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11,121 to 11,130 of 13,424 Results
Bangladesh_data.pdf
Bangladesh_data.pdf
Jul 4, 2017 - Threat of wheat blast to South Asia’s food security: An ex-ante analysis
Adobe PDF - 784.5 KB - MD5: 5bc3ea70c7a931c1b6cd24be89ee4202
Data set
Bangladesh data
India_data.xlsx
Jul 4, 2017 - Threat of wheat blast to South Asia’s food security: An ex-ante analysis
Unknown - 411.5 KB - MD5: 7c74abfae547c301eb2533157827010e
Data set
India data
Pakistan_data.xlsx
Jul 4, 2017 - Threat of wheat blast to South Asia’s food security: An ex-ante analysis
Unknown - 33.3 KB - MD5: eaf1c98a6f820b3f94ac3dddc1aba4fb
Data set
Pakistan Data
simulation_file.xlsx
Jul 4, 2017 - Threat of wheat blast to South Asia’s food security: An ex-ante analysis
Unknown - 29.1 KB - MD5: 5f41726d80ef2ca17f2a402d927225b2
Data set
Simulatilon file for India, Pakistan and Bangladesh
Genomics and Genebank Workshop on the use of genotypic data to rationalize genebank collections: diversity gaps and duplicates
Genomics and Genebank Workshop on the use of genotypic data to rationalize genebank collections: diversity gaps and duplicates
Jun 28, 2017 - CIMMYT Research Data
The Genomics and Genebank Workshop Planning Committee; Payne, Thomas; Hearne, Sarah; Abberton, Michael; Wenzl, Peter; Bramel, Paula; Ellis, Dave, 2017, "Genomics and Genebank Workshop on the use of genotypic data to rationalize genebank collections: diversity gaps and duplicates", https://hdl.handle.net/11529/10939, CIMMYT Research Data & Software Repository Network, V3
Genotyping and re-sequencing are among a suite of tools used to enable rapid and cost-effective tool to study genetic diversity. This workshop will explore its use in the genetic curation of accessi ons within and between collection(s). With such information across global collect...
Use of High-Resolution Image Data Outperforms Vegetation Indices in Prediction of Maize Yield: Supplementary Methods
Jun 27, 2017 - CIMMYT Research Software
Fernando Aguate; Samuel Trachsel; Lorena González-Pérez; Juan Burgueño; José Crossa; Mónica Balzarini; David Gouache; Matthieu Bogard; Gustavo de los Campos, 2017, "Use of High-Resolution Image Data Outperforms Vegetation Indices in Prediction of Maize Yield: Supplementary Methods", https://hdl.handle.net/11529/10972, CIMMYT Research Data & Software Repository Network, V1
This is the supplementary methods of "Use of High-Resolution Image Data Outperforms Vegetation Indices in Prediction of Maize Yield" published in Crop Science · May 2017, DOI: 10.2135/cropsci2017.01.0007. It includes the raw data in R format and the R-code for the analysis.
dataAguateCropSci2017.RData
Jun 27, 2017 - Use of High-Resolution Image Data Outperforms Vegetation Indices in Prediction of Maize Yield: Supplementary Methods
Unknown - 695.0 KB - MD5: ad2a90490e7c619747d1690bddd1cd04
Raw data in R format
getResults.html
Jun 27, 2017 - Use of High-Resolution Image Data Outperforms Vegetation Indices in Prediction of Maize Yield: Supplementary Methods
HTML - 2.0 MB - MD5: 6ec2dfc08226ef6b760d0b76c2040591
R- code to analyze data step by step
01_Identificationmm.dta
Jun 22, 2017 - Nepal Rice Crop Cut and Survey Data 2016
Unknown - 48.5 KB - MD5: 470fba8575d2b169d9224e87683af7e0
05 Stata Files
02_Hhinformation.csv
Jun 22, 2017 - Nepal Rice Crop Cut and Survey Data 2016
Plain Text - 34.6 KB - MD5: 6f475fff74371c3be1086d9cb2eb9a73
06 CSV Files
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