Data

The U.S. Geological Survey (USGS) computed rasters of pre-solved values for the watersheds draining to the pixel delineation point representing the watershed's mean maximum 30-minute precipitation occurring on average once in 2 years from NOAA Atlas 14. These values will be served in the National StreamStats Fire-Hydrology application to describe delineated watersheds ( https://streamstats.usgs.go

This dataset contains hourly average groundwater level time-series for 19 monitoring wells at the Panola Mountain Research Watershed (PMRW) from January 2001 to October 2002. The data was used in a hydrologic modeling study to test a model formulation that allowed for bi-direction fluxes between groundwater and surface water in a bucket type hydrologic model. Some wells had missing data so record

The U.S. Geological Survey's SPAtially Referenced Regression On Watershed attributes (SPARROW) for the Southeastern United States was used to simulate changes in total nitrogen, total phosphorus and suspended sediment load in streams under two scenarios: (1) where all forests are urbanized and (2) where all forests are urbanized and runoff is adjusted based on a non-forested landscape. This data r

Site data contained in the ScrIntrvls_AllSrcRefs_AllWellsRev.csv dataset define the top and bottom altitudes of well screens in 64,763 irrigation wells completed in the Mississippi River Valley alluvial aquifer (MRVA) that constitute a production zone in the Mississippi Alluvial Plain (MAP) extending across the midwestern and southern United States from Illinois to Louisiana. Each well entry conta

This data release has been deprecated. The new version can be found at https://doi.org/10.5066/P95XKK5V. A Soil-Water-Balance (SWB) model was developed to estimate annual net infiltration below the root-zone for the Greater Wake County Area, North Carolina for the period 1981 through 2019 and project future estimates from 2020 through 2070. The model was developed as part of a study to assess g

This dataset provides the water-quality results for organic and inorganic concentrations analyzed from samples collected at domestic and commercial tapwater faucets and one spring, sourced in Puerto Rico. Samples were collected in October, 2017 and August and December, 2018 from 19 locations. Samples were analyzed at various U.S. Geological Survey laboratories: the National Water Quality Laborator

These datasets contain information used to compile the report (USGS OFR 2020-xxxx). It contains water-quality data, analytical results of field blanks, and analytical results for environmental and replicate sample sets for surface-water samples collected during water years 2018 and 2019 for the Triangle Area Water Supply Monitoring Program (TAWSMP).

This data release contains eight datasets and metadata related to streamwater constituent load estimation and E. coli bacteria concentration predictions at 15 watersheds in DeKalb County, Georgia for 2012 to 2016 (the water-quality model calibration data goes through 9/22/2017 and the water-quality assurance samples goes through 11/7/2017). Loads were estimated for 15 constituents: biochemical oxy

This dataset included the concentration results (in nanograms per liter) for 328 pharmaceutical and pesticide compounds analyzed within the Great Smoky Mountain National Park, Tennessee and North Carolina, in 2019. Two samples were collected (July and September) at 15 locations within the park, and one location at the park boundary. Samples were analyzed at the National Water Quality Laboratory (N

Alterations to stream hydrology, which includes changes in stream geomorphology, are primary impacts of anthropogenic disruption. In North Carolina, hydrological alterations lead to environmental impacts through degraded ecosystems and water quality. In collaboration with the North Carolina Department of Environmental Quality, Division of Mitigation Services (DMS), the USGS South Atlantic Water Sc

The dataset contains quantitative polymerase chain reaction data for microbial source tracking markers screened on water samples collected from streams and rivers within and bounding Congaree National Park from samples collected throughout the year from December 2017 through June 2019. The number of samples collected per event ranged from 4-16 over the span of 11 sample events.

This dataset provides the water-quality results for organic and inorganic concentrations analyzed from samples collected at residential tapwater faucets, sourced from private drinking water wells in Cape Cod, Massachusetts. Samples were collected in July and August, 2018 from 20 locations. Samples were analyzed at various U.S. Geological Survey laboratories: the National Water Quality Laboratory i