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Model Inputs: Midwest Climate Change Vulnerability Assessment for the U.S. Fish and Wildlife Service
This data release contains the climate change model inputs and Soil and Water Assessment Tool (SWAT) model outputs from 360 HUC-8 watersheds in the Midwest United States (Illinois, Indiana, Iowa, Michigan, Minnesota, Ohio, and Wisconsin), that were generated using the HAWQS (Hydrologic and Water Quality System) platform (https://hawqs.tamu.edu). The summarized data for a watershed-based climate change vulnerability assessment for U.S. Fish and Wildlife Service is also provided, along with the R code used to summarize the raw outputs. Watershed-based Midwest Climate Change Vulnerability Assessment Tool: https://rconnect.usgs.gov/CC_Vulnerabi
The data herein are geochemical (from X-Ray fluorescence spectrometry), grain size (percent clay, silt, sand), lithological (loss on ignition data), bathymetric, reconstructed IVT, and radioactive isotopes (14-C, 210-Pb, 226-Ra, and 137-Cs). These data were collected from sediments from Leonard Lake, Mendocino County, California, USA starting in 2014. Together, these data provide evidence for a record of extreme precipitation going back three millennia, showing regional pluvial and drought cycles.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: California,
Climatology,
Geography,
Hydrology,
Limnology,
This data release contains phytoplankton data and vertical profile measurements of water quality and light in oligotrophic (low nutrient) lakes within the Adirondack Park, New York State. Data were collected between June and October 2021 at five lakes. Four lake locations (Nearshore, Open Water, Layer, Bloom) were sampled representing one of four sample types (Bottom Sediment, Surface Water, Bloom Material, Layer). Water-quality field parameters (water temperature, dissolved-oxygen concentration and percent saturation, pH, specific conductance, turbidity, chlorophyll fluorescence, phycocyanin fluorescence, and fluorescent dissolved organic material) were measured at each sampling location from the surface to the...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Adirondack Park,
Algal concentration,
Blue Mountain Lake,
Blue-green algae,
Brant Lake,
This project contains field data and supporting files for a Lagrangian particle tracking (LPT) model at a representative reach on the Osage River, Missouri. Field datasets include a topobathymetric digital elevation model (DEM) for a 5-km reach of the Osage River, water surface elevation profiles, and velocity data collected with acoustic Doppler current profiler (ADCP). Channel topography was generated from data collected by USGS staff from the Columbia Environmental Research Center during single beam sonar surveys of the channel bed and high-resolution Real Time Kinematic Global Navigation Satellite Systems for positioning. Field data was used to generate and validate a Lagrangian Particle Tracking model to evaluate...
This dataset represents elevation data of the beach topography and near-shore bathymetry before placing dredge spoils on the beach at Minnesota Point near the Duluth Entry of Lake Superior, Duluth, Minnesota. The data was acquired using a lidar sensor, single-beam and multibeam sonars. The dataset includes DEMs of the terrestrial beach areas and topobathy (combined terrestrial and bathymetry), LAS and XYZ files of lidar, single-beam, and multibeam point data, and 2-ft contours. Data were collected in cooperation with the U.S. Army Corps of Engineers (USACE), Detroit District, to evaluate movement of placed material and overall change of near-shore bathymetry after beach nourishment.
Daily temperature predictions in the Delaware River Basin (DRB) can inform decision makers who can use cold-water reservoir releases to maintain thermal habitat for sensitive fish and mussel species. This data release supports a variety of flow and water temperature modeling efforts and provides the inputs and outputs of both machine learning and process-based modeling methods across 456 river reaches and 2 reservoirs in the DRB. The data are organized into these items: This research was funded by the USGS. Waterbody Information - One shapefile of polylines for the 456 river segments in this study, a reservoir polygon metadata file, and one shapefile of reservoir polygons for the Pepacton and Cannonsville reservoirs...
Topobathy was surveyed during the fall of 2022 for two locations along Minnesota Point, where past beach nourishment (dredge materials) were placed. These topobathymetric surveys of Minnesota Point and Lake Superior are repeat surveys that will be used evaluate movement of placed material and overall change of near-shore bathymetry. The data was acquired using a lidar sensor, and single-beam and multibeam sonars. The data includes DEMs of the terrestrial beach areas and near-shore bathymetries of Lake Superior near the Duluth and Superior entries of Minnesota Point, 2-foot smoothed contours, LAS and XYZ files. Data were collected in cooperation with the U.S. Army Corps of Engineers (USACE), Detroit District.
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