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52 results for “channel flow”
Flow augmentation from off-channel storage improves salmonid habitat and survival
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Bank erosion process and distribution along channel caused by multiple debris flow surges
<p>This dataset contains point cloud data and Excel table data, which together describe the bank retreat process of 5 types of bank soils caused by multiple debris flow surges</p>
The influence of flow electrode channel design on flow capacitive deionization performance: Experimental and CFD modelling insights
<p>Flow capacitive deionization (FCDI) is an emerging desalination technology at which flow electrodes (shearthinning<br>flowable carbon slurries) are used to remove ions from saline water. The geometry of flow electrode<br>channels, which provide the path and ensure the distribution and mixing of the flow electrodes, is one of the most<br>important aspects to be optimized. This work presents experimental and computational fluid dynamics (CFD)<br>modelling analysis of the influence of the geometry of flow electrode channels on FCDI performance. Flow<br>electrode gaskets (with open, serpentine (short) horizontal and serpentine (long) vertical channels) were 3D<br>printed using a polyethylene terephthalate glycol (PET-G) filament. The FCDI cell with a vertical serpentine flow<br>electrode channel exhibited the poorest performance due to channel blockage by carbon particles, while the best<br>results were achieved with a horizontal serpentine flow electrode channel. CFD simulations aided in understanding<br>this behaviour by showing that the channel geometry strongly affects the local shear rate, and thus the<br>local viscosity of flow electrodes. Thus, it is recommended to design channels that induce flow disturbance<br>aiming for increasing the shear rate and hence reducing flow electrode viscosity, therefore promoting their<br>flowability and reducing clogging chances.</p>
Stress-induced flow channelization in three-dimensional fractured layered rocks
<p>The manuscript data for the stress-induced flow channelization in three-dimensional fractured layered rocks.</p>
Deposition characteristics of debris flows in wooded channel
<p>This dataset mainly contains point cloud data of debris flow deposition landforms in wooded channel and data reflecting the physical and movement characteristics of debris flows. These data were obtained through physical model experiments.</p>
Cumulative arrival time distribution data for "Upscaling transport in heterogeneous media featuring local-scale dispersion: flow channeling, macro-retardation and parameter prediction"
<div> <div>This archive contains arrival time CDF data for a variety of transport simulations in heterogeneous Darcy flow fields, alongside metadata describing the flow fields. The flow fields were spatially periodic, intersected by uniformly-spaced imaginary planes. Arrival times represent length of time from particle departure from one plane until arrival at the next.</div> <div> </div> <div>Consult the README.md file at the top level of the archive for more information. The file format used to store the CDF data is documented in the Python script at the top level of the archive.</div> </div>
Flow Visualization of Narrow Rectangular Channel for Annular Flow, Rolling-Wispy Flow, and Wispy Flow.
<p>The three videos showcase three different flow regimes in Narrow Rectangular Channels. A new flow regime called rolling-wispy flow is identified and flow visualization is shown in the file named Rolling_Wispy_Flow.avi. The other flow regimes are provided to contrast the three different flow regimes. It is evident from the videos that rolling-wispy flow shows characteristics of wispy flow during the rolling wave (material wave) in the liquid film at wall, hence the name.</p> <p>P.S.: The video files can be opened in VLC.</p>
Head-on quenching of turbulent premixed NH3/H2/air flames in the channel flow with friction Reynolds number 300
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Unstable gas flow in a flat channel under the influence of a transverse force field: self-oscillations of the jet
