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78 results for “quartz”
Data From: Exploring Gelatin-A and Mouse Proline-Rich Protein 5 as Probes for Wine Polyphenols analysis by Quartz Crystal Microbalance with Dissipation Monitoring
<p>Polyphenols are essential in winemaking, affecting the wine's quality, color, astringency, bitterness, and chemical stability. Conventional methods for assessing polyphenolic content are both expensive and time-intensive, underscoring the need for new, efficient techniques.</p> <p>The Quartz Crystal Microbalance with Dissipation Monitoring (QCM-D) sensor is recognized for its speed and reliability as a label-free detection tool. This study applies QCM-D to evaluate Gelatin Type A (Gel-A) from porcine skin and Mouse Proline-Rich Protein 5 (MP5) for polyphenol analysis in red wines without pre-treatment. MP5 notably exhibited a linear dissipation signal response with both total polyphenol and hydroxybenzoic acid concentrations. These findings highlight the potential for creating a stand-alone sensor platform for real-time polyphenol monitoring in winemaking.</p>
Progressive Weakening of Granite via Piezoelectric Excitation of Quartz with Alternating Current: Experimental Dataset
<p><strong>Summary:</strong></p> <p>This article shares experimental data evidencing alternating-current (AC) induced weakening of Kuru granite specimens. This work reports the mechanical data of dynamic and quasi-static Brazilian Disc (BD) tensile tests. The dynamic BD tensile tests were performed in Split Hopkinson Pressure Bars (SHPB). Additionally, X-Ray Phase Contrast Imaging (XPCI) was used to evidence the fragmentation of BD samples loaded dynamically, and the resulting images are presented in this work in the form of videos. The original data used to attain the fragmentation videos of the BD specimens is available at https://doi.esrf.fr/10.15151/ESRF-ES-962080191. The dataset reported in this Zenodo publication corresponds to the study conducted by Rubio Ruiz et al. (2024). </p> <p><strong>Specimen Segmentation:</strong></p> <p>The granite specimens in this dataset are categorised into three distinct groups:</p> <p>1. Treated-Wet: Specimens subjected to high-voltage alternating current (HV-AC) treatment with direct exposure to dielectric fluid.</p> <p>2. Treated-Dry: Specimens subjected to HV-AC treatment without direct exposure to dielectric fluid.</p> <p>3. Non-Treated-Dry: Specimens that have not undergone any treatment and have not been exposed to dielectric fluid.</p> <p><strong>Included data:</strong></p> <p><strong>Quasi-static and Dynamic Brazilian Disc Test Results:</strong> The dataset consists of mechanical data obtained from dynamic and quasi-static Brazilian disc tests of each specimen type mentioned above. The data of the dynamic tests includes MATLAB figures (in .fig format), which display stress plotted against time. In addition, this dataset includes figures (in .fig format) depicting stress plotted against the dimensionless displacement parameter for both dynamic and quasi-static tests. This parameter is the ratio between the relative displacements of the loading bars and the specimen diameter.</p> <p><strong>Fragmentation Videos:</strong> This data set includes the XPCI-obtained videos capturing the fragmentation process of BD specimens in each specimen category.</p> <p><strong>References:</strong></p> <p>Rubio Ruiz RA, et al. (2024). Progressive weakening of granite by piezoelectric excitation of Quartz with alternating current. Rock Mechanics and Rock Engineering. https://doi.org/10.1007/s00603-024-03948-w</p> <p><strong>Funding: </strong></p> <p>This research was funded by the Research Council of Finland (grant number 340192) </p> <p><strong>Acknowledgements:</strong></p> <p>The authors acknowledge the European Synchrotron Radiation Facility (ESRF) for providing beamtime access at ID 19 beamline (Proposal MI-1397, within the Shock BAG project supported by the European Union’s Horizon 2020 research and innovation program under Grant Agreement No. 870313, Streamline). </p>
Data from: The effect of probe density coverage on the detection of oenological tannins in quartz crystal microbalance with dissipation monitoring (QCM-D) experiments
