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56 results for “porosity”
Dumps and Data for 'Compaction during fragmentation and bouncing produces realistic dust grain porosities in protoplanetary discs'
<div>This dataset contains the files required to recreate the Phantom simulations run in the publication Michoulier et al. 2024, A&A 688, A31.</div> <div>We have also included the dumps required to re-create Figures 10, 11, 14, 15, 16, D.1 and E.1.</div>
Measuring the effects of regolith porosity on mid-IR spectra of the Allende meteorite
<p>This dataset contains three types of data: 1) Mid-Infrared (MIR; 5-35 micron) laboratory spectra of the Allende meteorite, 2) Measured parameters of the MIR Allende spectra, and 3) MIR spectra from the Spitzer Space Telescope of asteroids (85989) 1999 JD6, (234) Barbara, (5261) Eureka, and (114) Kassandra as described in Dausend et al., (in rev). </p> <p>Allende meteorite spectra files are labeled accordingly: Allende_[largest particle size]_[Allende ratio]</p> <p>Example: The file labeled Allende_63_70.txt contains spectra of Allende powder with 45-63 micron particle size, and an Allende:KBr ratio of 70:30.</p> <div>Additional information regarding Allende spectra feature parameters: </div> <div>We combined some features together for band parameter analyses to form ‘composite features’. A composite feature is made of two or more individual features that, together, form a larger spectral feature. In the spreadsheet these features are labeled with a ‘c’ prefix. The composite feature definitions are:</div> <div>cP_1 = P_1-2 (primary Christiansen Feature)</div> <div>cP_2 = P_3-4</div> <div>cP_3 = P_5-7</div> <div>cP_4 = P_3-7 (10 μm feature)</div> <div>cD_1 = D_2-6</div> <div> </div> <div>Corrections: </div> <ul> <li> <div>In the ‘Allende_peak_parameter’ and ‘Allende_dip_parameter’ spreadsheets, the ‘Area’ unit should be labeled as ‘μm’, not ‘μm^2’. </div> </li> </ul> <ul> <li>The last column of the ‘Wavenumbers’ sheet in “Allende_dip_parameters.xlsx” is labeled as ‘cP1 error’, but it should be ‘cD1 error’.</li> </ul>
Mid-Infrared Reflectance and Emissivity Spectra of High Porosity Regoliths
<p>This dataset contains laboratory spectra of olivine and pyroxene in the mid-Infrared (MIR; 5-35 micron) wavelength region as described in Martin et al., (in rev). </p> <p>Files are labeled accordingly: mineral_smallest particle size_largest particle size_regolith porosity_measurement type</p> <p>OLV = olivine, PYX=pyroxene</p> <p>r = ambient reflectance, a = ambient emissivity, sae = simulated asteroid environment</p> <p>Example: The file labeled OLV_45_63_10_a.txt contains spectra of olivine, with 45-63 micron particle sizes, has 10% regolith porosity, and was measured in ambient emissivity. </p>
SEM imaging data used in "Investigation of the porosity of L/LL4 ordinary chondrite Bjurböle using synchrotron radiation microtomography and scanning electron microscopy: Implications for parent body evolution"
<p>SEM imaging data used in ”Investigation of the porosity of L/LL4 ordinary chondrite Bjurböle using synchrotron radiation microtomography and scanning electron microscopy: Implications for parent body evolution” contains images of a polished section of a 0.35 cm<sup>3</sup> sample of Bjurböle obtained using scanning electron microscopy (SEM) in backscattered electron mode (pixel size 0.55 µm), as well as elemental maps of some details of the sample obtained by an energy dispersive spectrometer, as zip archives. Folder SEM contains the images covering the entire polished section. Bulk porosity of the sample was determined to be 21.9 vol% using a gas pycnometer. </p>
Acoustical-electrical models of tight rocks based on digital rock physics and double-porosity theory
<p>These data are the compressional-wave waveform and electrical and CT data obtained by Ba et al. through ultrasonic experimental and conductivity and CT scan measurements on tight-oil rocks.</p> <p>Details are given in the uploaded introduction document regarding the format of dataset.</p>
Modeling liquid transport in the Earth's mantle as two-phase flow: Effect of an enforced positive porosity on liquid flow and mass conservation
<p>These data files include the raw data for the figures shown in Lee et al. titled as 'Modeling liquid transport in the Earth’s mantle as two-phase flow: Effect of an enforced positive porosity on liquid flow and mass conservation'. <br> </p>
Porosity of the porous carbonate rocks in the Jingfengqiao-Baidiao area based on finite automata
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Data citation for a forward stratigraphic-based porosity and permeability model developed for the Volve field, Norway.
