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1,013 results for “glass”
SPH-EXA template glass blocks for initial conditions generation
<p>SPH-EXA can use template particle configurations to generate glass-like initial particle distributions of arbitrary size by stacking the template blocks. Unlike regularly spaced grids, glass-like particle arrangements are anisotropic with respect to mean inter-particle distances and prevent certain simulation artifacts, such as the hour-glass effect.</p> <p>The following files were generated with the code released at https://github.com/jdonnert/WVTICs, described here:<br> https://ui.adsabs.harvard.edu/abs/2017MNRAS.471.4587D/abstract</p> <p>50c.h5: 50^3 particles<br> 40c.h5: 40^3 particles<br> 30c.h5: 30^3 particles<br> <br> </p> <p> </p>
Monthly aggregated GLASS FAPAR V6 (250 m): 50th percentile monthly time-series (2005)
<p><strong>List of Subdatasets:</strong></p> <ul> <li>Long-term data: <a href="https://doi.org/10.5281/zenodo.8381409">2000-2021</a></li> <li>5th percentile (p05) monthly time-series: <a href="https://doi.org/10.5281/zenodo.8408654">2000</a>, <a href="https://doi.org/10.5281/zenodo.8411611">2001</a>, <a href="https://doi.org/10.5281/zenodo.8412712">2002</a>, <a href="https://doi.org/10.5281/zenodo.8413021">2003</a>, <a href="https://doi.org/10.5281/zenodo.8413689">2004</a>, <a href="https://doi.org/10.5281/zenodo.8414639">2005</a>, <a href="https://doi.org/10.5281/zenodo.8411609">2006</a>, <a href="https://doi.org/10.5281/zenodo.8414085">2007</a>, <a href="https://doi.org/10.5281/zenodo.8414960">2008</a>, <a href="https://doi.org/10.5281/zenodo.8415476">2009</a>, <a href="https://doi.org/10.5281/zenodo.8415686">2010</a>, <a href="https://doi.org/10.5281/zenodo.8412154">2011</a>, <a href="https://doi.org/10.5281/zenodo.8414082">2012</a>, <a href="https://doi.org/10.5281/zenodo.8411364">2013</a>, <a href="https://doi.org/10.5281/zenodo.8414933">2014</a>, <a href="https://doi.org/10.5281/zenodo.8415414">2015</a>, <a href="https://doi.org/10.5281/zenodo.8412246">2016</a>, <a href="https://doi.org/10.5281/zenodo.8414083">2017</a>, <a href="https://doi.org/10.5281/zenodo.8411366">2018</a>, <a href="https://doi.org/10.5281/zenodo.8415203">2019</a>, <a href="https://doi.org/10.5281/zenodo.8415549">2020</a>, <a href="https://doi.org/10.5281/zenodo.8387608">2021</a></li> <li>50th percentile (p50) monthly time-series: <a href="https://doi.org/10.5281/zenodo.8408710">2000</a>, <a href="https://doi.org/10.5281/zenodo.8408798">2001</a>, <a href="https://doi.org/10.5281/zenodo.8408866">2002</a>, <a href="https://doi.org/10.5281/zenodo.8415319">2003</a>, <a href="https://doi.org/10.5281/zenodo.8415619">2004</a>, <a href="https://doi.org/10.5281/zenodo.8415878">2005</a>, <a href="https://doi.org/10.5281/zenodo.8416080">2006</a>, <a href="https://doi.org/10.5281/zenodo.8416619">2007</a>, <a href="https://doi.org/10.5281/zenodo.8417164">2008</a>, <a href="https://doi.org/10.5281/zenodo.8417513">2009</a>, <a href="https://doi.org/10.5281/zenodo.8417708">2010</a>, <a href="https://doi.org/10.5281/zenodo.8415669">2011</a>, <a href="https://doi.org/10.5281/zenodo.8416000">2012</a>, <a href="https://doi.org/10.5281/zenodo.8416542">2013</a>, <a href="https://doi.org/10.5281/zenodo.8417055">2014</a>, <a href="https://doi.org/10.5281/zenodo.8417467">2015</a>, <a href="https://doi.org/10.5281/zenodo.8415747">2016</a>, <a href="https://doi.org/10.5281/zenodo.8416333">2017</a>, <a href="https://doi.org/10.5281/zenodo.8416835">2018</a>, <a href="https://doi.org/10.5281/zenodo.8417326">2019</a>, <a