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101 results for “micelles”
Research data supporting: "Unsupervised Data-Driven Reconstruction of Molecular Motifs in Simple to Complex Dynamic Micelles"
<p>This repository contains the set of data shown in the paper <strong>"Unsupervised Data-Driven Reconstruction of Molecular Motifs in Simple to Complex Dynamic Micelles"</strong>, published on The Journal of Physical Chemistry B (DOI:10.1021/acs.jpcb.2c08726).</p>
Diffusion Coefficient Analysis by Dynamic Light Scattering Enables Determination of Critical Micelle Concentration
<p>This upload contains dynamic light scattering data files obtained from the work described in the manuscript that is published by Lena Nielinger and co-workers in ChemPlusChem (<a href="https://doi.org/10.1002/cplu.202400645">https://doi.org/10.1002/cplu.202400645</a>) (WILEY). The files in this repository contain dynamic light scattering data obtained from the analysis of different detergents series and can be downloaded and analysed with a Zetasizer software according to the instructions procied in the manuscript. For information on how to obtain the the Zetasizer software, we refer to the customer support and/or website of the company Malvern Panalytical.</p>
Supporting Data for "Casein micelles in milk as sticky spheres" (Soft Matter, doi:10.1039/D0SM01327G)
<p>Merged ultra-small-angle X-ray scattering (USAXS) and small-angle X-ray scattering (SAXS) data after processing using USAXS macros and Irena in IGOR Pro, using the procedures described in the paper.</p> <p>Three column data [Q in 1/Å, I(Q) in 1/cm, uncertainty I(Q) in 1/cm]</p>
Loading-Dependent Structural Model of Polymeric Micelles Encapsulating Curcumin by Solid-State NMR Spectroscopy
<p>(Raw) experimental and calculation data, which was the basis for this publication.</p> <ul> <li>DOSY</li> <li>solid-state NMR</li> <li>PXRD</li> <li>Dissolution Rates</li> <li>GIPAW (CASTEP) calculations</li> </ul>
Molecular dynamics simulation input files: Dynamics of amphiphilic poly($\varepsilon$-caprolactone) micelles with doxorubicin and transition temperature predictions using all-atom molecular dynamics simulation
<p>The files uploaded contain the input files for simulations:<br><br>1) P10_Solv: Input files for drug-free micelles.<br>2) Micelle_Solv: Input files for drug-loaded micelles.</p>
Shape of AOT reverse micelles: the mesoscopic assembly is more than the sum of the parts
Open the record for dataset details and reuse information.
SDS micelle, MD simulation, Gromacs 5.0, CHARMM36
<p>Molecular dynamics simulation of SDS micelle. Gromacs 5.0, CHARMM36. Files generated with CHARMM GUI. System contains 60 SDS molecules, 16854 water molecules and 60 sodium ions. Temperature T=293K. Length is 20ns.</p>
Non-fluorinated electrolytes with micelle-like solvation for ultrahigh energy density lithium metal batteries
<p>Electrolyte engineering plays a critical role in enabling lithium (Li) metal batteries. However, the simultaneous realization of anion-rich solvation structure and high ionic conductivity of electrolytes via solvation structure design remains challenging. Here, we report a low-cost, non-fluorinated electrolyte with a micelle-like solvation structure by introducing amphiphilic n-butyl methyl ether (MNBE) into lithium bis(fluorosulfonyl)imide (LiFSI)/1,2-dimethoxyethane (DME) for stable Li metal batteries. MNBE can effectively promote Li+-FSI- coordination through steric crowding. Meanwhile, the inert alkyl chains of MNBE can mitigate the reaction between electrolyte and Li metal due to their lithiophobicity. Specifically, the micelle-like, non-fluorinated electrolyte exhibits an ionic conductivity as high as 12.55 mS cm-1 and its anion-rich solvation structure promotes the formation of LiF-rich solid-electrolyte-interphase. We constructed a 7.3 Ah Li||NMC811 pouch cell employing this electrolyte under harsh conditions, exhibiting ultrahigh specific energy of 503.7 Wh kg-1 with impressive cycling stability of 84.1% capacity retention after 100 cycles. </p>
Synthesis and Complex Self-Assembly of Amphiphilic Block Copolymers with a Branched Hydrophobic Poly(2-oxazoline) into Multicompartment Micelles, Pseudovesicles and Yolk/Shell Nanoparticles
