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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Landscape position-based habitat modeling for the Alabama Barrier Island feasibility assessment at Dauphin Island Landscape position-based habitat modeling for the Alabama Barrier Island feasibility assessment at Dauphin Island
A barrier island habitat prediction model was used to forecast barrier island habitats (for example, beach, dune, intertidal marsh, and woody vegetation) for Dauphin Island, Alabama, based on potential island configurations associated with a variety of restoration measures and varying future conditions of storminess and sea-levels. In this study, we loosely coupled a habitat model...
Seagrass habitat suitability modeling for the Alabama Barrier Island restoration assessment at Dauphin Island Seagrass habitat suitability modeling for the Alabama Barrier Island restoration assessment at Dauphin Island
A barrier island seagrass habitat suitability index (HSI) model was developed for the Alabama barrier island restoration assessment at Dauphin Island. Shoal grass (Halodule wrightii) was selected as the representative species for seagrass community near Dauphin Island waters since H. wrightii is the dominant species (>62%) of seagrass communities in this area due to its rapid growth and...
Oyster habitat suitability modeling for the Alabama Barrier Island restoration assessment at Dauphin Island Oyster habitat suitability modeling for the Alabama Barrier Island restoration assessment at Dauphin Island
A spatially explicit oyster habitat suitability index (HSI) model was developed for the Alabama barrier island restoration assessment at Dauphin Island. Based on previous oyster habitat suitability studies, seven water quality variables were selected and their relationships with habitat suitability were developed and incorporated into the oyster HSI model for Dauphin Island restoration...
Pacific Walrus Blubber Lipid Content and Fatty Acid Composition, St. Lawrence Island, 2007-2010 Pacific Walrus Blubber Lipid Content and Fatty Acid Composition, St. Lawrence Island, 2007-2010
This dataset contains lab-measured percent lipid and fatty acid composition data from Pacific walruses harvested in waters near Saint Lawrence Island. Each row indicates data from a single layer from a blubber core sample collected from one body site (flank, rump, or sternum) from one walrus harvested by Native Alaskans during the spring walrus hunts of 2007 - 2010. Blubber cores were...
ModelMuse version 4.2 ModelMuse version 4.2
ModelMuse is a graphical user interface (GUI) for the U.S. Geological Survey (USGS) models MODFLOW 6, MODFLOW 2005, MODFLOW LGR, MODFLOW LGR2, MODFLOW NWT, MODFLOW CFP, MODFLOW OWHM, MODPATH, ZONEBUDGET, PHAST, SUTRA 2.2, SUTRA 3.0, MT3D USGS, and WellFootprint and the non USGS model MT3DMS. This software package provides a GUI for creating the flow and transport input file for PHAST and...
Compiled data for groundwater levels, groundwater withdrawals by wells and quarries, and point-source discharges to streams in the vicinity of Willow Grove and Warminster, Bucks and Montgomery Counties, Pennsylvania, for selected years during 1999-2017 Compiled data for groundwater levels, groundwater withdrawals by wells and quarries, and point-source discharges to streams in the vicinity of Willow Grove and Warminster, Bucks and Montgomery Counties, Pennsylvania, for selected years during 1999-2017
This USGS Data Release includes hydrologic data compiled for selected years during the period 1990-2017 to support the development and calibration of a numerical groundwater model used to simulate groundwater flow paths at and near former and currently active military bases in Montgomery and Bucks Counties in southeastern Pennsylvania (Goode and Senior, 2020). The hydrologic data...