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44 results for “heat transfer”
Examining the Influence of Focal Point Location on Heat Transfer Dynamics in Phase Change Material: A Dataset Publication
<p>Dataset including experimental data from small-scale solar facade module that consists of several components: Fresnel lens; cone-shaped air gap; aerogel (semi-transparent) as insulation layer; PCM container. Variations of the experimental settings in test setups are different cone diameter (2, 3 and 4 cm) and insulation layer thickness is (3,5 and 7cm). Nine different compositions were tested in laboratory to evaluate the ompact of focal point location. The focal point has been described with three different values that reflect its location on the inner and outer surfaces and in the middle of the PCM container. The corresponding figures can be found in the paper The Effect of Fresnel Lens Focal Point Location on Heat Transfer in Phase Change Material (PCM) Enhanced Dynamic Solar Facade.</p> <p>This study has been supported by Fundamental and Applied Research project ‘Smart building EnVElope with solaR Energy STorage (EVEREST)’, project No. lzp-2019/1-0363, funded by the Latvian Council of Science.</p> <p> </p>
Dataset for the Figure 2 in manuscript "Numerical study of coupled water and vapour flow, heat transfer, and solute transport in variably-saturated deformable soil during freeze-thaw cycles"
<p>This dataset includes the gathered experimental measurements of a freezing test by Wu (2017) for the model's verification shown in Figure 2 of the manuscript entitled 'Numerical study of coupled water and vapour flow, heat transfer, and solute transport in variably-saturated deformable soil during freeze-thaw cycles'' by Huang, X., and Rudolph, D.L.</p>
Dataset and Software: Heat Transfer in Pyroclastic Density Current - Ice Interactions: Insights from Experimental and Numerical Simulations
<p>This repository contains experiment data and executable MATLAB codes for the research article 'Heat Transfer in Pyroclastic Density Current - Ice Interactions: Insights from Experimental and Numerical Simulations'.</p> <p>Contained within the experiment data file Valeetal_Data.Zip are:</p> <ul> <li>Temperature, melt and steam data separated by particle type. See files: <ul> <li>Ballotini_Data_Valeetal</li> <li>Pumice_Data_Valeetal</li> <li>Ruapehu_Data_Valeetal</li> </ul> </li> <li>Melt and steam summary data plots. See file: <ul> <li>Data_Plots_Valeetal</li> </ul> </li> <li>Document with figures to demonstrate system behaviours. See file: <ul> <li>Valeetal_SI01_JGR</li> </ul> </li> </ul> <p>Contained within the model data file Model_Repository.zip are simulation data and codes that implement, process, and plot numerical solutions to the mathematical model. See README.txt for a brief description of each file.</p> <p> </p>
Dataset for: Heat Transfer and Production in Cratonic Continental Crust: Constraints from U-Pb Thermochronology of Xenoliths from the Siberian Craton
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Data from: Generalizable physical descriptors of pool boiling heat transfer from unsupervised learning of images
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Eddy flux measurements and transfer velocities of momentum, sensible heat, water vapor, and sulfur dioxide at Scripps Pier
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Software file and numerical results of Modelling heat transfer for assessing the convection length in ventilated caves
<p>The Comsol file corresponding to the reference case as shown in Figures 4-6 as well as all the numerical results for the rest of the figures are available here.</p>
Data and scripts for manuscript "Full-field modeling of heat transfer in asteroid regolith 2: Effects of porosity"
<p>Includes summary spreadsheet, solution files (zipped) in vtk format, and scripts. Vtk filenames are the same as those listed in the tables in the supplement to the JGR:Planets paper. </p>
Multiscale modelling of flow, heat transfer and transformation during thermal treatment of starch suspensions
<p>Multiscale modelling of flow, heat transfer and transformation during thermal treatment of starch suspensions</p>
Code and data from: Influence of heat transfer and wetting angle on condensable fluid flow through nanoporous anodic alumina membranes
<p>Data and matlab code to compute all figures contained in a manuscript submitted to the linked journal.</p>
Data from: Thermal conductance and basal metabolic rate are part of a coordinated system for heat transfer regulation
Thermal conductance measures the ease with which heat leaves or enters an organism's body. Although the analysis of this physiological variable in relation to climatic and ecological factors can be traced to studies by Scholander and colleagues, only small advances have occurred ever since. Here, we analyse the relationship between minimal thermal conductance estimated during summer (Cmin) and several ecological, climatic and geographical factors for 127 rodent species, in order to identify the exogenous factors that have potentially affected the evolution of thermal conductance. In addition, we evaluate whether there is compensation between Cmin and basal metabolic rate (BMR)—in such a way that a scale-invariant ratio between both variables is equal to one—as could be expected from the Scholander–Irving model of heat transfer. Our major findings are (i) annual mean temperature is the best single predictor of mass-independent Cmin. (ii) After controlling for the effect of body mass, there is a strong positive correlation between log10 (Cmin) and log10 (BMR). Further, the slope of this correlation is close to one, indicating an almost perfect compensation between both physiological variables. (iii) Structural equation modelling indicated that Cmin values are adjusted to BMR values and not the other way around. Thus, our results strongly suggest that BMR and thermal conductance integrate a coordinated system for heat regulation in endothermic animals and that summer conductance values are adjusted (in an evolutionary sense) to track changes in BMRs.
