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Figure 3 in Transfer of the myrmecophilous soft scale insect Neolecanium amazonensis Foldi to Foldilecanium gen. nov. (Hemiptera: Coccidae), with description of a new species from Colombia.
Figure 3. Foldilecanium multisetosus Kondo, adult female.
Figure 1 in Transfer of the myrmecophilous soft scale insect Neolecanium amazonensis Foldi to Foldilecanium gen. nov. (Hemiptera: Coccidae), with description of a new species from Colombia.
Figure 1. Foldilecanium amazonensis (Foldi), adult female.
On energy transfer of parametric resonance for wave energy conversion
<p>Parametric resonance has been observed, both numerically and experimentally, in various studies of wave energy converters (WECs). A large motion in heave induces a periodic variation in the metacentric height of a WEC body, and, consequently, causes a harmonic variation in pitch/roll restoring coefficients, which can parametrically excite the pitch/roll modes. Current studies have a specific focus to determine the occurrence conditions of parametric resonance, by detecting the boundaries between stable and unstable regions in the parameter space. In the literature, some studies aim to make use of parametric resonance for improving power capture. In contrast, some studies try to suppress the effect of parametric resonance, as it reduces power capture efficiency. However, how energy transfers from one mode to another is not fully understood. This study aims to analyse the energy transfer between heave and pitch/roll modes when parametric resonance occurs. A generic cylindrical point absorber is studied as a WEC floater to considering non-linear wave-structure interaction, including non-linear Froude-Krylov and viscous forces. A heave-pitch-roll three-degree-of-freedom model is derived for numerical study of the energy transfer between different operation modes.</p>
Observation of robust energy transfer in the photosynthetic protein allophycocyanin using single-molecule pump-probe spectroscopy - single-molecule photon stream
<p>Photon stream used in the article "<em>Observation of robust energy transfer in the photosynthetic protein allophycocyanin using single-molecule pump-probe spectroscopy" </em> to analyze single-molecule fluorescence emission. Detected emission for single-molecule pump-probe experiments with an associated instrument response function (IRF) and background fluoresence (BG). Each detected photon is described by its time within the collected photon stream and its time relative to the excitation laser. Data is organized by sample and by date. Also included is an .xlsx document with fitted timescales for all included molecules and Matalb structure titled 'FinalDataAndStatistics.mat', which includes the final data, and statistics for the data used within the paper.</p>
Thermally coupled monolith reactors with enhanced heat transfer for conducting simultaneous endothermic and exothermic reactions
<p><strong>Thermally coupled monolith reactors with enhanced heat transfer for conducting simultaneous endothermic and exothermic reactions</strong></p> <p>Junjie Chen</p> <p>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>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com</p> <p> </p> <p>A reactor must be of sufficient length to allow a reaction to proceed to the required conversion. Utilizing high gas velocities typically results in reactors with large length to width ratios which again results in systems with high pressure drops. The smaller the characteristic dimension of the catalyst particle the higher is the utilization of the catalyst. This is sometimes expressed as a higher effectiveness factor. However, beds formed from small particles exhibit higher pressure drops than similar beds formed from larger particle. So, an engineer designs a system with expectable compromises between heat transfer, catalyst utilization, system conversion, and pressure drop. Therefore, a reactor for conducting catalytic processes which can promote overall heat transfer and levels of conversion whilst minimizing pressure drop is desired. Another deficiency of traditional heat transfer equipment is start-up time and thermal response to transients. As reactors are traditionally large and heavy, they have significant thermal inertia. Therefore, the system takes significant time to re-equilibrate from any change in load or process operating conditions. Therefore, a reactor with enhanced response characteristics particularly for rapid start up is desired. A number of methods have been directed to methods of increased heat transfer within reactors and towards low pressure drop catalytic reactors and processes.