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1,651 results for “Planes”
Smoothing plane prop
An old and worn smoothing plane for all your wood smoothing needs. Texture = 1 X 4096 x 4096. Source: Objaverse 1.0 / Sketchfab
Supplementary material to 'Collapse fragility analysis of historical masonry buildings considering in-plane and out-of-plane response of masonry walls'
<p>This repository provides the numerical models of buildings developed in OpenSees and the selected ground motions to perform IDAs referred to in the manuscript "<em>Collapse fragility analysis of historical masonry buildings considering in-plane and out-of-plane response of masonry walls</em>" submitted for publication in <em>Engineering Structures</em>.</p>
Hyperspectral Oblique Plane Microscopy -- microparticles 3D & laser beam profile & hyperspectral image of UV adhesive
<p>Processed spectra data for microparticle classification and raw hyperspectral images from mixture of microparticle</p>
Abaqus models and input files for simplified micro models of in-plane loaded masonry walls
<p>The data set contains the Abaqus input files of the numerical analyses presented in two research papers.</p> <p>1) Influence of load history on the force-displacement response of in-plane loaded unreinforced masonry walls, <em>Engineering Structures, </em>2017, <a href="https://www.sciencedirect.com/science/article/pii/S0141029617304248?via%3Dihub">Link</a></p> <p>2) Shear-compression tests of URM walls: Various setups and their influence on experimental results, <em>Engineering Structures</em>, 2017, <a href="https://www.sciencedirect.com/science/article/pii/S0141029617309082?via%3Dihub">Link</a></p>
Matlab code for the 'Force–displacement response of in-plane loaded unreinforced brick masonry walls: the Critical Diagonal Crack model'
<p>The repository contains the the Matlab code and the test data (.csv files) used for the analyses and results presented in the research article:</p> <p>Force–displacement response of in-plane loaded unreinforced brick masonry walls: the Critical Diagonal Crack model, <em>Bulletin of Earthquake Engineering</em>,<em> </em>2017, <a href="https://link.springer.com/article/10.1007%2Fs10518-016-0049-7">Link</a></p>
Repulsion Plane
<p>Repulsion Planes testing </p>
Plane-wave propagation path data from wideband MIMO channel sounding in an urban microcellular scenario
<p>We provide plane-wave propagation path data from a wideband MIMO radio channel sounding measurement in an urban microcell scenario. The binary Matlab file includes: direction of departure (DOD: variables "par.PhiTx" and "par.ThetaTx" in [rad]), direction of arrival (DOA: "par.PhiRx" and "par.ThetaRx" in [rad]), delay ("par.Tau" to be multiplied with 8.3ns, the tab length), and complex polarimetric path gain ("par.Alpha" is a 2x2 matrix, where element [1,1]=TXtheta ->RXtheta, [1,2]=TXphi ->RXtheta, [2,1]=TXtheta->RXphi, and [2,2]=TXphi->RXphi), for the 30 strongest signal paths (from TX to RX) at each of the 4574 RX locations along the route described below. In the element names above, the term "theta" refers to the vertically polarised component, and accordingly the term "phi" referes to the horizontally polarised component.<br> Note #1: The exact RX location for each individual measured radio channel was NOT recorded (see route description below). <br> Note #2: The complex path gain (par.Alpha) is NOT calibrated, but depends on the initially fixed AGC level in the receiver, which was chosen to provide the best dynamic range for the given mobile (RX) route.<br> Both these limitations are seen reasonable since this dataset is meant for the realistic *statistical comparison* of the performance of different RX antennas in a microcell environment (and not to determine the actual received power at each exact location of the measured route).<br> Background information: The provided dataset is processed and is based on a radio channel sounder measurement at 5.3 GHz, carried out in downtown Helsinki, Finland, in April 2004. The uniform rectangular transmit (TX) array was placed at 10 m height in Aleksanterinkatu-street (an approx. 15-m wide street canyon), in front of the Nordea building, broadside pointing westwards (towards Stockmann building). The semishperical receive (RX) array was moved at 1.6-m height and for about 50 m along Aleksanterinkatu-street in line-of-sight (LOS), i.e. from in front of Kluuvi shopping centre westwards just across the crossing of Kluuvikatu-street. The TX and RX arrays cover the relevant azimuth and elevation ranges, so that this plane wave propagation path data can directly be combined with the polarimetric directional radiation pattern(s) of an antenna (array).</p>
Supporting data for "Spectroscopy of Quantum Dot Orbitals with In-Plane Magnetic Fields"
