Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
2,214
datasets available to search
ShareScore release 0.9.0
Dataset results
2,214 results for “Walls”
TORS for a T2 posterior pharyngeal wall cancer
<p>The video shows the procedure of using Trans-Oral Robotic Surgery (TORS) via da-Vinci robot Xi-system to resect a T2 posterior pharyngeal wall cancer extending from hypopharynx to oropharynx on Nov. 20, 2020. Under general anesthesia with oro-endotracheal intubation, posterior pharyngeal wall was exposed by Laryngeal Advanced Retractor System (LARS). With a panoramic view, the tumor could be en-bloc resected by using endo-wristed instruments (Maryland dissector at the left hand side and Mono-polar cautery at the right hand side).</p>
Dataset for the Manuscript: Surfactants Control Optical Trapping Near a Glass Wall
<p>This repository includes datasets supporting our manuscript that will be transferred to <em>the Journal of Physical Chemistry C</em>. This Version 2 includes extensive new results conducted during the revision process. </p> <ul> <li><strong>'Videos.zip'</strong>: Recordings of trapped particles, estimated trajectories, and calculated MSDs<strong>.</strong></li> <li><strong>'Dynamic Light Scattering.zip'</strong>: Measurement data using dynamic light scattering (DLS). It includes the conductivity, zeta potentials, and hydrodynamic size measurements.</li> <li><strong>'Raw data manual.html'</strong>: A data manual explaining the data details and visualizing the results.</li> </ul> <p>Notes:</p> <p>For finding particle trajectories, we used a Python package, <a href="http://soft-matter.github.io/trackpy/v0.4.2/index.html">Trackpy</a>, developed by Allan et al. We simply followed <a href="http://soft-matter.github.io/trackpy/v0.4.2/tutorial/walkthrough.html">their walkthrough</a> to find particle locations in a video recording and link them to a particle trajectory. The details of our trajectory outputs (_traj.csv files) can be found in <a href="http://soft-matter.github.io/trackpy/v0.4.2/generated/trackpy.locate.html#trackpy.locate">their API reference</a>. </p>
Firenze, Italia. Santa Maria Novella, tombs in transept, west wall.
<p>Firenze, Italia. Santa Maria Novella, tombs in transept, west wall.</p>
Heterogeneously catalyzed continuous flow reactors with highly insulating wall materials for the production of hydrogen by steam reforming
<p><strong>Heterogeneously catalyzed continuous flow reactors with highly insulating wall materials for the production of hydrogen by steam reforming</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>Catalysts may be classified generally according to their physical state, their chemical nature, or the nature of the reactions that they catalyze. Catalysts may be gases, liquids, or solids. In homogeneous catalysis, the catalyst is molecularly dispersed in the same phase (usually gaseous or liquid) as the reactants. In heterogeneous catalysis the reactants and the catalyst are in different phases, separated by a phase boundary. Most commonly, heterogeneous catalysts are solids, and the reactants are gases or liquids. When the catalyst and the reacting substances are present together in a single state of matter, usually as a gas or a liquid, it is customary to classify the reactions as cases of homogeneous catalysis. Oxides of nitrogen serve as catalysts for the oxidation of sulfur dioxide in the lead chamber process for producing sulfuric acid, an instance of homogeneous catalysis in which the catalyst and reactants are gases. Traces of water vapour catalyze some gas reactions, for example, the interaction of carbon monoxide and oxygen, which proceeds only slowly in dry conditions. Sulfuric acid used as a catalyst for the formation of diethyl ether from ethyl alcohol is an example of homogeneous catalysis in the liquid phase (when the products, water and ether, are continuously removed by distillation); by this method, considerable quantities of alcohol can be converted to ether with a single charge of sulfuric acid. The inversion of cane sugar and the hydrolysis of esters by acid solutions also are examples of homogeneous catalysis in the liquid phase.