Data

The Highway-Runoff Database (HRDB) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) to provide planning-level information for decision makers, planners, and highway engineers to assess and mitigate possible adverse effects of highway runoff on the Nation's receiving waters. The HRDB was assembled by using a Microsoft Access database

This data release provides analytical and other data in support of an analysis of nitrogen transport and transformation in groundwater and in a subterranean estuary in the Eel River and onshore locations on the Seacoast Shores peninsula, Falmouth, Massachusetts. The analysis is described in U.S. Geological Survey Scientific Investigations Report 2018-5095 by Colman and others (2018). This data rel

Water-quality data were collected by the Providence Water Supply Board (PWSB) from tributaries in the Scituate Reservoir drainage area, October 2015 through September 2016 (water year 2016). These data were used to calculate instantaneous loads and yields of constituents in a report by the U.S. Geological Survey. Water-quality samples were collected by the PWSB either monthly or quarterly at fixed

This dataset contains information on the degree of potential human influence near 2228 groundwater wells in the U.S. glacial aquifer system. Data include well identification, name, latitude, longitude, potential-human-influence category, percent urban and crop land use in a 500 meter radius around each well, and measures of county-based groundwater use and irrigation.

These data were collected to evaluate groundwater/surface-water exchange in the area of a lake-bottom permeable reactive barrier and to assess changes in groundwater seepage over the period between 2004 and 2015. This data release includes geospatial datasets, comma separated values (.csv) files, and associated FGDC-compliant metadata representing data collected between 2004 and 2015 as part of a

This data release includes transect data comprising velocity and depths collected by use of an acoustic-doppler current profiler (ADCP), and vertical profile data comprising conductivity, temperature, and depth by use of a conductivity, temperature, and depth (CTD) instrument, as well as tide elevation data at specified locations in the lower Penobscot River and Penobscot Bay (the Penobscot River

These are rainfall and stream stage data collected at gaging sites in Maine. Data were collected from March to October from 2008 to 2015 and include stage data at crest stage gages, ratings to convert stage data to streamflow data, previously unpublished rainfall data, rainfall binned into specified time intervals, and storm files combining rainfall and streamflow data. Data were collected, compi

The U.S. Geological Survey (USGS), in cooperation with the New Hampshire Department of Environmental Services (NHDES) and the Department of Health and Human Services (NHDHHS), has developed tools to assess the effects of short- and long-term climate change on hydrology in New Hampshire. A USGS Scientific Investigations Report (SIR) report documents tools and datasets developed by the USGS to (1) p

Daily and annual estimates of concentrations and flux of total and dissolved phosphorus, total nitrogen, chloride, and total suspended solids are provided for the period March 1990 through November 2014 (or for less time, depending on data availability) for use in watershed models and to support trend assessments.

This dataset contains arsenic concentrations from bedrock aquifer wells located throughout New Hampshire and includes public supply wells and domestic supply wells.

This dataset contains the water-quality results from the testing of unfiltered water samples collected from 674 private wells in Connecticut for the analysis of arsenic and (or) uranium, using EPA method 200.8. All of the environmental water-quality data and georeferenced locations of the sampled wells were provided by the Connecticut Department of Public Health (CT-DPH). The water samples, collec

Existing multivariate logistic regression models that predict the probabilities of arsenic concentrations at 1, 5, and 10 micrograms per liter in bedrock aquifers of New Hampshire were tested using bedrock wells not included in the model development. This data release contains a table of measured arsenic concentrations and associated model input variables for the model testing dataset. Location