<p>Polyphenols, crucial compounds in grapes, musts, and wines, influence grape ripening, must fermentation, and final wine quality. Current detection methods for polyphenols are expensive, time-consuming, and reliant on specialized laboratories and personnel. This study proposes the use of a functionalized acoustic sensor to address these limitations and efficiently detect oenological polyphenols.</p> <p>The method employs a quartz crystal microbalance with dissipation monitoring (QCM-D) combined with a gelatin-based probe layer to detect the target analyte. The sensor is functionalized by optimizing probe coverage density, accomplished through the use of 12-mercaptododecanoic acid (12-MCA) for probe immobilization onto the gold sensor surface, along with dithiothreitol (DTT) as a reducing and competitive binding agent. Varying concentrations of 12-MCA and DTT allow for control over probe density, with QCM-D measurements demonstrating effective adjustment, ranging from 0.2 × 10^13 to 2 × 10^13 molecules cm^−2. The study also explores the interaction between the probe and tannins, confirming the ability of the sensor to detect them. Notably, lower probe coverage yields higher detection signals when normalized to probe immobilization signals. Additionally, significant alterations in the mechanical properties of the functionalization layer occur after interaction with samples.</p> <p>Combining QCM-D with gelatin functionalization presents promising applications in the wine industry. This approach enables real-time monitoring, requires minimal sample preparation, and offers high sensitivity for quality control purposes.</p>
Dataset for manuscript Tracing Quartz Provenance: A Multi-Disciplinary Investigation of Luminescence Sensitisation Mechanisms of Quartz from Granite Source Rocks and Derived Sediments
<p><span>Quartz optically stimulated luminescence (OSL) sensitivity as well as some electron spin resonance (ESR) and cathodoluminescence (CL) signals have been empirically proposed as provenance indicators. Sensitivity is defined as luminescence emitted in response to a given dose per unit mass. While it is largely believed to be acquired by earth surface processes, recent studies bring evidence that sensitisation processes depend on source geology.</span></p> <p><span>Here we combine OSL and thermoluminescence (TL), ESR and CL analyses to understand the mechanisms of quartz OSL sensitisation. We investigate granites and their derived sediments from catchments draining simple lithologies of known age that display contrasting OSL sensitisation behaviour both in nature and during irradiation and light exposure laboratory experiments. The sample displaying increased OSL sensitisation is characterised by TL emission at intermediate temperatures (150-250 °C), Ti-related signals in CL, and Ti and Ge lithium compensated signals in ESR. <span>The insensitive samples either lack or exhibit very weak such characteristics and contain several times less amount of trace titanium measured by </span></span><span>laser ablation inductively coupled plasma mass spectrometry (</span><span>LA-ICP-MS).</span></p> <p><span>We demonstrate that the OSL sensitisation results as an effect of the existence of certain defects and impurities in the quartz crystal in the parent rock, such as titanium and germanium. However, the degree of sensitisation reached in nature is significantly higher than in the laboratory. <span> </span>As such, the existence of this precursor represents the potential for sensitisation, which can later be amplified by environmental factors during sedimentary history.</span></p>
Dataset: A systematic multi-technique comparison of luminescence characteristics of two reference quartz samples
<p>Original dataset corresponding to the manuscript Schmidt et al. submitted to the Journal of Luminescence. The dataset is structured as follows: </p> <ul> <li>01_original_data <ul> <li>This folder contains the original measurement data for each experiment (e.g., LM-OSL, TL), organised following the manuscript figures, e.g., Fig_4. These subfolders contain the original measurement data and the measurement sequence. For Risø readers, the output format is *.binx and *.xsyg for results from the Freiberg Instruments lexsyg readers (e.g., TR-OSL).</li> </ul> </li> <li>02_processed_data <ul> <li>Comma-separated value (*.csv) to reproduce each figure in the manuscript. </li> </ul> </li> </ul> <p> </p>
Stressful crystal histories recorded around melt inclusions in volcanic quartz