</p> <p>Streamwise distance (meters), Heat flux (watts per square meter)</p> <p>0 24445.8</p> <p>0.00025 134016</p> <p>0.0005 131072</p> <p>0.00075 151168</p> <p>0.001 85641.3</p> <p>0.00125 -1444</p> <p>0.0015 -1860.19</p> <p>0.00175 -1518.44</p> <p>0.002 54696.4</p> <p>0.00225 97408</p> <p>0.0025 82176</p> <p>0.00275 94848</p> <p>0.003 54951.4</p> <p>0.00325 272.062</p> <p>0.0035 190.062</p> <p>0.00375 172.75</p> <p>0.004 30551.3</p> <p>0.00425 55808</p> <p>0.0045 50432</p> <p>0.00475 60160</p> <p>0.005 35216.3</p> <p>0.00525 267.563</p> <p>0.0055 230.062</p> <p>0.00575 199.562</p> <p>0.006 21724.7</p> <p>0.00625 39680</p> <p>0.0065 35840</p> <p>0.00675 42112</p> <p>0.007 24419.8</p> <p>0.00725 184.875</p> <p>0.0075 157.375</p> <p>0.00775 138</p> <p>0.008 18497.7</p> <p>0.00825 33024</p> <p>0.0085 28672</p> <p>0.00875 32384</p> <p>0.009 18375</p> <p>0.00925 128.25</p> <p>0.0095 103.25</p> <p>0.00975 90.5625</p> <p>0.01 16940.7</p> <p>0.01025 29440</p> <p>0.0105 24448</p> <p>0.01075 26496</p> <p>0.011 14644.3</p> <p>0.01125 91.5</p> <p>0.0115 68.8125</p> <p>0.01175 61.3125</p> <p>0.012 16031.7</p> <p>0.01225 27392</p> <p>0.0125 22016</p> <p>0.01275 23040</p> <p>0.013 12456.8</p> <p>0.01325 69.125</p> <p>0.0135 47.6875</p> <p>0.01375 42.5</p> <p>0.014 15255.2</p> <p>0.01425 25856</p> <p>0.0145 20096</p> <p>0.01475 20224</p> <p>0.015 10784.7</p> <p>0.01525 53.8125</p> <p>0.0155 33.375</p> <p>0.01575 30.25</p> <p>0.016 14481.9</p> <p>0.01625 24192</p> <p>0.0165 18304</p> <p>0.01675 17792</p> <p>0.017 9241.95</p> <p>0.01725 40.7501</p> <p>0.0175 21.3125</p> <p>0.01775 19.5625</p> <p>0.018 13581</p> <p>0.01825 22528</p> <p>0.0185 16768</p> <p>0.01875 15872</p> <p>0.019 8084.96</p> <p>0.01925 31.375</p> <p>0.0195 12.5</p> <p>0.01975 11.3125</p> <p>0.02 12809.2</p> <p>0.02025 20992</p> <p>0.0205 15104</p> <p>0.02075 13824</p> <p>0.021 6927.91</p> <p>0.02125 21.8125</p> <p>0.0215 4.18748</p> <p>0.02175 3.87499</p> <p>0.022 11653.6</p> <p>0.02225 18816</p> <p>0.0225 13312</p> <p>0.02275 12032</p> <p>0.023 5900.31</p> <p>0.02325 15.5625</p> <p>0.0235 -0.375003</p> <p>0.02375 -0.250023</p> <p>0.024 10115.4</p> <p>0.02425 16384</p> <p>0.0245 11520</p> <p>0.02475 10496</p> <p>0.025 5258.69</p> <p>0.02525 13.5625</p> <p>0.0255 0.125008</p> <p>0.02575 -2.83833E-05</p> <p>0.026 8578.74</p> <p>0.02625 13824</p> <p>0.0265 9856</p> <p>0.02675 9216</p> <p>0.027 4618.92</p> <p>0.02725 15.75</p> <p>0.0275 5.68751</p> <p>0.02775 5.625</p> <p>0.028 6404.77</p> <p>0.02825 10624</p> <p>0.0285 8320</p> <p>0.02875 8832</p> <p>0.029 4751.49</p> <p>0.02925 26.8125</p> <p>0.0295 20.3125</p> <p>0.02975 16.3125</p> <p>0.03 2.63005</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>
Thermally coupled monolith reactors with enhanced heat and mass transfer for hydrogen production
<p><strong>Thermally coupled monolith reactors with enhanced heat and mass transfer for hydrogen production</strong></p> <p>Junjie Chen</p> <p>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>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com</p> <p> </p> <p>The thermally coupled monolith reactor design comprises, in one form thereof, a monolith to which, at each end, the uppermost section of the dividing walls of alternate rows of channels has been ground or cut away. The top section of each of the created voids has been sealed with a suitable material from the end to a depth as to leave an opening in the outer wall, such that a distinct inlet or outlet is formed. A catalyst coating has been applied to the inner wall of the two sets of channels using a suitable technique, one of which is the well-known washcoat technique. Two manifolds, with suitable gaskets, are attached to open ends of the monolith. Furthermore, two addition manifolds, with suitable gaskets, are affixed to the two newly formed openings. The gasket material is chosen to afford a reasonable gas tight seal to prevent cross flow between the two channels. The catalyst coatings may need to be calcined and reduced in order to produce an active catalyst. More particularly, the design comprises, in one form, a monolith to which alternate channels have been sealed at opposing ends. A catalyst coating has been applied to the inner wall. A thin capillary like tube is passed through the inlet of the void