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154 results for “colloids”
Experimental data for "Deep Learning Methods for Colloidal Silver Nanoparticle Concentration and Size Distribution Determination from UV-Vis Extinction Spectra"
<p>Testing data (experimental data) for neural networks published in preprint https://doi.org/10.48550/arXiv.2404.10891</p> <p>The UV-VIS-NIR spectral data was also used in the dissertation of Nadzeya Khinevch, titled "Two-dimensional structures of nanoparticles for elements of surface-enhanced Raman scattering substrates".</p> <p>Emails of the corresponding authors:</p> <p>Tomas Klinavičius tomas.klinavicius@ktu.lt</p> <p>Tomas Tamulevičius tomas.tamulevicius@ktu.lt</p>
Catalyst Supraparticles: Tuning the Structure of Spray‐Dried Pt/SiO2 Supraparticles via Salt‐Based Colloidal Manipulation to Control their Catalytic Performance
<p>This data publication is based on the metadata and raw datasets underlying the manuscript: P. Groppe, J. Reichstein, S. Carl, C. Cuadrado Collados, B.-J. Niebuur, K. Zhang, B. Apeleo Zubiri, J. Libuda, T. Kraus, T. Retzer, M. Thommes, E. Spiecker, S. Wintzheimer, K. Mandel, Catalyst Supraparticles: Tuning the Structure of Spray-Dried Pt/SiO2 Supraparticles via Salt-Based Colloidal Manipulation to Control their Catalytic Performance. Small 2024, 2310813. https://doi.org/10.1002/smll.202310813</p> <p>A detailed description of the dataset is given in the attached "Raw data assignment.xlsx"</p>
Entropy-Driven Crystallization of Hard Colloidal Mixtures of Polymers and Monomers
<p>Data archive corresponding to the publication "Entropy-Driven Crystallization of Hard Colloidal Mixtures of Polymers and Monomers " by O. Bouzid <em>et al</em>., Polymers <strong>16</strong>, 2311 (2024). </p> <p>Preprint available at: 10.20944/preprints202407.0786.v1</p> <p>Please see README.txt for instructions on how to access and read the files from the crystallographic analysis based on the CCE norm descriptor.</p> <p>All system configurations have been generated and successively analyzed by the Simu-D software.</p> <p> </p> <p>This research was funded by MICINN/FEDER (Ministerio de Ciencia, Innovación y Universidades, Fondo Europeo de Desarrollo Regional), grant number “PID2021-127533NB-I00”, by the scholarship program from the Algerian Ministry of Higher Education and Scientific Research and by UPM and Santander Bank, “Programa Propio UPM Santander”.</p>
Data set for the journal article: Colloidal-ALD Grown Metal Oxide Shells Enable the Synthesis of Photoactive Ligand/ Nanocrystal Composite Materials
<p>The data for each figure of the main manuscript is included in this folder.</p> <p>Figure 1 is not included as it contains no data.</p> <p>The folder for Figure 2 contains a sub-folder for the EDX and NMR data of 9-ACA/PbS@AlOx. The NMR data was processed by Mestrenova.</p> <p>The folder for Figure 3 contains optical absorption spectrum data of 9-ACA/PbS@AlOx.</p> <p>The folder for Figure 4 contains NMR data which was processed by Mestrenova. It contains the data for 9-ACA/CuInS2@AlOx, 1-PCA/CsPbBr3@AlOx and 9-PTA/CsPbBr3@AlOx.</p> <p>The folder for Figure 5 is made of three sub-folders for figure 5A, 5B and 5C. 5A and 5B contain optical absorption for the CuInS2 and CsPbBr3 datasets while 5C contain time resolved data for CsPbBr3.</p> <p>The folder for Figure 6 contains time resolved PL for the as synthesized CsPbBr3, 1-PCA/CsPbBr3@AlOx and 9-PTA/CsPbBr3@AlOx. The 9-PTA/CsPbBr3@AlOx data contain two decays that span 200 ns (short) or 13.5 us (long).</p> <p>The folder for Figure 7 contains time resolved PL for the as synthesized 9-PTA/CsPbBr3@AlOx and 1-PCA/9-PTA/CsPbBr3@AlOx. For both samples the data contain two decays that span 200 ns (short) or 13.5 us (long). Also an NMR folder is present with the 1H spectrum for 9-PTA/CsPbBr3@AlOx and 1-PCA/9-PTA/CsPbBr3@AlOx.</p> <p> </p> <p> </p>
Influence of cation concentration and valence on the structure and texture of spray-dried supraparticles from colloidal silica dispersions
