All Data
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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
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
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.
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
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
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
Floating Transient Electromagnetic Survey Data from the Columbia River near Hanford, WA
This data release contains motorboat-towed floating transient electromagnetic data collected from the Columbia River near Hanford WA. Data were collected using a ~16 foot (4.9 meters) outboard motorboat during two field campaigns: July 2021 and April 2022. In total, several hundred linear kilometers of data were collected from a reach of the Columbia that extends from approximately Vernita Bridge
MODFLOW-2005 model used to simulate the regional groundwater flow system in the updated New Jersey Coastal Plain model, 1980-2013
A third revision of the New Jersey Coastal Plain (NJCP) groundwater flow model, using MODFLOW-2005 (version 1.12.00), was completed to maintain the model’s usefulness for water-resource managment and development. The regional groundwater-flow model was initially developed for the U.S. Geological Survey (USGS) Regional Aquifer System Analysis (RASA) program. Periodic revision of the model is requir
Machine-learning model predictions and rasters of groundwater salinity in the Mississippi Alluvial Plain
Groundwater from the Mississippi River Valley alluvial aquifer (MRVA), coincident with the Mississippi Alluvial Plain (MAP), is a vital resource for agriculture and drinking-water supplies in the central United States. Water availability can be limited in some areas of the aquifer by high concentrations of salinity, measured as specific conductance. Boosted regression trees (BRT), a type of ensemb
Cyanobacterial Picoplankton Data Collected from four Kansas Reservoirs during August 2020 through August 2022
This dataset provides the estimated cell abundance and total biovolume for whole-water picoplankton samples collected by the U.S. Geological Survey (USGS) at 25 different sites in Kansas between August of 2020 and August of 2022. The samples were analyzed by BSA Environmental Services, Inc. This data is part of a larger multi-agency project between U.S. Environmental Protection Agency, National Ae
Model Archive for indirect discharge computation for a 300-meter reach of Sand Creek, Wyoming, USA, 2023
This product includes a model archive using the iRIC-SAC Solver for indirect discharge computation of the spring snowmelt peak flow surveyed on May 27, 2023, and estimated to have occurred in early April 2023. The best-fit discharge for this flood is 3,500 ft3/s. Other data include topographic cross-section data, control points, and high-water marks collected by RTK GPS, and selected photographs o
Fluorescence sensor measurements in sediment suspensions to evaluate turbidity corrections
The use of field-deployable fluorescence sensors to better understand dissolved organic matter concentrations and composition has grown immensely in recent years. Applications of these sensors to critical monitoring efforts have also grown to encompass post-fire monitoring, wastewater tracking, and use as a proxy for various contaminants. Despite the growth, it is well known that these sensors are