and arranged such that it falls short of the sealed end. The opposing end is prepared in a similar manner. Process gas is passed through this tube to the far end of the monolith. The fluid exits the tube is directed back towards to inlet. As the fluid traverses the channel reaction occurs in the catalytically coated walls. Any heat which is required or generated by the process is transferred through the wall. However, even with this highly efficient transfer mechanism the gas will still absorb some heat energy and become hot. This heat energy can be conducted through the capillary inlet tube to preheat the incoming reactants. This arrangement alleviates the need for an external heat exchanger (although one can be used to provide further heating) and improvers the overall efficiency of the reactor.</p> <p>Streamwise distance (meter), Heterogeneous reaction rate along the length of the reactor (mole per square meter per second)</p> <p>0 10.8203</p> <p>0.00025 10.9546</p> <p>0.0005 11.2153</p> <p>0.00075 11.4215</p> <p>0.001 11.5345</p> <p>0.00125 11.5606</p> <p>0.0015 11.5129</p> <p>0.00175 11.4049</p> <p>0.002 11.2484</p> <p>0.00225 11.0544</p> <p>0.0025 10.8331</p> <p>0.00275 10.5932</p> <p>0.003 10.3414</p> <p>0.00325 10.0835</p> <p>0.0035 9.82406</p> <p>0.00375 9.56646</p> <p>0.004 9.31349</p> <p>0.00425 9.06713</p> <p>0.0045 8.82918</p> <p>0.00475 8.60082</p> <p>0.005 8.3823</p> <p>0.00525 8.17379</p> <p>0.0055 7.97561</p> <p>0.00575 7.78777</p> <p>0.006 7.61007</p> <p>0.00625 7.44219</p> <p>0.0065 7.28392</p> <p>0.00675 7.13507</p> <p>0.007 6.99548</p> <p>0.00725 6.86493</p> <p>0.0075 6.74275</p> <p>0.00775 6.62832</p> <p>0.008 6.52152</p> <p>0.00825 6.42164</p> <p>0.0085 6.32835</p> <p>0.00875 6.24151</p> <p>0.009 6.16052</p> <p>0.00925 6.08491</p> <p>0.0095 6.01452</p> <p>0.00975 5.94897</p> <p>0.01 5.88786</p> <p>0.01025 5.83131</p> <p>0.0105 5.7787</p> <p>0.01075 5.72978</p> <p>0.011 5.68436</p> <p>0.01125 5.64228</p> <p>0.0115 5.60333</p> <p>0.01175 5.56712</p> <p>0.012 5.53346</p> <p>0.01225 5.5021</p> <p>0.0125 5.47301</p> <p>0.01275 5.44619</p> <p>0.013 5.42156</p> <p>0.01325 5.3988</p> <p>0.0135 5.37773</p> <p>0.01375 5.35853</p> <p>0.014 5.34102</p> <p>0.01425 5.32469</p> <p>0.0145 5.30957</p> <p>0.01475 5.29573</p> <p>0.015 5.28316</p> <p>0.01525 5.27177</p> <p>0.0155 5.26118</p> <p>0.01575 5.25136</p> <p>0.016 5.24246</p> <p>0.01625 5.23449</p> <p>0.0165 5.22729</p> <p>0.01675 5.22085</p> <p>0.017 5.21505</p> <p>0.01725 5.20996</p> <p>0.0175 5.20538</p> <p>0.01775 5.20125</p> <p>0.018 5.19797</p> <p>0.01825 5.195</p> <p>0.0185 5.19226</p> <p>0.01875 5.19015</p> <p>0.019 5.1885</p> <p>0.01925 5.18698</p> <p>0.0195 5.18558</p> <p>0.01975 5.18461</p> <p>0.02 5.18412</p> <p>0.02025 5.18363</p> <p>0.0205 5.18302</p> <p>0.02075 5.18277</p> <p>0.021 5.18289</p> <p>0.02125 5.1829</p> <p>0.0215 5.18274</p> <p>0.02175 5.18262</p> <p>0.022 5.18211</p> <p>0.02225 5.18139</p> <p>0.0225 5.1809</p> <p>0.02275 5.18047</p> <p>0.023 5.17976</p> <p>0.02325 5.17871</p> <p>0.0235 5.17765</p> <p>0.02375 5.17665</p> <p>0.024 5.17509</p> <p>0.02425 5.17287</p> <p>0.0245 5.17047</p> <p>0.02475 5.1679</p> <p>0.025 5.1648</p> <p>0.02525 5.16115</p> <p>0.0255 5.15706</p> <p>0.02575 5.15234</p> <p>0.026 5.14688</p> <p>0.02625 5.14071</p> <p>0.0265 5.13396</p> <p>0.02675 5.12621</p> <p>0.027 5.11737</p> <p>0.02725 5.10778</p> <p>0.0275 5.09726</p> <p>0.02775 5.08542</p> <p>0.028 5.07222</p> <p>0.02825 5.05787</p> <p>0.0285 5.04248</p> <p>0.02875 5.02603</p> <p>0.029 5.00788</p> <p>0.02925 4.98897</p> <p>0.0295 4.9649</p> <p>0.02975 4.88466</p> <p>0.03 4.81923</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>
Chemical reactors with enhanced heat transfer for conducting simultaneous endothermic and exothermic reactions
<p><strong>Chemical reactors with enhanced heat transfer for conducting simultaneous endothermic and exothermic reactions</strong></p> <p>Junjie Chen</p> <p>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>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com</p> <p> </p> <p>Many chemical processes utilize catalysts to enhance chemical conversion behavior. A catalyst promotes the rate of chemical conversion but does not affect the energy transformations which occur during the reaction. Often catalytic processes are conducted within tubes which are packed with a suitable catalytic substance. The process gas flows within the tube and contacts the catalytic packing where reaction proceeds. The tube is placed