Data

This dataset describes the Survey Data collected for the Planning Assistance to the States (PAS) study along Little Sugar Creek and selected tributaries, near Bella Vista, Arkansas, and Pineville, Missouri, December 2019. Little Sugar Creek is a tributary to the Elk River in Missouri that commences in Benton County, Arkansas and terminates in McDonald County, Missouri. The stream...

The USGS developed the second in a series of informative spatial distribution datasets of submersed aquatic vegetation (SAV) in Lake Erie. The second dataset was developed by object-based image analysis of high-resolution imagery (US waters less than 6 meters deep) collected during peak biomass in 2018 to allow assessments of changes in SAV distribution. Assessing SAV abundance may...

This project contains five datasets which are reported in "Understanding metrics of stress in the context of invasion history: the case of the brown treesnake (Boiga irregularis)". Overall, this dataset describes metrics of individual and demographic stress (baseline and 1 hour post-capture corticosterone, body condition, and bacterial killing ability) in the invasive snake Boiga...

The Santa Clara River Lakes, located along the San Andreas fault 19 miles northwest of Palmdale, California, were placed on the state?s ?303(d) List? or ?Impaired Water List? in 1996 for eutrophic conditions, high pH, and low dissolved oxygen. In 2016, the state adopted a Total Maximum Daily Load (TMDL) for nutrients (nitrogen and phosphorus) in the Santa Clara River Lakes. This study...

This data release contains mean high water (MHW) shorelines along the coast of California for the years 1998/2002, 2015, and 2016, extracted from Light Detection and Ranging (LiDAR) digital elevation models using ArcGIS. The Digital Shoreline Analysis System (DSAS) was used to calculate net shoreline movement (NSM) between the pre-El Nino (2015) and post-El Nino (2016) shorelines, as a...

This data set contains a single table of descriptions of benthic samples collected in 1998 at Nelson and Izembek lagoons, Alaska. This includes: the weight of the sample, the species or species group of benthic animals (also vegetation) and their number, size and weight, and the amount of sand and gravel. These data provide a basis for additional studies that includes sampling of the...

In summer 2018, the U.S. Geological Survey partnered with the U.S Department of Energy and the Bureau of Ocean Energy Management to conduct the Mid-Atlantic Resources Imaging Experiment (MATRIX) as part of the U.S. Geological Survey Gas Hydrates Project. The field program objectives were to acquire high-resolution 2-dimensional multichannel seismic-reflection and split-beam echosounder...

Documented in this data release are data used to model and map the probability of arsenic being greater than 10 micrograms per liter in private domestic wells throughout the conterminous United States during drought conditions (Lombard and others, 2020). The model used to predict the probability of arsenic exceeding 10 micrograms per liter in private domestic wells was previously...

This dataset represents the network-adjusted results of relative- and absolute-gravity surveys. Relative-gravity surveys were carried out using a Zero Length Spring, Inc. Burris relative-gravity meter. The effect of solid Earth tides and ocean loading were removed from the data. Instrument drift was removed by evaluating gravity change during repeated measurements at one or more base...

GSadjust is the first comprehensive, publicly-available graphical interface for performing drift-correction and network adjustment for combined relative- and absolute-gravity surveys (Kennedy and others, 2021). The objective of network adjustment is to determine a single, best-fit gravity value at each station based on all available observations and their respective uncertainty...

The data are the results of mass spectrometer experiments to measure 40Ar/39Ar ages of groundmass and mineral separates from volcanic rocks in northern Harrat Rahat, Kingdom of Saudi Arabia. The data were collected using a MAP216 noble gas mass spectrometer at the USGS facility in Menlo Park, Calif. These data were collected as part of a collaborative study conducted by the U.S...

This U.S. Geological Survey (USGS) data release represents tabular and geospatial data for the Biological Objectives for the Gulf Coast Projects Beach Mice Bayesian network model. The data release was produced in compliance with 'open data' requirements as a way to make the scientific products associated with USGS research efforts and publications available to the public. The release...