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1,013 results for “Glass”
Fig. 2. Phenacogaster julliae, MZUSP 51375 in A new glass tetra species of Phenacogaster from the rio Salitre, rio São Francisco drainage, Brazil (Characiformes: Characidae)
Fig. 2. Phenacogaster julliae, MZUSP 51375, paratype, male, 26.3 mm SL, rio Salitre, Bahia state, Brazil.
Fig. 1. Phenacogaster julliae, MZUSP 123642 in A new glass tetra species of Phenacogaster from the rio Salitre, rio São Francisco drainage, Brazil (Characiformes: Characidae)
Fig. 1. Phenacogaster julliae, MZUSP 123642, holotype, unsexed, 27.4 mm SL, rio Salitre, Bahia state, Brazil.
SI data: A high-throughput structural and electrochemical study of metallic glass formation in Ni-Ti-Al
<p>Journal: ACS Combinatorial Science<br> Title: A high-throughput structural and electrochemical study of metallic glass formation in Ni-Ti-Al<br> Author(s): Joress, Howie; DeCost, Brian; sarker, suchismita; Braun, Trevor; Jilani, Sidra; Smith, Ryan; Ward, Logan; Laws, Kevin; Mehta, Apurva; Hattrick-Simpers, Jason</p>
Major element and volatile compositons of volcanic glasses and related datasets for paleobathymetry of the Samail & Troodos ophiolites
<p>This archived dataset accompanies the article "<em>Paleobathymetry of submarine lavas in the Samail and Troodos ophiolites: insights from volatiles in glasses and implications for hydrothermal systems</em>" in the Journal of Geophysical Research: Solid Earth (Belgrano et al. 2021). Comprehensive details on the aquisition and selection of this data are given in the accompanying article.</p> <p>This dataset archive consists of a multi-sheet Excel file containing: (1) Newly measured major element and H<sub>2</sub>O (± CO<sub>2</sub>) compositions for volcanic glasses recovered from the Samail ophiolite, respectively determined by electron microprobe analysis (EMPA) and Fourier Transform infrared spectroscopy (FTIR). (2) The raw Beer-Lambert equation parameters as used to determine these H<sub>2</sub>O (± CO<sub>2</sub>) compositions. (3) The H<sub>2</sub>O (± CO<sub>2</sub>) compositions of volcanic glasses from the Troodos ophiolite reproduced from Woelki et al. (2020) together with newly calculated volatile saturation pressures and their depth equivalents. (4) A compilation of previously published volcanic glass data used to calibrate and test the paleobathymetric approach at the centre of the related publication. (5) A reference list for previously published data.</p>
Dataset for publication Cuevas K., Chougan M., Martin F., Ghaffar SH, Stephan D., Sikora P. 3D printable lightweight cementitious composites with incorporated waste glass aggregates and expanded microspheres – Rheological, thermal and mechanical properties. Journal of Building Engineering (2021) 44, 102718
<p>Dataset consisting of G-code for 3D mortar specimen's printing path and particle size distribution (Origin file) of materials used in the study Cuevas K., Chougan M., Martin F., Ghaffar SH, Stephan D., Sikora P. 3D printable lightweight cementitious composites with incorporated waste glass aggregates and expanded microspheres – Rheological, thermal and mechanical properties. Journal of Building Engineering (2021) 44, 102718. <a href="https://doi.org/10.1016/j.jobe.2021.102718">https://doi.org/10.1016/j.jobe.2021.102718</a></p>
MicroRNA Panel Predicts Lung Adenocarcinoma in Patients Presenting with Ground-Glass Nodules
<p>MicroRNA (miRNA) expression is correlated with tumor histology, differentiation, invasiveness and treatment outcome. We aimed to identify miRNAs whose differential expression might enable early diagnosis of lung adenocarcinoma in patients presenting with ground-glass nodules (GGNs). To identify potential miRNAs of interest, we analyzed the miRNA expression profile of tumor and adjacent non para-tumor tissue in 3 participants by next-generation sequencing (NGS). We then assessed the expression levels of the miRNAs of interest in 73 lung adenocarcinoma presenting with GGNs with matched adjacent non-tumor tissue by quantitative real-time polymerase chain reaction (qRT-PCR). Target genes of our selected miRNA panel were predicted using Miranda with default parameters. Twenty-three miRNAs showed differential expression between tumor and adjacent non-tumor tissue by NGS. Five miRNAs exhibited higher expression in tumor tissue compared to adjacent non-tumor tissue (P＜0.05), eighteen miRNAs demonstrated lower expression in tumor tissue versus adjacent non-tumor tissue (P＜0.05). When qRT-PCR was performed for the 23 miRNAs identified by NGS in the pilot stage, seven were found to have statistically significant expression in tumor versus adjacent non-tumor tissue (P＜0.05). The predicted targets of our miRNAs of interest are frequently associated with cancer signaling pathways. We developed a miRNA panel that could potential predict the presence of lung adenocarcinoma in patients presenting with GGNs. </p>
