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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: 12872

“ChesBay 24k – LU": Land Use/Land Cover Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments

These tabular data are summaries of land use/land cover related variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as land use/land cover related contain all land use and land cover data including datasets that are split off or combined from those data (eg. agriculture or impervious classes only datasets). Outputs cons

“ChesBay 24k – NE": Natural Environment Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments

These tabular data are summaries of natural environment related variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as natural environment related include topography, soils/geology, hydrology/geomorphology, and other physical aspects of surface waters (temperature, flow, etc.). Outputs consist of tabular comma-separated

“ChesBay 24k – CL": Climate Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments

These tabular data are summaries of climate related variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as climate related include temperature and precipitation by both annual and monthly values. Outputs consist of tabular comma-separated values files (CSVs) for the local catchment and network summaries linked to the Na

“ChesBay 24k – HU": Human Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments

These tabular data are summaries of human related landscape variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as human related include agriculture, barriers, road density and road/stream crossing data. Outputs consist of tabular comma-separated values files (CSVs) for both local catchment and network summaries linked

Geochronologic and isotopic data for Paleohydrologic history of Pluvial Lake San Agustin, New Mexico

This dataset includes tables of radiocarbon, uranium thorium series, and luminescence geochronologic ages and stable carbon and oxygen isotope compositions for sedimentary and organic samples.

Digital hydrogeologic framework model of the Upper Colorado River Basin, western U.S.

This digital dataset was created as part of a U.S. Geological Survey hydrologic resource assessment and development of an integrated numerical hydrologic model of the hydrologic system of the Upper Colorado River Basin, an extensive region covering approximately 412,000 square kilometers in five states: Wyoming, Colorado, Utah, Arizona, and New Mexico. As part of this larger study, the USGS develo

Data for Characterizing Changes in the 1-percent Annual Exceedance Probability Streamflows for Climate Change Scenarios in the Housatonic River Watershed, Massachusetts, Connecticut, and New York

The U.S. Geological Survey in cooperation with the Federal Emergency Management Agency has conducted a study to evaluate potential changes to1-percent annual exceedance probability (AEP) streamflows. The study was conducted using the Precipitation Runoff Modeling System (PRMS). Climate inputs to the model of temperature and precipitation were scaled to anticipated changes that could occur in 2030,

Nodal Seismic Deployment at KCT and Lost Coast Headlands

Between October 12, 2019 and December 13, 2019, the U.S. Geological Survey deployed 30 nodal seismometers in Humboldt county CA for the purpose of recording seismicity in the subducting Gorda plate. 20 instruments were deployed at the McBride ranch, around NCSN station KCT, and 10 were deployed at the Bureau of Land Management's Lost Coast Headlands property. The nodes were replaced in mid-Novembe

Spring 2022 Arcata to Eureka, California, Distributed Acoustic Sensing (DAS) experiment: Nodal Seismometer 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

Spring 2022 Arcata to Eureka California, Distributed Acoustic Sensing (DAS) experiment

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

Acoustic Telemetry Evaluation of Invasive Carp in Kaukauna, Wisconsin (Summer 2019)

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

Hydroacoustic Data to Support Embayment Monitoring in Long Island Sound, Mystic and Norwalk Embayments, Connecticut, 2021-2022

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