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Fluvial Erosion Hazard Rapid Geomorphic Assessment Data from the Marengo Watershed, Ashland County, Wisconsin Fluvial Erosion Hazard Rapid Geomorphic Assessment Data from the Marengo Watershed, Ashland County, Wisconsin
An extreme flood in 2016 caused widespread culvert blockages and road failures across northern Wisconsin, including extensive damage along steep tributaries and ravines in the Marengo River watershed. Along with the flooding, there were fluvial erosion hazards (FEH) associated with a large amount of erosion in headwater areas. Of special concern were FEHs associated with gullying, loss...
Fluvial Fish Native Distributions for the Conterminous United States using the NHDPlusV2.1 and Boosted Regression Tree (BRT) Models Fluvial Fish Native Distributions for the Conterminous United States using the NHDPlusV2.1 and Boosted Regression Tree (BRT) Models
Note: this data release has been superseded by version 2.0, available here: https://doi.org/10.5066/P1UV25FW. This USGS data release documents species distribution models for 271 fluvial fish species in their native ranges of the conterminous United States. Source data, supporting code and model results are documented in this data package. Boosted Regression Tree (BRT) models were used...
Forcing and Normalizing Operation (FANO) method for the Operational Simplified Surface Energy Balance (SSEBop) ET model Forcing and Normalizing Operation (FANO) method for the Operational Simplified Surface Energy Balance (SSEBop) ET model
We developed an improved approach to the parameterization of the Operational Simplified Surface Energy Balance (SSEBop) model using the Forcing and Normalizing Operation (FANO). The FANO parameterization was implemented on two computing platforms using Landsat and gridded meteorological datasets: 1) Google Earth Engine (GEE) and 2) Earth Resources Observation and Science (EROS) Center...
Fractional cover estimates of sweet clover derived from UAV, aerial, and Sentinel-2 imagery for central Montana and northwest South Dakota, 2019 Fractional cover estimates of sweet clover derived from UAV, aerial, and Sentinel-2 imagery for central Montana and northwest South Dakota, 2019
Yellow sweet clover (Melilotus officinalis; clover hereafter) is a biennial legume native to Eurasia that is now present in all 50 states. Clover can grow 2 m tall and achieve high densities across large areas in the Northern Great Plains when conditions are conducive, such as in 2019. Clover is highly efficient at fixing nitrogen in soils which reduces the abundance of native grasses...
Frequency of forest change across the conterminous United States from 1985-2020 Frequency of forest change across the conterminous United States from 1985-2020
We summarized annual remote sensing land cover classifications from the U.S. Geological Survey Land Cover Monitoring, Assessment, and Projection (LCMAP) annual time series to characterize the frequency of forest change across the conterminous United States (CONUS) between 1985-2020. Data include a raster map of CONUS with pixel values representing the number of years in which it was...
Freshwater Introduction South of Highway 82 (ME-16): 2018 Land-Water Classification Freshwater Introduction South of Highway 82 (ME-16): 2018 Land-Water Classification
The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to...
Functional Assessment of Great Lakes Coastal Wetlands 2016-2018 Functional Assessment of Great Lakes Coastal Wetlands 2016-2018
This dataset is the result of a collaboration between the US Geological Survey Great Lakes Science Center and the Great Lakes Coastal Wetland Monitoring Program (CWMP). It contains information on habitat structure, water quality, vegetation, fish, and fish prey in Great Lakes coastal wetlands in the spring and fall from 2016 to 2018. The methods and resulting data mirror the CWMP's...
Functional Flow Metrics for Select Reference Sites in California: Data Release for Modeling Functional Flow Metrics for Select Reference Sites in California: Data Release for Modeling
The hydrologic modeling approach used to predict functional flows relies on daily streamflow data from gages operated by the U.S. Geological Survey (USGS) in California. This dataset contains, for each of 219 gages, a collection of metrics computed on each water year for the period of record to and including Water Year 2016.
Fundamental Dataset Rasters for Delaware StreamStats 2020 Fundamental Dataset Rasters for Delaware StreamStats 2020
This dataset was produced in by the Delaware Geological survey in cooperation with the US Geological Survey and Delaware Department of Transportation for the purpose of delineating gage basins and performing hydrologic analysis in the Delaware 2020 StreamStats application. These datasets are raster representations of the fundamental dataset layers necessary for the functionality of...
Gage Height data from February through September for years 2016-19 at Gunnison River near Grand Junction, Colorado Gage Height data from February through September for years 2016-19 at Gunnison River near Grand Junction, Colorado
Gage height values from U.S. Geological Survey (USGS) streamflow-gaging station 09152500 for the specified period are presented in comma separated value (CSV) format. Values encompass the monthly date range from February 1st to September 30th for each year, 2016 through 2019.
GageStats Services GageStats Services
The Gage Statistic (GageStats) Services were developed to provide gage characteristics and streamflow statistics to support the StreamStats application via RESTful principles. The StreamStats application uses GageStats Services to display the gages and related gage pages. These services provide U.S. Geological Survey developed and published gage characteristics such as drainage area or...
Garnet Lu-Hf Ages and Isotope Data for the Stibnite, Idaho Area Garnet Lu-Hf Ages and Isotope Data for the Stibnite, Idaho Area
Garnet Lu-Hf ages of the schist of Moores Station Formation (112.8 plus or minus 6.9 Ma) and a cross-cutting garnetiferous felsic dike (99.3 plus or minus 2.0 Ma) are the main contributions of this dataset. Ages are determined with lower-intercept isochron plots from multiple garnet and whole rock fractions, and garnet model age plots show distribution of garnet fractions with excluded...