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Maximum horizontal stress orientation and relative stress magnitude (faulting regime) data throughout North America Maximum horizontal stress orientation and relative stress magnitude (faulting regime) data throughout North America
This Data Release accompanies the publication "State of stress in areas of active unconventional oil and gas development in North America" by J.-E. Lund Snee (now J.-E. Lundstern) and M.D. Zoback (2022) in the AAPG Bulletin. This dataset provides maximum horizontal stress (SHmax) orientation and relative stress magnitude (faulting regime) information that comprise a new-generation...
Great Lakes Restoration Initiative's Terrestrial Habitats & Connectivity Work Group's Pilot Area's Post-Fiscal Year 2021 Open Habitat Connectivity Great Lakes Restoration Initiative's Terrestrial Habitats & Connectivity Work Group's Pilot Area's Post-Fiscal Year 2021 Open Habitat Connectivity
This dataset is the second installment of a yearly connectivity update for open habitat within the Great Lakes Restoration Initiative's (GLRI) Terrestrial Habitats & Connectivity (TH&C) work group's Pilot Area. The Pilot Area is a region of the northern Great Lakes Basin between Ashland, WI and the Keweenaw Peninsula and is bounded by Lake Superior in the north and the basin boundary in...
Input and results from boosted regression tree and artificial neural network models that predict daily maximum pH and daily minimum dissolved oxygen in Upper Klamath Lake, 2005-2019 Input and results from boosted regression tree and artificial neural network models that predict daily maximum pH and daily minimum dissolved oxygen in Upper Klamath Lake, 2005-2019
This data release contains the model inputs, outputs, and source code (written in R) for the boosted regression tree (BRT) and artificial neural network (ANN) models developed for four sites in Upper Klamath Lake which were used to simulate daily maximum pH and daily minimum dissolved oxygen (DO) from May 18th to October 4th in 2005-12 and 2015-19 at four sites, and to evaluate variable...
Digitized datasets used in channel stability study in the Colorado River headwater arroyo system of Muddy Creek, Wyoming Digitized datasets used in channel stability study in the Colorado River headwater arroyo system of Muddy Creek, Wyoming
A before-and-after study design was used to examine effects of changes in cattle grazing practices on channel stability in Muddy Creek, an arroyo in the Colorado River headwaters. The changes in grazing practices were abrupt and focused on keeping cattle out of the riparian zone and increasing herd movement. We digitized 620 meander loop cutoff geometries within the digitized alluvial...
Water Chemistry data for samples collected at groundwater sites in the Poso Creek Oil Field study area, February 2020-December 2021, Kern County, California Water Chemistry data for samples collected at groundwater sites in the Poso Creek Oil Field study area, February 2020-December 2021, Kern 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...
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