517 datasets found for "交友app婚恋交友系统源码语音聊天同城社交软件双端系统H5✅项目合作 二开均可 TG：saolei44✅.cfCLVgiRdgKZd"
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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
What We Eat In America (WWEIA) Database
Department of Agriculture —
What We Eat in America (WWEIA) is the dietary intake interview component of the National Health and Nutrition Examination Survey (NHANES). WWEIA is conducted as a... -
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
Water Quality Portal
Department of Agriculture —
The Water Quality Portal (WQP) is a cooperative service sponsored by the United States Geological Survey (USGS), the Environmental Protection Agency (EPA), and the... -
Federal
Data from: Crop- and weather-dependent yield and wind erosion benefits from a conservation practices system
Department of Agriculture —
This dataset records several responses in a large-scale field south of Mandan, ND to two agricultural management systems, aspirational (ASP; cover crops, and retained... -
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
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: Changes in plant architecture in Brazilian peppertree damaged by the biological control agent, <i>Pseudophilothrips ichini</i> Hood (Thysanoptera: Phlaeothripidae)
Department of Agriculture —
These data come from a roughly 4-year study on the growth response of a highly invasive woody plant to the damage induced by its biological control agent (an insect)... -
Federal
International Climate Benchmarks and Input Parameters for a Stochastic Weather Generator, CLIGEN
Department of Agriculture —
This dataset represents CLIGEN input parameters for locations in 68 countries. CLIGEN is a point-scale stochastic weather generator that produces long-term weather... -
Federal
SNAP - Soil Nutrient Assessment Program
Department of Agriculture —
SNAP (Soil Nutrient Assessment Program), a component of the USDA/ARS Soil and Water Hub, is a web-based tool that provides an estimate of plant-available nutrients... -
Federal
Data from: Exercise plasma metabolomics and xenometabolomics in obese, sedentary, insulin-resistant women: impact of a fitness and weight loss intervention
Department of Agriculture —
Insulin resistance has wide-ranging effects on metabolism but there are knowledge gaps regarding the tissue origins of systemic metabolite patterns, and how patterns... -
Federal
Data from USDA ARS Central Plains Experimental Range (CPER) near Nunn, CO: Cattle weight gains managed with light, moderate and heavy grazing intensities
Department of Agriculture —
The USDA-Agricultural Research Service Central Plains Experimental Range (CPER) is a Long-Term Agroecosystem Research (LTAR) network site located ~20 km northeast of... -
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
SWAT - Soil and Water Assessment Tool
Department of Agriculture —
The Soil and Water Assessment Tool (SWAT) is a public domain model jointly developed by USDA Agricultural Research Service (USDA-ARS) and Texas A&M AgriLife... -
Federal
U.S. National Insect Collection Database
Department of Agriculture —
This subset of the U.S. National Insects Collection, which is primarly housed by the Smithsonian Institution's National Museum of Natural History, comprises the... -
Federal
USDA Database for the Choline Content of Common Foods, Release 2 (2008)
Department of Agriculture —
This database contains values for six choline metabolites: Betaine, Glycerophosphocholine, Phosphocholine, Phosphatidylcholine, Sphingomyelin, and Total choline This... -
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
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...
517 datasets found for "交友app婚恋交友系统源码语音聊天同城社交软件双端系统H5✅项目合作 二开均可 TG：saolei44✅.cfCLVgiRdgKZd"