X-ray CT data: fatigue damage in glass fibre/polyester composite used for wind turbine blades
<p>These data are obtained using a Zeiss Xradia Versa 520 scanner to scan a uni-directional glass fibre reinforced polyester composite made from a non-crimp fabric used for wind turbine blades. The scans were performed to study the fatigue damage progression in this material. The data is published together with the below journal paper, in which more information can be found. The present videos of the data relate directly to the figures in this paper.</p> <p>Jespersen, K. M., Zangenberg Hansen, J., Lowe, T., Withers, P. J., & Mikkelsen, L. P. (2016). <em>Fatigue damage assessment of uni-directional non-crimp fabric reinforced polyester composite using X-ray computed tomography</em>. <em>Composites Science and Technology</em>, <em>136</em>, 94–103. DOI:10.1016/j.compscitech.2016.10.006</p> <p>For use of these data, please remember to cite the above mentioned paper.</p> <p>Corresponding author, K. M. Jespersen, e-mail kmun@dtu.dk</p>
UVC Up-Conversion and Vis-NIR Luminescence Examined in SrO-CaO-MgO-SiO2 Glasses Doped with Pr
<p><span>This work was supported by the National Science Centre, Poland, under grant number DEC-2021/41/B/ST5/03792 entitled: Phosphors for UVC LEDs: Self-Disinfecting Surfaces.</span> </p>
Scaling regimes and fluctuations of observables in computer glasses approaching the unjamming transition
<p>This dataset can be used to reproduce the figures in the corresponding manuscript, in preparation for publication in the Journal of Chemical Physics. As described in the manuscript, the (mostly statistical) quantities presented here were computed from ensembles of simulated disordered solids (harmonic sphere packings, diluted spring networks, and packing derived networks). The individual simulations involve the minimization of the system's energy which is computed from positional degrees of freedom (of particles in a packing or nodes in a network). Macroscopic quantities (such as shear modulus or contact number/excess connectivity) are then computed for each sample. The displacement response feilds are computed by solving a linear matrix equation involving the Hessian of 2D packings of harmonic spheres. See the manuscript for more details.</p>
Iron-rich grain-decorated Depressions on Surfaces of Lunar Impact Glasses
<p>The dataset includes the semi-quantitative values and EDS spectra of constitutions of iron-rich grain-decorated depressions on surfaces of Chang'E-5 impact glass particles. Semi-quantitative values were classified by ultra-thin sections, and EDS spectra were marked by sampling sites.</p>
Operating diagram of larvae hatching module, this installation was used to determine the optimum larvae load during the rearing process and provided additional space for rearing several thousand larvae. It consists of nine 20-litre tanks with a glass panel along the front. They are fitted with an inlet supplying filtrated water at a rate of 100 l/h and an individual air inlet. in Reproduction of Zingel asper (Linnaeus, 1758) in controlled conditions: an assessment of the experiences realized since 2005 at the Besançon Natural History Museum
Operating diagram of larvae hatching module, this installation was used to determine the optimum larvae load during the rearing process and provided additional space for rearing several thousand larvae. It consists of nine 20-litre tanks with a glass panel along the front. They are fitted with an inlet supplying filtrated water at a rate of 100 l/h and an individual air inlet.
Bottom of DR1 tank, the sides of the module are fitted with glass panels which allow natural light from a window to enter the tank, and the observer to view the behaviour of the broodstock. This device ensures easy viewing and checking of the broodstock, facilitates management of feeding and allows effective monitoring of reproduction. in Reproduction of Zingel asper (Linnaeus, 1758) in controlled conditions: an assessment of the experiences realized since 2005 at the Besançon Natural History Museum
Bottom of DR1 tank, the sides of the module are fitted with glass panels which allow natural light from a window to enter the tank, and the observer to view the behaviour of the broodstock. This device ensures easy viewing and checking of the broodstock, facilitates management of feeding and allows effective monitoring of reproduction.