<p>Magma ascent and eruption are driven by a set of internally and externally generated stresses that act upon the magma. We present microstructural maps around melt inclusions in quartz crystals from six large rhyolitic eruptions using synchrotron Laue X-ray microdiffraction to quantify elastic residual strain and stress. We measure plastic strain using average diffraction peak width and lattice misorientation, highlighting dislocations and subgrain boundaries. Quartz crystals preserve similar and relatively small magnitudes of elastic residual stress (mean 53-135 MPa, median 46-116 MPa) in comparison to the strength of quartz (~10 GPa). However, the distribution of strain in the lattice around inclusions varies between samples. We hypothesize that dislocation and twin systems may be established during compaction of crystal-rich magma, which affects the magnitude and distribution of preserved elastic strains. Given the lack of stress-free haloes around faceted inclusions, we conclude that most residual strain and stress was imparted after inclusion faceting. Fragmentation may be one of the final strain events that superimposes stresses of ~100 MPa across all studied crystals. Overall, volcanic quartz crystals preserve complex, overprinted deformation textures indicating that quartz crystals have prolonged deformation histories throughout storage, fragmentation, and eruption. The data collected using Laue microdiffraction at Lawrence Berkeley National Laboratory Advanced Light Source beamline 12.3.2 are included below as .xlsx files. Data was processed and analyzed using XMAS (Tamura, 2014) and XtalCAMP (Li et al., 2020).</p>
3-D model data used to investigate the role of K-feldspar and quartz in global ice nucleation by mineral dust in mixed-phase clouds
<p>These simulations were run by Chemical Transport Model TM4-ECPL covering the years 2009-01 to 2016-12 and are used for the bellow publication:</p> <p>Chatziparaschos, M., Daskalakis, N., Myriokefalitakis, S., Kalivitis, N., Nenes, A.,<br> Gonçalves Ageitos, M., Costa-Surós, M., Pérez García-Pando, C., Zanoli, M., Vrekoussis,<br> M., and Kanakidou, M.: Role of K-feldspar and quartz in global ice nucleation by mineral dust in mixed-phase clouds,<br> Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2022-551, in press 2023.</p> <p>Laboratory: Environmental Chemical Processes Laboratory (EPCL), Department of Chemistry, University of Crete, Heraklion.<br> contact: Kanakidou Maria <mariak@uoc.gr></p> <p>Model resolution: 2x3<br> Model Levels: 25</p> <p>Data info:</p> <p>DU_m2m(time, lev, lat, lon)<br> short_name :DU_m2m<br> long_name : Dust mode 2 mass accumulation</p> <p>DU_m3m(time, lev, lat, lon)<br> short_name : DU_m3m<br> long_name : Dust mode 3 mass coarse</p> <p>qua2_acc(time, lev, lat, lon)<br> short_name :qua2_acc<br> long_name :Quartz – accumulation mode</p> <p>qua2_coa(time, lev, lat, lon)<br> short_name :qua2_coa<br> long_name :Quartz – coarse mode</p> <p>FEL_acc(time, lev, lat, lon)<br> short_name :FEL_acc<br> long_name : K-Feldspar – accumulation mode</p> <p>FEL_coa(time, lev, lat, lon)<br> short_name :FEL_coa<br> long_name : K-Feldspar – coarse mode</p> <p>INP_QUA(time, lev, lat, lon)<br> short_name :INP_QUA<br> long_name :Ice Nucleating Particles derived form Quartz</p> <p>INP_FELD(time, lev, lat, lon)<br> short_name :INP_FELD<br> long_name :Ice Nucleating Particles derived form K-Feldpsar</p> <p> </p>
Reconstructing dust provenance from quartz optically stimulated luminescence (OSL) and electron spin resonance (ESR) signals: Preliminary results on loess from around the world
<p>Dataset for publication</p> <p><strong>Reconstructing dust provenance from quartz optically stimulated luminescence (OSL) and electron spin resonance (ESR) signals: </strong></p> <p><strong>Preliminary results on loess from around the world</strong></p> <p> </p> <p>Quantitative provenance analysis studies are instrumental in understanding the tectonic and climatic processes that shape the earth’s landscape. Although the most abundant mineral in the sedimentary system is quartz, almost all studies in provenance analysis investigate accessory minerals. Quartz crystals contain a vast number of point defects, intrinsic or due to impurities. For a signal to be an accurate indicator of provenance one needs to show that it is either dose independent or reaches a quantifiable steady state characteristic of the source rock. For signals