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5,371 results for “Flow”
Flow diagram depicting an overview of the proposed layer optimisation methodology for Li-ion pouch cells
<p>Flow diagram depicting an overview of the proposed layer optimisation methodology for Li-ion pouch cells.</p>
Test and validation data for Robbie: A Batch Processing Work-flow for the Detection of Radio Transients and Variables
<p>Robbie: a general work-flow for the detection and characterization of radio variability and transient events in the image domain.<br> Robbie is designed to work in a batch processing paradigm with a modular design so that components can be swapped out or upgraded to adapt to different input data, whilst retaining a consistent and coherent methodological approach.<br> Robbie is based on commonly used and open software, and is encapsulated in a Makefile to aid portability and reproducibility.<br> In the description paper we describe the methodology behind Robbie, and demonstrate its use on real and simulated data.</p> <p>This repository contains the observed and simulated data that was used in the description paper.</p> <p> </p>
One-dimensional shallow flow solution data with uncertain topography
<p>Raw tabulated data generated by <a href="https://www.seamlesswave.com/">SEAMLESS-WAVE</a> stochastic models.</p>
Traffic flow formation in termites
<p>The material shared here is part of the research project on the mechanism of traffic flow formation. We use termites as a biological model and their natural foraging activity as a method. Here, we present some video fragments extracted from the recordings of the full foraging process of the termites <em>Constrictotermes </em><em>cyphergaster</em> at laboratory conditions. This research project is supported by the Brazilian Government through the Minas Gerais State Agency for Research (FAPEMIG), the Brazilian Council for Research (CNPq) and the Coordination for the Improvement of Higher Education Personnel (CAPES).</p> <p>Details of the videos: Each file recording is named with the ID of the nest used for each test. A test consisted of the passage of the termites from the box containing the entire nest to the foraging box through a bridge. The width and the form of the bridge were modified between tests. In the fragment, 2018-IX-07-RCB-N09 we tested a bridge with a constant width of 7.5 cm, while in the fragment 2018-IX-07-RCB-N18 we tested a "bottleneck" bridge with a hybrid width of 2.5 cm - 1.5 cm - 2.5cm.</p> <p>For aditional information, please contact us: Julieth Castiblanco (castiblancoq.j@gmail.com), Og DeSouza (og.souza@ufv.br).</p>
Large repeated measures experiments of acoustic Doppler current profiler (ADCP) streamflow measurements under steady flow conditions (Chauvan 2016 regatta)
<p>From 8 to 10 November 2016, 50 laboratories or teams (from 8 different countries) with 50 ADCPs, simultaneously conducted more than 600 ADCP discharge measurements in steady flow conditions (around 14 m<sup>3</sup>/s released by a dam), during three half-days, over 500 m along the Taurion River at Saint-Priest-de-Taurion, France. 26 cross-sections with various shapes and flow conditions, and more or less favourable conditions, were distributed along the river. A specific experiment procedure, which consisted of circulating every team over half of the cross-sections, was implemented in order to quantify the impact of site selection on the discharge measurement<br> uncertainty.</p> <p>The experimental design is presented in Despax et al (2017) available at <a href="https://irsteadoc.irstea.fr/cemoa/PUB00055007">https://irsteadoc.irstea.fr/cemoa/PUB00055007</a></p> <p>Despax, A., Hauet, A., Le Coz, J., Dramais, G., Blanquart, B., Besson, D., & Belleville, A. (2017). Inter-laboratory comparison of discharge measurements with Acoustic Doppler Current Profilers Chauvan field experiments. 8, 9 and 10th November 2016. (Technical report). Lyon, France: Groupe Doppler. (92 p.)</p> <p> </p>
Risk Measures for Illicit Financial Flows Dataset
<p>This dataset provides the Vulnerability, Intensity, and Exposure measures as described in the paper "Risk Measures for Illicit Financial Flows: A New International Dataset".</p> <p>The code to generate the dataset is available on <a href="https://github.com/walice/Risk-Analysis-IFF">https://github.com/walice/Risk-Analysis-IFF</a>.</p>
The dynamics of bi-directional exchange flows: implication for morphodynamic change within estuaries and sea straits