<p>For a description of the task, see the original paper.</p> <div> <div> <div> <div>For each video, there are the meaning of force (F), Section and Subsection of the article where this video is mentioned, as well as the number of Figure from the article corresponding to this calculation. The Mach number is 0.29 for all the calculations.</div> </div> </div> </div> <p>(1) "Video-1.avi": </p> <p>F = 2.5, </p> <p>Section "Main modeling results"</p> <p>Subsection "Weak force field"</p> <p>Figure 2</p> <p> </p> <p>(2) "Video-2.avi": </p> <p>F = 4, </p> <p>Section "Main modeling results"</p> <p>Subsection "Strong force field"</p> <p>Figure 3</p> <p> </p> <p>(3) "Video-3.avi": </p> <p>F = 3, </p> <p>Section "Main modeling results"</p> <p>Subsection "Average force field"</p> <p>Figure 4</p> <p> </p> <p>(4) "Video-4.avi": </p> <p>F = 7 (continuous force field, see Figure 5), </p> <p>Section "Main modeling results"</p> <p>Subsection "Continuous force field"</p> <p>Figure 6</p>
Dataset of Flow Velocity Prediction in Vegetated Alluvial Channels Comparing Empirical and State-of-the-art Hybrid Machine Learning Models
<p>We compiled 447 datasets from different sources and lab- and field-based measurements. These datasets included Einstein and Banks (1950), Fenzl (1962), Kouwen et al. (1969), Ree and Crow (1977), Murota (1984), Tsujimoto and Kitamura (1990), Tsujimoto (1991), Tsujimoto (1993), Shimizu (1994), Dunn et al. (1996), Ikeda and Kanazawa (1996), Meijer (1998), Jarvela (2002), Rowinski and Kubrak (2002), Stone and Shen (2002), Poggi et al. (2004), Carollo et al. (2005), and Murphy et al. (2007).</p>
Visualization of adiabatic gas-liquid flow in a cross-corrugated plate heat exchanger channel: Part 3 - Original photographs, uniform two-phase distribution
<p>These measurement data are obtained and analyzed as part of a research project on adiabatic gas-liquid flow in a cross-corrugated plate heat exchanger channel. (See list of publications below). <br> The following Creative Commons license applies to the research data (images and measurement values) uploaded to the online repositories:<br> CC-BY 4.0<br> Author: Susanne Buscher</p> <p>The measurement data is published in 2 data sets: </p> <p>Data set I: Original image data (4 parts): <br> - uniform gas injection, part 1: https://doi.org/10.5281/zenodo.7985771; <br> - uniform gas injection, part 2: https://doi.org/10.5281/zenodo.7986374; <br> - uniform gas injection, part 3: https://doi.org/10.5281/zenodo.7986384; <br> - non-uniform gas injection (part 4): https://doi.org/10.5281/zenodo.8067163<br> This data set contains the original photographs of the two-phase flow in the cross-corrugated channel obtained with a high-resolution camera. In addition, the corresponding experimental parameters and flow patterns (for part 1-3 only) are included in the CSV files.<br> For uniform and non-uniform gas injection, respectively, the images were stored in sequentially numbered folders. The numbers of the folders correspond to the numbers of the measurement points listed in the attached CSV files with the associated experimental parameters.<br> The image folders are grouped in ZIP archives. Each ZIP archive contains the single-phase reference images which can be used for the two-phase images to conduct background subtraction, because the lighting conditions are equal for all images in one ZIP archive. </p> <p>Data set II: Measurement values and processed image data: <br> - https://doi.org/10.14279/depositonce-17868; <br> This data set contains all measurement values and calculated results of all measurement points in the Excel and CSV files (e.g. pressure drop, volumetric flow rates, void fraction, measurement uncertainties).<br> In addition, the results of the image processing algorithm are included in the Excel and CSV files (e.g. mean bubble diameter, maximum bubble diameter, local film flow ratio, extent of the two-phase distribution across the channel width, measurement uncertainties).<br> The image folders contain the pre-processed images which were the input to the digital image analysis (i.e. the aligned and cropped image section of the channel without inlet, outlet, and peripheral regions and after subtraction of the image background), and the post-processed images visualizing the output of the digital image analysis for this image (i.e. detected objects are inserted as colored regions in the image section; the meaning of colors was explained in the publications of 2022 and 2023). <br> In this dataset, the image folders are also subdivided into measurements with uniform and non-uniform gas injection and designated with the numbers of the measurement points, which are listed in the Excel and CSV files.