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31 results for “chemical processing”
Data Associated with Chemical Cartography with APOGEE: Two-process Parameters and Residual Abundances for 288,789 Stars from Data Release 17
<p>Stellar abundance measurements are subject to systematic errors that induce extra scatter and artificial correlations in elemental abundance patterns. We derive empirical calibration offsets to remove systematic trends with surface gravity log(g) in 17 elemental abundances of 288,789 evolved stars from the SDSS APOGEE survey. We fit these corrected abundances as the sum of a prompt process tracing core-collapse supernovae and a delayed process tracing Type Ia supernovae, thus recasting each star's measurements into the amplitudes A_cc and A_Ia and the element-by-element residuals from this two-parameter fit. Here we present the log(g)-calibrated abundances, fit parameters, process amplitudes, and element-by-element abundance residuals of 288,789 stars (310,427 spectra) in APOGEE DR17 that accompany <a href="https://arxiv.org/abs/2403.08067" target="_blank" rel="noopener">the paper</a>.</p> <p>calibration_values_final.dat contains all derived calibration offsets, including the grids of log(g) calibration offsets and zero-point offsets for two-process model analysis. The first five rows of this catalog are reproduced in Table 2 of the paper.</p> <p>logg_calib_example.ipynb is a Jupyter notebook containing Python code to load calibration_values_final.dat, extract the log(g) calibration offsets for specific element, and apply calibration offsets to 10 sample stars.</p> <p>2process_residual_abund_catalog_final.fits is the catalog of 310,427 APOGEE DR17 spectra (288,789 unique stars) containing calibrated abundances, two-process fit parameters, and abundance residuals. A full listing of columns in this catalog is given in Table 5 of the paper.</p> <p>catalog_examples.ipynb is a Jupyter notebook containing Python code to load 2process_residual_abund_catalog_final.fits, cross match with other catalogs (using AstroNN and the APOGEE DR17 Globular Cluster Value-Added Catalog as examples), and make some example plots utilizing the cross-matched data.</p>
Multiscale continuum figures from Tratnyek et al. (2017) "In silico environmental chemical science: Properties and processes from statistical and computational modelling"
<p>Accessible versions of selected figures from Tratnyek et al. (2017) "In silico environmental chemical science: Properties and processes from statistical and computational modelling" Environ. Sci. Processes Impacts 19(3): 188-202. DOI: 10.1039/C7EM00053G.</p> <p>The Abstract Art figure shows a classification of variables for predictive/diagnostic models used in silico environmental chemical science, in terms of system scales and variable types. Figure 3 shows a continuum of system scales encompassing the whole scope of predictive/diagnostic modelling for in silico environmental chemical sciences, juxtaposing earth and biological scales.</p> <p>The published version of Figure 3 is tall, for two-column page-layouts, but a wide version of Figure 3 is provided for landscape oriented formats. The 300 dpi versions of each figure should be adequate resolution for most purposes, and therefore are recommended. The large versions of the figures may take significant time to download, but may be useful for high resolution applications.</p> <p>This work is from the perspectives/review paper at the beginning of a themed issue on "Quantitative Structure-Activity Relationships (QSARs) and Computational Chemistry Methods in the Environmental Chemical Sciences", published in the March 2017 issue of the Royal Society of Chemistry journal Environmental Sciences: Process and Impacts. The whole collection of papers can be accessed at rsc.li/qsars.</p>