within a hot environment such as a furnace such that the energy for the process can be supplied through the tube wall via conduction. The mechanism for heat transfer with this arrangement is rather tortuous as heat must first be transferred through the outer boundary layer of the tube, conducted through the often-heavy gauge wall of the tube and then pass through the inner boundary layer into the process gas. The process gas is raised in temperature and this energy can be utilized by the process for chemical reaction. The process engineer is often caused to compromise between the pressure drop within the tube reactor with the overall heat transfer and catalytic effectiveness. The inner heat transfer coefficient can be effectively increased by raising the superficial velocity of the process gas. The higher gas velocity therefore improves the thermal effectiveness of the system. However, higher gas velocities increase the system's pressure drop and results in increased compressor sizes and associated operating costs.</p> <p>Streamwise distance (meters), Heat flux (watts per square meter)</p> <p>0 27306.2</p> <p>0.00025 124496</p> <p>0.0005 117728</p> <p>0.00075 106208</p> <p>0.001 94912</p> <p>0.00125 85088</p> <p>0.0015 76704</p> <p>0.00175 69488</p> <p>0.002 63200</p> <p>0.00225 57712</p> <p>0.0025 52832</p> <p>0.00275 48528</p> <p>0.003 44704</p> <p>0.00325 41264</p> <p>0.0035 38144</p> <p>0.00375 35344</p> <p>0.004 32912</p> <p>0.00425 30720</p> <p>0.0045 28688</p> <p>0.00475 26832</p> <p>0.005 25184</p> <p>0.00525 23664</p> <p>0.0055 22272</p> <p>0.00575 21056</p> <p>0.006 19952</p> <p>0.00625 18912</p> <p>0.0065 17936</p> <p>0.00675 17072</p> <p>0.007 16288</p> <p>0.00725 15568</p> <p>0.0075 14864</p> <p>0.00775 14240</p> <p>0.008 13728</p> <p>0.00825 13216</p> <p>0.0085 12752</p> <p>0.00875 12304</p> <p>0.009 11840</p> <p>0.00925 11472</p> <p>0.0095 11168</p> <p>0.00975 10832</p> <p>0.01 10448</p> <p>0.01025 10128</p> <p>0.0105 9952</p> <p>0.01075 9776</p> <p>0.011 9472</p> <p>0.01125 9232</p> <p>0.0115 9136</p> <p>0.01175 8832</p> <p>0.012 8640</p> <p>0.01225 8688</p> <p>0.0125 8576</p> <p>0.01275 8432</p> <p>0.013 8320</p> <p>0.01325 8192</p> <p>0.0135 8016</p> <p>0.01375 7904</p> <p>0.014 7840</p> <p>0.01425 7728</p> <p>0.0145 7648</p> <p>0.01475 7552</p> <p>0.015 7488</p> <p>0.01525 7440</p> <p>0.0155 7360</p> <p>0.01575 7312</p> <p>0.016 7248</p> <p>0.01625 7184</p> <p>0.0165 7104</p> <p>0.01675 7024</p> <p>0.017 6992</p> <p>0.01725 7008</p> <p>0.0175 7008</p> <p>0.01775 6928</p> <p>0.018 6880</p> <p>0.01825 6880</p> <p>0.0185 6800</p> <p>0.01875 6720</p> <p>0.019 6720</p> <p>0.01925 6704</p> <p>0.0195 6640</p> <p>0.01975 6592</p> <p>0.02 6624</p> <p>0.02025 6592</p> <p>0.0205 6496</p> <p>0.02075 6464</p> <p>0.021 6512</p> <p>0.02125 6528</p> <p>0.0215 6448</p> <p>0.02175 6384</p> <p>0.022 6384</p> <p>0.02225 6320</p> <p>0.0225 6272</p> <p>0.02275 6288</p> <p>0.023 6272</p> <p>0.02325 6240</p> <p>0.0235 6192</p> <p>0.02375 6224</p> <p>0.024 6224</p> <p>0.02425 6160</p> <p>0.0245 6112</p> <p>0.02475 6112</p> <p>0.025 6080</p> <p>0.02525 5984</p> <p>0.0255 5968</p> <p>0.02575 6016</p> <p>0.026 6016</p> <p>0.02625 5936</p> <p>0.0265 5888</p> <p>0.02675 5904</p> <p>0.027 5888</p> <p>0.02725 5824</p> <p>0.0275 5776</p> <p>0.02775 5760</p> <p>0.028 5696</p> <p>0.02825 5568</p> <p>0.0285 5552</p> <p>0.02875 5584</p> <p>0.029 5472</p> <p>0.02925 5344</p> <p>0.0295 5280</p> <p>0.02975 5280</p> <p>0.03 5280</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>
Microchannel steam reforming reactors with enhanced heat transfer for conducting simultaneous endothermic and exothermic reactions
<p><strong>Microchannel steam reforming reactors with enhanced heat transfer for conducting simultaneous endothermic and exothermic reactions</strong></p> <p>Junjie Chen</p> <p>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>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com</p> <p> </p> <p>It has been described a compact multiple tube steam reformer. The design consists of multiple packed tubes, of small diameter, being placed in intimate contact with a heat generating flame. The arrangement leads to improved heat transfer and therefore chemical conversion. However, the packed tube results in a significant pressure drop and the author states the process is still heat transfer limited. Therefore, a reactor design which minimizes the process side pressure drop and does not suffer from heat transfer limitation is