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Data to support Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies
This data release contains one dataset and one model archive in support of the journal article, "Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies," by Jennifer C. Murphy and Jeffrey G. Chanat. The model archive contains scripts (run in R) to reproduce the four machine learning models (logistic regression, linear and quadratic dis
Projections of Rangeland Fractional Component Cover Across Western US Rangelands for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods
Climate change over the past century has altered vegetation community composition and species distributions across rangelands in the western United States. The scale and magnitude of climatic influences are largely unknown. While a number of studies have projected the impacts of climate change using several modeling approaches, none has evaluated impacts to fractional component cover at a 30-m res
Assateague Island Seabeach Amaranth Survey Data — 2001 to 2018
Seabeach amaranth (Amaranthus pumilus) is a plant species that was once prevalent on beaches of the U.S. mid-Atlantic coast but is now listed as threatened by the U.S. Fish and Wildlife Service. For much of the 20th century, seabeach amaranth was absent from the mid-Atlantic coast and thought to be extinct, presumably as a result of increased development and recreational pressure. One region wher
Argon geochronology results for Reconnaissance basement geology and tectonics of North Zealandia
The data are the results of mass spectrometer experiments to measure 40Ar/39Ar ages of groundmass and mineral separates from volcanic rocks in offshore New Zealand. The data were collected using a MAP216 noble gas mass spectrometer at the USGS facility in Menlo Park, California
Rainfed and Irrigated Cropland Areas for Africa
Agriculture consumes the largest share of freshwater globally, therefore, distinguishing between rainfed and irrigated croplands is essential for agricultural water management and food security. Yet in Africa, disaggregating croplands is challenging due to the continent's vast size, diverse climates, and varied agricultural practices. In this study, a framework using the Budyko model was applied t
Data Release: Germination and growth of Montezuma cypress (Taxodium mucronatum) from the Nazas River to experimental salinity treatments
During March and April of 2018, viable seeds were collected from Cañón de Fernández State Park in Lerdo, Durango and sent to Lafayette, LA for germination. This study tested the seedling growth and germination of Taxodium mucronatum from the Nazas River watershed at different salinity concentrations representing freshwater, moderate salinity, and high salinity.
Radiocarbon age dating of biological material from cores collected off central California in 1999, 2006, and 2019
Results of radiocarbon age dating of planktic and benthic foraminifera collected from cores obtained in 1999, 2006, and 2019 offshore central California in the vicinity of Morro Bay.
Active Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) projects vector data
Shapefile contains project boundaries for active Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) projects as of December 2022.
CE–QUAL–W2 water-quality models for Klamath Straits Drain recirculation scenarios, Klamath River, Oregon, 2006–15
A hydrodynamic, water-temperature, and water-quality model (CE-QUAL-W2; Wells, 2020) of the Link-Keno reach of the Klamath River (Oregon) was used for calendar years 2006–15 to run a series of base and recirculation scenarios. These model runs were implemented to test alternative scenarios for routing some of the Klamath Straits Drain discharge into Ady Canal. The model scenarios were configured f
Area of habitat still above water per decade of projected sea level rise for islands in two study areas off Florida's Gulf coast
Sand beaches are dynamic, making it difficult to accurately predict habitat loss from sea level rise (SLR). We mapped sand beach habitat based on two datasets - a remotely sensed land cover and hand-digitized aerial imagery collected concurrently with digital elevation data. Data include the predicted area of beach habitat still above water (units = number of pixels) from SLR per decade, for 3 SLR
Digital elevation model and derivative datasets to support the integration of stormwater drainage into the Washington, D.C. Stormwater StreamStats application
This dataset was created to support the Washington D.C. StreamStats project funded by the Washington D.C. Department of Energy and Environment (DOEE). The dataset contains digital elevation model (DEM), flow direction and catchment layers that were conditioned using Washingtons D.C.’s stormwater network layer. The data are hosted online as a component of the USGS StreamStats web application (https
Analysis of mitochondrial DNA sequence data from Myotis lucifugus and Myotis occultus
The validity of Myotis occultus as a species unique from M. lucifugus has been a source of debate. Most recently, many authorities treat M. occultus as a distinct species, at least in part because a previous study showed that M. occultus and M. l. carissima (the subspecies that occurs in closest proximity to M. occultus) form separate monophyletic clades based on sequences of two mitochondrial gen