Dataset of the publication: Sublimable complexes with spin switching: Chemical design, processing as thin films and integration in graphene-based devices
<p>Dataset of the publication: Sublimable complexes with spin switching: Chemical design, processing as thin films and integration in graphene-based devices</p> <p>DOI: 10.1039/d2tc04120k</p> <p>M. Guevara-Edo, F. J. Valverde-Muñoz, R. Cordoba, M. C. Muñoz, J. Herrero-Martín, J. A. Real, E. Coronado</p> <p>J. Mater. Chem. C, 11, 24, 8107-8120 (2023)</p>
REFLOW - Dataset for the report on P cycling and physico-chemical processes after fertilizer additions
<p>This data set contains daily phosphorus (P) turnover values in soils amended with recycled and mineral P fertilisers</p>
Underlying data for Slimani et al. Identification of dominant hydrogeochemical processes for groundwaters in the Algerian Sahara supported by inverse modeling of chemical and isotopic data
<p>The data hereafter underlie the paper by Slimani et al. doi:10.5194/hess-20-1-2016,</p> <p>appeared to Hydrol. Earth Syst. Sci., 20, 1-23, 2016.</p> <p> </p> <p> </p> <p>1. File Tableaux_data.xls</p> <p> </p> <p>This is an Excel sheet file. It contains:</p> <p>- raw analytical data, mostly in mg/L;</p> <p>- data converted in mmol/L;</p> <p>- data corrected from the defect of cations - anions balance; the correction is made proportionally.</p> <p>- the previous data completed with logarithms of activities, computed by Phreeqc, </p> <p>for calcium, sulfate, carbonate and water; those data are used to plot equilibrium diagrams for calcite and gypsum (figure 6);</p> <p>- for Phreatic aquifer only, saturation indexes for halite, anhydrite, calcite, dolomite and gypsum, along with distance from south to north, used in figure 7.</p> <p>2. Directory Phreeqc_res</p> <p>Contains the input file with all samples from CI, CT and Phr in a single file, and the selected output file.</p> <p>All calculations were made with version phreeqc-3.1.2 and database sit.dat.</p> <p>3. Directory Inverse models</p> <p>This directory contains inverse models for computing transformations:</p> <p>- from CI (average) to CT (average):</p> <p>- from CT (average) to Phr (pole I, average);</p> <p>- from pure water to Phr (pole II, sample P036);</p> <p>- for mixing Phr pole I and II, and try to explain a sample typical of medium mixing ratio, sample P068.</p>
Human health impact based on adult European consumers' dietary exposure to chemical contaminants and consumption of unprocessed red meat, processed meat, and legumes
<p>This dataset was generated within the PRISMA project (Marie Skłodowska-Curie Grant Agreement No. 101110615) for assessing the health impact for adult consumers from 25 European countries due to dietary exposure to chemical contaminants and consumption of food based on different dietary patterns.</p><p>The risk coefficients used to generate data are presented in Table S1.</p><p>File S2 presents the health impact based on the chronic dietary exposure to chemical contaminants for each country.</p><p>File S3 presents figures regarding the health impact for each country for adult consumers due to dietary exposure to chemical contaminants and consumption of food based on different dietary patterns.</p><p>File S4 presents the health impact based on the consumption of unprocessed red meat, processed meat, and legumes for each country.</p><p> </p>
Processed data for the study on "Observation of site-selective chemical bond changes via ultrafast chemical shifts"