required. It has been described a method to modify a monolithic structure into a combined heat exchanger reactor. The method describes the mechanical process to transform the structure into a structure consisting of two discrete volumes. It is proposed that the arrangement can either be used as a heat exchanger, where energy is transferred from one stream to another via conduction through the wall or it is suitable as a chemical reactor where the second set of channels allow the introduction of a heat transfer fluid. In the second case, the energy required or generated through the reaction is removed via a heat transfer fluid in the second channel. It is noted that the reaction can be a catalytic process and the catalytically active material can be coated onto the monolith passage walls to minimize pressure drop. In this arrangement, the heat transfer from the process catalyst to the dividing wall will be highly efficient, however, the uptake of the energy by the heat transfer fluid will suffer from all of the limitations of traditional heat transfer operations. In this case, the boundary layer will provide a significant resistance to heat transfer and will severely limit the rate of the process. Also, for this arrangement to successfully supply or remove heat and maintain a near isothermal longitudinal profile considerable heat transfer fluid velocities must be utilized. The high velocities will reduce the characteristic thickness of the boundary layer and ensure that a sufficient mass of heat transfer fluid is available to absorb the heat of reaction without significantly changing temperature. These requirements will lead to excessive pressure drop through the coolant channels. Therefore, a reactor design which minimizes the heat transfer fluid side pressure drop is required. The method does not teach about combining endothermic and exothermic reactions on opposing sides of dividing walls of adjacent channels as an efficient method of heat transfer.</p> <p>Streamwise distance (meters), Heat flux (watts per square meter)</p> <p>0 28082.8</p> <p>0.00025 139648</p> <p>0.0005 111616</p> <p>0.00075 93312</p> <p>0.001 81920</p> <p>0.00125 74112</p> <p>0.0015 68096</p> <p>0.00175 62976</p> <p>0.002 58752</p> <p>0.00225 55168</p> <p>0.0025 52096</p> <p>0.00275 49152</p> <p>0.003 46336</p> <p>0.00325 44032</p> <p>0.0035 41984</p> <p>0.00375 40064</p> <p>0.004 38400</p> <p>0.00425 36864</p> <p>0.0045 35328</p> <p>0.00475 33920</p> <p>0.005 32512</p> <p>0.00525 31360</p> <p>0.0055 30336</p> <p>0.00575 29184</p> <p>0.006 28288</p> <p>0.00625 27392</p> <p>0.0065 26496</p> <p>0.00675 25728</p> <p>0.007 24832</p> <p>0.00725 24192</p> <p>0.0075 23680</p> <p>0.00775 23040</p> <p>0.008 22400</p> <p>0.00825 21760</p> <p>0.0085 21376</p> <p>0.00875 21120</p> <p>0.009 20608</p> <p>0.00925 20224</p> <p>0.0095 19968</p> <p>0.00975 19456</p> <p>0.01 19072</p> <p>0.01025 18688</p> <p>0.0105 18432</p> <p>0.01075 18176</p> <p>0.011 17920</p> <p>0.01125 17792</p> <p>0.0115 17536</p> <p>0.01175 17280</p> <p>0.012 17024</p> <p>0.01225 16768</p> <p>0.0125 16640</p> <p>0.01275 16512</p> <p>0.013 16384</p> <p>0.01325 16256</p> <p>0.0135 16128</p> <p>0.01375 16000</p> <p>0.014 15872</p> <p>0.01425 15744</p> <p>0.0145 15488</p> <p>0.01475 15488</p> <p>0.015 15360</p> <p>0.01525 15104</p> <p>0.0155 15104</p> <p>0.01575 14976</p> <p>0.016 14848</p> <p>0.01625 14720</p> <p>0.0165 14720</p> <p>0.01675 14720</p> <p>0.017 14592</p> <p>0.01725 14336</p> <p>0.0175 14336</p> <p>0.01775 14464</p> <p>0.018 14336</p> <p>0.01825 14336</p> <p>0.0185 14336</p> <p>0.01875 14208</p> <p>0.019 14080</p> <p>0.01925 14080</p> <p>0.0195 14080</p> <p>0.01975 14080</p> <p>0.02 13952</p> <p>0.02025 13824</p> <p>0.0205 13824</p> <p>0.02075 13952</p> <p>0.021 13952</p> <p>0.02125 13824</p> <p>0.0215 13696</p> <p>0.02175 13568</p> <p>0.022 13568</p> <p>0.02225 13696</p> <p>0.0225 13696</p> <p>0.02275 13440</p> <p>0.023 13312</p> <p>0.02325 13440</p> <p>0.0235 13440</p> <p>0.02375 13312</p> <p>0.024 13312</p> <p>0.02425 13312</p> <p>0.0245 13312</p> <p>0.02475 13184</p> <p>0.025 13056</p> <p>0.02525 13056</p> <p>0.0255 13056</p> <p>0.02575 12800</p> <p>0.026 12672</p> <p>0.02625 12800</p> <p>0.0265 12672</p> <p>0.02675 12544</p> <p>0.027 12544</p> <p>0.02725 12288</p> <p>0.0275 12160</p> <p>0.02775 12160</p> <p>0.028 12032</p> <p>0.02825 12032</p> <p>0.0285 11904</p> <p>0.02875 11776</p> <p>0.029 11648</p> <p>0.02925 11520</p> <p>0.0295 11392</p> <p>0.02975 11008</p> <p>0.03 10624</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>
