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168 results for “Ethylene”
Hybridization of Fossil- and CO2-Based Routes for Ethylene Production using Renewable Energy
<p>Dataset associated with the publication "Hybridization of Fossil- and CO<sub>2</sub>-Based Routes for Ethylene Production using Renewable Energy" by Iasonas Ioannou, Sebastiano C. D'Angelo, Antonio J. Martín, Javier Pérez-Ramírez, and Gonzalo Guillén-Gosálbez, available at <a href="https://doi.org/10.1002/cssc.202001312">https://doi.org/10.1002/cssc.202001312</a>. The dataset includes the numeric data associated with most of the scenarios described in the main manuscript and in the Supporting Information (SI), as well as the tables presented in the main manuscript and in the SI converted in a machine-readable format.</p> <p>The structure of the dataset is here elucidated sheet by sheet:</p> <ul> <li><strong>MS-Results</strong>: numerical values associated with the economic and environmental results included in both the main manuscript and the SI, for all the considered scenarios. The results include the total price for the assessed scenarios, with and without externalities, with uncertainty ranges, as well as the environmental results for human health, ecosystems, resources, and global warming potential (GWP).</li> <li><strong>MS-Tables</strong>: table reported in the main manuscript associated with the price and breakeven point of four assessed scenarios dependent on different CO<sub>2</sub> source assumptions.</li> <li><strong>SI-Tables-Economics</strong>: tables reported in the SI associated with the economic assessment of all the scenarios.</li> <li><strong>SI-Tables-LCI</strong>: tables reported in the SI associated with the environmental assessment of all the scenarios.</li> <li><strong>SI-Tables-AdditionalResults</strong>: tables reported in the SI associated with additional results presented in the work.</li> </ul>
Kinetics assessment of the homogeneously catalyzed hydroformylation of ethylene on a Rh-catalyst
<p>Supplementary Information. Section S1, description of dependence of rate and equilibrium coefficients on selected standard state, reaction entropies of reaction steps at different standard states, and derivation of rate equations; Section S2, experimental conditions of data sets selected for model regression and model validation; Section S3, calculation of enthalpies and entropies of solvation explained in more detail and obtained values; and Section S4, calculation of entropies of coordination explained in detail and resulting values</p>
Measurements of ethylene production (using the acetylene reduction assay) as a proxy for nitrogen fixation of epiphytes on seagrass in West Falmouth Harbor during July from 2005 through 2019.
West Falmouth Harbor (West Falmouth, MA, USA) has been experiencing a dramatic increase in nitrogen loading from an upgradient municipal wastewater treatment facility since the early 2000’s. As part of a long-term study into the effects of this nitrogen enrichment, we have measured nitrogen fixation rates of seagrass-associated epiphytes using the acetylene reduction technique. Samples were taken annually in July at two sites, one in the well-flushed outer basin (OH) and one in the inner basin closer to the dominant groundwater N source (Snug Harbor, SH). Additional data are presented in 2019 at 18 sites spatially distributed through the seagrass bed to assess spatial heterogeneity. Individual replicate data are presented. These data are in support of a manuscript submitted to the journal Biogeochemistry by Marino et al, submitted for publication (12/2022).
ePSproc: Ethylene (C2H4), orb 7 (HOMO-1) ionization (B3g), wavefn run, 1.0:2.5:100.0
Ethylene (C2H4), orb 7 (HOMO-1) ionization (B3g), wavefn run, 1.0:2.5:100.0 - photoionization calculations with ePolyScat (ePS) + ePSproc.<br><br>*Web version*: <a href="https://phockett.github.io/ePSdata/C2H4_1.0-100.0eV/C2H4_1.0-100.0eV_orb7_B3g.html">https://phockett.github.io/ePSdata/C2H4_1.0-100.0eV/C2H4_1.0-100.0eV_orb7_B3g.html</a><br><br>For more details of the calculations, see readme.txt, or: <ul><li><a href="https://phockett.github.io/ePSdata/about.html">About ePSdata</a></li><li><a href="http://epsproc.readthedocs.io/en/latest/about.html">About ePSproc</a></li><li><a href="http://www.chem.tamu.edu/rgroup/lucchese/ePolyScat.E3.manual/manual.html">About ePS</a></li></ul>
ePSproc: Ethylene (C2H4), orb 3 ionization (Ag), wavefn run, 1.0:2.5:100.0
