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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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Puuhonua o Honaunau and Kaloko-Honokohau National Historical Parks, carbon dioxide treatment and qPCR eDNA assays for eradicating and monitoring invasive fish in anchialine pools, 2019-2022 (ver. 2.0, July 2023)

This data release includes metadata and tabular data that documents lab and field trials testing the efficacy of carbon dioxide (CO2) gas diffused into water to manage invasive fish in anchialine pools. The data release also includes information documenting sensitivity, specificity, and accuracy of quantitative polymerase chain reaction (qPCR) assays to detect environmental DNA (eDNA) from tilapia
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Pacific Island Ecosystems Research Center

Bathymetry and Velocity Data from Surveys at Highway Bridges Crossing the Missouri River between Kansas City and St. Louis, Missouri, May 19–26, 2021 (ver. 2.0, August 2023)

These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in comma-delimited table format, generated from hydrographic and velocimetric surveys near highway bridge structures over the Missouri River between Kansas City and St. Louis, Missouri, May 19–26, 2021. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), wh
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Central Midwest Water Science Center

Modeling the Effects of Large-scale Interior Headland Restoration on Tidal Hydrodynamics and Salinity Transport in an Open Coast, Marine-dominant Estuary: Model Input and Results

The effects of large-scale interior headland restoration on tidal hydrodynamics and salinity transport in the Grand Bay, Alabama (AL) estuary was assessed using a two-dimensional Discontinous-Galerkin Shallow Water Equations (DG-SWEM) model. Three restoration alternatives were simulated: 1) no action (herein referred to as na); 2) reconstruction of the Grand Batture Island (herein referred to as G

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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

Functional Gene Microarray Data From Cold-water Corals (Acanthogorgia spp., Desmophyllum dianthus, Desmophyllum pertusum, and Enallopsammia profunda) from the Atlantic Ocean off the Southeast Coast of the United States-Raw Data

The files in this data release (Kellogg and Voelschow, 2023) contain normalized microarray probe intensity values from GeoChip 5.0S microarrays referenced in the journal article entitled 'Functional gene composition and metabolic potential of deep-sea coral-associated microbial communities' by Pratte and others (2022). The GeoChip 5.0S microarrays, provided by Glomics Inc., contain 57,498 oligonuc

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Land Management Research Program, St. Petersburg Coastal and Marine Science Center

Prokaryotic Communities Shed by Diseased and Healthy Coral (Diploria labyrinthiformis, Pseudodiploria strigosa, Montastraea cavernosa, Colpophyllia natans, and Orbicella faveolata) into Filtered Seawater Mesocosms - Raw and Processed Data

The files in this data release are those referenced in the journal article by Evans and others (2023) entitled 'Investigating microbial size classes associated with the transmission of stony coral tissue loss disease (SCTLD)'. The files contain an amplicon sequence variant (ASV) table and the raw 16S rRNA gene amplicon files from fifty-six 0.22-micrometer (µm) pore size filters, as well as six rea

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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

Diet of burros at Lake Pleasant, Arizona and Sinbad, Utah Herd Management Areas in June and July 2019

We investigated the summer diets of feral burros (Equus asinus) in two ecosystems in which they are found in the United States: a subtropical desert in Arizona (Lake Pleasant Herd Management Area; HMA) and a temperate juniper shrubland in Utah (Sinbad HMA). In June and July of 2019, we gathered 50 burro fecal samples randomly from each location and used plant DNA metabarcoding to determine the bur
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Fort Collins Science Center

Early life stage data for Lake Ontario fishes, 2018-2021

This data release includes early life stage data for Lake Ontario fishes including egg deposition, larval fish emergence from varied substrates and depths, and horizontal larval fish tow surveys conducted across various habitats. Tables include data from multiple field surveys and lab studies from 2018, 2019, and 2021. Larval tow observations from 2018 are from lake wide sampling in Lake Ontario w
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Great Lakes Science Center

Updates to the Everglades Vulnerability Analysis (EVA) vegetation module

The Everglades Vulnerability Analysis (EVA) is a series of connected, modular Bayesian networks that predict the response of several Everglades indicators of ecosystem health to changes in hydrology, salinity, and the landscape. This release provides the code to update the vegetation module of EVA, validate the updated module, and provides the process and outputs of a sensitivity analysis of the m
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Wetland and Aquatic Research Center

12-year (2003-2014) Sharp-tailed Grouse and Greater Prairie-Chicken lek data collected near wind facilities in North Dakota and South Dakota

This data release contains four datasets that represent data collected for a study that determined locations of leks of Sharp-tailed Grouse (Tympanuchus phasianellus) and Greater Prairie-Chicken (Tympanuchus cupido), and counts of birds on those leks, in native mixed-grass prairie from 2003 to 2014 (excluding 2004) at and adjacent to seven wind facilities in North Dakota and South Dakota, USA. The
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Northern Prairie Wildlife Research Center

Predicted 2020 densities for 11 songbird species across the western United States

Informed wildlife management requires robust information regarding population status, habitat requirements, and likely responses to changing resource conditions. Growing evidence indicates single species management may inadequately conserve communities and result in undesired effects to non-target species. Thus, management can benefit from habitat relationship information for multiple species with
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Fort Collins Science Center

Prioritized sites for conifer removal within the Utah portion of Bird Conservation Region 16, 2020

Individual species often drive habitat restoration action; however, management under this paradigm may negatively affect non-target species. Prioritization frameworks which explicitly consider benefits to target species while minimizing consequences for non-target species may drastically improve management strategies. We examined extents to which conifer removal, an approach frequently implemented
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Fort Collins Science Center

Dust and sediment data from Great Salt Lake and northern Utah, 2022

These are physical and geochemical (elemental, strontium isotope) data from dust and sediments collected from and around Great Salt Lake, Utah. Data were collected by the U.S. Geological Survey Utah Water Science Center (West Valley City, Utah) to better understand the degree to which populations in northern Utah are affected by Great Salt Lake dust, dust from other sources, and metals pollution.
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Utah Water Science Center