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235 results for “silica”
Data associated to the manuscript "Structural and dynamic properties of soda-lime-silica in the liquid phase"
<p>Contains input files and data used to generate the figures of the article:</p> <p>Structural and dynamic properties of soda-lime-silica in the liquid phase</p> <p>Alessandra Serva, Allan Guerault, Yoshiki Ishii, Emmanuelle Gouillart, Ekaterina Burov, and Mathieu Salanne, <em>arXiv</em>, 2009.07198, 2020</p> <p>https://arxiv.org/abs/2009.07198</p> <p>The folder *DATA_ASCII_FIGURES* contains the processed data used to plot all the figures of the article.</p>
pH-sensitive thiamethoxam nanoparticles based on bimodal mesoporous silica for improving insecticidal efficiency
<p>In this study, we synthesized pH-sensitive thiamethoxam-3-(2-aminoethylamino) propyl-bimodal mesoporous silica (P/Thi-NN-BMMs) nanoparticles (NPs). We used this bimodal mesoporous silica (BMMs) mesoporous material as a carrier based on the principle of free radical polymerization. The size of the P/Thi-NN-BMMs NPs was about 891.7<span>±4.9</span> nm, with a zeta potential of about −25.7<span>±2.5</span> mV. X-ray powder diffraction (XRPD) analysis, N<sub>2</sub>-sorption measurements, and thermogravimetric (TG) analysis indicated that thiamethoxam (Thi) was loaded into the pores of the mesoporous structure and that the mesopore surface was coated with polyacrylic acid (PAA). The loading rate of P/Thi-NN-BMMs was about 25.2%. The controlled-release NPs had excellent anti-photolysis performance and storage stability. The NPs showed significant pH sensitivity, and the Thi release rate in pH 10.0 phosphate buffer was higher than those in pH 7.4 and pH 3.0 phosphate buffers. We described the sustained-release curves according to the Weibull model. The relative toxicity of P/Thi-NN-BMMs against <i>peach aphid</i> was 1.44 times that of commercial Thi. This provides a promising instrument for effective insect control and environment protection.</p>
Dataset for the publication: Multi-line SiO fluorescence imaging in the flame synthesis of silica nanoparticles from SiCl4
<p>Dataset for the publication: </p> <p>Multi-line SiO fluorescence imaging in the flame synthesis of silica nanoparticles from SiCl4</p> <p>Abbas El Moussawi, Torsten Endres, Sebastian Peukert, Siavash Zabeti, Thomas Dreier, <br> Mustapha Fikri, Christof Schulz </p> <p>in Combustion and Flame</p> <p>This dataset contains the raw LIF imaging data (LIF_Imaging_Rawdata.7z), an overview of the measured flame conditions and their parameters (MeasumentsOverview.xlsx), the determined temperature and SiO-concentration profiles (T&C-SiO-LIF.Exp.Profiles.xlsx), the Origin/Matlab figures from the publication (OriginData&Figures.7z) and the Chemkin project for the kinetic simulations (Chemkin.7z).Remarks.docx contains instructions for performing the Chemkin simulations and information about the software&version used.</p> <p><br> The Matlab code for analysing the raw data can be found in the separate Zenodo publication:<br> <a href="https://doi.org/10.5281/zenodo.4399312">10.5281/zenodo.4399312</a><br> However, this is embargoed for 12 months, as a better documented release of the code is planned during this period.</p>
Data from: A shift from phenol to silica-based leaf defenses during long-term soil and ecosystem development
<p>The resource availability hypothesis predicts that plants adapted to infertile soils have high levels of anti-herbivore leaf defenses. This hypothesis has been mostly explored for secondary metabolites such as phenolics, while it remains underexplored for silica-based defenses. We determined leaf concentrations of total phenols and silicon (Si) in plants growing along the 2-million-year Jurien Bay chronosequence, exhibiting an extreme gradient of soil fertility. We found that nitrogen (N) limitation on young soils led to a greater expression of phenol-based defenses, whereas old, phosphorus (P)-impoverished soils favored silica-based defenses. Both defense types were negatively correlated at the community and individual species level. Our results suggest a tradeoff among these two leaf defense strategies based on the strength and type of nutrient limitation, thereby opening up new perspectives for the resource availability hypothesis and plant defense research. This study also highlights the importance of silica-based defenses under low P supply.</p>
