Data Releases

Three existing groundwater flow models, using MODFLOW-2000, SEAWAT, and SHARP model codes, were used by the U.S. Geological Survey (USGS) to determine the effects of increased withdrawals, and shifts of withdrawals between 2 aquifers, on the limited water resources in the Cape May County, New Jersey. Saltwater intrusion and declining water levels have been a water-supply problem in Cape May County

The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existin

Spring viremia of carp virus (SVCV, species Carp sprivivirus), is considered one of the most lethal freshwater pathogens of cyprinid fish. Common carp Cyprinus carpio L. and koi C. carpio koi are the most susceptible host fish species. The virus was formally described in the 1960's after outbreaks occurred in carp species on the European continent, but there has been a global expansion of SVCV pri

We apply a monthly water-balance model (MWBM) to simulate components of the water balance for the period 1950-2099 under RCP4.5 and RCP8.5 for the Contiguous United States. We use the statistically downscaled MACAv2-METDATA temperature and precipitation data from 20 General Circulation Models (GCMs) from the Climate Model Intercomparison Program Phase 5 (CMIP5) as input to the water balance model.

The U.S. Geological Survey (USGS), in cooperation with the Missouri Department of Natural Resources (MDNR), collects data pertaining to the surface-water resources of Missouri. These data are collected as part of the Missouri Ambient Water-Quality Monitoring Network (AWQMN) and are stored and maintained by the USGS National Water Information System (NWIS) database. These data constitute a valuable

The data set consists of data to evaluate bias in roadside surveys of secretive marsh birds in 2008 and 2009 in wetlands in the Prairie Pothole Region of Minnesota, North Dakota, and South Dakota during three survey periods (survey number). The data set includes detection values (species heard, species seen, species seen and heard) of seven focal marsh bird species (four-letter alpha codes and sci

Arundo donax (Arundo Cane) is an invasive perennial reed that can grow more than 30 feet tall and has become established in riparian zones along rivers throughout the southwestern United States. It grows in thick stands, readily displaces native riparian habitat, and provides no habitat or food for native species in the ecosystems it disrupts (McWilliams, 2004). The Texas State Soil and Water Cons

Area estimates of land cover and land cover change are often based on reference class labels determined by analysts interpreting satellite imagery and aerial photography. Different interpreters may assign different reference class labels to the same sample unit. This dataset include land cover attributes for the year 2000 assigned by 7 image analysts, working independently of each other, to a set

These data were compiled to improve our understanding of how water, carbon (C), nitrogen (N), and phosphorus (P) interact to regulate below ground carbon cycling. Objective(s) of our study were to evaluate how soil heterotrophic carbon cycling responded to inputs of water, C, N, and P individually and interactively on the Colorado Plateau. These data represent soil microbial and CO2 respiration re

These data were acquired from two native Mojave Desert species, Ambrosia dumosa and Larrea tridentata, from 3 sites (50 m x 50 m garden plots) distributed across the differing Mojave Desert ecotones. These sites were located on the Fort Irwin National Training Center (CA), north of Joshua Tree National Park (CA), and north of Saint George (UT). Growth and survivorship data were collected monthly f

Management and disturbances have significant effects on grassland forage production. When using satellite remote sensing to monitor climate impacts such as drought stress on annual forage production, minimizing these effects provides a clearer climate signal in the productivity data. The use of an ecosystem performance approach for assessment of seasonal and interannual climate impacts on forage p