<p>The data, models, and script presented here are those used for developing a forward stratigraphic simulation. The data include: 24 suits of well logs, seismic data, forward stratigraphic simulation scenarios of the shallow marine depositional setting, synthetic wells derived from the stratigraphic model, and 3-D reservoir models in Eclipse and RMS formats. In addition, a short script from the property calculator tool in Petrel, which is was used to classify lithofacies-associations in the stratigraphic model is also provided. The Petrel software license and code used in GPM software to undertake these forward stratigraphic simulations cannot be provided, because Schlumberger, who are the developers of the software do not allow its code to be shared in any publication.</p>
Dataset for "Sorption, anomalous water transport and dynamic porosity in cement paste: A spatially localised 1H NMR relaxation study and a proposed mechanism"
<p>This record is the dataset for Figures 4, 5, 6, 7, 8 and 9 in the journal article "Sorption, anomalous water transport and dynamic porosity in cement paste: A spatially localised 1H NMR relaxation study and a proposed mechanism" published in Cement and Concrete Research, Volume 133, July 2020, 106045, https://doi.org/10.1016/j.cemconres.2020.106045.</p> <p>Abstract: The link between anomalous water sorption and dynamic porosity in cement pastes is explored using spatially resolved GARField1H nuclear magnetic resonance (NMR) relaxation analysis. A model is developed in which the effective capillary diffusion coefficient is dependent on the instantaneous pore size distribution. This and earlier data show changes in pore size distribution resultant from changes in saturation that do not occur instantaneously with changes in degree of saturation. Therefore, it is assumed that the pore size distribution is always relaxing exponentially towards a (saturation dependent) equilibrium. It follows that the diffusivity is sample history (i.e. time) dependent as well as saturation dependent. This is sufficient to explain anomalies in rapid capillary water sorption. The same concepts are applied to slow drying. In this case, porosity changes occur on a timescale much shorter than drying so the system is always in dynamic equilibrium and anomalies are therefore not seen.</p>
Data of "Distribution of porosity surrounding a microfiber in cement paste"
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Data for publication "On the flow behaviour of unconfined dual porosity aquifers with sloping base"
<p>Data used in the paper </p> <p>"On the flow behaviour of unconfined dual porosity aquifers with sloping base", </p> <p>by Konstantinos N. Moutsopoulos, John N. E. Papaspyros, Antonis D. Koussis, Frédérick Delay, and Marwan Fahs, </p> <p>submitted to Advances in Water Research.</p>
Dataset for publication: "Long term porosity of solid electrolyte interphase on model silicon anodes with liquid battery electrolytes"
<p>This is the dataset used to produce the figures for the publication "Long term porosity of solid electrolyte interphase on model silicon anodes with liquid battery electrolytes"</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>
Reversible transformations between the non-porous phases of a flexible coordination network enabled by transient porosity
<p>Raw data archive for the manuscript titled "Reversible transformations between the non-porous phases of a flexible coordination network enabled by transient porosity"</p>
Reservoir Rock Porosity Determining Oil and Gas Reserver Using Volumetric Method
<p>This material has presented on 2nd International Conference on Advanced Research in Engineering and Technology in October 25, 2023.</p>
Data for "Spectro-photometry of Phobos simulants: II. Effects of porosity"
