All Data

This study evaluated the use of dissolved carbon dioxide as a control method for invasive crayfish. Five concentrations of CO2 were administered to twenty-four test tanks at a water temperature of 5°C. Initially, Red Swamp Crayfish (RSC; Procambarus clarkii) were intended to be the test species used in the study. However, problems with obtaining a healthy population of RSC occurred, so...

This data release is a collection of quantitative and qualitative data for fluid inclusions in samples from the Bear Lodge alkaline complex, Wyoming. The dataset includes:microthermometry, Raman spectroscopy, noble gas spectroscopy, laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS), and energy dispersive X-ray analyses of fluid inclusions. For spatial context and...

Future sea-level rise poses a risk to mangrove forests. To better understand potential vulnerability, we developed a numerical model of soil elevation for mangrove forests. We used the model to generate projections of elevation and mangrove forest composition change under six sea-level rise scenarios from 2020 through 2150. We employed a data-driven modeling approach, utilizing new and...

These datasets contain the carbon and nitrogen stable isotope data from diamondback terrapin epidermis tissue and a variety of sampled prey items.

We established a network of 121 plots distributed within the 2020 SQF, 2020 Rattlesnake, and 2021 KNP complex fire footprints (extracted from Fire and Resource Assessment Program (FRAP), https://frap.fire.ca.gov), as well as outside the fire perimeters to provide an unburned comparison. These plots were combined from two projects: a fire and fuels study (F&F) and the USGS sequoia...

This geospatial dataset compiles, in digital form, geologic and geophysical data for the Portola 30’x 60’ quadrangle, located in the northern Sierra Nevada, California. This geologic map of the Portola 30’x 60’ quadrangle integrates decades of published and unpublished mapping in the northern Sierra Nevada. In conjunction with geophysical data, including more than 1000 new gravity...

The U.S. Geological Survey (USGS) Wetlands Aquatic Research Center worked alongside the U.S. Army Corps of Engineers (USACE) and Bureau of Ocean Energy Management (BOEM) to amalgamate over three decades of relocation trawling records. It is USACE's mission to provide safe, reliable, efficient , and environmentally sustainable waterborne transportation systems (channels, harbors, and...

The USGS developed methods and results to improve estimation of the aquifer system, location, and quantity of private-domestic well groundwater withdrawals and the self-supplied domestic population of the Virginia Coastal Plain. This USGS data release includes (1) tabular datasets with the estimated aquifer distribution of 8,264 private-domestic wells aggregated by locality/county, USGS...

We present a tabular data set representing values used to evaluate intrinsic factors of breeding dispersal and annual survival for northern Great Plains piping plovers (Charadrius melodus) from 2014 – 2019. Data was collected on wetlands and on the Missouri River in North Dakota, South Dakota, and Montana. Data includes breeding state specific observations of adults. The associated...

The land application of drill fluids is governed by rules established in the Oklahoma Administrative Rules (165:10-7) and permitted by the Oklahoma Corporation Commission (OCC). While data on the volume and location of land application is publicly accessible through the OCC's website, much of the information is in scanned form documents which limits the operability of these data. This...

This dataset includes measurements of physical and biological parameters of two restored tidal wetlands that utilized beneficial reuse material (Hamilton Restoration, Sonoma Baylands), and compares their attributes to two wetlands that have been restored through natural tidal sediment accretion (Tolay, Carl’s Marsh) and one wetland that had never been diked (Pinkston Slough). Throughout...

This dataset represents photointerpretation of live tree presence and raw pixel values from 500 randomly selected Sentinel-2 pixels across four fires in the state of California. This dataset was used to run random forest models to predict live tree presence in the Cabin Fire, Rough Fire, Pier Fire, and Schaeffer Fire at 1, 3, and 5 years post fire.