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.
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A bathymetric terrain model of multibeam sonar data collected between 2005 and 2018 along the Queen Charlotte Fault System in the Eastern Gulf of Alaska from Cross Sound, Alaska to Queen Charlotte Sound, Canada A bathymetric terrain model of multibeam sonar data collected between 2005 and 2018 along the Queen Charlotte Fault System in the Eastern Gulf of Alaska from Cross Sound, Alaska to Queen Charlotte Sound, Canada
This data publication is a compilation of six different multibeam surveys covering the previously unmapped Queen Charlotte Fault offshore southeast Alaska and Haida Gwaii, Canada. These data were collected between 2005 and 2018 under a cooperative agreement between the U.S. Geological Survey, Natural Resources Canada, and the National Oceanic and Atmospheric Administration. The six...
GIS, supplemental data table, and references for focus areas of potential domestic resources of critical minerals and related commodities in the United States and Puerto Rico (ver. 2.0, April 2024) GIS, supplemental data table, and references for focus areas of potential domestic resources of critical minerals and related commodities in the United States and Puerto Rico (ver. 2.0, April 2024)
In response to Executive Order 13817 of December 20, 2017, the U.S. Geological Survey (USGS) coordinated with the Bureau of Land Management (BLM) to identify 36 nonfuel minerals or mineral materials considered critical to the economic and national security of the United States (U.S.) (https://pubs.usgs.gov/of/2018/1021/ofr20181021.pdf). Acquiring information on possible domestic sources...
Polar Bear Continuous Time-Correlated Random Walk (CTCRW) Location Data Derived from Satellite Location Data, Chukchi and Beaufort Seas, July-November 1985-2017 Polar Bear Continuous Time-Correlated Random Walk (CTCRW) Location Data Derived from Satellite Location Data, Chukchi and Beaufort Seas, July-November 1985-2017
This dataset consists of one table with estimated locations of adult female polar bears during July-November 1985-2017, used for quantifying changes in summer land use over time. Locations were estimated with a Continuous Time-Correlated Random Walk (CTCRW) model fit to satellite tracking from radio-collared adult female polar bears. All bears included in this data set were captured and
R scripts for analysis of fall photographic waterfowl surveys, Izembek NWR, Alaska, 2017-2019 R scripts for analysis of fall photographic waterfowl surveys, Izembek NWR, Alaska, 2017-2019
This code repo contains three novel scripts used in Weiser et al. (2022): one to calculate the footprint of an aerial photo (01_function_photo_footprint.r), one to run a simulation to evaluate sample sizes for the photographic survey (02_photo_sample_size_sim.r), and one to run a simulation to evaluate sample sizes for the ocular survey (03_ocular_sample_size_sim.r). For more information...
Uptake and bioaccumulation of per- and polyfluoroalkyl substances in fish in the Columbia Slough, Portland, Oregon: 2019-2020 Uptake and bioaccumulation of per- and polyfluoroalkyl substances in fish in the Columbia Slough, Portland, Oregon: 2019-2020
The Columbia Slough is located south and parallel to the Columbia River in Portland, Oregon and consists of approximately 19 miles of predominantly urbanized waterway that drains approximately 32,700 acres of land with industrial, commercial, residential, and agricultural uses. Per- and polyfluoroalkyl substances (PFAS) are found in aqueous film forming foams (AFFF) used for firefighting...
Serological Survey Data for Francisella tularensis and Brucella spp. Exposure in Wildlife on the Arctic Coastal Plain of Alaska Serological Survey Data for Francisella tularensis and Brucella spp. Exposure in Wildlife on the Arctic Coastal Plain of Alaska
This dataset consists of one table with diagnostic screening results from a study of Francisella tularensis bacteria exposure in tundra-nesting geese and mammals and Brucella spp. exposure in mammals sampled from multiple locations on the Arctic Coastal Plain of Alaska, 2014-2017. The table provides sample collection and location data of geese, arctic fox, red fox, caribou, small mammal...
High-Flow Field Experiments to Inform Everglades Restoration: Experimental Data 2010 to 2022 (ver. 2.0, October 2023) High-Flow Field Experiments to Inform Everglades Restoration: Experimental Data 2010 to 2022 (ver. 2.0, October 2023)
Data were collected between 2010 and 2022 in a research area of the Everglades known as the Decompartmentalization Physical Model (DPM), a wetland area in the central Everglades that includes canals and levees bordering Water Conservation Area 3A (WCA-3A) to the northwest and Water Conservation Area 3B (WCA-3B) to the southeast. During the twelve-year study period more than ten major...
High-flow Experimental Outcomes for Everglades Hydraulics and Aquatic Metabolism High-flow Experimental Outcomes for Everglades Hydraulics and Aquatic Metabolism
Data were collected between 2013 and 2022 in a research area of the Everglades known as the Decompartmentalization Physical Model (DPM), a wetland area in the central Everglades that includes canals and levees bordering Water Conservation Area 3A (WCA-3A) to the northwest and Water Conservation Area 3B (WCA-3B) to the southeast. During the study more than ten major controlled flow...
Lower Salinas Valley Hydrologic Models: Discretization Data (ver. 1.2, August 2024) Lower Salinas Valley Hydrologic Models: Discretization Data (ver. 1.2, August 2024)
The Lower Salinas Valley Hydrologic Models’ discretization data includes a shapefile of the model domain and layers and a shapefile of the water balance subregions. The Lower Salinas Valley Hydrologic Models (LSVHM) include a historical model, the Salinas Valley Integrated Hydrologic Model (SVIHM) and a reservoir operations model, the Salinas Valley Operational Model (SVOM). While the...
Salinas Valley Hydrologic Models: Surface Water Data (ver. 1.1, September 2024) Salinas Valley Hydrologic Models: Surface Water Data (ver. 1.1, September 2024)
This digital dataset contains the surface water data used for both the Salinas Valley Watershed Model (SVWM) and the Lower Salinas Valley Hydrologic Models (Salinas Valley Integrated Hydrologic Model (SVIHM) and Salinas Valley Operational Model (SVOM)). The surface water dataset includes describes two regions of the Salinas River Watershed; the upper region is occurs primarily within San...
Biophysical Data for Simulating Overland Flow in the Everglades Biophysical Data for Simulating Overland Flow in the Everglades
A biophysical approach to modeling overland flow in the Everglades can help predict future outcomes for ecological habitat, water storage during droughts, and water conveyance during floods. The data provided include measurements of vegetation stem architecture, microtopography, and landscape pattern metrics. Stem architecture measurements present the opportunity to estimate flow...
Distribution, frequency, and global extent of hypoxia in rivers Distribution, frequency, and global extent of hypoxia in rivers
To assess the distribution, frequency, and global extent of riverine hypoxia, we compiled 118 million paired dissolved oxygen (DO) and water temperature measurements from 125,158 unique locations in rivers in 93 countries and territories across the globe. The dataset also includes site characteristics derived from StreamCat, the National Hydrography and HydroAtlas datasets and proximal...