</p> <p>Streamwise distance (meter), Heterogeneous reaction rate along the length of the reactor (mole per square meter per second)</p> <p>0 2.51969</p> <p>0.00025 2.52898</p> <p>0.0005 2.55637</p> <p>0.00075 2.59905</p> <p>0.001 2.65199</p> <p>0.00125 2.71215</p> <p>0.0015 2.779</p> <p>0.00175 2.85188</p> <p>0.002 2.929</p> <p>0.00225 3.007</p> <p>0.0025 3.08264</p> <p>0.00275 3.15412</p> <p>0.003 3.22107</p> <p>0.00325 3.28478</p> <p>0.0035 3.34725</p> <p>0.00375 3.40961</p> <p>0.004 3.47145</p> <p>0.00425 3.53115</p> <p>0.0045 3.58689</p> <p>0.00475 3.63782</p> <p>0.005 3.68446</p> <p>0.00525 3.72848</p> <p>0.0055 3.77185</p> <p>0.00575 3.81555</p> <p>0.006 3.85919</p> <p>0.00625 3.90117</p> <p>0.0065 3.93975</p> <p>0.00675 3.9745</p> <p>0.007 4.00595</p> <p>0.00725 4.03554</p> <p>0.0075 4.06508</p> <p>0.00775 4.09527</p> <p>0.008 4.1257</p> <p>0.00825 4.15508</p> <p>0.0085 4.18203</p> <p>0.00875 4.20586</p> <p>0.009 4.22692</p> <p>0.00925 4.24666</p> <p>0.0095 4.26675</p> <p>0.00975 4.28804</p> <p>0.01 4.31009</p> <p>0.01025 4.33162</p> <p>0.0105 4.35124</p> <p>0.01075 4.36833</p> <p>0.011 4.38322</p> <p>0.01125 4.39748</p> <p>0.0115 4.41272</p> <p>0.01175 4.42943</p> <p>0.012 4.44708</p> <p>0.01225 4.46422</p> <p>0.0125 4.47947</p> <p>0.01275 4.49245</p> <p>0.013 4.50367</p> <p>0.01325 4.51438</p> <p>0.0135 4.52587</p> <p>0.01375 4.53892</p> <p>0.014 4.55319</p> <p>0.01425 4.56709</p> <p>0.0145 4.57965</p> <p>0.01475 4.59029</p> <p>0.015 4.59928</p> <p>0.01525 4.60791</p> <p>0.0155 4.61738</p> <p>0.01575 4.62855</p> <p>0.016 4.64119</p> <p>0.01625 4.6539</p> <p>0.0165 4.665</p> <p>0.01675 4.67399</p> <p>0.017 4.68163</p> <p>0.01725 4.68922</p> <p>0.0175 4.69783</p> <p>0.01775 4.70789</p> <p>0.018 4.71927</p> <p>0.01825 4.73043</p> <p>0.0185 4.74005</p> <p>0.01875 4.74791</p> <p>0.019 4.75432</p> <p>0.01925 4.76037</p> <p>0.0195 4.7674</p> <p>0.01975 4.77614</p> <p>0.02 4.78619</p> <p>0.02025 4.79589</p> <p>0.0205 4.80412</p> <p>0.02075 4.81091</p> <p>0.021 4.81662</p> <p>0.02125 4.82204</p> <p>0.0215 4.8285</p> <p>0.02175 4.83678</p> <p>0.022 4.84603</p> <p>0.02225 4.85522</p> <p>0.0225 4.8636</p> <p>0.02275 4.87063</p> <p>0.023 4.87617</p> <p>0.02325 4.88134</p> <p>0.0235 4.88764</p> <p>0.02375 4.89563</p> <p>0.024 4.90453</p> <p>0.02425 4.91307</p> <p>0.0245 4.92044</p> <p>0.02475 4.92599</p> <p>0.025 4.92992</p> <p>0.02525 4.93332</p> <p>0.0255 4.93759</p> <p>0.02575 4.94309</p> <p>0.026 4.94878</p> <p>0.02625 4.95359</p> <p>0.0265 4.95679</p> <p>0.02675 4.95736</p> <p>0.027 4.95533</p> <p>0.02725 4.95189</p> <p>0.0275 4.94807</p> <p>0.02775 4.94582</p> <p>0.028 4.94248</p> <p>0.02825 4.9391</p> <p>0.0285 4.93625</p> <p>0.02875 4.93336</p> <p>0.029 4.93052</p> <p>0.02925 4.92708</p> <p>0.0295 4.92401</p> <p>0.02975 4.92139</p> <p>0.03 4.91781</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>
Heterogeneously catalyzed steam reforming reactors with highly insulating wall materials for hydrogen production
<p><strong>Heterogeneously catalyzed steam reforming reactors with highly insulating wall materials 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 design relates to a thermally coupled monolith reactor, used to thermally contact endothermic and exothermic reaction streams in adjacent channels. The geometry allows intimate thermal contact whilst keeping the streams from becoming mixed. The reactor body is constructed by modification of a substantially rigid and essentially nonporous monolith honeycomb. Prior to modification the monolith consists of a honeycombed body having a matrix of thin walls defining a multiplicity of discrete channels which pass through the body of the structure from one face to the opposing face. The monolith is modified in such a way as to produce a rigid body containing at least two discreet process flow paths which have a number of dividing walls in common. For the purpose of this design, a channel is defined as any individual passageway through the monolith body and a flow path is the group of channels used for a single reaction. The monolith body may be constructed from a number of materials using a range of techniques. Suitable materials include ceramics with a low coefficient of thermal expansion which are readily extrudable. These include, but are not limited to, mullite, corderite, alumina, and silica. Other materials include metals which may be extruded, welded, brazed, or diffusion bonded to make such structures. Using metals, it is sometimes useful to start with metal oxide powders, which are then bonded and reduced to the metallic state. Suitable metals include copper, aluminium, stainless steel, iron, titanium, and mixtures or alloys thereof.