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Data Visualizations

Explore our scientific and data-driven stories with maps, multimedia, and visualizations. 

Filter Total Items: 180

The 2019 Ridgecrest, California, Earthquake Sequence

This USGS geonarrative (Esri Story Map) summarizes the USGS response and findings after the M6.4 on July 4 and M7.1 on July 6, 2019 in Searles Valley, Southern California, and includes links to USGS research publications and data releases.

Water science and management in the Delaware River Basin (data visualization story)

The Delaware River supports thriving ecosystems and drinking water for 16 million people. How water is shared, and the quality of that water, has been the focus of decades of inter-state discussion, negotiation, and research. This data visualization story uses streamflow, salinity, and temperature to show how new USGS science and monitoring can inform water management in this age of cooperation.

Mississippi Alluvial Plain: Shellmound, MS Geophysical Survey

A high-resolution airborne and ground-based geophysical survey was conducted near Shellmound, Mississippi as part of the Mississippi Alluvial Plain (MAP) Regional Water Availability Study. This geonarrative showcases the geophysical data used in support of this effort, compiles complementary datasets, and provides additional resources to the user.

How Wildfires Threaten U.S. Water Supplies

The 2020 fire season provided stark evidence that wildfires are changing the landscape of America. But when a forest burns, the impacts on water supply and quality last long after the flames go out. Learn more about how wildfires threaten U.S. water supplies – and what we can do to adapt to the complex impacts of hotter and bigger fires.

New England Water Use in 2015

The New England Water Science Center has collected, reviewed, and aggregated water-withdrawal data in each of the six States every 5 years since 1950. The summary of the water-use compilation completed in 2015 is presented in this geonarrative.

LCMAP Assessment: Florida Phosphate Mining

Florida's Bone Valley is the source for about 60 percent of the phosphate mined in the U.S. for the production of chemical fertilizer. LCMAP data offers insight on the frequent land cover changes that accompany the mining process.

Freeport McMoRan-Safford Mine Groundwater Monitoring

In December of 2007, Freeport-McMoRan Safford Inc. (FMSI) (formerly Phelps Dodge Safford, Inc.) began production at the Safford Mine in southeastern Arizona, about 8 miles north of the town of Safford in Graham County. The long-term role of the USGS at the Safford Mine is to help ensure that the effects of mine-related pumpage on the regional aquifer are known and quantified.

Changes in Gravity used to Quantify Groundwater-Storage Change in the Tucson AMA

The Tucson Active Management Area (AMA) is a semi-arid region in southern Arizona. Historically, groundwater pumping in the Tucson AMA exceeded recharge for many decades. Gravity-based methods developed by the USGS can be used to directly measure groundwater-storage changes, providing an estimate of total storage change that does not rely on uncertain estimates of inflows and outflows.

Gages Through the Ages (data visualization story)

The USGS has been measuring streamflow since 1889. Explore how USGS streamgages have been supporting our Nation's changing water-resource needs and priorities for 130 years in an interactive data visualization story.

Bay- Delta Water Quality, Nutrient and Phytoplankton Mapping | US Geological Survey

Data visualization tool created for California's Bay-Delta Regional Monitoring Program.  This web applicaton visualizes nutrients and phytoplankton spatially and temporally.

The Dragonfly Mercury Project—Story Map

The Dragonfly Mercury Project is a citizen science framework for monitoring mercury pollution in U.S. national parks using dragonfly larvae as biosentinels. This Story Map provides an overview of the Project and includes an interactive map displaying results from across the country. Dragonflies were sampled from 100 U.S. national parks, including very remote areas.

Global Coastline Explorer

The Global Coastline Explorer has a high-resolution dataset of Earth's coastlines and the ecological settings in which coastlines occur. This geospatial data represents 4 million 1 km or shorter coastal segments, each attributed with values from ten ecological settings variables representing the adjacent ocean, the adjacent land, and the coastline itself.