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This dataset contains an inventory of South Carolina U.S. Geological Survey (USGS) streamgages evaluated in 2017 as part of gage network gap assessment. Both continuous record and crest stage gages are included in this dataset. The data are grouped into three categories: rural streamgages with equal to or greater than 10 years of peak-flow data, rural streamgages with less than 10 years of peak-flow data, and urban streamgages.
This file (wymt_ffa_2018D_WATSTORE.txt) contains peak flow data for peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018. The file is in a text format called WATSTORE (National Water Data Storage and Retrieval System) available from NWISWeb (http://nwis.waterdata.usgs.gov/usa/nwis/peak).
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This dataset contains base-flow recession time constant (tau) contours that are interpreted from tau values calculated at streamgages in the Niobrara National Scenic River study area. The contours were created by interpolating the calculated tau values using geostatistical kriging methods. Kriging is a geostatistical method that can be used to determine optimal weights for measurements at sampled locations (streamgages) for the estimation of values at unsampled locations (ungaged sites). The kriged tau map could be used (1) as the basis for identifying areas with different hydrologic responsiveness, and (2) in the development of regional low-flow regression equations. The Geostatistical Analyst tools in ArcGIS Pro...
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This U.S. Geological Survey (USGS) data release contains the data used in the USGS Scientific Investigations Report 2018-5053 entitled "An exploratory Bayesian network for estimating the magnitudes and uncertainties of selected water-quality parameters at streamgage 03374100 White River at Hazleton, Indiana, from partially observed data." The four datasets, which contain only ASCII characters in a column-oriented format, are: (1) sel_qw_parm_full_time_series.csv: A comma-delimited file containing an irregular time series of 713 rows of discrete water-quality measurements that start on February 21, 1973 and end on September 14, 2016. (2) baye_network_initialize.cas: This tab-delimited file can be used to initialize...
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These data were compiled for an outreach article published in the Boatman's Quarterly Review, which is a magazine published by Grand Canyon River Guides Association. The objectives of our study was to describe the outcomes of the 2018-2020 Bug Flows experiment to a general audience. These data represent 10 years (2012-2021) of invertebrate data and 100 years (1921-2021) of flow data. These data were collected from the Colorado River in Glen Canyon National Recreation Area and Grand Canyon National Park. These data were collected by recreational river runners through a community science effort where we provided river runners with light trapping equipment to sample emergent aquatic insects each night of their expeditions....
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This data release contains a comma-delimited ascii file of two same-day, discrete discharge measurements made at sites along selected reaches of Waipāhoehoe Stream, Hawai'i on July 16, 2019. These discrete discharge measurements form what is commonly referred to as a “seepage run.” The intent of the seepage run is to quantify the spatial distribution of streamflow along the reach during fair-weather, low-flow conditions, generally characterized by negligible direct runoff within the reach. The measurements can be used to characterize the net seepage of water into (water gain) or out of (water loss) the stream channel between measurement sites provided that the measurements were made during stable, nonchanging flow...
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This data release contains a comma-delimited ascii file of nine discrete discharge measurements made at sites along selected reaches of Palauhulu Stream, Maui, Hawai'i on October 19, 2021 and November 22, 2021. These discrete discharge measurements form what is commonly referred to as a “seepage run.” The intent of the seepage run is to quantify the spatial distribution of streamflow along the reach during fair-weather, low-flow conditions, generally characterized by negligible direct runoff within the reach. The measurements can be used to characterize the net seepage of water into (water gain) or out of (water loss) the stream channel between measurement sites provided that the measurements were made during stable,...
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This Geographic Information System dataset contains shapefiles of 200-foot stream buffers for the 15 study watersheds in Gwinnett County, Georgia. The stream buffers are based on flowlines from the high resolution, 1:24,000-scale National Hydrography Dataset.
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The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages operated by the WY–MT WSC. This data release presents peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, that were based on methods described by Sando and McCarthy (2018).