href="https://doi.org/10.5281/zenodo.8417589">2020</a>, <a href="https://doi.org/10.5281/zenodo.8388078">2021</a></li> <li>95th percentile (p95) monthly time-series: <a href="https://doi.org/10.5281/zenodo.8408949">2000</a>, <a href="https://doi.org/10.5281/zenodo.8409059">2001</a>, <a href="https://doi.org/10.5281/zenodo.8409154">2002</a>, <a href="https://doi.org/10.5281/zenodo.8409362">2003</a>, <a href="https://doi.org/10.5281/zenodo.8416487">2004</a>, <a href="https://doi.org/10.5281/zenodo.8417029">2005</a>, <a href="https://doi.org/10.5281/zenodo.8417833">2006</a>, <a href="https://doi.org/10.5281/zenodo.8417996">2007</a>, <a href="https://doi.org/10.5281/zenodo.8418308">2008</a>, <a href="https://doi.org/10.5281/zenodo.8418669">2009</a>, <a href="https://doi.org/10.5281/zenodo.8418986">2010</a>, <a href="https://doi.org/10.5281/zenodo.8417649">2011</a>, <a href="https://doi.org/10.5281/zenodo.8417816">2012</a>, <a href="https://doi.org/10.5281/zenodo.8417959">2013</a>, <a href="https://doi.org/10.5281/zenodo.8418253">2014</a>, <a href="https://doi.org/10.5281/zenodo.8418625">2015</a>, <a href="https://doi.org/10.5281/zenodo.8417759">2016</a>, <a href="https://doi.org/10.5281/zenodo.8417898">2017</a>, <a href="https://doi.org/10.5281/zenodo.8418076">2018</a>, <a href="https://doi.org/10.5281/zenodo.8418442">2019</a>, <a href="https://doi.org/10.5281/zenodo.8418751">2020</a>, <a href="https://doi.org/10.5281/zenodo.8392976">2021</a></li> </ul> <p><strong>General Description</strong></p> <p>The <i>monthly aggregated Fraction of Absorbed Photosynthetically Active Radiation (FAPAR)</i> dataset is derived from <abbr title="glass.umd.edu/FAPAR/MODIS/250m/">250m 8d GLASS V6 FAPAR</abbr>. The data set is derived from Moderate Resolution Imaging Spectroradiometer (MODIS) reflectance and LAI data using several other FAPAR products (MODIS Collection 6, GLASS FAPAR V5, and PROBA-V1 FAPAR) to generate a bidirectional long-short-term memory (Bi-LSTM) model to estimate FAPAR. The dataset time spans from March 2000 to December 2021 and provides data that covers the entire globe. The dataset can be used in many applications like land degradation modeling, land productivity mapping, and land potential mapping. The dataset includes:</p> <ul> <li><strong>Long-term:</strong></li> </ul> <p>Derived from monthly time-series. This dataset provides linear trend model for the p95 variable: (1) slope beta mean (p95.beta_m), p-value for beta (p95.beta_pv), intercept alpha mean (p95.alpha_m), p-value for alpha (p95.alpha_pv), and coefficient of determination R<sup>2</sup> (p95.r2_m).</p> <ul> <li><strong>Monthly time-series:</strong></li> </ul> <p>Monthly aggregation with three standard statistics: (1) 5th percentile (p05), median (p50), and 95th percentile (p95). For each month, we aggregate all composites within that month plus one composite each before and after, ending up with 5 to 6 composites for a single month depending on the number of images within that month.</p> <p><strong>Data Details</strong></p> <ul> <li><strong>Time period:</strong> March 2000 – December 2021</li> <li><strong>Type of data:</strong> Fraction of Absorbed Photosynthetically Active Radiation (FAPAR)</li> <li><strong>How the data was collected or derived:</strong> Derived from 250m 8 d GLASS V6 FAPAR using Python running in a local HPC. The time-series analysis were computed using the <a href="https://github.com/scikit-map/scikit-map">Scikit-map</a> Python package.</li> <li><strong>Statistical methods used:</strong> for the long-term, Ordinary Least Square (OLS) of p95 monthly variable; for the monthly time-series, percentiles 05, 50, and 95.