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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
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: 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
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... -
Federal
Soils Data for North Dakota Mined Land Reclamation Experiments in the 1970’s Using Soil Respreading
Department of Agriculture —
In the early 1970’s, it was determined that the most feasible way to reclaim lands disturbed by coal surface mining in the Northern Great Plains region was through... -
Federal
Data from: Draft Genome Assembly of Passalora sequoiae a Needle Blight Pathogen on Leyland Cypress
Department of Agriculture —
The objective was to generate a high-quality draft assembly of the whole genome as a resource for future applications such as temporal and spatial dispersal studies... -
Federal
Data from: Hemipteran Species in Row Crops of the Brazos River Bottom in Central Texas
Department of Agriculture —
Stink bug and plant bug species, commonly known as hemipterans, continue as major pests of cotton and other row crops in the U.S. Cotton Belt, but the composition of... -
Federal
Data from: Range size, local abundance and effect inform species descriptions at scales relevant for local conservation practice
Department of Agriculture —
Understanding species abundances and distributions, especially at local to landscape scales, is critical for land managers and conservationists to prioritize... -
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: Multi-year deployment of a Single Frequency High-Frequency acoustic attenuation system for measuring fine suspended sediments in stream channels
Department of Agriculture —
This is the dataset that was used to make the figures for the publication entitled "Multi-year deployment of a Single Frequency High-Frequency acoustic attenuation... -
Federal
Data from: Evaluating plant biodiversity measurements and exotic species detection in National Resources Inventory Sampling protocols using examples from the Northern Great Plains of the USA
Department of Agriculture —
Plant biodiversity data and associated soils, ecological site, and livestock management data that were collected at the USDA-ARS Northern Great Plains Research... -
Federal
Gridded 20-Year Parameterization of a Stochastic Weather Generator (CLIGEN) to Fill Gaps in Coverage South of the 40th Parallel
Department of Agriculture —
CLImate GENerator (CLIGEN) is a stochastic weather generator that produces daily and sub-daily timeseries of weather variables. This gridded CLIGEN parameterization... -
Federal
Data from: Impacts of heat stress on the accuracy of an ear-tag accelerometer for monitoring rumination and eating behavior in dairy-beef cross cattle using an automated gold standard
Department of Agriculture —
The objective of this study was to determine if a commercially available ear-tag sensor (CM; CowManager SensOor, Agis Automatisering BV) could accurately quantify...