288 datasets found for "【全新UI】交友盲盒开源H5免公众号个人易支付存取小纸条盲盒婚恋同城聊天交友主机可搭✅项目合作 二开均可 TG：saolei44✅.DxUlxLHtHDReHph"
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Federal
National Cotton Variety Test
Department of Agriculture —
The National Cotton Variety Test is an on-going standardized cotton research database originating in 1960 and covers the entire US Cotton Belt. Resources in this... -
Federal
Data from: The pathogenesis of a 2022 North American highly pathogenic clade 2.3.4.4b H5N1 avian influenza virus in mallards (Anas platyrhynchos)
Department of Agriculture —
Treatment groups of ducks were exposed to different virus doses (2, 4, 6 log10 50% egg infectious doses) and by different routes (contact or intrachoanal). The... -
Federal
Estimated spring crop yields using Flex Cropping Tool
Department of Agriculture —
Average estimated yields and associated CV values for current (2018) model runs. Based on work done by Harsimran Kaur et al in 2017. The following is from her thesis:... -
Federal
Data from: Metagenomes and Metagenome-Assembled Genomes from Ex Vivo Fecal Incubations of Six Unique Donors
Department of Agriculture —
This is a dataset consisting of donor-specific collections of 78 metagenomes (13 / donor) and 143 metagenome-assembled genomes (MAGs) representing the gut microbiomes... -
Federal
Revised Universal Soil Loss Equation, Version 2 (RUSLE2)
Department of Agriculture —
RUSLE2 is a program used to evaluate potential erosion rates at specific sites as well as guide conservation and erosion control planning. It also provides economic... -
Federal
Data from: Non-consumptive effects of parasitoids and predators in stored products: The case of <i>Theocolax elegans </i>and other field-collected predators on the foraging of lesser grain borer and rice weevil
Department of Agriculture —
InsectsBeetles used in this study were obtained from stock colonies maintained at the USDA Agricultural Research Service’s (ARS) Center for Grain and Animal Health... -
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
Growth and Yield Data for the Bushland, Texas, Soybean Datasets
Department of Agriculture —
This dataset consists of growth and yield data for each season when soybean [Glycine max (L.) Merr.] was grown for seed at the USDA-ARS Conservation and Production... -
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: Multilocus microsatellite analysis of 'Candidatus Liberibacter asiaticus' associated with citrus Huanglongbing worldwide
Department of Agriculture —
Huanglongbing (HLB) is one of the most destructive citrus diseases in the world. The disease is associated with the presence of a fastidious, phloem-limited α-... -
Federal
Data from: Deer keds and blacklegged ticks infesting ungulates in the United States: molecular detection of Bartonella spp., Rickettsia spp., Anaplasma spp., and Borrelia spp.
Department of Agriculture —
Deer keds are blood-feeding flies from which several human and animal pathogens have been detected, including the causative agent of Lyme Disease (Borrelia... -
Federal
Food Intakes Converted to Retail Commodities Databases (FICRCD)
Department of Agriculture —
Food Intakes Converted to Retail Commodities Databases (FICRCD) provide data for foods consumed in the United States national dietary intake surveys at the retail... -
Federal
Soil and Water Hub Modeling Datasets
Department of Agriculture —
The Soil and Water Hub is jointly developed by USDA Agricultural Research Service (USDA-ARS) and Texas A&M AgriLife Research, part of The Texas A&M University... -
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
Growth and Yield Data for the Bushland, Texas Alfalfa Datasets
Department of Agriculture —
This dataset consists of growth and yield data for each year when alfalfa was grown at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water... -
Federal
Annual Aboveground Net Primary Productivity by plant functional groups across grassland-shrubland ecotones at 3 sites in the Jornada Basin, 2006-ongoing
Department of Agriculture —
The objective of this ongoing study is to investigate how pulses of precipitation translate into pulses of plant aboveground net primary productivity (NPP) across... -
Federal
Data from: Thinking Like a Grassland: Challenges and Opportunities for Biodiversity Conservation in the Great Plains of North America
Department of Agriculture —
Conservation planning in the Great Plains often depends on understanding the degree of fragmentation of the various types of grasslands and savannas that historically... -
Federal
Baseline survey for beef cattle producers in the Southwest and Southern Plains
Department of Agriculture —
This data package includes survey questions from beef cattle producers collectively operating in at least 31 counties in at least 7 states (California, Illinois,... -
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),...
288 datasets found for "【全新UI】交友盲盒开源H5免公众号个人易支付存取小纸条盲盒婚恋同城聊天交友主机可搭✅项目合作 二开均可 TG：saolei44✅.DxUlxLHtHDReHph"