<p>This repository contains the underlying data for the paper entitled "Observation of site-selective chemical bond changes via ultrafast chemical shifts". The uploaded data are preprocessed data measured at the LCLS SLAC facility. Each individual file contains the measurements at a set delay time and spectrometer setting on a shot-by-shot basis.</p> <p>The files contain the following keys:</p> <pre>['Ebeam_energy_MeV', 'Electron_orbit_probe_x', 'Electron_orbit_probe_y', 'Electron_orbit_pump_x', 'Electron_orbit_pump_y', 'Fiducial', 'Fit_quality', 'Gas_monitor_mJ', 'Group', 'N_electrons', 'Photon_energy_FEL_eV', 'Probe_energy_xtcav', 'Probe_pulse_energy_mJ', 'Probe_width_fs', 'Pump_energy_xtcav', 'Pump_pulse_energy_mJ', 'Pump_width_fs', 'TOF_CO_yield', 'TOF_Ne_yield', 'Time_delay_XTCAV']</pre> <p>Description of the individual entries is found in the supplementary materials of the publication. The following table assigns the time delay and measure electron kinetic energy for each dataset.</p> <table> <tbody> <tr> <td>Time delay</td> <td>Ek = 234eV</td> <td>Ek = 220eV</td> <td>Ek = 210eV</td> </tr> <tr> <td>40fs</td> <td>Run_210</td> <td>Run_212</td> <td>Run_213</td> </tr> <tr> <td>20fs</td> <td>Run_231</td> <td>Run_236</td> <td>Run_235</td> </tr> <tr> <td>15fs</td> <td>Run_239</td> <td>Run_242</td> <td>Run_241</td> </tr> <tr> <td>10fs</td> <td>Run_238</td> <td>Run_233</td> <td>Run_234</td> </tr> <tr> <td>5fs</td> <td>Run_228</td> <td>Run_226</td> <td>Run_225</td> </tr> <tr> <td>0</td> <td>Run_221</td> <td>Run_223</td> <td>Run_224</td> </tr> <tr> <td>-5fs</td> <td>Run_217</td> <td>Run_219</td> <td>Run_220</td> </tr> </tbody> </table> <p> </p>
Process intensification in a chemical reactor with enhanced mass transfer for hydrogen production
<p><strong>Process intensification in a chemical reactor with enhanced 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>Chemical synthesis is concerned with the construction of complex chemical compounds from simpler ones. A synthesis usually is undertaken for one of three reasons. The first reason is to meet an industrial demand for a product. For example, ammonia is synthesized from nitrogen and hydrogen and is used to make, among other things, ammonium sulfate, employed as a fertilizer; vinyl chloride is made from ethylene and is used in the production of polyvinyl chloride plastic. In general, a vast range of chemical compounds are synthesized for applications. Second, an enormous number of compounds of considerable molecular complexity occur naturally. The syntheses of these natural products have usually been undertaken in the context of the determination of the structures of the compounds; if a material is deduced to have a particular structure on the basis of its chemical reactions and physical properties, then the discovery that a compound synthesized by an unambiguous method for this structure is identical to the natural product provides confirmation of the validity of the assigned structure. Third, a synthesis may be carried out to obtain a compound of specific structure that does not occur naturally and has not previously been made. This type of synthesis is performed in order to examine the properties of the compound and thereby test theories of chemical structure and reactivity.</p> <p>Streamwise distance (millimeters), Wall centerline temperature (degrees kelvin)</p> <p>0 501.211</p> <p>0.00025 501.158</p> <p>0.0005 500.999</p> <p>0.00075 500.714</p> <p>0.001 500.254</p> <p>0.00125 499.764</p> <p>0.0015 499.441</p> <p>0.00175 499.3</p> <p>0.002 499.307</p> <p>0.00225 499.312</p> <p>0.0025 499.195</p> <p>0.00275 498.964</p> <p>0.003 498.605</p> <p>0.00325 498.22</p> <p>0.0035 497.936</p> <p>0.00375 497.767</p> <p>0.004 497.696</p> <p>0.00425 497.643</p> <p>0.0045 497.535</p> <p>0.00475 497.367</p> <p>0.005 497.127</p> <p>0.00525 496.875</p> <p>0.0055 496.695</p> <p>0.00575 496.597</p> <p>0.006 496.57</p> <p>0.00625 496.556</p> <p>0.0065 496.505</p> <p>0.00675 496.414</p> <p>0.007 496.275</p> <p>0.00725 496.132</p> <p>0.0075 496.044</p> <p>0.00775 496.017</p> <p>0.008 