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Metabarcoding data from freshwater mussel eDNA collected in Clinch River, Virginia 2017 Metabarcoding data from freshwater mussel eDNA collected in Clinch River, Virginia 2017
Data from metabarcoding assays to detect a suite of mussel species using mitochondrial DNA regions of the cytochrome c oxidase subunit I (COI) and NADH dehydrogenase subunit (ND1) genes sequences.
Data on blood cells of the collector urchin, Tripneustes gratilla Data on blood cells of the collector urchin, Tripneustes gratilla
Echinoderms such as urchins are important in marine ecosystems, particularly as grazers, and unhealthy urchins can have important ecological implications. For instance, unexplained mortalities of Diadema sp. in the Caribbean were followed by algal overgrowth and subsequent collapse of coral reef ecosystems. Unfortunately few tools exist to evaluate echinoderm health making management of
Long-term sandbar monitoring data along the Colorado River in Marble and Grand Canyons, Arizona (ver. 2.0, March 2026) Long-term sandbar monitoring data along the Colorado River in Marble and Grand Canyons, Arizona (ver. 2.0, March 2026)
This data release comprises nearly three decades of measurements of sandbar topography for monitoring sites along the Colorado River in Grand Canyon National Park and Glen Canyon National Recreation Area. The data were collected to monitor the effects of the operations of Glen Canyon Dam on sandbars, which are also recreational campsites. The data were collected by the US Geological...
Californian crop pests, pesticide applications, and phylogenetic information of crops Californian crop pests, pesticide applications, and phylogenetic information of crops
Information on pesticide applications, crop pests, and phylogenetic affinities between Californian crops and regional native plants were compiled. Data was collected to inform models of pesticide applications and host use of pests among California's 93 major crops. Pesticide data was assembled from California Department of Pesticide Regulation records, pest information was assembled from...
2017 Yellowstone River Dye-Trace Experiment 2017 Yellowstone River Dye-Trace Experiment
Data consist of geolocation, temperature, turbidity, time, and dye concentrations collected at four downstream locations from Rhodamine WT dye injection point on Yellowstone River in June 2017
Image and biometric data for fish from Great Lakes tributaries collected during spring 2019 Image and biometric data for fish from Great Lakes tributaries collected during spring 2019
Image and biometric data were collected for 22 species of fish from Great Lakes Tributaries in Michigan and Ohio, and the Illinois River for the purpose of developing a fish identification classifier. Data consists of a comma delimited spreadsheet that identifies image file names and associated fish identification number, common name, species code, family name, genus, and species, date...
Information from Bird Nests Monitored on the Colville River Delta, Alaska, 2011-2018 Information from Bird Nests Monitored on the Colville River Delta, Alaska, 2011-2018
This dataset contains nesting information for birds breeding at a site on the Colville River, Alaska, 2011-2018. Nests were located during area searches conducted by biologists, and standardized information on each nest was collected following protocols of the Arctic Shorebird Demographic Network (Brown et al. 2014).
Geochemistry of fine-grained sediment in Bellingham Bay, Nooksack River, and small creeks from June 2017 to September 2019 Geochemistry of fine-grained sediment in Bellingham Bay, Nooksack River, and small creeks from June 2017 to September 2019
Elemental compositions are reported for the fine fraction of surface sediments from Bellingham Bay (June 2017 and March 2019) and in the fine fraction of streambank sediment from the Nooksack River (September 2017, March 2019, September 2019), Squalicum Creek (March and September 2019), Whatcom Creek (March and September 2019), and Padden Creek (March and September 2019). Major oxide...
Data and Model-based Estimates from Black Brant (Branta bernicla nigricans) Fall Age Ratio Surveys at Izembek Lagoon, Alaska Data and Model-based Estimates from Black Brant (Branta bernicla nigricans) Fall Age Ratio Surveys at Izembek Lagoon, Alaska
These data are in three tables relating to fall age ratios (number of juvenile birds : total birds aged) of Black Brant (Branta bernicla nigricans) staging in Izembek Lagoon, Alaska, since 1963. The first table is observation data for the age classes of Black Brant during surveys, and associated survey characteristics. Two tables provide model-based estimates of age ratios by year along...
Land Cover, Climate, and Geological conditions summarized within Maryland DNR Biological Stream Survery (MBSS) Catchments Land Cover, Climate, and Geological conditions summarized within Maryland DNR Biological Stream Survery (MBSS) Catchments
This dataset consists of several measures of landscape characteristics, each of which is summarized from raster data within spatial polygons. These spatial polygons represent the land area upstream of sampled stream reaches. These stream reaches were sampled by the Maryland Department of Natural Resources for the Maryland Biological Stream Survey program during survey rounds one, two...
Source code in R for creation of regional regression equations for estimation of four hydraulic properties of streams at approximate bankfull conditions for different ecoregions in Texas associated with U.S. Geological Survey Scientific Investigations Rep Source code in R for creation of regional regression equations for estimation of four hydraulic properties of streams at approximate bankfull conditions for different ecoregions in Texas associated with U.S. Geological Survey Scientific Investigations Rep
This repository contains R language source code used for creation of regional regression equations for estimation of four hydraulic properties of streams at approximate bankfull conditions for different ecoregions in Texas. This code is in support of the following study: Asquith, W.H., Gordon, J.D., and Wallace, D.S., 2020, Regional regression equations for estimation of four hydraulic...
Satellite-Derived Training Data for Automated Flood Detection in the Continental U.S. Satellite-Derived Training Data for Automated Flood Detection in the Continental U.S.
Remotely sensed imagery is increasingly used by emergency managers to monitor and map the impact of flood events to support preparedness, response, and critical decision making throughout the flood event lifecycle. To reduce latency in delivery of imagery-derived information, ensure consistent and reliably derived map products, and facilitate processing of an increasing volume of remote...