Filters: Tags: Shenandoah National Park (X) > Categories: Data (X)
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Raw data were collected in Shenandoah National Park during summer 2012. Air and temperature data were collected using temperature loggers at several stations throughout the park. These data were used in the publication of the manuscript "Accounting for groundwater influence on headwater stream thermal sensitivity to climate change" through the journal Ecological Applications. Water temperature data were collected at all 78 reach locations during the summer of 2012 (23 June–7 September). Temperature was measured every hour with a logger.
Categories: Data,
Publication;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Climatic change,
Ecological evaluation,
Fish habitats,
Ground water,
Shenandoah National Park,
Comma-separated values (.csv) file containing data related to mercury concentrations in dragonfly samples from U.S. National Parks collected as part of the Dragonfly Mercury Project (DMP). This data release supersedes Eagles-Smith, C.A., Nelson, S.J., Flanagan-Pritz, C.M., Willacker Jr., J.J., and Klemmer, A.J., 2018, Total mercury concentrations in dragonfly larvae from U.S. national parks (ver. 8.0, December 2022): U.S. Geological Survey data release, https://doi.org/10.5066/P9TK6NPT. Please contact fresc_outreach@usgs.gov for access.
Rapid advances in video technology are enabling new strategies for species abundance estimation. Here we provide estimates of fish abundance derived from video data collected in a series of stream pools in Shenandoah National Park, Virginia (n=41). Two 360-degree cameras were simultaneously used at each pool site where 15-minutes of underwater footage was collected. Environmental data are provided describing pool morphology, canopy cover, and fish cover (boulders, large woody debris, and undercut banks).
Categories: Data;
Tags: Ecology,
Shenandoah National Park,
USGS Science Data Catalog (SDC),
aquatic biology,
field sampling,
This database contains hourly water and air temperature data from 120 site locations within 17 watersheds in Shenandoah National Park, Virginia between June 23,2012 and October 25, 2016. The database includes three separate table files (i.e, entities) in csv format: 1) Water temperature data, 2) air temperature data, and 3) site location data. All temperature data were collected using HOBO Pro V2 thermographs (accuracy = 0.2 degrees Celsius, drift = <0.1 degrees Celsius per year per year). These raw data were summarized to mean daily air and water temperatures for the analysis used in Johnson et al. Johnson, Z.C., Snyder, C.D. and Hitt, N.P., 2017, Landform features and seasonal precipitation predict shallow groundwater...
Categories: Data;
Types: Citation;
Tags: Hydrogeology,
Shenandoah National Park,
USGS Science Data Catalog (SDC),
headwater streams,
headwater streams,
The U.S. Geological Survey (USGS) Water Mission Area (WMA) - Ecosystems Mission Area (EMA) EcoDrought project is comprised of interdisciplinary teams in five pilot regions across the country. The over-arching project goal is to measure streamflow in headwater streams and to relate flow variation to stream fish population dynamics. For the catchments located in Shenandoah National Park, Virginia, the Virginia/West Virginia Science Center and the New England Water Science Center (NewEngWSC) partnered with the fish ecology group at Leetown Science Center, a part of the EMA’s Eastern Ecological Science Center, in order to establish gaging stations in headwater streams with ongoing ecological data collection and modeling...
Categories: Data;
Tags: Shenandoah National Park,
USGS Science Data Catalog (SDC),
Virginia,
biota,
climate change,
Comma-separated values (.csv) files containing data related to a National-scale assessment of mercury bioaccumulation in the US National Parks using dragonfly larvae as biosentinels through a citizen science framework.
In July 2016, July 2019, and March 2020, 318 seismic recordings were acquired at locations within Shenandoah National Park, Virginia, using MOHO Tromino Model TEP-3C three-component seismometers to assess depth to bedrock using the HVSR method. This method requires a measurement of estimate of shear wave velocity, which depends on the regolith sediment composition and density, for the conversion of measured resonance frequency to a depth to bedrock. Shear wave velocities were calculated for sediment in Shenandoah NP at locations where regolith thickness is known (e.g. at documented boreholes). The locations in this study were generally selected to characterize the depths to bedrock adjacent to streams monitored...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: HVSR,
Headwater Streams,
Hydrogeology,
Regolith Thickness,
Shenandoah National Park,
Comma-separated values (.csv) file containing data related to mercury and biogeochemical parameters in surface water and aquatic sediment collected from U.S. National Parks in 2014-2015.
Includes data used to estimate population demographic parameters for an exemplary high-elevation amphibian species, the federally endangered Shenandoah salamander (Plethodon shenandoah). These parameters were entered into a Markov projection model which we used to forecast the future population status of the Shenandoah salamander.
Categories: Data;
Tags: Ecology,
Shenandoah National Park,
USGS Science Data Catalog (SDC),
Wildlife Biology,
Wildlife Biology,
The Shenanadoah Salamander (Plethodon shenandoah) is an endangered salamander found only in the mountains of Shenandoah National Park. Field surveys of the salamander were conducted from 2007-2022 using daytime cover object surveys. In order to capture the totality of P. shendandoah’s range we sampled from low to high elevation across a broad geographic range. We created a spatial generalized additive model with aspect, latitude, longitude, and elevation and heat load index (HLI) to predict salamander occupancy and create a new range map based on our extended surveys. All spatial covariates were extracted from a 15m digital elevation model layer of Shenandoah National Park. Temperature and precipitaiton data were...
Categories: Data;
Tags: Shenandoah National Park,
USGS Science Data Catalog (SDC),
amphibian,
none,
range map,
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