496.045</p> <p>0.00825 496.079</p> <p>0.0085 496.078</p> <p>0.00875 496.046</p> <p>0.009 495.978</p> <p>0.00925 495.91</p> <p>0.0095 495.887</p> <p>0.00975 495.916</p> <p>0.01 495.987</p> <p>0.01025 496.057</p> <p>0.0105 496.093</p> <p>0.01075 496.099</p> <p>0.011 496.076</p> <p>0.01125 496.056</p> <p>0.0115 496.073</p> <p>0.01175 496.134</p> <p>0.012 496.231</p> <p>0.01225 496.323</p> <p>0.0125 496.38</p> <p>0.01275 496.409</p> <p>0.013 496.413</p> <p>0.01325 496.421</p> <p>0.0135 496.462</p> <p>0.01375 496.541</p> <p>0.014 496.652</p> <p>0.01425 496.755</p> <p>0.0145 496.824</p> <p>0.01475 496.865</p> <p>0.015 496.886</p> <p>0.01525 496.912</p> <p>0.0155 496.967</p> <p>0.01575 497.057</p> <p>0.016 497.176</p> <p>0.01625 497.286</p> <p>0.0165 497.362</p> <p>0.01675 497.414</p> <p>0.017 497.448</p> <p>0.01725 497.486</p> <p>0.0175 497.553</p> <p>0.01775 497.65</p> <p>0.018 497.773</p> <p>0.01825 497.887</p> <p>0.0185 497.968</p> <p>0.01875 498.026</p> <p>0.019 498.069</p> <p>0.01925 498.117</p> <p>0.0195 498.191</p> <p>0.01975 498.292</p> <p>0.02 498.416</p> <p>0.02025 498.53</p> <p>0.0205 498.614</p> <p>0.02075 498.677</p> <p>0.021 498.727</p> <p>0.02125 498.781</p> <p>0.0215 498.859</p> <p>0.02175 498.96</p> <p>0.022 499.08</p> <p>0.02225 499.19</p> <p>0.0225 499.272</p> <p>0.02275 499.334</p> <p>0.023 499.385</p> <p>0.02325 499.44</p> <p>0.0235 499.514</p> <p>0.02375 499.608</p> <p>0.024 499.718</p> <p>0.02425 499.818</p> <p>0.0245 499.892</p> <p>0.02475 499.948</p> <p>0.025 499.992</p> <p>0.02525 500.039</p> <p>0.0255 500.1</p> <p>0.02575 500.178</p> <p>0.026 500.268</p> <p>0.02625 500.349</p> <p>0.0265 500.407</p> <p>0.02675 500.448</p> <p>0.027 500.477</p> <p>0.02725 500.506</p> <p>0.0275 500.545</p> <p>0.02775 500.596</p> <p>0.028 500.656</p> <p>0.02825 500.708</p> <p>0.0285 500.741</p> <p>0.02875 500.757</p> <p>0.029 500.759</p> <p>0.02925 500.755</p> <p>0.0295 500.754</p> <p>0.02975 500.757</p> <p>0.03 500.759</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>
Process intensification in a methanol steam reforming chemical reactor with enhanced momentum transport
<p><strong>Process intensification in a methanol steam reforming chemical reactor with enhanced momentum transport</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>Consideration must be given to the rate at which each step in the planned sequence occurs. In many instances, a desired reaction is possible in principle but in practice takes place so slowly as to be ineffective. It is then necessary to investigate whether the rate can be increased to a practicable level by altering the conditions of the reaction, for example, by raising the temperature or by adding an extra species, called a catalyst, that increases the rate without altering the course of the reaction.</p> <p>Streamwise distance (millimeters), Oxidation channel centerline temperature (degrees kelvin)</p> <p>0 376.499</p> <p>0.00025 391.55</p> <p>0.0005 411.347</p> <p>0.00075 432.857</p> <p>0.001 451.349</p> <p>0.00125 465.437</p> <p>0.0015 475.536</p> <p>0.00175 482.591</p> <p>0.002 487.466</p> <p>0.00225 490.805</p> <p>0.0025 493.063</p> <p>0.00275 494.556</p> <p>0.003 495.508</p> <p>0.00325 496.074</p> <p>0.0035 496.366</p> <p>0.00375 496.469</p> <p>0.004 496.424</p> <p>0.00425 496.278</p> <p>0.0045 496.077</p> <p>0.00475 495.832</p> <p>0.005 495.555</p> <p>0.00525 495.26</p> <p>0.0055 494.955</p> <p>0.00575 494.646</p> <p>0.006 494.337</p> <p>0.00625 494.033</p> <p>0.0065 493.735</p> <p>0.00675 493.445</p> <p>0.007 493.164</p> <p>0.00725 492.894</p> <p>0.0075 492.635</p> <p>0.00775 492.386</p> <p>0.008 492.15</p> <p>0.00825 491.925</p> <p>0.0085 491.712</p> <p>0.00875 491.511</p> <p>0.009 491.323</p> <p>0.00925 491.146</p> <p>0.0095 490.98</p> <p>0.00975 490.825</p> <p>0.01 490.682</p> <p>0.01025 