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5,371 results for “Flow”
Fig. 3 in A new highly apomorphic species of Bujurquina (Teleostei: Cichlidae) from a reverse flowing river in the Peruvian Amazon, with a key to the species in the genus
Fig. 3. Detailed photographs of the spinous portion of the dorsal fin of species of Bujurquina Kullander, 1986 in the Southern group (see Figs 1–2). Note lack of patterning as opposed to various types of ornamentation in species of the Northern group. Note differences in the coloration of the dorsal fin lappets between some of the species, e.g., red-orange, vs white vs black.
Data for: "The effects of DEM resolution on the PyFLOWGO thermorheological lava flow model" paper
<p>PyFLOWGO results for a topographic sensitivity analysis. </p> <p>These are the 5m step size results presented in the publication, additional results upon request. </p>
Dataset accompanying the publication "Transport and retention of micro-Polystyrene in coarse riverbed sediments: Effects of flow velocity, particle and sediment sizes"
<p>The dataset in this repository is accompanying the publication "Transport and retention of micro-Polystyrene in coarse riverbed sediments: Effects of flow velocity, particle and sediment sizes" (in Microplastics and Nanoplastics, 2023, submitted 09.06.2023)</p> <p>The repository contains the raw image files of all sample filters which were scanned using the fluorescence imaging system ChemiDoc and used to analyse the infiltration behaviour of microplastic polystyrene in the manuscript. In addition, we provide the resulting data from the particle identification and geometric analysis which were derived from the raw data using ImageJ in tabular excel format. The data is structured in folders following the naming of the columns from the manuscript.</p>
Dataset for Evidence of Topographic Change Recorded by Lava Flows at Atete and Aruru Coronae on Venus
<p>GIS shapefiles, python script, and .csv files for Evidence of Topographic Change Recorded by Lava Flows at Atete and Aruru Coronae on Venus. Submitted to JGR: Planets </p>
Power of Bayesian and heuristic tests to detect cross-species introgression with reference to gene flow in the Tamias quadrivittatus group of North American chipmunks
<p>In the past two decades genomic data have been widely used to detect historical gene flow between species in a variety of plants and animals. The Tamias quadrivittatus group of North America chipmunks, which originated through a series of rapid speciation events, are known to undergo massive amounts of mitochondrial introgression. Yet in a recent analysis of targeted nuclear loci from the group, no evidence for cross-species introgression was detected, indicating widespread cytonuclear discordance. The study used the heuristic method HyDe to detect gene flow, which may suffer from low power. Here we use the Bayesian method implemented in the program bpp to reanalyze these data. We develop a Bayesian test of introgression, calculating the Bayes factor via the Savage-Dickey density ratio using the Markov chain Monte Carlo (MCMC) sample under the model of introgression. We take a stepwise approach to constructing an introgression model by adding introgression events onto a well-supported binary species tree. The analysis detected robust evidence for multiple ancient introgression events affecting the nuclear genome, with introgression probabilities reaching 63%. We estimate population parameters and highlight the fact that species divergence times may be seriously underestimated if ancient cross-species gene flow is ignored in the analysis. We examine the assumptions and performance of HyDe, and demonstrate that it lacks power if gene flow occurs between sister lineages or if the mode of gene flow does not match the assumed hybrid speciation model with symmetrical population sizes. Our analyses highlight the power of likelihood-based inference of cross-species gene flow using genomic sequence data.</p>
Visualization of adiabatic gas-liquid flow in a cross-corrugated plate heat exchanger channel: Part 1 - 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>
Discrete Flow Cytometry of Underway Samples from Gradients 5 (2023) Using a BD Influx Cell Sorter
