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Federal
Data from: The influence of active video game play upon physical activity and screen-based activities in sedentary children
Department of Agriculture —
Includes 24 hour recall data that children were instructed to fill-out describing the previous day’s activities at baseline, weeks 2 and 4 of the intervention, after... -
Federal
UAV image and ground data of two citrus 'Valencia' orange (<i>Citrus</i> sinensis [L.] Osbeck) rootstock trials
Department of Agriculture —
The data are UAV (Unmanned Aerial Vehicle) and individual tree ground measurements collected from 2 citrus rootstock trials at the U.S. Horticultural Research... -
Federal
Data From: Gamma-Spectroscopy Method for Soil Water Content Estimation in an Agricultural Field
Department of Agriculture —
Gamma-ray spectroscopy (GRS) enables continuous estimation of soil water content (SWC) at the subfield scale with a noninvasive sensor. Hydrological applications,... -
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
HoloBee Database v2016.1
Department of Agriculture —
Organisms living in honey bees and honey bee colonies form large associative holobiont communities that are integral to bee biology. High-throughput sequencing... -
Federal
The Bronson Files, Dataset 8, Field 113, 2016
Department of Agriculture —
Dr. Kevin Bronson provides this dataset representing the first of three consecutive years of cotton and nitrogen management experimentation in Field 113. Included, is... -
Federal
USDA Nutrient Data Set for Retail Meat Cuts: Beef, Lamb, Pork and Veal
Department of Agriculture —
The United States Department of Agriculture (USDA) Nutrient Data Laboratory (NDL), in collaboration with the National Cattlemen's Beef Association, National Pork... -
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 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
Soil - Plant - Atmosphere - Water Field & Pond Hydrology
Department of Agriculture —
SPAW is a daily hydrologic budget model for agricultural fields and ponds (wetlands, lagoons, ponds and reservoirs). Included are irrigation scheduling and soil... -
Federal
Data from: The survival and growth of honey bee (Hymenoptera: Apidae) colonies overwintered in cold storage: the effects of time and colony location
Department of Agriculture —
The data provided is from a study on overwintering honey bee colonies using cold storage. Colonies were summered in two different geographic regions of the USA: South... -
Federal
APLE : Annual Phosphorus Loss Estimator Tool
Department of Agriculture —
APLE is a Microsoft Excel spreadsheet model that runs on an annual time-step and estimates field-scale, sediment bound and dissolved P loss (kg ha−1) in surface... -
Federal
Current and projected research data storage needs of Agricultural Research Service researchers in 2016
Department of Agriculture —
The USDA Agricultural Research Service (ARS) recently established SCINet , which consists of a shared high performance computing resource, Ceres, and the dedicated... -
Federal
Data from: Comparative assessment of colony size, hive weight changes, thermoregulation, and within-hive CO2 for mite resistant and Italian honey bee stocks
Department of Agriculture —
These experiments were conducted to explore the differences among different bee stock in terms of colony-level behavior, as reflected in colony size, hive weight... -
Federal
UAV image and ground data of citrus 'Bingo' mandarin hybrid (<i>Citrus </i>reticulata, Blanco) rootstock trial
Department of Agriculture —
The data are UAV ( (Unmanned Aerial Vehicle) and individual tree ground measurements collected in 2021 of 206 trees that were part of a citrus rootstock trial at the... -
Federal
Data from: Assessing agronomic and physiological traits during reproductive developmental stages for breeding Upland drought tolerant cotton
Department of Agriculture —
Developing new cultivars with drought resilience is difficult for cotton breeders/geneticists, because there is a lack of knowledge of which traits to target for... -
Federal
Persistence of antibiotic resistance genes in beef cattle backgrounding environment after cessation of operation
Department of Agriculture —
Datasheet for the abundance of total bacteria, gram positive indicator bacteria, horizontal gene transfer indicator genes and antibiotic resistance genes in the soil... -
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
Evapotranspiration, Irrigation, Dew/frost - Water Balance Data for The Bushland, Texas Maize for Grain Datasets
Department of Agriculture —
This dataset contains water balance data for each growing season (year) when maize (Zea mays, L., also known as corn in the United States) was grown for grain at the... -
Federal
Data from: Efficacy of Inactivated and RNA Particle Vaccines in Chickens Against Clade 2.3.4.4b H5 Highly Pathogenic Avian Influenza in North America
Department of Agriculture —
Tabulated individual data points for data reported in the associated publication: Spackman E, Suarez DL, Lee CW, Pantin-Jackwood MJ, Lee SA, Youk S, Ibrahim S....