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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.

Filter Total Items: 12924

Groundwater-withdrawal data from the Coastal Lowlands Aquifer System in parts of Texas, Louisiana, Mississippi, Alabama, and Florida, 1925-2018

This data release contains compiled historical groundwater-withdrawal data for the Coastal Lowlands Aquifer System in Texas, Louisiana, Mississippi, Alabama, and Florida from 1925 to 2018. Most groundwater-withdrawals were distributed to groundwater wells and separated into water-use categories of industrial, production wells, power generation, mining, domestic, irrigation, livestock or commercial

Soil physical, chemical, and biological data from edge-of-field agricultural water quality monitoring sites in Great Lakes States

Soil data were collected from catchments of USGS edge-of-field (EOF) monitoring sites in Great Lakes Restoration Initiative (GLRI) priority watersheds. As part of this release, soil data from 2016 through 2019 are provided from 14 sites spanning 5 Great Lake States (Wisconsin, Michigan, Ohio, Indiana, and New York). The data collected are from private farms representing a variety of agronomic syst

Fracture and Bedding Plane Analysis of Bedrock Beneath Bull Shoals Dam Using Acoustic and Optical Televiewer Geophysical Logs, Baxter County, Arkansas, 2021

In May 2021, the U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, logged 9 previously drilled boreholes in the bedrock beneath Bull Shoals Dam with acoustic and optical televiewer geophysical methods. The acoustic and optical televiewer logging results were used to identify fractures and small bedding planes in the bedrock beneath the dam using the image and structure

Time to removal of fetal materials by scavengers in SW Montana 2017 - 2018

We investigated the time to removal of bovine fetal materials, meant to simulate elk abortion materials, by scavengers in southwest Montana at 233 sites in February – June 2017 and 2018. Scavengers are likely to reduce the transmission risk of brucellosis, a bacterial disease that can lead to reproductive failure in infected elk, by consuming and removing infectious fetal materials from the landsc

Preliminary estimates of forecasted shoreline positions and associated uncertainties for Florida and Georgia

During Hurricane Irma, Florida and Georgia experienced substantial impacts to beaches, dunes, barrier islands, and coral reefs. Extensive erosion and coral losses from hurricanes result in increased vulnerability of coastal regions, including densely populated areas. Erosion may put critical infrastructure at risk of future flooding and may cause economic loss. The U.S. Geological Survey (USGS) Co

Pre-computed mean maximum 30-minute 2-year precipitation rasters from the 43 available conterminous states, for use in the StreamStats Fire-Hydrology application 2021

The U.S. Geological Survey (USGS) computed rasters of pre-solved values for the watersheds draining to the pixel delineation point representing the watershed's mean maximum 30-minute precipitation occurring on average once in 2 years from NOAA Atlas 14. These values will be served in the National StreamStats Fire-Hydrology application to describe delineated watersheds ( https://streamstats.usgs.go

Data from the Chemical Analysis of Archived Stream-Sediment Samples, Alaska

This data release contains the elemental concentration data for more than 1700 archived stream-sediment samples collected in Alaska. Samples were retrieved from the USGS Mineral Program's sample archive in Denver, CO, and the Alaska Division of Geological and Geophysical Surveys Geologic Materials Center in Anchorage, AK. All samples were analyzed using a multi-element analytical method involving

Phytoplankton data for samples collected at eleven large river sites throughout the United States, June through October 2018

This U.S. Geological Survey (USGS) Data Release provides phytoplankton data for samples collected from eleven large river sites throughout the United States, from June through October 2018. All data are reported as raw calculated values and are not rounded to USGS significant figures. The dataset includes all routine and quality assurance/quality control samples collected as part of a National Wat

Cyanotoxin, chlorophyll-a, and cyanobacterial toxin genetic data for samples collected at eleven large river sites throughout the United States, June through October 2018

This U.S. Geological Survey (USGS) data release provides discretely measured cyanotoxin, chlorophyll-a, and cyanobacterial toxin genetic data for samples collected from eleven large river sites throughout the United States, from June through October 2018. Discrete water-quality samples were analyzed for cyanotoxins (anatoxin, cylindrospermopsin, microcystin, and saxitoxin), chlorophyll-a, and cyan

Zooplankton Data for Cheney Reservoir near Cheney, Kansas, October 2008 through July 2021

This U.S. Geological Survey (USGS) data release provides zooplankton data collected from Cheney Reservoir, Kansas, during October 2008 through July 2021. All data are reported as raw calculated values and are not rounded to USGS significant figures. This data release was produced in compliance with the open data requirements as a way to make scientific products associated with USGS research effort

Sea Otter Aerial Survey Data from Northern and Eastern Prince William Sound, Alaska, 2014

This dataset consists of three tables related to abundance and distribution of northern sea otters (Enhydra lutris kenyoni) in northern and eastern Prince William Sound, Alaska, based on data collected during a series of population-wide aerial surveys in June 2014. The dataset consists of: (1) sea otter counts along strip transects, (2) sea otter counts in Intensive Search Unit (ISU) within the tr

Polar Bear Continuous Time-Correlated Random Walk (CTCRW) Location Data Derived from Satellite Location Data, Southern Beaufort Sea, 1986-2016

This dataset consists of one table with predicted locations of adult female polar bears. Locations were derived by a Continuous Time-Correlated Random Walk (CTCRW) model using satellite tracking radio-collared adult female polar bears captured and instrumented in the southern Beaufort Sea, 1986–2016.