</p> <p>Streamwise distance (meter), Heterogeneous reaction rate along the length of the reactor (mole per square meter per second)</p> <p>0 5.24167</p> <p>0.00025 5.35038</p> <p>0.0005 5.59568</p> <p>0.00075 5.86537</p> <p>0.001 6.11865</p> <p>0.00125 6.34243</p> <p>0.0015 6.53109</p> <p>0.00175 6.68219</p> <p>0.002 6.79554</p> <p>0.00225 6.87267</p> <p>0.0025 6.91642</p> <p>0.00275 6.93001</p> <p>0.003 6.91683</p> <p>0.00325 6.88071</p> <p>0.0035 6.82557</p> <p>0.00375 6.75504</p> <p>0.004 6.67218</p> <p>0.00425 6.58003</p> <p>0.0045 6.48092</p> <p>0.00475 6.37655</p> <p>0.005 6.26889</p> <p>0.00525 6.15969</p> <p>0.0055 6.05031</p> <p>0.00575 5.9419</p> <p>0.006 5.83551</p> <p>0.00625 5.73198</p> <p>0.0065 5.63166</p> <p>0.00675 5.53473</p> <p>0.007 5.44181</p> <p>0.00725 5.35303</p> <p>0.0075 5.26832</p> <p>0.00775 5.18794</p> <p>0.008 5.11205</p> <p>0.00825 5.0406</p> <p>0.0085 4.9734</p> <p>0.00875 4.91027</p> <p>0.009 4.85116</p> <p>0.00925 4.79592</p> <p>0.0095 4.74421</p> <p>0.00975 4.69592</p> <p>0.01 4.6509</p> <p>0.01025 4.60897</p> <p>0.0105 4.57006</p> <p>0.01075 4.53403</p> <p>0.011 4.50066</p> <p>0.01125 4.46966</p> <p>0.0115 4.44077</p> <p>0.01175 4.41409</p> <p>0.012 4.38962</p> <p>0.01225 4.36729</p> <p>0.0125 4.34699</p> <p>0.01275 4.32857</p> <p>0.013 4.31176</p> <p>0.01325 4.29635</p> <p>0.0135 4.28232</p> <p>0.01375 4.26966</p> <p>0.014 4.2583</p> <p>0.01425 4.24794</p> <p>0.0145 4.23865</p> <p>0.01475 4.23021</p> <p>0.015 4.22255</p> <p>0.01525 4.21587</p> <p>0.0155 4.21007</p> <p>0.01575 4.20509</p> <p>0.016 4.20091</p> <p>0.01625 4.1973</p> <p>0.0165 4.19387</p> <p>0.01675 4.19079</p> <p>0.017 4.1885</p> <p>0.01725 4.18682</p> <p>0.0175 4.18524</p> <p>0.01775 4.18388</p> <p>0.018 4.18298</p> <p>0.01825 4.18213</p> <p>0.0185 4.18136</p> <p>0.01875 4.18095</p> <p>0.019 4.1809</p> <p>0.01925 4.1808</p> <p>0.0195 4.18068</p> <p>0.01975 4.18095</p> <p>0.02 4.18151</p> <p>0.02025 4.18213</p> <p>0.0205 4.18266</p> <p>0.02075 4.18322</p> <p>0.021 4.18389</p> <p>0.02125 4.18446</p> <p>0.0215 4.18499</p> <p>0.02175 4.18578</p> <p>0.022 4.18649</p> <p>0.02225 4.18705</p> <p>0.0225 4.18769</p> <p>0.02275 4.18848</p> <p>0.023 4.18913</p> <p>0.02325 4.18948</p> <p>0.0235 4.18969</p> <p>0.02375 4.18992</p> <p>0.024 4.18989</p> <p>0.02425 4.18952</p> <p>0.0245 4.18926</p> <p>0.02475 4.18907</p> <p>0.025 4.18838</p> <p>0.02525 4.18717</p> <p>0.0255 4.18578</p> <p>0.02575 4.18424</p> <p>0.026 4.18227</p> <p>0.02625 4.17979</p> <p>0.0265 4.17704</p> <p>0.02675 4.17371</p> <p>0.027 4.16989</p> <p>0.02725 4.16595</p> <p>0.0275 4.16173</p> <p>0.02775 4.15674</p> <p>0.028 4.15105</p> <p>0.02825 4.14506</p> <p>0.0285 4.13866</p> <p>0.02875 4.13164</p> <p>0.029 4.12371</p> <p>0.02925 4.11536</p> <p>0.0295 4.1047</p> <p>0.02975 4.07045</p> <p>0.03 4.04272</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 insulating wall materials for hydrogen production
<p><strong>Microchannel steam reforming reactors with insulating wall materials 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>In one form, the design includes a monolithic catalytic reactor with a primary flow path comprising a number of tubes which are lined with a catalyst. As chemical reactants are fed into the primary flow path the chemicals react, with the aid of the catalyst, to produce an exothermic reaction. In the same catalytic reactor is a secondary flow path, also comprising a number of tubes and also lined with a catalyst. In this secondary flow path, a different collection of chemical reactants are fed and, through the aid of the catalyst, will produce an endothermic reaction. The tubes of the primary and secondary flow paths are interspersed with one another within the monolith such that the heat generated from the exothermic reaction may conduct through the tube walls and serve as a heat source for the endothermic reaction. Furthermore, the microchannel steam reforming reactor design includes a method for enhancing one or more catalytic chemical reactions in terms of rate, product yield, energy and other parameters. Here, the initiating an exothermic reaction within one flow path of the monolithic reactor serves the dual purpose of creating a product yield as a result of that exothermic reaction and as a heat source. With the aid of this heat source, a second and endothermic reaction may be initiated in a secondary flow path which may absorb the heat from the exothermic reaction thereby enhancing product yield and making efficient use of available energy. To optimize the use of this heat, the reactions are controlled through one of many factors such as feed rate of the reactants, catalyst quality, reactant concentration and others. The flow paths may be co-current, countercurrent or other such variation as necessary to maximize heat transfer between the two reactions.