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Data Releases

The data collected and the techniques used by USGS scientists should conform to or reference national and international standards and protocols if they exist and when they are relevant and appropriate. For datasets of a given type, and if national or international metadata standards exist, the data are indexed with metadata that facilitates access and integration.

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Soil sample data for four uranium mine sites, Mohave County, Arizona, April and November 2018 Soil sample data for four uranium mine sites, Mohave County, Arizona, April and November 2018

This U.S. Geological Survey data release is a spreadsheet containing soil-profile measurements of ambient spring and fall water-potential and water-content conditions, and physical and chemical properties for four mine sites, Mohave County, Arizona, April and November 2018. The four mines sampled in both April and November were Kanab North (native soil and reclaimed soil), EZ2 (native...

Historical and Stochastically Generated Climate and Streamflow Data for the Souris River Basin, United States and Canada Historical and Stochastically Generated Climate and Streamflow Data for the Souris River Basin, United States and Canada

The North Dakota State Water Commission and International Joint Commission partnered with USGS to characterize the climate and streamflow in the Souris River Basin and develop a set of daily streamflow traces from 10-day stochastic streamflow traces discussed in Kolars and others (2016).The Kolars and others (2016) dataset is provided and was used to determine the statistical...

Geospatial data sets and hydraulic models for selected streams near Rittman in Wayne and Medina Counties, Ohio. Geospatial data sets and hydraulic models for selected streams near Rittman in Wayne and Medina Counties, Ohio.

Digital flood-inundation maps were created by the U.S. Geological Survey (USGS) in cooperation with the Muskingum Watershed Conservancy District and the City of Rittman as part of a Federal Emergency Management Agency (FEMA) Flood Insurance Study (FIS). The flood-inundation maps show estimates of the areal extent corresponding to the 1% and 0.2% annual-exceedance probability floods...

In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Predicted Wind Take Allocated To Hibernacula Each Year Under Current and Future Scenarios In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Predicted Wind Take Allocated To Hibernacula Each Year Under Current and Future Scenarios

Through the North American Bat Monitoring Program (NABat), United States Geological Survey (USGS) provided technical and science support to assist in U.S. Fish and Wildlife Services' (USFWS) Species Status Assessment ('SSA") for the northern long-eared bat (Myotis septentrionalis), little brown bat (Myotis lucifugus), and tri-colored bat (Perimyotis subflavus). USGS facilitated the SSA...

Aerial Imagery collected during unoccupied aircraft systems (UAS) operations in Massachusetts and Maine between March 2018 - September 2018 Aerial Imagery collected during unoccupied aircraft systems (UAS) operations in Massachusetts and Maine between March 2018 - September 2018

Low-altitude (80 and 100 meters above ground level) digital images were collected at Sage Lot Pond in Waquoit, Massachusetts, two sites on the Mill River in Taunton, MA, Great Marsh in Barnstable, MA, the Wells National Estuarine Research Reserve in Wells, ME, and on the Woods Hole Oceanographic Institution Quissett Campus in Woods Hole, MA using 3DR Solo unoccupied aircraft systems (UAS...

Modeled extreme total water levels along the U.S. west coast Modeled extreme total water levels along the U.S. west coast

This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) for each 100-meter (m) section of the United States Pacific coast for return period storm scenarios. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast...
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