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: 13086
Survey Data Collection for the Bureau of Reclamation at Glen Canyon Dam near Page, Arizona, November 2020
This dataset describes survey data collected for the Bureau of Reclamation (Reclamation), the agency in charge of regulating Colorado River water control operations impounding the Lake Powell reservoir. Additional intent of the collected data was to assure consistencies among gaging elevations at Glen Canyon Dam near Page, Arizona as well as verification and alignment of a recently published topob
Nearshore bathymetry data from the Unalakleet River mouth, Alaska, 2019
This data release presents nearshore bathymetry data collected at the mouth of the Unalakleet River in Alaska, near the city of Unalakleet. The data were collected in August 2019 by the U.S. Geological Survey, Pacific Coastal and Marine Science Center. Nearshore bathymetry was measured along survey lines from the shore to a depth of approximately -7.4 m NAVD88 and in a portion of the estuary close
Colorado River at Salt Wash near Moab, UT - 2020/06/09 GPS Survey
The dataset contains GPS survey data collected at Colorado River at Salt Wash near Moab, UT, as part of a surface velocity mapping effort. The survey was conducted on June 9, 2020, and documents ground control points for a small unmanned aircraft system (sUAS) survey. The survey was performed using Leica GS14 RTK GPS equipment, S/N base-2806898, S/N rover-2806883.
Colorado River at Salt Wash near Moab, UT - 2020/06/10 Particle Image Velocimetry
The dataset consists of a shapefile of measurements of surface velocity magnitude and direction at the Colorado River at Salt Wash near Moab, UT, on June 10, 2020. The dataset contains approximately 1.4 km of river length. The surface velocity measurements were made by applying Large-Scale Particle Image Velocimetry (LSPIV) techniques, using overlapping videos collected by small Unmanned Aircraft
Input Files and Code for: Machine learning can accurately assign geologic basin to produced water samples using major geochemical parameters
As more hydrocarbon production from hydraulic fracturing and other methods produce large volumes of water, innovative methods must be explored for treatment and reuse of these waters. However, understanding the general water chemistry of these fluids is essential to providing the best treatment options optimized for each producing area. Machine learning algorithms can often be applied to datasets
Urbanization Impacts on Evapotranspiration Across Various Spatio-temporal Scales
The data in this release describe various aspects of the impacts of urbanization on evapotranspiration at local to global spatial scales. This data release is associated with the publication of these results in a concurrent journal article. Analyses in the journal article included comparisons between urban and non-urban ET in a variety of climate settings and spatial scales. Urbanization has been
Geospatial Dataset for the Geologic Framework and Hydrostratigraphy of the Edwards and Trinity Aquifers within Northern Medina County, Texas at 1:24,000
This data release supports the U.S. Geological Survey Scientific Investigation Map (SIM) by Clark and others (2020) by documenting the data used to create the geologic maps and describes the geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers for a 442 square-mile area in northern Medina County in south Texas. The karstic Edwards and Trinity aquifers that are the subject o
Peak-flow frequency analyses for selected streamgages in and near Powell County, Montana, based on data through water year 2019
The USGS Wyoming-Montana Water Science Center (WY-MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 66.7-, 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected st
MODFLOW-NWT model with SWI2 used to evaluate the water-table response of sea-level rise and change in recharge, Assateague Island, Maryland and Virginia:
A three-dimensional groundwater flow model, MODFLOW-NWT with the SWI2 module, was developed
to provide a better understanding of the fresh groundwater system of Assateague Island, Maryland and
Virginia. Groundwater flow on Assateague Island was simulated to evaluate the effects of sea-level rise
and changes in recharge on the depth to freshwater below the land surface, changes in freshwater
di
MODFLOW-NWT model used in Simulation of Groundwater Flow, and Analysis of Projected Water Use for the Washita River Alluvial Aquifer, Western Oklahoma
In 2020 the U.S. Geological Survey, in cooperation with the Oklahoma Water Resources Board, published a calibrated numerical groundwater-flow model and associated model documentation report that evaluated the effects of potential groundwater withdrawals on groundwater flow and availability in the Washita River alluvial aquifer in western Oklahoma. The results of groundwater-availability scenarios
Multichannel seismic-reflection and navigation data collected using SIG ELC1200 and Applied Acoustics Delta Sparkers and Geometrics GeoEel digital streamers during USGS field activity 2020-014-FA.
In March 2020, the U.S. Geological Survey and the University of Puerto Rico Mayaguez (UPRM) Department of Marine Sciences conducted a marine seismic-reflection experiment focused on observing geophysical evidence of submarine faulting and mass wasting related to the southwestern Puerto Rico seismic sequence of 2019-20. The seismic sequence culminated with a magnitude 6.4 earthquake centered beneat
Data and rloadest models for daily total nitrogen load for the School Branch Watershed, Hendricks County, Indiana - water years 2016-2018
Total Nitrogen (TN) rloadest models were developed to compute TN flux at School Branch at three USGS monitoring stations: School Branch at Maloney Road near Brownsburg, Indiana (03353415); School Branch at CR750N at Brownsburg, Indiana (03353420); and School Branch at Noble Drive at Brownsburg, Indiana (03353430). Frequently, TN models developed in rloadest regress discrete TN concentrations again