Folders: ROOT > ScienceBase Catalog > USGS Dakota Water Science Center > Data Documenting the U.S. Geological Survey Peak-Flow File Data Verification Project, 2008-16 ( Show direct descendants )
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ROOT _ScienceBase Catalog __USGS Dakota Water Science Center ___Data Documenting the U.S. Geological Survey Peak-Flow File Data Verification Project, 2008-16 Filters
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A comma separated values (csv) file that is a snapshot of the U.S. Geological Survey peak flow file on November 19, 2008. The file lists agency, station identification, water year, peak date, peak values, peak qualification codes, gage height values, gage height qualification codes and year of last peak for all stream gaging stations for which peak streamflow has been recorded.
Categories: Data;
Types: Citation;
Tags: Datasets,
Floods,
Stream discharge,
Streamflow data,
United States
A comma separated values (csv) file that is a snapshot of percent difference between November 19, 2008 and November 14, 2016 peak streamflow. The file lists station identification, water year, original (2008) peak Q, current (2016) peak Q and percent difference calculated per water year. The percent difference was calculated as the absolute value of [(current peak Q - original peak Q)/(original peak Q) x 100], where current peak Q is the 2016 peak and the original peak Q is the 2008 peak. When an original peak Q value is 0, the resultant percent difference calculation is undefined because of division by 0. In these cases, the percent difference field is populated with NA. Those entries are included in the data file...
Categories: Data;
Types: Citation;
Tags: Datasets,
Floods,
Stream discharge,
Streamflow data,
United States
A comma separated values (csv) file that is a snapshot of the U.S. Geological Survey peak flow file on November 14, 2016. The file lists agency, station identification, water year, peak date, peak values, peak qualification codes, gage height values, gage height qualification codes, and year of last peak for all stream gaging stations for which peak streamflow has been recorded.
Categories: Data;
Types: Citation;
Tags: Datasets,
Floods,
Stream discharge,
Streamflow data,
United States
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