used by trapped charge dating methods (optically stimulated luminescence (OSL) and electron spin resonance (ESR)), the latter option is the feasible one. By using quartz samples collected from the Chinese Loess Plateau (Luochuan loess-paleosol section), we show that the laboratory and natural dose response curves of E`<sub>1</sub> and and peroxy electron spin resonance signals of quartz (as defined later) overlap and reach a steady state for doses over about 1000 Gy. For E’<sub>1</sub> signals we attribute this steady state to reaching an equilibrium state between diamagnetic oxygen vacancies (the oxygen deficiency centre (ODC), Si=Si<em>)</em> and paramagnetic oxygen vacancies (E’<sub>1</sub>). For sedimentary quartz irradiated naturally or artificially in this dose range we show a strong linear relationship with zero intercept between E’<sub>1</sub> and peroxy signals for samples worldwide, supporting the hypothesis that these defects are Frenkel pairs. Further, we show significant correlations between the optically stimulated (OSL) sensitivity and the above two mentioned ESR signals. The very strong correlations (Pearson`s r ˃0.9) between E’<sub>1</sub>, peroxy and OSL sensitivity remain valid after the samples have been heated for 15 min to 350 ˚C for E’<sub>1</sub> to reach its maximum value, believed to be a result of the conversion of diamagnetic oxygen vacancies to E’<sub>1</sub>, clearly suggesting a relationship between OSL sensitivity and oxygen vacancies in general. Samples collected from different loess sites around the world can be distinguished based on both these OSL and ESR properties. An empirical increase in OSL sensitivity as well as oxygen related defect concentrations is observed in areas where the source material has components with older detrital zircon U-Pb ages, inferring a positive correlation between OSL sensitivity, as well as the signal intensity for E<sub>1</sub>` and peroxy defects and the age of the source rocks.</p>
Datasets supporting the publication "Technical Note: in-situ measurements and modelling of the oxidation kinetics in films of a cooking aerosol proxy using a Quartz Crystal Microbalance with Dissipation monitoring (QCM-D)" by Milsom et al.
<p>Supporting experimental and modelling data for the manuscript entitled "Technical Note: Modelling and in-situ measurements of the oxidation kinetics in films of a cooking aerosol proxy using a Quartz Crystal Microbalance with Dissipation monitoring (QCM-D)" by Adam Milsom et al. 2023. </p> <p>Includes raw QCM-D data with the numbers at the beginning of the files corresponding to the experiment numbers in the manuscript. </p> <p>Normalised Raman peak area data for modelling and model ensemble outputs, including uptake coefficients. </p>
Research data supporting for Application of electron tomography of dislocations in beam-sensitive quartz to the determination of strain components
<p>This archives contains all the raw data (micrographs) supporting the publication</p>
Investigations on single and multi-grain optically stimulated luminescence (OSL) sensitivity and electron spin resonance (ESR) signals in quartz derived from sandstones: Insights on provenance of quartz in ancient depositional systems
<p><span>Trapped charge techniques of luminescence and electron spin resonance (ESR) are classic tools for dating Quaternary deposits. Over the past decade, these techniques have been routinely applied to investigate provenance and /or the sedimentary history of grains based on the different luminescence and ESR characteristics of quartz. Of these, optically stimulated luminescence (OSL) sensitivity is one of the most widely investigated parameter for luminescence-based provenance approach. A majority of studies on this parameter are based on evaluation of multi-grain OSL sensitivity of the samples. This is particularly concerning because single-grain quartz luminescence studies have shown that the luminescence signal of a multi-grain aliquot is contributed by less than ~1-10% of the total grains. Since the sole criteria for discrimination of sources based on luminescence sensitivity relies on its intensity, therefore the results based on multi-grain analysis will most likely be skewed depending on the proportion and ‘brightness’ of a few grains. This demands a need to evaluate the potential of single-grain quartz OSL sensitivity in provenance studies. In