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2,216 results for “membrane”
Spectroscopy study of albumin interaction with negatively charged liposome membranes: Mutual structural effects of the protein and the bilayers
<p>Deconvolution of the signals of carbonyl groups in the ATR-FTIR spectra of lipids in the region 1700–1760 cm<sup>−1</sup> obtained during liposome incubation with albumin.</p>
Electrodialysis with Bipolar Membranes for the Generation of NaOH and HCl Solutions from Brines: An Inter-Laboratory Evaluation of Thin and Ultrathin Non-Woven Cloth-Based Ion-Exchange Membranes Tamara
<p>The SEArcularMINE project aims to recover critical raw materials (CRMs) from brines from saltworks, thus facing a CRM shortage within Europe. To promote a fully circular scheme, the project valorises concentrated brines using electrodialysis with bipolar membranes (EDBM) to generate the required amounts of reactants (i.e., acids and bases). Regarding the performances of new non-woven cloth ion-exchange membranes (Suez): (i) an ultra-thin non-woven polyester cloth and (ii) a thin polypropylene cloth acting as the support structures were assessed. Additionally, the anion layer includes a catalyst to promote the water dissociation reaction. The effect of current density (100, 200, and 300 Am−2) on the performance of two combinations of membranes in an inter-laboratory exercise using 2 M NaCl was evaluated. According to statistical analysis ANOVA, there was an agreement on the results obtained in both laboratories. NaOH/HCl solutions up to 0.8 M were generated working at 300 A m−2 using both combinations of membranes. Regarding the performance parameters, stack set-ups incorporating thin polypropylene membranes showed lower specific energy consumption (SEC) and higher specific productivity (SP) than ultra-thin polypropylene ones. Hence, for ultra-thin polypropylene membranes, SEC was reported to be between 2.18 and 1.69 kWh kg−1<br>NaOH and SP between 974 and 314 kg m−2 y−1.<br><br></p>
Distance Tuneable Integral Membrane Protein Containing Floating Bilayers via In Situ Directed Self-Assembly : Data and Analysis Scripts
<p>Neutron Reflectometry data and analysis scripts (for RasCal software) and Quartz Crystal Microbalance data and plotting script for data shown in Figures 1, 3, 4 and 5 of the Article: Distance Tuneable Integral Membrane Protein Containing Floating Bilayers via In Situ Directed Self-Assembly.</p>
STEM and XRD files of Water and Hydroxide Trapping in Cobalt Tungstate for Proton Exchange Membrane Water Electrolysis
Open the record for dataset details and reuse information.
The nociceptive withdrawal reflex during spinal analgesia in pigs undergoing veno-arterial extracorporeal membrane oxygenation: a prospective observational study.
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Osh4 Membrane Contact Site Model 2024 (Klauda Lab)
<p>This is a set of NAMD trajectory files and associated PSF files (final PDB files) for two membrane contact site models associated with our journal manuscript. </p>
Unifying Mixed Gas Adsorption in Molecular Sieve Membranes and MOFs using Machine Learning
<p>Dataset containing different physical properties and gas loading capacity inside carbon molecular sieving membrane (CMSM) and metal organic frameworks (MOF). The physical properties of the adsorbent frameworks are used to train neural network (NN) and XGBoost machine learning models to accurately predict the gas loadings. This dataset corresponds to the publication, "Unifying Mixed Gas Adsorption in Molecular Sieve Membranes and MOFs using Machine Learning", Subhadeep Dasgupta, Amal RS, Prabal K Maiti.</p>
The molecular basis for the increased stability of the FUS-LC fibril at the anionic membrane- and air-water interfaces [part-2]
<p>Here, we provide atomistic molecular dynamics (CHARMM36m force field and GROMACS software) simulation trajectories of FUS-LC fibril on DOPC and DOPG membrane in .xtc format. Coordinates of the system at the end of the simulations and topology files are also supplied.The data accompanies the publication "The molecular basis for the increased stability of the FUS-LC fibril at the anionic membrane- and air-water interfaces" by Sanjoy Paul, Sayantan Mondal, Irina Shenogina, and Qiang Cui. </p>
Dataset - Membrane-localized magnetic hyperthermia promotes intracellular delivery of cell-impermeant probes
