Data

These data are from a 3-month long deployment of nodal seismometers that ran from May 18th, 2022 until September 1st, 2022 as part of a Distributed Acoustic Sensing (DAS) experiment above the Gorda plate (McGuire, et al., 2022). The sensors were deployed at 44 locations along Old Arcata Rd between Arcata and Eureka California (Figure 1); these locations track the approximate location of the fiber

These data are from a 2-month long Distributed Acoustic Sensing (DAS) Experiment in Arcata, CA, that was conducted jointly by the U.S. Geological Survey, Cal Poly Humboldt University, and OptaSense Inc. An OptaSense QuantX DAS interrogator was installed in the Arcata Police Station and connected to a fiber owned by Vero Communications that runs from Arcata to Eureka

This study deployed acoustic telemetry at the Fox River Navigational System Authority (FRNSA) in lock #2 and the upstream and downstream pools in Kaukauna, WI to document movements and behavior of telemetered fish species in response to injection of carbon dioxide. Telemetry equipment was setup in the test area for approximately 2 months during the summer of 2019. CSV metadata includes telemetry d

This data release includes hydroacoustic data for the 2021 to 2022 water years at four stations. These stations are part of a discrete and continuous monitoring project in embayments on Long Island Sound to support nutrient management activities in Connecticut. The data were collected by the U.S Geological Survey (USGS) in cooperation with the Connecticut Department of Energy and Environmental Pro

An existing, three-dimensional, transient groundwater-flow model of the Upper Charles River Basin, eastern Massachusetts, was modified to evaluate alternative groundwater-withdrawal scenarios on water levels in Kingsbury Pond. The pond is hydraulically connected to the groundwater-flow system, and water levels in the pond fluctuate in response to recharge to the aquifer from precipitation and wast

The Marcellus Shale Energy and Environment Laboratory (MSEEL) is part of the Northeast Natural Energy LLC (NNE) production facility on the Monongahela River in Monongalia County, West Virginia, USA. Natural gas extraction in the area creates large volumes of wastewater that may contain chemical compounds that pose risks to humans, animals, and the environment. The U. S. Geological Survey (USGS) ha

The dataset contains simulated net primary productivity (NPP) and greenhouse gas emissions (CH4, N2O, CO2) under a series of combinations of soil salinities (0.1, 0.5, 1, 2, 4, 6, 8, 10 psu) and water table depth (WTDs) (-30, -20, -10, -5, 0, 5, 10, 20, 30 cm) for tidal forest and oligohaline marsh sites along the Savannah River and Waccamaw River, USA.

A goal of the USGS Earth Mapping Resources Initiative (Earth MRI) program, which partners the USGS with State Geological Surveys, Federal agencies, and the private sector, is to collect new geological, geophysical, geochemical, and topographic (lidar) data in key areas of the U.S., with the purpose of stimulating domestic mineral exploration and production of critical minerals. As a first step, th

The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2021. The RCMAP product suite consists of nine fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, and tree, in addition to the te

This compilation presents total organic carbon and pyrolysis analysis data for the Pierre Shale, Niobrara Formation, and other Cretaceous marine shales in the Raton Basin-Sierra Grande Uplift Province. The data was used to characterize these potential source rock intervals in support of the oil and gas resource assessment in the province. The data was compiled from the publicly available files at

These data were derived from hydroacoustic data collected by uncrewed surface vehicles (USVs) and powered research vessels. The powered vessels overtook the USVs in Lakes Huron and Michigan to study fish avoidance of survey vessels during traditional acoustic surveys. The water column was divided into three depth groups (epilimnion, metalimnion, hypolimnion) for analysis. Each drone transect was b

This dataset maps the connectivity and bottlenecks among habitat patches within a six-kilometer ribbon along the United States terrestrial coastline of the Great Lakes. Each pixel represents the relative value that cell contributes to connectivity between and among habitat patches. When aggregated the pixel values produce a map of all possible pathways between habitat patches providing the end use