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154 results for “colloids”
Fabrication of Spherical Colloidal Supraparticles via Membrane Emulsification
<p>This is the raw data for the manuscript "Fabrication of Spherical Colloidal Supraparticles via Membrane Emulsification".</p> <p>Abstract</p> <p>Colloidal supraparticles are micron-assemblies of primary particles. These supraparticles have potential application in photonic materials, catalysis, gas adsorption and drug delivery. Thus, synthesis of colloidal supraparticles with a narrow size distribution and high yield has become essential for their application in different fields of science and technology. Here, we demonstrate membrane emulsification as a high-throughput approach for fabricating spherical supraparticles with narrow size distribution and control over particle size and crystallinity. Spherical supraparticles with well-ordered surface structures are synthesized by generating emulsion droplets of an aqueous colloidal dispersion in fluorocarbon oil using a Shirasu Porous Glass membrane, followed by the consolidation of particles through water removal within the emulsion. We systematically investigate process parameters, including the flow rate of particle dispersion, particle concentration, and average pore diameter of the membrane on the mean size and size distribution of the supraparticles, revealing key factors governing supraparticle properties and production throughput. Comparative evaluation with commonly employed methods highlights the advantage of membrane emulsification, which combines well-defined internal structure and controlled supraparticle sizes with comparably high yields in the order of tens of grams per day. Importantly, in contrast to widely-used droplet-based microfluidics, membrane emulsification allows fabrication of supraparticles in non-fluorinated oil. Overall, membrane emulsification offers a simple yet versatile method for fabricating colloidal supraparticles with high quality and yield and may serve as a bridge between existing high-precision techniques such as droplet-based microfluidics and high-throughput processes with less control such as spray drying</p> <p>All data are sorted according to thier appearance in the figures of the main manuscript and the supporting infomation. All the plots data are stored as .xlsx format and content of the column can be found in the headlines, while data shown in the figures is marked in yellow. All the optical microscopy images are stored in .tif format and the file name includes scale bar value. </p> <p>DOI journal article: </p>
Precisely controlled colloids: A playground for path-wise non-equilibrium physics
<p>Particle Trajectories from Non Equilibrium Steady State (Driven) and Equilibrium state.</p> <p>Number of trajectories can be found in the Book1.xlx </p> <p>File format description on the individual *.dat files is explained in the instructions.pdf</p> <p> </p>
Dataset of the manuscript: Predictive design to determine optimal absorber placement in colloidal photonic crystals
<p><span>This data publication is based on the metadata and datasets underlying the manuscript "Predictive design to determine optimal absorber placement in colloidal photonic crystals". The Data is roughly organized by the figure of appearance.</span></p> <p><span>Figure 1 contained no result data</span></p> <p><span>Figure "Figure 2" contains:</span></p> <ul> <li><span>Simulated and experimental reflectance spectra of bare PS colloidal crystal and CIELab color coordinates of simulated bare PS colloidal crystal.