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Federal
Data from: Population dynamics of an invasive forest insect and associated natural enemies in the aftermath of invasion
Department of Agriculture —
Datasets archived here consist of all data analyzed in Duan et al. 2015 from Journal of Applied Ecology. Specifically, these data were collected from annual sampling... -
Federal
Data from: Avian Sentinels Neural Nest: AI-Powered Bird Monitoring System for Real-Time Detection and Species Identification
Department of Agriculture —
Traditional bird deterrent methods, such as scarecrows, loud noise emitters, and netting, can become less effective over time due to bird habituation. This study... -
Federal
Turfgrass Soil Carbon Change Through Time: Raw Data and Code
Department of Agriculture —
Data Description Managed turfgrass is a common component of urban landscapes that is expanding under current land use trends. Previous studies have reported high... -
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
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
Ring Nematode Induction of and Sensitivity to Grapevine Phenolic Compounds
Department of Agriculture —
[NOTE - 5/31/2022: this dataset was updated to include two additional resources: Ring Nematode Phenolic Project Materials and Methods and Ring nematode phenolic... -
Federal
Data from: Investigation of Stormwater Runoff at the Sleepy Hollow Neighborhood, Fort Irwin, California
Department of Agriculture —
In arid and semi-arid region, low precipitation can lead to reliance on groundwater for our needs. A study was conducted in cooperation with the Environmental... -
Federal
Gridded 20-year Parameterization of a Stochastic Weather Generator (CLIGEN) to Fill Gaps in Coverage in the Northern Hemisphere
Department of Agriculture —
CLImate GENerator (CLIGEN) is a stochastic weather generator that produces weather time series for soil erosion modeling and various other applications. The generated... -
Federal
The Bronson Files, Dataset 9, Field 113, 2017 Cotton
Department of Agriculture —
Dr. Kevin Bronson provides a dataset representing the second of three consecutive years of cotton and nitrogen management experimentation in Field 113. Included is an...