Research data for "Predicting Dynamics from Structure in a Sodium Silicate Glass"
<p>This dataset supports the paper "Predicting Dynamics from Structure in a Sodium Silicate Glass".</p> <p>The following files are provided.</p> <p>File: dataset_800.zip</p> <p>- Pickle files for:</p> <ul> <li>400 Sodium silicate glass structures of 3000 atoms</li> <li>30 Trajectories sampled eight times at various timescales up to 1 ns for each if the 400 glass structures</li> </ul> <p>File: in.comb</p> <p>- Lammps inputfile used to generate simulation from with the data in dataset was sampled</p>
Dataset for Femtosecond-Laser-Surface-Nanostructured Glass in BIPV Applications
<p><strong>Summary:</strong></p> <p>This is the collection of datasets for the article titled “Femtosecond-laser-surface-nanostructured glass for building integrated solar concentrator”, published in Materials&Design (ISSN 0264-1275).</p> <p><strong>Methods:</strong></p> <p>The experimental and calculation methods for generating the datasets are described in the original paper.</p> <p><strong>File Description:</strong></p> <p>Unzip "Laser glass.7z" using free and open source software 7-zip. The file contains following content:</p> <p>\IMG_SEM_1\<br>- This folder comprises raw Scanning Electron Microscope (SEM) images captured from the surface normal perspective. Each image is in .tif format with a resolution of 1024 × 768 pixels. The file name begins with the laser scan speed, ranging from 200 to 2000 (in mm/s). The laser scan speed is followed by the zooming rate. Some file names include "_2" at the end, signifying images taken from a different area or captured with adjusted brightness/contrast settings. Partial sections of images taken at a 5000x zoom level were used in Figure 1 in original paper.</p> <p>\IMG_SEM_2\<br>- This folder comprises raw cross-sectional Scanning Electron Microscope (SEM) images taken after cutting the sample through laser textured area. Each image is in .tif format with a resolution of 1024 × 768 pixels. The file name begins with the laser scan speed, ranging from 200 to 1800 (in mm/s). </p> <p>\XRD\<br>- This folder contains raw X-ray Diffraction (XRD) data utilized for creating Figure 2a. Additionally, the folder includes automatically generated metadata files that detail the measurement conditions. Within this folder, Ref.csv provides the XRD spectrum of the unprocessed substrate, while Main.csv contains the spectrum of a sample processed with a laser at a speed of 200 mm/s.</p> <p>\PL\<br>- This folder contains photoluminescence (PL) spectra data. The file PL_1.csv was used to generate Figure 2c, while PL_2.csv was used for Figure 2d. The data in both files are organized in an X-Y-Y... format, with each dataset labeled according to the corresponding figure legend. Note that signals below 450 nm were filtered.</p> <p>\RAMAN.csv<br>- contains raw Raman spectroscopy data used to generate Figure 2b. The dataset includes three columns: the first represents the wavenumber values, which serve as the X-axis for the plot. The second and third columns correspond to the Y-axis data, labeled as "Ref" and "Main." "Ref" represents the Raman spectrum of the unprocessed substrate, while "Main" corresponds to the spectrum of a sample processed with a laser at a speed of 200 mm/s. Note the signal before ~80 cm-1 is filtered and the sharp peak at 416.433 cm-1 is due to noise and excluded from the plot. </p> <p>\Spectrophotometry\<br>- The folder contains Spectrophotometry data used to generate Figure 3. The file Spectra_1.csv includes datasets for reflectance (%R), transmittance (%T), and absorptance (%A), each labeled according to the legends of Figures 3a, 3b, and 3c, respectively. Spectra_2.csv provides data on total reflectance (R_tot_*), diffuse reflectance (R_dif_*), and their ratio (R_*%), corresponding to Figure 3d. The datasets in Spectra_2.csv are organized by processing speed *(mm/s) of the samples.</p> <p>\IV\<br>- The folder contains current-voltage (I-V) measurement data. The file IV_1.csv was used to plot Figure 4c and to calculate the relative photocurrent presented in Figure 4d. The file IV_2.csv was used to plot Supplementary Figure S2 and to calculate the optical power efficiency.</p> <p>\Contact_angle\<br>- The folder contains contact angle measurement data. Stat.csv includes advancing and receding angles shown in Figure 5c. 400_Adv.mp4 and 400_Rec.mp4 contain the advancing and receding angle of the 400 mm/s sample, respectively. </p> <p><strong>Credit:</strong></p> <p>When using the dataset/figures, please cite the original paper.</p>
Fe-bearing magnesium silicate glasses for potential supplementary cementitious applications
