Data

Montgomery County, Maryland Department of Environmental Protection has collected datasets to assess the health of streams since the early 1990s. Datasets include geomorphic stream cross-sectional surveys, fish and benthic macroinvertebrate counts and taxa abundance, and water chemistry data collected at the time of benthic and fish sampling (dissolved oxygen, pH, specific conductance...

Data are from water samples collected from tributaries of the Great Lakes at three different drainage basin scales, including 1). watershed scale: 8 tributaries of the Great Lakes, 2). subwatershed scale: 5 locations from the greater Milwaukee, Wisconsin area, and 3). small scale: 213 storm sewers and open channel locations in three subwatersheds within the Great Lakes Basin including...

This dataset is focused on alpine plant species presence/absence, species turnover, and trends in species abundance on four mountain summits in Glacier National Park, Montana, USA from 2003 through 2014. Two summit sites were established in 2003 on Dancing Lady and Bison Mountain, east of the continental divide. Two additional summit sites were established in 2004 on Pitamakin and Mt...

Relative-gravity surveys were carried out using a ZLS 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 stations. Absolute-gravity surveys were carried out using a Micro-g LaCoste, Inc. A-10 absolute-gravity meter. Vertical...

This data release includes a table of 87Sr/86Sr, 234U/238U, δ2H, and δ18O isotope data used to evaluate groundwater- and surface-water-sources contributing to water in perennial wetlands near the mouth of Potrero Creek within the Upper Santa Cruz Basin near Nogales, AZ. Interpretations of those data are discussed in the pamphlet accompanying the USGS Scientific Investigations Map SIM...

The computer program REGOLITH is a Fortran program designed for estimating soil thickness over a digital landscape. The program implements various published empirical and process-based models for soil thickness. This command-line program is used in conjunction with Python scripts to prepare input files and automate certain steps.