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170 results for “flume”
Coweeta site, station Watershed 18 flume, study of mean daily streamflow in units of litersPerSecond on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Coweeta (CWT) contains mean daily streamflow measurements in litersPerSecond units and were aggregated to a yearly timescale.
Coweeta site, station Watershed 27 flume, study of mean daily streamflow in units of litersPerSecond on a monthly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Coweeta (CWT) contains mean daily streamflow measurements in litersPerSecond units and were aggregated to a monthly timescale.
Coweeta site, station Watershed 27 flume, study of mean daily streamflow in units of litersPerSecond on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Coweeta (CWT) contains mean daily streamflow measurements in litersPerSecond units and were aggregated to a yearly timescale.
Bonanza Creek site, station C3 Flume in the Caribou-Poker Creeks Research Watershed, study of mean daily streamflow in units of litersPerSecond on a monthly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Bonanza Creek (BNZ) contains mean daily streamflow measurements in litersPerSecond units and were aggregated to a monthly timescale.
Bonanza Creek site, station C3 Flume in the Caribou-Poker Creeks Research Watershed, study of mean daily streamflow in units of litersPerSecond on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Bonanza Creek (BNZ) contains mean daily streamflow measurements in litersPerSecond units and were aggregated to a yearly timescale.
Bartley Stream at Flume stream gauge measurements
As part of the Long Term Ecological Research (LTER) project in the McMurdo Dry Valleys of Antarctica, a systematic sampling program has been undertaken to monitor the glacial meltwater streams in that region. These tables contain data pertaining to continuous monitored water quality and quantity parameters measured with automatic recording devices on streams in this region. Specifically, this dataset describes the hydrology data for the Barltley Stream (Flume) for the seasons 1983-84 to 1984-85
Data for paper "Effects of inflow conditions on plunge points and vertical profiles of turbidity currents on sloping flume based on 3D numerical simulation"
<p>This set of xlsx files, metadata of model results and Matlab code accompanies the manuscript "Effects of inflow conditions on plunge points and vertical profiles of turbidity currents on sloping flume based on 3D numerical simulation" by Ruoyin Zhang, Baosheng Wu, and Bangwen Zhang. This is the first release of the data.</p>
CoUDlabs_TA_USFD_02_ANNULAR_Regueiro. Time series analysis of sewer temperatures in an annular flume to estimate sediment accumulation
<p>This dataset contains the results of the experimental campaign and how data were collected on the the <a href="https://co-udlabs.eu/">Co-UDlabs</a> Transnational Access project: <em>Temperature time series analysis for predicting sedimentation in sewer systems</em>, by Regueiro-Picallo et al. The Transnational Access project was funded under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101008626.</p> <p>The experiments were designed to further develop an innovative methodology for measuring sediment bed deposits in UDS based on temperature data analysis (<a href="https://doi.org/10.1039/D2EW00820C" target="_blank" rel="noopener">Regueiro-Picallo et al., 2023</a>; <a href="https://doi.org/10.1039/D3EW00825H" target="_blank" rel="noopener">Regueiro-Picallo et al., 2024</a>). Particularly, the aim of these experiments was to study the influence of the sewer hydrodynamics for estimating the sediment accumulation using temperature-based methods. Therefore, the main tasks of this project were the design of a temperature-control system for the ANNULAR flume to reproduce sewer temperature patterns, and the development of an experimental campaign including different flow, sediment depth and temperature pattern conditions. The purpose of these measurements is to prove the use of simplified systems to monitor sediment accumulation in sewer systems.</p> <p>The data are described so that others can use and reproduce.</p>
ISW encountered with rough shelf slope in experimental flume
<p>This dataset studies the breaking process of internal solitary waves on rough slopes by conducting laboratory internal wave flume experiments. High-resolution velocity and density field data were obtained by Particle Image Velocimetry (PIV) and Planer Laser-induced fluorescence (PLIF). The breaking parameters and turbulent structure are analyzed, and the laws of water mixing and energy dissipation induced by internal solitary wave breaking under different roughness conditions are summarized. ‘SM’, ‘HM’, ‘CY’, ‘TR’, ‘CS’ stands for different rough bottom cases shown in Excel. The number '8' represents 8cm of collapse height.</p>
FLUME Catheter Comfort Study
ClinicalTrials.gov study NCT05785858. IPD Sharing: NO. Countries: 1. Publications: 2.