this study, we investigate single and multi-grain quartz OSL sensitivities from compositionally different sandstones with well-characterised sources based on U-Pb zircon ages. We further complement this analysis with characterisation of ESR centres commonly used in quartz provenance, namely E’<sub>1</sub> and [AlO<sub>4</sub>]<sup>0</sup> centres. Our study shows that single-grain quartz OSL sensitivity can help distinguish between sediments that have a predominant input from a single source as compared to those with contribution from multiple sources, which otherwise cannot be inferred from multi-grain studies. Moreover, our results on characterisation of quartz-based ESR intensity of E’<sub>1</sub> and saturated [AlO<sub>4</sub>]<sup>0</sup> centres successfully differentiates between sandstones and further complements the luminescence-based characterisation. </span></p>
Dataset for Diamond-coated quartz crystal microbalance sensors: Challenges in high yield production and enhanced detection of ethanol and sars-cov-2 proteins
<p>The data set to paper: </p> <p>Name: Diamond-coated quartz crystal microbalance challenges in mass production and enhanced detection of ethanol and sars-cov-2 proteins</p> <p>Authors: Tibor Izsák1*, Marian Varga1, Michal Kočí2,3, Ondrej Szabó2, Katarína Aubrechtová Dragounová2, Gabriel Vanko2, Miroslav Gál4, Jana Korčeková5, Michaela Hornychová 4, Alexandra Poturnayová5, Alexander Kromka2*</p> <p>Affiliations: 1 Department of Microelectronics and Sensors, Institute of Electrical Engineering, Slovak Academy of Sciences, Dúbravská Cesta 9, Bratislava, 841 04, Slovak Republic<br> 2 Department of Semiconductors, Institute of Physics of the Czech Academy of Sciences, Cukrovarnicka 10/112, Prague 6 162 00, Czech Republic<br> 3 Department of Microelectronics, Faculty of Electrical Engineering, Czech Technical University in Prague, Technická 2, Prague 6, 166 27, Czech Republic<br> 4 Faculty of Chemical and Food Technology, Slovak University of Technology, Bratislava, Slovak Republic<br> 5 Center of Biosciences, Institute of Molecular Physiology and Genetics, Slovak Academy of Sciences, Bratislava, Slovak Republic<br> *corresponding author: tibor.izsak@savba.sk</p> <p>Data manager: Kristýna Dostálová: dostalovak@fzu.cz</p> <p>Date of collection: 1. 5. 2023 - 31. 7. 2024</p> <p>Description: Figure 1: Photos of QCM substrates oriented horizontally or vertically on the substrate holder in the deposition chamber (left) and during the diamond CVD process with ignited plasma (right).<br> Figure 2: a) 3D model of the measurement setup and b) photograph of the open gas chamber with embedded QCM sample.<br> Figure 3: Photo of the a) measurement setup and b) disassembled flow cell with V-Dia-QCM. c) Side view photo of the assembled flow cell in the measurement setup.<br> Figure 4: a) SEM images revealing surface morphology and b) corresponding Raman spectra of Dia-QCM and Dia-Si substrates horizontally or vertically oriented on the substrate holder and corresponding optical photos. There is also the Raman spectrum of the bare QCM (Au-QCM) sample before the diamond deposition.<br> Figure 5: a) Raman spectra and b) SEM images depicting surface morphology of porous diamond film grown on Si (H-PorDia-Si) and QCM (H-PorDia-QCM) substrate. The inset in Fig. 5a represents the optical photo of diamond-coated QCM. Note: ‘H-’ in sample names means horizontally loaded samples.<br> Figure 6: The response delta fR of diamond-coated QCM sensors horizontally and vertically oriented, i.e., single-sided and double-sided diamond-coated QCMs, when applying periodic switching (at 3-minute intervals) of ethanol vapour (E) with various concentrations (from 10 ppm to 100 ppm) and synthetic air (Air).<br> Figure 7: a) First resonant frequency shift (delta fR) of individual QCM sensors and b) mean values of delta fR with corresponding error bars for each QCM sensor group dependent on ethanol concentration.<br> Figure 8: a) The changes of the resonant frequency, delta fR, after the addition of neutravidin (NA) dissolved in water, biotinylated 1C aptamers (1C APT) dissolved in PBS with MgCl2, and 50 pg/mL S-RBD protein in PBS. The addition of neutravidin, aptamers, proteins, and surface washings by water (H2O) or buffer (PBS) are highlighted by arrows. b) Zoom in on the highlighted area in Fig. 8a.<br> Figure 9: Decrease of the resonant frequency, fR, at various S-RBD protein concentrations. The comparison of the sensitivity of diamond and gold QCM surfaces on which S-RBD was determined is indicated in the graph legend.</p>
