All Data

Surface electrical resistivity tomography (ERT) data were collected in September of 2018 near Ollalie North springs in the upper McKenzie River watershed of west-central Oregon. ERT data were acquired along a single transect on the north bank of Ollalie Creek using a combination of inverse Schlumberger, dipole-dipole, and Wenner arrays. These data were collected to contribute high-resolution subsu

Statistical downscaling methodology was applied to global atmosphere reanalysis, using a 10 year dynamical modeled output as training data, to extend a record of wind and humidity back through the satellite era beginning 1979 or 1980. To extend the record of weather to cover a longer period and thus a greater number of significant fire weather events, statistical downscaling was implemented using

These data include individual zip files which contain TIFF (Tagged Image File Format) images of graphic drill core logs showing associated drill core information, a TIFF image of the explanation for the lithology and structure sections of the logs, Esri shapefiles of the locations of the drill hole collars, and .csv files of tabular data that were compiled from handwritten drill core logs. The dri

The data include video record segments for a period of ~3.5 hours beginning 2016/05/03 at approximately the beginning of the universal time day. Each video record documents 10 active source explosions from three video cameras (30 total video segments). The data are part of an assessment of directed blast dynamics on a surrounding acoustic sensor array. The acoustic data is part of an independent d

Presented here are bathymetric data collected at Otter Creek near Oregon, Ohio. Data were collected on September 26, 2023, and were located bewtween the Millard Avenue bridge and the mouth at Lake Erie. The survey was completed using an acoustic Doppler current profiler (ADCP) that was deployed from the side of a kayak. Data were georeferenced using a global navigation satellite system (GNSS) smar

This product is a georectified and tonally balanced mosaic of aerial photographs collected in 1938 by the U.S. Bureau of Reclamation along the floodplain of the Colorado River in Mohave Valley region of Arizona, California and Nevada. This dataset is a primary resource for the development of a geologic map showing the floodplain and river channel characteristics along the Colorado River in Mohave

This data release supports a paired USGS publication that explores how road watering on an active construction site impacts dust accumulation and monarch distribution.

An inventory of facilities that bottle water or other beverages containing water (including soft drinks, beer, wine, or spirits) or that manufacture ice was compiled by combining available datasets from multiple sources. This water bottling inventory dataset includes facilities within all 50 states of the United States (U.S.), one federal district (Washington, District of Columbia), and three terr

NV5 Geospatial, in collaboration with EDCON-PRJ, Inc. acquired high-precision airborne magnetic and radiometric data over southwestern New Mexico. Survey flight-lines were flown in an east-west direction and are spaced at 200 meters. North-south tie lines are spaced at 2000 meters. The survey contained 142,673 line-kms (88,650 miles) of data and covered an area of over 25,900 sq. km (10,000 sq mil

This dataset summarizes selected basin and streamflow special conditions for USGS streamgages in Alaska that are commonly used for site and period of record selection for regional analyses, through water year 2022. The data consist of a table providing information about the type of streamflow available for the site, site special conditions related to the timing of data collection, basin special co

Continuous 15-minute time-series suspended-sediment concentration (SSC) data computed from USGS instream turbidity data using a YSI EXO multi-parameter water quality sonde for the Sacramento River Deep Water Ship Channel near Rio Vista, California station (DWS; USGS #11455335). A Model Archive Summary (MAS) describes the development of a continuous 15-minute SSC time-series regression model.

This digital dataset contains the land use data used for both the Salinas Valley Hydrologic Models (SVHM): the Salinas Valley Watershed Model (SVWM), the Salinas Valley Integrated Hydrologic Model (SVIHM), and Salinas Valley Operational Model (SVOM)). Land use data were compiled from available state, local, and federal datasets. Available multi-year composite land use data were integrated with na