<p><span>Data regarding the MNP surface temperature estimation, magnetic measurements, and qPCR data for the HSP expression.</span></p> <p><span>The data set is related to the article "Membrane-localized magnetic hyperthermia promotes intracellular delivery of cell-impermeant probes", submitted to Nanoscale</span></p>
Source Data for Baldelli et al., Performance of single nanopore and multi-pore membranes for blue energy
<p>HOW TO read and utilized all the files used to create Figure 2 of the manuscript.<br><br>The files are divided in two folders:<br> - Charge: in the "Charge" folder, two files can be found: rt_2nm.log and rt_5nm.log.<br> In these files, 4 tables are reported. Each table represents the ionic currents<br> (I- and I+) versus the surface charge density, for a zero applied external voltage<br> and for different nanopore geometries.<br> In particular, in the rt_2nm.log file, the charge-current curves for the conical<br> and bullet-shaped nanopores with a tip radius (rt) of 2 nm are reported.<br> In rt_5nm.log, charge-current curve for all the geometries and for rt = 5 nm are reported.<br> In principle, these files can be used to evaluate the transference number t-, Eq.(1) and<br> then Eq.(3) and Eq.(4) of the manuscript it is possible to draw all the<br> panels in Fig.2 maintaining the error low. <br> To compute the total current, that is the osmotic current since no external voltage is<br> applied, sum the second and the third column with their sign.<br> In both the files: use the first table per conical nanopore performance; the second table<br> for BS2 nanopore performance; use the third table for BS4 nanopore performance;<br> use the fourth table for BS6 nanopore performance<br> <br> - Voltage: the "Voltage" folder is divided in other two sub-folders rt_2nm and rt_5nm.<br> In this folder the complete I-V curvers for all the surface charge considered in the<br> manuscrip are reported.<br> In rt_2nm (rt_5nm) subfolder the I-V curves for the nanopores characterized<br> by a tip radius (rt) of 2 nm (5 nm) are reported.<br> In each sub-folder the I-V, one file for each surface charge considered can be found.<br> For instance, the file rt2nm_160mCm2.log contains the I-V curves for all the geometries<br> with a surface charge of 160 mC/m^2.<br> In the following, we explained how to obtain each panels of Fig.2 of the main manuscript.<br> Note that the second row of Fig.2 (panels b,d,f and h)<br> can be drawn in the same way of the first row (panels a,c,e and g), hence<br> in the following we explain only how to draw the first rows and the same approach<br> remains valid for the second one.<br> Let's start using files in the rt_2nm sub-folders.<br> - Panel (a): The osmotic current I_o, is the current for a zero applied<br> external voltage.<br> Therefore, this panel can be drawn using the first row of each column for all the files<br> in the sub-folder. Note that in the first row of a table the current for a zero voltage<br> is reported.<br> The second way to draw this panel is using the Charge/rt_2nm.log file.<br> In fact in this file the current for zero voltage and for all the charges is reported.</p> <p> - Panel (c): The membrane potential E_m is the voltage measured across the membrane<br> at zero current condition. Therefore can be obtained through the I-V curve<br> observing at which voltage value the current curve intersects the voltage axis itself.<br> For those files that contain separate ionic and cationic currents, these should be<br> summed to obtain the total current I_tot. If the file only contains tables with a <br> voltage column and I_tot, then the second column can be used directly.</p> <p> - Panel (e): The transference number t_- can be calculated using the Eq.(1).<br> For those files that contain separate ionic and cationic currents, t_- can be<br> calculated using the second (anionic current I-)<br> and third column (cationic current I+) (and Eq.(1)). <br> For those file that contain only I_tot, t- can be calculated by inverting Eq.(3)<br> (considering the activity coefficients equal to 1), having previously calculated<br> the membrane potential E_m (see the previous point).</p> <p> - Panel (g): From the I-V curve, draw the P-V curve and then estimate the maximum power.<br> If the file contains the anionic and cationic current separately, sum these currents<br> to obtain I_tot and then using it to draw the P-V curve.<br> If only I_tot is reported, use it directly to plot the P-V curve.<br> <br> For the panels (b, d, f and h) use the same approach but working with the data reported<br> in the rt_5nm sub-folder.</p>
