Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
10,561
datasets available to search
ShareScore release 0.9.0
Dataset results
10,561 results for “mechanics”
Raw data files for the "The Mechanism of Rapid and Green Metal–Organic Framework Synthesis by In Situ Spectroscopy and Diffraction" manuscript
<p>All files are organized by figures in the main text of the original publication: https://doi.org/10.1021/acs.chemmater.4c00879, in the form of .csv files.</p>
Links between Gestures and Multisensory Processing: Individual Differences Suggest a Compensation Mechanism
<p>Dataset associated with the following publication:</p> <p>Schmalenbach, S.B., Billino, J., Kircher, T., van Kemenade, B.M.*, Straube, B*. (2017). Links between Gestures and Multisensory Processing: Individual Differences Suggest a Compensation Mechanism. <em>Frontiers in Psychology</em> 8:1828.</p>
Evolutionary mechanisms of varying chromosome numbers in the radiation of Erebia butterflies
<p>This is the dataset for the study with the same title published at MDPI Genes (please see the paper for all details).</p> <p>To test for a phylogenetic signal of varying chromosome numbers in Erebia butterflies (Lucek submitted), I reconstructed a phylogeny using a subset of Peña et al. Biol J Linn Soc 2016 for which chromosome numbers were available. Data for an additional 5 species was taken from GenBank. Chromosome numbers used are included.<br> The final alignment comprised sequence data for four genes: 620 bp of the mitochondrial cytochrome oxidase subunit I (COI), 598 bp of the nuclear glyceraldehyde-3-phosphate dehydrogenase (GAPDH), 565 bp of the nuclear ribosomal protein S5 (RpS5) and 343 bp of the nuclear wingless gene.</p> <p>I used PartitionFinder 2 (Lanfear et al. Mol Biol Evol 2017) to infer the best partition scheme and associated substitution model for each codon position and gene. The output of PartitionFinder is provided in the data file. The resulting best partitioning scheme for the Bayesian inference is given in each nexus file. For the maximum likelihood (ML) based phylogeny I used the GTR model with invariant sites and gamma correction (GTR+I+G) in RAXML 8.2.8 (Stamatakis, Bioinformatics 2014) with the corresponding partition scheme from PartitionFinder. I further used 1000 bootstrap replicates to assess significance. I ran RAXML for the dataset comprising either all four genes, the mitochondrial COI gene only or the three nuclear genes. In the latter case, data was only available for 35 taxa. I conducted the Bayesian analysis in MrBayes 3.2.2 (Ronquist et al. Syst Biol 2012) for either dataset using in each case, 5’000’000 generations with four chains – three heated and one cold. Trees were sampled every 1’000 generations.<br> Provided are the input and output files of MrBayes and RAXML for all genes combined (subfolder all), the mitochondrial COI gene only (subfolder mtdna) or the three nuclear genes (subfolder nuclear).</p>
Mechanisms behind the low-cloud optical depth response to temperature in ARM site observations - datasets and scripts
<p>Datasets used in the analysis of the article Mechanisms behind the low-cloud optical depth response to temperature in ARM site observations, which was submitted to and subsequently published in Journal of Geophysical Research-Atmosphere. DOI: 10.1029/2018JD029359</p>
Data: Computer modelling of connectivity change suggests epileptogenesis mechanisms in idiopathic generalised epilepsy
<p>We provide the generalised fractional anisotropy connectometry database used in our study titled: <em>Computer modelling of connectivity change suggests epileptogenesis mechanisms in idiopathic generalised epilepsy.</em></p>
Data for manuscript "Mechanisms and Impacts of a Partial AMOC Recovery Under Enhanced Freshwater Forcing"