Ethylene (C2H4), orb 3 ionization (Ag), wavefn run, 1.0:2.5:100.0 - photoionization calculations with ePolyScat (ePS) + ePSproc.<br><br>*Web version*: <a href="https://phockett.github.io/ePSdata/C2H4_1.0-100.0eV/C2H4_1.0-100.0eV_orb3_Ag.html">https://phockett.github.io/ePSdata/C2H4_1.0-100.0eV/C2H4_1.0-100.0eV_orb3_Ag.html</a><br><br>For more details of the calculations, see readme.txt, or: <ul><li><a href="https://phockett.github.io/ePSdata/about.html">About ePSdata</a></li><li><a href="http://epsproc.readthedocs.io/en/latest/about.html">About ePSproc</a></li><li><a href="http://www.chem.tamu.edu/rgroup/lucchese/ePolyScat.E3.manual/manual.html">About ePS</a></li></ul>
ePSproc: Ethylene (C2H4), orb 1 ionization (Ag), wavefn run, 1.0:2.5:100.0
Ethylene (C2H4), orb 1 ionization (Ag), wavefn run, 1.0:2.5:100.0 - photoionization calculations with ePolyScat (ePS) + ePSproc.<br><br>*Web version*: <a href="https://phockett.github.io/ePSdata/C2H4_1.0-100.0eV/C2H4_1.0-100.0eV_orb1_Ag.html">https://phockett.github.io/ePSdata/C2H4_1.0-100.0eV/C2H4_1.0-100.0eV_orb1_Ag.html</a><br><br>For more details of the calculations, see readme.txt, or: <ul><li><a href="https://phockett.github.io/ePSdata/about.html">About ePSdata</a></li><li><a href="http://epsproc.readthedocs.io/en/latest/about.html">About ePSproc</a></li><li><a href="http://www.chem.tamu.edu/rgroup/lucchese/ePolyScat.E3.manual/manual.html">About ePS</a></li></ul>
Data for the publication "Impact of Enzymatic Degradation on the Material Properties of Poly(ethylene terephthalate)"
<p><strong>Background</strong></p> <p>The data set contains raw data of fatigue crack propagation resistance measurements (da/dN), differential scanning calorimetry (DSC), atomic-force microscopy (AFM), and ultra-high performance liquid chromatography (UHPLC) of PET samples incubated with PETase. The experiments were done in the laboratory at the Department of Polymer Engineering and Department of Biochemistry, University of Bayreuth, Germany in 2020 and 2021.</p> <p>The data set was analysed in the publication: Menzel, T.; Weigert, S.; Gagsteiger, A.; Eich, Y.; Sittl, S.; Papastavrou, G.; Ruckdäschel, H.; Altstädt, V.; Höcker, B. Impact of Enzymatic Degradation on the Material Properties of Poly(Ethylene Terephthalate). <em>Polymers</em> <strong>2021</strong>, 13(22), 3885. https://doi.org/10.3390/polym13223885</p> <p><strong>Disclaimer</strong></p> <p>The data are provided without any warranty. Details on the experimental setup are given in the publication.</p> <p><strong>References</strong></p> <p>Menzel, T.; Weigert, S.; Gagsteiger, A.; Eich, Y.; Sittl, S.; Papastavrou, G.; Ruckdäschel, H.; Altstädt, V.; Höcker, B. Impact of Enzymatic Degradation on the Material Properties of Poly(Ethylene Terephthalate). <em>Polymers</em> <strong>2021</strong>, 13(22), 3885. https://doi.org/10.3390/polym13223885</p> <p> </p> <p> </p> <p> </p> <p> </p>
Cryo 4D-STEM Data Set: isotactic Polypropylene/ Ethylene-Octene Copolymer Interface
<p><strong>Sample:</strong> Data is taken of a iPP/EO (DOW ENGAGE<sup>TM</sup> 8540) blend interface. The blend was cryo-microtomed to a nominal slice thickness of 50nm. Transmission electron microscopy was performed using the TEAM I microscope at the Lawrence Berkeley National Laboratory using a Gatan K3 detector and Continuum spectrometer.</p> <p><strong>Data Set 12: </strong>This work was performed at -185°C under liquid nitrogen cooling with a 300kV accelerating voltage and a semi-convergence angle of 0.5mrad which yielded a diffraction-limited probe with a full-width half-max of 2nm. The beam was rastered with a step size of 5nm over a 505 × 500nm<sup>2</sup> field of view. The electron dose per sample area over the entire scan is 20 e<sup>-</sup>/Å<sup>2</sup>. However, 4D-STEM is a converged probe technique in which ~80% of the beam fluence is contained within 1.74 × the FWHM of the probe. Using 1.74 × the FWHM of the probe as the diameter to calculate the irradiated sample area yields a dose of 60 e<sup>-</sup>/Å<sup>2</sup> for this data set. Gold nanoparticles were used to calibrate the reciprocal space pixel size as well as measure the elliptical distortion present in the data set.</p> <p><strong>Data Set 18: </strong>This data was taken at -185°C under liquid nitrogen cooling with a 300kV accelerating voltage and a semi-convergence angle of 0.14mrad which yielded a diffraction-limited probe with a full-width half-max of 10nm. The beam was rastered with a step size of 10nm over a 1.4 × 1.4μm<sup>2</sup> field of view. The electron dose per sample area over the entire scan was 0.50 e-/Å<sup>2</sup> while the dose per probe area was 0.64 e-/Å<sup>2</sup>. Gold nanoparticles were used to calibrate the reciprocal space pixel size.</p> <p><strong>Data Set 19: </strong>This data was taken over the exact same area as Data Set 18 to give a comparison under larger dose accumulation. The data was obtained with the exact same parameters and under the same experimental conditions as Data Set 18.</p>
