Data from: Use of long-read sequencing simulators to assess real-world applications for food safety
The goal of this project was to use NanoSim-H software to simulate Oxford Nanopore sequencing reads to assess the feasibility of sequencing-based foodborne pathogen detection and guide experimental design. Sequencing reads were simulated for STEC, *L. monocytogenes*, and a 1:1 combination of STEC and *Bos taurus* genomes using NanoSim-H. This dataset includes all of the simulated reads generated by the project in fasta format.
- 57x bin
Data and code from: Cover crop and crop rotation effects on tissue and soil population dynamics of Macrophomina phaseolina and yield in no-till system - V2
This dataset contains all code and data necessary to reproduce the analyses in the manuscript: Mengistu, A., Read, Q. D. Cover crop and crop rotation effects on tissue and soil population dynamics of *Macrophomina phaseolina* and yield in no-till system. The .zip archive `cropping-systems-1.0.zip` contains data and code files.
Rangeland Analysis Platform: Monitor rangelands across the USA
The Rangeland Analysis Platform ( rangelands.app) is a free online application that provides simple and fast access to geospatial vegetation data for U.S. rangelands. The tool was developed to provide landowners, resource managers, conservationists, and scientists access to data that can inform land management planning, decision making, and the evaluation of outcomes. The Rangeland Analysis Platform (RAP) uses innovative cloud computing technology to provide maps and analysis opportunities straight to your desktop, delivered securely and instantaneously.
Data and code from: Synergistic soil, land use, and climate influences on wind erosion on the Colorado Plateau: Implications for management - v2
This dataset includes code and data to recreate analysis from the manuscript "Nauman, T. W., Munson, S. M., Dhital, S., Webb, N. P., & Duniway, M. C. (2023). Synergistic soil, land use, and climate influences on wind erosion on the Colorado Plateau: Implications for management. Science of The Total Environment (p. 164605). https://doi.org/10.1016/j.scitotenv.2023.164605". This includes R statistical code, aeolian monitoring data and associated soil, land use, and climate explanatory data for each site, and a raster map showing areas modeled to have more sediment transport.
- 2x zip
Elderberry syrup buffer modeling data
Data for the article: Modeling the Formulation pH of Elderberry Syrup with multiple weak acids, https://doi.org/10.1111/1750-3841.16664. To develop methods to assess the influence of the ingredients of an acidified elderberry syrup on product pH., a total of 16 model syrup formulations containing elderberry juice with mixed acids (malic, acetic, and ascorbic) and having pH values between 3 and 4 were prepared. The pH values of the formulations were compared to predicted values from combined buffer models of the individual ingredients. Regression analysis indicated an excellent fit of the observed and predicted pH data, with a root mean square error of 0.076 pH units. The results indicated that buffer models may be useful for in silico estimates of how the ingredients in acid and acidified foods may influence pH, thus aiding in product development and safety assessments.
Thirteen-year Stover Harvest and Tillage Effects on Corn Agroecosystem Sustainability in Iowa
This dataset includes soil health, crop biomass, and crop yield data for a 13-year corn stover harvest trial in central Iowa.
Data and code from: Synergistic soil, land use, and climate influences on wind erosion on the Colorado Plateau: Implications for management
This dataset includes code and data to recreate analysis from the manuscript "Nauman, T. W., Munson, S. M., Dhital, S., Webb, N. P., & Duniway, M. C. (2023). Synergistic soil, land use, and climate influences on wind erosion on the Colorado Plateau: Implications for management. Science of The Total Environment (p. 164605). https://doi.org/10.1016/j.scitotenv.2023.164605". This includes R statistical code, aeolian monitoring data and associated soil, land use, and climate explanatory data for each site, and a raster map showing areas modeled to have more sediment transport.
- 2x zip
Data and code from: Stem borer herbivory dependent on interactions of sugarcane variety, associated traits, and presence of prior borer damage
This dataset contains all the data and code needed to reproduce the analyses in the manuscript:
Penn, H. J., & Read, Q. D. (2023). Stem borer herbivory dependent on interactions of sugarcane variety, associated traits, and presence of prior borer damage. Pest Management Science. https://doi.org/10.1002/ps.7843
Included are two .Rmd notebooks containing all code required to reproduce the analyses in the manuscript, two .html file of rendered notebook output, three .csv data files that are loaded and analyzed, and a .zip file of intermediate R objects that are generated during the model fitting and variable selection process.