Experimental flume data on larval Murray cod entrainment across screen slot widths, velocities, and proximity
Open the record for dataset details and reuse information.
Effects of Relative Density in Progressive Sliding of Tailing Deposits: An Insight from Flume Tests
<p>Ruptures of tailing deposits can exhibit flow-like behavior and cause major disasters. An extensive mass of tailings can be transported over large distances at high velocity and flood downstream villages, resulting in the loss of lives and huge property losses. We present a series of flume tests to observe the process of tailing slope failure when subjected to a water flow. Progressive flow slides were observed in a range of tailing deposits with varying relative densities, in which hydraulic conductivity reduced with increasing relative density. The generation of pore pressure caused rupture for very loose and loose deposits, and is evident in acoustic emission signals. The water inflow into dense slopes is slower due lower hydraulic conductivity, resulting in successive sliding starting at the toe and progressing within the soil mass. A relative density of 0.35 is a transitional density from a sudden overall failure to a progressive failure.Ruptures of tailing deposits can exhibit flow-like behavior and cause major disasters. An extensive mass of tailings can be transported over large distances at high velocity and flood downstream villages, resulting in the loss of lives and huge property losses. We present a series of flume tests to observe the process of tailing slope failure when subjected to a water flow. Progressive flow slides were observed in a range of tailing deposits with varying relative densities, in which hydraulic conductivity reduced with increasing relative density. The generation of pore pressure caused rupture for very loose and loose deposits, and is evident in acoustic emission signals. The water inflow into dense slopes is slower due lower hydraulic conductivity, resulting in successive sliding starting at the toe and progressing within the soil mass. A relative density of 0.35 is a transitional density from a sudden overall failure to a progressive failure.</p>
Dataset: Water-flume model geometries of a tall-building cluster in Beijing
<p>This dataset contains CAD drawings (.stl files) of five geometry variations of a cluster of tall buildings in Beijing. The dimensions are in model scale (S1 = 1:2400; S2 = 1:4800) and have units of mm. The models were used in water-flume experiments at the University of Southampton in collaboration with the University of Reading (flow and concentration measurements).</p> <p>This repository contains:</p> <ol> <li>wf_geometry_readme.pdf : Meta information and description of data in 'wf_geometry.zip'</li> <li>wf_geometry.zip : model drawings (.stl files)</li> </ol>
Data from: Two-current choice flumes for testing avoidance and preference in aquatic animals
Aquatic chemical ecology is an important and growing field of research that involves understanding how organisms perceive and respond to chemical cues in their environment. Research assessing the preference or avoidance of a water source containing specific chemical cues has increased in popularity in recent years, and a variety of methods have been described in the scientific literature. Two-current choice flumes have seen the greatest increase in popularity, perhaps because of their potential to address the broadest range of research questions. Here, we review the literature on two-current choice flumes and show that there is a clear absence of standardized methodologies that make comparisons across studies difficult. Some of the main issues include turbulent flows that cause mixing of cues, inappropriate size of choice arenas for the animals, short experiments with stressed animals, failure to report how experiment and researcher biases were eliminated, general underreporting of methodological details, underutilization of collected data and inappropriate data analyses. In this review, we present best practice guidelines on how to build, test and use two-current choice flumes to measure the behavioural responses of aquatic animals to chemical cues, and provide blueprints for flume construction. The guidelines include steps that can be taken to avoid problems commonly encountered when using two-current choice flumes and analysing the resulting data. This review provides a set of standards that should be followed to ensure data quality, transparency and replicability in future studies in this field.