Datasets to Poly(ethylene oxide)-based Electrolytes for Solid-State Potassium Metal Batteries with Prussian Blue Positive Electrode
<p>This dataset provides the raw data to the manuscript</p> <p>"<strong>Poly(ethylene oxide)-based Electrolytes for Solid-State Potassium Metal Batteries with Prussian Blue Positive Electrode"</strong></p> <p>published in ACS Appl. Polym. Mater. (DOI: <a href="https://doi.org/10.1021/acsapm.2c00014">10.1021/acsapm.2c00014</a> ) / <a href="https://doi.org/10.1021/acsapm.2c00014">https://doi.org/10.1021/acsapm.2c00014</a></p> <p>Specifically, the following measurements are provided:</p> <p>Electrochemical cell tests of liquid and solid electrolytes ("CYCLING_" & Ratecapability test)</p> <p>Solid electrolyte characterization:</p> <p>Differential Scanning Calorimetry ("DSC_")</p> <p>Electrochemical Impedance Spectroscopy ("EIS_")</p> <p>Rheological measurements ("RHEO_")</p> <p>X-ray diffraction data ("XRD_")</p>
Ethylene (C2H4) point-sources detected by the IASI infrared satellite instrument (2008-2020).
<p>This dataset includes the super-sampled IASI 0.01° × 0.01° C<sub>2</sub>H<sub>4</sub> HRI dataset in GeoTIFF format and the catalogue of the identified and categorized C<sub>2</sub>H<sub>4</sub> point-sources in kml format (C2H4_HRI_pointsources.zip). It also includes the super-sampled IASI C<sub>2</sub>H<sub>4</sub> total columns used to calculate the emission fluxes from the analyzed point-sources (C2H4_column_pointsources.zip) and the source data needed to reproduce the figures (C2H4_SourceData.zip). The code to calculate the C<sub>2</sub>H<sub>4</sub> HRI from IASI spectra and to retrieve the C<sub>2</sub>H<sub>4</sub> total columns is provided (C2H4_codes.zip), along with the artificial neural network used for the retrievals, instructions and example data. The codes of the oversampling, wind rotation and supersampling are available in the paper of Clarisse <em>et al.</em> (2019) at <a href="https://doi.org/10.5194/amt-12-5457-2019">https://doi.org/10.5194/amt-12-5457-2019</a>.</p>
Data set for the journal article: Tandem electrocatalytic CO2 reduction with Fe-porphyrins and Cu nanocubes enhances ethylene production
<p>Copper-based tandem schemes have emerged as promising strategies to promote the formation<br> of multi-carbon products of the electrocatalytic CO2 reduction reaction. In such approaches,<br> the CO-generating component of the tandem catalyst increases the local concentration of CO<br> and thereby enhances the intrinsic carbon-carbon (C-C) coupling on copper. However, the<br> optimal characteristics of the CO-generating catalyst for maximizing eventual C2 production<br> are currently unknown. In this work, we developed tunable tandem catalysts comprising iron<br> porphyrin (Fe-Por), as the CO-generating component, and Cu nanocubes (Cucub) to understand<br> how the turnover frequency for CO (TOFCO) of the molecular catalysts impacts C-C coupling<br> on the Cu surface. First, we tuned the TOFCO of the Fe-Por by varying the number of orbitals<br> involved in the π-system. Then, by coupling these molecular catalysts with the Cucub, we<br> assessed the current densities and faradaic efficiencies, discovering that all of the designed Fe-<br> Por boost ethylene production. The most efficient Cucub/Fe-Por tandem catalyst was the one<br> including the Fe-Por with the highest TOFCO and exhibited a nearly 22-fold increase in the<br> ethylene selectivity and 100 mV positive shift of the onset potential with respect to the pristine<br> Cucub. These results reveal that coupling the TOFCO tunability of molecular catalysts along with<br> copper nanocatalysts opens up new possibilities towards the development of Cu-based catalysts<br> with enhanced selectivity for multi-carbon product generation at low overpotential.</p>
Crystallinity and perfection in ethylene vitrimers probed by combined calorimetry, scattering, and time-domain NMR