Predicting the failure of two-dimensional silica glasses
<p>Datasets for the paper: Font-Clos F, Zanchi M, Hiemer S, Bonfanti S, Guerra R, Zaiser M, Zapperi S. Predicting the failure of two-dimensional silica glasses. arXiv preprint arXiv:2201.09723. 2022 Jan 24. <a href="https://arxiv.org/abs/2201.09723">https://arxiv.org/abs/2201.09723</a></p> <p>The datasets can be used together with the codes available at <a href="https://github.com/ComplexityBiosystems/2D-silica-ML">https://github.com/ComplexityBiosystems/2D-silica-ML</a> to reproduce the resuts of the paper above.</p> <p>In particular, the datasets contain the the following data</p> <ul> <li>The dataset '20201222-var02-onethousand.zip' contains configurations at fixed disorder (s<sup>2</sup>= 0.2).</li> <li>The dataset '20210209-variable-disorder.zip' contains configurations at variable disorder.</li> <li>The dataset 'ml_dataset_fracture_atoms_var02.tar.gz' contains the images for the prediction of the crack path.</li> <li>The dataset 'ml_dataset_var02.tar.gz' contains images of silica at fixed disorder (s<sup>2</sup>= 0.2). for the prediction of disorder, rupture strain and location.</li> <li>The dataset 'ml_dataset_variable_var.tar.gz' contains images of silica at variable disorder for the prediction of disorder, rupture strain and location.</li> <li>The dataset 'trained_models' contains an example of a ResNet trained for predicting rupture strain at variable disorder (it can be used for testing the Grad-CAM method).</li> </ul> <p> </p> <p> </p>
Research data for "A machine-learned interatomic potential for silica and its relation to empirical models"
<p>This dataset supports the paper "A machine-learned interatomic potential for silica and its relation to empirical models". The paper is online here:</p> <p>The following files are provided:</p> <ul> <li>xyz-file containing all structures in the training database including forces and energies</li> <li>GAP file containing the corresponding parameters, which can be used for example for Lammps MD simulations</li> <li>Amorphous structure files for silica created by different interatomic potentials.</li> </ul>
Hot Dense Silica Glass with Ultrahigh Elastic Moduli
<p>Dataset for manuscript "Hot Dense Silica Glass with Ultrahigh Elastic Moduli"</p>
Data set for: Effects of microstructure evolution on compressive strength of silica sand-enhanced oil well cement at a wide temperature range
<p><span>The influence of microstructure of silica-enhanced cement on the mechanical performance of cement is difficult to be described. In this study, we used the scanning electron microscope and image processing method to investigate the relationship between the complicity of cement microstructure and compressive strength under various temperature and curing time conditions. Fractal dimension was applied to describe the complicity of cement. The relationships among compressive strength, fractal dimension, temperature, curing time and pore structure of cement were identified. The results show that curing time of cement directly control the complicity of cement microstructure and compressive strength by altering the pore orientation and macropore ratio in cement. The curing temperature affects the complicity of cement microstructure and compressive strength indirectly by changing the ratio of micropore and small pore. The fractal dimension of silica-enhanced cement shows good correlation with compressive strength. Pore size distribution is the most important factor that influence the complicity of cement matrix and compressive strength of silica-enhanced cement. When building up the macroscopic mechanical performance model of cement, we should consider the influence of pore size distribution in cement under different curing temperatures and times on the complicity of cement microstructure. </span></p>
Excess 210Pb, 137C, total organic carbon content, HBI biomarkers (IPSO25, HBI III) and biogenic silica of marine deposits from sediment core 2018_R2_2F from Sheldon Cove, Antarctic Peninsula