Flume data on flow resistance of flexible foliated woody vegetation
<p>This dataset contains flume data on flow resistance of flexible foliated woody vegetation. The data have been previously reported and analyzed by Västilä et al. (2013), Västilä & Järvelä (2014), and Box et al. (2021), respectively.</p> <p>The data were used in developing and validating the modeling of flexible woody vegetation in D-FLOW FM module of the Delft3D Flexible Mesh (Delft3D FM) Suite, as reported in Västilä et al. (submitted). Two leaf-aread-index based flow resistance formulas (Järvelä 2004, Eq. 16, JAR; and Västilä & Järvelä 2014, Eq. 17, VAS) were implemented into D-FLOW FM by Västilä et al. (submitted). </p> <p>This contribution consists of three datasets, in all of which the plants were approximately homogeneously distributed across the entire flume bed: 1) artificial nature-like shrubs with 2 cm tall understory grasses under low relative submergence (h/hd=0.9-3.1) conditions (Box et al., 2021), 2) Black Poplars at three plant densities under just submerged conditions (Västilä et al., 2013), and 3) four natural deciduous riparian species at different leaf-area-to-stem-area ratios (AL/AS) under just submerged conditions (Västilä & Järvelä, 2014). </p> <p>The measured data are compiled in the file "Vastila_etal_2024_Flume data on flow resistance of flexible foliated woody vegetation.xlsx". Dataset 1 is located in sheet "Box_etal_2021_data.xlsx", while Datasets 2 and 3 are combined in sheet "Västilä&Järvelä_2013+2014_data". The corresponding metadata descriptions are included in separate sheets. The sheet "VAS+JAR_parameters" includes tables reporting the recommended parameter values of the JAR (Table 1) and VAS (Table 2) formulas as well as the parameter values of both formulas as derived at low and high levels of AL/AS (Table 3) to analyze the uncertainty of the formulas related to the parameter dependency on AL/AS (see Västilä et al. submitted). The datasets include a specific model ID code for each case in column entitled "Model ID".</p> <p>References<br>- Box, W., Järvelä, J. & Västilä, K. 2021. Flow resistance of floodplain vegetation mixtures for modelling river flows. Journal of Hydrology 601: 126593. https://doi.org/10.1016/j.jhydrol.2021.126593</p> <p>- Järvelä, J. 2004. Determination of flow resistance caused by non-submerged woody vegetation. International Journal of River Basin Management 2(1): 61–70. https://doi.org/10.1080/15715124.2004.9635222</p> <p>- Västilä, K., Järvelä, J., & Aberle, J. 2013. Characteristic reference areas for estimating flow resistance of natural foliated vegetation. Journal of Hydrology 492: 49-60. DOI: http://dx.doi.org/10.1016/j.jhydrol.2013.04.015</p> <p>- Västilä, K. & Järvelä, J. 2014. Modeling flow resistance of woody vegetation using physically-based parameters for foliage and stem. Water Resources Research 50(1): 229-245. DOI: 10.1002/2013WR013819</p> <p>- Västilä, K., Berends, K.D., Järvelä, J., Penning, E.W.E. (submitted) Development of flow resistance modeling using state-of-the-art formulas for flexible woody vegetation in Delft3D FM. </p>
Data for high-clay content submarine slope failure flume experiments. Experiment 50% clay, static 3, part 1.