<p>This Dataset comprises the raw data contained in the figures of our journal article in <em>Frontiers in Soft Matter </em>(DOI: 10.3389/frsfm.2023.1208777)<em>. </em>We provide a preprint of the article for reference to the figures and their captions, necessary to use the data. For copyright details and licensing we refer to the original article and the publisher. Here is the abstract of the article:</p> <p>The kinetics of crystallization and crystal-crystal transformations in ethylene vitrimers are studied by time-domain NMR. These vitrimers previously exhibited polymorphic transition of crystal structures, which are shown here to be distinguishable by NMR via their dipolar line widths based upon different proton densities and fast internal motions. The conditions under which the polymorphs are formed and interconvert are identified via time-resolved NMR experiments, with a focus on recrystallization after full and partial melting. DSC experiments are used to clarify an unexpected superheating effect, which challenges the determination of actual melting points. We further identify a strong memory effect in isothermal (re)crystallization. Implications of the dynamic nature of the vitrimers in relation to the kinetics of crystallization are discussed. We find that internal perfecting of crystals, enabled by the vitrimeric exchange process, can have a large effect on the DSC-detected melting enthalpy without change in overall crystallinity.</p>
Dataset of paper "Evaluation Of Microplastics Release From Solar Water Disinfection Poly(Ethylene Terephthalate) And Polypropylene Containers"
<p>Dataset of paper "Evaluation Of Microplastics Release From Solar Water Disinfection Poly(Ethylene Terephthalate) And Polypropylene Containers":</p><ul><li>Effect of the underlying glass fiber (GF) filter on the baseline of an HDPE MP microreflectance spectrum.</li><li>Comparison between the spectrum of a particle collected from the treated water and the spectrum of pristine high-density polyethylene polymer.</li><li>Number of total microplastics (high-density polyethylene and polypropylene) found in PET bottles.</li><li>Number of total microplastics (high-density polyethylene and polypropylene) found in TJC containers.</li><li>Comparison between the spectrum of PP particles recovered after 10 weeks of exposure time.</li><li>Number of microplastics identified as polypropylene and weathered polypropylene in the samples corresponding to the translucent jerrycans containers.</li><li>Number of microplastics identified as polypropylene and weathered polypropylene in the samples corresponding to the transparent jerrycans containers.</li><li>Number of polypropylene microplastics found in the translucent and transparent jerrycans containers.</li><li>Number of microplastics found in PET bottles and TJC containers.</li><li>Size of the microplastics found in the study. </li><li>Abundance of each target polymer found in the study based on the measured minor particle dimension.</li></ul>
Relationship Between Crystallization, Mechanical and Gas Barrier Properties of Poly(ethylene furanoate) (PEF) in Multinanolayered PLA-PEF and PET-PEF Films
<p>Alain Guinault, from CNAM, presented at the 24<sup>th</sup> International Conference on Material Forming (ESAFORM 2021) the results obtained and published in the framework of the project MyPack “Relationship Between Crystallization, Mechanical and Gas Barrier Properties of Poly(ethylene furanoate) (PEF) in Multinanolayered PLA-PEF and PET-PEF Films.”</p>
Dataset ethylene nano-micro
<p>Investigation of the influence of zeolite crystal size on the ethylene transformation of the intermediate in the Methane dehydroaromatization process.</p> <p>The complete scientific article that can be found at https://zenodo.org/record/6341805#.YjxcEufMJhE</p>
Thermal conductivity of ethylene glycol at various temperatures
<p><strong>Thermal conductivity of ethylene glycol at various temperatures</strong></p> <p>Junjie Chen</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p> <p> </p> <p>Ethylene glycol is mainly used for two purposes, as a raw material in the manufacture of polyester fibers and for antifreeze formulations. It is an odorless, colorless, flammable, viscous liquid. Ethylene glycol has a sweet taste, but it is toxic in high concentrations. Ethylene glycol is produced from ethylene, via the intermediate ethylene oxide. Ethylene oxide reacts with water to produce ethylene glycol. This reaction can be catalyzed by either acids or bases, or can occur at neutral pH under elevated temperatures. The highest yields of ethylene glycol occur at acidic or neutral pH with a large excess of water. Under these conditions, ethylene glycol yields of 90 percent can be achieved. The major byproducts are the oligomers diethylene glycol, triethylene glycol, and tetraethylene glycol. The separation of these oligomers and water is energy-intensive. Because the methanol is