuYQ== [fileUNF]
The 2016 Agronomy Panel Survey (APS) for Tanzania is the first wave of a yearly farm household panel dataset collected under the BMGF-funded project Taking Maize Agronomy to Scale in Africa (TAMASA), in collaboration with the Sustainable Intensification Innovation Lab (SIIL). The... |
Chamberlin, Jordan; Masuki, Kenneth; Mushongi, Arnold; Lameck, Magoye; Nord, Allison; Karwani, George; Sayula, George; Mwaijande, Violeth; Wineman, Ayala, 2018, "TAMASA_TZ_APS_CS_2016", https://hdl.handle.net/11529/10547989, CIMMYT Research Data & Software Repository Network, V1
This dataset consists of community-level data on 42 communities in 25 maize-growing districts in Tanzania and is linked to other files under TAMASA_TZ_APS_XXXX_2016. Descriptors of the variables are in the attached document files. |
Chamberlin, Jordan; Masuki, Kenneth; Nord, Allison; Karwani, George; Sayula, George; Mwaijande, Violeth; Mushongi, Arnold; Lameck, Magoye; Wineman, Ayala, 2018, "TAMASA_TZ_APS_HH_2016", https://hdl.handle.net/11529/10547990, CIMMYT Research Data & Software Repository Network, V1
The APS consists of household- and plot-level data. |