<p>The enclosed raw data files include various formats from multiple characterization techniques, covering XPS, BET SSA, XRF, SEM-EDS, ICP, FTIR, XRD, PSD, DSC-TG, TEM-EDS, and Mössbauer analyses. The formats and file details are as follows:</p> <ul> <li>XPS: Provided in .VGD format.</li> <li>BET SSA: Available in .xls and .xps formats.</li> <li>XRF: Data provided in .xlsx format, with filenames containing 'XRF'.</li> <li>SEM-EDS: Reports included in .xlsx format.</li> <li>ICP: Data listed in .pdf format, with filenames including the date and project information.</li> <li>FTIR: Raw data included in .dpt files.</li> <li>XRD: Data provided in .raw and .xrdml formats.</li> <li>PSD: Included in .pdf and .xlsx files, with filenames containing 'PSD'. </li> <li>DSC-TG: Data available in .xls files, with filenames indicating 'DSC_TG'.</li> <li>TEM-EDS: Elemental maps provided in .jpg and .bmp formats.</li> <li>Mössbauer: Raw data provided in .plt files.</li> </ul> <p>Please note that the percentages in the sample names do not correspond directly to the final sample codes (e.g., 25% does not equate to the final G25 sample). This discrepancy has been corrected based on the XRF results. For clarity, refer to the file 'Chuqing Jiang Fe-Mg-Si XRF 04-04-2023 - raw data and calculation.xlsx', which includes detailed renaming of the samples.</p>
Glass Frog Calls
<p>This dataset contains 5296 audio files in .WAV format, corresponding to calls of two glass frog species: <em>Hyalinobatrachium fleischmanni</em> (Hf) and <em>Espadarana prosoblepon </em>(Ep), recorded under controlled laboratory conditions. We further increased the dataset size using noise injection-based data augmentation in one species (Ep), and artificially shifting call frequency in both species. The dataset contains four labelled classes: Hf (1250 calls), Hf-shifted (1250 calls), Ep (1398 calls) and Ep-shifted (1398 calls); each class is in a separate folder.</p> <p>Noise injected files, with white and pink noise, were generated using noise factors of 0.010 and 0.020, respectively, using the random and powerlaw_psd_gaussian functions from numpy (v1.26.4) and colorednoise (v2.2.0) Python libraries.</p> <p>Frequency shifting placed calls in upper or lower parts of spectrum, incorporating additional variability and was used to create two new classes. Hf call frequency was increased by a factor of +4 semitones (4/12), while Ep call frequency was decreased by the same factor (-4), using librosa (v0.10.2) in Python (effects.pitch_shift). Modified calls (‘Hf-shifted’ and ‘Ep-shifted’, respectively) more closely resemble the calls of the other species in terms of their frequency band.</p> <p>Derived audio files partially share file names: '1104-18211-ROI1_pN.WAV' is the 'pink noise' version of '1104-18211-ROI1.WAV', etc.</p> <p>The audio collection is accompanied by a data table (.csv) with no missing or null values, and consists of 4 columns: “File_name”; “Data_Augmentation”, whether the file had noise injection or not, and its type (white or pink); “Frequency_Shift”, whether the audio frequency was artificially shifted or not; and “Class”, which includes the respective labels. The dataset is suitable for machine learning tasks, audio signal processing and statistical analysis.</p>
Fig. 2 in First Japanese records of Anguilla luzonensis (Osteichthyes: Anguilliformes: Anguillidae) glass eels from Okinawa-jima Island, Ryukyu Archipelago, Japan
Fig. 2. Caudal fin and caudal pigmentation pattern of Anguilla luzonensis glass eel (fresh specimens), KYUM-PI-05434.
Fig. 3 in First Japanese records of Anguilla luzonensis (Osteichthyes: Anguilliformes: Anguillidae) glass eels from Okinawa-jima Island, Ryukyu Archipelago, Japan
Fig. 3. Neighbor-joining phylogenetic tree of species of Anguilla in the Indo-Pacific waters based on partial 16S rRNA sequences. The numbers beside internal branches indicate bootstrap probabilities for 1,000 replicates.
Global aerodynamic parameters in 1982-2017 based on GLASS LAI (v1.1 update to 2020)
<p>The bulk surface properties, including canopy height (ht), zero-plane displacement height (d), and roughness length (z0) are crucial biophysical parameters that influence momentum, energy, and mass exchanges at the land-atmosphere interface. Here we provide a global estimate of bulk aerodynamic parameters during 1982-2017 at 0.05-degree spatial resolution and monthly temporal interval, using remote-sensed leaf area index, canopy height, and a turbulent transfer model. Two separate datasets are generated using GLASS LAI and GIMMS LAI. This dataset includes the products based on GLASS LAI. </p> <p>Details can be found: </p> <p>Liu, Y., Guo, W., Huang, H., Ge, J., Qiu, B., 2021. Estimating global aerodynamic parameters in 1982–2017 using remote-sensing data and a turbulent transfer model. Remote Sens. Environ. 260, 112428. https://doi.org/https://doi.org/10.1016/j.rse.2021.112428</p>
Mingei_Glass_MKV_files
This is a part of Bontemps carafe making process (from the Mingei project).
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DANDI Archive for NWB datasets
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OpenNeuro
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