Data Releases

Data from 10-day sediment toxicity tests of bed sediments from the Niagara River and tributaries, Niagara and Erie County, New York. Specifically, the data was used to compare the survival and growth of two macroinvertebrate species in sediments from study sites and laboratory controls. Results are from 10-day sediment exposures of two test species, Chironomus dilutus and Hyalella azteca. Bed-sedi

Relative-gravity data and absolute-gravity data were collected in the Sierra Vista Subwatershed, Upper San Pedro Basin, Arizona, in May-June 2014 and 2015. Data from 2014 and a description of the survey network were published in USGS Open File Report 2015-1086. Data presented in the shapefile here are: 1) Network-adjusted values from 2015, 2) Gravity change from 2014 to 2015, and 3) Survey-g

This USGS Data Release represents the data used to develop multiple linear regression models for estimating the loads of total nitrogen in small streams. Recursive partitioning and random forest regression were used to assess 85 geospatial, environmental, and watershed variables across 636 small (less than 585 square kilometers) watersheds to determine which variables are fundamentally important t

This data set includes capture information and ethoxyresorufin-O-deethylase (EROD) activity results for harlequin ducks sampled during March 2011, 2013, and 2014 in western Prince William Sound, Alaska.

The purpose of these data sets was to define which samples contained antibiotic resistance genes (screened antibiotic resistance gene targets) and Vibrio species, the number of detectable targets per sample and the quantity of those respective gene targets per gram of soil. These data were determined from samples collected in the NE US in support of the Sediment-bound Contaminant Resiliency and Re

Lidar-derived bare-earth topography Digital Elevation Model (DEM) mosaic and classified point-cloud datasets for Fire Island, New York, were produced from remotely sensed, geographically referenced elevation measurements collected on May 7, 2012.

This USGS data release consists of two geospatial datasets. One dataset contains contours representing water levels based on depth-to-groundwater measurements made at 98 wells in July of 2012 in the Lahontan Valley near Fallon, NV. The second dataset contains contours representing water level change in the shallow aquifer in Lahontan Valley from 1992 - 2012 based on depth-to-groundwater measureme

Climate change is expected to alter the distributions and community composition of stream fishes in the Great Lakes region in the 21st century, in part as a result of altered hydrological systems (stream temperature, streamflow, and habitat). Resource managers need information and tools to understand where fish species and stream habitats are expected to change under future conditions. Fish sample

The point and polygon layers within this geodatabase represent locations of mineral occurrences, mines, mining and mineral districts and sites of active mineral exploration within or near the Department of the Interior (DOI) Sagebrush Focal Areas in Montana, Wyoming and Utah, central Idaho, and the Oregon-Nevada-Idaho border area. The data were compiled by the U.S. Geological Survey (USGS) Mineral

These datasets contain information used to compile the report (USGS OFR 2016-1137). It contains water-quality data, analytical results of field blanks, and analytical results for environmental and replicate sample sets for surface-water samples collected during water years 2012 and 2013 for the Triangle Area Water Supply Monitoring Program (TAWSMP). The water-quality data contained in appendix 1 a

To better understand the hydrodynamics and water-quality distributions of the lower portion of Hoover Reservoir near Westerville, Ohio, in response to selective withdrawal operations at the dam, the U.S. Geological Survey (USGS) conducted two sets of synoptic surveys of water-quality and velocity in August 2015. On August 25, 2015, the middle intake gates were operational at the dam, while on Augu

These datasets, prepared by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in collaboration with the National Park Service, provide lidar-derived first-surface and bare-earth topography for Assateague Island National Seashore, Maryland and Virginia. Elevation measurements were acquired by the Experimental Advanced Airborne Research Lidar (EAARL) during September 2002.