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Federal
X-ray CT data with semantic annotations for the paper "A workflow for segmenting soil and plant X-ray CT images with deep learning in Google’s Colaboratory"
Department of Agriculture —
Leaves from genetically unique Juglans regia plants were scanned using X-ray micro-computed tomography (microCT) on the X-ray μCT beamline (8.3.2) at the Advanced... -
Federal
The Bronson Files, Dataset 4, Field 105, 2013
Department of Agriculture —
Dr. Kevin Bronson provides this unique nitrogen and water management in wheat agricultural research dataset for compute. Ten irrigation treatments from a linear... -
Federal
Data from: Feasibility of Infiltration Galleries for Managed Aquifer Recharge in the Mississippi River Valley Alluvial Aquifer of Northeast Arkansas
Department of Agriculture —
The information in this dataset is from "Feasibility of Infiltration Galleries for Managed Aquifer Recharge in the Northeast Arkansas Delta" by Godwin et al., 2020.... -
Federal
Rainfall simulation experiments in the Southwestern USA using the Walnut Gulch Rainfall Simulator
Department of Agriculture —
Introduction Preservation and management of semi-arid ecosystems requires understanding of the processes involved in soil erosion and their interaction with plant... -
Federal
Data and code from: Comparison of in-field and laboratory-based phenotyping methods for evaluation of aflatoxin accumulation in maize inbred lines
Department of Agriculture —
This dataset contains all data and R code, in RMarkdown notebook format, needed to reproduce all statistical analysis, figures, and tables in the manuscript:Jeffers,... -
Federal
Data from: Genetic diversity, population structure, and selection of core germplasm sets from the USDA sweetpotato (Ipomoea batatas) collection
Department of Agriculture —
R scripts and associated data used to select the sweetpotato core sets described in: Slonecki, T. J., Rutter, W. B., Olukolu, B. A., Yencho, G. C., Jackson, D. M.,... -
Federal
The Bronson Files, Dataset 5, Field 105, 2014
Department of Agriculture —
Dr. Kevin Bronson provides a second year of nitrogen and water management in wheat agricultural research dataset for compute. Ten irrigation treatments from a linear... -
Federal
Data from: An Interactive R-Based Custom Quantification Program for Quantitative Analysis of Triacylglycerols in Bovine Milk
Department of Agriculture —
[Note: Title updated 2024-04-23]Liquid chromatography-mass spectrometry (LC-MS) experiment data files for bovine milk lipid extracts, standards, and blanks, in mzML... -
Federal
Data and code from: Cotton stalk management and a cover crop produce minimal effects on cotton leafroll dwarf virus
Department of Agriculture —
In 2017, cotton (Gossypium hirsutum L.) leafroll dwarf virus (CLRDV) was first reported in the United States. One CLRDV inoculum source includes the previous year’s... -
Federal
Bruner Farm Study for Resilient Economic Agricultural Practices in Ames, Iowa
Department of Agriculture —
Bruner Farm Study for Resilient Economic Agricultural Practices in Ames, Iowa Soil P analyzed by Bray P extractant. Soil K analyzed by Ammonium Acetate extractant.... -
Federal
Reynolds Creek Experimental Watershed, Idaho (Sediment)
Department of Agriculture —
Automated Sigma pump samplers were used at all RCEW gauging stations to collect instantaneous point measures of suspended-sediment concentration. The US Department of... -
Federal
Data and code from: Stem borer herbivory dependent on interactions of sugarcane variety, associated traits, and presence of prior borer damage
Department of Agriculture —
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... -
Federal
Data from: Efficient imaging and computer vision detection of two cell shapes in young cotton fibers
Department of Agriculture —
Methods Cotton plants were grown in a well-controlled greenhouse in the NC State Phytotron as described previously (Pierce et al, 2019). Flowers were tagged on the...