Data from: Variations of thermophysical properties and heat transfer performance of nanoparticle-enhanced ionic liquids
The ionic liquid 1-ethyl-3-methylimidazolium acetate ([EMIm]Ac) was investigated as a promising absorbent for absorption refrigeration. To improve the thermal conductivity of pure [EMIm]Ac, ionic-liquid-based nanofluids (ionanofluids) were prepared by adding graphene nanoplatelets. The thermal stability of the ionic liquid and ionanofluids was analysed. The variations of the thermal conductivity, viscosity and specific heat capacity resulting from the addition of the graphene nanoplatelets were then measured over a wide range of temperatures and mass fractions. The measured data were fitted with appropriate equations and compared with the corresponding classical models. The results revealed that the ionic liquid and ionanofluids were thermally stable over the measurement range. The thermal conductivity greatly increased with increasing mass fraction, while only slightly changed with increasing temperature. A maximum enhancement in thermal conductivity of 43.2% was observed at a temperature of 373.15 K for the ionanofluid with a mass fraction of 5%. The numerical results revealed that the dispersion of the graphene nanoplatelets in the pure ionic liquid effectively improved the local heat transfer coefficient by up to 28.6%.
Investigation of the effects surface alteration via coatings on the condensation heat transfer and wettability
<p>Heat transfer data, contact angle measurements, and images from adhesion tests</p>
Dataset for "Time-modulated near-field radiative heat transfer"
<p>Dataset for "Time-modulated near-field radiative heat transfer"</p>
Code and data from: Influence of heat transfer and wetting angle on condensable fluid flow through nanoporous anodic alumina membranes
<p>Data and matlab code to compute all figures contained in the manuscript submitted to The Journal of Physical Chemistry C.</p>
Dataset for 'Favorable trade-off between heat transfer and pressure drop in 3D printed baffled logpile catalyst structures'
<p>This data set was used to generate the results in the paper 'Favorable trade-off between heat transfer and pressure drop in 3D printed baffled logpile catalyst structures', published in Chemical Engineering Research and Design by Leon R.S. Rosseau, Jord T.A. Jansen, Ivo Roghair and Martin van Sint Annaland (https://doi.org/10.1016/j.cherd.2023.06.046).<br> The data is ordered first by configuration, then by gap spacing and finally by relative baffle length (if applicable). The heatrun case folders contain the temperature, wall-heat flux and velocity distributions at steady state with heated walls. The rtdrun case folders contain the pressure and velocity distributions at steady state without heated walls. The E-curve sampling is available as numpy array, as the storage requirements for all of the individual time steps are too high.</p> <p>This data set and the corresponding paper are based on research undertaken in relation to a project (ZEOCAT-3D) which has received funding from the European Union’s Horizon 2020 research and innovation program, under Grant Agreement No. 814548. The authors would like to thank the EU Horizon 2020 program for this opportunity. This publication only reflects the author’s views and neither the funding Agency nor the European Commission are responsible for any use that may be made of the information contained therein.<br> This work made use of the Dutch national e-infrastructure with the support of the SURF Cooperative using grant no. EINF-1478 and grant no. EINF-3116.</p>
Data from: Variations of thermophysical properties and heat transfer performance of nanoparticle-enhanced ionic liquids
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Data from: Establishment of the falling film evaporation model and correlation of the overall heat transfer coefficient
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Data from: Thermal conductance and basal metabolic rate are part of a coordinated system for heat transfer regulation
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Dataset of a heat transfer analysis in the continuous reactor for the dehydrogenation of perhydro benzyltoluene and perhydro dibenzyltoluene
<p>This entry contains data from a heat transfer analysis in a continuous fixed bed reactor for the dehydrogenation of perhydro benzyltoluene and perhydro dibenzyltoluene. The background to it are heat transfer experiments in a fixed-bed tubular reactor with vertical orientation, that were carried out in presence of the chemical reaction. </p> <p><br>Operating conditions for perhydro benzyltoluene (H12-BT): reaction pressure 3 bar(a); heating temperature 290 - 320 °C, feed flow rate 5 - 25 mL/min.<br>Operating conditions for perhydro dibenzyltoluene (H18-DBT): Reaction pressure 3 bar(a); heating temperature 290 - 320 °C, feed flow rate 5 - 25 mL/min.<br>Feed flow rates of 5, 10, 15, 20 and 25 mL/min correspond to hourly liquid space velocities (LHSV) of 0.6, 1.3, 1.9, 2.5 and 3.2 1/h.</p> <p><br>In addition to the local temperature and conversion profiles, the data sets provided contain local heat transfer coefficients as a function of the axial reactor coordinate (T_heat = 320 °C). Global heat transport data includes global heat transfer coefficients, total heat consumption, as well as hydrodynamic characteristics like the fraction of evaporated LOHC and volume ratio of gas to liquid flow. </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.