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Data

The New England Water Science Center operates over 500 real-time data collection sites throughout the six New England states. The sites collect surface-water, groundwater, water-quality, and precipitation data. Much of our real-time data is publicly available through NWIS. Additional data releases are also available on the page below.

Filter Total Items: 142

Concentrations of metals and other water quality data for the Assabet and Concord Rivers, Massachusetts, 2008

This dataset contains water-quality data for stream samples collected by the U.S. Geological Survey at 12 sites on the Assabet and Concord Rivers in eastern Massachusetts in 2008. The samples were collected monthly from June to October, 2008. The water-quality parameters and constituents include field parameters (water temperature, specific conductance, pH, and dissolved oxygen), concentrations of

Field-scale investigation of per- and polyfluoroalkyl substances (PFAS) leaching from shallow soils to groundwater at two sites in New Hampshire, 2021-2022

Per- and polyfluoroalkyl substances (PFAS) and related chemical and physical data are presented from shallow soil and groundwater at two sites in New Hampshire. The two sites, the former Brentwood Fire Training Area and White Farm, were selected because materials known to contain PFAS were used at each site. White Farm is an active farm where biosolids have been applied for several years. At the f

Maine StreamStats Foundation Data Layers

The U.S. Geological Survey (USGS), in cooperation with Maine Department of Transportation, has compiled a series of GIS datasets to be implemented into the USGS StreamStats application for the State of Maine.These data were compiled from the high-resolution National Hydrography Dataset (NHD) and the Maine Lidar-Derived Watersheds (Sturtevant and Schoen, 2022). By using these datasets users will be

Examining the influence of deep learning architecture on generalizability for predicting stream temperature in the Delaware River Basin

This data release and model archive provides all data, code, and modelling results used in Topp et al. (2023) to examine the influence of deep learning architecture on generalizability when predicting stream temperature in the Delaware River Basin (DRB). Briefly, we modeled stream temperature in the DRB using two spatially and temporally aware process guided deep learning models (a recurrent graph

Passive Seismic Horizontal-to-Vertical Spectral Ratio Measurements at Transportation Infrastructure Sites in New Hampshire, 2022

In 2022, the U.S. Geological Survey (USGS) in cooperation with the New Hampshire Department of Transportation (NHDOT) made 107 horizontal-to-vertical spectral ratio (HVSR) passive seismic geophysical measurements at four transportation infrastructure sites in New Hampshire to determine the benefits of HVSR as an enhancement to traditional geotechnical site characterizations performed by NHDOT. Typ

Statewide survey of shallow soil concentrations of per- and polyfluoroalkyl substances (PFAS) and related chemical and physical data across New Hampshire, 2021

Per- and polyfluoroalkyl substances (PFAS) and related chemical and physical data are presented from 100 shallow soil sampling locations within the State of New Hampshire. Sites were randomly determined through an equal-area grid approach (Scott, 1990) targeting undisturbed areas, which included lands classified by the 2016 National Land Cover Database (Dewitz, 2019) as forested, shrubland, scrubl

Mercury, methylmercury, cations, dissolved organic carbon, and dissolved organic matter optical properties in small forest streams during five synoptic sampling campaigns at Sleepers River, Vermont, 2017-2018

The dataset describes mercury and dissolved organic matter concentration and quality over five synoptic sampling campaigns at 12 stream sites within the 41-hectare (ha) forested W-9 catchment at Sleepers River, Vermont, with an additional site at the downstream W-3 gage (837 ha). The five campaigns included a large (79 millimeter (mm)) fall storm, spring snowmelt, and spring, summer, and fall base

Aqueous chemistry database, Sleepers River Research Watershed, Danville, Vermont, 1991-2018

The Sleepers River Research Watershed, near Danville, Vermont, is a 111-square-kilometer watershed established in 1958 by the Agricultural Research Service.The research watershed has since been operated by three other federal agencies: National Weather Service, U.S. Army Cold Regions Research and Engineering Laboratory (CRREL), and U.S. Geological Survey (USGS). USGS started at the site in collabo

Storm Event Dissolved Organic Carbon and Total Dissolved Nitrogen Concentrations and Yields for Precipitation, Throughfall, Stemflow, and Stream Water and Hourly Streamflow and Precipitation Record for the W-9 Catchment, Sleepers River Research Watershed,

This dataset describes water yields for precipitation, throughfall, and stemflow for 22 rain events within the 40.5-hectare (ha) forested W-9 catchment at Sleepers River, Vermont. Sampling occurred during the summer and fall of 2018. Dissolved organic carbon (DOC) and total dissolved nitrogen (TDN) concentrations are reported for each sampled event. The dataset also includes 5-minute catchment nor

Digital Elevation Model and Derivative Datasets to Support the Integration of Stormwater Drainage into the StreamStats Application for the Mystic River Watershed, Massachusetts

The U.S. Geological Survey’s StreamStats program is a publicly-accessible web application (https://streamstats.usgs.gov) that can be used to delineate drainage areas, compute basin characteristics, and estimate flow statistics for user-selected locations on streams. StreamStats services are typically implemented at the statewide or watershed scale (referred to as state or basin applications), and

Basin Characteristics Data for the StreamStats Application in the Mystic River Basin, Massachusetts

The U.S. Geological Survey’s StreamStats program is a publicly-accessible web application (https://streamstats.usgs.gov) that can be used to delineate drainage areas, compute basin characteristics, and estimate flow statistics for user-selected locations on streams. StreamStats services are typically implemented at the statewide or watershed scale (referred to as state or basin applications), and

Computed Streamflow Using Satellite Data for Selected Rivers in Alaska

This dataset provides computed remotely-sensed streamflows (RSQ) at river reaches of selected rivers in Alaska. We used the relation between water-surface elevation data derived from satellite altimetry and dynamic surface water extent data derived from LANDSAT and Sentinel imagery data with the Modified Optimized Manning Method Algorithm (MOMMA) to compute remotely sensed streamflows. Data are or