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Federal
Severe Injury Report (SIR) Data
Department of Labor —
Through CFR 1904.39, OSHA also has the primary responsibility of cleaning, compiling and publishing Severe Injury Report (SIR) data. These data include employer... -
Federal
USDA-ARS Tucson, Arizona 2014-2022 Data Reservoir of Field Experiments with Managed Honey Bee Colonies: Annotated Hive Frame Photos: Dataset I
Department of Agriculture —
In 2014โ2022, USDA-ARS Tucson, AZ, by itself and in collaboration with other precision apiculture (PA) research programs, including the PA program at Utah State... -
Federal
Data and Code from: Smart vision-based monitoring system for AI-driven moth population estimation using camera-equipped trap imaging
Department of Agriculture —
Real-time, image-based monitoring for stored product insect pests could increase timely treatments and protection for postharvest products throughout the supply... -
Federal
NIST/NIJ DART-MS Data Interpretation Tool
National Institute of Standards and Technology —
Direct Analysis in Real Time Mass Spectrometry (DART-MS) is an analytical chemistry technology that is being increasingly employed in forensic applications. This form... -
Federal
Data from: Non-native scale insects (Hemiptera: Coccomorpha) of the United States and their impact on U.S. agriculture
Department of Agriculture —
Supplementary data files, figures, tables, and a list of R code used in analyses. These data, figures, and tables relate to the article entitled "Non-native scale... -
Federal
Data and code from: A nitric oxide reductase is a key enzyme target for eliminating fungal emissions of nitrous oxide
Department of Agriculture —
Brief description of study aimsFungal denitrification is a biogeochemical process that releases nitrous oxide (N2O), a potent greenhouse gas. The NOR1 gene is part of... -
Federal
Data and code from: Virome of <i>Solenopsis invicta</i> (Hymenoptera: Formicidae): intercontinental differences in the native and introduced ranges
Department of Agriculture —
This dataset contains all the raw data and R statistical software code needed to reproduce the maps and statistical analyses presented in the associated manuscript,... -
Federal
TEAMER: Experimental Validation and Analysis of Deep Reinforcement Learning Control for Wave Energy Converters
Department of Energy —
Through this TEAMER project, Michigan Technological University (MTU) collaborated with Oregon State University (OSU) to test the performance of a Deep Reinforcement... -
Federal
Data and code from: AI-based image profiling and detection for the beetle byte quintet using Vision Transformer (ViT) in advanced stored product infestation monitoring
Department of Agriculture —
Managing beetles that infest stored products is crucial for reducing losses in harvest supply chains and improving food security and safety. Successful pest... -
Federal
Virtual Flow Solver - Geophysics: A 3D Incompressible Navier-Stokes Solver
Department of Energy —
Virtual Flow Solver - Geophysics (VFS-Geophysics) is a three-dimensional (3D) incompressible Navier-Stokes solver based on the Curvilinear Immersed Boundary (CURVIB)... -
Federal
Data from: "Genome report - chromosome-scale genome assembly of the Olive fly Bactrocera oleae (Diptera-Tephritidae)"
Department of Agriculture —
The olive fruit fly, Bactrocera oleae (Rossi) (Diptera: Tephritidae), is a specialist of fruits of the genus Olea and is a major pest of commercial olives due to... -
Federal
Data and code from: Effects of an Unblanched Peanut and/or Peanut Skin Diet on Egg Quality, Egg Lipid Chemistry and Performance of Hens Housed in a Cage-Free Environment
Department of Agriculture —
SummaryThis dataset includes all raw data (.csv) and R software code (.Rmd notebook and rendered .html output) needed to reproduce the results presented in the... -
Federal
Code for: Understanding genetic architecture overcomes tradeoffs between seed quality and insect resistance
Department of Agriculture —
Linkage map creation and functions.R R code for creating linkage maps using R/qtl. Code is annotated. Additional resources can be found at: https://rqtl.org/tutorials/ -
Federal
Data and code from: Application variables that affect efficacy of disinfestants sprayed on different substrate materials to control <i>Colletotrichum siamense</i>
Department of Agriculture —
SummaryThis dataset includes all data and code required to reproduce the analyses presented in the manuscript Application variables that affect efficacy of... -
Federal
Data from: Crop Sequence Complexity of the Major Land Resource Areas (MLRA) in the Contiguous United States (CONUS)
Department of Agriculture —
Quantifying spatial and temporal dynamics of crop sequences is often accomplished through crop biodiversity metrics. Existing metrics are confounded by crop sequence... -
Federal
Hangry bees: Pollen dearth impacts honey bee (<i>Apis mellifera</i>) behavior and physiology
Department of Agriculture —
Nutritional deprivation is known to contribute to increased honey bee mortality, physiological stress, aberrant behaviors, and disease incidence. To investigate the... -
Federal
Data from: Time-lapse ensemble-based electrical resistivity tomography to monitor water flow from managed aquifer recharge operations
Department of Agriculture —
Various managed aquifer recharge strategies, such as drywells, are being used in the California Central Valley (CCV) to replenish groundwater resources that have been... -
Federal
Data and code from: Distribution of <i>Pseudomonas amygdali</i> pv. <i>loropetali</i> in the twig phylloplane of <i>Loropetalum chinense</i> shrubs in ornamental plant nurseries
Department of Agriculture —
This dataset contains all raw data and R statistical software code needed to reproduce the data processing, statistical model fitting, and data/model visualizations... -
Federal
Data and code from: <i>Tribolium cas</i><i>taneum </i>and <i>T. confusum</i> are preferentially attracted to decomposing wood, their putative historical host
Department of Agriculture —
Tribolium castaneum and T. confusum are important stored grain pests, yet little is known about their life history outside the stored grain environment. Like related... -
Federal
Data from: Are historical trends in weather consistent with model predictions in the Central United States?
Department of Agriculture —
This dataset includes the monthly and daily data used for the analysis of historical and future trends in precipitation and temperature at five Long-Term...