</span></li> </ul> <p><span>Figure "Figure 3+4" contains:</span></p> <ul> <li><span>Data for particle based and layer based designs for chroma optimization according to Eq. 2 </span></li> <ul> <li><span>convergence history J(steps)</span></li> <li><span>Optimized design absorber distributions (average of layers)</span></li> <li><span>CIELab color coordinates</span></li> <li><span>Spectra</span></li> </ul> <li><span>CIELab color coordinates and Chroma of all predictive designs sorted by threshold L value according to Eq. 3 + comparative designs: bottom absorber, top absorber, homogeneous.</span></li> </ul> <p><span>Figure "Figure 5" contains:</span></p> <ul> <li><span>Chemdraw File containing chemical structures</span></li> <li><span>Pendant drop surface tension measurements </span></li> <li><span>Surface pressure increase on Langmuir-Blodgett trough</span></li> </ul> <p><span>Figure "Figure 6" contains:</span></p> <ul> <li><span>SEM images of mono- and multilayers labeled in accordance to design and composition</span></li> </ul> <p><span>Figure "Figure 7+8" contains:</span></p> <ul> <li><span>Photographs of fabricated multilayers</span></li> <ul> <li><span>Homogeneous designs labeled in accordance to composition</span></li> <li><span>Layered designs labeled in accordance to design type (XBA: bottom absorber with X absorbing numbers; XTA: bottom absorber with X absorbing numbers; Ld_XX: predictive design with L threshold of XX)</span></li> </ul> <li><span>Spectra of all samples including their error determined from 2 measurements</span></li> <li><span>Average spectra of all designs (averaged from all samples of that design) including their error estimated using gaussian error propagation</span></li> <li><span>Color data of all samples calculated from spectra </span></li> <ul> <li><span>CIELab coordinates and Chroma</span></li> <li><span>xyz values</span></li> <li><span>RGB values</span></li> </ul> </ul> <p><span>Figure "Figure 9" contains:</span></p> <ul> <li><span>Optimized design absorber distributions, spectra and CIELab color coordinates and chroma for colloidal crystals of varying primary particle size</span></li> </ul>
On the Crystal Structure of Colloidally Prepared Metastable Ag2Se Nanocrystals
<p>Structural polymorphism is known for many bulk materials; however, on the nanoscale metastable polymorphs tend to form more readily than in the bulk, and with more structural variety. One such metastable polymorph observed for colloidal Ag<sub>2</sub>Se nanocrystals has traditionally been referred to as the “tetragonal” phase of Ag<sub>2</sub>Se. While there are reports on the chemistry and properties of this metastable polymorph, its crystal structure, and therefore electronic structure, has yet to be determined. We report that an anti-PbCl<sub>2</sub>-like structure type (space group <em>P</em>2<sub>1</sub>/<em>n</em>) accurately describes the powder X-ray diffraction and X-ray total scattering patterns of colloidal Ag<sub>2</sub>Se nanocrystals prepared by several different methods. Density functional theory (DFT) calculations indicate that the anti-PbCl<sub>2</sub>-like Ag<sub>2</sub>Se polymorph is a dynamically stable, narrow-band gap semiconductor. DFT results reveal a dense theoretical Ag<sub>2</sub>Se phase space with many low-energy polymorphs, which helps explain the large number of polymorphs reported in the literature.</p> <p> </p> <p>Analysis and calculation data are stored in the zip archive. The `ag2se-calcs.aiida.` contains the provenance of the calculations and can be imported into an AiiDA database instance. The <a href="https://zenodo.org/api/files/baed3fb2-a4d3-49f7-a5d1-cb8da7cdbf28/antiPbCl2like_Ag2Se_laboratory.cif?versionId=36c207de-c537-4217-9b96-1ae08c2b487e">antiPbCl2like_Ag2Se_laboratory.cif</a> file is the Reitveld refined Ag2Se structure starting from the PbCl<sub>2</sub> structure.<br> </p> <p>Also hosted on <a href="https://github.com/SMTG-UCL/ag2se-anti-pbcl2-paper">GitHub</a> with minor revisions.</p> <p>Published paper: <a href="https://doi.org/10.1021/acs.nanolett.1c02045">https://doi.org/10.1021/acs.nanolett.1c02045</a></p>