<p>Supporting data for<br> "Hyperfine-phonon spin relaxation in a single-electron GaAs quantum dot"<br> Leon C. Camenzind, Liuqi Yu, Peter Stano, Jeramy D. Zimmerman, Arthur C. Gossard, Daniel Loss & Dominik M. Zumbühl</p> <p><em>Phys. Rev. Lett. <strong>122</strong>, 207701 – Published 22 May 2019</em></p>
Matlab code for 'Analytical model for the out-of-plane response of vertically spanning unreinforced masonry walls'
<p>This repository contains the Matlab scripts needed to reproduce the results shown in the article:</p> <blockquote> <p>Godio M, Beyer K. Analytical model for the out-of-plane response of vertically-spanning unreinforced masonry walls. Earthquake Engng Struct Dyn. 2017;46:2757-2776. <a href="https://onlinelibrary.wiley.com/doi/full/10.1002/eqe.2929">DOI:10.1002/eqe.2929</a></p> </blockquote> <p>Version history:<br> V1: Matlab code needed to reproduce the plots of Figure 4 of the article is added<br> V2: content PDF-file is added</p>
Supplemental material to 'Quantifying the out-of-plane response of unreinforced masonry walls subjected to relative support motion'
<p>This repository contains the results of numerical simulations along with the Matlab scripts needed to reproduce the results shown in the article:</p> <blockquote> <p>Godio M, Beyer K. Quantifying the out-of-plane response of unreinforced masonry walls subjected to relative support motion. Frattura ed Integrità Strutturale (Fracture and Structural Integrity). 2019;50:194-208. <a href="https://www.fracturae.com/index.php/fis/article/view/2533">DOI:10.3221/IGF-ESIS.50.17</a></p> </blockquote> <p>Version history<br> V1: datasets added to the repository<br> V2: content PDF-file added to the repository</p>
Supplemental material to 'Evaluation of force-based and displacement-based out-of-plane seismic assessment methods for unreinforced masonry walls through refined model simulations'
<p>This repository contains the results of discrete element simulations used to study the response of vertically-spanning unreinforced masonry walls under different wall configurations. The simulations are run using the software package UDEC 6.0 (<a href="https://www.itascacg.com/">Itasca</a>). The dataset has served as basis for the study conducted in the following paper:</p> <blockquote> <p>Godio M, Beyer K. Evaluation of force-based and displacement-based out-of-plane seismic assessmentmethods for unreinforced masonrywalls through refined model simulations. Earthquake Engng Struct Dyn. 2019;48:454-475. <a href="http://doi.org/10.1002/eqe.3144">DOI:10.1002/eqe.3144</a></p> </blockquote> <p>Version history:<br> V1: datasets '01_UDEC_VALIDATION' and '02_UDEC_RESULTS are added<br> V2: minor modifications to the datasets: deletion of unwanted temporary files from the datasets<br> V3: '00_CONTENT' PDF-file is added </p>
Replication Data for: (111)-oriented, single crystal diamond tips for nanoscale scanning probe imaging of out-of-plane magnetic fields
<p>Data repository for: <strong>(111)-oriented, single crystal diamond tips for nanoscale scanning probe imaging of out-of-plane magnetic fields</strong></p> <p><em>Data description.pdf </em>describes the uploaded data.<br> <em>Data.xlsx</em> is the data represented in the paper.</p>
Dataset for "Generalizing deep-learning electronic structure calculation to plane-wave basis"
<div> <div>This is the dataset for the paper "Generalizing deep-learning electronic structure calculation to plane-wave basis". For details, please see README.md.</div> </div>
DIC Images and Data of In-Plane Cyclic Testing of a 3D-Woven Layer-to-Layer Angle Interlock Composite
<p>Data behind the publications:</p> <ul> <li>C. Oddy, M. Song, C. Stewart, B. El Said, M. Ekh, S. Hallett and Martin Fagerström: On and Off-Axis Cyclic Behaviour of 3D-Woven Composites: Experimental Testing and Macroscale Modelling. Submitted for international publication.</li> </ul> <p>For each test sample orientation and excel file is provided. This includes the machinedata giving the time, machine displacement and force. On another sheet, informationfrom the DIC analysis is given, including the time and force signal organised accordingto the image frame number. The DIC images are also provided.</p> <p>The testing was carried out using a serial camera DIC system. However, as part of this publication, the images have only been provided from one of the camera systems. They have also been exported at a lower image quality than the original analysis. The authors' can recommend the use of open source DIC software, for example DICe (https://github.com/dicengine/dice), to carry out any type of further image processing. Processing the stereo image as a 2D analysis at a lower image quality may lead to some deviations in the extracted strain or displacement fields. The authors however have compared the results and have not seen any notable inconsistencies. We hope that these images can be useful to you in your own research endeavours! </p> <p> </p>