</li> <li><strong>Limitations or exclusions in the data:</strong> The dataset does not include data for Antarctica.</li> <li><strong>Coordinate reference system:</strong> EPSG:4326</li> <li><strong>Bounding box (Xmin, Ymin, Xmax, Ymax):</strong> (-180.00000, -62.0008094, 179.9999424, 87.37000)</li> <li><strong>Spatial resolution:</strong> 1/480 d.d. = 0.00208333 (250m)</li> <li><strong>Image size:</strong> 172,800 x 71,698</li> <li><strong>File format:</strong> Cloud Optimized Geotiff (COG) format.</li> </ul> <p><strong>Support</strong></p> <p>If you discover a bug, artifact, or inconsistency, or if you have a question please raise a GitHub issue: <a href="https://github.com/Open-Earth-Monitor/Global_FAPAR_250m/issues">https://github.com/Open-Earth-Monitor/Global_FAPAR_250m/issues</a></p> <p><strong>Reference</strong></p> <p>Hackländer, J., Parente, L., Ho, Y.-F., Hengl, T., Simoes, R., Consoli, D., Şahin, M., Tian, X., Herold, M., Jung, M., Duveiller, G., Weynants, M., Wheeler, I., (2023?) "Land potential assessment and trend-analysis using 2000–2021 FAPAR monthly time-series at 250 m spatial resolution", submitted to PeerJ, preprint available at: <a href="https://doi.org/10.21203/rs.3.rs-3415685/v1">https://doi.org/10.21203/rs.3.rs-3415685/v1</a></p> <p><strong>Name convention</strong></p> <p>To ensure consistency and ease of use across and within the projects, we follow the standard Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describes important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are:</p> <ol> <li><strong>generic variable name:</strong> fapar = Fraction of Absorbed Photosynthetically Active Radiation</li> <li><strong>variable procedure combination:</strong> essd.lstm = Earth System Science Data with bidirectional long short-term memory (Bi–LSTM)</li> <li><strong>Position in the probability distribution / variable type:</strong> p05/p50/p95 = 5th/50th/95th percentile</li> <li><strong>Spatial support:</strong> 250m</li> <li><strong>Depth reference:</strong> s = surface</li> <li><strong>Time reference begin time:</strong> 20000301 = 2000-03-01</li> <li><strong>Time reference end time:</strong> 20211231 = 2022-12-31</li> <li><strong>Bounding box:</strong> go = global (without Antarctica)</li> <li><strong>EPSG code:</strong> epsg.4326 = EPSG:4326</li> <li><strong>Version code:</strong> v20230628 = 2023-06-28 (creation date)</li> </ol>
Handel reverse painted glass lamp shade
Anyone need a lamp shade? 20th Century. Signed J Bailey, Handel, and numbered 737. Shade Diameter 17 1/2. Source: Objaverse 1.0 / Sketchfab
Machine- Made Glass Bottle
This Glass bottle is most likely a medicine bottle. It was found during an archaeological excavation at Miller Grove, located in the Shawnee National Forest area. The site name is the 'McClure site'. The crew that found this bottle was part of an SIU summer 2019 field school. The field school was led by Dr. Mark J. Wagner. Source: Objaverse 1.0 / Sketchfab
Glasses
Glasses, also known as eyeglasses or spectacles, are devices consisting of glass or hard plastic lenses mounted in a frame that holds them in front of a person's eyes, typically using a bridge over the nose and arms which rest over the ears. Glasses are typically used for vision correction, such as with reading glasses and glasses used for nearsightedness. Source: Objaverse 1.0 / Sketchfab
Dún Ailinne E4689.154 Glass Bead