Dataset of "Exciton, Biexciton, and Hot Exciton Dynamics in CsPbBr3 Colloidal Nanoplatelets"
<p>Dataset underpinning the published article:</p> <p>B. R. C. Vale; E. Socie; A. Burgos-Caminal; J. Bettini; M. A. Schiavon and J.-E. Moser.<br> Exciton, Biexciton, and Hot Exciton Dynamics in CsPbBr<sub>3</sub> Colloidal Nanoplatelets<br> <em>J. Phys. Chem. Lett. </em><strong>2020</strong>, <em>11</em>, 387-394; <a href="https://pubs.acs.org/doi/10.1021/acs.jpclett.9b03282">DOI: 10.1021/acs.jpclett.9b03282.</a>.</p>
Sensitized photon avalanche nanothermometry in Pr3+ and Yb3+ co-doped NaYF4 colloidal nanoparticles
<p>ABSTRACT</p> <p>Photon avalanche (PA) is a highly nonlinear luminescence phenomenon that occurs in lanthanide doped materials. PA exhibits a very steep power law relationship between luminescence intensity and the optical pump power. Due to the mechanism of PA emission, even weak perturbations to the energy looping and energy distribution within excited levels of lanthanide emitters are expected to significantly modify luminescent properties. Therefore, in this work, we experimentally study the impact of temperature (from – 175 to 175 °C, with 25 °C steps) on the sensitized PA emission in NaYF<sub>4</sub> nanoparticles co-doped with 15% of Yb<sup>3+</sup> and 0.5% of Pr<sup>3+</sup> ions under 852 nm pumping wavelength. Significant variations of the PA nonlinearity (<em>S</em> =&thinsp;4.5–9), PA gain (from 50 up to 175), and PA threshold (from 100 up to 700 kW/cm<sup>2</sup>) were observed under temperature rise from – 175 to 175 °C, respectively. The relative temperature sensitivities based on luminescence intensity changes were larger than 1.5% °C<sup>–1</sup> in the whole temperature range, reaching the maximal value of 7.5% °C<sup>–1</sup> at 0 °C. Moreover, a new thermometric parameter was proposed, namely, the PA pump power threshold, which exhibited over 0.5% °C<sup>–1</sup> relative sensitivities in the same wide temperature range. Owing to PA properties, the temperature sensitivity range and the corresponding relative sensitivities may be intentionally tuned by selecting the appropriate pump intensity in respect to the power dependence relationship. These studies not only provide a better understanding of fundamental processes and susceptibility of the sensitized photon avalanche emission to temperature variation, but also show the possibility of using PA materials as sensitive (nano)thermometers.</p>
Colloidal network oleogels structured by sonothermal conjugates of sodium caseinate and anionic gums
<p>The raw data of Maillard conjugates, Maillard conjugate-stabilized emulsions and oleogels.</p> <p>The optical microscopic images of Maillard conjugate-stabilized emulsions.</p> <p>Centrifugation and storage stability of emulsions.</p> <p> </p>
Whole-Genome Detection using Multivalent DNA-Coated Colloids
<p>Data of confocal images and DNA sequence of a E.coli bl21-de3 genome presented in a PNAS publication.</p>
Observation of liquid glass in suspensions of ellipsoidal colloid
<p>While all analyzed correlation functions are in the manuscript and supporting information, here, original particle trajectories from experiment and simulations are stored which are analyzed in the Publication</p> <p>"Observation of liquid glass in suspensions of ellipsoidal colloids"</p> <p>by J. Roller, A. Laganapan, J.-M. Meijer, M. Fuchs, and A. Zumbusch</p>
Dataset: Thermal noise calibration of functionalized cantilevers for force microscopy: effects of the colloidal probe position.
