Data from: Draft genome sequences of eight streptogramin-resistant Enterococcus species isolates from animal and environmental sources in the United States

Draft genome sequences of five Enterococcus faecium, two Enterococcus hirae, and one Enterococcus gallinarum from enviromental sources and chicken carcass rinsates. Isolates were selected for their resistance to the streptogramin antibiotic, Quinupristin-Dalfopristin and were all collected in the United States between 2001 and 2004. Antimicrobial resistance genes were identified conferring resistance to the macrolide-lincosamide-streptogramins, aminoglycosides, tetracycline, beta-lactams, and glycopeptides.

Genomics and Genetics

Wind Erosion Prediction System (WEPS)

This site provides access to the WEPS software version used for official purposes by NRCS field offices and Technical Service providers. NRCS developed and maintains the components of the WEPS Databases and information on this site. The USDA-Agricultural Research Service is the lead agency for developing the science in the WEPS model and the model interface. WEPS predicts many forms of soil erosion by wind such as saltation-creep and suspension including PM-10.

Agroecosystems & Environment

Rocky Mountain Research Station Air, Water, & Aquatic Environments Program

The Air, Water, and Aquatic Environments (AWAE) research program is one of eight Science Program areas within the Rocky Mountain Research Station (RMRS). Our science develops core knowledge, methods, and technologies that enable effective watershed management in forests and grasslands, sustain biodiversity, and maintain healthy watershed conditions.

Maps and Multimedia

Ecoregions of North America

Ecoregions are identified by analyzing the patterns and composition of biotic and abiotic phenomena that affect or reflect differences in ecosystem quality and integrity. These phenomena include geology, landforms, soils, vegetation, climate, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another regardless of the hierarchical level. A Roman numeral classification scheme has been adopted for different hierarchical levels of ecoregions, ranging from general regions to more detailed. Included in this dataset is additional details about each level, and downloadable maps and GIS data files.

Maps and Multimedia

IPM Images: The Source for Agriculture and Pest Management Pictures

A joint project of The University of Georgia - Warnell School of Forestry and Natural Resources and College of Agricultural and Environmental Sciences, The Center for Invasive Species and Ecosystem Health, USDA National Institute of Food and Agriculture, Southern Integrated Pest Management Center, Southern Plant Diagnostic Network, and USDA/APHIS Identification Technology Program, IPM Images image categories include: Commodity Groups; Taxonomy; Biological Controls; Damage Types; and Diseases.

Maps and Multimedia

The Porcine Translational Research Database

This database contains functional information on genes commonly studied in humans, pigs, and rodents, including more than 2,300 sequenced at DGIL. Each entry has been manually-annotated and is linked to other porcine databases as well as Homologene, InnateDb and Gene Ontology. 

International Soil Carbon Network

The ISCN is a self-chartered, international, collaborative organization composed of scientists who recognize a need for and value in large-scale synthesis of soil carbon science.

Agroecosystems & Environment

NUOnet (Nutrient Use and Outcome Network) database

The Nutrient Uptake and Outcomes (NUOnet) database will be able to help establish baselines on nutrient use efficiencies; processes contributing to nutrient losses; and processes contributing to optimal crop yield, nutritional and organoleptic quality. This national database could be used to calculate many different environmental indicators from a comprehensive understanding of nutrient stocks and flows.

Agroecosystems & Environment

The Animal Quantitative Trait Loci Database (Animal QTLdb)

The Animal Quantitative Trait Loci (QTL) Database (Animal QTLdb) strives to collect all publicly available trait mapping data, i.e. QTL (phenotype/expression, eQTL), candidate gene and association data (GWAS), and copy number variations (CNV) mapped to livestock animal genomes, in order to facilitate locating and comparing discoveries within and between species. New data and database tools are continually developed to align various trait mapping data to map-based genome features such as annotated genes.

Ag Data Commons