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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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Total monthly water withdrawal and consumption estimates by 12-digit hydrologic unit code for surface-water and groundwater sourced utility-scale thermoelectric plants in the conterminous United States for 2015. Total monthly water withdrawal and consumption estimates by 12-digit hydrologic unit code for surface-water and groundwater sourced utility-scale thermoelectric plants in the conterminous United States for 2015.

This dataset presents the total monthly water withdrawal and consumption estimates for surface-water and groundwater sourced utility-scale thermoelectric power plants by 12-digit hydrologic unit code (HUC12) in the United States for 2015. The water withdrawal and consumption estimate methods and data are published in USGS Scientific Investigations Report 2019-5103 "Withdrawal and...

fishStan fishStan

fishStan is an R package (R Core Team 2020) providing a collection of hierarchical Bayesian models written in the Stan language as called through RStan (Stan Development Team 2020). The package is a USGS software software release. The purpose of the package is to document these models for use in USGS projects and allow easy discrimination. The package assumes the user is familiar with R...

Best Management Practices Statistical Estimator (BMPSE) Version 1.2.0 Best Management Practices Statistical Estimator (BMPSE) Version 1.2.0

The Best Management Practices Statistical Estimator (BMPSE) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) Office of Project Delivery and Environmental Review to provide planning-level information about the performance of structural best management practices for decision makers, planners, and highway engineers to assess...

Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM) Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)

This data release documents statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)(Granato, 2013). The U.S. Geological Survey (USGS) developed SELDM and the statistics documented in this report in cooperation with the Federal Highway Administration (FHWA) to indicate the risk for stormwater...

Inorganic chemistry data for groundwater wells near selected oil fields in the southwestern San Joaquin Valley, central California Inorganic chemistry data for groundwater wells near selected oil fields in the southwestern San Joaquin Valley, central California

This digital dataset contains geochemical and other information for 1,209 samples of groundwater from 343 wells located within 3-miles of the Buena Vista, Elk Hills, Midway-Sunset, and North and South Coles Levee oil fields in the southwestern San Joaquin Valley of central California. Data were compiled by the U.S. Geological Survey (USGS) from preexisting datasets and transferred...

Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic (ver. 12.0, April 2025) Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic (ver. 12.0, April 2025)

The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the...

Nitrogen, phosphorus, and suspended-sediment loads and trends measured at the Chesapeake Bay River Input Monitoring stations: Water years 1985-2019 Nitrogen, phosphorus, and suspended-sediment loads and trends measured at the Chesapeake Bay River Input Monitoring stations: Water years 1985-2019

Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring (RIM) stations for the period 1985 through 2019. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called...

Dam impact/disturbance metrics for the conterminous United States, 1800 to 2018 Dam impact/disturbance metrics for the conterminous United States, 1800 to 2018

This metadata record describes two metrics that quantitatively measure the impact of reservoir storage on every flowline in the NHDPlus version 2 data suite (NHDPlusV2) for the conterminous United States. These metrics are computed for every 10 years from 1800 - 2015. The first metric (DamIndex_EROM.zip) estimates reservoir storage intensity in units of days based on reservoir storage in...

SUPERSEDED: Data Associated with Algal Toxin Testing of Seabirds from the Bering and Chukchi Seas, 2017 SUPERSEDED: Data Associated with Algal Toxin Testing of Seabirds from the Bering and Chukchi Seas, 2017

This data set is comprised of three tables with results of algal toxin screening for saxitoxin and domoic acid. We used enzyme-linked immunosorbent assay (ELISA) and high-performance liquid chromatography (HPLC) to screen seabirds in the Bering and Chukchi Seas, 2017.

Genetic Data from Barrow's Goldeneye and Common Goldeneye Genetic Data from Barrow's Goldeneye and Common Goldeneye

This data set describes nuclear microsatellite genotypes derived from eight autosomal loci (Aph02, Aph11, Aalµ1, Sfiµ4, Smo4, Smo7, Smo12, and Sfiµ8) and accession numbers for double digest restriction-site associated DNA (ddRAD) sequences.
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