<p>Data underlying the figures in the publication “Synthesis and complex self-assembly of amphiphilic block copolymers with a branched hydrophobic poly(2-oxazoline) into multicompartment micelles, pseudovesicles and yolk/shell nanoparticles”, published in <em>Polym. Chem.</em>, <strong>2020</strong>, 11, 1237–1248. <a href="https://pubs.rsc.org/en/content/articlepdf/2020/py/c9py01559k">https://pubs.rsc.org/en/content/articlepdf/2020/py/c9py01559k</a></p> <p>Table of contents:</p> <p><strong>1. Figure 2_Kinetics</strong>; Origin file with the data for <em>Figure 2</em>, presenting the kinetics of polymerization of EHOx on PEO-Nos in Chlorobenzene and Acetonitrile. </p> <p><strong>2. Figure 3_GPC Trace</strong>; Origin file with the data for the GPC traces in <em>Figure 3</em>. It contains the exportation of the raw data from our GPC instrument, processing of the data (normalization) and the final illustration as a graphic. </p> <p><strong>3. Figure 4_DSC</strong>; Origin file with the data for <em>Figure 4.</em> It contains the exportation of all the DSC curves measured by our DSC and the final curves/graphic used.</p> <p><strong>4. Figure 5</strong>; Zip file containing all the different Cryo-TEM and TEM images used for <em>Figure 5 </em>with a precise label, please refer to Table 1 for the name of the polymers.</p> <p><strong>5. Figure 7_Self-assembly</strong>; Origin file with the data for <em>Figure 7</em>. It contains all the data from the deblocks used in this publication and gathered it in the corresponding graph. Labels were added later by Powerpoint.</p> <p><strong>6. Table 1</strong>; Excel file that contains all the various information about the different polymers used in this publication that were obtained by NMR, GPC. (Cf Materials and Methods)</p> <p><strong>7. Table 2</strong>; Excel file that contains all the various information about DLS/SLS of the various self-assemblies by film rehydration and solvent switch.</p> <p><strong>8. SI Dataset</strong>; Zip file that contains all the various TEM and Cryo-TEM images in jpg/tif and in higher resolution, the extra DSC diblocks curves as well as the calculation of dn/dc used in the Supplementary Information.</p> <p> </p>
Empty micelle - 60 SDS - Na neutralized - CHARMM36m - 293K - OPC water model - replica 2 - every 100 fs
<p>Empty micelle simulation to investigate the effect of water model and peptide on SRD. Use of a higher saving frequency in order to investigate the existence of faster timescales in the relaxation data. Start frame being the end frame from "Empty micelle - 60 SDS - q0.38 - PBS neutralized - CHARMM36m - 293K - OPC water model - replica 0"</p>
Empty micelle - 60 SDS - Na neutralized - CHARMM36m - 293K - OPC water model - replica 0 - every 100 fs
<p>Empty micelle simulation to investigate the effect of water model and peptide on SRD. Use of a higher saving frequency in order to investigate the existence of faster timescales in the relaxation data. Start frame being the first frame from "Empty micelle - 60 SDS - q0.38 - PBS neutralized - CHARMM36m - 293K - OPC water model - replica 0"</p>
Empty micelle - 60 SDS - Na neutralized - CHARMM36m - 293K - OPC water model - replica 1 - every 100 fs
<p>Empty micelle simulation to investigate the effect of water model and peptide on SRD. Use of a higher saving frequency in order to investigate the existence of faster timescales in the relaxation data. Start frame being the middle frame from "Empty micelle - 60 SDS - q0.38 - PBS neutralized - CHARMM36m - 293K - OPC water model - replica 0"</p>
Micelle size screening - Gwalp tail anchor dimer simulation - 45 SDS - Na neutralized - CHARMM36m - 310K - OPC water model
<p>Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data with dimers of a given peptide.</p>
Micelle size screening - yFis1 tail anchor dimer simulation - 50SDS - Na neutralized - CHARMM36m - 310K - OPC water model
<p>Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data with dimers of a given peptide.</p>
Micelle size screening - eElaB tail anchor dimer simulation - 50 SDS - Na neutralized - CHARMM36m - 310K - OPC water model
<p>Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data with dimers of a given peptide.</p>
Micelle size screening - Gwalp tail anchor dimer simulation - 40 SDS - Na neutralized - CHARMM36m - 310K - OPC water model
<p>Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data with dimers of a given peptide.</p>
Micelle size screening - Gwalp tail anchor dimer simulation - 70 SDS - Na neutralized - CHARMM36m - 310K - OPC water model
<p>Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data with dimers of a given peptide.</p>
Micelle size screening - Gwalp tail anchor dimer simulation - 50 SDS - Na neutralized - CHARMM36m - 310K - OPC water model
<p>Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data with dimers of a given peptide.</p>
Micelle size screening - Gwalp tail anchor simulation - 50 SDS - Na neutralized - CHARMM36m - 310K - OPC water model
<p>Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.</p>
Micelle size screening - Gwalp tail anchor simulation - 45 SDS - Na neutralized - CHARMM36m - 310K - OPC water model
<p>Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.</p>
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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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.