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123 results for “Swell”
Swell hindcast data for the Baltic Sea
<p>Swell hindcast data from 1999 to 2018. These data are based on the simulation made by The Baltic Monitoring Forecasting Centres(BAL MFC) Production Unit at Finnish Meteorological Institute (FMI) for the Copernicus Marine Environment Monitoring Service (CMEMS) for the product BALTICSEA_REANALYSIS_WAV_003_015. However, it contains variables not available in the CMEMS products.</p> <p>These data are documented in the publication <strong> </strong> Björkqvist, J.-V., Pärt, S., Alari, V., Rikka, S., Lindgren, E., and Tuomi, L.: Swell hindcast statistics for the Baltic Sea, Ocean Sci. Discuss. [preprint], https://doi.org/10.5194/os-2021-62, in review, 2021. The figures in the publication can be reproduced using these data.</p> <p> </p> <p> </p>
Mechanochemical induced swelling-activation of a gastric-deployable 4D printed polypill inspired by natural hygromorphic actuators - Underlying data
<p>Underloying microfocus CT data of <em><strong>Mechanochemical induced swelling-activation of a gastric-deployable 4D printed polypill inspired by natural hygromorphic actuators</strong></em> by Konstantina Chachlioutaki, Nikolaos Papas, Zisis Chatzis, Orestis L. Katsamenis, Stephanie K. Robinson, Konstantinos Tsongas, Nikolaos Bouropoulos, Dimitrios G. Fatouros, Dimitrios Tzetzis, Christina Karavasili</p> <ul> <li>K. Chachlioutaki, Z. Chatzis, D.G. Fatouros, C. Karavasili<br>Laboratory of Pharmaceutical Technology, Department of Pharmacy, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece</li> <li>N. Papas, D. Tzetzis, C. Karavasili<br>Digital Manufacturing and Materials Characterization Laboratory, School of Science and Technology, International Hellenic University, 57001 Thermi, Greece</li> <li>O.L. Katsamenis, S.K. Robinson<br>μ-VIS X-Ray Imaging Centre, Faculty of Engineering and Physical Sciences, University road, Highfield campus, Southampton, SO17 1BJ, UK<br>Institute for Life Sciences, University of Southampton, University road, Highfield campus, Southampton, SO17 1BJ, UK</li> <li>K. Tsongas<br>Department of Industrial Engineering and Management, School of Engineering, International Hellenic University, 57001 Thessaloniki, Greece</li> <li>N. Bouropoulos<br>Department of Materials Science, University of Patras, 26504 Patras, Greece</li> </ul> <p> </p>
Fig. 2 in Trypanosoma brucei: trypanocidal and cell swelling activities of lasalocid acid
Fig. 2 Effect of lasalocid acid and salinomycin on the growth of bloodstream forms of T. brucei and human myeloid leukaemia HL-60 cell. Trypanosomes (circles) and HL-60 cells (squares) were incubated with varying concentration of lasalocid acid (closed symbols) or salinomycin (open symbols). After 72 h of culture, cell viability and proliferation were determined with the colorimetric dye resazurin. The experiment was repeated three times and mean values ± SD of three experiments are shown
Fig. 3 in Trypanosoma brucei: trypanocidal and cell swelling activities of lasalocid acid
Fig. 3 Effect of polyether ionophore antibiotics on the cell volume of bloodstream forms of T. brucei. a Trypanosomes (5 × 107 cell/ml) were incubated with 100 μM lasalocid acid (triangles) or salinomycin (squares) in Baltz medium in the presence of 1% DMSO. Controls (circles) were incubated with 1% DMSO. Every 10 min, the absorbance at 490 nm was measured. Mean values ± SD of three experiments are shown. Except for the time point 0 min at all other time points, the absorbance values were statistically significantly different from each other (One-way ANOVA test, p <0.01). b Trypanosomes (5 × 107 cell/ml) were incubated with 100 μM lasalocid acid in the absence (closed circles, solid line) or presence of 6 mM EDTA (open squares, dashed line) in Baltz medium containing 1% DMSO. Every 10 min, the absorbance at 490 nm was measured. Mean values of three experiments are shown. For clarity, the standard deviations were omitted. The standard deviations ranged between 17.5–25.1% of the mean values. At each time point, the data points of the two curves were statistically not significantly different (p = 0.465–0.977, Student's t test)
Fig. 1 in Trypanosoma brucei: trypanocidal and cell swelling activities of lasalocid acid
