Data

This data release consists of Magnetic Repeat Station data collected at three different sites in the central United States. One site is in Fremont, NE, the other two are in Hereford and Del Rio, TX. Repeat Stations are temporary magnetic installations, where the Earth's magnetic field, or geomagnetic field, is measured for several days, with the goal of producing mean values of the...

Consumptive use (CU) of water is an important factor for determining water availability and groundwater storage. Many regional stakeholders and water-supply managers in the Upper Rio Grande Basin have indicated CU is of primary concern in their water-management strategies, yet CU data is sparse for this area. This polygon feature class, which represents irrigated acres for 2015, is a...

Data consist of geolocation, temperature, turbidity, time, and dye concentrations collected at four downstream locations from Rhodamine WT dye injection point on Yellowstone River in June 2017

Longitudinal profiles of near-streambed water temperature were measured at ambient river velocity using the method of Vacarro and Maloy (2006) within nine reaches of the Yakima River between Sunnyside Diversion Dam near Parker, WA and the confluence of the Yakima River with the Columbia River near Richland, WA. In eight reaches, near-streambed water temperature was measured along three...

This U.S. Geological Survey data release provides surface-water quality, streamflow, and groundwater-elevation data collected within the Central Pine Barrens (CPB) Region of Suffolk County, New York. The data were collected in cooperation with the Central Pine Barrens Commission and the Town of Brookhaven as part of a five-year comprehensive water-resources monitoring program. Water...

This is a terrestrial LiDAR laser scanner dataset of an intermittent waterway named Laguna Creek near the community of Dennehotso, AZ collected on June 2, 2020. The reach scanned for this study is located at the bridge where State Route 160 crosses the waterway. The river channel on the upstream side of the bridge has experienced bank erosion over recent years. A bank stabilization...

This dataset contains 40Ar/39Ar isotopic data and ages for rocks from the Yukon-Tanana upland of eastern Alaska and the northern Aleutian Range of south-central Alaska. The entire sample suite was collected as part of geological mapping and supporting geochemical and geochronological analysis were conducted from 2013 to 2019 by the Mineral Resources Program of the U.S. Geological Survey...

These polygon features represent a comprehensive inventory of perennial snow and ice on the landscape in Glacier National Park (GNP) in 2005. The imagery used to delineate perennial snow and ice was taken late season, therefore, all snow and ice present on the landscape is assumed to be perennial. Whether each polygon is "perennial snow and ice" or "active glacial ice" is included...

This dataset consists of rate-of-change statistics for the coastal bluffs and shorelines at Barter Island, Alaska, for the time period 1947 to 2020. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 5.0, an ArcGIS extension developed by the U.S. Geological Survey. A reference baseline was used as the originating point for the...

Time-averaged shear wave velocity over the upper 30 meters of the earth's surface (Vs30) is a key parameter for estimating ground motion amplification as both a predictive and diagnostic tool for earthquake hazards. A first-order approximation of Vs30 is commonly obtained via a topographic slope-based or terrain proxy due to the widely available nature of digital elevation models...

I use template matching and precise relative relocation techniques to develop a high-resolution earthquake catalog for the initial portion of the 2019 Ridgecrest earthquake sequence, from July 4-16, encompassing the foreshock sequence and the first 10+ days of aftershocks following the Mw 7.1 mainshock. Using 13,525 routinely cataloged events as waveform templates, I detect and precisely...

The Bing Maps team at Microsoft released a U.S.-wide vector building dataset in 2018, which includes over 125 million building footprints for all 50 states in GeoJSON format. This dataset is extracted from aerial images using deep learning object classification methods. Large-extent modelling (e.g., urban morphological analysis or ecosystem assessment models) or accuracy assessment with...