<p>These datasets display the raw data for the manuscript: Huanhuan Zhou, Philipp Groppe, Thomas Zimmermann, Susanne Wintzheimer, Karl Mandel, Influence of cation concentration and valence on the structure and texture of spray-dried supraparticles from colloidal silica dispersions, Journal of Colloid and Interface Science, Volume 658,<br>2024, Pages 199-208, https://doi.org/10.1016/j.jcis.2023.12.051.</p> <p>The data connection file serves as an explanation for all datasets and their connection to the data displayed in the manuscript.</p>
Effect of salinity on flows of dense colloidal suspensions - Additional Data
<p>Additional dataset for the article "Effect of salinity on flows of dense colloidal suspensions".</p>
Optical tweezer platform for the characterization of pH-triggered colloidal transformations in the oleic acid/water system
<p>Hypothesis: Soft colloidal particles that respond to their environment have innovative potential for many fields ranging from food and health to biotechnology and oil recovery. The in situ characterisation of colloidal transformations that triggers the functional response remain a challenge.</p> <p>Experiments: This study demonstrates the combination of an optical <a href="https://www.sciencedirect.com/topics/physics-and-astronomy/micromanipulation">micromanipulation</a> platform, polarized optical video microscopy and <a href="https://www.sciencedirect.com/topics/physics-and-astronomy/microfluidics">microfluidics</a> in a comprehensive approach for the analysis of pH-driven structural transformations in emulsions. The new platform, together with <a href="https://www.sciencedirect.com/topics/physics-and-astronomy/synchrotron">synchrotron</a> small angle X-ray scattering, was then applied to research the food-relevant, pH-responsive, <a href="https://www.sciencedirect.com/topics/chemistry/oleic-acid">oleic acid</a> in water system.</p> <p>Findings: The experiments demonstrate structural transformations in individual oleic acid particles from micron-sized onion-type multilamellar oleic acid vesicles at pH 8.6, to nanostructured emulsions at pH < 8.0, and eventually oil droplets at pH < 6.5. The smooth particle-water interface of the onion-type vesicles at pH 8.6 was transformed into a rough particle surface at pH below 7.5. The pH-triggered changes of the interfacial tension at the droplet-water interface together with mass transport owing to structural transformations induced a self-propelled motion of the particle. The results of this study contribute to the fundamental understanding of the structure–property relationship in pH-responsive emulsions for nutrient and drug delivery applications.</p>
Three-dimensional Reconstructions and Quantitative Indicators for colloidal particles in Dry and Liquid Conditions in Scanning Transmission Electron Microscope (STEM)
<p>This dataset accompanies the research presented in the paper:</p> <div>Esteban, D.A., Wang, D., Kadu, A., Olluyn, N., Iglesias, A.S., Perez, A.G., Casablanca, J.G., Nicolopoulos, S., Liz-Marzán, L.M. and Bals, S., 2023. Liquid phase fast electron tomography unravels the true 3D structure of colloidal assemblies. <em>arXiv preprint arXiv:2311.05309</em>. [<a href="https://arxiv.org/pdf/2311.05309" target="_blank" rel="noopener">link</a>]</div> <p>It provides a comprehensive collection of three-dimensional reconstructions and quantitative descriptors for small colloidal particles. These gold nanoparticles are arranged in tetrahedral and other intricate geometries under both dry and liquid conditions. The dataset contains 3D reconstructions and quantitative indicators such as centroids, volumes, surface areas, solidity measures, and principal axis lengths for assemblies with 4, 5, and 6 particles. </p> <p>The dataset includes: <code>N4_dry_dart.rec</code> and <code>N4_liquid_dart.rec</code> for the 3D reconstructions of an assembly with 4 particles in dry and liquid conditions respectively; <code>N4_quant_descriptors_dry.mat</code> and <code>N4_quant_descriptors_liquid.mat</code> providing quantitative descriptors for these conditions. Similar files are provided for assemblies with 5 and 6 particles, such as <code>N5_dry_dart.rec</code>, <code>N5_liquid_dart.rec</code>, <code>N5_quant_descriptors_dry.mat</code>, <code>N5_quant_descriptors_liquid.mat</code>, and the corresponding files for N6. </p> <p>This dataset can be used to study the structural dynamics of nanoparticle assemblies and studies in colloidal chemistry, materials science, and nanotechnology. The <code>.rec</code> files can be visualized using volume rendering software (e.g. Amira or Avizo), while the <code>.mat</code> files contain structured data for analysis in MATLAB. The supporting code and scripts for this dataset are available on the GitHub repository: <a href="https://github.com/ajinkyakadu/LiquidET_NatComm2024" target="_new" rel="noreferrer">https://github.com/ajinkyakadu/LiquidET_NatComm2024</a>. </p>
Dataset From: Measuring Inner Layer Capacitance with the Colloidal Probe Technique
<p>The dataset for the publication "Measuring Inner Layer Capacitance with the Colloidal Probe Technique". doi:10.3390/colloids2040065</p> <p>Files containing data have .dat extension and are in text format.</p>
Customizable induction heating profiles: from tailored colloidally stable nanoparticles towards multi-stage heatable supraparticles
<p>This data publication is based on the metadata and datasets underlying the manuscript: "Inductively heatable nano- and supraparticles: from colloidally stable hot nanoparticles to supraparticles with customizable multi-stage heating profiles"</p> <p>Magnetic nanoparticles (NPs) are efficient heat mediators in induction heating. Originally explored for hyperthermia, their applications have broadened to industrial processes where temperature control is crucial. By adjusting the NP composition or morphology, magnetic characteristics such as Curie temperatures can be tailored, allowing control over maximum heating thresholds. These NPs are, however, usually designed for maximum heating rates at specific magnetic fields. In this work, the synthesis is presented for colloidally stable Co and ZnCo ferrite NPs with customizable maximum heating temperatures, and their combination within micron-scaled supraparticles (SPs). Maximum induction heating temperatures of ZnCo ferrite NPs are tuned between 150 and 220 °C, while customization of Co ferrite species yields temperatures between 200 and 350 °C. These distinct magnetic properties are exploited in the selective multi-stage heating of SPs consisting of both species. Here, ZnCo ferrite components heat up to a first temperature plateau at low alternating magnetic fields (AMF), while Co ferrite NPs reach higher temperatures at increased AMF. The precise control of induction heating thresholds through the adaptability of NPs offers a high degree of customizability which makes induction heating particularly attractive for applications requiring sequential or spatial heating, such as catalysis or debonding on demand.</p>
Photonic crystals with rainbow colors by centrifugation-assisted assembly of colloidal lignin nanoparticles
<p>Source data (CSV files) associated with the publication titled <strong>Photonic crystals with rainbow colors by </strong><strong>centrifugation-assisted assembly </strong><strong>of colloidal lignin nanoparticles</strong>.</p>
Fine-Tuning of Colloidal Polymer Crystals by Molecular Simulation
<p>Data archive corresponding to the manuscript "Fine-Tuning of Colloidal Polymer Crystals by Molecular Simulation" by M. Herranz et al., Phys. Rev. E 107, 064605 (2023); DOI: 10.1103/PhysRevE.107.064605</p> <p>Please see README.txt for instructions on how to access and read the files from the crystallographic analysis based on the CCE norm descriptor.</p> <p>All snapshots have been generated and successively analyzed by the Simu-D software.</p>
SURFBIO Training: "Analytical methods for the study of microbial cell-Surface and Surface-colloid interactions" (2021)