Giant Quartz Veins of the Pyrenees Database - Full Dataset (ESRI Shapefile)
<p>The <strong>GIVEPY Database</strong> (GIant quartz VEins of the PYrenees) is an interactive tool that incorporates information of the geometry, distribution, statistics, and host rock types of 741 giant quartz veins that crop out in the fold and thrust belt of the Pyrenees. The GIVEPY Database follows the <strong>FAIR </strong>principles of data management (Findable, Accessible, Interoperable and Reusable) and is available at: <a href="https://givepy.info/">https://givepy.info/</a>.</p> <p>The Full Dataset consists of a ESRI Shapefile where the giant quartz veins of the Pyrenees are mapped following polygon superposition rules. The <em>.shp</em> file can be opened in any Geographic Information System (GIS) environment. We recommend the use of the <strong>QGIS</strong> software since it is open access and continuously updated.</p> <p>The original CRS is:</p> <p>EPSG: 32631 / WGS1984 - UTM Z31N</p> <p>Do not hesitate to contact Eloi González-Esvertit if you have any questions: e.gonzalez-esvertit@ub.edu</p>
Giant Quartz Veins of the Pyrenees Database - Full Dataset (MSExcel Spreadsheet)
<p>The <strong>GIVEPY Database</strong> (GIant quartz VEins of the PYrenees) is an interactive tool that incorporates information of the geometry, distribution, statistics, and host rock types of 741 giant quartz veins that crop out in the fold and thrust belt of the Pyrenees. The GIVEPY Database follows the <strong>FAIR </strong>principles of data management (Findable, Accessible, Interoperable and Reusable) and is available at: <a href="https://givepy.info/">https://givepy.info/</a>.</p> <p>The Full Dataset consists of a ESRI Shapefile where the giant quartz veins of the Pyrenees are mapped following polygon superposition rules. The <em>.shp</em> file can be opened in any Geographic Information System (GIS) environment. We recommend the use of the <strong>QGIS</strong> software since it is open access and continuously updated.</p> <p>The original CRS is:</p> <p>EPSG: 32631 / WGS1984 - UTM Z31N</p> <p>Do not hesitate to contact Eloi González-Esvertit if you have any questions: e.gonzalez-esvertit@ub.edu</p>
Molecular Models of hematite, goethite, kaolinite, and quartz surfaces
<p>Molecular models for hematite, quartz, goethite and kaolinite surfaces according to different terminations.</p>
Optical Raman spectra of water in quartz cuvette, and empty quartz cuvette, measured with Thorlabs Raman Kit at 785nm laser diode wavelength
<p>The Thorlabs Raman spectroscopy kit was tested with water. The excitation light was 785nm laser diode. The laser wavelength was calibrated with a NIST polystyrene sample in the shape of a prisma with size of a cuvette. The sample was the empty quartz cuvette, and the cuvette filled with water. Simple subtraction of both spectry yields a watzer spectrum, with a broad H-O-H vibration peak at 900 nm.</p> <p> </p> <p><a href="https://www.thorlabs.de/newgrouppage9.cfm?objectgroup_id=14241">Modular Raman Spectroscopy Kit (thorlabs.de)</a></p>
Рис. 3. А — гастроΛиты гуся беΛоΛобого (кварц и отΑеΛьные кристаΛΛы амфибоΛов), ХороΛьский район, сеΛо Сиваковка; Б — гастроΛиты из жеΛуΑка гуся беΛоΛобого (размерность кварцевых зерен), южный берег оз. Ханка Fig. 3. A — gastroliths of a white-fronted goose (quartz and individual crystals of amphiboles), Khorolsky District, Sivakovka village; Б — gastroliths from the stomach of a white-fronted goose (dimension of quartz grains), the southern shore of Lake Khanka in The mineral composition of gastroliths in the stomachs of Anatidae in Primorsky Region and the importance of silicon minerals in the physiology of birds
Рис. 3. А — гастроΛиты гуся беΛоΛобого (кварц и отΑеΛьные кристаΛΛы амфибоΛов), ХороΛьский район, сеΛо Сиваковка; Б — гастроΛиты из жеΛуΑка гуся беΛоΛобого (размерность кварцевых зерен), южный берег оз. Ханка Fig. 3. A — gastroliths of a white-fronted goose (quartz and individual crystals of amphiboles), Khorolsky District, Sivakovka village; Б — gastroliths from the stomach of a white-fronted goose (dimension of quartz grains), the southern shore of Lake Khanka
Bodhgayā, Bihār. Quartz, variety rock crystal, small fragments.
