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Data

We provide current and historical surface-water, groundwater, water quality, water use, and ecological data in various formats (map, graphical, tabular).

Filter Total Items: 146

Soil-Water-Balance (SWB) model data sets for the Greater Wake County area, North Carolina, 1981 - 2070

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

Target-Chemical Concentration Results of Mixed-Organic/Inorganic Chemical Exposures in Puerto Rico Tapwater, 2017 to 2018

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

Associated data for the Triangle Area Water Supply Monitoring Project, North Carolina, October 2017 - September 2019

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).

Streamwater constituent load data, models, and estimates for 15 watersheds in DeKalb County, Georgia, 2012-2016

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

Pesticide and Pharmaceutical Exposure Data for Select Streams within Great Smoky Mountains National Park, 2019

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

Indicators of Hydrologic Alteration in North Carolina Catchments

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

Microbial Source Tracking Marker Concentrations in Congaree National Park in 2017-2019, South Carolina, USA

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.

Target-Chemical Concentration Results of Mixed-Organic/Inorganic Chemical Exposures in Cape Cod, Massachusetts Tapwater, 2018

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

Single-beam bathymetric survey of the French Broad River near the Interstate-26 bridge located South of Asheville, NC - June 2019, Pre-construction

The North Carolina Department of Transportation (NCDOT) began work on a highway widening project on Interstate-26 (I-26) in January 2020. The French Broad River flows adjacent to and under I-26 in the project area, located in Buncombe County of North Carolina. The NCDOT identified channel and streambank morphology as a potential indicator they were interested in monitoring at three focus areas to

Groundwater Well Yield in Wake County, North Carolina

The U.S. Geological Survey, in cooperation with Wake County Environmental Services, initiated a comprehensive groundwater resource investigation to better understand the quantity and quality of groundwater in Wake County, North Carolina. In 2020, as part of the investigation, groundwater records were compiled electronically from 7,689 wells in and within five miles of Wake County and groundwater y

Land Cover Basin Characteristics Rasters for South Carolina StreamStats 2021

In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey calculated four land cover basin characteristics rasters as part of preparing the South Carolina StreamStats 2021 application. These datasets are raster representations of impervious surface, developed, forested, and storage land cover attributes within the South Carolina StreamStats 2021 study area, an

Concentrations of Pesticide, Pharmaceutical, and Organic Wastewater Contaminants from a Multi-Regional Assessment of Wadeable USA Streams, 2014-17

Human-use pharmaceutical, pesticide, and wastewater indicator compounds were analyzed at the U.S. Geological Survey, National Water Quality Laboratory, Denver, Colorado, in wadeable streams in 4 Regional Stream Quality Assessments: Northeast (NESQA), Southeast (SESQA), Pacific Northwest (PNSQA) and California (CSQA). Multiple (with few exceptions) samplings occurred at each site, during base flow,