Dataset "High-throughput screening of BAM inhibitors in native membrane environment"
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Wave propagation on a tabla membrane
<p><span>The video shows the propagation of the depression in the membrane after </span><span><span>striking a /ɽ/ <em>bol</em></span></span><span>.</span><span> <span>For such a depression to travel across the <em>syahi</em>, the black central patch 8 cm in diameter, it took a time duration corresponding to ten frames. As the images were captured at 4000 frames per second, every frame corresponds to 0.25 ms. <span> </span>Thus, 10 frames took 2.5 ms (10*0.25). Hence, the wave velocity on the membrane equals 32 m/s (8 cm/2.5 ms). </span></span></p>
DATASET - Results permeation tests double-skin Pd-based membranes, conventional Pd-based membranes and porous membranes
<p>Dataset used for:</p> <p><span>W. J. R. Ververs, M. Ongis, A. Arratibel, L. Di Felice, and F. Gallucci, “On the modeling of external mass transfer phenomena in Pd-based membrane separations,” <em>Int. J. Hydrogen Energy</em>, vol. 71, no. April, pp. 1121–1133, 2024, doi: 10.1016/j.ijhydene.2024.04.337.</span></p> <p>Contains permeation data of the following membranes:</p> <table> <tbody> <tr> <td> <p><strong>Porous membranes</strong></p> </td> <td> <p><strong> </strong></p> </td> </tr> <tr> <td> <p> S</p> </td> <td> <p>Porous Al<sub>2</sub>O<sub>3</sub> support</p> </td> </tr> <tr> <td> <p> S-YSZ/Al<sub>2</sub>O<sub>3</sub></p> </td> <td> <p>Porous YSZ/Al<sub>2</sub>O<sub>3</sub> on support</p> </td> </tr> <tr> <td> <p> S-HT</p> </td> <td> <p>Porous hydrotalcite on support</p> </td> </tr> <tr> <td> <p><strong>Conventional Pd-based membranes</strong></p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p> S-PdAg</p> </td> <td> <p>Supported PdAg membrane</p> </td> </tr> <tr> <td> <p> S-Pd</p> </td> <td> <p>Supported Pd membrane</p> </td> </tr> <tr> <td> <p><strong>Double-skin Pd-based membranes</strong></p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p> S-PdAg-YSZ/Al<sub>2</sub>O<sub>3</sub></p> </td> <td> <p>DS-PdAg membrane with YSZ/Al<sub>2</sub>O<sub>3</sub> protective layer</p> </td> </tr> <tr> <td> <p> S-PdAg-HT</p> </td> <td> <p>DS-PdAg membrane with hydrotalcite protective layer</p> </td> </tr> </tbody> </table>
OpenFoam model output for "A Fuel Cell Power Supply System Equipped with Artificial Gill Membranes for Underwater Applications"
<p>Dataset of numerical experiments carried out with OpenFOAM v 10 as used in the manuscript "A Fuel Cell Power Supply System Equipped with Artificial Gill Membranes for Underwater Applications" by Lucas Merckelbach and Prokopios Georgopanos.</p> <p> </p>
CHARMM36-UA POPE Simulations (versions 1 and 2) 310 K (NOTE: hexagonal membrane and POPE is called PEUA)
<p>Two CHARMM36-UA POPE bilayer simulations performed using GROMACS 5.0.6 for 200 ns with different starting velocities. Simulations were performed with the standard CHARMM36 settings: a 1.2 nm cut-off with PME for the Coulombic interactions and a 1.2 nm cut-off for the van der Waals interactions with the forces switched off at 1.0 nm. These simulations were performed at 310 K with a 336 hexagonal lipid bilayer. The full trajectories are provided bar the initial 100 ns. The starting structure of the membrane was made by reverse mapping an equilibrated MARTINI POPE bilayer (constructed with the INSANE script).</p>
Slipids POPE Simulations (versions 1 and 2) 310 K (NOTE: hexagonal membrane)
<p>Two Slipids POPE bilayer simulations performed using GROMACS 5.0.6 for 200 ns with different starting velocities. Simulations were performed with a 1.0 nm cut-off with PME for the Coulombic and a 1.0 nm cut-off for the van der Waals interactions interactions. These simulations were performed at 310 K with a 336 hexagonal lipid bilayer. The full trajectories are provided bar the initial 100 ns. The starting structure of the membrane was made by reverse mapping an equilibrated MARTINI POPE bilayer (constructed with the INSANE script).</p>
Simulations of POPC/POPS membranes with KCl
