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Found 518 dataset(s) matching "flow interval".
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Time series electromagnetic-induction log (TSEMIL) datasets are collected from PVC cased or uncased monitoring wells to evaluate changes in water conductivity over time. TSEMIL datasets consist...
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Time series electromagnetic induction-log (TSEMIL) datasets are collected from PVC cased or uncased monitoring wells to evaluate changes in water conductivity over time. TSEMIL datasets consist of...
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Time series electromagnetic induction-log (TSEMIL) datasets are collected from polyvinyl chloride (PVC) cased or uncased monitoring wells to evaluate changes in water conductivity over time....
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This data release includes time-series data of rock temperature, air temperature, wind speed, and humidity at the Chalk Cliffs debris-flow monitoring site in central Colorado (Latitude: 38.73330,...
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In 1991, the U.S. Geological Survey (USGS) began a study of more than 50 major river basins across the Nation as part of the National Water-Quality Assessment (NAWQA) project. One of the major...
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The effects of vertical flowmeter placement relative to the vertical fracture opening were examined using the colloidal borescope flowmeter (HB). For these measurements, the HB measurement...
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The EGS Collab project is developing ~10-20 m-scale field sites where fracture stimulation and flow models can be validated against controlled, small-scale, in-situ experiments. The first...
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Digital flood-inundation maps for a 6.7-mile reach of Joachim Creek within and near the City of De Soto, Missouri, were created by the U.S. Geological Survey (USGS) in cooperation with the City of...
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This digital-map data set consists of a grid of generalized skew coefficients of logarithms of annual maximum streamflow for Oklahoma streams less than or equal to 2,510 square miles in drainage...
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Regression equations, which may be used to estimate flood flows at select annual exceedance probabilities, were developed for ungaged streams in Pennsylvania. The equations were developed using...
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<p dir="ltr">This is the dataset that was used to make the figures for the publication entitled "Sediment transport and bed topography for realistic unsteady flow hydrographs of varying length in...
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This data release provides remotely sensed data, field measurements, and MATLAB code associated with an effort to produce image-derived velocity maps for a reach of the Sacramento River in...
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<p dir="ltr">This is the dataset that was used to make the figures for the publication entitled "The effects of three repeated unsteady flow hydrographs on sand bed topography and sediment...
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Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including...
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Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including...
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Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including...
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Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including...
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Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including...