<p>Environmental and geophysical flows, including dense bottom gravity currents in the ocean and buoyancy-driven exchange flows in marginal seas,<br> are strongly controlled by topographic features.<br> These are known to exert significant influence on both internal mixing and secondary circulations generated by these flows.<br> In such cases, uni-directional or bi-directional exchange flows develop when horizontal density differences<br> and/or pressure gradients are present between adjacent water bodies connected by a submerged channel.<br> The flow dynamics of the dense lower layer depend primarily on the volumetric flux and channel cross-sectional shape,<br> while the stratified interfacial flow mixing characteristics, leading to fluid entrainment/detrainment,<br> are also dependent on the buoyancy flux and motion within the upper (lower density) water mass.<br> For submerged channels that are relatively wide compared to the internal Rossby radius of deformation,<br> Earth rotation effects introduce geostrophic adjustment of these internal fluid motions,<br> which can suppress turbulent mixing generated at the interface and result in the development of Ekman layers that induce secondary,<br> cross-channel circulations, even within straight channels.<br> Moreover, recent studies of dense, gravity currents generated in rotating and non-rotating systems,<br> respectively, indicated that the V-shaped channel topography had a strong influence on both flow distribution<br> and associated interfacial mixing characteristics along the channel.<br> However, such topographic controls on the interfacial mixing and secondary circulations generated by bi-directional exchange flows<br> are not yet fully understood and remain to be investigated thoroughly in the laboratory.<br> Also the effect of mobile bed for bi-directional exchange flows generated in deformable channels along with the physical interactions<br> between the lower dense water flow and the erodible bed sediments<br> will have a strong influence in (re-)shaping the overall channel bed topography (i.e. bed morphodynamics).<br> Consequently, the resulting temporal changes in cross-sectional channel bathymetry (i.e. through erosion and deposition processes)<br> would also be expected to have associated feedbacks on transverse asymmetries in the bi-directional exchange flow structure,<br> as well as on the internal flow stability.</p>
PIC data for 2019 JGR paper (An event study of simultaneous earthward and tailward bursty fast flows in the Earth's mid-tail)
<p>The PIC data and an IDL script to read the data.</p>
MLSBench: A Synthesizable Dataset of HLS Designs to Support ML Based Design Flows
<p>HLS dataset for training of ML models for post route prediction of parameters. "HLS Benchmarks.zip" are in C and C++; "SystemC Version.zip" are in SystemC.</p>
Movies and temperature and pressure measurements associated with the study "Experimental evidence for lava-like mud flows under Martian surface conditions"
<p>Movies and temperature and pressure data associated with the study "<strong>Experimental evidence for lava-like mud flows under Martian surface conditions</strong>".</p>
Dataset for "Divergent selection and primary gene flow shape incipient speciation of a riparian tree on Hawaii Island"
<p>HawaiiPopulation_Raw.bcf.gz</p> <p>- Unfiltered SNP + INDEL VCF file for Hawaii Island Metrosideros</p> <p> </p> <p>HawaiiPopulation_FILTERED_SNP.bcf.gz</p> <p>- Filtered SNP VCF for Hawaii Island Metrosideros</p> <p> </p> <p>Population_WithOutgroup_Raw.vcf.gz</p> <p>- Unfiltered SNP + INDEL VCF file used in analysis that grouped G<sub>H1</sub>, G<sub>H2</sub>, N subpopulation with the outgroup samples.</p> <p> </p> <p>Population_WithOutgroup_FILTERED_SNP.vcf.gz</p> <p>- Filtered SNP VCF file used in analysis that grouped G<sub>H1</sub>, G<sub>H2</sub>, N subpopulation with the outgroup samples.</p> <p> </p> <p>Population_WithOutgroup.geno.gz</p> <p>- Genotype file generated from the genomic_general from S. Martin and used as input for Dxy and Fst window analysis</p> <p> </p> <p>Popgene_stat*</p> <p>- 5, 10, and 50 kbp windows of calculating pi, Dxy, Fst, Omega, Hscan, and H12 statistics </p> <p> </p> <p>GPHOCS_INPUT.txt</p> <p>- Input data file for GPhoCS analysis</p> <p> </p> <p>GPHOCS_control_*</p> <p>- GPhoCS control file</p> <p> </p> <p>DADI_INPUT*</p> <p>- Input 2D-SFS file for dadi analysis</p>
Selected data from "Small-scale universality in the spectral structure of transitional pipe flows"
<p>Data from Figure 4 and Figure 6 of "Small-scale universality in the spectral structure of transitional pipe flows", Science Advances (2019). Included are spatial spectra normalized with the Kolmogorov scale and viscosity. The collapse of the normalized spectra is indicative of the small-scale universality predicted by Kolmogorov. The data are taken from turbulent and transitional pipe flows at different Re and different positions from the wall from both experiments and simulations (experiments are at the centerline only).</p>
BackFlow: Backward Context-sensitive Flow Reconstruction of Taint Analysis Results
<p>This archive contains the details of the experimental results reported in the VMCAI 2020 paper, and instruction on how to reproduce these results.</p>
Interferometry of Gas-Phase Flows during Selective Laser Melting
<p>Interferograms of gas-phase flows occurred at laser power of 50, 90, 130 and 170 W after spatial Fourier filtering recorded by high-speed camera.</p>
Dataset of "3D generative adversarial networks for turbulent flow estimation from wall measurements"