<p><strong>Data repository for manuscript "Mechanisms and Impacts of a Partial AMOC Recovery Under Enhanced Freshwater Forcing"</strong></p> <p>Here we describe the data stored in this archive, which has been used for the manuscript "Mechanisms and Impacts of a Partial AMOC Recovery Under Enhanced Freshwater Forcing", submitted to Geophysical Research Letters. This data archive includes two primary folders, one containing the CESM data and one containing the 2D model data. Within each of those folders are appropriately titled subfolders for the different model simulations and variables, in accordance with the descriptions provided in the manuscript. The following provides a description of the data within each folder: </p> <p><br> ----------------------------------------<br> ------------- CESM DATA --------------<br> ----------------------------------------<br> The CESM data folder has been split into four subfolders, one for each simulation: Control simulation (CESM_controlrun), 0.1 Sv freshwater flux simulation (CESM_0pt1Sv_FWFrun), the longer repeat of the 0.1 Sv freshwater flux simulation (CESM_0pt1Sv_FWFrun_repeat), and the 0.15 Sv freshwater flux simulation (CESM_0pt15Sv_FWFrun). Within each of these can be found folders for each of the 6 variables we have used: 4D temperature fields (TEMP), 4D salinity fields (SALT), 4D potential density fields (PD), 3D MOC fields (MOC), 3D mixed layer depth fields (HMXL), and 2D meridional heat transport fields (N_HEAT). Each CESM data file (one per monthly time step) is saved in netcdf format (.nc4), containing all appropriate dimensional data and descriptive meta data. Note that only the data used in the manuscript has been stored (e.g. only MOC data is provided for the CESM_0pt15Sv_FWFrun, while all fields have been provided for the CESM_0pt1Sv_FWFrun). </p> <p>----------------------------------------<br> ------------ 2D MODEL DATA -----------<br> ----------------------------------------<br> As described in the manuscript, the 2D model has been run using various choices of input parameter and freshwater flux. For each selection of parameter choice a new control run is first required, from which a set of experiments is then initiated. The 2D model data folder therefore contains 2 main subfolders, one containing the control run data for each of set of parameter choices (control_runs),and one containing the freshwater perturbation experiments for each set of parameter choices (fwp_change_exps). Within those, each control and experiment folder is titled according to the choices of vertical viscosity (kvd), Southern Ocean wind stress perturbation (txp), and the freshwater perturbation (fwp); when absent from the title, the default value for that variable is used (i.e. kvd=1e4 m2/s; txp=0.2 N/m2). The naming convention for the Southern Ocean wind stress is minpt07 for 0.13 N/m2 (i.e. minus 0.07) and pt07 for 0.27 N/m2. </p> <p>Model output data has been provided in ascii format for: the 2D Eulerian AMOC fields (MOC_EUL.dat.dat), 2D Quasi-Lagrangian fields (MOC_QLag.dat), 2D Salinity fields (salt2D.dat), 2D temperature fields (temp2d.dat), 2D density fields (rho.dat), the latitude values (ytdeg.dat; ydeg.dat) and depth values (zt.dat, zw.dat), and the timeseries values for a number of variables (timeseries.dat): The timeseries.dat data has 19 columns, of which the first 13 are useful: </p> <p> column: description:<br> 1 time (year)<br> 2 mean basin temperature (deg.C)<br> 3 mean basin salinity (psu)<br> 4 mean basin density (kg/m3) <br> 5 kinetic energy (KE) density<br> 6 potential energy (PE)<br> 7 mean surface heat flux<br> 8 mean surface salinity flux<br> 9 minimum meridional overturning streamfunction (Sv)<br> 10 maximum meridional overturning streamfunction (Sv)<br> 11 minimum advective poleward heat transport (PW)<br> 12 maximum advective poleward heat transport (PW)<br> 13 MOC (Sv) = max(psi) in the north Atlantic</p> <p>The final subfolder in the 2D model directory is titled 'additional_data': The first folder contains the snapshot data (fwp025_snapshots; one subfolder for each snapshot) for the experiment run with 25 cm/s freshwater flux as shown in Fig. S6, in which the data is stored in the same format as described above. The second folder contains the tendency terms as shown in Fig. S7 (fwp025_tendency; one subfolder per tendency term for each of the control and 25 cm/s freshwater flux experiment), in which the data is provided in ascii format for the 2D tendency term and the depth and latitude values. </p>
Unveiling the Mechanisms of Solid-State Dewetting in Solid Oxide Cells with Novel 2D Electrodes
<p>Supporting videos as a part of the Supplementary Material of the paper published by the Journal of Power Sources, Volume 420, 30 April 2019, Pages 124-133 doi: 10.1016/j.jpowsour.2019.02.068</p>
Asteroseismology of the nearby SN II Progenitor Rigel. II. epsilon-mechanism Triggering Gravity-mode Pulsations?
