68 datasets found for "付费心理测试网站源码、心理测试H5变现源码、心理测评网站源码✅项目合作 二开均可 TG：saolei44✅.lWXLgJSQAtWNasN"
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Federal
Composition of Foods Raw, Processed, Prepared USDA National Nutrient Database for Standard Reference, Release 28
Department of Agriculture —
[Note: Integrated as part of FoodData Central, April 2019.] The database consists of several sets of data: food descriptions, nutrients, weights and measures,... -
Federal
USDA National Nutrient Database for Standard Reference Dataset for What We Eat In America, NHANES (Survey-SR)
Department of Agriculture —
The dataset, Survey-SR, provides the nutrient data for assessing dietary intakes from the national survey What We Eat In America, National Health and Nutrition... -
Federal
Data from: A field-scale sensor network data set for monitoring and modeling the spatial and temporal variation of soil moisture in a dryland agricultural field
Department of Agriculture —
Automated in situ soil sensor network - the data set includes hourly and daily measurements of volumetric water content, soil temperature, and bulk electrical... -
Federal
UNSODA 2.0: Unsaturated Soil Hydraulic Database. Database and program for indirect methods of estimating unsaturated hydraulic properties
Department of Agriculture —
This database contains measured soil water retention, hydraulic conductivity, and water diffusivity data, as well as pedological information of some 790 soil samples... -
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
USDA's Expanded Flavonoid Database for the Assessment of Dietary Intakes, Release 1.1 - December 2015
Department of Agriculture —
This database was developed with support from the Office of Dietary Supplements, National Institutes of Health for flavonoid intake studies. The database is a useful... -
Federal
Data from: A High-Quality Genome Assembly from a Single, Field-collected Spotted Lanternfly (Lycorma delicatula) using the PacBio Sequel II System
Department of Agriculture —
A high-quality reference genome is an essential tool for applied and basic research on arthropods. Long-read sequencing technologies may be used to generate more... -
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
USDA ARS Maize Modelling Dataset, Greeley, Colorado
Department of Agriculture —
A Modelling dataset containing a DSSAT cultivar file, AgMIPS platform dome code and USDA ARS LIRF drip irrigated field experiment in Greeley, Colorado average Maize... -
Federal
IMAP: Image Mapping & Analytics for Phenotyping
Department of Agriculture —
A set of PYTHON programs to implement image processing of ground and aerial images by offering via graphical user interface (GUI) 1) plot-level metrics extraction... -
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
AnthWest, occurrence records for wool carder bees of the genus Anthidium (Hymenoptera: Megachilidae, Anthidiini) in the Western Hemisphere
Department of Agriculture —
AnthWest is a large dataset, one of the outcomes of a comprehensive, broadly comparative study on the diversity, biology, biogeography, and evolution of Anthidium... -
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: A variety-specific analysis of climate change effects on California winegrapes
Department of Agriculture —
This folder, titled "Data," contains the MATLAB code, final products, tables, and figures used in Parker, L.E., Zhang, N., Abatzoglou, J.T. et al. A variety-specific... -
Federal
REAP Study for Resilient Economic Agricultural Practices in West Lafayette, Indiana
Department of Agriculture —
REAP Study for Resilient Economic Agricultural Practices in West Lafayette, Indiana Corn stover is an important livestock feed and will probably be a major source of... -
Federal
Data from: Yield and profit comparison of diversified versus conventional crop rotation systems in South Dakota
Department of Agriculture —
Diversified crop rotations with no-till management are considered fundamental to sustainable agroecosystems; however, associated uncertainty in economic returns may... -
Federal
Data from: Eleven years of mountain weather, snow, soil moisture and stream flow data from the rain-snow transition zone - the Johnston Draw catchment, Reynolds Creek Experimental Watershed and Critical Zone Observatory, USA. v1.1
Department of Agriculture —
Detailed hydrometeorological data from the mountain rain-to-snow transition zone are present for water years 2004 through 2014. The Johnston Draw watershed (1.8 km2),... -
Federal
USDA-ARS Tucson, Arizona 2014-2022 Data Reservoir of Field Experiments with Managed Honey Bee Colonies: Annotated Hive Frame Photos: Dataset I
Department of Agriculture —
In 2014–2022, USDA-ARS Tucson, AZ, by itself and in collaboration with other precision apiculture (PA) research programs, including the PA program at Utah State... -
Federal
Data from: No More Laborious Stem Counting: AI-powered Computer Vision Enables Identification and Quantification of Solid and Hollow Alfalfa Stems at the Pixel Level
Department of Agriculture —
The data collected for the article "No More Laborious Stem Counting: AI-powered Computer Vision Enables Identification and Quantification of Solid and Hollow Alfalfa...
68 datasets found for "付费心理测试网站源码、心理测试H5变现源码、心理测评网站源码✅项目合作 二开均可 TG：saolei44✅.lWXLgJSQAtWNasN"