<p>The dataset consists of BD Influx-based analysis of phytoplankton populations from discrete flow cytometry data collected underway during the Gradients 2023 (Gradients 5/TN412) oceanographic research cruise in the equatorial Pacific Ocean. The data consists of cell abundance, cell size (equivalent spherical diameter), carbon quota, and carbon biomass for picophytoplankton populations, namely the cyanobacteria Prochlorococcus and Synechococcus, and small eukaryotic phytoplankton (<5 µm ESD). Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: https://github.com/fribalet/FCSplankton</p>
Flow cytometry data for "Vitamin B12 conveys a protective advantage to phycosphere-associated bacteria at high temperatures"
<p>More details—including the analysis pipeline—are available in the GitHub repository: <a href="http://github.com/maggimars/bactB12">https://github.com/maggimars/bactB12</a>. </p> <p>Direct link to analysis pipeline interactive document: <a href="https://maggimars.github.io/bactB12/Flow_Cytometry_Analysis.html">https://maggimars.github.io/bactB12/Flow_Cytometry_Analysis.html</a></p> <p> </p> <p> </p>
Stereo PIV measurement of open channel flows in RA8 flume at the University of Sheffield
<p>Stereo PIV measurement of open channel flows in RA8 flume at the University of Sheffield</p> <p>Six flow conditions over a rough bed of spheres with 24mm diameter. PIV plane was at the centerline of the flow shining through the bed of spheres. Where the laser PIV plane shone up, the spheres were replaced with translucent hollow spheres to allow the light to go through. Gradient of the flow was 0.001.</p> <table> <tbody> <tr> <td>Water Depth</td> <td>Flow rate</td> <td>Velocity</td> <td>Reynolds’ number</td> <td>Manning’s number</td> <td>Froude number</td> <td>Weber number</td> <td>Relative Submergence</td> </tr> <tr> <td>(mm)</td> <td>(l/s)</td> <td>(m/s)</td> <td>(with depth)</td> </tr> <tr> <td>49</td> <td>1.87</td> <td>0.08</td> <td>3,740</td> <td>0.049</td> <td>0.11</td> <td>3.96</td> <td>2.04</td> </tr> <tr> <td>69</td> <td>5.05</td> <td>0.15</td> <td>10,100</td> <td>0.031</td> <td>0.18</td> <td>20.53</td> <td>2.88</td> </tr> <tr> <td>89</td> <td>7.46</td> <td>0.17</td> <td>14,920</td> <td>0.031</td> <td>0.18</td> <td>34.74</td> <td>3.71</td> </tr> <tr> <td>109</td> <td>11.21</td> <td>0.21</td> <td>22,420</td> <td>0.028</td> <td>0.2</td> <td>64.05</td> <td>4.54</td> </tr> <tr> <td>129</td> <td>15.4</td> <td>0.24</td> <td>30,800</td> <td>0.026</td> <td>0.21</td> <td>102.14</td> <td>5.38</td> </tr> <tr> <td>149</td> <td>20.7</td> <td>0.28</td> <td>41,400</td> <td>0.023</td> <td>0.23</td> <td>159.77</td> <td>6.21</td> </tr> </tbody> </table>
Discrete Flow Cytometry of Depth Profile Samples from the Gradients 4 (2021) Cruise Using a BD Influx Cell Sorter
<p>The dataset consists of BD Influx-based analysis of phytoplankton populations from discrete flow cytometry data collected during the Gradients 2021 (Gradients 4/TN397) oceanographic research cruise in the equatorial Pacific Ocean. The data consists of cell abundance, cell size (equivalent spherical diameter), carbon quota, and carbon biomass for heterotrophic bacteria, picophytoplankton populations, namely the cyanobacteria Prochlorococcus and Synechococcus, and small eukaryotic phytoplankton (<5 μm ESD). Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: https://github.com/fribalet/FCSplankton</p>
Datasets associated with Uruti Basin gas hydrate heat flow feature investigated as part of Roger Revelle voyage RR1508
<p>Processed seismic reflection data and associated files from Roger Revelle voyage RR1508: 16 May - 18 June 2015. The research voyage aimed to characterise the thermal regime of the gas hydrate systems on the southern Hikurangi margin east of New Zealand. Data were processed using the Globe Claritas processing software.</p> <p>All SEG-Y files have the following binary header word definitions, required for loading data:</p> <p>Start time: 2-byte integer: Bytes 105-106</p> <p>Trace Sample Count: 2-byte integer: Bytes 115-116</p> <p>Sample Interval (microseconds): 2-byte integer: Byte 117-118</p> <p>CDP Number: 4-byte integer: Bytes 5-8</p> <p>CDP X location: 4-byte integer: Bytes 197-200 (Note: Coordinates are in metres of UTM Zone 60S, WGS84 Datum)</p> <p>CDP Y location: 4-byte integer: Bytes 201-204 (Note: Coordinates are in metres of UTM Zone 60S, WGS84 Datum)</p>
Factors contributing to deep slab dip angles in reconstructions of past mantle flow