490.549</p> <p>0.0105 490.427</p> <p>0.01075 490.314</p> <p>0.011 490.212</p> <p>0.01125 490.119</p> <p>0.0115 490.036</p> <p>0.01175 489.96</p> <p>0.012 489.893</p> <p>0.01225 489.833</p> <p>0.0125 489.781</p> <p>0.01275 489.737</p> <p>0.013 489.699</p> <p>0.01325 489.668</p> <p>0.0135 489.643</p> <p>0.01375 489.624</p> <p>0.014 489.61</p> <p>0.01425 489.603</p> <p>0.0145 489.6</p> <p>0.01475 489.601</p> <p>0.015 489.607</p> <p>0.01525 489.618</p> <p>0.0155 489.632</p> <p>0.01575 489.651</p> <p>0.016 489.673</p> <p>0.01625 489.699</p> <p>0.0165 489.728</p> <p>0.01675 489.76</p> <p>0.017 489.796</p> <p>0.01725 489.834</p> <p>0.0175 489.875</p> <p>0.01775 489.918</p> <p>0.018 489.964</p> <p>0.01825 490.012</p> <p>0.0185 490.063</p> <p>0.01875 490.115</p> <p>0.019 490.169</p> <p>0.01925 490.225</p> <p>0.0195 490.283</p> <p>0.01975 490.343</p> <p>0.02 490.404</p> <p>0.02025 490.467</p> <p>0.0205 490.531</p> <p>0.02075 490.597</p> <p>0.021 490.663</p> <p>0.02125 490.731</p> <p>0.0215 490.8</p> <p>0.02175 490.869</p> <p>0.022 490.94</p> <p>0.02225 491.011</p> <p>0.0225 491.083</p> <p>0.02275 491.155</p> <p>0.023 491.228</p> <p>0.02325 491.301</p> <p>0.0235 491.374</p> <p>0.02375 491.448</p> <p>0.024 491.521</p> <p>0.02425 491.595</p> <p>0.0245 491.668</p> <p>0.02475 491.741</p> <p>0.025 491.813</p> <p>0.02525 491.885</p> <p>0.0255 491.955</p> <p>0.02575 492.025</p> <p>0.026 492.094</p> <p>0.02625 492.161</p> <p>0.0265 492.228</p> <p>0.02675 492.292</p> <p>0.027 492.355</p> <p>0.02725 492.415</p> <p>0.0275 492.474</p> <p>0.02775 492.529</p> <p>0.028 492.583</p> <p>0.02825 492.633</p> <p>0.0285 492.68</p> <p>0.02875 492.724</p> <p>0.029 492.764</p> <p>0.02925 492.801</p> <p>0.0295 492.832</p> <p>0.02975 492.863</p> <p>0.03 492.881</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>
Process intensification in a chemical reactor with enhanced heat exchange
<p><strong>Process intensification in a chemical reactor with enhanced heat exchange</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, in chemical engineering, is a device or vessel within which chemical processes are carried out for experimental or manufacturing purposes. Reactors range in size and complexity from small, open kettles fitted with simple stirrers and heaters to large, elaborate vessels equipped with jackets or internal coils for heating or cooling, nozzles or ports for adding and removing materials, sources of ultraviolet radiation or electrical energy, specially designed agitators or scrapers, and strong walls and tight seals to permit operation at high or low pressures. In many cases, these reactors are provided with instruments that measure temperature, pressure, pH, or other properties of the contents. They are constructed of materials selected for strength and resistance to attack by the substances being processed. For certain processes that are particularly adaptable to continuous operation, reactors are devised so that the chemical reaction may continue for weeks or months while starting materials are introduced continuously or intermittently and the finished product is removed in a steady stream or in periodic discharges. Scale of temperature is a methodology of calibrating the physical quantity temperature in metrology. Empirical scales measure temperature in relation to convenient and stable parameters, such as the freezing and boiling point of water. Absolute temperature is based on thermodynamic principles: using the lowest possible temperature as the zero point, and selecting a convenient incremental unit.