Skip to main content
U.S. flag

An official website of the United States government

All Data

Explore all data by the topics and refine type to find the digital information in a format suitable for direct input to software that can analyze its meaning in the scientific, engineering, or business context for which the data were collected.

Filter Total Items: 12876

USGS CoastCam at Madeira Beach, Florida: Timestack Imagery and Coordinate Data

A digital video camera was installed at Madeira Beach, Florida (FL) and faced west along the beach. Every hour during daylight hours, daily from 2017 to 2022, the camera collected raw video and produced snapshots and time-averaged image products. One such product is a "runup timestack". Runup timestacks are images created by sampling a cross-shore array of pixels from an image through time as wave

USGS CoastCam at Sand Key, Florida: Calibration Data

Two digital video cameras were installed at Sand Key, Florida (FL), facing south (camera 1) and north (camera 2) along the beach. Every hour during daylight hours, daily from 2018 to 2022, the cameras collected raw video and produced snapshots and time-averaged image products. This data release includes the necessary intrinsic orientation (IO) and extrinsic orientation (EO) calibration data to uti

Dedicated Dredging on the Barataria Basin Landbridge (BA-36): 2018 and 2021 land-water classifications

The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting

Semiquantitative mineralogy results from powder X-ray diffraction (XRD) analyses of mineral scales from The Geysers geothermal field, California, USA

This data release provides semiquantitative mineralogy results from X-ray diffraction (XRD) analyses of mineral scales from The Geysers vapor-dominated geothermal field in California. The mineral species and their abundances are reported in weight percent and values have been normalized to total 100 percent for each sample. The X-ray diffraction results show that the mineral samples from the wellh

The major, minor, and trace element geochemistry of mineral scales from The Geysers geothermal field, California, USA

This data release provides quantitative whole rock geochemical results from The Geysers vapor-dominated geothermal field in California. The concentrations of major elements are reported in oxide weight percent by wavelength dispersive x-ray fluorescence (WDXRF), the concentrations for sixty elements are reported in elemental weight percent (pct) or parts per million (ppm) from inductively coupled

Turbidity Data from the Upper Esopus Creek Watershed, New York

This data release contains continuous (15-minute interval) turbidity data from the upper Esopus Creek Watershed in the Catskill Mountain Region of New York State. The upper Esopus watershed drains to the Ashokan Reservoir, part of the New York City (NYC) drinking water supply system. Turbidity is a primary water-quality concern in the NYC water-supply system, particularly in the upper Esopus Creek

2011 and 2017 Pika Pathology Colorado

American pikas (Ochotona princeps) are small lagomorphs that live in mountainous talus areas of western North America. Studies on the histopathology of American pikas are limited. This report summarizes the clinical histories, and gross and histologic findings of 12 American pikas, including nine captive and three wild animals. Death was often attributed to stress (transport, handling, and anesthe

Development of High Surface Area Organosilicate Nanoparticulate Thin Films for Use in Sampling Hydrophobic Compounds in Sediment-Data

The data set describes the characterization of organosilica nanoparticle thin films used to adsorb PCBs from laboratory water and a sediment collected near Anniston Alabama. Data not shown here for the porewater and sediment PCB concentrations can be found in Appendix 1 of Ingersoll et al. 2014 (http://dx.doi.org/10.3133/sir20135125) Bulk sediment chemistry was obtained from Table A1-3a.Porewater

Microbial source tracking for streams in Scott County, Iowa, 2023

Surface water samples (n = 33) were collected in fall of 2023 at stream sites in Scott County Iowa, USA and were analyzed for microbial source tracking markers by quantitative polymerase chain reaction at the Laboratory for Infectious Disease and the Environment (LIDE). Microbial source tracking markers identify fecal sources of contamination by detecting microbes that are specific to certain anim

Simulations of larval fish transport and environmental conditions in Lake Michigan

Data files contain the simulated mean daily environmental conditions experienced by particles (which can be assumed to be planktonic larval alewife or yellow perch) in Lake Michigan during March 15 - July 31 of past and future years. Simulations were generated by integrating a series of climatic, hydrodynamic, biogeochemical, and Lagrangian particle dispersion (LPD) models. For each year, 42,765 p

Ungulate Migrations of the Western United States, Volume 4

This is the data archive for the publication Ungulate Migrations of the Western United States, Volume 4 and includes the collection of GIS map files that are mapped and described in the report. These map files are meant to provide a common spatial representation of the mapped migrations and seasonal ranges. This data release provides the means for ungulate migrations to be mapped and planned for a

Data release for climate change impacts on surface water extents across the central United States

High-frequency observations of surface water at fine spatial scales are critical to effectively manage aquatic habitat, flood risk and water quality. We developed inundation algorithms for Sentinel-1 and Sentinel-2 across 12 sites within the conterminous United States (CONUS) covering >536,000 km2 and representing diverse hydrologic and vegetation landscapes. These algorithms were trained on data