</p> <p>Streamwise distance (meter), Heterogeneous reaction rate along the length of the reactor (mole per square meter per second)</p> <p>0 8.97706</p> <p>0.00025 9.12983</p> <p>0.0005 9.45292</p> <p>0.00075 9.76459</p> <p>0.001 10.009</p> <p>0.00125 10.1761</p> <p>0.0015 10.2678</p> <p>0.00175 10.2901</p> <p>0.002 10.2514</p> <p>0.00225 10.1611</p> <p>0.0025 10.0284</p> <p>0.00275 9.86268</p> <p>0.003 9.67153</p> <p>0.00325 9.46156</p> <p>0.0035 9.23929</p> <p>0.00375 9.01005</p> <p>0.004 8.77805</p> <p>0.00425 8.54661</p> <p>0.0045 8.31863</p> <p>0.00475 8.09598</p> <p>0.005 7.87987</p> <p>0.00525 7.67157</p> <p>0.0055 7.47194</p> <p>0.00575 7.28144</p> <p>0.006 7.10033</p> <p>0.00625 6.92886</p> <p>0.0065 6.76695</p> <p>0.00675 6.61432</p> <p>0.007 6.47076</p> <p>0.00725 6.33601</p> <p>0.0075 6.20963</p> <p>0.00775 6.09103</p> <p>0.008 5.98024</p> <p>0.00825 5.87692</p> <p>0.0085 5.78047</p> <p>0.00875 5.6906</p> <p>0.009 5.60703</p> <p>0.00925 5.5293</p> <p>0.0095 5.45708</p> <p>0.00975 5.38993</p> <p>0.01 5.3273</p> <p>0.01025 5.26922</p> <p>0.0105 5.2156</p> <p>0.01075 5.1662</p> <p>0.011 5.12058</p> <p>0.01125 5.07842</p> <p>0.0115 5.03943</p> <p>0.01175 5.00345</p> <p>0.012 4.9703</p> <p>0.01225 4.93973</p> <p>0.0125 4.91161</p> <p>0.01275 4.88587</p> <p>0.013 4.86227</p> <p>0.01325 4.84055</p> <p>0.0135 4.82058</p> <p>0.01375 4.80242</p> <p>0.014 4.78598</p> <p>0.01425 4.77087</p> <p>0.0145 4.75708</p> <p>0.01475 4.74449</p> <p>0.015 4.73297</p> <p>0.01525 4.72248</p> <p>0.0155 4.71307</p> <p>0.01575 4.70472</p> <p>0.016 4.69726</p> <p>0.01625 4.69071</p> <p>0.0165 4.68471</p> <p>0.01675 4.67933</p> <p>0.017 4.67489</p> <p>0.01725 4.67115</p> <p>0.0175 4.66781</p> <p>0.01775 4.66491</p> <p>0.018 4.6626</p> <p>0.01825 4.66054</p> <p>0.0185 4.65865</p> <p>0.01875 4.65713</p> <p>0.019 4.65599</p> <p>0.01925 4.65505</p> <p>0.0195 4.6543</p> <p>0.01975 4.65386</p> <p>0.02 4.65375</p> <p>0.02025 4.65363</p> <p>0.0205 4.6535</p> <p>0.02075 4.6538</p> <p>0.021 4.65451</p> <p>0.02125 4.65516</p> <p>0.0215 4.65575</p> <p>0.02175 4.65657</p> <p>0.022 4.65718</p> <p>0.02225 4.65771</p> <p>0.0225 4.65857</p> <p>0.02275 4.65952</p> <p>0.023 4.66024</p> <p>0.02325 4.66071</p> <p>0.0235 4.66111</p> <p>0.02375 4.66146</p> <p>0.024 4.66145</p> <p>0.02425 4.66101</p> <p>0.0245 4.66041</p> <p>0.02475 4.65975</p> <p>0.025 4.65862</p> <p>0.02525 4.65679</p> <p>0.0255 4.65471</p> <p>0.02575 4.65255</p> <p>0.026 4.6498</p> <p>0.02625 4.64634</p> <p>0.0265 4.64254</p> <p>0.02675 4.63791</p> <p>0.027 4.63242</p> <p>0.02725 4.62651</p> <p>0.0275 4.62008</p> <p>0.02775 4.61266</p> <p>0.028 4.60415</p> <p>0.02825 4.59488</p> <p>0.0285 4.585</p> <p>0.02875 4.57438</p> <p>0.029 4.5624</p> <p>0.02925 4.54979</p> <p>0.0295 4.5335</p> <p>0.02975 4.47929</p> <p>0.03 4.43516</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>
Autothermal steam reforming reactors with thermally conductive walls for hydrogen production
<p><strong>Autothermal steam reforming reactors with thermally conductive walls 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>It is necessary to provide a reactor where the catalytically active components are immobilized on adjacent sides of the monolith dividing walls such that heat transfer can occur via purely conduction through the wall from one catalytic process to the second catalytic process. It is also necessary to provide a reactor where the monolith body is demountable from the inlet and outlet manifolds such that catalyst replacement and recovery of spent catalyst can be easily performed. It is also necessary to provide a reactor where the heat transfer characteristics are decoupled from the reactant or product fluid velocities such that the system can operate with moderate gas velocities and with low pressure drops. It is also necessary to provide a reactor of low thermal inertia and high heat load such that rapid start up and fast response to load transients can be achieved. The design comprises, in one form thereof, a chemical processing method to thermally contact an endothermic and an exothermic reaction without mixing the two streams, utilizing a thermally coupled monolith reactor. A ceramic or metal monolith is modified to produce a structure containing at least two sets of discrete flow channels and which are separated by a number of common walls. Manifolds are arranged such that one reaction mixture flows through one set of channels and a different reaction mixture flows through the second. Catalytic material, which is active for the relevant reaction, is coated onto the inner walls of each of the sets of channels. The two reactions are chosen such that one is exothermic and one is endothermic, such that the energy required by the endothermic process is supplied directly through the dividing wall from the exothermic process occurring on the opposing side. This method of heat transfer completely decouples the gas phase hydrodynamics from the heat transfer process.