</p> <p>Streamwise distance (millimeters), Wall centerline temperature (degrees kelvin)</p> <p>0 498.195</p> <p>0.00025 498.22</p> <p>0.0005 498.261</p> <p>0.00075 498.266</p> <p>0.001 498.214</p> <p>0.00125 498.105</p> <p>0.0015 497.946</p> <p>0.00175 497.745</p> <p>0.002 497.508</p> <p>0.00225 497.244</p> <p>0.0025 496.958</p> <p>0.00275 496.655</p> <p>0.003 496.34</p> <p>0.00325 496.017</p> <p>0.0035 495.69</p> <p>0.00375 495.362</p> <p>0.004 495.035</p> <p>0.00425 494.711</p> <p>0.0045 494.392</p> <p>0.00475 494.081</p> <p>0.005 493.776</p> <p>0.00525 493.48</p> <p>0.0055 493.194</p> <p>0.00575 492.917</p> <p>0.006 492.651</p> <p>0.00625 492.395</p> <p>0.0065 492.151</p> <p>0.00675 491.917</p> <p>0.007 491.694</p> <p>0.00725 491.483</p> <p>0.0075 491.283</p> <p>0.00775 491.094</p> <p>0.008 490.917</p> <p>0.00825 490.751</p> <p>0.0085 490.596</p> <p>0.00875 490.451</p> <p>0.009 490.318</p> <p>0.00925 490.194</p> <p>0.0095 490.081</p> <p>0.00975 489.978</p> <p>0.01 489.883</p> <p>0.01025 489.798</p> <p>0.0105 489.721</p> <p>0.01075 489.652</p> <p>0.011 489.591</p> <p>0.01125 489.538</p> <p>0.0115 489.492</p> <p>0.01175 489.453</p> <p>0.012 489.421</p> <p>0.01225 489.395</p> <p>0.0125 489.374</p> <p>0.01275 489.36</p> <p>0.013 489.35</p> <p>0.01325 489.346</p> <p>0.0135 489.347</p> <p>0.01375 489.353</p> <p>0.014 489.362</p> <p>0.01425 489.376</p> <p>0.0145 489.394</p> <p>0.01475 489.415</p> <p>0.015 489.44</p> <p>0.01525 489.469</p> <p>0.0155 489.5</p> <p>0.01575 489.534</p> <p>0.016 489.571</p> <p>0.01625 489.612</p> <p>0.0165 489.655</p> <p>0.01675 489.7</p> <p>0.017 489.748</p> <p>0.01725 489.798</p> <p>0.0175 489.85</p> <p>0.01775 489.904</p> <p>0.018 489.96</p> <p>0.01825 490.017</p> <p>0.0185 490.076</p> <p>0.01875 490.138</p> <p>0.019 490.2</p> <p>0.01925 490.264</p> <p>0.0195 490.33</p> <p>0.01975 490.396</p> <p>0.02 490.464</p> <p>0.02025 490.533</p> <p>0.0205 490.603</p> <p>0.02075 490.674</p> <p>0.021 490.745</p> <p>0.02125 490.818</p> <p>0.0215 490.891</p> <p>0.02175 490.964</p> <p>0.022 491.038</p> <p>0.02225 491.112</p> <p>0.0225 491.187</p> <p>0.02275 491.262</p> <p>0.023 491.336</p> <p>0.02325 491.411</p> <p>0.0235 491.485</p> <p>0.02375 491.56</p> <p>0.024 491.633</p> <p>0.02425 491.706</p> <p>0.0245 491.778</p> <p>0.02475 491.85</p> <p>0.025 491.92</p> <p>0.02525 491.988</p> <p>0.0255 492.056</p> <p>0.02575 492.122</p> <p>0.026 492.187</p> <p>0.02625 492.249</p> <p>0.0265 492.309</p> <p>0.02675 492.367</p> <p>0.027 492.422</p> <p>0.02725 492.474</p> <p>0.0275 492.524</p> <p>0.02775 492.57</p> <p>0.028 492.612</p> <p>0.02825 492.651</p> <p>0.0285 492.686</p> <p>0.02875 492.717</p> <p>0.029 492.742</p> <p>0.02925 492.764</p> <p>0.0295 492.779</p> <p>0.02975 492.789</p> <p>0.03 492.793</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>
Standardizing ID-Labels for seaweed samples used for chemical composition analyses and refinery processes in Nordic and European research projects
<p><strong>Introduction</strong></p> <p>Seaweed samples can be divided into two groups:</p> <ol> <li>Small samples (½-3 kg wet weight (ww)) often used for chemical content analyses including seasonal variation and testing different cultivation conditions or preliminary lab scale experiments on storage, extraction, separation, fermentation, etc.</li> <li>Larger samples (>3 kg ww) for lab- or pilot scale experiments on storage, extraction, separation, fermentation, etc.</li> </ol> <p>Seaweed samples will always have the following information-tracks:</p> <ol> <li><strong>Sample Code: </strong>A ID containing the most important information and the sample code will follow the sampled biomass from harvest to final research results.</li> <li><strong>Seaweed Processing Code:</strong> The sample code will be extended with 8 digits and 1 letter if processing of biomass occurs.</li> <li><strong>Batch Number:</strong> A code describing details about the harvest and origin of the seaweed.</li> <li><strong>Sample Overview:</strong> An Excel file describing all details about the sample: first <strong>sample code</strong>, then species, grinding, freezing/drying specifications, seeding and harvesting information, planed aim of the sample (e.g. polysaccharides), place stored, seaweed processing details, analyse results, etc. Maintained by the sample provider.</li> </ol>
