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Dataset results
19 results for “surface tension”
The effect of solvent on convectively-driven silica particle assembly: Decoupling surface tension,viscosity, and evaporation rate
<p>Dataset associated with 'The effect of solvent on convectively-driven silica particle assembly: Decoupling surface tension, viscosity, and evaporation rate’.</p> <p>The data is based on the figures below, published in the linked article (see the doi).</p> <p><strong>- Figure 1. S</strong>egmented and raw images of dip-coated films. <strong>(images, .TIF)</strong></p> <p><strong>- Figure 2. </strong>Calculated surface coverages <strong>(data, .csv)</strong></p> <p><strong>- Figure 3. </strong>Rheology on SiO<sub>2</sub>-iPrOH-Glycerol mixtures & SEM micrographs of particle films. <strong>(data, .csv; images, .TIF)</strong></p> <p><strong>- Figure 4. </strong>SEM micrographs of silica helices films. <strong>(images, .TIF)</strong></p> <p><strong>- Figure S1. </strong>Measured evaporated masses of each solvent as a function of time. <strong>(data, .csv)</strong></p> <p><strong>- Figure S2. </strong>TEM micrographs of SiO2 seeds and measured particle diameters. <strong>(data, .csv; images, .TIF)</strong></p> <p><strong>- Figure S3. </strong>TEM micrographs of SiO particles and measured particle diameters. <strong>(data, .csv; images, .TIF)</strong></p> <p><strong>- Figure S4. </strong>Calculated solvent fractions as a function of time. <strong>(data, .csv)</strong></p> <p><strong>- Figure S5.</strong> Rheology of i-PrOH-glycerol mixtures.<strong> (data, .csv)</strong></p>
Evolution of Surface Tension and Hansen Parameters of Homologous Series of Imidazolium-Based Ionic Liquids
<p>This is the raw data for the manuscript:</p> <p>Evolution of Surface Tension and Hansen Parameters of Homologous Series of Imidazolium-Based Ionic Liquids</p> <p> </p> <p>All data are sorted according to their appearance in the figures of the main manuscript. All data is stored as .xslx format, the content of the colums can be found in the headlines and is following the nomenclature of the manuscript.</p> <p>doi journal article: <a title="DOI URL" href="https://doi.org/10.1021/acs.langmuir.4c00094">https://doi.org/10.1021/acs.langmuir.4c00094</a></p>
Artificial viscosity model to mitigate numerical artefacts at fluid interfaces with surface tension (Supporting data)
<p>This data accompanies the paper "Artificial viscosity model to mitigate numerical artefacts at fluid interfaces with surface tension", published in Computers & Fluids.</p>
Experimental surface tensions of aqueous poplar and ragweed pollenkitts reported in the study "Cloud condensation nuclei activity of six pollenkitts and the influence of their surface activity" by Prisle et al. (2019)
<p>Surface tensions measured with a ramé-hart goniometer (Model 250) for aqueous solutions of varying concentrations comprising poplar and ragweed pollenkitts and their mixtures with ammonium sulfate</p>
Dataset for "Surface tension induced budding drives alveologenesis in mammary gland organoids"
<p>Live-cell imaging of organoids from primary human mammary epithelial cells, including responses to laser ablation experiments and data analysis scripts.</p> <p>Please see README file for details.</p>
Data and simulation model files for: Variable-stiffness morphing wheel inspired by the surface tension of a liquid drop
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Density, surface tension, kinematic viscosity, distillation curve, and initial boiling point data of diesel-n-butanol and diesel-ABE blends
<p>This dataset contains measurement data for density, surface tension, kinematic viscosity, distillation curve, and initial boiling point for n-butanol and ABE (acetone, n-butanol, and ethanol in a volume ratio of 3:6:1) blended with standard diesel fuel. Properties of blends were evaluated in terms of temperature and biofuel volume fraction. For a detailed description of the measurements and further information, please see the published paper in Fuel journal (<a href="https://doi.org/10.1016/j.fuel.2021.122909">https://doi.org/10.1016/j.fuel.2021.122909</a>).</p>
Data for publication "A unified surface tension model for multi-component salt, organic and surfactant solutions"
<p>This repository contains the data of the publication:</p> <p>Title: "A unified surface tension model for multi-component<br>salt, organic and surfactant solutions"<br>Authors: Judith Kleinheins, Claudia Marcolli, Cari Dutcher, Nadia Shardt<br>Date: 2024</p>
Data for publication "The surface tension and CCN activation of sea spray aerosol particles"
<p>This repository contains the data of the publication:</p> <p>Title: "The surface tension and CCN activation of sea spray aerosol<br>particles"<br>Authors: Judith Kleinheins, Nadia Shardt, Ulrike Lohmann, and Claudia Marcolli<br>Date: 2024</p> <p>Version v2: updated data (Scrit_results.json) after first round of paper review.</p>
Data for publication "Surface tension models for binary aqueous solutions: A review and intercomparison"
