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Federal
Thirteen-year Stover Harvest and Tillage Effects on Corn Agroecosystem Sustainability in Iowa
Department of Agriculture —
This dataset includes soil health, crop biomass, and crop yield data for a 13-year corn stover harvest trial in central Iowa. Following the release in 2005 of the... -
Federal
USDA-ARS Colorado Maize Water Productivity Dataset 2012-2013
Department of Agriculture —
The USDA-Agricultural Research Service carried out an experiment on water productivity in response to seasonal timing of irrigation of maize (Zea mays L.) at the... -
Federal
NUOnet (Nutrient Use and Outcome Network) database
Department of Agriculture —
NUOnet Vision: Efficient use of nutrients to optimize production and product quality of food for animals and humans, fuel and fiber in a sustainable manner that... -
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 from: A century of wild bee sampling: historical data and neural network analysis reveal ecological traits associated with species loss.
Department of Agriculture —
Contemporary data (2017/2018): An open area on the north side of the ESGR (GPS coordinates: 42.461808, -84.011128) was the primary site for this study as it... -
Federal
Data from: Quality controlled research weather data – USDA-ARS, Bushland, Texas
Department of Agriculture —
[ NOTE – 2022/05/06: this dataset is superseded by an updated version https://doi.org/10.15482/USDA.ADC/1526433 ] The dataset contains 15-minute mean weather data... -
Federal
GRACEnet (Greenhouse gas Reduction through Agricultural Carbon Enhancement network)
Department of Agriculture —
GRACEnet (Greenhouse gas Reduction through Agricultural Carbon Enhancement network) is a research program initiated in the early 2000s . Goals are to better quantify... -
Federal
Data and code from: Cultivation and dynamic cropping processes impart land-cover heterogeneity within agroecosystems: a metrics-based case study in the Yazoo-Mississippi Delta (USA)
Department of Agriculture —
This dataset contains data and code from the manuscript:Heintzman, L.J., McIntyre, N.E., Langendoen, E.J., & Read, Q.D. (2024). Cultivation and dynamic cropping... -
Federal
Data from: Hyperspectral reflectance and machine learning for multi-site monitoring of cotton growth
Department of Agriculture —
Two field research projects focused on cotton were conducted at the El Reno, OK and Temple, TX USDA-ARS research stations. The study at the Southern Plains research... -
Federal
Data from: Mixed responses of tenebrionid beetles to solar energy development in the Mojave Desert
Department of Agriculture —
Data files for manuscript titled "Mixed responses of tenebrionid beetles to solar energy development in the Mojave Desert".Contains 2 .csv files: Metadata and Master... -
Federal
Data from: Depth Matters: Soil pH and Dilution Effects in the Northern Great Plains
Department of Agriculture —
Near-surface soil acidification is becoming prevalent in dryland cropping systems throughout the northern Great Plains. To ensure management recommendations are... -
Federal
Soil erosion and organic matter for central Great Plains cropping systems under residue removal
Department of Agriculture —
This study examined average annual changes in soil erosion from rainfall and wind forces, and trends in soil organic carbon (SOC). The diversity of geo-climatic land... -
Federal
Data from: Spatial and temporal features of snow water equivalent across a headwater catchment in the Sierra Nevada
Department of Agriculture —
Accompanying dataset for: “Spatial and Temporal Features of Snow Water Equivalent Across a Headwater Catchment in the Sierra Nevada”Abstract:Here, we present the... -
Federal
Data from: Tillage and cropping effects on soil quality indicators in the northern Great Plains
Department of Agriculture —
Cropping systems in the northern Great Plains must possess a resilient soil resource to be sustainable. Detecting the effects of management on soil properties in this... -
Federal
Data from: Carbon Fluxes from a Spring Wheat-Corn-Soybean Crop Rotation Under No-Tillage Management
Department of Agriculture —
The increase in corn (Zea mays L.) and soybean [Glycine max (L.) Merr.] production in rainfed cropping systems of the northern Great Plains has altered the delivery... -
Federal
Data from: Development of PLEAD: a database containing event-based runoff P loadings from agricultural fields
Department of Agriculture —
The P Loss in runoff Events from Agricultural fields Database (PLEAD) is a compilation of event-based, field-scale dissolved and/or total P loss runoff loadings from... -
Federal
Data and code from: Extending irrigation reservoir histories for improved groundwater modeling and conjunctive water management in two Arkansas critical groundwater areas
Department of Agriculture —
This dataset contains all data and code required to reproduce the time-to-event analysis in the associated manuscript. More detail is found in the associated... -
Federal
Data from: Site-specific management of cotton root rot using airborne and high resolution satellite imagery and variable rate technology
Department of Agriculture —
Cotton root rot is a century-old cotton disease that now can be effectively controlled with Topguard Terra fungicide. Because this disease tends to occur in the same... -
Federal
Code and limited data for: Rotational complexity increases cropping system output under poorer growing conditions
Department of Agriculture —
This work was conducted by the Diverse Rotations Improve Valuable Ecosystem Services (DRIVES) project, based in the USDA-ARS Sustainable Agricultural Systems Lab in... -
Federal
Inventory of online public databases and repositories holding agricultural data in 2017
Department of Agriculture —
United States agricultural researchers have many options for making their data available online. This dataset aggregates the primary sources of ag-related data and...