New England Water Science Center

Data and Tools

Much of our data is publicly available through the USGS NWIS, but additional datasets and analytical tools are also available.

Current Conditions:

Streamflow:   CT | ME | MA | NH | RI | VT

Water Quality:   CT | ME | MANH | RI | VT

Groundwater:    CT | ME | MANH | RI | VT

Precipitation:    CT | ME | MA | NH | RI | VT

Lakes and Reservoirs:    ME | MA | NH | VT

Tidal:     MA | ME

Estuary:    CT

USGS StreamStats

USGS StreamStats

Interactively identify a watershed boundary and obtain detailed streamflow statistics.

For an introduction to StreamStats click HERE

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USGS WaterAlert

USGS WaterAlert

Use the interactive map to browse the network of USGS sites by data type. 

WaterAlert Map
Filter Total Items: 131
Date published: April 1, 2021

Physical and Chemical Data to Characterize Water-Quality Conditions in the Sakonnet River, Rhode Island, 2018-2019

Physical and chemical data were collected to characterize water-quality conditions in the Sakonnet River, a tidal strait located on the east side of Narragansett Bay in Rhode Island, from April 28 to November 11, 2018 and from June 19 to November 26, 2019. 

Date published: March 19, 2021

Data used to model and map arsenic concentration exceedances in private wells throughout the conterminous United States for human health studies

This data release contains data used to develop models and maps that estimate the probabilities of exceeding various thresholds of arsenic concentrations in private domestic wells throughout the conterminous United States.

Date published: March 1, 2021

Survey of first-floor elevations of buildings in the Lake Champlain floodplain, Vermont, 2020

In August 2020, the U.S. Geologic Survey acquired high-precision survey data of first-floor doorway threshold elevations at buildings in the Lake Champlain floodplain in Vermont.

Date published: February 10, 2021

Streamflow input datasets and model results using the Weighted Regressions on Time, Discharge, and Season (WRTDS) Models to estimate total organic carbon and other constituent concentrations in eight rivers in Connecticut, water years 1973 to 2019

This data release provides data in support of an assessment of changes in slope of the concentration-discharge relation for total organic carbon in eight major rivers at gaging stations in Connecticut from October 1972 to September 2019 (U.S. Geological Survey water years 1973 to 2019).

Date published: January 18, 2021

Datasets for assessing the impact of drought on arsenic exposure from private domestic wells in the conterminous United States

Documented in this data release are data used to model and map the probability of arsenic being greater than 10 micrograms per liter in private domestic wells throughout the conterminous United States during drought conditions (Lombard and others, 2020).

Date published: January 6, 2021

Best Management Practices Statistical Estimator (BMPSE) Version 1.2.0

The Best Management Practices Statistical Estimator (BMPSE) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) Office of Project Delivery and Environmental Review to provide planning-level information about the performance of structural best management practices.

Date published: January 6, 2021

Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)

This data release documents statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)(Granato, 2013).

Date published: December 14, 2020

Model archive for analysis of long-term annual yields of highway and urban runoff in selected areas of California with the Stochastic Empirical Loading and Dilution Model (SELDM)

This model archive describes approaches used by the U.S. Geological Survey in cooperation with CalTrans for assessing long-term annual yields of highway and urban runoff in selected areas of California with version 1.1.0 of the Stochastic Empirical Loading and Dilution Model (SELDM). 

Date published: November 13, 2020

Survey of first-floor elevations of buildings in the Lake Champlain floodplain, Vermont, 2020

In August 2020, the U.S. Geologic Survey acquired high-precision survey data of first-floor doorway threshold elevations at buildings in the Lake Champlain floodplain in Vermont. For a representative sample of buildings within the 106 feet (National Geodetic Vertical Datum of 1929) stage boundary of the regional flood-inundation map (Flynn and Hayes, 2019), 153 buildings, or nearl

Date published: October 8, 2020

Results of peak-flow frequency analysis and regionalization for selected streamgages in or near Maine, based on data through water year 2019

The U.S. Geological Survey (USGS) recently completed a report documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines (https://doi.org/10.3133/tm4B5). The methods provide estimates of peak-flow quantiles for 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for...

Date published: October 2, 2020

Flood frequency and source data used in the regional regression analysis of annual peak flows in Connecticut (2020)

Current estimates of the magnitude and frequency of floods at gaged and ungaged stream sites are critical for assessing flood risk, delineating flood zones, designing hydraulic structures, and managing flood plains. The Connecticut Department of Transportation collaborated with U.S. Geological Survey (USGS) in a study to improve the flood-frequency estimates in Connecticut and develop r

Date published: October 2, 2020

Worksheet for computing annual exceedance probability flood discharges and prediction intervals at stream sites in Connecticut

The U.S. Geological Survey (USGS), in cooperation with Connecticut Department of Transportation, completed a study to improve flood-frequency estimates in Connecticut. This companion data release is a Microsoft Excel workbook for: (1) computing flood discharges for the 50- to 0.2-percent annual exceedance probabilities from peak-flow regression equations, and (2) computing add