recycled, only carbon monoxide, hydrogen, and oxygen are consumed. The major use of ethylene glycol is as an antifreeze agent in the coolant in for example, automobiles and air-conditioning systems that either place the chiller or air handlers outside or must cool below the freezing temperature of water. In geothermal heating and cooling systems, ethylene glycol is the fluid that transports heat through the use of a geothermal heat pump. The ethylene glycol either gains energy from the source or dissipates heat to the sink, depending on whether the system is being used for heating or cooling. Pure ethylene glycol has a specific heat capacity about one half that of water. So, while providing freeze protection and an increased boiling point, ethylene glycol lowers the specific heat capacity of water mixtures relative to pure water. The freezing point depression of some mixtures can be explained as a colligative property of solutions but, in highly concentrated mixtures such as the example, deviations from ideal solution behavior are expected due to the influence of intermolecular forces. It's important to note that though pure and distilled water will have a greater specific heat capacity than any mixture of antifreeze and water, commercial antifreezes also typically contain an anti-corrosive additive to prevent pure water from corroding coolant passages in the engine block, cylinder heads, water pump and radiator. There is a difference in the mixing ratio, depending on whether it is ethylene glycol or propylene glycol. The use of ethylene glycol not only depresses the freezing point of aqueous mixtures, but also elevates their boiling point. This results in the operating temperature range for heat-transfer fluids being broadened on both ends of the temperature scale. The increase in boiling temperature is due to pure ethylene glycol having a much higher boiling point and lower vapor pressure than pure water, as is typical with most binary mixtures of volatile liquids. In the plastic industry, ethylene glycol is an important precursor to polyester fibers and resins. Polyethylene terephthalate, used to make plastic bottles for soft drinks, is prepared from ethylene glycol. Ethylene glycol is used in the natural gas industry to remove water vapor from natural gas before further processing.</p> <p> </p> <p>Thermodynamic temperature (degrees kelvin), Thermal conductivity (watts per meter-kelvin)</p> <p>0.2549 280</p> <p>0.2563 290</p> <p>0.2576 300</p> <p>0.259 310</p> <p>0.2603 320</p> <p>0.2616 330</p> <p>0.263 340</p> <p>0.2643 350</p> <p>0.2645 288.15</p> <p>0.2609 293.15</p> <p>0.2695 353.15</p>
Selective Lactic Acid Synthesis via Ethylene Glycol Electrooxidation in Borate Buffer
<p>dataset for the corresponding publication in ChemComm</p>
"Inverted" cyclic(alkyl)(amino)carbene ligands allow olefin metathesis with ethylene at parts-per-billion catalyst loading
<p>Data confirming the structure of the new compounds obtained within the project, published in <em>Chem Catalysis </em><strong>2023</strong><em>, 3, 100713.</em></p> <p><a href="https://doi.org/10.1016/j.checat.2023.100713">https://doi.org/10.1016/j.checat.2023.100713</a></p> <p>The research was supported by the National Science Centre, Poland (OPUS grant DEC-2017/27/B/ST5/02563).</p>
Trihelix transcription factor SlGT31 regulates fruit ripening mediated by ethylene in tomato
<p class="MsoNormal"><span>Trihelix proteins are plant-specific transcription factors that play crucial roles in plant development and stress responses. However, the involvement of trihelix proteins in fruit ripening and transcriptional regulatory mechanisms remains largely unclear. In this study, we cloned a trihelix <span>gene<em> SlGT31</em>, whose relative expression was significantly induced by the application of exogenous ethylene but repressed by 1-methylcyclopropene (1-MCP). Suppression of <em>SlGT31</em> resulted in delayed fruit ripening, decreased accumulation of total carotenoids and ethylene content, and inhibition of relative expression of genes related to ethylene and fruit ripening. Conversely, the opposite results were observed in <em>SlGT31</em>-overexpression lines. Yeast one-hybrid and dual-luciferase assays suggested that SlGT31 could bind to the promoters of two key ethylene biosynthesis genes <em>ACO1 </em>and <em>ACS4.</em> These results indicate that SlGT31 may act as a positive modulator during fruit ripening.</span></span></p>
Trihelix transcription factor SlGT31 regulates fruit ripening mediated by ethylene in tomato
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