<p>Dataset for article "Thermal noise calibration of functionalized cantilevers for force microscopy: effects of the colloidal probe position"</p><p>The raw data is in the 6 zip files (AIO*.zip), which contains thermal noise spectra measured on the raw cantilevers close to the free end (folders AIO#, where #=1, 2 or 3 for samples A, B or C), or on the loaded cantilever at various positions along its length (folders AIO#-ScanHF, where #=1, 2 or 3 for samples A, B or C). The file format is Matlab data file (.mat), it include the vectors f (for frequency axis, in Hz) and p (power spectrum density, in m^2/Hz). Other variables are erreur (some internal check that the calibration of the interferometer is pertinent) and PointW (mean intensity collected by the interferometer, and mean contrast on the 2 quadrature signals). For the loaded cantilever, we also record the laser spot position (XFaisceau and YFaisceau, in µm, origin close to the free end on the cantilever), some timing information to track for drifts, and ellipse (a calibration step of the quadrature phase interferometer).</p><p>The SEM images of the samples are included in the zip file SEMimages.zip</p><p>All analysis scripts (Matlab .m files) are included:</p><ul><li>AnalyseAll.m reads the raw data files and extract all the pertinent information, saving it to file AnalyseAll.mat</li><li>Analysis_cp analyses the pre-processed data with the single contact point model</li><li>Analysis_endload analyses the pre-processed data with the rigid end load model</li><li>figspectrum.m creates Fig. 4 of the article</li><li>plot_cp_endload.m creates Fig. 5 and 6 of the article</li></ul><p>All other scripts (.m) are dependencies that are necessary for the 3 former scripts to run. All scripts are commented and should be self explanatory. Of interest are the scripts mode_shape_cp.m and mode_shape_endload.m, which compute the resonant mode shape of a loaded cantilever for the two models, when given the parameters on the load size and position.</p>
Effect of salinity on flows of dense colloidal suspensions
<p>Dataset for the article "Effect of salinity on flows of dense colloidal suspensions".</p>
Determining intrinsic potentials and validating optical binding forces between colloidal particles using optical tweezers - Part II
<p>Dataset Part II for publication "Determining intrinsic potentials and validating optical binding forces between colloidal particles using optical tweezers", in Nature Communications.</p>
Determining intrinsic potentials and validating optical binding forces between colloidal particles using optical tweezers - Part I
<p>Dataset Part I for publication "Determining intrinsic potentials and validating optical binding forces between colloidal particles using optical tweezers", in Nature Communications.</p>
A data set on_Electrical and colloidal properties of hydrogenated nanodiamonds: effects of structure, composition and size
<p>The data set to paper: </p> <p>Electrical and colloidal properties of hydrogenated nanodiamonds: effects of structure, composition and size</p> <p>Stepan Stehlik1,2*, Ondrej Szabo2, Ekaterina Shagieva2, Daria Miliaieva2, Alexander Kromka2, Zuzana Nemeckova3, Jiri Henych3, 4, Jan Kozempel5, Evgeny Ekimov6, Bohuslav Rezek7</p> <p>1 New Technologies – Research Centre, University of West Bohemia, Univerzitní 8, 306 14, Pilsen, Czechia<br>2 Institute of Physics of the Czech Academy of Sciences, Cukrovarnická 10, 162 00 Prague 6, Czechia<br>3 Institute of Inorganic Chemistry of the Czech Academy of Sciences, 250 68 Husinec-Řež, Czechia<br>4 Faculty of Environment, Jan Evangelista Purkyně University in Ústí nad Labem, Pasteurova 3632/15, 400 96 Ústí nad Labem, Czechia<br>5 Department of Nuclear Chemistry, Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Břehová 7, Prague 1, 115 19, Czechia<br>6 Vereshchagin Institute for High Pressure Physics, Russian Academy of Sciences, Moscow 108840, Russia<br>7 Faculty of Electrical Engineering, Czech Technical University in Prague, Technická 2, 166 27 Prague, Czechia</p> <p>*principal investigator: stehlik@fzu.cz</p> <p>Data manager: Jan Jaroš: Jan.Jaros2@vut.cz</p> <p>Date of data collection: 1. 6. 2020 - 18. 1. 2024</p> <p>All the data showed in the pictures are provided in X-Y format with described sample. Always, the respective Figure to which the data belong is provided in high resolution. <br>The data are in the following formats: <br>Figure 1: tiff, csv<br>Figure 2: tiff, csv<br>Figure 3: tiff, csv<br>Figure 4: tiff, csv<br>Figure 5: tiff, csv<br>Figure 6: tiff</p> <p>Data acquistion methods and conditions and data processing is provided in the Experimental part in the publication: DOI:10.1016/j.cartre.2024.100327</p> <p> </p> <p><span> </span></p>
