All Data

These tabular data are the summarization of natural environment related variables within catchments of the Chesapeake Bay watershed at the 1:24,000 scale using the xstrm methodology. Variables being counted as natural environment related include soils/geology, lithology, elevation, slope, stream gradient, landform (geomorphon) and others. Outputs include tabular comma-separated values...

These tabular data are the summarization of climate related variables within catchments of the Chesapeake Bay watershed at the 1:24,000 scale using the xstrm methodology. Variables being counted as climate related include temperature and precipitation by both annual and monthly timesteps. Outputs include tabular comma-separated values files (CSVs) and parquet formatted files for the...

These tabular data are the summarization of human related variables within catchments of the Chesapeake Bay watershed at the 1:24,000 scale using the xstrm methodology. Variables being counted as human related include agriculture, barriers, road density, pesticide, and road/stream crossing data. Outputs include tabular comma-separated values files (CSVs), and parquet formatted files for...

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.

R code to test for differences in DNA yield from of eight sample categories to gain insights into which provided adequate DNA to be used in ddRADseq or already developed SNP panels. We calculated mean, median and standard deviation with package psych using the describe() function. Additionally, we generated boxplots using package ggplot2 where the quantity for each tissue sample is...

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...

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...

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...

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...

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...

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...