Streamflow wading measurements were made on March 26, 2014 within the Deer Creek watershed in St. Louis County, Missouri, following U.S. Geological Survey methods in Turnipseed and Sauer (2010). This effort occurred during a date and time void of rainfall or snowmelt runoff to properly evaluate a base-flow condition. Measuring locations were chosen based on inflow junctions (for example open channel tributaries or pipe outflows) such that main stem streamflow could be evaluated above and below the inflow. A total of 31 main stem and 25 inflow streamflow measurements were made over 9 miles along the main stem reach of Deer Creek starting at Magna Carta Drive. This data release includes a table of the streamflow measurements in comma separated values (.csv) format and a map of the main stem and inflow junction measurement locations (Figure 1) and graphical representation of the main stem streamflow correlated to distance downstream from Magna Carta Drive (Figure 2).

This dataset includes streamflow measurements collected at six sites in Pinnacles National Park during 2018. Data collection occurred at times when the streamflow did not include runoff from precipitation. The wading method was used to measure streamflow (Nolan, K.M. and Shields, R.R., 2000, Measurement of stream discharge by wading, U.S. Geological Survey Water-Resources Investigations Report 2000-4036, 106 p.). By this method, the stream channel cross section is divided into subsections. For each subsection, a tape measure is used to measure the distance from the left stream bank (as facing downstream), a wading rod is used to measure the channel depth, and a velocity meter attached to the wading rod is used to measure the water velocity. For shallow stream depths, such as those at the six measurement sites, velocity is typically measured at a position that is 60 percent of the total water depth. The volumetric streamflow rate for each subsection is calculated as the product of the width, depth, and velocity of the subsection. The width of each subsection extends from the depth measurement to points that are halfway to the preceding and following depth measurement points along the stream transect. The total flow rate is calculated as the sum of the flow rates over all subsections. Total flow rates at the six sites are small, ranging from 0.06 to 0.17 cubic feet per second. These rates are considered approximate because of the non-ideal stream channel conditions at some sites and the low stream velocities.

This dataset includes streamflow measurements collected at six sites in Pinnacles National Park during 2018. Data collection occurred at times when the streamflow did not include runoff from precipitation. The wading method was used to measure streamflow (Nolan, K.M. and Shields, R.R., 2000, Measurement of stream discharge by wading, U.S. Geological Survey Water-Resources Investigations Report 2000-4036, 106 p.). By this method, the stream channel cross section is divided into subsections. For each subsection, a tape measure is used to measure the distance from the left stream bank (as facing downstream), a wading rod is used to measure the channel depth, and a velocity meter attached to the wading rod is used to measure the water velocity. For shallow stream depths, such as those at the six measurement sites, velocity is typically measured at a position that is 60 percent of the total water depth. The volumetric streamflow rate for each subsection is calculated as the product of the width, depth, and velocity of the subsection. The width of each subsection extends from the depth measurement to points that are halfway to the preceding and following depth measurement points along the stream transect. The total flow rate is calculated as the sum of the flow rates over all subsections. Total flow rates at the six sites are small, ranging from 0.06 to 0.17 cubic feet per second. These rates are considered approximate because of the non-ideal stream channel conditions at some sites and the low stream velocities.

The datasets herein are the observed instantaneous values of streamflow for the titled U.S. Geological Survey streamgage with precipitation metadata added. Days where streamflow is directly affected by precipitation and the day afterwards is identified with a "B". Two days after a precipitation event is identified with a "C". If the streamflow was affected by snow or ice, the data is identified with a "D". Any data that is not precipitation influenced is identified with an "A". This metadata was applied on the basis of numerous rain gages in the vicinity of the streamgage and radar images obtained from the National Oceanic and Atmospheric Administration website https://www.ncdc.noaa.gov/data-access/radar-data/radar-map-tool (accessed various times throughout the project).

The datasets herein are the observed instantaneous values of streamflow for the titled U.S. Geological Survey streamgage with precipitation metadata added. Days where streamflow is directly affected by precipitation and the day afterwards is identified with a "B". Two days after a precipitation event is identified with a "C". If the streamflow was affected by snow or ice, the data is identified with a "D". Any data that is not precipitation influenced is identified with an "A". This metadata was applied on the basis of numerous rain gages in the vicinity of the streamgage and radar images obtained from the National Oceanic and Atmospheric Administration website https://www.ncdc.noaa.gov/data-access/radar-data/radar-map-tool (accessed various times throughout the project).

This data release includes datasets with annual streamflow statistics determined with the Indicators of Hydrologic Alteration software and R source code to create time-series plots with overlaid locally weighted scatterplot smoothing (lowess) lines.