<p>Data underlying the paper: "Spectro-photometry of Phobos simulants: II. Effects of porosity". The dataset contains visible, near-infrared, and mid-infrared spectra of porous Phobos simulants, created using a water ice sublimation experiment. Measurements at different observation geometries are available for the porous sublimation residue of Phobos simulants, in the visible and near-infrared.</p>
Data for Mercury's crustal porosity as constrained by the planet's bombardment history
<p>This archive contains grids and spherical harmonic files for <em>Mercury's crustal porosity as constrained by the planet's bombardment history Broquet A. & Rolser F. et al, submitted to Geophysical Research Letters (2024). </em></p> <p>The different grid files are provided in netcdf format and are expanded up to spherical harmonic degree 300 for crustal thickness and 80 for porosity. The spherical harmonic model uses the <a href="https://shtools.github.io/SHTOOLS/index.html">SHTOOLs</a> convention. Higher resolution models are available on demand. </p> <p>Porosity_M1.netcdf: Nominal porosity model using the parameters that best-fit gravity-derived porosity estimates</p> <p>Porosity_M2.netcdf: Porosity model using the lunar parameters</p> <p>CrustalThickness_M1.netcdf: Crustal thickness (km) considering the effect of crustal porosity from model M1 and assuming an average grain density of 2950 kg m-3.</p> <p>CrustalThickness_M2.netcdf: Crustal thickness (km) considering the effect of crustal porosity from model M2 and assuming an average grain density of 2950 kg m-3.</p> <p>CrustalThickness_M1_Beu20.netcdf: Crustal thickness (km) considering the effect of crustal porosity from model M1 and lateral grain density variations from Beuthe et al. (2020).</p> <p>CrustalThickness_M2_Beu20.netcdf: Crustal thickness (km) considering the effect of crustal porosity from model M2 and lateral grain density variations from Beuthe et al. (2020).</p> <p>CrustalThickness_2800.netcdf: Crustal thickness (km) considering the an average crustal bulk density of 2800 kg m-3.</p> <p>N20.netcdf: N20 count using a 1000-km moving window.</p> <p>Topo_degstr.sh: Spherical harmonic coefficients for the spectrally truncated Mercury Laser Altimeter model. The truncation uses the degree-strength map of Konopliv et al. (2020). </p>
Data from: Porosity and water vapor conductance of two Troodon formosus eggs an assessment of incubation strategy in a maniraptoran dinosaur
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Nitrogen‐Doped Carbons with Hierarchical Porosity via Chemical Blowing Towards Long‐Lived Metal‐Free Catalysts for Acetylene Hydrochlorination
<p>Porous nitrogen-doped carbons (NCs) are sustainable alternatives to the toxic mercury-based acetylene hydrochlorination catalysts applied in the manufacture of polyvinyl chloride. However, the application of NCs as metal-free catalysts is hampered by their insufficient durability under industrially relevant process conditions. In particular, pore blockage leads to accelerated deactivation of NCs compared to the state-of-the-art precious metal-based systems. Herein, we develop a salt template-assisted synthesis strategy coupled with chemical blowing to tune the textural properties of NCs, while preserving the N-content and speciation. The addition of metal salts (i.e., Mg(OAc)2 or CaCO3) enhances gas evolution, leading to an increased formation of micro- and mesopores, while the in-situ generated CaO/CaCl2 and MgO/MgCl2 develop auxiliary pore networks. Micropores are easily blocked during acetylene hydrochlorination, but meso- and macropores are structurally stable, enhancing the lifetime of hierarchical NCs by ca. 50 times compared to their non-templated analogues, rivalling the stability of benchmark metal-based catalysts.</p>
The impacts of well-connected intragranular porosity on mineral dissolution rates
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