<p><strong>Description</strong>: Sediment core 2018_R2_2F was collected from Sheldon Cove, Antarctic Peninsula (67.55°S 68.27°W) from a water depth of 177 m, in December 2018 as part of expedition JR18003 by the British Antarctic Survey aboard RV James Clark Ross (Sands et al. 2019). Total core length was 25 cm. The dataset presented here consists of: gamma spectrometry measurements of excess 210Pb (calculated as a difference between the total 210Pb and the average of 214Pb and 214Bi) and 137Cs; total organic carbon (TOC) content; biogenic silica (BSi) content; and HBI biomarker (IPSO25, HBI III) concentrations. The excess 210Pb and 137Cs were measured at the Institute of Geology at Adam Mickiewicz University in Poznań, Poland, using a gamma detector Canberra BE3830, cooled with cryostat Cryo-Pulse®5 plus. The detector is placed in 10 cm thick lead shield walls and is equipped with a remote detector chamber option (RDC-6 inches) for low energy background reduction. The detector was commercially characterized by ISOCS (In-Situ Object Calibration Software) and LabSOCS (Laboratory Sourceless Object Calibration Software). Efficiencies for measured geometries were determined using LabSOCS code applying all corrections for sample geometry, matrix, and container type, and were verified with IAEA standards measurements. The results (spectra) were analyzed in Canberra GENIE-2000 v. 3.3 gamma spectrometry software and are presented with 2-sigma uncertainty ranges (Szczuciński, submitted). TOC concentrations (given in %) were measured at the Faculty of Earth Sciences, University of Silesia, Poland, using an Eltra CS-500 IRanalyzer with a Total Inorganic Carbon module according to the procedure described in Racka et al. (2010). TOC was calculated as the difference between TC (total carbon) and TIC (total inorganic carbon). Each TOC sample was analysed in duplicate. Analytical precision and accuracy were better than ±2% for TC and ±3% for TIC. HBI biomarker preparation and analysis followed slightly modified (Pieńkowski et al. 2021) standard protocols (Belt 2012). HBI concentrations are given per weight of sediment (ng/g sed), and organic carbon content (μg/g OC) (Belt et al. 2012). Biogenic (opaline) silica (BSi) analysis on dried, homogenised samples followed Heiri et al. (2001) and Bechtel et al. (2007). Each BSi and TOC sample was analysed in duplicate; values are given in %. BSi and TOC standard deviation calculations are based on data from the replication.</p> <p><strong>References</strong> <br><br>* Bechtel, A., Woszczyk, M., Reischenbacher, D., Sachsenhoffer, R., Gratzer, R., Püttmann, W. Spychalski, W., 2007: Biomarkers and geochemical indicators of Holocene environmental changes in Lake Sarbsko (Poland). Org. Geoch. 38, 1112–1131. <br>* Belt, S.T., Brown, T.A., Navarro Rodriguez, A., Cabedo Sanz, P., Tonkin, A., Ingle, R. 2012. A reproducible method for the extraction, identification and quantification of the Arctic sea ice proxy IP25 from marine sediments. Anal. Methods 4, 705-713. <br>* Heiri, O., Lotter, A. F., Lemcke, G., 2001. Loss on ignition as a method for estimating organic and carbonate content in sediments: reproducibility and comparability of results. J. Paleolimnol. 25, 101-110. <br>* Pieńkowski, A.J., Husum, K., Belt, S.T., Ninnemann, U., Köseoğlu, D., Divine, D.V., Smik, L., Knies, J., Hogan, K., Noormets, R. 2021. Seasonal sea ice persisted through the Holocene Thermal Maximum at 80°N. Commun. Earth Environ. 2, 124. <br>* Racka, M., Marynowski, L., Filipiak, P., Sobstel, M., Pisarzowska, A., Bond, D.P.G., 2010: Anoxic Annulata events in the Late Famennian of the Holy Cross Mountains (Southern Poland): geochemical and palaeontological record. Palaeogeography, Palaeoclimatology, Palaeoecology 297(3-4), 549-575. <br>* Sands, C.J., Annett, A., Apeland, B., Barnes, D.K.A, Bascur, M., Bruning, P., Costa, M., Dadd, G., De Lecea, A., Ensor, N., Featherstone, A., Flint, G., Goodger, D., Guzzi, A., Howard, F., Hunter, D., Jenkins, S., Kender, S., Lincoln, B., Munoz-Ramirez C., Pienkowski, A., Retallick, K., Roman-Gonzalez, A., Scourse, J., Sheen, K., Whitaker, T., Williams, J., Zhao, L., Zwerschke, N., 2019: JR18003 Cruise Report. British Antarctic Survey, 132 pp. <br>* Szczuciński, W. (submitted): Applications of gamma-emitting isotopes (210Pb and 137Cs) for assessment of sedimentary processes – insights from studies of lake, deltaic and continental shelf deposits. <br><br><strong>Projects</strong> <br><br>* CHARME: CHanging AntaRctic Marine Environments, <strong>Web</strong>: <a title="Follow link" href="https://charme.amu.edu.pl/" target="_blank" rel="nofollow noopener">https://charme.amu.edu.pl/</a>, <strong>Award</strong>: Norwegian Financial Mechanism 2014-2021, UMO-2020/37/K/ST10/04127 <br><br><strong>File descriptions</strong>: Excel file with all data, as well as core details (coordinates and water depth).