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10,561 results for “mechanics”
Disentangling mechanical and sensory modules in the radiation of Noctilionoid bats
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Dataset 2 of 5 from: Atomistic mechanisms of the regulation of small conductance Ca 2+ -activated K + channel (SK2) by PIP2
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Data from: Tool use increases mechanical foraging success and tooth health in southern sea otters (Enhydra lutris nereis)
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Optomechanical microwave amplification without mechanical amplification
<p>High-gain and low-noise signal amplication is a valuable tool in various cryogenic microwave experiments. A microwave optomechanical device, in which a vibrating capacitor modulates the frequency of a microwave cavity, is one technique that is able to amplify microwave signals with high gain and large dynamical range. Such optomechanical ampliers typically rely on strong backaction of microwave photons on the mechanical mode achieved in the sideband-resolved limit of optomechanics. Here, we observe microwave amplication in an optomechanical cavity in the extremely unresolved sideband limit. A large gain is observed for any detuning of the single pump tone within the cavity linewidth, a clear indication that the amplication is not induced by dynamical backaction. By being able to amplify for any detuning of the pump signal, the amplication center frequency can be tuned over the entire range of the broad cavity linewidth. Additionally, by providing microwave amplication without mechanical amplication, we predict that using this scheme it is possible to achieve near-quantum-limited microwave amplication despite a large thermal occupation of the mechanical mode.</p>
Database of mechanism of action paths for selected drug-disease indications
<p>Mechanistic paths that lead from drug to disease in a heterogeneous network.</p> <p>Version 1.1.0 includes a new tab `metapaths_biolink` where the majority of node and edge types have been mapped to entities and relationship slots in the <a href="https://biolink.github.io/biolink-model/">biolink model.</a> Concepts unable to be mapped at this time are represented in ALL CAPS.</p> <p>JSON version of the paths available <a href="https://github.com/SuLab/indication_moa_db/tree/1.0">on GitHub</a></p>
Data for "Cavity electromechanics with parametric mechanical driving"
<p>Data as plotted in the Main Paper and Supplementary Material. Raw data of the main paper. In addition some python and labview analysis and fitting scripts, as well as origin files used for processing and plotting.</p>
Data for: Mechanisms of root-reinforcement in soils: an experimental methodology using four-dimensional X-ray computed tomography and digital volume correlation
<p>Collection of data files used in the paper titled: Mechanisms of root-reinforcement in soils: an experimental methodology using four-dimensional X-ray computed tomography and digital volume correlation.</p> <p>Additional dataset which covers the noise study CT scans and digital volume correlation noise studies can be found in DOI: <a href="http://www.doi.org/10.5281/zenodo.3352268">10.5281/zenodo.3361832</a></p> <p><strong>Data contains the following:</strong></p> <ul> <li>X-ray CT data for the interrupted direct shear tests of a soil sample containing a Willow plant. The first file is the specimen scanned unloaded, followed by seven incremental shear load steps to 20 mm shear displacement. Files are 8-bit unsigned and 1800x1800x1600px. Voxel resolution is 0.04642 mm. <ol> <li><strong>20180430_HUTCH_1839_DJB_willow_C_8-bit_1800x1800x1600.raw</strong></li> <li><strong>20180430_HUTCH_1839_DJB_willow_C_Load_A_8-bit_1800x1800x1600.raw</strong></li> <li><strong>20180430_HUTCH_1839_DJB_willow_C_Load_B_8-bit_1800x1800x1600.raw</strong></li> <li><strong>20180430_HUTCH_1839_DJB_willow_C_Load_C_8-bit_1800x1800x1600.raw</strong></li> <li><strong>20180430_HUTCH_1839_DJB_willow_C_Load_D_8-bit_1800x1800x1600.raw</strong></li> <li><strong>20180430_HUTCH_1839_DJB_willow_C_Load_E_8-bit_1800x1800x1600.raw</strong></li> <li><strong>20180430_HUTCH_1839_DJB_willow_C_Load_F_8-bit_1800x1800x1600.raw</strong></li> <li><strong>20180430_HUTCH_1839_DJB_willow_C_Load_G_8-bit_1800x1800x1600.raw</strong></li> </ol> </li> <li>Direct