Fig. 1 Structure of lasalocid acid. The PubChem compound identifier (CID) for the compound is shown in parentheses
Swelling of MX-80 bentonite in a narrow tube
<p>This dataset consists of the results of 16 bentonite swelling experiments. The samples (<em>d</em> = 1.0 cm, <em>h</em> = 2.0 cm) were made by compacting MX-80 bentonite into vertical aluminum tubes. The bottom end of the samples was fixed while the top end was able to move. The experiments were started by pouring simulated groundwater (0.1 M NaCl) onto the samples. The swelling process of each sample was monitored four days using a developed X-ray imaging method. Eight different combinations of initial dry density (1.40–1.80 g/cm<sup>3</sup>) and water content (12–24%) values with two repetitions for each case were used in the experiments. The method yields the partial density profiles of bentonite and water, and the deformation of the samples in the axial direction as a function of time. The method was validated by slicing the samples at the end of the experiments and measuring the partial densities of bentonite and water in the slices by oven drying. In addition, a separate sedimentation test was performed to ensure that the added tracer particles, needed in the deformation measurement, follow the solid material also in the most dilute parts of the samples. The experimental setup in this study mimics a scenario where bentonite, planned to be used as a buffer material in a nuclear waste repository, swells into a rock fracture filled by groundwater. </p> <p>For more information see: </p> <p>Harjupatana, T., Miettinen, A., & Kataja, M. (2022). A method for measuring wetting and swelling of bentonite using X-ray imaging. <em>Applied Clay Science</em>, <em>221</em>, 106485. <a href="https://doi.org/10.1016/j.clay.2022.106485">https://doi.org/10.1016/j.clay.2022.106485</a></p>
Supporting information for "Underscreening in concentrated electrolytes: Polyelectrolyte brushes exhibit re-entrant swelling behaviour"
<p>This deposition contains the data and analysis (Jupyter notebooks) detailed in "Underscreening in concentrated electrolytes: Polyelectrolyte brushes exhibit re-entrant swelling behaviour". All Jupyter notebooks have also been converted into PDF files for ease of viewing. </p> <p>All data and code (notebooks) required to reproduce the analysis can be found within the “supporting_data.zip” archive. This archive contains three sub-directories: </p> <p><strong>Spectroscopic_ellipsometry</strong> </p> <ul> <li> <p>Data directory (data_files) containing all raw ellipsometry data. </p> </li> <li> <p>“PMETAC_wet_analysis.ipynb” notebooks to reproduce the analysis of a hydrated (solid-liquid) polymer brush. Further relevant plotting tools can be found in the <a href="https://github.com/refnx/refellips">refellips</a> repo. </p> </li> <li> <p>“PMETAC_dry.ipynb” notebook to reproduce the analysis of the dry polymer film and create the areal maps. </p> </li> </ul> <p><strong>Neutron_reflectometry</strong> </p> <ul> <li> <p>Data directory (NamedData) containing all relevant reduced reflectivity profiles from the Platypus reflectometry at ANSTO. </p> </li> <li> <p>“NR_dry.ipynb”, “NR_Solid-Liquid.ipynb” notebooks required to reproduce the analysis pertaining to a dry polymer brush and a solvated brush, respectively. </p> </li> <li> <p>“NR_Solid-Liquid_corefine.ipynb” notebook for reproducing the simultaneous optimisation of the PMETAC brush in D2O and H2O: co-refinement. </p> </li> <li> <p>Additional code required to model the hydrated polymer brush and various plotting tools can be found in the <a href="https://github.com/igresh/refnxtoolbox">refnxtoolbox</a> repo and the <a href="https://github.com/refnx/refnx">refnx</a> repo. </p> </li> </ul> <p><strong>nSCFT </strong></p> <ul> <li> <p>Files containing the polymer, ion, and solvent VF profiles from nSCFT calculations. </p> </li> </ul> <p> </p>
Swell Tor London Bridge Stones
Stones at Swelltor Quarry (west side) on Dartmoor that were cut for but never used on London Bridge. Photos taken in April 2018 by George Fletcher. Source: Objaverse 1.0 / Sketchfab
Dandelion pappus morphing is actuated by radially patterned material swelling