</p> <p><strong>Comment</strong>: This dataset is related to the following article which has been accepted for publication:</p> <p>Pieńkowski, Anna J.; Szczuciński, Witold; Breszka, Agnieszka; Chyleński, Maciej; Juras, Anna; Romel, Paulina; Rozwalak, Piotr; Trzebny, Artur; Dabert, Mirosława; Belt, Simon; Jagodziński, Robert; Smik, Lukas; Włodarski, Wojciech. Sedimentary ancient DNA and HBI biomarkers as sea-ice indicators: a complementary approach in Antarctic fjord environments. Limnology Oceanography Letters. doi: 10.1002/lol2.10395</p>
Dataset for publication "Thermal cycling damage of silica refractories for high-temperature thermal energy storage (HT-TES) – can it be healed?"
Open the record for dataset details and reuse information.
The Performance Growth and Yield of Genotypes Sweet Corn (Zea Mays Saccharata Sturt) by Silica Fertilizer Application
<p>This material has presented on 2nd International Conference on Advance Research in Agriculture and Food 2023 in October 25, 2023.</p>
Creation of Surface Mesopores in Macroporous Silica via Partial Pseudomorphic Transformation
<p>Raw data to the manuscript </p> <p>Creation of Surface Mesopores in Macroporous Silica via Partial Pseudomorphic Transformation</p>
Electrodeposition of calcareous cement from seawater in marine silica sands – Data
<p>Quantitative data in support of the publication titled "Electrodeposition of calcareous cement from seawater in marine silica sands" by Andony Landivar Macias, Steven D. Jacobsen, and Alessandro F. Rotta Loria.</p>
Co-condensation of silica and lignin: STEM tomography and EDS analysis
<p>Data files associated with publication: "Silica Biomineralization with Lignin Involves Si−O−C Bonds That<br>Stabilize Radicals", https://doi.org/10.1021/acs.biomac.4c00061 </p> <p>A) Tomographic reconstruction of the silica-lignin particles by HAADF-STEM, a single .mrc volume file.</p> <p>B) Energy Dispersive X-ray Spectroscopy analysis of in vitro condensation of silica and lignin. Bruker format .emd files with screen previews included. </p>
Silica solubility and molecular speciation in water vapor at 400-800°C
<p>This dataset is accompanying with the manuscript "Silica solubility and molecular speciation in water vapor at 400-800°C". It contains analytical data on quartz solubility experiments and the data were used in the study tthemodynamics of silica in hydrothermal water vapor.</p>
The influence of Cu/Na concentration ratio, pH and ionic strength on the spectral induced polarization signature of saturated silica sand
<p>The file contains the complete spectra of real conductivity, quadrature conductivity and phase for each of the 25 samples. The data are first divided by set and then combined.</p>
LAMMPS output from creep simulation of silica sphere caps with water
<p>Results from creep simulation of silica sphere caps, passivated with hydroxy groups and with water filling the void.</p> <p>38 nanoseconds of data.</p> <p>This description will be updated with a github repo and more information when possible.</p>
LAMMPS output from creep simulation of silica sphere caps, asymmetric system with tdamp=1
<p>Results from creep simulation of silica sphere caps.</p> <p>200 nanoseconds of data.</p> <p>This description will be updated with a github repo and more information when possible.</p>
LAMMPS output from creep simulation of silica sphere caps, symmetric system with tdamp=5
<p>Results from creep simulation of silica sphere caps.</p> <p>200 nanoseconds of data.</p> <p>This description will be updated with a github repo and more information when possible.</p>
LAMMPS output from creep simulation of silica sphere caps
<p>Results from creep simulation of silica sphere caps.</p> <p>1 microsecond of data.</p> <p>This description will be updated with a github repo and more information when possible.</p>
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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)
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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.