</p> <p>Streamwise distance (meter), Heterogeneous reaction rate along the length of the reactor (mole per square meter per second)</p> <p>0 12.1245</p> <p>0.00025 12.2056</p> <p>0.0005 12.3371</p> <p>0.00075 12.3931</p> <p>0.001 12.3704</p> <p>0.00125 12.2891</p> <p>0.0015 12.1645</p> <p>0.00175 12.0076</p> <p>0.002 11.8272</p> <p>0.00225 11.63</p> <p>0.0025 11.4214</p> <p>0.00275 11.2059</p> <p>0.003 10.987</p> <p>0.00325 10.7674</p> <p>0.0035 10.5496</p> <p>0.00375 10.3354</p> <p>0.004 10.1263</p> <p>0.00425 9.9232</p> <p>0.0045 9.72691</p> <p>0.00475 9.53772</p> <p>0.005 9.35585</p> <p>0.00525 9.18161</p> <p>0.0055 9.01491</p> <p>0.00575 8.85575</p> <p>0.006 8.70412</p> <p>0.00625 8.55976</p> <p>0.0065 8.42235</p> <p>0.00675 8.29183</p> <p>0.007 8.16813</p> <p>0.00725 8.05097</p> <p>0.0075 7.94006</p> <p>0.00775 7.83509</p> <p>0.008 7.73603</p> <p>0.00825 7.64259</p> <p>0.0085 7.55447</p> <p>0.00875 7.47149</p> <p>0.009 7.39325</p> <p>0.00925 7.31962</p> <p>0.0095 7.25041</p> <p>0.00975 7.18541</p> <p>0.01 7.12413</p> <p>0.01025 7.06625</p> <p>0.0105 7.01189</p> <p>0.01075 6.96101</p> <p>0.011 6.91331</p> <p>0.01125 6.86823</p> <p>0.0115 6.82574</p> <p>0.01175 6.78591</p> <p>0.012 6.74833</p> <p>0.01225 6.7128</p> <p>0.0125 6.67938</p> <p>0.01275 6.648</p> <p>0.013 6.61842</p> <p>0.01325 6.5905</p> <p>0.0135 6.56401</p> <p>0.01375 6.53896</p> <p>0.014 6.51549</p> <p>0.01425 6.49316</p> <p>0.0145 6.47196</p> <p>0.01475 6.45184</p> <p>0.015 6.43277</p> <p>0.01525 6.41475</p> <p>0.0155 6.39735</p> <p>0.01575 6.38068</p> <p>0.016 6.36501</p> <p>0.01625 6.35036</p> <p>0.0165 6.33607</p> <p>0.01675 6.32215</p> <p>0.017 6.30899</p> <p>0.01725 6.29632</p> <p>0.0175 6.28384</p> <p>0.01775 6.27168</p> <p>0.018 6.2601</p> <p>0.01825 6.24866</p> <p>0.0185 6.23744</p> <p>0.01875 6.22675</p> <p>0.019 6.21628</p> <p>0.01925 6.20588</p> <p>0.0195 6.19553</p> <p>0.01975 6.18524</p> <p>0.02 6.17518</p> <p>0.02025 6.16499</p> <p>0.0205 6.1546</p> <p>0.02075 6.1444</p> <p>0.021 6.13426</p> <p>0.02125 6.12398</p> <p>0.0215 6.11344</p> <p>0.02175 6.10277</p> <p>0.022 6.09166</p> <p>0.02225 6.08022</p> <p>0.0225 6.06884</p> <p>0.02275 6.05715</p> <p>0.023 6.04483</p> <p>0.02325 6.03193</p> <p>0.0235 6.01875</p> <p>0.02375 6.00527</p> <p>0.024 5.99094</p> <p>0.02425 5.97588</p> <p>0.0245 5.96041</p> <p>0.02475 5.94431</p> <p>0.025 5.92737</p> <p>0.02525 5.90954</p> <p>0.0255 5.89105</p> <p>0.02575 5.87191</p> <p>0.026 5.85159</p> <p>0.02625 5.83007</p> <p>0.0265 5.80776</p> <p>0.02675 5.78416</p> <p>0.027 5.7593</p> <p>0.02725 5.73344</p> <p>0.0275 5.70642</p> <p>0.02775 5.67803</p> <p>0.028 5.64823</p> <p>0.02825 5.61725</p> <p>0.0285 5.58477</p> <p>0.02875 5.55098</p> <p>0.029 5.52507</p> <p>0.02925 5.49861</p> <p>0.0295 5.46342</p> <p>0.02975 5.43244</p> <p>0.03 5.40902</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>
Data for Chandnani and Herrick, Influence of Target Properties on Wall Slumping in Lunar Impact Craters within the Simple-to-Complex Transition
<p>Data files for Figures 3 and S1 of the manuscript. These are craters counted in slump and ejecta units for the purpose of comparing their relative ages.</p> <p>The directory sf_shapefiles contains subdirectories for the 20 craters for which a slump unit and an ejecta unit had crater counts performed. The AREA_* shapefiles are polygons that outline the area studied, and the CRATER_* files are the individual craters counted. These files were created using CraterTools (<a href="https://www.geo.fu-berlin.de/en/geol/fachrichtungen/planet/software/_content/software/index.html">https://www.geo.fu-berlin.de/en/geol/fachrichtungen/planet/software/_content/software/index.html</a>) in ArcGIS, but that software is not necessary to use the shapefiles. </p> <p>The subdirectory SFD_figs_color and SFC_suppl_figs_color are, respectively, the CraterStats (https://www.geo.fu-berlin.de/en/geol/fachrichtungen/planet/software/_content/software/index.html) files used to generate Figure 3 of the main manuscript and Supplemental Figure S1. Each crater comprises a subdirectory of those main directories. Within each subdirectory, the *.plt file is the file directing CraterStats how to make the figure. The *.png file is the output figure from CraterStats, and the *.jpg file is the .png file after it has been cropped and the error bars have been changed from grey to black. The *.txt file provides the output from CraterStats that, among other things, provides the data fit of isochrons to the data. The *.diam files are data extracted from the shapefiles and provide the input into Craterstats. They have the lat-lon-diameter information on the craters and the counting area. All of these are commented text files, so you don’t need CraterStats to look at them and use them.</p>