<p>Simulations of POPC/POPS (5:1, 144 lipids in total) membranes with 500, 1000, 2000, and 3000 mM of KCl. This is an update to a previous upload in which the PS tails were reversed, so it was actually 'OPPS'. Moreover, at 4000 mM of KCl the ions formed a crystal, so these data are omitted. The starting configurations were generated by CHARMM-GUI.</p> <p>The files of the old submission are called "PCPS-KClx" with 'x' indicating the concentration of KCl, whereas the new and corrected files are called "PCPS_KCL_x. </p> <p>Simulations of the same membrane in the presence of only counterions as well as in the presence of different amounts of CaCl_2 are available in DOI:10.5281/zenodo.897467</p> <p>The systems contain 40 waters per lipid, and additional potassium counter ions for the anionic PS. Final concentrations differ from the initial as ions adsorb to the membrane. Concentration calculated as #ion/#water = [ion]/[water], where [water]=55.5 M.</p> <p>The lipid model by Maciejewski and Rog [1,2,3] was used. Topologies (.itp) were obtained from [3] and the OPPS chains were reversed (the fixed itp is included in the upload) to create POPS. TIP3P water was used, and the ions were modelled using default OPLS ion parameters. All simulations are 300 ns long and the uploaded trajectories contain the last 200 ns. Simulation parameters common for all systems are given in the md.mdp file. Simulations were performed with Gromacs 2016.3 [4].</p> <p>For each KCl concentration, the trajectory (.xtc), energy file (.edr), checkpoint file (.cpt), run input file (.tpr), index file (.ndx), topology file (.top), and the final structure (gro) are provided. </p> <p>[1] Maciejewski et al., J. Phys Chem. B 118, 2014, pp. 4571–4581, DOI: 10.1021/jp5016627 </p> <p>[2] Kulig et al., Data in Brief 5, 2015, pp. 333–336, DOI: 10.1016/j.dib.2015.09.013</p> <p>[3] Rog et al., Data in Brief 7, 2016, pp. 1171–1174, DOI: 10.1016/j.dib.2016.03.067</p> <p>[4] Abraham et al., SoftwareX 1–2, 2015, pp. 19–25, DOI: 10.1016/j.softx.2015.06.001</p> <p> </p>
Simulations of POPC/POPS membranes with CaCl_2.
<p>Simulations of POPC/POPS (5:1, 144 lipids in total) membranes with 0, 100, 300, 1000, and 3000 mM of CaCl_2. Additionally, the systems contain 40 waters per lipid, and potassium counter ions for the anionic PS. This is an update to a previous upload in which the PS tails were reversed, so it was actually 'OPPS'. The starting configurations for the new files were generated by CHARMM-GUI.</p> <p>The new and corrected files are called "PCPS_CACL_x, where x is the concentration of CaCl_2. </p> <p>Final concentrations differ from the initial as ions adsorb to the membrane. Concentration calculated as #ion/#water = [ion]/[water], where [water]=55M.</p> <p>The lipid model by Maciejewski and Rog [1,2,3] was used. Topologies (.itp) were obtained from [3] and the OPPS chains were reversed (the fixed itp is included in the upload of the simulations of the same system with KCl: https://doi.org/10.5281/zenodo.1404040) to create POPS. TIP3P water was used, and the ions were modelled using default OPLS ion parameters. All calcium-containing simulations were 600 ns long, and the last 300 ns are included in the uploaded trajectories. The calcium-free simulation was 400 ns long and uploaded in its entirety. Simulation parameters common for all systems are given in the .mdp file. Simulations were performed with Gromacs 2016.3 [4]</p> <p>For each CaCl_2 concentration, the trajectory (.xtc), energy file (.edr), run input file (.tpr), index file (.ndx), topology file (.top), and the final structure (gro) are provided. </p> <p>[1] Maciejewski et al., J. Phys Chem. B 118, 2014, pp. 4571–4581, DOI: 10.1021/jp5016627 </p> <p>[2] Kulig et al., Data in Brief 5, 2015, pp. 333–336, DOI: 10.1016/j.dib.2015.09.013</p> <p>[3] Rog et al., Data in Brief 7, 2016, pp. 1171–1174, DOI: 10.1016/j.dib.2016.03.067</p> <p>[4] Abraham et al., SoftwareX 1–2, 2015, pp. 19–25, DOI: 10.1016/j.softx.2015.06.001</p>
Sub-cellular Fractionation of H. pylori total membrane and cytosolic components
Alterations:Total cell lysate was centrifuged at 148000 g instead of 140000 g, in order to prevent membrane contamination in cytosolic fraction.
Sub-cellular Fractionation of H. pylori to separate membrane components from cytoplasm-periplasm components
Alterations:Bacterial extracts were centrifuged at 148000 g instead og 140000g in order to prevent minor contamination of membrane components in the lysate.
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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.