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: 17373
40Ar/39Ar geochronology of supergene manganese oxides in the southern and central Appalachian Mountains 40Ar/39Ar geochronology of supergene manganese oxides in the southern and central Appalachian Mountains
This data release contains 40Ar/39Ar isotopic data for manganese oxides collected in the southern and central Appalachian Mountains of Tennessee, Virginia, and West Virginia. Furnace- and laser-heated analyses of cryptomelane separates from 84 samples are included, along with sample site location data.
High spatial resolution water quality data using the Fast Limnological Automated Measurements sensor platform in the Upper Mississippi River Basin pools 10-24 in 2024-2025 High spatial resolution water quality data using the Fast Limnological Automated Measurements sensor platform in the Upper Mississippi River Basin pools 10-24 in 2024-2025
In support of the U.S. Army Corps of Engineers Long Term Resource Monitoring Mississippi River program, water quality data were collected in 2024 and 2025 in the Upper Mississippi River Basin. Data were collected in 2024 to document spatial heterogeneity in water quality across seasons and hydrologic conditions with a focus on understanding patterns in chlorophyll. Additional data were...
Total Radon-222 Activity in Submarine Groundwater Collected Along the West Florida Shelf and Offshore Nature Coast, Indian Rocks Beach, and Venice Headland, Florida, USA, Between November 2022 and March 2024 Total Radon-222 Activity in Submarine Groundwater Collected Along the West Florida Shelf and Offshore Nature Coast, Indian Rocks Beach, and Venice Headland, Florida, USA, Between November 2022 and March 2024
Scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) led six sampling events between November 2022 and March 2024 in support of a collaborative research project investigating coastal boundary fluxes of dissolved analyte loads to the West Florida Shelf (National Science Foundation Grant Award OCE-2148989, Project 880516). During each...
Total Radon-222 Activity Measured in Water Column Samples Collected From Coastal Waters of the West Florida Shelf and Offshore Nature Coast, Indian Rocks Beach, and Venice Headland, Florida, USA, Between November 2022 and March 2024 Total Radon-222 Activity Measured in Water Column Samples Collected From Coastal Waters of the West Florida Shelf and Offshore Nature Coast, Indian Rocks Beach, and Venice Headland, Florida, USA, Between November 2022 and March 2024
Scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) led six coastal sampling events between November 2022 and March 2024 in support of a collaborative research project investigating coastal boundary fluxes of dissolved analyte loads to the West Florida Shelf (National Science Foundation Grant Award OCE-2148989, Project 880516)...
High spatial resolution sensor-based surface water quality data along the Lake Winnebago-Fox River-Green Bay continuum in 2023-2025 High spatial resolution sensor-based surface water quality data along the Lake Winnebago-Fox River-Green Bay continuum in 2023-2025
In support of multiple Great Lakes Restoration Initiative (GLRI) projects focusing on Green Bay and upland sources, surface water quality metrics related to primary producers, nutrients, and conductivity were measured using a boat-mounted, continuous sampling platform. These data are used to document changes in water quality as water flows from Lake Winnebago through the lower Fox River...
Gulf sturgeon depth and temperature records from a PSAT in Choctawhatchee River, FL Gulf sturgeon depth and temperature records from a PSAT in Choctawhatchee River, FL
This is a 10 column x 422 row CSV data file from a Wildlife Computer MiniPAT pop-off satellite tag logging data from a Gulf sturgeon (Acipenser desotoi) in the Choctawhatchee River, FL. Data is temperature and depth data at 5 minute intervals on Oct 9th and 10th, 2025, transmitted through Argos, downloaded through the Wildlife Computers portal. Depth sensor has an accuracy of 0.5 m...
Source code for determining the optimal set of spatio-temporal features for predicting burn probability in the state of California, USA Source code for determining the optimal set of spatio-temporal features for predicting burn probability in the state of California, USA
Wildfires play a critical role in determining ecosystem structure and function and pose serious risks to human life, property and ecosystem services. Burn probability (BP) models the likelihood that a location could burn. Simulation models are typically used to predict BP but are computationally intensive. Machine learning (ML) pipelines can predict BP and reduce computational intensity...
FLOwPER Database: StreamFLOw PERmanence field observations derived from Pacific Crest Trail (PCT) Water Report, May 2012 - September 2024 FLOwPER Database: StreamFLOw PERmanence field observations derived from Pacific Crest Trail (PCT) Water Report, May 2012 - September 2024
IMPORTANT NOTE: This dataset includes spatial locations where streamflow permanence observations (continuous flow and dry) were recorded and stored as part of the Pacific Crest Trail (PCT) water report (https://pctwater.com/) and subsequently processed to align with the FLOwPER (FLOw PERmanence) field survey available in Survey 123. Additional information to describe the field conditions...
Tok Alaska electromagnetic and magnetic airborne geophysical survey 2014: inverted resistivity models Tok Alaska electromagnetic and magnetic airborne geophysical survey 2014: inverted resistivity models
This data release is an inversion an airborne geophysical data survey collected from July to November 2014 for the State of Alaska Department of Natural Resources by CGG Dighem Survey. The inversion of the electromagnetic data to provide electrical resistivity and magnetic susceptibility models as a function of depth was carried in 2017 using EM1DFM program from University of British...
Supporting information for publication titled "Method to Rapidly Track Salinization in Surface Waters" Supporting information for publication titled "Method to Rapidly Track Salinization in Surface Waters"
In streams located throughout temperate regions of the United States, salinity and chloride concentrations have been increasing over time, which can threaten stream health and drinking water quality. During snow melt events, chloride concentrations can rapidly increase and exceed ecological thresholds, making it important to frequently determine chloride concentrations. However...
Louisiana Outer Coast Restoration Project – 2024 habitat map, North Breton Island Louisiana Outer Coast Restoration Project – 2024 habitat map, North Breton Island
This data release includes 2024 data for the Louisiana Outer Coast Restoration Project for North Breton Island. Specifically, this data release includes a detailed habitat map, general habitat map, and georeferenced imagery. These habitat maps are developed using the methods and classification scheme from Louisiana Coastal Protection and Restoration Authority’s (CPRA) Barrier Island...
Model Archive Summary and Time-Series Suspended-Sediment Concentrations Computed from a Surrogate Turbidity Regression at USGS Station 11336930 Mokelumne River at Andrus Island near Terminous, Ca (2010 - 2016) Model Archive Summary and Time-Series Suspended-Sediment Concentrations Computed from a Surrogate Turbidity Regression at USGS Station 11336930 Mokelumne River at Andrus Island near Terminous, Ca (2010 - 2016)
Continuous 15-minute time-series suspended-sediment concentration data computed from instream turbidity data. Turbidty data is managed by California Department of Water Resources (CDWR) using a YSI 6-series multi-parameter water quality sonde. Complete methods for turbidity data collection are described in attached methods document.