The size of a smell: assessment of rival's size from femoral secretions in the common wall lizards
<p>Animal communication depends on signals conveying information to a receiver who must perceive and decode them. Signals involved in territoriality are usually complex stimuli that should be correctly interpreted to avoid unnecessary conflicts. Lacertids use both visual and chemical stimuli in modulating their aggressive response against conspecifics and the rival's size is one of the most important information, affecting the success probability in a combat. To assess the actual ability of decoding information about rival's size based on its chemical stimulus alone, 60 males of Podarcis muralis were tested for three consecutive days in an arena bearing a mirror (to simulate an equal-sized intruder), and the chemical cues (femoral secretions) from an unknown individual of different size. Significant differences were observed in tongue-flicks number, which grew as the size difference between the focal lizard and the secretion donor decreased. This can be interpreted as the need for the lizard to better evaluate the potential competitor's characteristics. The size difference also affected the number of bites against the mirror, which increased when the size of the focal lizard was larger than the donor triggering the aggressive response with a higher probability of winning the contest, as expected if the focal lizard had correctly decoded the information about the opponent's size by chemical stimulus. Although previous studies have shown that some components of the chemical signals are potentially informative about the signaller's size, this is the first demonstration that male P. muralis are actually able to decode and use such information.</p>
An experimental and numerical study of turbulent oscillatory flow over an irregular rough wall
<p>Phase-averaged experimental data, phase- and spatial-averaged numerical data, and digitized roughness as described in: Dunbar, D., van der A, D.A., Scandura, T., O'Donoghue, T. (2023). An experimental and numerical study of turbulent oscillatory flow over an irregular rough wall. Journal of Fluid Mechanics, 955, A33, doi:10.1017/jfm.2022.1090.</p> <p>If interested in the time-series data and/or the spatially varying numerical data please contact the corresponding author of the paper. </p>
Sequences of bacterial and fungal communities by Next-Generation Sequencing (NGS) associated to wall patinas
<p>These data are the DNA sequences obtained from samples of house plaster with chromatic alteration facies. Three areas (VA1, VA3 and VNA6) of the wall were sampled. the DNA was extracted using the Spin Kit For Soil MPBio. </p> <p>The DNA extracts were sequenced by NGS using Illumina MiSeq</p> <p>Two regions were selected V3V5 16S for Bacteria and ITS1 ITS for Fungi. </p>
Dataset related to article: Cell-envelope growth of Gram-negative bacteria proceeds independently of cell-wall synthesis
<p>Single-cell data for the article: </p> <p>Enno R. Oldewurtel, Yuki Kitahara, Baptiste Cordier, Richard Wheeler, Gizem Özbaykal, Elisa Brambilla, Ivo Gomperts Boneca, Lars D. Renner, and Sven van Teeffelen</p> <p>Cell-envelope growth of Gram-negative bacteria proceeds independently of cell-wall synthesis. EMBO J (2023)</p>
Effect of magnetic configuration on real-time wall conditioning in DIII-D
<p>Using EMC3-EIRENE modeling, the impact of parallel impurity forces on the edge transport of injected material and ionized impurities, including scrape-off layer (SOL) main ion flows, has been investigated. The study involved comparing impurity powder injections in different divertor configurations, namely DIII-D lower single null, upper single null, and double null configurations, with plasma edge transport and dust migration and ablation modeling. The injections, which were in powder and granular form, were conducted for real-time wall conditioning, ELM control, and divertor power exhaust at DIII-D [1]. Divertor configuration changes resulted in a redirection of SOL flows, which affected the conditioning of plasma-facing components on either the low field side or the high field side. Moreover, the injection location's poloidal shifts could modify the injected materials' penetration depths and trajectories in the plasma boundary. These changes had an impact on the local deposition of materials on plasma-facing components, which is essential for active conditioning and replenishment of functional coatings in future long-pulse scenarios.</p> <p>[1] F. Effenberg <em>et al</em> 2022 <em>Nucl. Fusion</em> <strong>62</strong> 106015 <strong>DOI</strong> 10.1088/1741-4326/ac899d</p>
