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.
Filter Total Items: 16288
Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S. 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...
Upper Peninsula Coastal Wetland Restoration Assessment: Dikes 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...
Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Green Bay, U.S.: Composite Model Layers 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...
Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Green Bay, U.S.: Degree Flowlines 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...
Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Green Bay, U.S.: Dikes 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...
Data describing habitat use and availability for wild waterfowl in California, USA 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 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...
Model Code, Outputs, and Supporting Data for Approaches to Process-Guided Deep Learning for Groundwater-Influenced Stream Temperature Predictions 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...
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, (ver. 2.0, July, 2025) 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, (ver. 2.0, July, 2025)
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, 2022, and 2023 are provided in “ARMD_wells_data_2021-23_ver2.0.xlsx”. Analytical...
Floating Transient Electromagnetic Survey Data from the Columbia River near Hanford, WA 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...
MODFLOW-2005 model used to simulate the regional groundwater flow system in the updated New Jersey Coastal Plain model, 1980-2013 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...
Machine-learning model predictions and rasters of groundwater salinity in the Mississippi Alluvial Plain 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...