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Summary of Detection Data for Breeding Common Loons in North-central Minnesota (2023)

The Deepwater Horizon oil spill caused extensive injury to natural resources in the Gulf of Mexico, and Gavia immer (common loon) were negatively affected from the spill. The Open Ocean Trustee Implementation Group funded the project Restoration of Common Loons in Minnesota to restore common loons lost to the spill. In 2020–21, study lakes in an eight-county region in north-central Minnesota were

MODFLOW-NWT model used to evaluate groundwater withdrawal scenarios for the Rush Springs aquifer upgradient from the Fort Cobb Reservoir, western Oklahoma, 1979-2015, including streamflow, base flow, and precipitation statistics

A previously published MODFLOW-NWT groundwater-flow model for the Rush Springs aquifer in western Oklahoma (using 1 steady state stress period followed by 444 monthly stress periods representing 1979-2015; Ellis, 2018a) was used as the basis of several groundwater-use scenarios. The model is a 3-layer model including the Cloud Chief formation (confining unit of the Rush Springs aquifer), alluvial

Database of post-wildfire floods and debris flows

This database contains information on peak flows (floods, hyperconcentrated flows, and debris flows) after wildfire. Data were collected from the scientific literature and the U.S. Geological Survey National Water Information System. These data provide a foundation to assess the upper limits of post-wildfire floods that imperil human lives, infrastructure, and water supplies. Literature citations

Individual specific hybridization data from the upper Snake River, Wyoming from 2014

Dataset includes individual-specific genetic data describing the extent of hybridization between Yellowstone cutthroat trout (Oncorhynchus clarkii bouvieri) and rainbow trout (O. mykiss) in Wyoming.

MODFLOW-2000 data sets used in two predictive scenarios of groundwater flow and pumping (1900-2050) near Mount Pleasant, South Carolina

An existing three-dimensional model (MODFLOW-2000) by Fine, Petkewich, and Campbell (2017) (https://doi.org/10.3133/sir20175128) was slightly updated to evaluate two water-management scenarios and predict the effects of increased pumpage on the groundwater flow and groundwater-level conditions in the Mount Pleasant, South Carolina area. This model was originally developed in 2007, by Petkewich and

Attribution of fish sampling data to NHDPlus HR catchments within the Chesapeake Bay Watershed

This data release links fish survey data from a suite of programs in the Chesapeake Bay watershed to the NHDPlus High Resolution Region 02 networks, hereafter referred to as NHDPlusHR. The data set contains site name, survey program, coordinates of sample, ancillary information such as sample date and site location information where available, and HR Permanent Identifier. It also includes a confid

Russian River Integrated Hydrologic Model (RRIHM): Model Grid Properties

The Russian River Watershed (RRW) covers about 1300 square miles (without Santa Rosa Plain) of urban, agricultural, and forested lands in northern Sonoma County and southern Mendocino County, California. Communities in the RRW depend on a combination of Russian River water and groundwater to meet their water-supply demands. Water is used primarily for agricultural irrigation, municipal and private

Russian River Integrated Hydrologic Model (RRIHM): Wells

The Russian River Watershed (RRW) covers about 1300 square miles (without Santa Rosa Plain) of urban, agricultural, and forested lands in northern Sonoma County and southern Mendocino County, California. Communities in the RRW depend on a combination of Russian River water and groundwater to meet their water-supply demands. Water is used primarily for agricultural irrigation, municipal and private

Elevation-Derived Hydrography in the Upper Shawsheen River Basin, Massachusetts

The U.S. Geological Survey (USGS), in cooperation with the Air Force Civil Engineer Center (AFCEC), has compiled Geographic Information Systems (GIS) datasets. The spatial data layers provided in this data release are hydrography data derived from high-resolution lidar digital elevation models (DEM). They include a hydroline polyline shapefile used to hydro-enforce the high-resolution lidar DEM; a

MODFLOW 6 models for simulating groundwater flow and a proposed remediation system in the sole-source aquifer system in southeastern Nassau County, New York

This model archive contains files for a set of groundwater flow, particle tracking, and management optimization models that simulate the area around the Navy-Northrop-Grumman contamination plume on Long Island, New York. These models were developed as in insets from the Long Island Regional “parent” Model, from which perimeter boundary conditions were inherited. In addition to input and output fil

Code and data for 'Confirmation of a decline in the summer population of the monarch butterfly due to habitat loss'

This code describes graphical and analytical comparisons between monarch butterfly survey data collected during summer breeding, fall migration, and winter.

Plankton taxonomy and water quality in the Tualatin River Basin to the west of Portland, Oregon, during the summers of 2019-21

Water-quality data and plankton samples were collected at multiple locations within the Fernhill Natural Treatment wetland and along the Tualatin River, located to the west of Portland, Oregon, during the summers of 2018, 2019 and 2020. Water quality parameters collected include water temperature, specific conductance, dissolved oxygen, pH, turbidity, chlorophyll, and blue green algae. Data were c