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5,371 results for “Flow”
On the Correspondence between Information Flow, Noninterference, and Symbolic Execution - Benchmark Set
<p>The benchmark set the paper ``On the Correspondence between Information Flow, Noninterference, and Symbolic Execution'' evaluates.</p>
Data and R script for: Barriers to chimpanzee gene flow at the south‐east edge of their distribution
<p><span>Populations on the edge of a species' distribution may represent an important source of adaptive diversity, yet these populations tend to be more fragmented and are more likely to be geographically isolated. Lack of genetic exchanges between such populations, due to barriers to animal movement, can not only compromise adaptive potential but also lead to the fixation of deleterious alleles. The south‐eastern edge of chimpanzee distribution is particularly fragmented, and conflicting hypotheses have been proposed about population connectivity and viability. To address this uncertainty, we generated both mitochondrial and MiSeq‐based microsatellite genotypes for 290 individuals ranging across western Tanzania. While shared mitochondrial haplotypes confirmed historical gene flow, our microsatellite analyses revealed two distinct clusters, suggesting two populations currently isolated from one another. However, we found evidence of high levels of gene flow maintained within each of these clusters, one of which covers an 18,000 km</span><sup>2</sup><span> ecosystem. Landscape genetic analyses confirmed the presence of barriers to gene flow with rivers and bare habitats highly restricting chimpanzee movement. Our study demonstrates how advances in sequencing technologies, combined with the development of landscape genetics approaches, can resolve ambiguities in the genetic history of critical populations and better inform conservation efforts of endangered species.</span></p>
The common ground in landscape effects on gene flow in two newt species in an agroecosystem
<p><span>Maintaining habitat connectivity is crucial for maintaining genetic diversity and reducing the risk of inbreeding depression in numerous species. Human-modified habitats pose a threat to population persistence, particularly for amphibians that require both aquatic and terrestrial habitats and often exhibit low dispersal capacity. In this study, we investigated the genetic structure and variation of two sympatric newt species, <em>Triturus</em> <em>cristatus</em> and <em>Lissotriton</em> <em>vulgaris</em>, in an urbanized and agricultural landscape. Using a multiscale resistance modeling approach, we evaluated how landscape features affect gene flow in both species. Our results confirmed that the less abundant <em>T. cristatus</em> exhibited more genetically distinct demes than the more common <em>L. vulgaris</em>, which showed a more subtle structure. Additionally, levels of genetic variation were lower in <em>T. cristatus</em> than in <em>L</em>. <em>vulgaris</em>, but with a similar spatial distribution pattern across shared ponds. We found that the proportion of managed grassland in the study area played a major role in reducing the level of connectivity in both species. Furthermore, considering multiple spatial scales proved to be effective in improving the fit of the landscape resistance models, with the largest scale (900 m) providing the best fit. In <em>T</em>. <em>cristatus</em>, areas with low proportions of trees or high proportions of crop fields negatively affected genetic connectivity. Notably, resistance surfaces optimized for each species were highly correlated. The intensively managed grassland lacked the structural heterogeneity necessary for newts. Therefore, switching to a more traditional management approach in the landscape to increase spatial patchiness at the scale of dispersal would benefit both species.</span></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>
Dataset: Tool-Supported Architecture-Based Data Flow Analysis for Confidentiality
<p>Dataset for Paper "Tool-Supported Software Architecture-Based Data Flow Analysis for Confidentiality".</p>
A tightly coupled river-ocean model for simulating combined flood due to storm surge and river flow in coastal-urban areas
<p>Coastal flooding, resulting from storm surges or extreme river flows, causes significant causalities and damage to properties in low-lying areas. The simultaneous occurrence of river flows and storm surges, termed combined/compound events, exacerbates the flood risk compared to independent occurrences. Combined flood events are simulated with the help of hydraulic and hydrodynamic models using a loosely or tightly coupled approach. In the loosely coupled approach, a hydrodynamic model simulates storm surges first, and a hydraulic model then simulates inland flood due to river overflow considering surge as the boundary condition at the river mouth/estuary. Conversely, the tightly coupled approach involves simultaneous simulation of both river flow and storm surge by coding the mathematical representation of river and ocean flow dynamics in the same numerical model. This allows the interaction between river and ocean flows to be simulated anywhere in the combined river-ocean computational domain, making it highly relevant for simulating combined floods. However, existing models based on this approach encounter numerical instability, especially in inland regions where topography variation is steep and highly uneven. Also, such combined models are highly limited for large scale applications. Therefore, this research focuses on developing a tightly coupled 2D finite volume river-ocean model called IROMS-C2D. The developed model intends to address the limitations of the previous models and provide a stable solution framework for the simulation of combined flooding resulting from the interaction of storm surges and river flows in coastal urban areas. Further, it enhances our understanding of flood risks in coastal areas, particularly in urban settings, and facilitates the formulation of effective measures for flood control and adaptation of coastal infrastructure.</p>
A tightly coupled river-ocean model for simulating combined flood due to storm surge and river flow in coastal-urban areas