<p>This repository contains the data of the publication:</p> <p>Title: "Surface tension models for binary aqueous solutions: A review and intercomparison"<br> Authors: Judith Kleinheins, Nadia Shardt, Manuella el Haber, Corinne Ferronato, Barbara Nozière, Thomas Peter, and Claudia Marcolli<br> Date: 2023</p> <p>Abstract: The liquid–air surface tension of aqueous solutions is a fundamental quantity in multi-phase thermodynamics and fluid dynamics and thus relevant in many scientific and engineering fields. Various models have been proposed for its quantitative description. This Perspective gives an overview of the most popular models and their ability to reproduce experimental data. In addition, we propose a new model based on the logistic function which reproduces sigmoidal curve shapes (Sigmoid model) to<br> empirically fit experimental surface tension data. All models were tested on ten binary aqueous solutions of electrolytes and organic molecules. The surface tension of weakly surface active substances is well reproduced by all models. In contrast, only a few models successfully modelled the surface tension of aqueous solutions with strongly surface-active substances. For substances with a solubility limit, usually no experimental data is available for the surface tension of supersaturated solutions and the pure liquid solute. We discuss ways in which these can be estimated and emphasize the need for further research. The newly developed Sigmoid model best reproduces the surface tension of all tested solutions and can be recommended as a model for a broad range of substances and over the entire concentration range.</p>
Inputs and outputs for bilayers simulations in "Accurate Simulations of Lipid Monolayers Require a Water Model With Correct Surface Tension"
<p>Inputs and outputs file for simulations of POPC and DPPC Bilayers at various temperatures. For details see:</p>
Density, kinematic viscosity, surface tension, distillation curve, and flash point data of diesel-biodiesel blends
<p>This dataset contains measurement data for density, kinematic viscosity, surface tension, distillation curve, initial boiling point, and flash point for different biodiesel samples blended with standard diesel fuel. Properties of coconut oil methyl ester, palm oil methyl ester, and biodiesel from waste cooking oil were evaluated in terms of temperature and biodiesel volume fraction. For a detailed description of the measurements and further information, please see the published paper.</p>
Data for the article "A fully-coupled algorithm with implicit surface tension treatment for interfacial flows with large density ratios"
<p>This folder contains representative data generated for each case demonstrated in the paper entitled "A fully-coupled algorithm with implicit surface tension treatment for interfacial flows with large density ratios".<br>Authors: Romain Janodet, Berend van Wachem, and Fabian Denner.</p> <p>A readme file is included to help the navigation within the folder.</p> <p>This research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), grant numbers 452036112, 452916560, and 458610925.</p>
Morphology rather than surface tension determines CCN activity of submicron inorganic salt/organic oxidized sulfur mixed particles
<p>The measurement data. </p>
Surface tension coefficient of acqueous glycerol from Molecular Dynamics simulations
<p>The dataset contains the configuration files and the results of molecular simulations of aqueous glycerol liquid slabs. The aim of the simulations is to determine the surface tension of the interface between aqueous glycerol and its vapour. Simulations are performed with Gromacs 2021. The water model is SPC/E, while the force field for Glycerol is extrapolated from OPLS-AA according to the work by Jahn et al. (<a href="https://doi.org/10.1021/jp5059098">doi.org/10.1021/jp5059098</a>). Surface tension is computed using Gromacs analysis tool by running</p> <pre><code>gmx energy -f ener.edr</code></pre> <p>and selecting the #Surf*SurfTen term, which returns the surface tension (bar*nm) times the number of surfaces (2, due to the system's periodicity). The surface tension is computed from the difference between interface-perpendicular and interface-parallel components of the pressure tensor (see Gromacs documentation or Frenkel and Smit <em>Understanding Molecular Simulations </em>second edition p.472).</p> <p>The nomenclature of the zip files indicates the mass fraction of glycerol, ranging from 0% (Glycerol000) to 100% (Glycerol100).</p>
Water uptake, cloud condensation nuclei and surface tension: results from the MadFACTS campaign
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Circumventing surface tension: tadpoles suck bubbles to breathe air
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Inputs and outputs for monolayers simulations in "Accurate Simulations of Lipid Monolayers Require a Water Model With Correct Surface Tension"
<p>Inputs and outputs file for simulations of POPC and DPPC Monolayers at 298K. For details see:</p>
Postoperative Skin Surface Tension Relaxing in Prevention of Facial Surgical Skin Scarring
ClinicalTrials.gov study NCT03842644. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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Allen Brain Atlas
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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.