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Explore all data by the topics and refine type to find the digital information in a format suitable for direct input to software that can analyze its meaning in the scientific, engineering, or business context for which the data were collected.

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Water chemistry data for samples collected at groundwater sites in the Santa Maria Valley Oil Field study area, July 2018–March 2019, Santa Barbara County, California Water chemistry data for samples collected at groundwater sites in the Santa Maria Valley Oil Field study area, July 2018–March 2019, Santa Barbara County, California

The California State Water Resources Control Board (State Water Board) initiated the Oil and Gas Regional Monitoring Program (RMP) to assess effects of oil and gas development on groundwater designated for any beneficial use. The U.S. Geological Survey (USGS) is the technical lead in conducting the RMP through the California Oil, Gas, and Groundwater (COGG) Program, working in...

Development of fluorescent staining method and effect of fluorescent staining on benthic invertebrate picking efficiency Development of fluorescent staining method and effect of fluorescent staining on benthic invertebrate picking efficiency

This is a tabular data set that includes intensity and saturation measurements of benthic invertebrates, sample residue, and preservative from samples stained with three fluorescent dyes for the development of a fluorescent staining method to enhance picking efficiency. This data set also contains data evaluating a selected fluorescent method's effects on picking efficiency and...

Sr/Ca and Linear Extension Data for a Modern Orbicella faveolata Colony From Marquesas Keys, Florida, USA Sr/Ca and Linear Extension Data for a Modern Orbicella faveolata Colony From Marquesas Keys, Florida, USA

The coral Strontium/Calcium (Sr/Ca) paleothermometer can provide a powerful proxy for centennial-scale sea-surface temperature (SST) variability in the Caribbean/Atlantic Ocean region. This data release presents a new, 150-year proxy reconstruction (1830-1980 C.E.) of monthly-resolved Sr/Ca-based SST estimates from the coral species Orbicella faveolata collected from the Marquesas Keys...

RESTORE/makESTUSAL, Source code for construction of various statistical models and prediction of daily salinity in coastal regions of the Gulf of Mexico, United States RESTORE/makESTUSAL, Source code for construction of various statistical models and prediction of daily salinity in coastal regions of the Gulf of Mexico, United States

The RESTORE/makESTUSAL software repository contains R language source code that can be used for the construction of various statistical models and output time series of predicted daily salinity coastal regions of the Gulf of Mexico, United States. The source code is expansive, and the repository is organizationally deep following logical organization units. One major subsystem of the...

Simulation and comparison of five estimators of variability in units of standard deviation for small samples drawn from normally distributed data Simulation and comparison of five estimators of variability in units of standard deviation for small samples drawn from normally distributed data

It is convenient to measure or estimate variation in samples or distributions in units of standard deviations. There are alternative methods of estimation of standard deviation aside from the conventional and well-known definition. Estimation of standard deviation for very small samples (as small as two), whereas not always ideal, might be useful in certain practical circumstances. A...

Study of L-kurtosis and several distribution families for prediction of uncertainty distributions, An applied software technical note concerning L-kurtosis use in daily salinity prediction from multiple machine learning methods Study of L-kurtosis and several distribution families for prediction of uncertainty distributions, An applied software technical note concerning L-kurtosis use in daily salinity prediction from multiple machine learning methods

Statistical predictions that are based on multiple machine learning (MML) methods (from including differing training regimes) produce differing predictions. When the predictions are combined to a final estimate, then there are residuals of the predictions spread around the final estimate. It is common to assume normality or near-normality of the residuals (errors), but the assumption of...

Estimate of Georgia water-use data by county for 2020 Estimate of Georgia water-use data by county for 2020

In cooperation with the Georgia Environmental Protection Division, the U.S. Geological Survey compiled four datasets summarizing 2020 water use for the state of Georgia by county. These datasets include: annual aquifer withdrawals; industrial water use by category; public supply water use; and total water use across multiple variables, including domestic, commercial, industrial, mining

Continuous Water Quality, Suspended Solids, and Enterococci Data from the Harlem River, Bronx, New York, Jan 2021- Sept 2021 Continuous Water Quality, Suspended Solids, and Enterococci Data from the Harlem River, Bronx, New York, Jan 2021- Sept 2021

This data set contains continuous water-surface elevation and water-quality (temperature, specific conductance, salinity, and turbidity) data recorded at 6- and 15-minute intervals, respectively, from two sites in the Bronx on the Harlem River -- Roberto Clemente State Park and Mill Pond Park. Water elevation was monitored every second to detect changes indicative of boat wakes expected...

Spatial data of oil and gas pads and access roads on the Colorado Plateau, Utah, Colorado, and New Mexico Spatial data of oil and gas pads and access roads on the Colorado Plateau, Utah, Colorado, and New Mexico

This data release contains spatial data on the location, number, size and extent of energy-related surface disturbances on the Colorado Plateau of Utah, Colorado, and New Mexico as of 2016. The database includes: 1) polygons of oil and gas pads generated from automated and manual classification of aerial imagery, and 2) polylines of roads derived from the U.S. Census Bureau TIGER/Line...

Metabolic Rate, Body Composition, Diet, Behavior, Blood Chemistry, Tri-axial Accelerometer, and GPS Locations of Polar Bears (Ursus maritimus) on Land, Western Hudson Bay, Canada, 2019-2022 Metabolic Rate, Body Composition, Diet, Behavior, Blood Chemistry, Tri-axial Accelerometer, and GPS Locations of Polar Bears (Ursus maritimus) on Land, Western Hudson Bay, Canada, 2019-2022

This data release includes 4 child items with data regarding metabolic rate, body composition, diet, behavior, blood chemistry, stable isotope, tri-axial accelerometer, and GPS locations of polar bears (Ursus maritimus) on land, Western Hudson Bay, Canada, 2019-2022. Child Item 1: "GPS Location Data from Polar Bears (Ursus maritimus) Instrumented on Land, Western Hudson Bay, Canada, 2019...

Reconnaissance of Per- and Polyfluoroalkyl Substances (PFAS) in Selected Groundwater and Surface Water Sites in McHenry County, Illinois, 2020 Reconnaissance of Per- and Polyfluoroalkyl Substances (PFAS) in Selected Groundwater and Surface Water Sites in McHenry County, Illinois, 2020

Data were collected at 19 groundwater monitoring wells and 3 surface water locations across McHenry County, Illinois, in 2020 by staff from the U.S. Geological Survey (USGS) Central Midwest Water Science Center. Quality control samples (2 blanks and 1 replicate) were also collected to assess data reliability and precision. Samples were submitted to the USGS National Water Quality...

Field, Geochemical, Geochronological, and Magnetic Data from a Pliocene basalt flow along the Deschutes River in north-central Oregon Field, Geochemical, Geochronological, and Magnetic Data from a Pliocene basalt flow along the Deschutes River in north-central Oregon

This dataset represents a variety of scientific measurements of basalt rock outcrops in central Oregon, United States. It consists of field observations, geochemical measurements, paleomagnetic directional measurements, magnetic susceptibility, and geochronology data (Ar-Ar methodology). This dataset was collected from 2014-2022 by the authors.
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