<p>The dandelion pappus opens and closes reversibly to tune seed dispersal according to environmental moisture levels.</p> <p>In the Nature Communications paper "<em>Madeleine Seale, Annamaria Kiss, Simone Bovio, Ignazio Maria Viola, Enrico Mastropaolo, Arezki Boudaoud, Naomi Nakayama</em>, <strong>Dandelion pappus morphing is actuated by radially patterned material swelling</strong>, https://doi.org/10.1038/s41467-022-30245-3 the authors combined experiments with a computational model to show that pappus closure is coordinated by radially-patterned tissue swelling at the base of floral organs.</p> <p>This repository contains the source data for the paper.</p>
Predicting the Onset of Void Swelling in Irradiated Metals with Machine Learning
<p>Dataset to support the manuscript, "Predicting the Onset of Void Swelling in Irradiated Metals with Machine Learning", which contains all variables for predicting the target variable.</p>
Data of Graduation Project 'Anisotropic Swelling of a Cylindrical Hydrogel'
<p>The data is generated as part of the graduation project 'Anisotropic Swelling of a Cylindrical Hydrogel'.</p> <p>The data is generated via Mathematica Notebooks that can be retrieved directly from the GitHub. These notebooks are annotated, and the data provided here can be reproduced by using the appropriate parameters. The Mathematica notebooks can be subdivided in two categories, namely 1) Notebooks that generate data and 2) Notebooks that analyze the data. Notebooks that are used to analyze the data must be adjusted to import the data correctly. ReadMe-files are added to guide you through the process when using these notebooks. </p> <p>The data that is stored here can be subdivided into three different sets:</p> <ol> <li><strong>Data - spring models.zip.</strong> This data is related to the spring model as introduced in part I of the thesis.</li> <li><strong>Data – Spherical Poroelasticity Model.zip.</strong> This data is related to the spherical poroelastic model as introduced in the appendix of the thesis.</li> <li><strong>Data – Cylindrical Poroelasticity Model.zip. </strong>This data is related to the cylindrical poroelastic model as introduced in part II of the thesis.</li> </ol> <p>Each of these folders are subdivided into folders, which contain the following data:</p> <ol> <li><strong>Data – spring models.zip. </strong></li> </ol> <p>Read the ReadMe-Information-Data.txt for more information. Each folder contains the data that is generated by the notebook 'discrete3Dmodel-meanB-experimental3kDa.nb'. The numbers indicated the values for Ka, Kb and Kc before and after the transition respectively.</p> <p>Data is used to generate figure 3.3 of the report.</p> <ol> <li><strong>Data – Spherical Poroelasticity Model.zip.</strong></li> </ol> <ul> <li>Typical results for spherical hydrogel. Folder contains the data that is generated by the notebook Spherical-swelling-notebook.wl with the parameters as provided in the folder.</li> </ul> <p>Data is used to generate figure C.2, C.3 of the report</p> <ul> <li>Effect of grid size N - N = 5. Folder contains the data that is generated by the notebook Spherical-swelling-notebook.wl with the parameters as provided in the folder.</li> </ul> <p>Data is used to generate figure C.3 of the report</p> <ul> <li>Effect of chemical potential mu - mu = 0. Folder contains the data that is generated by the notebook Spherical-swelling-notebook.wl with the parameters as provided in the folder.</li> </ul> <p>Data is used to generate figure C.3 of the report</p> <ol> <li><strong>Data – Cylindrical Poroelasticity Model.zip. </strong></li> </ol> <ul> <li>Equilibrium Dynamics. Folder contains data generated by the notebook Cylinder-finalversion-annotated.wl with the parameters as provided in the folder.</li> </ul> <p>Data is used to generate figures 6.1 – 6.4 of the report</p> <ul> <li>Anisotropy parameters. Folder contains data for different anisotropy parameters generated by the notebook Cylinder-finalversion-annotated.wl with the parameters as provided in the folder.</li> </ul> <p>Data is used to generate figures 6.5 – 6.7 of the report</p> <ul> <li>Relative Humidity Rate. Folder contains data for different rates (i.e. different times) and different gridpoints generated by the notebook Cylinder-finalversion-annotated.wl with the parameters as provided in the folder.</li> </ul> <p>Data is used to generate figures 6.8 – 6.10 of the report</p> <ul> <li>Transition. Folder contains data for transitions with different properties generated by the notebook Cylinder-finalversion-annotated.wl with the parameters as provided in the folder.</li> </ul> <p>Data is used to generate figures 6.11 – 6.14, E.1 – E.8 of the report</p> <p>The other figures in the report are generated without explicit data storage, and can (in most cases) be generated directly with the appropriate notebook provided at GitHub.</p> <p>The correct version on GitHub used for generating the data can be found via https://github.com/QBraat/Cylindrical-Gel-Swelling/releases/tag/v1.0.</p>