Dún Ailinne is **located on private land** south of Kilcullen in Co. Kildare. The first excavations (1968-1975) focused on the hill summit and established that there was activity from the Neolithic (5000BC) onwards. The evidence recovered indicated that the site would have served as a major prehistoric center during Irish prehistory, particularly during the Iron Age, and acted as a place where communities came together to enact ritual and ceremony. Since 2016, new investigations have recovered several features and artifacts including this glass bead in 2019. Its form and decoration indicate that it is a Frankish import from the mid-6th to 7th century CE. More information on the bead can be found in the [Archaeology Ireland Summer 2020 issue](shorturl.at/dkouU). The bead is currently stored in the National Museum of Ireland. **This model was created using reference photos in Blender by K. Wyatt, head of the [3D Scanning Lab at the University of Oklahoma Libraries]((https://sketchfab.com/libedge))**. Source: Objaverse 1.0 / Sketchfab
Ultra-fast time-lapse synchrotron radiation CT imaging of compressive failure in unidirectional glass fibre-epoxy composite
<p>This series of ultra-fast X-ray computed tomography datasets were acquired on the TOMCAT beamline at the Swiss Light Source by the composite group at Henry Moseley X-ray Imaging Facility (within the Henry Royce Institute @Manchester).</p> <p>The experiment was designed to help understand the catastrophic failure of unidirectional fibre reinforced composites under compression, as part of Ying Wang's PhD project (<em>Damage Mechanisms Associated with Kink-Band Formation in Unidirectional Fibre Composites</em>) supervised by Prof. Philip J. Withers.</p> <p>A notched unidirectional glass fibre-epoxy composite specimen was loaded in-situ under compression in a tension/compression rig developed at INSA-Lyon. An initial scan of the composite gauge section was acquired before loading (GFRP_Initial.zip). During the in-situ loading process, the composite specimen was imaged statically at 200 N (GFRP_Static_200N.zip) and 600 N (GFRP_Static_600N.zip), after which the acquisition mode was changed to continuous streaming in order to capture the final stages immediately leading up to failure, at 876 N (GFRP_Continuous_876N.zip), 893 N (GFRP_Continuous_893N.zip), 895 N (GFRP_Continuous_895N.zip), and right after collapse (at 79 N, GFRP_Failed.zip).</p> <p>The CT acquisition speed attained 1 tomogram per second. The voxel size of the reconstructed CT data-sets is (1.1 μm)<sup>3</sup>.</p> <p> </p> <p><strong>Update regarding the fibre trajectories on 20 August 2024:</strong></p> <p>The extracted fibre trajectories dataset for Fig.4 in the published paper "<em>Wang, Y., Emerson, M. J., Conradsen, K., Dahl, A. B., Dahl, V. A., Maire, E. and Withers, P. J. (2021). Evolution of Fibre Deflection Leading to Kink-band Formation in Unidirectional Glass Fibre/Epoxy Composite Under Axial Compression. Composites Science and Technology, 213, 108929. " </em>has been added to this new version.</p> <p>Please note that the centre positions of 5229 fibres (the row number of x and y coordinates corresponds to the fibre number) on the 1264 xy CT slices (the column number of x and y coordinates corresponds to the slice number) were stored in this file. The x, y, and z (slice number) coordinates all need to be multiplied by the voxel size of 1.1 μm to get the physical positions of the fibre trajectories.