Data

Reliable scientific data

We collect, analyze, and distribute data to the public and stakeholders that describe various water-related issues and resources and that support interpretive studies and decision-making.

Our mission is to collect and disseminate reliable scientific information on issues affecting rivers, lakes, estuaries, groundwater, and water resources. Find data resulting from our work here.

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March 31, 2017

Terms, Statistics, and Performance Measures for Maximum Likelihood Logistic Regression Models Estimating Hydrological Drought Probabilities in the United States

A table is presented listing: (1) USGS Gage Station Numbers, (2) Model Identification Tags, (3) Model Term Estimates, (4) Model Term Fit Statistics, and (5) Model Performance Indices for Maximum Likelihood Logistic Regression (MLLR) Models estimating hydrological drought probabilities in the United States. Models were developed using streamflow daily values (DV) readily available from the U.S. Geo

Virginia and West Virginia Water Science Center, Drought

Streamflow Data

Realtime Streamflow Data

Virginia and West Virginia Water Science Center

Groundwater Data

Realtime Groundwater Data

Virginia and West Virginia Water Science Center

Water Quality Data

Realtime Water Quality Data

Virginia and West Virginia Water Science Center

Water Use Data

Realtime Water Use Data

Virginia and West Virginia Water Science Center

Flooding Data

Realtime Flood Data

Virginia and West Virginia Water Science Center

Drought Data: Vegetation

Realtime Vegetation Index Drought Data

Virginia and West Virginia Water Science Center, Drought

July 7, 2016

Nitrogen, Phosphorus, and Suspended-Sediment Loads and Trends measured in Nine Chesapeake Bay Tributaries: Water Years 1985-2015

Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the nine Chesapeake Bay River Input Monitoring (RIM) stations for the period 1985 through 2015. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weig

Chesapeake Bay Activities, Virginia and West Virginia Water Science Center

Data

Reliable scientific data

We collect, analyze, and distribute data to the public and stakeholders that describe various water-related issues and resources and that support interpretive studies and decision-making.

Terms, Statistics, and Performance Measures for Maximum Likelihood Logistic Regression Models Estimating Hydrological Drought Probabilities in the United States

Streamflow Data

Groundwater Data

Water Quality Data

Water Use Data

Flooding Data

Drought Data: Vegetation

Nitrogen, Phosphorus, and Suspended-Sediment Loads and Trends measured in Nine Chesapeake Bay Tributaries: Water Years 1985-2015

Precipitation Data

Weather Data

Earthquake Real-Time Data

Earthquake Daily Data

U.S. Geological Survey

U.S. Department of the Interior