Allosteric activation of cell wall synthesis during bacterial growth
<p>This repository contains single-molecule FRET data related to this manuscript organized by figure. Note that data that appear both in the main and in the supplementary figures are provided only once, in the relevant main figure folders. Each figure folder contains all relevant datasets, deposited as zipped folders with pre-processed raw trajectories in the .dat format. These trajectories list donor excitation/donor emission (column 1) and donor excitation/acceptor emission (column 2) values as a function of time, and can be visualized and further processed using either custom code or the publicly available ebFRET software (http://ebfret.github.io/).</p>
Dataset for geometrical digital twins of the as-built microstructure of three-leaf stone masonry walls with laser scanning
<p>This repository contains the dataset from the geometrical digital twinning of the as-built microstructure of three-leaf stone masonry walls of 700mm x 700 mm x 400 mm (Height x Length x Width) with laser scanning. It includes raw and processed data and data analysis scripts. A Readme file explains the structure of the dataset and the contents of each folder. The dataset corresponds to the journal paper <strong><em>Geometrical digital twins of the as-built microstructure of three-leaf stone masonry walls with laser scanning</em></strong> published on Scientific data https://doi.org/10.1038/s41597-023-02417-3.</p> <p>Please, cite as:</p> <p>Saloustros, S., Settimi, A., Ascencio, A.C., Gamerro, J, Weinand, Y., Beyer, K. Geometrical digital twins of the as-built microstructure of three-leaf stone masonry walls with laser scanning. <em>Sci Data</em> <strong>10</strong>, 533 (2023). https://doi.org/10.1038/s41597-023-02417-3</p>
Hydrodynamic interactions between squirmers near walls
<p>Code for "Hydrodynamic interactions between squirmers near walls" (2023)<br> All files run with Matlab.</p> <p>I/ A single squirmer above a rigid boundary</p> <p>• fig3.m: This function is used to obtain the phase diagram for a single squirmer above a boundary in the far field in Fig.3. It finds the equilibrium states if they exist by splitting between puller and pushers, and finding the real roots of the relevant polynomes (eq 1.9) that are located above the wall (h > 1) if they exist.</p> <p>II/ Two-dimensional symmetric encounter of two squirmers in the far field</p> <p>• fig6.m: This function describes the dynamics of two approaching squirmers starting from D at their single squirmer equilibrium. It uses the auxiliary function xspeed.m , yspeed.m , and rotationrate.m. It returns the plot (b,c,f,g) of figure 6 for the chosen range of β and initial separation D.</p> <p>• xspeed.m: Returns the horizontal translation speed (x-direction) for two squirmers of strength β at height h above a no-slip wall, and distance D from one another.</p> <p>• yspeed.m: Vertical translation speed (y-direction).</p> <p>• rotationrate.m: Rotation rate for the two interracting squirmers.</p> <p>III/ Near-field orientation stability of a circle of squirmers</p> <p>• fig9.m Stability of circles of pullers above one or two walls uses the function isstable.m to assess the stability of a given configuration, and uses matlab function fminbnd to find the minimal value of |β| that is stable.</p> <p>• fig10.m Stability of circles of pullers above one or two walls.</p> <p>• isstable.m This is the auxiliary function used by fig9.m and fig10.m to determine whether a given circle, with parameters β, ε, h is stable when bounded by nwalls walls.</p> <p>• circlenearfield.m This function displays the dynamics of a circle of squirmers in the near field. It opens a figure that shows the time-evolution of each swimmer's orientation as an arrow that goes from black to yellow with increasing time. The simulation stops if the circle is unstable and displays the time at which it broke apart</p> <p>• filledcircle.m This function displays the dynamics of a circle of squirmers with a central squirmer, as used in Sec3.(g).</p> <p>• partialcircle.m This function displays the dynamics of a partial circle of squirmers, as used in Sec3.(g).</p>
