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1,891 to 1,900 of 13,451 Results
Module_25.csv
Nov 29, 2024 - Agricultural Lime Profitability in Rwanda (2022)
Comma Separated Values - 21.3 KB - MD5: d872c4e9c2c2f42ed4c020760f2b429f
Module_25.dta
Nov 29, 2024 - Agricultural Lime Profitability in Rwanda (2022)
Stata Binary - 15.9 KB - MD5: 3cdbf9beb5133d869e8f4855548731ca
Module_26.csv
Nov 29, 2024 - Agricultural Lime Profitability in Rwanda (2022)
Comma Separated Values - 57.0 KB - MD5: fd5b8a11729c32c1f22c5f289ef5e42a
Module_26.dta
Nov 29, 2024 - Agricultural Lime Profitability in Rwanda (2022)
Stata Binary - 46.8 KB - MD5: 87d498b043ec43bbc74920b98a99a8a2
Variable_description.csv
Nov 29, 2024 - Agricultural Lime Profitability in Rwanda (2022)
Comma Separated Values - 39.8 KB - MD5: 0ff1152e9572e7706ee4159247842a1b
variable_description.dta
Nov 29, 2024 - Agricultural Lime Profitability in Rwanda (2022)
Stata Binary - 56.5 KB - MD5: a47a636d98b417fda8cb02115c740428
Data for: Hermetic bags minimize postharvest loss during at least four successive cycles of storage in Mexican highlands
Nov 22, 2024 - CIMMYT Research Data
Odjo, Sylvanus; Verhulst, Nele, 2024, "Data for: Hermetic bags minimize postharvest loss during at least four successive cycles of storage in Mexican highlands", https://hdl.handle.net/11529/10549123, CIMMYT Research Data & Software Repository Network, V1
CIMMYT implemented a study at its station in Texcoco to compare the effectiveness of 5 different storage technologies in minimizing grain loss during four consecutive storage cycles. In each storage cycle, the conventional practice of farmers in the area, polypropylene bag, was c...
AppendixA-Database-ReusingHermeticBags-2022-09-19.xlsx
Nov 22, 2024 - Data for: Hermetic bags minimize postharvest loss during at least four successive cycles of storage in Mexican highlands
MS Excel Spreadsheet - 15.5 KB - MD5: 911e90de9cb317dbd43455b3fe721f6b
Spanish-English Glossary.xlsx
Nov 20, 2024 - Historical Agronomic Dataset - Insights from Mexico (2012 - 2022)
MS Excel Spreadsheet - 26.0 KB - MD5: dd563248cd46a62c7ce15be01c9b726e
BIO-R (Biodiversity analysis with R for Windows) Version 3.3
Nov 20, 2024 - CIMMYT Research Software
Pacheco-Gil, Rosa Ángela; Alvarado, Gregorio; Rodríguez, Francisco; Burgueño, Juan, 2016, "BIO-R (Biodiversity analysis with R for Windows) Version 3.3", https://hdl.handle.net/11529/10820, CIMMYT Research Data & Software Repository Network, V14
BIO-R is a set of R programs that do biodiversity analysis of molecular data, in order to calculate heterozygosity, diversity among and within groups, shannon index, number of effective allele, percent of polymorphic loci, Rogers distance, Nei distance, cluster analysis and multi...
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