Simulation data associated to the manuscript "Controlling the Hydrophilicity of the Electrochemical Interface to Modulate the Oxygen-Atom Transfer in Electrocatalytic Epoxidation Reactions"
<p>Contains input files used to perform the simulations of the article:</p> <p>Controlling the Hydrophilicity of the Electrochemical Interface to Modulate the Oxygen-Atom Transfer in Electrocatalytic Epoxidation Reactions</p> <p>Florian Dorchies, Alessandra Serva, Dorian Crevel, Jérémy de Freitas, Nikolaos Kostopoulos, Marc Robert, Ozlem Sel, Mathieu Salanne and Alexis Grimaud<br> *ChemRxiv*, 2022</p> <p>https://doi.org/ 10.26434/chemrxiv-2022-wjsbs-v2</p> <p>Each folder contains 2 input files for MetalWalls, which is available [here](https://gitlab.com/ampere2/metalwalls). The corresponding systems are the following:</p> <ul> <li>Bulk liquids: <ul> <li>Acetonitrile - water - LiClO4</li> <li>Acetonitrile - water - LiClO4 with cyclooctene</li> <li>Acetonitrile - water - TBAClO4</li> <li>Acetonitrile - water - TBAClO4 with cyclooctene</li> </ul> </li> <li>Liquids in contact with gold electrodes: <ul> <li>Acetonitrile - water - LiClO4</li> <li>Acetonitrile - water - LiClO4 with cyclooctene</li> <li>Acetonitrile - water - TBAClO4</li> <li>Acetonitrile - water - TBAClO4 with cyclooctene</li> </ul> </li> </ul>
Raw data of Monte Carlo (MC) simulations of the transfer Cr flux during abyssal peridotites marine alteration
<p>Raw data of Monte Carlo (MC) simulations were performed, and this MC model is used to quantitatively assess the net transfer flux of Cr between abyssal peridotites and seawater. Given that there are large uncertainties in the parameters. Two thousand MC model runs were performed using randomly selected values of model variables.</p>
Data for "Ceramide-1-phosphate transfer protein enhances lipid transport by disrupting hydrophobic lipid–membrane contacts"
<p>Data for "Ceramide-1-phosphate transfer protein enhances lipid transport by disrupting hydrophobic lipid–membrane contacts" by Julia R Rogers and Phillip L Geissler (<a href="https://doi.org/10.1371/journal.pcbi.1010992">Rogers, J. R.; Geissler, P. L. <em>PLoS Comput. Biol.</em> <strong>2023</strong>, <em>19</em>, e1010992</a>; bioRxiv DOI: https://doi.org/10.1101/2022.09.10.507427). All input coordinates, topologies, and parameter files in addition to equilibrium simulation trajectories and analysis results are provided.</p>
Atlantic salmon (Salmo salar) transfer to seawater by gradual salinity changes exhibited an increase in the intestinal microbial abundance and richness data
<p>The host's physiological history and environment determine the microbiome structure. In that sense, the strategy used for the salmon transfer to seawater after parr-smolt transformation may influence the Atlantic salmon’s intestinal microbiota. Therefore, this study aimed to explore the diversity and abundance of the Atlantic salmon intestinal microbiota and metagenome functional prediction during seawater transfer under three treatments. One group was exposed to gradual salinity change (GSC), the other to salinity shock (SS), and the third was fed with a functional diet (FD) before the seawater (SW) transfer. The microbial profile was assessed through full-16S rRNA gene sequencing using the Nanopore platform. In addition, metagenome functional prediction was performed using PICRUSt2. The results showed an influence of salinity changes on Atlantic salmon gut microbiota richness, diversity, and taxonomic composition. The findings reveal that GSC and the FD increased the Atlantic salmon smolt microbiota diversity, suggesting a positive association between the intestinal microbial community and fish health during seawater transfer. The reported knowledge can be applied to surveil the microbiome in smolt fish production, improving the performance of Atlantic salmon to seawater transfer.</p>
Dataset for 'Effects of bubble plumes on lake dynamics, near-bottom turbulence, and transfer of dissolved oxygen at the sediment-water interface'
<p>The dataset associated with the article "Effects of bubble plumes on lake dynamics, near-bottom turbulence, and transfer of dissolved oxygen at the sediment-water interface". </p>
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>
SourceData for "Correlating the charge transfer gap to the maximum transition temperature in Bi2Sr2Can-1CunO2n+4+x"