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Ecological assessment data from the USGS National Water-Quality Assessment Program and the USEPA National River and Stream Assessment were reviewed and records were retained from sampling sites co-located with active USGS stream gages. A limited amount of ancillary data, including location, physical watershed features, and basic water chemistry data for each site were also retained.
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The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 66.7-, 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages operated by the WY–MT WSC. This data release presents peak-flow frequency analyses for selected streamgages on the Bighorn, Tongue, and Lower Yellowstone Rivers and tributaries and Home Creek, Montana, that were based on methods described by Sando and McCarthy (2018). Citation: Sando, S.K., and McCarthy, P.M.,...
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This child item contains the Mathworks Matlab mat-file outputs from the scripts described in the Ancillary Scripts child item. Each file contains the results for a particular field site. See the FGDC metadata Process Steps section for more information about opening these files. The mat-files included here have a standard set of output variables and include a variable named "zzVariableDescriptions" in each mat-file which describes the contents of the file. The following variables and descriptions are included in each mat-file (extracted from the "zzVariableDescriptions" variable): calibration_distance: The distance between calibration points in meters. calibration_points: Pixel coordinates of the calibration points....
Tags: Agua Fria River, Maricopa County, Arizona, USA, Androscoggin River, Androscoggin County, Maine, USA, Auburn, Androscoggin County, Maine, USA, Coachella Canal, Imperial County, California, USA, Cochiti Lake, Reservoir, Sandoval County, New Mexico, USA, All tags...
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This child item contains Mathworks MATLAB script files which reproduce the processing steps for each dataset. The following scripts are included: MATLAB scripts to process the images extracted from sUAS videos for each site. See the FGDC metadata Data Quality Section Process Step 1 for details on these scripts: ACR_PIVLab_Script.m AFR_PIVLab_Script.m CCC_PIVLab_Script.m CMC_PIVLab_Script.m GLR_PIVLab_Script.m RMC_PIVLab_Script.m SMC_PIVLab_Script.m WMD_PIVLab_Script.m MATLAB scripts to post process the data into the form supplied in this data release. See the FGDC metadata Data Quality Section Process Steps 2 and 3 for details on these scripts: CalibrateData.m CreatePlots.m Each Field Site is abbreviated in...
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In 2021, the U.S. Geological Survey (USGS), in cooperation with the National Geological and Geophysical Data Preservation Program, cataloged and scanned notes and calculations for indirect measurements taken during flood events in Montana. This product provides a publicly available catalog of the field notes, photos, survey information, and calculations for indirect measurements at selected sites. Indirect measurements are surveyed by the USGS after floods by identifying high water marks along rivers indicating the maximum stream stage. These high water marks are used to estimate the peak discharge through standardized methods. Estimates of peak streamflow from the indirect estimates were were added to the National...
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The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 66.7-, 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages operated by the WY–MT WSC. This data release presents peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, that were based on methods described by Sando and McCarthy (2018).
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This data release contains a comma-delimited ascii file of 15 discrete discharge measurements made at sites along selected reaches of He'eia Stream and 'Ioleka'a Stream, O'ahu, Hawai'i, on March 23, 2022. These discrete discharge measurements form what is commonly referred to as a "seepage run." The intent of the seepage run is to quantify the spatial distribution of streamflow along the reach during fair-weather, low-flow conditions, generally characterized by negligible direct runoff within the reach. The measurements can be used to characterize the net seepage of water into or out of the stream channel between measurement sites, provided that the measurements were made during stable, nonchanging flow conditions...
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This data release contains a comma-delimited ascii file of three same-day, discrete discharge measurements made at sites along selected reaches of Kaunakakai Gulch, Moloka'i, Hawai'i on September 10, 2021. These discrete discharge measurements form what is commonly referred to as a “seepage run.” The intent of the seepage run is to quantify the spatial distribution of streamflow along the reach during fair-weather, low-flow conditions, generally characterized by negligible direct runoff within the reach. The measurements can be used to characterize the net seepage of water into (water gain) or out of (water loss) the stream channel between measurement sites provided that the measurements were made during stable,...


