Skip to main content
Advanced Search

Filters: Tags: Niobrara National Scenic River (X)

5 results (94ms)   

View Results as: JSON ATOM CSV
thumbnail
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.
Categories: Data, Data Release - Revised; Tags: Acadia National Park, Allegheny Portage Railroad National Historic Site, Amistad National Recreation Area, Apostle Islands National Lakeshore, Appomattox Court House National Historical Park, All tags...
thumbnail
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.
Categories: Data; Tags: Acadia National Park, Allegheny Portage Railroad National Historic Site, Apostle Islands National Lakeshore, Appomattox Court House National Historical Park, Aquatic Biology, All tags...
thumbnail
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.
Categories: Data, Data Release - Revised; Tags: Acadia National Park, Big Bend National Park, Big Cypress National Park, Big Thicket National Preserve, Cape Cod National Seashore, All tags...
thumbnail
This data consists of information on the specificity and sensitivity of 4 species specific qPCR assays for the detection of eDNA from 4 species of freshwater mussels, specifically Lampsilis cardium, Lampsilis siliquoidea, Pyganodon grandis, and Anodontoides ferussacianus. The data also contain the results of eDNA sampling in Niobrara River at Niobrara National Scenic River and Agate Fossil Beds National Monument for detection of these 4 species.
thumbnail
U.S. Geological Survey (USGS) scientists conducted field data collection efforts between August 17th and 28th, 2020 over a large stretch of the Niobrara River in Nebraska using high accuracy surveying technologies. The work was initiated as an effort to validate commercially acquired topobathymetric light detection and ranging (lidar) data. The goal was to compare and validate the airborne lidar data to topographic, bathymetric, structural, and infrastructural data collected through more traditional means (e.g. Global Navigational Satellite System (GNSS) surveying). The airborne topobathymetric lidar data will be used for characterization of endangered species aquatic habitat, improving the understanding of fluvial...
Tags: 3D Elevation Program, 3DEP, Airborne Lidar, Airborne Topobathymetric Lidar, Aquatic Biology, All tags...


    map background search result map search result map Total mercury concentrations in dragonfly larvae from U.S. national parks (ver. 9.0, November 2023) Mercury Bioaccumulation in US National Parks Using Dragonfly Larvae as Biosentinels, 2009-2018 2020 Niobrara River Topobathymetric Lidar Validation – USGS Field Survey Data Mercury and biogeochemical parameters in surface water and sediment from U.S. National Parks, 2014-2015 (ver. 2.0, December 2023) Development, testing and use of four species-specific qPCR assays for freshwater mussel eDNA detection in the Niobrara River Development, testing and use of four species-specific qPCR assays for freshwater mussel eDNA detection in the Niobrara River Mercury and biogeochemical parameters in surface water and sediment from U.S. National Parks, 2014-2015 (ver. 2.0, December 2023) Mercury Bioaccumulation in US National Parks Using Dragonfly Larvae as Biosentinels, 2009-2018 Total mercury concentrations in dragonfly larvae from U.S. national parks (ver. 9.0, November 2023)