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USGS ScienceBase Team

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This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Upper Peninsula Restoration Assessment (UPRA) which aims to identify and rank coastal areas with the greatest potential for wetland habitat restoration. Each layer has a unique contribution to the identification of restorable wetlands. The 7 parameters (Parameter 0: Mask, Parameter 1: Hydroperiod, Parameter 2: Wetland Soils, Parameter 3: Flowlines, Parameter 4: Conservation and Recreation Lands, Parameter 5: Impervious Surfaces, and Parameter 6: Land Use) and Index Composite directly correlate to areas that are recommended for restoration. The dikes, degree...
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This model archive contains the input data, model code, and model outputs for machine learning models that predict daily non-tidal stream salinity (specific conductance) for a network of 459 modeled stream segements across the Delaware River Basin (DRB). Results are provided for two time periods: the historical drought-of-record from 1965-10-02 to 1969-12-30, and that same drought evaluated in climatic conditions that are consistent with a LENS2 enseble climate projection from 2057-10-02 to 2061-12-30. Results are provided for a total of three Random Forest models, corresponding to three input attribute sets (dynamic attributes, dynamic and static attributes, and dynamic attributes and a minimum set of static attributes)....
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This dataset consists of sample descriptions and radiocarbon age data from coastal environments on Montague Island, Alaska, analyzed at the National Ocean Sciences Accelerator Mass Spectrometry Facility.
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This dataset contains observations of the distribution of end-of-summer snow cover on approximately 3000 glaciers across Alaska and Northwest Canada. The data are provided as: (1) GeoTIFF rasters indicating the spatial extent of end-of-summer snow cover on each glacier's surface in each year (one raster per glacier per year), and (2) yearly tables with the equilibrium line altitude and the accumulation area ratio of the glaciers derived from the snow cover extent geotiffs. Snow cover was identified in Sentinel-2 imagery using a random forest algorithm trained with a manually-created validation dataset. A series of post-processing steps were used to infill missing data from terrain shadowing and cloud cover, and...
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This dataset consists of one table with sample collection locations and results of screening resident wildlife for Cryptosporidium and Giardia in the Alaskan Arctic, 2012-2017. We analyzed feces collected from polar bear, Pacific walrus, Arctic fox, and caribou with MERIFLUOR direct immunofluorescence assay to determine the presence of Cryptosporidium oocysts and Giardia cysts.
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ScienceBase brings together the best information it can find about USGS researchers and offices to show connections to publications, projects, and data. We are still working to improve this process and information is by no means complete. If you don't see everything you know is associated with you, a colleague, or your office, please be patient while we work to connect the dots. Feel free to contact sciencebase@usgs.gov.