shear vs. displacement data is presented in an Excel spreadsheet: <ul> <li><strong>All_load_data_with_reducing_area.xlsx</strong></li> </ul> </li> <li>Normal and shear strain DVC data which has been averaged and plotted against specimen depth is presented in an Excel spreadsheet: <ul> <li><strong>Average_slice_vs_depth_data_all_samples_all_loads3.xlsx</strong></li> </ul> </li> <li>CT scan metadata giving information to the scan settings, voxel resolution, etc. is contained in a .zip file which consists of .xtekct and .XML files generated from the Nikon CT scanner. <ul> <li><strong>CT_Scan_Metadata.zip</strong></li> </ul> </li> <li>Drawings and Solidworks CAD files of the direct shear test rig are contained within the .zip file. There are a number of parts to the assembly. The file SSSB1003-5.SLDASM contains the complete assembly of the direct shear rig and will help identify the part names. The folder CAD_Drawings contains pdf documents of the part drawings. <ul> <li><strong>Direct_Shear_Drawings_Solidworks_Files.zip</strong></li> </ul> </li> <li>Tabulated DVC data taken at 32x32x32px subset size is contained inside a .zip file. These consist of tab separated .dat files from unloaded (data_1.dat) through incremental load steps Load A, Load B... Load G, (data_2.dat, data_3.dat... data_8.dat). The structure of the .dat file contains columns of data with each column number corresponding to the following: (1) x, (2) y (3) z, (4) vx, (5) vy, (6) vz, (7) exx, (8) eyy, (9) ezz, (10) exy, (11) exz, (12) eyz, (13) volumetric strain, (14) is valid. Columns 1-3 are subset positions in mm, 4-6 are displacements in mm, 7-9 are normal strains, 10-12 are shear strains, 13 is volumetric strain and 14 is a binary value indicating if the subset is valid. <ul> <li><strong>DVC_Load_Data_Willow_C.zip</strong></li> </ul> </li> <li>Tabulated DVC data applied to the load step CT data at 32, 48, 64, 96, 128 pixels is presented in the .zip files containing .dat tab separated files. The structure of the .dat files is described in the previous bullet point. These files were used to construct the noise study applied to incrementally loaded CT data by sampling regions away from the shear zone where the strain signals are close to zero. <ul> <li><strong>DVC_Noise_Study_Data_Load_Steps_Willow_C.zip</strong></li> </ul> </li> <li>Processed noise study data which compares the effects of DVC subset size is presented in the .xlsx file. This file contains both the controlled noise experiment data (stationary, magnification and rigid body motion) and noise study data applied to incrementally loaded data using sampled regions away from the shear zone where the strain signals are close to zero. <ul> <li><strong>Willow_C_Processed_Noise_study2.xlsx</strong></li> </ul> </li> <li>Tabulated data which compares the local x displacement vs depth profile from DVC and direct measurement of root position is contained in the following Excel spreadsheet file: <ul> <li><strong>X_Displacement_Root_and_DVC_Comparison_Willow C.xlsx</strong></li> </ul> </li> </ul>
Phenotypic modulation of biofilm formation in a Staphylococcus epidermidis orthopedic clinical isolate grown under different mechanical stimuli: contribution from a combined proteomic study