Working code and data for a wall-to-wall mapping of carbon loss within the Chornobyl Exclusion Zone after the 2020 catastrophic wildfire
<p>Links to data in this code are from <a href="https://github.com/Janzeero-PhD/C_loss_Chornobyl_2022">GitHub repository</a>. But can be replaced by the files supplied here.</p> <p>Only code to generate models and to create figures for their validation is provided. Also code to create GMFR function (from Riemann et al. 2010 and adapted in Henderson et al. 2019) is provided.</p> <p>Code to: calculate C stock for training and validation data set per biomass compartment; prepare raster data (mostly in Google Earth Engine); make raster predictions; calculate C loss according to local combustion factors and NBR severity levels is available <em>upon request</em>.</p> <p>MetaData.xlsx contains a description of all files within this package, and variable explanation for provided data sets.</p>
Dataset - Fast mechanical and biochemical cell wall dynamics underlie plant nutation
<p>Dataset and codes (Python and Matlab) used to produce the figures in the article "Fast mechanical and biochemical cell wall dynamics underlie plant nutation".</p>
The weaken-fill-repair model for cell budding: Linking cell wall biosynthesis with mechanics
<p>The interplay between cellular mechanics and other biochemical processes leading to the cell cycle is poorly understood. Here, we propose a quantitative model of the mechanism of cell budding, particularly for Saccharomyces cerevisiae, as a ''weaken-fill-repair'' process. This model links Newtonian mechanics over the cell wall with biochemical processes that change the mechanical properties of the wall. Our model shows that: (1) The oscillatory behavior in the size of the mother compartment during cell division, as observed experimentally, is an inevitable consequence of the budding mechanism; (2) The asymmetry of cell division is necessary for the daughter cell to maintain mechanical stiffness; (3) Although different aspects of a cell are strictly constrained and intricately interconnected, the budding process is governed by a single reduced parameter that, when at an appropriate value, can automatically achieve homeostasis. Our quantitative model of the evolution of cell walls and their impact on cell division could provide valuable insights into cell morphology from a system perspective. This knowledge could be instrumental in developing effective antimicrobial treatments against microorganisms with cell walls and even in building synthetic cells.</p>
Temperature measurements of full-scale wall element using Type K thermocouples to observe internal convection in loose-fill wood fiber insulation
<p>Internal convection of insulation materials is a phenomenon that occurs when a construction element is subjected to a temperature difference on either side of the element, as the temperature difference inside the insulation will facilitate an onset of air movement due to thermal buoyancy. This dataset represents the results of 11 unique experiments conducted at Aalborg University at the Department of the Built Environment, where a full-scale wall element insulated with loose-fill wood fiber insulation is investigated for internal convection. A large guarded hotbox is used to control the boundary conditions of either side of the wall element, to imitate a construction element subjected to external and internal boundary conditions, similar to a wall in a house. This dataset can be used to benchmark other insulation materials investigated at similar boundary conditions.</p> <p>The dataset is structured into steady-state experiments and dynamic experiments, where a total of 7 unique cases are conducted in steady-state conditions, and 4 unique cases are conducted in dynamic conditions. The dataset for the steady-state experiments is structured by the temperature difference that the full-scale wall element is exposed to, from the cold and hot side, while the dynamic experiments are structured by the amplitude of the temperature variation, along with if an artificial sun is used or not.</p> <p>The results for the internal convection of the loose-fill wood fiber insulation show similar results as other studies that have conducted experiments on other insulation materials.</p> <p>For more information, see doi: 10.54337/aau488363266</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.