Data Releases
The data collected and the techniques used by USGS scientists should conform to or reference national and international standards and protocols if they exist and when they are relevant and appropriate. For datasets of a given type, and if national or international metadata standards exist, the data are indexed with metadata that facilitates access and integration.
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Modeled extreme total water levels along the U.S. west coast Modeled extreme total water levels along the U.S. west coast
This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) for each 100-meter (m) section of the United States Pacific coast for return period storm scenarios. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast...
MODFLOW-NWT model used in simulations of selected climate scenarios of groundwater availability in the North Fork Red River aquifer, southwestern Oklahoma MODFLOW-NWT model used in simulations of selected climate scenarios of groundwater availability in the North Fork Red River aquifer, southwestern Oklahoma
A previously developed model (https://doi.org/10.3133/sir20175098) was coupled with downscaled climate model data to determine the impact of climate variability on base flow and groundwater storage in the North Fork Red River aquifer, Oklahoma. The North Fork Red River aquifer is an alluvial aquifer that discharges groundwater to the North Fork Red River, which provides inflow to Lake...
Water levels (November 11 2016 through November 11 2017) for four wells and Light intensity data (October 1 2015 through September 2019): from marsh to upland forest, for Moneystump Marsh, Blackwater National Wildlife Refuge, Maryland Water levels (November 11 2016 through November 11 2017) for four wells and Light intensity data (October 1 2015 through September 2019): from marsh to upland forest, for Moneystump Marsh, Blackwater National Wildlife Refuge, Maryland
Water levels in meters from four wells in Moneystump marsh at Blackwater National Wildlife Refuge, MD. Two wells are located in the upland forest; one well is located in the marsh-forest transition zone (ecotone); and one well is located in the marsh. Water depth of the adjacent creek is reported in meters. Data covers the time span from November 11 2016 - November 11 2017. Pressure...
Presence and prevalence of pathogens among amphibians of Catoctin Mountain Park, 2014 Presence and prevalence of pathogens among amphibians of Catoctin Mountain Park, 2014
Data described herein was collected by USGS personnel and the project funded by USGS and the National Park Service (Catoctin Mountain Park) through a FY14 NRPP project involving both agencies and developed to detect the presence and prevalence of ranavirus and chytrid pathogens among amphibians of Catoctin Mountain Park (CATO). Supplemental molecular analyses were performed on behalf of...
In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Summer Mobile Acoustic Transect Analysis In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Summer Mobile Acoustic Transect Analysis
Through the North American Bat Monitoring Program, Bat Conservation International and U.S. Geological Survey (USGS) collaborated with the U.S. Fish and Wildlife Service to provided technical and science support to assistance in U.S. Fish and Wildlife Services' Species Status Assessment ("SSA") for the northern long-eared bat (Myotis septentrionalis), little brown bat (Myotis lucifugus)...
Integrated modeling of climate and land change impacts on future dynamic wetland habitat – a case study from California’s Central Valley Integrated modeling of climate and land change impacts on future dynamic wetland habitat – a case study from California’s Central Valley
This dataset consists of raster geotiff and tabular outputs of annual map projections of land use and land cover for the California Central Valley for the period 2011-2101 across 5 future scenarios. Four of the scenarios were developed as part of the Central Valley Landscape Conservation Project. The 4 original scenarios include a Bad-Business-As-Usual (BBAU; high water, poor management)