map background search result map search result map Matched ecological assessment and stream gaging data for the CONUS Datasets to reproduce the exploratory Bayesian network developed in USGS SIR 2018-5053 for estimating water-quality parameters at streamgage 03374100 White River at Hazleton, Indiana, 1973-2016 Peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, Part 1 Data for the Evaluation of the U.S. Geological Survey Streamgage Network in South Carolina, 2017 WATSTORE Peak flow data for peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, Part 1 Base-flow recession time constant (tau) contours in the Niobrara National Scenic River in Nebraska, 2016-18 Peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, part 2 Peak-flow frequency analyses for selected streamgages on the Bighorn, Tongue, and Lower Yellowstone Rivers and tributaries and Home Creek, Montana, based on data through water year 2021 PeakFQ version 7.3 specifications file for peak-flow frequency analyses for selected streamgages on the Bighorn, Tongue, and Lower Yellowstone Rivers and tributaries and Home Creek, Montana, based on data through water year 2021 Cataloging and Digitizing USGS Indirect Measurements for Montana through Water Year 2020 Particle Image Velocimetry Results Ancillary Scripts WATSTORE Peak flow data for peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021 Invertebrate data (2012-2021) from the Colorado River in Grand Canyon and flow data (1921-2021) from the Lees Ferry gage (09380000) on the Colorado River near Page, AZ Seepage-run discharge measurements, July 16, 2019, Waipāhoehoe Stream, Hawai'i Seepage-run discharge measurements, October 19, 2021 and November 22, 2021, Palauhulu Stream, Maui, Hawai'i Seepage-run discharge measurements, September 10, 2021, Kaunakakai Gulch, Moloka'i, Hawai'i 03: 200-foot stream buffers shapefile for 15 watersheds in Gwinnett County, Georgia Seepage-run discharge measurements, March 23, 2022, He'eia Stream and 'Ioleka'a Stream, O'ahu, Hawai'i WATSTORE Peak-flow frequency analyses for selected streamgages in Carter, Custer, Fallon, Powder River, and Prairie Counties, Montana, based on data through water year 2022 Seepage-run discharge measurements, March 23, 2022, He'eia Stream and 'Ioleka'a Stream, O'ahu, Hawai'i 03: 200-foot stream buffers shapefile for 15 watersheds in Gwinnett County, Georgia Base-flow recession time constant (tau) contours in the Niobrara National Scenic River in Nebraska, 2016-18 WATSTORE Peak flow data for peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021 Invertebrate data (2012-2021) from the Colorado River in Grand Canyon and flow data (1921-2021) from the Lees Ferry gage (09380000) on the Colorado River near Page, AZ WATSTORE Peak-flow frequency analyses for selected streamgages in Carter, Custer, Fallon, Powder River, and Prairie Counties, Montana, based on data through water year 2022 Datasets to reproduce the exploratory Bayesian network developed in USGS SIR 2018-5053 for estimating water-quality parameters at streamgage 03374100 White River at Hazleton, Indiana, 1973-2016 Seepage-run discharge measurements, July 16, 2019, Waipāhoehoe Stream, Hawai'i Seepage-run discharge measurements, October 19, 2021 and November 22, 2021, Palauhulu Stream, Maui, Hawai'i Seepage-run discharge measurements, September 10, 2021, Kaunakakai Gulch, Moloka'i, Hawai'i Peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, part 2 Peak-flow frequency analyses for selected streamgages on the Bighorn, Tongue, and Lower Yellowstone Rivers and tributaries and Home Creek, Montana, based on data through water year 2021 PeakFQ version 7.3 specifications file for peak-flow frequency analyses for selected streamgages on the Bighorn, Tongue, and Lower Yellowstone Rivers and tributaries and Home Creek, Montana, based on data through water year 2021 Peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, Part 1 WATSTORE Peak flow data for peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, Part 1 Data for the Evaluation of the U.S. Geological Survey Streamgage Network in South Carolina, 2017 Cataloging and Digitizing USGS Indirect Measurements for Montana through Water Year 2020 Particle Image Velocimetry Results Ancillary Scripts Matched ecological assessment and stream gaging data for the CONUS