PubChem and ChEMBL-series processed dataset used in Exhaustive local chemical space exploration using a transformer model
<p>PubChem and ChEMBL-series processed dataset used in <span>Exhaustive local chemical space exploration using </span><span>a transformer model</span></p>
Data for Observation of the fastest chemical processes in the radiolysis of water
<p>These are the data underlying the figures in the manuscript entitled "Observation of the fastest chemical processes in the radiolysis of water". </p>
Chemical Process Technologies: Continuous Stirred Tank Reactor
<p>Overview of the continuously stirred tank reactor (CSTR) in chemical processing</p>
Chemical Process Technologies: Batch Reactors
<p>An overview of the fundamentals of batch technology in chemical processing.</p>
Heterogeneously catalyzed steam reforming processes in chemical reactors employing microchannel process technology
<p><strong>Heterogeneously catalyzed steam reforming processes in chemical reactors employing microchannel process technology</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 oxidation of sodium sulfite solutions by dissolved oxygen is greatly accelerated by minute traces of copper ions in the homogeneous liquid system. This system is of special interest since it has been shown that the process is a chain reaction. In this case many thousands of molecules of sodium sulfite can be oxidized to sulfate if the initial activation process is produced by absorption of a limited number of quanta (discrete energy measures) of light. The best example of a light-initiated chain reaction is the photocombination of hydrogen and chlorine; as many as one million molecules of hydrogen chloride can be formed by absorption of a single light quantum. It is of interest to note that such chain reactions can be retarded by the presence of negative catalysts, more commonly termed inhibitors. These are materials that slow down the overall reaction by shortening the reaction chains, generally by entering into a non-chain reaction with one of the chemical components that maintain the chain. A wide variety of substances, including alcohols, sugars, and phenols, have been found to act as inhibitors of the oxidation of sulfite solutions. In certain instances, two or more catalysts present at the same time produce effects greater than either would produce alone. It is then customary to speak of promoter action. Thus, iron ions in solution fortify the action of copper ions in catalyzing a reaction between hydrogen peroxide and iodine. It is assumed that each catalyst activates only one of the reactants.</p> <p>Streamwise distance (meter), Heterogeneous reaction rate along the length of the reactor (mole per square meter per second)</p> <p>0 4.44959</p> <p>0.00025 4.45878</p> <p>0.0005 4.48183</p> <p>0.00075 4.51166</p> <p>0.001 4.54417</p> <p>0.00125 4.58104</p> <p>0.0015 4.62817</p> <p>0.00175 4.68814</p> <p>0.002 4.75712</p> <p>0.00225 4.82549</p> <p>0.0025 4.88385</p> <p>0.00275 4.92753</p> <p>0.003 4.95729</p> <p>0.00325 4.98021</p> <p>0.0035 5.00483</p> <p>0.00375 5.03541</p> <p>0.004 5.07069</p> <p>0.00425 5.10466</p> <p>0.0045 5.13141</p> <p>0.00475 5.14874</p> <p>0.005 5.15804</p> <p>0.00525 5.16465</p> <p>0.0055 5.17504</p> <p>0.00575 5.19208</p> <p>0.006 5.21419</p> <p>0.00625 5.23637</p> <p>0.0065 5.25342</p> <p>0.00675 5.26315</p> <p>0.007 5.26706</p> <p>0.00725 5.26999</p> <p>0.0075 5.27698</p> <p>0.00775 5.2902</p> <p>0.008 5.30797</p> <p>0.00825 5.32557</p> <p>0.0085 5.33865</p> <p>0.00875 5.34553</p> <p>0.009 