<p>2021. SURFBIO project training within WP1.</p><p>Content:</p><ul><li><strong>Webinar on Vertical scanning interferometry: a microscopic technique to analyze surface reactivity, </strong>by Dr. Cornelius Fischer (HZDR, Germany) </li><li><strong>Webinar on An introduction to radiolabelling as a versatile tool in colloid tracing, </strong>by Stefan Schymura (HZDR, Germany).</li><li><strong>Webinar on Development and construction of biocarriers and aggregates for potential industrial applications</strong>, by Dr. Andre Skirtach and Dr. Bogdan Parakhonskiy (GHENT University). </li><li><strong>Materials and fluidic design to study artificially functionalized microorganisms</strong>, by Dr. Andre Skirtach and Dr. Bogdan Parakhonskiy (GHENT University). </li></ul>
Dataset for article: Antimicrobial peptide induced colloidal transformations in bacteria-mimetic vesicles: Combining in silico tools and experimental methods
<p><strong>Dataset for publication:</strong></p><p>Antimicrobial peptide induced colloidal transformations in bacteria-mimetic vesicles: Combining in silico tools and experimental methods<br><i>Rafael V.M. Freire, Yeny Pillco-Valencia, Gabriel C.A. da Hora, Madeleine Ramstedt, Linda Sandblad, Thereza A. Soares, Stefan Salentinig</i><br>Journal of Colloid and Interface Science Volume 596, 15 August 2021, Pages 352-363 https://doi.org/10.1016/j.jcis.2021.03.060</p><p>Setup and conditions for the experiments are described in the experimental section of the published (open access) manuscript.</p><p>Data description in README.txt file.</p>
Replication Data for Coloring Tetrahedral Semiconductors: Synthesis and Photoluminescence Enhancement of Ternary II-III2‑VI4 Colloidal Nanocrystals
<p>Ternary tetrahedral II-III2-VI4 semiconductors, where II is Zn or Cd, III In or Ga, and VI S, Se, or Te, are of interest in UV radiation detectors in medicine and space physics as well as CO2 photoreduction under visible light. We synthesize colloidal II-III2-VI4 semiconductor nanocrystals from readily available precursors and<br>ascertain their ternary nature by structural and spectroscopic methods, including 77Se solid-state NMR spectroscopy. The pyramidally shaped nanocrystals range between 2 and 12 nm and exhibit optical gaps of 2−3.9 eV. In the presence of excess anions on the particle surface, treatment with Lewis acidic, Z-type ligands results in better passivation and enhanced photoluminescence. Electronic structure calculations reveal<br>the most stable, lowest energy polymorphs and coloring patterns. This work will pave the way toward more environmentally friendly, ternary semiconductors for optoelectronics and electrocatalysis.</p>
Riverine truly dissolved, colloidal, and operationally dissolved ferric iron, dissolved organic carbon, UV-vis absorbance at 254 and 412 nm, and specific UV absorbance (SUVA) at 254 nm
<p>This dataset is attached to the following article:</p> <p>Logozzo, L.A., Martin, J.W., McArthur, J., Raymond, P.A. Contributions of Fe(III) to UV-vis absorbance in river water: A case study on the Connecticut River and argument for the systematic tandem measurement of Fe(III) and CDOM. <em>Biogeochemistry</em> <strong>160</strong>: 17–33 (2022). https://doi.org/10.1007/s10533-022-00937-5</p> <p>This dataset includes concentrations of ferric iron, Fe(III), and dissolved organic carbon (DOC) along with UV-vis absorbance at 254 nm and 412 nm on the operationally dissolved size fraction (<0.22 μm), as well as the truly dissolved (<0.02 μm) and colloidal (0.02-0.22 μm) size fractions. Samples were collected every two weeks at five sites along the Connecticut River mainstem from 2018 to 2020 and at 7 sites in the Connecticut River watershed sampled once synoptically during the summer 2019.</p>
Colloidal-ALD Grown Hybrid Shells Nucleate via a Ligand–Precursor Complex
