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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Cross-section geometry and sediment-size distribution data from the Upper Colorado River, April 6-8, 2022 Cross-section geometry and sediment-size distribution data from the Upper Colorado River, April 6-8, 2022
The U.S. Geological Survey collected geomorphic monitoring data in cooperation with the Upper Colorado River Wild and Scenic Stakeholder Group. This data release contains cross-section geometry and sediment-size distribution data collected from five sites on the Upper Colorado River, Colorado during April 6-8, 2022. The five sites selected for monitoring were located at the Pumphouse...
MODFLOW-One Water Hydrologic Model integrated hydrologic-flow model used to evaluate water availability in the Osage Nation MODFLOW-One Water Hydrologic Model integrated hydrologic-flow model used to evaluate water availability in the Osage Nation
The integrated hydrologic-flow model, called the Osage Nation Integrated Hydrologic Model (ONIHM) was developed to assess water availability in the Osage Nation. This model was developed using the MODFLOW-One Water Hydrologic Model (MF-OWHM) code. The ONIHM was discretized into an orthogonal grid of 276 rows and 289 columns, and each grid cell measured 1,312.34 feet (ft) per side, with...
Elevation Data from Fountain Creek between Colorado Springs and the Confluence of Fountain Creek at the Arkansas River, Colorado, 2022 Elevation Data from Fountain Creek between Colorado Springs and the Confluence of Fountain Creek at the Arkansas River, Colorado, 2022
The U.S. Geological Survey, in cooperation with Colorado Springs Utilities, has been collecting topographic data annually since 2012 at 10 study areas along Fountain Creek, Colorado. The 10 study areas are located along Fountain Creek between Colorado Springs and the confluence of Fountain Creek and the Arkansas River in Pueblo. This data release presents topographic survey data, Light...
High Resolution Current and Future Climate SnowModel Simulations in the Upper Colorado River Basin High Resolution Current and Future Climate SnowModel Simulations in the Upper Colorado River Basin
This data release contains SnowModel snow evolution simulation output on a 100-meter (m) geospatial grid for a 311 kilometer (km) × 300 km model domain in Colorado, United States, encompassing the Colorado and Gunnison River Basin headwaters in the Upper Colorado River Basin. Weather Research and Forecasting (WRF) Model convection-permitting and orography-resolving (4-km grid spacing)...
Passive seismic depth to bedrock data collected along streams of the Farmington River watershed, CT, USA Passive seismic depth to bedrock data collected along streams of the Farmington River watershed, CT, USA
Using the horizontal-to-vertical spectral-ratio (HVSR) method, we infer regolith thickness (i.e., depth to bedrock) throughout the Farmington River Watershed, CT, USA. Between Nov. 2019 and Nov. 2020, MOHO Tromino Model TEP-3C (MOHO, S.R.L.) three-component seismometers collected passive seismic recordings along the Farmington River and the upstream West Branch of Salmon Brook. From...
Episodic Master Recession Model Output used for Recharge Estimation in a Rain Garden on Sandy Soil, Gary, Indiana, 2016-18 Episodic Master Recession Model Output used for Recharge Estimation in a Rain Garden on Sandy Soil, Gary, Indiana, 2016-18
A rain garden and other stormwater control measures (SCM) were installed at Gary City Hall in Gary, Indiana to retain water, increase infiltration, and divert stormwater from city sewers. In order to investigate the impacts of the installed SCMs, hydrologic data were collected prior to and following the installation to estimate site water budgets (Lampe and others, 2022). The Episodic...
Regression and load estimates for the tributary nutrient and sediment monitoring program on the Great Lakes, 2011-2013 Regression and load estimates for the tributary nutrient and sediment monitoring program on the Great Lakes, 2011-2013
Nutrient and sediment regression information (diagnostics and coefficients) and estimated load data from 30 tributaries to the Great Lakes, beginning of the program (water year 2011) to water year 2013.
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...