This data release contains 29 streamflow statistics computed from modeled and observed daily streamflows from October 1, 1983, through September 30, 2016 at 1,114 streamgages in 19 study regions covering the conterminous United States. The streamflow statistics were computed at selected GAGES-II reference streamgages (Falcone, 2011) from daily streamflow observations (Russell and others, 2020), from daily streamflow time series computed using the National Hydrologic Model-Precipitation Runoff Modeling System (NHM-PRMS) model (“by headwater” and “by observation” calibrations with Muskingum routing; Hay and LaFontaine, 2020), from daily streamflow time series computed using five statistical time series models (Russell and others, 2020), and from three direct statistical prediction methods (Over and others, unpub. data, 2020). The data release comprises twelve .csv files. The streamflow statistics values are provided in eleven of these files, one each for the observed, the two NHM-PRMS calibrations, the five statistical time series models, and the three direct statistical prediction methods. The remaining file is a summary table, which provides period-of-record information for each streamgage. References cited: Falcone, J.A., 2011, GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow [digital spatial dataset] : U.S. Geological Survey Water Resources NSDI Node web page, https://water.usgs.gov/lookup/getspatial?gagesII_Sept2011. Hay, L.E., and LaFontaine, J.H., 2020, Application of the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS),1980-2016, Daymet Version 3 calibration: U.S. Geological Survey data release, https://doi.org/10.5066/P9PGZE0S Russell, A.M., Over, T.M., and Farmer, W.H., 2020, Cross-validation results for five statistical methods of daily streamflow estimation at 1,385 reference streamgages in the conterminous United States, Water Years 1981-2017: U.S. Geological Survey data release, https://doi.org/10.5066/P9XT4WSP

This data release contains 29 streamflow statistics computed from modeled and observed daily streamflows from October 1, 1983, through September 30, 2016 at 1,114 streamgages in 19 study regions covering the conterminous United States. The streamflow statistics were computed at selected GAGES-II reference streamgages (Falcone, 2011) from daily streamflow observations (Russell and others, 2020), from daily streamflow time series computed using the National Hydrologic Model-Precipitation Runoff Modeling System (NHM-PRMS) model (“by headwater” and “by observation” calibrations with Muskingum routing; Hay and LaFontaine, 2020), from daily streamflow time series computed using five statistical time series models (Russell and others, 2020), and from three direct statistical prediction methods (Over and others, unpub. data, 2020). The data release comprises twelve .csv files. The streamflow statistics values are provided in eleven of these files, one each for the observed, the two NHM-PRMS calibrations, the five statistical time series models, and the three direct statistical prediction methods. The remaining file is a summary table, which provides period-of-record information for each streamgage. References cited: Falcone, J.A., 2011, GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow [digital spatial dataset] : U.S. Geological Survey Water Resources NSDI Node web page, https://water.usgs.gov/lookup/getspatial?gagesII_Sept2011. Hay, L.E., and LaFontaine, J.H., 2020, Application of the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS),1980-2016, Daymet Version 3 calibration: U.S. Geological Survey data release, https://doi.org/10.5066/P9PGZE0S Russell, A.M., Over, T.M., and Farmer, W.H., 2020, Cross-validation results for five statistical methods of daily streamflow estimation at 1,385 reference streamgages in the conterminous United States, Water Years 1981-2017: U.S. Geological Survey data release, https://doi.org/10.5066/P9XT4WSP

In 2016, non-interpretive streamflow statistics were compiled for streamgages located throughout the Nation and stored in the StreamStatsDB database for use with StreamStats and other applications. Two previously published USGS computer programs that were designed to help calculate streamflow statistics were updated to better support StreamStats as part of this effort. These programs are named “GNWISQ” (Get National Water Information System Streamflow (Q) files) and “QSTATS” (Streamflow (Q) Statistics). Statistics for 20,438 streamgages that had 1 or more complete years of record during water years 1901 through 2015 were calculated from daily mean streamflow data; 19,415 of these streamgages were within the conterminous United States. About 89 percent of the 20,438 streamgages had 3 or more years of record, and 65 percent had 10 or more years of record. Drainage areas of the 20,438 streamgages ranged from 0.01 to 1,144,500 square miles. The magnitude of annual average streamflow yields (streamflow per square mile) for these streamgages varied by almost six orders of magnitude, from 0.000029 to 34 cubic feet per second per square mile. About 64 percent of these streamgages did not have any zero-flow days during their available period of record. The 18,122 streamgages with 3 or more years of record were included in the StreamStatsDB compilation so they would be available via the StreamStats interface for user-selected streamgages.

In 2016, non-interpretive streamflow statistics were compiled for streamgages located throughout the Nation and stored in the StreamStatsDB database for use with StreamStats and other applications. Two previously published USGS computer programs that were designed to help calculate streamflow statistics were updated to better support StreamStats as part of this effort. These programs are named “GNWISQ” (Get National Water Information System Streamflow (Q) files) and “QSTATS” (Streamflow (Q) Statistics). Statistics for 20,438 streamgages that had 1 or more complete years of record during water years 1901 through 2015 were calculated from daily mean streamflow data; 19,415 of these streamgages were within the conterminous United States. About 89 percent of the 20,438 streamgages had 3 or more years of record, and 65 percent had 10 or more years of record. Drainage areas of the 20,438 streamgages ranged from 0.01 to 1,144,500 square miles. The magnitude of annual average streamflow yields (streamflow per square mile) for these streamgages varied by almost six orders of magnitude, from 0.000029 to 34 cubic feet per second per square mile. About 64 percent of these streamgages did not have any zero-flow days during their available period of record. The 18,122 streamgages with 3 or more years of record were included in the StreamStatsDB compilation so they would be available via the StreamStats interface for user-selected streamgages.