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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Geodetic deformation model results and corrections for use in U.S. National Seismic Hazard Model 2023 Geodetic deformation model results and corrections for use in U.S. National Seismic Hazard Model 2023
This page houses model results used in the U.S. National Seismic Hazard Model, 2023. We include results from four geodetic deformation models (Pollitz, Zeng, Shen, Evans), post-seismic relaxation ("ghost transient") calculation (Hearn), and creep calculation (Johnson/Murray). Geologic deformation model results are available in Hatem et al. (2022a). An overview of all model procedures and
Geochemical data for the Thunder Mountain volcanic field and dikes in the Stibnite-Yellow Pine district region Geochemical data for the Thunder Mountain volcanic field and dikes in the Stibnite-Yellow Pine district region
This dataset contains whole rock geochemical data for volcanic rocks, both extrusive rocks of the western part of the Thunder Mountain volcanic field and hypabyssal dikes in the Stibnite-Yellow Pine district and in the Pistol Creek dike swarm, which are in central Idaho. Major oxides and trace elements are included, which are reported as percentages and parts per million, respectively...
Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins
This data release provides all data and code used in Rahmani et al. (2021b) to model stream temperature and assess results. Briefly, we modeled stream temperature at sites across the continental United States using deep learning methods. The associated manuscript explores the prediction challenges posed by reservoirs, the value of additional training sites when predicting in gaged vs...
Model predictions for heterogeneous stream-reservoir graph networks with data assimilation Model predictions for heterogeneous stream-reservoir graph networks with data assimilation
This data release provides the predictions from stream temperature models described in Chen et al. 2021. Briefly, various deep learning and process-guided deep learning models were built to test improved performance of stream temperature predictions below reservoirs in the Delaware River Basin. The spatial extent of predictions was restricted to streams above the Delaware River at...
USGS National Wildlife Health Center necropsy results to determine cause of illness/death for seabirds collected in Alaska from January 1, 2017 through December 31, 2021 USGS National Wildlife Health Center necropsy results to determine cause of illness/death for seabirds collected in Alaska from January 1, 2017 through December 31, 2021
Summary of Bering and Chukchi Seas seabird necropsies, 2017-2021. More than 14,000 dead seabirds were reported and a total of 117 carcasses were examined. 92 cases had emaciation identified as the Cause Of Death (COD), seven cases where COD was undetermined, and 17 cases where COD was determined as "Other", which included predation, trauma, encephalitis, peritonitis, and bacterial...
Virginia Bridge Scour Pilot Study Streamflow Data Virginia Bridge Scour Pilot Study Streamflow Data
The objective of the Virginia Bridge Scour Pilot Study is to investigate methods for improving the utility of estimates of hydrologic flow in streams and rivers used when evaluating potential pier scour over the design-life of highway bridges in Virginia. Data measuring daily discharge and instantaneous discharge were required for analysis. The provided daily value and instantaneous...