<p>Bodhgayā, Bihār. Quartz, variety rock crystal, small fragments. British Museum 1892,1103.54 presented by Alexander Cunningham.</p>
Trap parameters for the fast OSL signal component obtained through analytical separation for various quartz samples
<p>Dataset for article</p> <p>Trap parameters for the fast OSL signal component obtained through analytical separation for various quartz samples</p>
FDTD simulation of various thickness DLC:Ag mixture on quartz substrate in different mediums (AoI 45 deg., s-polarization)
<p>FDTD software: Lumerical (Ansys, version 2021 R2.3).</p> <p>Structure: SiO<sub>2</sub> (Palik) substrate; 35/50/65 nm thickness (<em>DLC</em>) layer with experimentally obtained optical properties of diamond-like carbon and silver nanocomposite (DLC:Ag). DLC:Ag optical properties are averaged result of the layer properties in DLC:Ag nanocomposite obtained by fitting spectroscopic ellipsometry data, which is available here: <a href="https://doi.org/10.5281/zenodo.7341684">https://doi.org/10.5281/zenodo.7341684</a> The file used in the simulations is provided in this data set. Here DLC:Ag is considered as homogeneous materials without separating DLC and Ag phases.</p> <p>Refractive index of the surrounding medium (<em>n</em>): 1.0; 1.1; 1.2; 1.3.</p> <p>Simulation region: from 300 nm below the substrate/DLC:Ag interface to 1.3 µm above it.</p> <p>Mesh override region: from 50 nm below the substrate/DLC:Ag interface to 50 nm above DLC:Ag; 2 nm step size in each direction.</p> <p>Light source: BFAST plane wave light source; 500 nm above the substrate/DLC:Ag interface; 45° angle of incidence (<em>ang</em>); 300 nm – 1000 nm wavelength range; s-polarization (<em>pol</em>). The model structure is not periodic, however, BFAST light source was used for easier comparison with other structures with the same material, which are periodic.</p> <p>Monitor (frequency domain field and power): 2D Z-normal; 1 µm above the substrate/DLC:Ag interface; results are in "<em>_reflection.txt</em>" files.</p> <p>Information in the file name: <em>DLC</em> - thickness of DLC:Ag; <em>pol</em> - polarization; <em>onQ</em> - indicates quartz substrate; <em>ang</em> - angle of incidence; <em>n</em> - refractive index of surrounding medium.</p> <p>Files: (1) "<em>_reflection.txt</em>" - lambda(nm) (first column) - wavelength in nanometers; Y (second column) - T data from the monitor above the structure. (2) "<em>_p0.log</em>" - log file produced by the software while running the simulation. (3) "<em>.fsp</em>" - Lumerical software file containing the simulation project (license required to open these files). (4) "<em>Lumerical_Screenshots.pdf</em>" - shows software screenshots for every object and its every property; red text is added to show which values are different for different simulations. (5) "<em>.jpg</em>" - a preview of data from "<em>_reflection.txt</em>" files. (7) "<em>DLC_Ag_SE_nk_average.txt</em>" - contains DLC:Ag optical properties (first column - wavelength in nanometers; second column - refractive index; third column - extinction coefficient).</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)
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.