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Federal
Food and Nutrient Database for Dietary Studies (FNDDS)
Department of Agriculture —
[Note: Integrated as part of FoodData Central, April 2019.] USDA's Food and Nutrient Database for Dietary Studies (FNDDS) is a database that is used to convert food... -
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
Data from: Fall diet supplements have delayed and context-dependent effects on honey bee (Hymenoptera: Apidae) colony size and profit
Department of Agriculture —
Colonies, apiaries, and diet treatments Colonies used in this study were part of an existing commercial beekeeping operation. The colonies were on pallets containing... -
Federal
Data from: Plant strategies for maximizing growth during drought and drought recovery in Solanum melongena L. (eggplant)
Department of Agriculture —
Data usage: This data represents the collection of physiological and biometric data of above- and below-ground plant traits in four species of Solanum melongena of... -
Federal
Food Patterns Equivalents Database (FPED)
Department of Agriculture —
USDA’s Food Patterns Equivalents Database (FPED) converts the foods and beverages in the Food and Nutrient Database for Dietary Studies to the 37 USDA Food Patterns... -
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
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
Data and code from: Severity of charcoal rot disease in soybean genotypes inoculated with <i>Macrophomina phaseolina</i> isolates differs among growth environments
Department of Agriculture —
This dataset includes all the raw data and all the R statistical software code that we used to analyze the data and produce all the outputs that are in the figures,... -
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: 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
<b>Soil, crop, and weed communities as affected by soil erosion and topsoil replacement in a Mollisol landform (a six-year soil-landscape rehabilitation study)</b>
Department of Agriculture —
These data provide field measurements at two geographical sites of plant and soil as affected by (a) tillage and water erosion and (b) replacement of translocated... -
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
SGS-LTER Effects of grazing on ecosystem structure and function (GZTX): Net Primary Production on the Central Plains Experimental Range, Nunn, Colorado, USA 1992-2011, ARS Study Number 32
Department of Agriculture —
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State... -
Federal
Data From: Vertical and temporal flight patterns of coffee berry borer (Coleoptera: Curculionidae) in Hawaii
Department of Agriculture —
These data are from a study that characterized the height and time of day that coffee berry borer (CBB, Hypothenemus hampei) fly in commercial coffee fields located... -
Federal
Data from: Vegetative Buffer Strips for Reducing Herbicide Transport in Runoff: Effects of Buffer Width, Vegetation, and Season
Department of Agriculture —
The effectiveness of vegetative buffer strips (VBS) for reducing herbicide transport has not been well documented for runoff prone soils. A multi‐year plot‐scale... -
Federal
Agricultural Land Management Alternative with Numerical Assessment Criteria (ALMANAC) Simulation Model
Department of Agriculture —
The Agricultural Land Management Alternative with Numerical Assessment Criteria (ALMANAC) model simulates crop growth, competition, light interception by leaves,... -
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
SGS-LTER Effects of grazing on ecosystem structure and function (GZTX): Bite Counts on the Central Plains Experimental Range, Nunn, Colorado, USA 1993-2008, ARS Study Number 32
Department of Agriculture —
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State... -
Federal
Data from: Host plant water deficit stress impairs reproduction and development of the galling fly (Parafreutreta regalis), a biological control agent of Cape-ivy (Delairea odorata)
Department of Agriculture —
Data from choice and no-choice tests associated with the paper cited below. Drought leading to water deficit stress is known to reduce performance of galling insects....