Results of core filtration tests to assess the reduction in permeability due to colloid migration
<p>Results of filtration tests of three core samples, filtered liquid - deionized water and kerosene. Filtration installation - AFS-300. Filtering conditions inside files. Core samples are registered in IGSN, the numbers and type of fluid are indicated in the file name. Prior to filtration, the samples are saturated under vacuum for 24 hours. Before filtration, the samples were kept in an AFS-300 core holder at confining and pore pressure for 24 hours.</p> <p>New data added (08/03/2022)</p>
Supporting Data for Electrolyte-Induced Instability of Colloidal Dispersions in Nonpolar Solvents (J. Phys. Chem. Lett., doi:10.1021/acs.jpclett.7b01685)
<p>Raw data: interaction force curves (separation [m], force [N], error force [N]) and small-angle neutron scattering curves (Q [1/Å], I(Q) [1/cm], error I(Q) [1/cm]).</p>
Replication Data for: Boolean Circuits in Colloidal Mixtures of ZnO and Proteinoids
<h2><span>Replication Data for: Boolean Circuits in Colloidal Mixtures of ZnO and Proteinoids</span></h2>
Ultra-dilute Au colloids
<p>Galaxy RO Crate object containing the workflow and data with the reproduction of the results published in: George F. Tierney, Donato Decarolis, Norli Abdullah, Scott M. Rogers, Shusaku Hayama, Martha Briceno de Gutierrez, Alberto Villa, C. Richard A. Catlow, Paul Collier, Nikolaos Dimitratos and Peter P. Wells (2019) Extracting structural information of Au colloids at ultra-dilute concentrations: identification of growth during nanoparticle immobilization. Nanoscale Advances. V. 1. pp. 2546-2552. DOI: 10.1039/C9NA00159J.</p> <p>This RO is published as part of the research data submitted for the paper <strong>Facilitating Reproducibility in Catalysis Research with Managed Workflows and RO-Crates: A Galaxy Case Study</strong>, ChemCatChem, DOI: 10.1002/cctc.202401676.</p>
Revisiting the Density Profile of the Fuzzy Sphere Model for Microgel Colloids v2
<p>This Zenodo repository contains data supporting the paper “Revisiting the density profile of the fuzzy sphere model for microgel colloids”, Frank Scheffold, Soft Matter 2024, DOI: 10.1039/d4sm01045k </p>
Supplemental information and Data for: Colloidal physics modeling reveals how per-ribosome productivity increases with growth rate in E. coli
<p>Faster growing cells must synthesize proteins more quickly. Increased ribosome abundance only partly accounts for increases in total protein synthesis rates. The productivity of individual ribosomes must increase too, almost doubling by an unknown mechanism. Prior models point to diffusive transport as a limiting factor but surface a paradox: faster growing cells are more crowded, yet crowding slows diffusion. We suspected physical crowding, transport, and stoichiometry, considered together, might reveal a more nuanced explanation. To investigate, we built a first-principles physics-based model of <em>E. coli</em> cytoplasm in which Brownian motion and diffusion arise directly from physical interactions between individual molecules of finite size, density, and physiological abundance. Using our microscopically-detailed model, we predict that physical transport of individual ternary complexes accounts for ~80% of translation elongation latency. We also find that volumetric crowding increases at faster growth even as cytoplasmic mass density remains relatively constant. Despite slowed diffusion, we predict that improved proximity between ternary complexes and ribosomes wins out, illustrating a simple physics-based mechanism for how individual elongating ribosomes become more productive. We speculate how crowding imposes a physical limit on growth rate and undergirds cellular behavior more broadly. Unfitted colloidal-scale modeling offers systems biology a complementary "physics engine" for exploring how cellular-scale behaviors arise from physical transport and reactions among individual molecules.</p>
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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.