<p>SourceData for "Correlating the charge transfer gap to the maximum transition temperature in Bi2Sr2Can-1CunO2n+4+x"</p>
Adoptive Immune Transfer from Donors Offers Anti-HBV Protection to HBsAb Negative Patients After Allo-HSCT
<p>Original data of the manuscript of "Adoptive Immune Transfer from Donors Offers Anti-HBV Protection to HBsAb Negative Patients After Allo-HSCT " which published in iScience.</p>
RT Dataset -- Updated radiative transfer model for Titan in the near-infrared wavelength range: Validation against Huygens atmospheric and surface measurements and application to the Cassini/VIMS observations of the Dragonfly landing area
<p>This dataset contains all Radiative Transfer (RT) results made for the paper.</p> <p>The data are stored in 5 zipped-folders names with the Cassini/VIMS cube flyby and id, or explicitly for Huygens/ULIS calibrated observations:</p> <ul> <li>TB_C1481624349_1</li> <li>T40_C1578266417_1</li> <li>T38_C1575509158_1</li> <li>T40_C1578263500_1</li> <li>T40_C1578263152_1</li> <li>ULIS_observations</li> </ul> <p>The TB_C1481624349_1 folder contains the Cassini/VIMS cube over HLS, the HLS end-member (End_member.txt), the surface albedo retrieved by Karkoschka et al. (2016) corrected for the photometry (HLS_Karkoschka_2016_spectrum.txt), and the inverted surface albedo (Surface_albedo.txt).</p> <p>In these folders, each VIMS pixel is stored in a .txt file with the following pattern:</p> <p><CUBE_ID>_<PIXEL_SAMPLE>_<PIXEL_LINE> .txt</p> <p>It starts with a header describing the observation: </p> <ul> <li>CUBE_ID: the VIMS cube id (`C1234567890_1` format)</li> <li>SAMPLE: the pixel sample number.</li> <li>LINE: the pixel line number.</li> <li>LONG: the pixel longitude (in degree).</li> <li>LAT: the pixel latitude (in degree).</li> <li>INC: the surface incident angle (in degree).</li> <li>EMI: the surface emergent angle (in degree).</li> <li>PHASE: the surface phase angle (in degree).</li> </ul> <p>For the Selk crater cubes (T40_C1578266417_1, T38_C1575509158_1, T40_C1578263500_1, T40_C1578263152_1), the header also contains the spatial sampling and the radiative transfer model outputs: </p> <ul> <li>Spatial sampling (km/pix).</li> <li>Fh: the haze scaling factor.</li> <li>Fm: the mist scaling factor.</li> <li>1-sigma (Fh): the 1-sigma uncertainty on Fh.</li> <li>1-sigma (Fm): the 1-sigma uncertainty on Fm.</li> <li>Reduced chi2: the reduced chi2. </li> </ul> <p>Then contains the observed spectra:</p> <ul> <li>Column 1: the VIMS channel central wavelength (in micrometers).</li> <li>Column 2: the VIMS pixel I/F.</li> <li>Column 3: the VIMS pixel I/F 1-sigma uncertainty. </li> </ul> <p>For the Selk crater cubes (T40_C1578266417_1, T38_C1575509158_1, T40_C1578263500_1, T40_C1578263152_1), 3 columns are added for: </p> <ul> <li>Column 4: the surface albedo.</li> <li>Column 5: the upper 1-sigma uncertainty on the surface albedo.</li> <li>Column 6 : the lower 1-sigma uncertainty on the surface albedo.</li> </ul> <p>The ULIS folder contains the Huygens/ULIS calibrated observations (in I/F) and the simulations with 1-sigma uncertainties as a function of the altitude (in km):</p> <ul> <li>Column 1: the VIMS channel central wavelength (in micrometers), stopped at the end of the Huygens/ULIS wavelength range.</li> <li>Column 2: the ULIS I/F.</li> <li>Column 3 : the simulated I/F.</li> <li>Column 4: the lower 1-sigma uncertainty on the simulation.</li> <li>Column 5 : the upper 1-sigma uncertainty on the simulation.</li> </ul>
Training, Validation and Test Sets for paper 'A Little Data goes a Long Way: Automating Seismic Phase Arrival Picking at Nabro Volcano with Transfer Learning'
<p>Training, Validation and Test Data for model presented in paper 'A Little Data Goes A Long Way: Automating Seismic Phase Arrival Picking at Nabro Volcano with Transfer Learning', submitted to Journal of Geophysical Research: Solid Earth.