<p>This repository contains data files for the manuscript 'Factors contributing to deep slab dip angles in reconstructions of past mantle flow' submitted to Earth-Science Reviews by J. Weber and N. Flament</p> <p>The provided data are vote maps of global tomographic models and global temperature anomalies for case C10.</p> <p>The directory 'pswave_votemap' contains vote maps of 33 global P- and S-wave tomographic models at 32 selected depths between 0 km and 1040 km (depths were selected to match that available for global mantle flow models). The name convention is 'pswave_votemap_$depth.nc' and the file format is NetCDF CF Convention 1.7.</p> <p>The directory 'pwave_votemap' contains vote maps of 15 global P-wave tomographic models at 32 selected depths between 0 km and 1040 km (depths were selected to match that available for global mantle flow models). The name convention is 'pwave_votemap_$depth.nc' and the file format is NetCDF CF Convention 1.7.</p> <p>The directory 'swave_votemap' contains vote maps of 18 global S-wave tomographic models at 11 selected depths between 396 km and 1040 km (depths were selected to match that available for global mantle flow models). The name convention is 'swave_votemap_$depth.nc' and the file format is NetCDF CF Convention 1.7.</p> <p>The directory 'C10' contains the present-day temperature anomalies predicted for case C10 at 32 depths between 396 km and 1040 km. The name convention is 'C10_dimensional_temperature_anomaly_$depth.nc' or 'C10_non_dimensional_temperature_anomaly_$depth.nc' and the file format is NetCDF CF Convention 1.7. Dimensional temperature anomalies were obtained by multiplying non-dimensional temperature anomalies by 3100.</p> <p>These files were created using version 6 of the Generic Mapping Tools (GMT6; Wessel et al., 2019).</p> <p>Please contact nflament@uow.edu.au if you have questions about these files, or require further materials.</p>
Discrete Flow Cytometry of Underway Samples from TN414 Using a BD Influx Cell Sorter
<p>The dataset consists of BD Influx-based analysis of phytoplankton populations from discrete flow cytometry data collected underway during the transit from Fiji to New Zealand (TN414) in the South Pacific Ocean. The data consists of cell abundance, cell size (equivalent spherical diameter), carbon quota, and carbon biomass for picophytoplankton populations, namely the cyanobacteria Prochlorococcus and Synechococcus, and small eukaryotic phytoplankton (<5 μm ESD). Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: https://github.com/fribalet/FCSplankton</p>
Towards alternative solutions for flaring : life cycle assessment and carbon substance flow analysis of associated gas conversion into C3 chemicals
<p>Supplementary material and used data for the publication.</p>
Flume 3D Flow Velocities - Otemma Outdoor Flume Experiment (2021)
<p><strong>Flume 3D Flow Velocities - Otemma Outdoor Flume Experiment (2021)</strong></p> <p>We collected the 3D flow velocities with an Acoustic Doppler Velocimeter (ADV), the Nortek Vectrino (VCN9421), supported by a sliding aluminum structure that allowed us to relocate the ADV precisely within the flumes. In each flume, we sampled the 3D velocities of 45 points, and we did this for the near-bed layer at 1 cm from the flume bottom. The sampling points were divided in three parallel lines (15 points each), located at the center of the flume and sufficiently away from the flume walls to avoid wall hydraulic interference. Each sampling point was measured for 60 seconds at a sampling rate of 25 Hz.</p> <p> </p> <p>Data format and information:</p> <ul> <li>Flume A: mmdd_FA_nD or mmdd_FA_nE or mmdd_FA_nF (n is the number of sampling point, from 1 to 15)</li> <li>Flume B: mmdd_FB_nA or mmdd_FB_nB or mmdd_FB_nC (n is the number of sampling point, from 1 to 15)</li> <li>Data are in .dat format</li> <li>File headers are provided (Header_A and Header_B), and are meant to explain the structures of the .dat matrices</li> </ul>
iWanDroid: Demand-driven Information Flow Analysis of WebView in Android Hybrid Apps