</p> <p>The two datasets are the supplementary research data for the following publications: <br> - S. Buscher, 2023, Visualization, measurement, and modelling of adiabatic gas-liquid flow in a cross-corrugated plate heat exchanger channel, Doctoral thesis, Technische Universität Berlin, https://doi.org/10.14279/depositonce-17866. (supplemented by data sets I and II) <br> - S. Buscher, 2019, Visualization and modelling of flow pattern transitions in a cross-corrugated plate heat exchanger channel with uniform two-phase distribution, International Journal of Heat and Mass Transfer 144, 118643, https://doi.org/10.1016/j.ijheatmasstransfer.2019.118643. (supplemented by data set I, part 1-3)<br> - S. Buscher, 2021, Two-phase pressure drop and void fraction in a cross-corrugated plate heat exchanger channel: Impact of flow direction and gas-liquid distribution, Experimental Thermal and Fluid Science 126, 110380, https://doi.org/10.1016/j.expthermflusci.2021.110380. (supplemented by the measurement values in the Excel and CSV files of data set II)<br> - S. Buscher, 2022, Digital image analysis of gas-liquid flow in a cross-corrugated plate heat exchanger channel: A feature-based approach on various two-phase flow patterns, International Journal of Multiphase Flow 154, 104149, https://doi.org/10.1016/j.ijmultiphaseflow.2022.104149. (supplemented by data set II)</p>
Visualization of adiabatic gas-liquid flow in a cross-corrugated plate heat exchanger channel: Part 2 - Original photographs, uniform two-phase distribution
<p>These measurement data are obtained and analyzed as part of a research project on adiabatic gas-liquid flow in a cross-corrugated plate heat exchanger channel. (See list of publications below). <br> The following Creative Commons license applies to the research data (images and measurement values) uploaded to the online repositories:<br> CC-BY 4.0<br> Author: Susanne Buscher</p> <p>The measurement data is published in 2 data sets: </p> <p>Data set I: Original image data (4 parts): <br> - uniform gas injection, part 1: https://doi.org/10.5281/zenodo.7985771; <br> - uniform gas injection, part 2: https://doi.org/10.5281/zenodo.7986374; <br> - uniform gas injection, part 3: https://doi.org/10.5281/zenodo.7986384; <br> - non-uniform gas injection (part 4): https://doi.org/10.5281/zenodo.8067163<br> This data set contains the original photographs of the two-phase flow in the cross-corrugated channel obtained with a high-resolution camera. In addition, the corresponding experimental parameters and flow patterns (for part 1-3 only) are included in the CSV files.<br> For uniform and non-uniform gas injection, respectively, the images were stored in sequentially numbered folders. The numbers of the folders correspond to the numbers of the measurement points listed in the attached CSV files with the associated experimental parameters.<br> The image folders are grouped in ZIP archives. Each ZIP archive contains the single-phase reference images which can be used for the two-phase images to conduct background subtraction, because the lighting conditions are equal for all images in one ZIP archive. </p> <p>Data set II: Measurement values and processed image data: <br> - https://doi.org/10.14279/depositonce-17868; <br> This data set contains all measurement values and calculated results of all measurement points in the Excel and CSV files (e.g. pressure drop, volumetric flow rates, void fraction, measurement uncertainties).<br> In addition, the results of the image processing algorithm are included in the Excel and CSV files (e.g. mean bubble diameter, maximum bubble diameter, local film flow ratio, extent of the two-phase distribution across the channel width, measurement uncertainties).<br> The image folders contain the pre-processed images which were the input to the digital image analysis (i.e. the aligned and cropped image section of the channel without inlet, outlet, and peripheral regions and after subtraction of the image background), and the post-processed images visualizing the output of the digital image analysis for this image (i.e. detected objects are inserted as colored regions in the image section; the meaning of colors was explained in the publications of 2022 and 2023). <br> In this dataset, the image folders are also subdivided into measurements with uniform and non-uniform gas injection and designated with the numbers of the measurement points, which are listed in the Excel and CSV files.