Digital image correlation experiments involving in-plane loading of a composite laminate
<div>----------------------------------------------------------------------------------------------------------------------------------------------------------------------</div> <div>-------------------------------------------------------------------------------- <strong>SUMMARY</strong> ---------------------------------------------------------------------------</div> <div>----------------------------------------------------------------------------------------------------------------------------------------------------------------------</div> <div> </div> <div>Stereo-DIC 5 MPx system was used to perform experiments on a composite laminate.</div> <div>Thickness = 2.48 mm</div> <div>Layup is [0, 45 -45 90]2s leading to quasi-isotropic behaviour</div> <div> </div> <div>----------------------------------------------------------------------------------------------------------------------------------------------------------------------</div> <div>-------------------------------------------------------------------------------- <strong>FOLDERS </strong>---------------------------------------------------------------------------</div> <div>----------------------------------------------------------------------------------------------------------------------------------------------------------------------</div> <div> </div> <div><strong>Image sets: </strong> </div> <div><strong>Sample 1:</strong> monotonically loaded up to 7.2 kN. <br><strong>Sample 2: </strong>monotonically loaded up to 10 kN.<br><strong>Sample 3:</strong> loaded cyclically with increasing peak load to study the presence of permanent strains.</div> <div> </div> <div><strong>Each folder contains the following subfolders:</strong></div> <div><strong>stationary: </strong>stationary images for DIC noise evaluation</div> <div><strong>calib: </strong>calibration target images for stereo-DIC calibration using MatchID software</div> <div><strong>test: </strong>images of the test sample being loaded, with force.csv including load reading from the uniaxial test bench synced with the images. </div> <div> </div> <div> </div> <div>----------------------------------------------------------------------------------------------------------------------------------------------------------------------</div> <div>------------------------------------------------------------------------ <strong>SUPPORTING NINFORMATION </strong>--------------------------------------------------------------------</div> <div>---------------------------------------------------------------------------------------------------------------------------------------------------------------------- </div> <div> </div> <div>Each calibration image folder contains a *.caldat file with intrinsic and extrinsic stereo camera parameters identified by MatchID 2024.2 DIC package.</div>
Summary of in-plane compression performances of FFF-printed PEI lattices_Spoke11_WP2_Task2.3_MOST
Open the record for dataset details and reuse information.
Fetal planes and organs
<p>The dataset presents 2D US scans of fetal morphology. They are divided in different view planes, and the organs are segmented.</p>
FIGURES 1–5 in Morphology of the last instar larva and pupa of Synanthedon caucasica (Gorbunov 1986) (Lepidoptera: Sesiidae), a serious pest of oriental plane and elm trees
FIGURES 1–5. Larva of Synanthedon caucasica. Head capsule – 1. Frontal view, 2. Lateral view, 3. Mandible – the last instar larva, 4. Mandible – the third instar larva, 5. Setal map of thorax (T1–3) and abdomen (A1–A9) segments. Scale bar: 1, 2 – 0.5 mm; 3, 4 – 0.25 mm.
FIGURES 6–11 in Morphology of the last instar larva and pupa of Synanthedon caucasica (Gorbunov 1986) (Lepidoptera: Sesiidae), a serious pest of oriental plane and elm trees
FIGURES 6–11. Scanning electron micrographs of larva of Synanthedon caucasica: 6. Third segment of maxillary palpus, 7. Antenna, 8. Crochets on an larval proleg, 9. Close-up of antenna, 10. Crochets on fourth abdominal proleg, 11. Prothoracic leg. Scale bar: 6 – 1 μm; 7, 8, 9 – 10 μm; 10,11 – 100 μm.
FIGURES 12–18 in Morphology of the last instar larva and pupa of Synanthedon caucasica (Gorbunov 1986) (Lepidoptera: Sesiidae), a serious pest of oriental plane and elm trees
FIGURES 12–18. Morphology of pupa of Synanthedon caucasica: 12. Ventral view, 13. Frons laterally, 14. Frons dorsally, 15. Proboscis and leg ends, 16. Labrum and vicinity, 17. Spines on abdominal segments dorsally, 18. Abdominal end ventrally. Scale bar: 13, 14, 16, 17, 18 – 0,5 mm, 15 – 1 mm 12 – 2 mm.
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.