<p>One of the major causes of prosthetic joint failure is infection. Recently, coagulase negative <em>Staphylococcus epidermidis</em> has been identified as an emergent, nosocomial pathogen involved in subclinical prosthetic join infections (PJIs). The diagnosis of PJIs mediated by <em>S. epidermidis</em> is usually complex and difficulties due to the absence of acute clinical signs derived from the host immune system response. Therefore, analysis of protein patterns in biofilm-producing <em>S. epidermidis</em> allows for the examination of the molecular basis of biofilm formation. Thus, in the present study, the proteome of a clinical isolate <em>S. epidermidis</em> was analyzed when cultured in its planktonic or sessile form to examine protein expression changes depending on culture conditions. After 24 hours of culture, sessile bacteria exhibited increased gene expression for ribosomal activity and for expression of proteins related to the initial attachment phase, involved in the capsular polysaccharide/adhesin, surface associated proteins and peptidoglycan biosynthesis. Likewise, planktonic <em>S. epidermidis</em> was able to aggregate after 24 hours, synthesizing the accumulation associate protein and cell-wall molecules through the activation of the YycFG and ArlRS, two component regulatory pathways. Prolonged culture under vigorous agitation generated a stressful growing environment triggering aggregation in a biofilm-like matrix as a mechanism to survive harsh conditions.</p> <p>Further studies will be essential to support these findings in order to further delineate the complex mechanisms of biofilm formation of <em>S. epidermidis</em> and they could provide the groundwork for the development of new drugs against biofilm-related infections, as well as the identification of novel biomarkers of subclinical or chronic infections mediated by these emerging, low virulence pathogens.</p>
MOOSE Structural Mechanics FEM Demonstration
<p>Demonstration of <a href="https://www.mooseframework.org/">MOOSE</a> finite element workflow for a simple structural mechanics problem in Windows 10 using Windows Subsystem Linux (WSL). Targeted for Windows-based MOOSE users who wish to simply use existing functionality of MOOSE -- not focused on developing / contributing to MOOSE. Datafiles to replicate are provided.</p>
Data Accompanying "Fracturing process of concrete under uniaxial and triaxial compression: insights from in-situ x-ray mechanical tests"
<p>These are the datasets analysed in "Fracturing process of concrete under uniaxial and triaxial compression: insights from <em>in-situ</em> x-ray mechanical tests" by Stamati <em>et. al.</em> (submitted on June 2020 in Cement and Concrete Research)</p> <p>The datasets contain the reconstructed x-ray 3D images of selected tests and the corresponding DVC analysis.</p> <p>Note that details regarding the DVC analysis can be found in the paper.</p> <ul> <li>Each folder contains a separate test; uniaxial compression ("<em>C-02"</em>) and triaxial compression at 5MPa ("<em>TX5-01"</em>), 10MPa ("T<em>X10-01</em>") and 15MPa ("<em>TX15-01</em>") confining pressures.</li> <li>For each test, folder 01 contains the first scan, where 01 is the reference state for the DVC analyis. Folder 01 also contains the image of the labelled largest aggregates used for the discrete DVC. Folrders 02-XX contain the scans at intermediate loading steps and the corresponding DVC analysis; "<em>reg</em>" contains the registration result in downscaled 2-binning images. "<em>ddic</em>" contains the discrete DVC computation. "<em>ldic</em>" contains the local DVC computation, before and after the merge and filtering of the grid and discrete DVC fields. "<em>strains</em>" contains the strain fields coming from the corrected merged DVC field.</li> <li>Folder "<em>stressStrain</em>" contains the stress-strain curves measured during the tests after subtracting the displacement corresponding to the loading system.</li> <li>Folder "<em>doubleScanUniaxial</em>" contains the two reconstructed images of the "repeated scan" of the uniaxial tests, from which the DVC measurement uncertainties were evaluated.</li> </ul>
Extended Data: Structure-dependence of the atomic-scale mechanisms of Pt electrooxidation and dissolution