</p> <p> </p> <p><strong>For use of the data, please cite the DOI of the repository </strong><strong>and the relevant papers -</strong></p> <p><em><strong>http://doi.org/10.5281/zenodo.13348028</strong></em></p> <p><em>Wang, Y., Emerson, M. J., Conradsen, K., Dahl, A. B., Dahl, V. A., Maire, E. and Withers, P. J. (2021). Evolution of Fibre Deflection Leading to Kink-band Formation in Unidirectional Glass Fibre/Epoxy Composite Under Axial Compression. Composites Science and Technology, 213, 108929. </em></p> <p><em>Emerson, M. J., Wang, Y., Withers, P. J., Conradsen, K., Dahl, A. B., and Dahl, V. A. (2018). Quantifying fibre reorientation during axial compression of a composite through time-lapse X-ray imaging and individual fibre tracking. Composites Science and Technology, 168, 47-54. </em></p> <p><em>Wang, Y., Garcea, S. C., Lowe, T., Maire, E., Soutis, C. and Withers, P. J. (2016). Ultra-fast time-lapse synchrotron radiographic imaging of compressive failure in CFRP. In ECCM16-16th European Conference on Composite Materials, Munich, Germany.</em></p> <p><em>Garcea, S. C. , Wang, Y. and Withers, P. J. (2018). X-ray computed tomography of polymer composites, Composites Science and Technology (156), 305-319.</em></p> <p><em>Wang, Y., Garcea, S. C. and Withers, P. J. (2018). Computed Tomography of Composites in Comprehensive Composite<br>Materials II (7), 101-118. Eds. Beaumont PWR, Zweben CH. Elsevier.</em></p> <p> </p> <p><strong>Contact details of the authors: </strong></p> <p>Ying Wang - ywang1@buaa.edu.cn</p> <p>Philip J. Withers - p.j.withers@manchester.ac.uk</p>
Investigation of the Effects of Exercises Performed With Stroboscopic Glasses on Athletic Performance in Volleyball Players
ClinicalTrials.gov study NCT07323108. IPD Sharing: NO. Countries: 1. Publications: 4.
Clinical Trial of Peripheral Prism Glasses for Hemianopia
ClinicalTrials.gov study NCT00494676. IPD Sharing: Not stated. Countries: 2. Publications: 3.
A Registry for Patients With Multifocal Ground Glass Opacities (GGOs)
ClinicalTrials.gov study NCT03802981. IPD Sharing: YES. Countries: 2. Publications: 0.
Comparison of AmblyzTM Glasses and Patching for Amblyopia
ClinicalTrials.gov study NCT01973348. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Glass Ionomer Sealant and Fluoride Varnish Study to Prevent Early Childhood Caries
ClinicalTrials.gov study NCT01129440. IPD Sharing: YES. Countries: 1. Publications: 4.
Comparing Augmented Reality and Virtual Reality Glasses to Help Children Feel Less Pain and Anxiety During Local Anesthesia
ClinicalTrials.gov study NCT07060170. IPD Sharing: NO. Countries: 1. Publications: 5.
Sorafenib Tosylate and Yttrium Y 90 Glass Microspheres in Treating Patients With Liver Cancer That Cannot Be Removed by Surgery
ClinicalTrials.gov study NCT01900002. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Validating GLASS Score in Predicting Acute Limb Events in CLTI Patients
ClinicalTrials.gov study NCT06186544. IPD Sharing: NO. Countries: 1. Publications: 1.
Hyperopia Treatment Study 1 (HTS1) - Glasses vs Observation
ClinicalTrials.gov study NCT01515475. IPD Sharing: YES. Countries: 1. Publications: 3.
Clinical Trial of Multi-Periscopic Prism Glasses for Hemianopia
ClinicalTrials.gov study NCT04827147. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Bioactive Glass (Sol-gel) for Alveolar Bone Regeneration After Surgical Extraction
ClinicalTrials.gov study NCT01878084. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Efficacy of Fractional Microneedle Radiofrequency and Fractional Erbium-Doped Glass 1,565-nm for Baggy Lower Eyelids
ClinicalTrials.gov study NCT04237324. IPD Sharing: NO. Countries: 1. Publications: 31.
Yttrium-90 (Y90) Glass Microspheres PET/CT in Imaging Patients With Liver Tumors
ClinicalTrials.gov study NCT03109262. IPD Sharing: NO. Countries: 1. Publications: 1.
ScienceDex guides
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