</p> <p>The two datasets are the supplementary research data for the following publications: <br> - S. Buscher, 2023, Visualization, measurement, and modelling of adiabatic gas-liquid flow in a cross-corrugated plate heat exchanger channel, Doctoral thesis, Technische Universität Berlin, https://doi.org/10.14279/depositonce-17866. (supplemented by data sets I and II) <br> - S. Buscher, 2019, Visualization and modelling of flow pattern transitions in a cross-corrugated plate heat exchanger channel with uniform two-phase distribution, International Journal of Heat and Mass Transfer 144, 118643, https://doi.org/10.1016/j.ijheatmasstransfer.2019.118643. (supplemented by data set I, part 1-3)<br> - S. Buscher, 2021, Two-phase pressure drop and void fraction in a cross-corrugated plate heat exchanger channel: Impact of flow direction and gas-liquid distribution, Experimental Thermal and Fluid Science 126, 110380, https://doi.org/10.1016/j.expthermflusci.2021.110380. (supplemented by the measurement values in the Excel and CSV files of data set II)<br> - S. Buscher, 2022, Digital image analysis of gas-liquid flow in a cross-corrugated plate heat exchanger channel: A feature-based approach on various two-phase flow patterns, International Journal of Multiphase Flow 154, 104149, https://doi.org/10.1016/j.ijmultiphaseflow.2022.104149. (supplemented by data set II)</p>
Effects of submerged flexible vegetation on scalar transport in an open-channel flow
<p>The data were used in the paper "Effects of submerged flexible vegetation on scalar transport in an open-channel flow" which was submitted to "Water Resources Research".In this paper, a 3D numerical model simulating scalar transfer in water flow with flexible submerged vegetation is established. The effects of vegetation on enhancing the scalar transfer and the selection of turbulent Schmidt number are investigated by numerical simulations.</p>
Data for the "Hydrodynamic response of channel flow confluence to the tributary floodplain topography"
<p>These are data for the manuscript named "Hydrodynamic response of channel flow confluence to the tributary floodplain topography“. If you have any qusetion about the data, please contact us.</p>
Calcium Channel Blockers Compared to Magnesium Sulfate in Fetal Cerebral Blood Flow
ClinicalTrials.gov study NCT02591004. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Choroidal Blood Flow Regulation During Isometric Exercise: Effects of Ca2+-Channel Blockade
ClinicalTrials.gov study NCT00280462. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Turbulence Structure and Momentum Exchange in Compound Channel Flows with Shore Ice covered on the Floodplains
<p>This data deposit contains all the datasets needed to draw 9 Figures (4, 8-10, 12-16) in the paper "Turbulence Structure and Momentum Exchange in Compound Channel Flows with Shore Ice covered on the Floodplains", which is now under consideration for potential publication in Water Resources Research. </p>
Data from: Force and torque on spherical particles in micro-channel flows using computational fluid dynamics
To delineate the influence of hemodynamic force on cell adhesion processes, model in vitro fluidic assays that mimic physiological conditions are commonly employed. Herein, we offer a framework for solution of the three-dimensional Navier–Stokes equations using computational fluid dynamics (CFD) to estimate the forces resulting from fluid flow near a plane acting on a sphere that is either stationary or in free flow, and we compare these results to a widely used theoretical model that assumes Stokes flow with a constant shear rate. We find that while the full three-dimensional solutions using a parabolic velocity profile in CFD simulations yield similar translational velocities to those predicted by the theoretical method, the CFD approach results in approximately 50% larger rotational velocities over the wall shear stress range of 0.1–5.0 dynes cm−2. This leads to an approximately 25% difference in force and torque calculations between the two methods. When compared with experimental measurements of translational and rotational velocities of microspheres or cells perfused in microfluidic channels, the CFD simulations yield significantly less error. We propose that CFD modelling can provide better estimations of hemodynamic force levels acting on perfused microspheres and cells in flow fields through microfluidic devices used for cell adhesion dynamics analysis.
Data for "Turbulence modulation in non-uniform open-channel clay suspension flows"
<p>This dataset details experimental results on the flow structure of clay-laden flows, for the first time isolating the effect of non-uniformity on spatial deceleration and acceleration in open-channel flows. </p>
Spectral Flux Decomposition in a Wind-Driven Channel Flow with Near-Inertial Waves
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.