Dataset for "DEM-CFD analysis of swelling behaviours of binary particle systems with a microscopic diffusion model"
<p>This dataset contains both numerical simulation data and experimental data describing the swelling behaviour of binary particle systems. Detailed study on the swelling behaviour is presented in a journal paper entitled "DEM-CFD analysis of swelling behaviours of binary particle systems with a microscopic diffusion mode". We provide all the essential data in a single excel file with the description below:</p> <p>Dataset 1- Evolution of the height of the particle bed obtained from experiments and simulations (used in Fig.6 of the associated paper): Experimental data for the measured hight and associated standard deviation at various time, as well as the numerical data.</p> <p>Dataset 2 - Evolutions of the normalised average radius r/r_0 (used in Fig.7a) and the coefficient of variation CV (used in Fig.7b) for SAP particles obtained from DEM-CFD simulations.</p> <p>Dataset 3 - Radial distribution Functions (RDFs) for (Fig.9a) SAP particles and (Fig.9b) POM particles at different time instants.</p> <p>Dataset 4 - Positions of POM particles projected into the x-y plane at different time instants (the red dots are particle centres), (a) t = 0 min; (b) t = 3 min; (c) t = 6 min; (d) t = 10 min.</p> <p>Dataset 5 - Evolution of Lacey mixing index for the binary particles during the swelling process.</p> <p>Dataset 6 - Average normal stress distribution of particles in x-y and x-z planes at t = 2 min.</p> <p>DataSet 7 - Velocity vectors of particles projected in x-z planes at different time instants: (a) t = 1 min; (b) t= 2 min (Data for Fig.13)</p> <p>Dataset 8 - Positions of POM particles projected into x-y plane at time t= 10 min (the red dots are particle centres) with different coefficient of frictions (a) μ=0.1; (b) μ=0.2; (c) μ=0.3; (d) μ=0.4; (e) μ=0.5.(Data for Fig.15)</p> <p>Dataset 9 - RDFs for POM particles at time t= 10 min with different coefficients of friction.(Data for Fig.16)</p>
Figure 1: Extraoral photograph of the patient showing swelling on right side of the jaw.
<p>Figure 1: Extraoral photograph of the patient showing swelling on right side of the jaw.</p>
Measuring Volume Using a 3D Scanner and iPad to Grade the Swelling of Legs
ClinicalTrials.gov study NCT06944041. IPD Sharing: NO. Countries: 1. Publications: 4.
A Multi-Center Trial To Evaluate The Safety And Efficacy Of Pegaptanib Sodium(Macugen) Injected Into The Eye Every 6 Weeks For Up To 2 Years For Macular Swelling Associated With Diabetes, With An Open
ClinicalTrials.gov study NCT00605280. IPD Sharing: Not stated. Countries: 18. Publications: 1.
Do NSAIDS or Executing Exercise Decrease Local Erythema, Site Swelling & Pain After INoculation
ClinicalTrials.gov study NCT02807623. IPD Sharing: NO. Countries: 1. Publications: 53.
Reparel Knee Sleeve vs. TED Hose for Post-op Swelling, Pain and Range of Motion After Total Knee Replacement
ClinicalTrials.gov study NCT04751942. IPD Sharing: NO. Countries: 1. Publications: 13.
Efficacy of Buffered Lidocaine in Patients With Facial Swelling
ClinicalTrials.gov study NCT01981772. IPD Sharing: NO. Countries: 1. Publications: 25.
Treating Brain Swelling in Pediatric Cerebral Malaria
ClinicalTrials.gov study NCT03300648. IPD Sharing: YES. Countries: 1. Publications: 1.
The Vivaer Procedure for Treatment of the Septal Swell Bodies (SWELL)
ClinicalTrials.gov study NCT05099263. IPD Sharing: NO. Countries: 1. Publications: 2.
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
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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.