Reihaneh Zarrabi

University of Alabama

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ABSTRACT:

This dataset includes estimated river channel geometry attributes, specifically width and depth, under bankfull and mean-flow conditions across the CONtiguous United States (CONUS). The method utilized for providing these estimations is based on eXtreme Gradient Boosting Regression (XGBR).

The dataset can be linked to the National Hydrography Dataset Plus (NHDPlusV2.1) using the common NHD feature identifier, COMID, and to USGS gages using the identifier FLComID.

Data for NHDPlusV2.1 stream reaches are available for download in both TXT format (Bankfull_Meanflow_CONUS_Stream_Reaches.txt) and shapefile format (Bankfull_Meanflow_CONUS_Stream_Reaches.zip). Data for USGS gages are available in CSV format (Bankfull_Meanflow_CONUS_USGS_Gages.csv) and shapefile format (Bankfull_Meanflow_CONUS_USGS_Gages.zip).

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ABSTRACT:

This dataset includes estimated river channel geometry attributes, specifically width and depth, under bankfull and mean-flow conditions across the CONtiguous United States (CONUS). The method utilized for providing these estimations are based on eXtreme Gradient Boosting Regression (XGBR). This dataset can be linked to the National Hydrograohy Dataset Plus (NHDPlusV2.1) through Common identifier of the NHD feature, known as COMID.

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ABSTRACT:

This dataset includes estimated river channel geometry attributes, specifically width and depth, under bankfull and mean-flow conditions across the CONtiguous United States (CONUS). The method utilized for providing these estimations are based on eXtreme Gradient Boosting Regression (XGBR). This dataset can be linked to the National Hydrograohy Dataset Plus (NHDPlusV2.1) through Common identifier of the NHD feature, known as COMID.

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Resource Resource

ABSTRACT:

This dataset includes estimated river channel geometry attributes, specifically width and depth, under bankfull and mean-flow conditions across the CONtiguous United States (CONUS). The method utilized for providing these estimations is based on eXtreme Gradient Boosting Regression (XGBR).

The dataset can be linked to the National Hydrography Dataset Plus (NHDPlusV2.1) using the common NHD feature identifier, COMID, and to USGS gages using the identifier FLComID.

Data for NHDPlusV2.1 stream reaches are available for download in both TXT format (Bankfull_Meanflow_CONUS_Stream_Reaches.txt) and shapefile format (Bankfull_Meanflow_CONUS_Stream_Reaches.zip). Data for USGS gages are available in CSV format (Bankfull_Meanflow_CONUS_USGS_Gages.csv) and shapefile format (Bankfull_Meanflow_CONUS_USGS_Gages.zip).

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