<p>Coastal flooding, resulting from storm surges or extreme river flows, causes significant causalities and damage to properties in low-lying areas. The simultaneous occurrence of river flows and storm surges, termed combined/compound events, exacerbates the flood risk compared to independent occurrences. Combined flood events are simulated with the help of hydraulic and hydrodynamic models using a loosely or tightly coupled approach. In the loosely coupled approach, a hydrodynamic model simulates storm surges first, and a hydraulic model then simulates inland flood due to river overflow considering surge as the boundary condition at the river mouth/estuary. Conversely, the tightly coupled approach involves simultaneous simulation of both river flow and storm surge by coding the mathematical representation of river and ocean flow dynamics in the same numerical model. This allows the interaction between river and ocean flows to be simulated anywhere in the combined river-ocean computational domain, making it highly relevant for simulating combined floods. However, existing models based on this approach encounter numerical instability, especially in inland regions where topography variation is steep and highly uneven. Also, such combined models are highly limited for large scale applications. Therefore, this research focuses on developing a tightly coupled 2D finite volume river-ocean model called IROMS-C2D. The developed model intends to address the limitations of the previous models and provide a stable solution framework for the simulation of combined flooding resulting from the interaction of storm surges and river flows in coastal urban areas. Further, it enhances our understanding of flood risks in coastal areas, particularly in urban settings, and facilitates the formulation of effective measures for flood control and adaptation of coastal infrastructure.</p>
Deliverable 3.4: Report of modelling flow batteries with the solid boosters
<p>Data for reproducing the results presented in Deliverable 3.4 "Report of modelling flow batteries with the solid boosters" belonging to the CompBat EU project, DOI:<a href="https://doi.org/10.3030/875565">10.3030/875565</a></p>
Dataset from Nature Catalysis paper: Electrosynthesis of amino acids from NO and α-keto acids using two decoupled flow reactors
<p>Dataset from Nature Catalysis paper: Electrosynthesis of amino acids from NO and α-keto acids using two decoupled flow reactors</p>
Data for "Tracking physical delivery of electricity from generators to loads with power flow tracing"
<p>Data and analysis code for "Tracking physical delivery of electricity from generators to loads with power flow tracing".</p> <p>Data includes the following folders:</p> <ul> <li>validation: Ground truth generation data for 2020</li> <li>tracing: Power flow tracing results for one day</li> <li>secondary_analysis: Node-level power flow statistics</li> <li>networks: Solved networks, including Eastern U.S., Europe, Texas at 4 levels of clustering, and Europe with altered dispatch</li> <li>meta: between-node straight line distance for Eastern U.S. and Europe</li> <li>boundaries: shapefiles and per-node mappings for existing boundaries (Eastern U.S. and Europe) and example boundaries (Texas)</li> <li>analysis: physical delivery and deliverability metrics for all networks over all modeled days</li> </ul> <p>Code (`flow-delivery-analysis-main`) includes notebooks and helper functions for all visualizations and statistics in "Tracking physical delivery of electricity from generators to loads with power flow tracing". See the README for more information.</p>
Self-Potential dataset for mapping groundwater flow patterns in the Chaîne des Puys (Auvergne, France)
<table> <tbody> <tr> <td>This dataset was created from self potential data acquired over a period of time between 1989 and 2022. The data acquired on the Volvic watershed were first used in a DIREN report (Labazuy, 2000) and in the thesis of Joux (2002). This database has been largely completed in the framework of the CAPRICE project (Aumar, 2022) on the Come and Veyre watersheds.</td> </tr> </tbody> </table>
Toy Dataset for DeepCFD PINN for 2D incompressible NS flow
<p>Toy Dataset for DeepCFD PINN for 2D incompressible Navier Stokes flow</p>
PRISMA 2020 flow diagram of the literature mapping
<p>PRISMA 2020 flow diagram of the literature mapping. Part of the study "What do we mean by GenAI?"</p>
City-level virtual groundwater flows in northern China and the effect of agricultural relocation on alleviating groundwater scarcity
<p>This dataset included the nested multi-regional input output model (MRIO) used in our paper which including 13 cities in BTH region with other 28 provinces of China (30 sectors) of 2012 and the groundwater use inventory matched with MRIO. If you use this dataset, please kindly cite our papaer: Cai, B., Jiang, L., Liu, Y., Zhang, Z., Hu, X., & Zhang, W. (2023). City-level virtual groundwater flows in Northern China and the effect of agricultural relocation on alleviating groundwater scarcity. <em>Earth's Future</em>, 11, e2023EF003561. <a href="https://doi.org/10.1029/2023EF003561">https://doi.org/10.1029/2023EF003561</a>.</p>
Abundance, Biovolume, and Biomass of Synechococcus and Eukaryote Pico- and Nano- Plankton From Continuous Underway Flow Cytometry During NES-LTER Transect Cruises, Ongoing Since 2018
<p>"These data represent the abundance, biovolume, and biomass of prokaryotic and eukaryotic picoplankton and nanoplankton sampled continuously underway during Northeast U.S. Shelf Long-Term Ecological Research (NES-LTER) Transect cruises, ongoing since 2018. Samples were obtained with an Attune NxT Flow Cytometer sampling at approximately 2-min intervals from the underway science seawater. Cells were identified and enumerated from the flow cytometry data files based on their scattering, phycoerythrin (575 nm) and chlorophyll (680 nm) fluorescence signals." Time is in UTC. https://portal.edirepository.org/nis/metadataviewer?packageid=knb-lter-nes.17.1</p>
Supporting data for: Quantitative visualization of two-phase flow in a fractured porous medium, Water Resources Research
<p>This dataset includes experimental images and data processing scripts used to generate the results detailed in the paper titled: Quantitative visualization of two-phase flow in a fractured porous medium and submitted to Water Resources Research.</p>
Valar: Streamlining Alarm Ranking in Static Analysis with Value-Flow Assisted Active Learning
<p>static analysis alarm data</p>
Valar: Streamlining Alarm Ranking in Static Analysis with Value-Flow Assisted Active Learning
<p>static analysis alarm dataset</p>
Experimental study of the response of sheared E × B flow to varying ion-neutral collisions
<p>The experimental data is to support the plots within the paper "Experimental study of the response of sheared E × B flow to varying ion-neutral collisions"</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.