Data

This USGS Data Release represents tabular and geospatial data for the Gulf Sturgeon Bayesian Network Model. The Gulf Sturgeon is a federally listed, anadromous species, inhabiting Gulf Coast rivers, estuaries, and coastal waters from Louisiana to Florida. The data release was produced in compliance with the new 'open data' requirements as way to make the scientific products associated...

A three-dimensional extreme gradient boosting (XGB) machine learning model was developed to predict the distribution of nitrate in groundwater across the conterminous United States (CONUS). Nitrate was predicted at a 1-square-kilometer (km) resolution for two drinking water zones, each of variable depth, one for domestic supply and one for public supply. The model used measured nitrate

Trace-metal concentrations in sediment and in the clam Limecola petalum (World Register of Marine Species, 2020; formerly reported as Macoma balthica and M. petalum), clam reproductive activity, and benthic macroinvertebrate community structure were investigated in a mudflat located 1 kilometer south of the discharge of the Palo Alto Regional Water Quality Control Plant (PARWQCP) in...

Site-specific multiple linear regression models were developed for one beach in Ohio (three discrete sampling sites) and one beach in Pennsylvania to estimate concentrations of Escherichia coli (E. coli) or the probability of exceeding the bathing-water standard for E. coli in recreational waters used by the public. Traditional culture-based methods are commonly used to estimate...

The U.S. Geological Survey (USGS), in cooperation with the Houlton Band of Maliseet Indians (HBMI), has developed tools to assess the effects climate change on hydrology and water temperatures in the Meduxnekeag River Watershed in Maine. A USGS Scientific Investigations Report (SIR) report documents tools and datasets developed by the USGS to evaluate how climate change will affect the...

The U.S. Geological Survey, in collaboration with American Rivers and other partners, conducted a monitoring program beginning in 2010 to track river response to a series of dam removals on the Patapsco River intended to restore anadromous fish habitat in the watershed. Dam removals included the November 2010 removal of the Simkins dam, a 3.3 m tall and 66 m wide dam, with a reservoir...

The mission of the U.S. Geological Survey (USGS) involves providing reliable, impartial, and timely information that is needed to understand the Nation?s water resource. New techniques that aid in achieving this mission are important, especially those that allow USGS to do so more accurately or cost-effectively. To this end, a new method for selecting the optimum exposure time for...

Water-quality data for groundwater samples collected from 4,824 sites between 1991 through 2018, and ancillary data and information on sampled wells and principal aquifers, were used to assess the occurrence and distribution of strontium in U.S. groundwater from 32 principal aquifers. This data release includes one tab-delimited text file detailing these data. Table: Chemical data from...

These data support poscrptR (Wright et al. 2021). poscrptR is a shiny app that predicts the probability of post-fire conifer regeneration for fire data supplied by the user. The predictive model was fit using presence/absence data collected in 4.4m radius plots (60 square meters). Please refer to Stewart et al. (2020) for more details concerning field data collection, the model fitting...

Data included in this data set are for an experiment conducted in 2018. Data were collected on survival, growth, food consumption, and Ichthyobodo copy numbers of Lost River suckers exposed to five different temperature groups. There are five levels of data. Temperature data contains 1,178 records and the data file is 35 KB, survival data contains 150 records and the data file is 3 KB...

Evaluating technologies and approaches to identify the movement of fine sediment over coarser substrate has implications for monitoring the condition of habitat restoration sites. This goal motivated testing the efficacy of Fiber Optic Distributed Temperature Sensing (FO-DTS) as a technique for detecting the migration of sand bedforms over coarser bed material. Experiments were conducted...

Karst systems are useful for examining spatial and temporal variability in Critical Zone processes because they provide a window into the subsurface where waters have interacted with vegetation, soils, regolith, and bedrock across a range of length and time scales. The majority of Critical Zone research has emphasized silicate lithologies, which are typified by relatively slow rates of...