<p><strong>Abstract:</strong></p> <p>Platinum dissolution and restructuring due to surface oxidation are primary degradation mechanisms that limit the lifetime of Pt-based electrocatalysts for electrochemical energy conversion. Here, we studied well-defined Pt(100) and Pt(111) electrode surfaces by in situ high-energy surface X-ray diffraction, on-line inductively coupled plasma mass spectrometry, and density functional theory calculations, to elucidate the atomic-scale mechanisms of these processes. The locations of the extracted Pt atoms after Pt(100) oxidation reveal distinct differences from the Pt(111) case, which explains the different surface stability. The evolution of a specific stripe oxide structure on Pt(100) produces unstable surface atoms which are prone to dissolution and restructuring, leading to one order of magnitude higher dissolution rates.</p> <p><strong>Contents of this repository:</strong></p> <p><strong>1. SXRD data:</strong></p> <p>The experiments for the acquisition of the raw SXRD data were performed at the the European Synchrotron Radiation Facility, Grenoble, France at the beamlines ID31 and ID03. We thank H. Isern and T. Dufrane for the help during the SXRD experiments.</p> <ul> <li>tomo_tomo.spec is the file with the X-ray diffraction metadata for the CTR scans. It is a plain text file.</li> <li>Each HESXRD dataset is saved in a folder, which denotes the potential (e.g. 1V0.zip). The png-image files are previews of the corresponding dataset. The individual raw cbf files can be opened by pyMCA or silx. From python, the images can be accessed using the fabio library.</li> <li>calibration.zip contains the pyFAI calibration files and a list with indexed Bragg reflections for the UB matrix calculation</li> <li>CTRs_parameters.zip contains the averaged CTR structure factors used for the structual analysis as well as files with the atomic coordinates of the refined structural model.</li> <li>steps.zip contains the full datasets from the potential step experiments in Fig. 1e.</li> </ul> <p><strong>2. DFT:</strong></p> <ul> <li>CONTCARs.zip contains the atomic coordinates of the optimized computational models.</li> </ul> <p> </p> <p> </p>
Data from: The ovipositor actuation mechanism of a parasitic wasp and its functional implications
<p class="MsoNoSpacing">Parasitic wasps use specialized needle-like structures—ovipositors—to drill in substrates to reach hidden hosts. The external ovipositor (terebra) consists of three interconnected, sliding elements (valvulae) which are moved reciprocally during insertion. This presumably reduces the required pushing force on the terebra and limits the risk of damage whilst probing. Although this is an important mechanism, it is still not completely understood how the actuation of the valvulae is achieved, and it has only been studied with the ovipositor in rest position. Additionally, very little is known about the magnitude of the forces generated during probing. We used synchrotron X-ray microtomography to reconstruct the actuation mechanism of the parasitic wasp <i>Diachasmimorpha longicaudata</i> (Braconidae) in four distinct phases of the probing cycle. We show that only the paired first valvulae of the terebra move independently, while the second valvula moves with the metasoma ('abdomen'). The first valvula movements are initiated by rotation of one chitin plate (first valvifer) with respect to another such plate (second valvifer). This is achieved indirectly by muscles connecting the non-rotating second valvifer and the abdominal ninth tergite. Unlike previously reported, we found muscle fibres running inside the terebra, although their function remains unclear. The estimated maximal forces that can be exerted by the first valvulae are small (protraction 1.19 mN and retraction 0.874 mN), which reduces the risk of buckling but are sufficient for successful probing. The small net forces of the valvulae on the substrate may still lead to buckling of the terebra; we show that the sheaths surrounding the valvulae prevent this by effectively increasing the diameter and second moment of area of the terebra. Our findings improve the comprehension of hymenopteran probing mechanisms, the function of the associated muscles, and the forces and damage limiting mechanism that are involved in drilling a slender terebra into a substrate.</p>