<p>The repo contains the tool iWanDroid: Artifacts for the paper Demand-driven Information Flow Analysis of WebView in Android Hybrid Apps, accepted at ISSRE 2023.</p> <p>Android hybrid apps augment native apps with web and inter-language communication capabilities. These apps facilitate the integration of web components, including JavaScript, into native apps. Besides, they allow a two-way communication where JavaScript can utilize functionality shared by the native side (Java). However, due to operational differences between Java and JavaScript, the semantics of this communication are complex. Tracking information flows via this communication channel, i.e., between these heterogeneous platforms, becomes intricate.</p> <p>Multiple approaches have been proposed to analyze hybrid apps. However, most of them focus on specific classes of web-induced vulnerabilities or provide rudimentary tracking of specific information flows via this communication channel. This work proposes a demand-driven analysis to comprehensively track information flow violations from the native side to JavaScript and vice-versa. To this end, our framework selectively creates data flow summaries of the shared native-side code based on its usage in the corresponding JavaScript code. We demonstrate the efficacy of our approach by applying it to various benchmarks and large-scale apps.</p> <p> </p>
Upland Hillslope Groundwater Subsidy Affects Low-flow Storage-Discharge Relationship
<p>The package provides data and codes used in the following publication " Upland Hillslope Groundwater Subsidy Affects Low-flow Storage-Discharge Relationship". The publication is now under review in Water Resources Research Journal</p>
Dataset on PowerWorld Software Power Flow Calculations on an Underground Distribution Feeder for Inserting Renewable Distribution Generation from Biogas, Photovoltaic and Small Wind Sources
<p>This Dataset brings all the information, details and source files used for power flow studies of the USP-105 underground feeder of the distribution medium voltage network in the University of São Paulo campus, which has received several embedded DG sources, namely a biogas plant, photovoltaic units and a small wind turbine.</p> <p>The power flow simulations were realized using the PowerWorldTM Simulator, v.23</p> <p>The files types on the Dataset are: </p> <p>.pwb, .pwd and tsb: Powerworld software input files for the simulations</p> <p>.csv: where a semicolon symbol (;) is used as a column separator, while a dot symbol (.) represents the decimal separator. The first row of each CSV file corresponds to the header row to help identify data.</p>
Metadata with submitted Emission Control Science and Technology Journal manuscript Traceable uncertainty of exhaust flow meters embedded in portable emission measurement systems
<p>Metadata with submitted Emission Control Science and Technology Journal <em>Traceable uncertainty of exhaust flow meters embedded in portable emission measurement systems</em></p> <p>Link to article: https://link.springer.com/article/10.1007/s40825-025-00260-z</p>
Lithium recovery from brines by lithium membrane flow capacitive deionization (Li-MFCDI) – A proof of concept
<p>Dataset to H.M. Saif et al., <a href="https://www.sciencedirect.com/journal/journal-of-membrane-science-letters">Journal of Membrane Science Letters</a>, <a href="https://www.sciencedirect.com/journal/journal-of-membrane-science-letters/vol/3/issue/2">Volume 3, Issue 2</a>, November 2023, 100059</p> <p>The demand of lithium for electric vehicles and energy storage devices is increasing rapidly, thus new sources of<br> lithium (such as seawater and natural or industrial brines), as well as sustainable methods for its recovery, will<br> need to be explored/developed soon. This work presents a novel electromembrane process, called Lithium<br> Membrane Flow Capacitive Deionization (Li-MFCDI), which was tested to recover lithium from a synthetic<br> geothermal brine containing a much higher mass concentration of sodium than lithium (more than 650 times).<br> Specifically, a ceramic lithium-selective membrane was integrated into a flow capacitive deionization (FCDI)<br> cell, which was specifically designed, and 3D printed, to allow simultaneous charging and regeneration of the<br> employed flow electrodes. Despite the extremely high Na+/Li+ mass ratio in the feed stream, 99.98% of the<br> sodium was rejected and the process selectivity for lithium over other monovalent cations was 141 ± 5.85 for<br> Li+/Na+ and 46 ± 1.46 for Li+/K+. The Li-MFCDI process exhibited a stable behaviour over a 7-day test period,<br> and the estimated energy consumption was 16.70 ± 1.63 kWh/kg of Li+ recovered in the draw solution. These<br> results demonstrate promising potential of the Li-MFCDI for the sustainable lithium recovery from saline streams.</p>
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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
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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.