<p>These video and photographic data support the following manuscripts:</p><p>Silver, M.M.W., Dugan, B., 2020, The influence of clay content on submarine slope failure: insights from laboratory experiments and numerical models, Geological Society of London, Special Publications, 500, 301-309, <a href="https://doi.org/10.1144/SP500-2019-186">https://doi.org/10.1144/SP500-2019-186</a>. </p><p>Silver, M.M.W., Dugan, B., 2023, Cohesion, permeability, and slope failure dynamics: implications for failure morphology and tsunamigenesis from benchtop flume experiments, Marine Geology, 462, <a href="https://doi.org/10.1016/j.margeo.2023.107079">https://doi.org/10.1016/j.margeo.2023.107079</a>.</p><p>Log sheets are included for each experiment file.</p>
Data for high-clay content submarine slope failure flume experiments. Experiment 75% clay, static 4, part 2.
<p>These video and photographic data support the following manuscripts:</p><p>Silver, M.M.W., Dugan, B., 2020, The influence of clay content on submarine slope failure: insights from laboratory experiments and numerical models, Geological Society of London, Special Publications, 500, 301-309, <a href="https://doi.org/10.1144/SP500-2019-186">https://doi.org/10.1144/SP500-2019-186</a>. </p><p>Silver, M.M.W., Dugan, B., 2023, Cohesion, permeability, and slope failure dynamics: implications for failure morphology and tsunamigenesis from benchtop flume experiments, Marine Geology, 462, <a href="https://doi.org/10.1016/j.margeo.2023.107079">https://doi.org/10.1016/j.margeo.2023.107079</a>.</p><p>Log sheets are included for each experiment file.</p>
Data for high-clay content submarine slope failure flume experiments. Experiment 90% clay, static 2, part 1.
<p>These video and photographic data support the following manuscripts:</p><p>Silver, M.M.W., Dugan, B., 2020, The influence of clay content on submarine slope failure: insights from laboratory experiments and numerical models, Geological Society of London, Special Publications, 500, 301-309, <a href="https://doi.org/10.1144/SP500-2019-186">https://doi.org/10.1144/SP500-2019-186</a>. </p><p>Silver, M.M.W., Dugan, B., 2023, Cohesion, permeability, and slope failure dynamics: implications for failure morphology and tsunamigenesis from benchtop flume experiments, Marine Geology, 462, <a href="https://doi.org/10.1016/j.margeo.2023.107079">https://doi.org/10.1016/j.margeo.2023.107079</a>.</p><p>Log sheets are included for each experiment file.</p>
Data for high-clay content submarine slope failure flume experiments. Experiment 90% clay, static 2, part 2.
<p>These video and photographic data support the following manuscripts:</p><p>Silver, M.M.W., Dugan, B., 2020, The influence of clay content on submarine slope failure: insights from laboratory experiments and numerical models, Geological Society of London, Special Publications, 500, 301-309, <a href="https://doi.org/10.1144/SP500-2019-186">https://doi.org/10.1144/SP500-2019-186</a>. </p><p>Silver, M.M.W., Dugan, B., 2023, Cohesion, permeability, and slope failure dynamics: implications for failure morphology and tsunamigenesis from benchtop flume experiments, Marine Geology, 462, <a href="https://doi.org/10.1016/j.margeo.2023.107079">https://doi.org/10.1016/j.margeo.2023.107079</a>.</p><p>Log sheets are included for each experiment file.</p>
Data for high-clay content submarine slope failure flume experiments. Experiment 90% clay, static 3, part 2.
<p>These video and photographic data support the following manuscripts:</p><p>Silver, M.M.W., Dugan, B., 2020, The influence of clay content on submarine slope failure: insights from laboratory experiments and numerical models, Geological Society of London, Special Publications, 500, 301-309, <a href="https://doi.org/10.1144/SP500-2019-186">https://doi.org/10.1144/SP500-2019-186</a>. </p><p>Silver, M.M.W., Dugan, B., 2023, Cohesion, permeability, and slope failure dynamics: implications for failure morphology and tsunamigenesis from benchtop flume experiments, Marine Geology, 462, <a href="https://doi.org/10.1016/j.margeo.2023.107079">https://doi.org/10.1016/j.margeo.2023.107079</a>.</p><p>Log sheets are included for each experiment file.</p>
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