</p> <p>Files:</p> <p>- train_events_2498.h5 = training set of seismic waveforms (events with P-/S-wave labelled arrivals only, i.e., no noise waveforms)</p> <p>- train_events_2498.pkl = event training set metadata (UTC P-/S-wave phase arrival times)</p> <p>- train_noise_2498.h5 = training set of seismic waveforms (noise sections only, i.e., no event waveforms)</p> <p>- train_noise_2498.pkl = noise training set metadata (UTC time for training noise waveforms)</p> <p>- val_events.h5 = validation set of seismic waveforms (events with P-/S-wave labelled arrivals only, i.e., no noise waveforms)</p> <p>- val_events.pkl = event validation set metadata (UTC P-/S-wave phase arrival times)</p> <p>- val_noise.h5 = validation set of seismic waveforms (noise sections only, i.e., no event waveforms)</p> <p>- val_noise.pkl = noise validation set metadata (UTC time for validation noise waveforms)</p> <p>- test.h5 = test set of seismic waveforms (events and noise)</p> <p>- test_events.pkl = event test set metadata (UTC P-/S-wave phase arrival times for test event waveforms)</p> <p>- test_noise.pkl = noise test set metadata (UTC time for test noise waveforms)</p> <p>- nabro_2011-247.mseed = 24 hours seismic data from Nabro Urgency Array (2011-09-04), saved in mseed format (e.g., can be read with obspy)</p> <p>- nabro_2011-269.mseed = 24 hours seismic data from Nabro Urgency Array (2011-09-26), saved in mseed format (e.g., can be read with obspy)</p> <p> </p> <p>Further details and code for reading and using these files can be found at the GitHub repo for this paper: <a href="https://github.com/sachalapins/U-GPD">https://github.com/sachalapins/U-GPD</a></p> <p> </p>
Open data for publication: Advanced catalyst for CO2 photo-reduction: From controllable product selectivity by architecture engineering to improving charge transfer using stabilized Au clusters
<p>Original data for publication: Advanced catalyst for CO2 photo-reduction: From controllable product selectivity by architecture engineering to improving charge transfer using stabilized Au clusters, published in Small, 2023.</p> <p>The dataset is organized according to the Figures in the manuscript.</p>
Information transfer in mammalian glycan-based communication
<p>Glycan-binding proteins, so-called lectins, are exposed on mammalian cell surfaces and decipher the information encoded within glycans translating it into biochemical signal transduction pathways in the cell. These glycan-lectin communication pathways are complex and difficult to analyze. However, quantitative data with single <span class="ins cts-3">-</span>cell resolution provide means to disentangle the associated signaling cascades. We chose C-type lectin receptors (<span class="jrnlPatterns">CTLs</span>) expressed on immune cells as a model system to study their capacity to transmit information encoded in glycans of incoming particles. In particular, we used <span class="del cts-4">NF-κB</span><span class="ins cts-4">nuclear factor kappa-B</span>-reporter cell lines expressing <span class="ins cts-4">DC-specific ICAM-3–grabbing nonintegrin<span class="ins cts-7"> <span class="ins cts-7">(DC-SIGN)</span></span></span><span class="del cts-4">DC-SIGN</span>, <span class="ins cts-4">macrophage C-type lectin (</span>MCL<span class="ins cts-4">)</span>, dectin-1, dectin-2, and <span class="del cts-4">mincle</span><span class="ins cts-4">macrophage-inducible C-type lectin<span class="ins cts-6"> (MINCLE)</span></span>, as well as TNFαR and TLR-1<span class="jrnlPatterns">&</span><span class="jrnlPatterns">2</span> in monocytic cell lines and compared their transmission of glycan-encoded information. All receptors <span class="del cts-7">did </span>transmit information with similar signaling capacity, except dectin-2. This lectin was identified to <span class="ins cts-3">be </span>less efficient in information transmission compared to the other CTLs<span class="ins cts-3">,</span> and even wh<span class="del cts-7">ile </span><span class="ins cts-7">en </span>the sensitivity of the dectin-2 pathway was enhanced by overexpression of its co-receptor FcRγ, its transmitted information was not. Next, we expanded our investigation toward<span class="del cts-3">s</span> the integration of multiple signal transduction pathways including synergistic lectins, which is crucial during pathogen recognition. We show how the signaling capacity of lectin receptors using a similar signal transduction pathway (dectin-1 and dectin-2) <span class="del cts-3">are</span><span class="ins cts-3">is</span> being integrated by compromising between the lectins. In contrast, co-expression of MCL synergistically enhanced the dectin-2 signaling capacity, particularly at low <span class="ins cts-3">-</span>glycan stimulant concentration. By using dectin-2 and other lectins as examples, we demonstrate how signaling capacity of dectin-2 is modulated in the presence of other lectins<span class="ins cts-3">,</span> and therefore<span class="ins cts-3">,</span> the findings provide insight into how immune cells translate glycan information using</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.