Underlying data for "Global alignment and assessment of TRP channel transmembrane domain structures to explore functional mechanisms"
<p><strong>Output Files from Structural Alignment of TRP Channels</strong><br> The archive contains the key output files resulting from the structural alignment of members of the TRP channel family described in "Global alignment and assessment of TRP channel transmembrane domain structures to explore functional mechanisms", Huffer et al., (2020), eLife.</p> <p><strong>Contents of trp_struct_align_outputs.tar.gz</strong><br> <em>Aligned_structures</em><br> For each alignment where the transmembrane (TM) domain of the mobile structure was aligned to the TM domain of the stationary/reference structure (6co7):<br> 1) mobile_stationary_full_align.pdb: aligned based on Fr-TM-Align output matrix, contains all residues<br> 2) mobile_stationary_tmem_align.pdb: aligned based on Fr-TM-Align output matrix, contains only TM residues used for alignment<br> 3) mobile_stationary_hole.pdb: aligned based on Fr-TM-Align output matrix, contains HOLE profile of mobile structure</p> <p><em>Alignments</em><br> Multiple sequence alignments constructed using the TM domain of each structure as the stationary/reference structure, with all other structures aligned pairwise.<br> 1) stationary_full.ali: Full multiple sequence alignment containing all TM residues from all stationary and mobile structures.<br> 2) stationary_nogap.ali: Multiple sequence alignment containing all TM residues from the stationary structure. Any gaps in the stationary structure removed, which removes any residue in any mobile structure that does not align to the stationary/reference structure.</p> <p><em>Fr-TM-Align_outputs</em><br> - frtmalign_output.csv: contains all information from Fr-TM-Align output files for each pairwise alignment of TM domains, including PDB IDs of mobile and stationary structures, lengths of mobile and stationary structures, length of pairwise alignment sequence, RMSD of alignment, TM-score of alignment, and sequence identity of alignment.<br> - aligned_length.csv, RMSD.csv, sequence_identity.csv, and TM_score.csv: csv files containing the specified values for all pairwise alignments of TM domains, with the mobile structure in rows and stationary structure in columns</p> <p><strong>Reproducibility</strong><br> Code to reproduce this alignment and analysis is available on GitHub at: <a href="https://github.com/kehuffer/TRP_Structural_Alignment">https://github.com/kehuffer/TRP_Structural_Alignment</a></p>
Mechanical and hydraulic transport properties of transverse-isotropic Gneiss deformed under deep reservoir stress and pressure conditions.
<p>"This is the ReadMe file corresponding to the study entitled: "Mechanical and hydraulic transport properties of transverse-isotropic<br> Gneiss deformed under deep reservoir stress and pressure conditions" <br> <br> "By M. Acosta, & M. Violay." <br> <br> This study has been published in the International Journal of Rock Mechanics and Mining Sciences in June 2020. <br> https://doi.org/10.1016/j.ijrmms.2020.104235<br> <br> This Read-Me file has been last edited on 2020-06-31 <br> <br> This readme file describes the data repository and supplementary files accompanying the above publication. <br> For any further queries please contact mateo.acosta@epfl.ch <br> <br> The following files are included: <br> <br> --- Regarding Figure 3. <br> <br> "1) ""Acosta_et_al_2020_Figure3Data.xlsx"" " <br> This is the processed data from the experiments described in Figure1 of the article. <br> "In this .xlsx File, each sheet corresponds to one figure panel as follows: " <br> <br> Fig.3: One experiment example<br> Column A: Axial strain in (%) ; Column B: Effective axial stress (in MPa); Column C: Axial strain for AE's in (%) ; Column D: Acoustic emission hits (in #); Column D: Axial strain