5.34758</p> <p>0.00925 5.34898</p> <p>0.0095 5.35409</p> <p>0.00975 5.36492</p> <p>0.01 5.38001</p> <p>0.01025 5.39497</p> <p>0.0105 5.40558</p> <p>0.01075 5.41024</p> <p>0.011 5.41031</p> <p>0.01125 5.41008</p> <p>0.0115 5.41383</p> <p>0.01175 5.42315</p> <p>0.012 5.43632</p> <p>0.01225 5.44943</p> <p>0.0125 5.45885</p> <p>0.01275 5.46302</p> <p>0.013 5.46291</p> <p>0.01325 5.46232</p> <p>0.0135 5.46534</p> <p>0.01375 5.47361</p> <p>0.014 5.48559</p> <p>0.01425 5.49703</p> <p>0.0145 5.50449</p> <p>0.01475 5.50685</p> <p>0.015 5.5052</p> <p>0.01525 5.50292</p> <p>0.0155 5.5039</p> <p>0.01575 5.5099</p> <p>0.016 5.51963</p> <p>0.01625 5.52926</p> <p>0.0165 5.53479</p> <p>0.01675 5.53509</p> <p>0.017 5.53187</p> <p>0.01725 5.52862</p> <p>0.0175 5.52867</p> <p>0.01775 5.53341</p> <p>0.018 5.54174</p> <p>0.01825 5.54974</p> <p>0.0185 5.5541</p> <p>0.01875 5.5541</p> <p>0.019 5.55067</p> <p>0.01925 5.54664</p> <p>0.0195 5.54565</p> <p>0.01975 5.54956</p> <p>0.02 5.55697</p> <p>0.02025 5.56395</p> <p>0.0205 5.56722</p> <p>0.02075 5.56603</p> <p>0.021 5.56165</p> <p>0.02125 5.55689</p> <p>0.0215 5.55505</p> <p>0.02175 5.55776</p> <p>0.022 5.56342</p> <p>0.02225 5.56878</p> <p>0.0225 5.57095</p> <p>0.02275 5.56887</p> <p>0.023 5.56341</p> <p>0.02325 5.55734</p> <p>0.0235 5.55408</p> <p>0.02375 5.55524</p> <p>0.024 5.55933</p> <p>0.02425 5.56278</p> <p>0.0245 5.56283</p> <p>0.02475 5.55851</p> <p>0.025 5.55036</p> <p>0.02525 5.54139</p> <p>0.0255 5.53503</p> <p>0.02575 5.53218</p> <p>0.026 5.53104</p> <p>0.02625 5.52834</p> <p>0.0265 5.52161</p> <p>0.02675 5.51435</p> <p>0.027 5.50735</p> <p>0.02725 5.50059</p> <p>0.0275 5.49358</p> <p>0.02775 5.48678</p> <p>0.028 5.47965</p> <p>0.02825 5.47246</p> <p>0.0285 5.46597</p> <p>0.02875 5.45839</p> <p>0.029 5.45181</p> <p>0.02925 5.4442</p> <p>0.0295 5.43768</p> <p>0.02975 5.43001</p> <p>0.03 5.42345</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>
Understanding surface chemical processes in perovskite oxide electrodes
<p>X-ray photoelectron spectroscopy data and Low Energy ion scattering data for the LSCrF8255 materials published in J. Mater Chem A. DOI10.1039/D3TA00070B</p>
The fifth research task in the project entitled "Tunable liquid metal complexes as catalysts for the model chemical and electrochemical processes" - NCN project OPUS (grant no. 2020/37/B/ST8/00693).
<p>The fifth research task carried out as part of the project concerns the electrochemical characteristics of the obtained liquid metal complexes and the determination of their electrochemical potential. The information relates to study performing for the NCN project OPUS, grant no. 2020/37/B/ST8/00693.</p>
The third research task in the project entitled "Tunable liquid metal complexes as catalysts for the model chemical and electrochemical processes" - NCN project OPUS (grant no. 2020/37/B/ST8/00693).
<p>The third research task carried out under the project concerns the modification of solid carriers (MWCNTs, silica, inorganic oxide) with liquid metal complexes and the physical and chemical properties characterization of obtained materials. The information relates to study performing for the NCN project OPUS, grant no. 2020/37/B/ST8/00693.</p>
The first research task in the project entitled "Tunable liquid metal complexes as catalysts for the model chemical and electrochemical processes" - NCN project OPUS (grant no. 2020/37/B/ST8/00693).
<p>The first research task carried out under the project concerns synthesis of novel solvate ionic liquids and physical and chemical properties characterization of obtained liquid metal complexes. The information relates to study performing for the NCN project OPUS, grant no. 2020/37/B/ST8/00693.</p>
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
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.