<p>Dataset of the article 'Three-dimensional generative adversarial networks for turbulent flow estimation from wall measurements' (https://doi.org/10.1017/jfm.2024.432). The codes processing data here are on https://github.com/erc-nextflow/3D-GAN.</p> <p>This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 949085, NEXTFLOW). Views and opinions expressed are, however, those of the authors only, and do not necessarily reflect those of the European Union or the ERC. Neither the European Union nor the granting authority can be held responsible for them. A.C.M. acknowledges financial support from the Spanish Ministry of Universities under the Formación de Profesorado Universitario (FPU) programme 2020. R.V. acknowledges financial support from ERC (grant agreement no. 2021-CoG-101043998, DEEPCONTROL).</p>
Supporting material for "Benford's law as debris flow detector in seismic signals"
<p>Supporting material list,</p> <p>0, Source code for Random_Forest_model;</p> <p>1, Random_Forest_model.pkl, trained machine learning model;</p> <p>2, FiguresSI.zip, 58 debris flow events with Benford's law features, and Exp. fitting curve;</p> <p>3, Table2DebrisFlowEventDetails.xlsx, details of 58 debris flow events and expentional fitting parameters.</p> <p>Note, you can check our GitHub repository<br>https://github.com/Nedasd/Benfords_law_as_mass_movements_detector.git</p> <p> </p>
Flow Cytometry Data from "Bacterial cell surface characterization by phage display coupled to high-throughput sequencing"
<p>This record contains the flow cytometry data from the manuscript "Bacterial cell surface characterization by phage display coupled to high-throughput sequencing."</p> <p>Files are in <a href="https://docs.flowjo.com/flowjo/advanced-features/fj-acs/">Archive Cytometry Standard (ACS) format</a> . Each <code>.acs</code> file is a zip container which holds both the raw <code>.fcs</code> files and a FlowJo workspace (<code>.wsp</code>) file.</p> <p>Keywords in the workspace file identify which primary antibody (<code>primary</code>) was used and which cell genotype (<code>strain</code>) was used for each sample. The workspace also encodes the gating scheme and compensation matrix applied to each sample. Plots in the manuscript are exported from Layout views in the workspace.</p>
Historical 'as-if' cash flow diagrams according to all strategies developed
<p><span>In the context of the project activities of WP6, entitled "Strategies to increase the financial resilience of coastal cities", this document briefly describes the contents of D6.6 "Historical ‘as-if’ cash flow diagrams according to all strategies developed". The data provided, in conjunction with the DSS tool (D6.7), serves decision makers in Massa, Vilanova i la Geltrú, and Oarsoaldea CCLLs by helping them evaluate and choose among different financial resilience strategies to manage flood related financial risk.</span></p>
Dataset of "Some effects of limited wall-sensor availability on flow estimation with 3D-GANs"
<p>Dataset of the article 'Some effects of limited wall-sensor availability on flow estimation with 3D-GANs' (https://doi.org/10.1007/s00162-024-00718-w). The codes processing data here are on https://github.com/erc-nextflow/3D-GAN.</p> <p>This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 949085, NEXTFLOW). Views and opinions expressed are, however, those of the authors only, and do not necessarily reflect those of the European Union or the ERC. Neither the European Union nor the granting authority can be held responsible for them. A.C.M. acknowledges financial support from the Spanish Ministry of Universities under the Formación de Profesorado Universitario (FPU) programme 2020.</p>
Growing Malaria Parasites at a Critical Shaking Speed Mimicking Physiological Flow Reveals New Phenotypes for Invasion Ligands, Supporting Information
<p>This repository contains the dataset and analysis scripts associated with the upcoming publication titled <em>Growing malaria parasites at a critical shaking speed that mimics physiological flow conditions reveals new phenotypes for EBA and RH invasion ligands.</em> The repository includes a comprehensive collection of data and scripts used to generate all the plots, along with videos showing how the red blood cells behave in culture media for different shaking speeds in the different shaking vessels. The growth assay data used for this experiment was collected in four batches, labelled GA1 to 4:</p> <ul> <li><strong>GA1</strong>: compares the different knockout lines. </li> <li><strong>GA2</strong>: compares different hematocrits. </li> <li><strong>GA3</strong>: compares different growth vessels.</li> <li><strong>GA4</strong>: contains more repeats of lines from GA1.</li> </ul> <p>This repository offers all necessary resources to replicate the findings, including the complete codebase, raw data, and graphical representations of results. Researchers are encouraged to explore the included notebooks and datasets for detailed insights. Movies S1 to S4 show a top and side view of each type of plate/plask used on an orbital shaker as the shaking speed is increased.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.