for porosity change in (%) ; Column E: Porosity change (in %);</p> <p>--- Regarding Figure 4. <br> <br> "1) ""Acosta_et_al_2020_Figure4Data.xlsx"" " <br> This is the processed data from the experiments described in Figure1 of the article. <br> "In this .xlsx File, each sheet corresponds to one figure panel as follows: " <br> <br> Fig.4a&g: Beta=0deg<br> Column A: Axial strain in (%) ; Column B: Effective axial stress (in MPa); Column C: Axial strain for AE's in (%) ; Column D: Acoustic emission hits (in #); Column D: Axial strain for porosity change in (%) ; Column E: Porosity change (in %);</p> <p>Fig.4b&h: Beta=30deg<br> Column A: Axial strain in (%) ; Column B: Effective axial stress (in MPa); Column C: Axial strain for AE's in (%) ; Column D: Acoustic emission hits (in #); Column D: Axial strain for porosity change in (%) ; Column E: Porosity change (in %);</p> <p>Fig.4c&i: Beta=45deg<br> Column A: Axial strain in (%) ; Column B: Effective axial stress (in MPa); Column C: Axial strain for AE's in (%) ; Column D: Acoustic emission hits (in #); Column D: Axial strain for porosity change in (%) ; Column E: Porosity change (in %);</p> <p>Fig.4d&j: Beta=60deg<br> Column A: Axial strain in (%) ; Column B: Effective axial stress (in MPa); Column C: Axial strain for AE's in (%) ; Column D: Acoustic emission hits (in #); Column D: Axial strain for porosity change in (%) ; Column E: Porosity change (in %);</p> <p>Fig.4e&k: Beta=90deg<br> Column A: Axial strain in (%) ; Column B: Effective axial stress (in MPa); Column C: Axial strain for AE's in (%) ; Column D: Acoustic emission hits (in #); Column D: Axial strain for porosity change in (%) ; Column E: Porosity change (in %);</p> <p>Fig.4f&l: LPG<br> Column A: Axial strain in (%) ; Column B: Effective axial stress (in MPa); Column C: Axial strain for AE's in (%) ; Column D: Acoustic emission hits (in #); Column D: Axial strain for porosity change in (%) ; Column E: Porosity change (in %);</p> <p>--- Regarding all other Figures, the tables provided in the article allow reproduction of these.</p> <p> </p>
Ultimate strength assessment of stiffened panel using non-linear mechanical behavior of an equivalent single layer: grillage FE model used for analysis
<p>This example shows how the ESL can be applied in the ultimate strength structural analysis in Abaqus finite element software. In other words, ESL methodology is applied only in some parts of the structure while larger structural supporting components like girders and webframes are still modeled explicitly. FIles include also the Full_3D_FEM model used for validating the ESL model.</p> <p>Dataset includes following files:</p> <p>1. ESL_nonlinear_grillage.inp - this is Abaqus input file for running the ESL nonlinear grillage model.</p> <p>2. ugensFINALv_master.for - this defines the nonlinear stiffness or ABD matrix. This is called by input file (ESL_nonlinear_grillage.inp ).</p> <p>3. Full_3D_FEM.inp - Full_3D_FEM model used for validating the ESL model.</p> <p> </p>
Figure 45 in Diverse mechanisms of feeding and movement in Cyclorrhaphan larvae (Diptera)
Figure 45. Tephritis vespertina, preserved larva, lateral view, head to the right, length 4 mm.
Figure 34 in Diverse mechanisms of feeding and movement in Cyclorrhaphan larvae (Diptera)
Figure 34. Meiosimyza platycephala, anterior end, dorsal view, still from Film 15.
Figure 29. Lonchaea hackmani, prothorax unfolding during a lunge, still from Film 13 in Diverse mechanisms of feeding and movement in Cyclorrhaphan larvae (Diptera)
Figure 29. Lonchaea hackmani, prothorax unfolding during a lunge, still from Film 13.
Figure 35 in Diverse mechanisms of feeding and movement in Cyclorrhaphan larvae (Diptera)
Figure 35. Clusia flava, preserved larva, lateral view, head to the right, length 8.7 mm.
Figure 47 in Diverse mechanisms of feeding and movement in Cyclorrhaphan larvae (Diptera)
Figure 47. Pegomya solennis, preserved larva, lateral view, head to the right, length 8.1 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.