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Filter Total Items: 13191

CO2 System Measurements in Hillsborough River, Florida

This dataset contains CO2 system data collected by scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center to investigate the effects of HgCl2 on low salinity organic rich estuarine water samples in the Tampa Bay estuary located in west central Florida. Discrete water samples were collected on January 26, 2022, from two 30L Niskin bottles that captured su
By
Environmental Health Program, St. Petersburg Coastal and Marine Science Center, St. Petersburg Carbon Analytical Laboratory

High-resolution Geophysical and Imagery Data Collected in November 2022 Offshore of Boca Chica Key, FL

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida (USGS - SPCSMC), conducted a geophysical and imagery survey around Boca Chica Key, Florida, during November 2022. During this study, multibeam bathymetry and acoustic backscatter data were collected aboard the research vessel (R/V) Sallenger using a Reson T50P Dual Head system. U
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S.: Degree Flowlines

This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. These data represent the flowline network in the Upper Peninsula Restoration Assessment (UPRA). It is attributed with the number of disconnections (e.g., road crossings) between the reach and Lake Ontario. The more road crossings on a flowline the more disconnected that

By
Great Lakes Science Center, Great Lakes Restoration Initiative

Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S.

This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Upper Peninsula Restoration Assessment (UPRA) which aims to identify and rank coastal areas with the greatest potential for wetland habitat restoration. Each layer has a unique contribution to the identification of restorable wetlands. Th
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Science Analytics and Synthesis (SAS) Program, Science Synthesis, Analysis and Research Program, Great Lakes Science Center, Great Lakes Restoration Initiative

Upper Peninsula Coastal Wetland Restoration Assessment: Dikes

This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. These data represent the location of dikes within the Upper Peninsula Restoration Assessment (UPRA) study area. An ArcGIS model (Python script) identified dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certai

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Great Lakes Science Center, Great Lakes Restoration Initiative

Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Green Bay, U.S.: Composite Model Layers

This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Green Bay Restoration Assessment (GBRA) which aims to identify and rank coastal areas with the greatest potential for wetland habitat restoration. Each layer has a unique contribution to the identification of restorable wetlands. The 7 pa
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Great Lakes Science Center, Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center, Great Lakes Restoration Initiative

Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Green Bay, U.S.: Degree Flowlines

This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. These data represent the flowline network in the Green Bay Restoration Assessment (GBRA). It is attributed with the number of disconnections (e.g., road crossings) between the reach and Lake Ontario. The more road crossings on a flowline the more disconnected that area
By
Great Lakes Science Center, Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center, Great Lakes Restoration Initiative

Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Green Bay, U.S.: Dikes

This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. These data represent the location of dikes within the Green Bay Restoration Assessment (GBRA) study area. An ArcGIS model (Python script) identified dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain thre

By
Great Lakes Science Center, Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center, Great Lakes Restoration Initiative

Data describing habitat use and availability for wild waterfowl in California, USA

These data describe the overlap of wild waterfowl and domestic poultry operations in California, USA. These data support a paired USGS publication.
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Eastern Ecological Science Center, Western Ecological Research Center (WERC)

Sampling information and water-quality data collected during viable avian influenza virus sampling in Iowa wetlands, 2022

Data sets containing: (1) sampling information and equipment, (2) precipitation and air temperature data from Iowa counties containing wetlands sampled, (3) water quality measurements from Iowa wetlands sampled, (4) quality assurance quality control sample result information, and (4) similarities between the highly pathogenic H5N1 virus water sequence and other highly pathogenic avian influenza H5
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Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center

Model Code, Outputs, and Supporting Data for Approaches to Process-Guided Deep Learning for Groundwater-Influenced Stream Temperature Predictions

This model archive provides all data, code, and modeling results used in Barclay and others (2023) to assess the ability of process-guided deep learning stream temperature models to accurately incorporate groundwater-discharge processes. We assessed the performance of an existing process-guided deep learning stream temperature model of the Delaware River Basin (USA) and explored four approaches fo
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New England Water Science Center

Groundwater, surface water, and soil data collected near and at the Ammonium Perchlorate Rocket Motor Destruction (ARMD) facility at the Letterkenny Army Depot, Chambersburg, Pennsylvania

Sampling was conducted by the U.S. Geological Survey (USGS) at four wells, one surface water site, and five soil sampling locations near and at the Ammonium Perchlorate Rocket Motor Destruction (ARMD) facility at the Letterkenny Army Depot. Analytical results for groundwater samples collected in 2021 are provided in “ARMD_wells_data_2021.xlsx”. Analytical results for surface-water samples collecte
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Pennsylvania Water Science Center
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