<p>Colloidal atomic layer deposition (c-ALD) enables the growth of hybrid organic–inorganic oxide shells with tunable thickness<br> at the nanometer scale around ligand-functionalized inorganic nanoparticles (NPs). This recently developed method has demonstrated improved stability of NPs and of their dispersions, a key requirement for their application.<br> Nevertheless, the mechanism by which the inorganic shells form is still unknown, as is the nature of multiple complex interfaces between the NPs, the organic ligands functionalizing the surface, and the shell. Here, we demonstrate that carboxylate ligands are the key element that enables the synthesis of these core–shell structures. Dynamic nuclear polarization surface-enhanced nuclear magnetic resonance spectroscopy (DNP SENS) in combination with density functional theory (DFT) structure calculations shows that the addition of the aluminum organometallic precursor forms a ligand–precursor complex that interacts with the NP surface. This ligand–precursor complex is the first step for the nucleation of the shell and enables its further growth.</p>
Standardization of Methodology of Light-to-Heat Conversion Efficiency Determination for Colloidal Nanoheaters
<p>Localized photothermal therapy (PTT) has been demonstrated to be a promising method of combating cancer, that additionally synergistically enhances other treatment modalities such as photodynamic therapy or chemotherapy. PTT exploits nanoparticles (called nanoheaters), that upon proper biofunctionalization may target cancerous tissues, and under light stimulation may convert the energy of photons to heat, leading to local overheating and treatment of cancerous cells. Despite extensive work, there is, however, no agreement on how to accurately and quantitatively compare light-to-heat conversion efficiency (ηQ) and rank the nanoheating performances of various groups of nanomaterials. This disagreement is highly problematic because the obtained ηQ values, measured with various methods, differ significantly for similar nanomaterials. In this work, we experimentally review existing optical setups, methods, and physical models used to evaluate ηQ. In order to draw a binding conclusion, we cross-check and critically evaluate the same Au@SiO2 sample in various experimental conditions. This critical study let us additionally compare and understand the influence of the other experimental factors, such as stirring, data recording and analysis, and assumptions on the effective mass of the system, in order to determine ηQ in a most straightforward and reproducible way. Our goal is therefore to contribute to the understanding, standardization, and reliable evaluation of ηQ measurements, aiming to accurately rank various nanoheater platforms.</p>
Supporting Data for "Refractive index matched, nearly hard polymer colloids" (Proc. R. Soc. A, doi:10.1098/rspa.2018.0763)
<p>SAXS data [Q / Å^{-1}, I(Q) / Arb. unit, error I(Q) / Arb. unit] as *.dat files</p> <p>Data for Figures 1, 2, and 5 [description and units in column headers] as *.csv files</p>
Replication Data for: Achieving Liquid Processors by Colloidal Suspensions for Reservoir Computing
<p>Overview</p> <p>This README provides instructions for accessing and managing the SQLite database digits_channel_A.db, digits_channel_B.db, and digits_channel_C.db which contains the recordings for all the channels A, B, and C of the digital oscilloscope. The database includes a table named digits_data with information about each recording, including metadata and audio data.</p> <p><br>Database Schema<br>Table: digits_data</p> <p> id: INTEGER PRIMARY KEY<br> A unique identifier for each record.</p> <p> person_id: INTEGER<br> Identifier for the person associated with the recorded digit.</p> <p> digit: INTEGER<br> The digit recorded (0-9).</p> <p> repeat: INTEGER<br> The repeat count of the recording.</p> <p> audio: BLOB<br> Binary Large Object to store audio data.</p> <p>Prerequisites</p> <p> Python 3.x<br> sqlite3 library (included with Python standard library)</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.