<p>MESA inlist associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2012ApJ...749...74M">Moravveji et al. (2012)</a>. MESA version 3723.</p> <p>Publication DOI: <a href="https://doi.org/10.1088/0004-637X/749/1/74">10.1088/0004-637X/749/1/74</a></p>
Model output: Unraveling the mechanisms that cause cyclic channel-shoal dynamics of ebb-tidal deltas: a numerical modeling study
<p>Output from model runs for Lenstra et al., “Unraveling the mechanisms that cause cyclic channel-shoal dynamics of ebb-tidal deltas: a modeling study”. The dataset contains two types of model output, namely (1) the default model runs and (2) the sensitity runs with waves+tides, waves only, and tides only.</p> <p>The files covering the default model runs contain:</p> <p>ModeledDays - time vector for the depth series [days]</p> <p>XT - east-west location of grid points high resolution domains [m]</p> <p>YT - north-south location of grid points high resolution domains [m]</p> <p>depth - depth series for the high resolution domains [m]</p> <p>XSea - east-west location of grid points outer sea domain [m]</p> <p>YSea - north-south location of grid points outer sea domain [m]</p> <p>depthSea - depth series for the outer sea domain [m]</p> <p>XBasin - east-west location of grid points basin domain [m]</p> <p>YBasin - north-south location of grid points basin domain [m]</p> <p>depthBasin - depth series for the basin domain [m]</p> <p>ST_Days - time vector for the sediment transport series [days]</p> <p>ST_Inlet - tidally-averaged total sediment transport through the inlet (positive seaward) [10<sup>6</sup> m<sup>3</sup>/year]</p> <p>ST_Up - tidally-averaged total sediment transport through the cross-section at the updrift coast (positive eastward) [10<sup>6</sup> m<sup>3</sup>/year]</p> <p>ST_Down - tidally-averaged total sediment transport through the cross-section at the downdrif coast (positive eastward) [10<sup>6</sup> m<sup>3</sup>/year]</p> <p>The files covering the sensitivity runs contain for the high resolution domains:</p> <p>XT - east-west location of grid points [m]</p> <p>YT - north-south location of grid points [m]</p> <p>TA_STX - east-west component of the tidally-averaged total sediment transport [m<sup>3</sup>/s/m]</p> <p>TA_STY - north-south component of the tidally-averaged total sediment transport [m<sup>3</sup>/s/m]</p> <p>TA_U - east-west component of the tidally-averaged flow velocities [m/s]</p> <p>TA_V - north-south component of the tidally-averagedf low velocities [m/s]</p> <p>M2 - amplitude of the semi-diurnal tidal flow velocities (not for wave only runs) [m/s] </p>
Effects of roughness Reynolds number on scalar transfer mechanisms at the sediment-water interface
<p>The data are used in the paper "Effects of roughness Reynolds number on scalar transfer mechanisms at the sediment-water interface" which was submitted to the journal-Water Resources Research. The paper used particles with different sizes, experimental bed is reproduced and the scalar transfer from water to sediment is modelled. We found that The transfer factor changes to turbulent diffusion at the sediment-water interface as the roughness Reynolds number increases. And the turbulent Schmidt number is higher near the SWI and decrease to 0.5 at the SWI, ranging from 0.5 to 1 within the water depth.</p>
Dataset for "Co-Localization of Microstructural Damage and Excessive Mechanical Strain at Aortic Branches in Angiotensin-II Infused Mice"
<p>This dataset contains geometries and simulation files for the manuscript "Co-Localization of Microstructural Damage and Excessive Mechanical Strain at Aortic Branches in Angiotensin-II Infused Mice", to be published in the journal "Biomechanics and Modeling in Mechanobiology".</p> <p>For each animal described in the study, the following data are uploaded:</p> <p>[mouse name]_Strain.vtp contains the Eulerian strain estimation for each abdominal aorta mapped back on the ex vivo undeformed configuration.</p> <p>[mouse name]_Scan.vtp is the abdominal aorta in the ex vivo undeformed configuration, as scanned using PCXTM imaging.</p> <p>[mouse name]_Exitron.vtp is the distribution of contrast agent infiltration along the aorta (can be superimposed to the corresponding ‘scan.vtp’ file), which serves a surrogate for vascular damage.</p> <p>The aortic partitioning described in the paper’s method section was performed on all of the above .vtp files for every animal. .vtp files can be visualized in the open-source Paraview or similar software, and used for centerline calculations using the open-source vmtk software.</p>
6th International Conference "Fracture Mechanics of Materials and Structural Integrity" (June 3–6, 2019, Lviv, Ukraine)
<p><strong>12.06.2019</strong></p> <p>03–06 червня 2019 року у м. Львові відбулася 6-та Міжнародна конференція з механіки руйнування матеріалів і цілісності конструкцій (“Fracture Mechanics of Materials and Structural Integrity”, FMSI 2019). Співорганізаторами конференції виступили Європейське товариство з цілісності конструкцій (European Structural Integrity Society, ESIS), Українське товариство з механіки руйнування матеріалів, Фізико-механічний інститут імені Г.В. Карпенка НАН України та Національний університет “Львівська політехніка”.</p> <p><em>Матеріали прес-служби НАН України</em></p>
Impact of chronic and massive resuspension mechanisms on the microphytobenthos dynamics in a temperate intertidal mudflat
<p><em>In situ</em> data along with input/output files and code of the model used in the manuscript by Savelli et al. submitted to Journal of Geophysical Research: Biogeosciences</p> <p>Savelli, R., Bertin, X., Orvain, F., Gernez, P., Dalle, A., Coulombier, T., Pineau, P., Lachaussée, N., Polsenaere, P., Dupuy, D., Le Fouest, V., submitted. Impact of chronic and massive resuspension mechanisms on the microphytobenthos dynamics in a temperate intertidal mudflat. <em>Journal of Geophysical Research: Biogeosciences</em></p> <p>See the readme.txt file for explicit details on the repository.</p>
T2* and quantitative susceptibility mapping in an equine model of post-traumatic osteoarthritis: prediction of mechanical and structural properties
<p>Dataset for the manuscript titled "T2* and quantitative susceptibility mapping in an equine model of post-traumatic osteoarthritis: assessment of mechanical and structural properties"</p>
Biological and mechanical complications of angulated abutments connected to fixed dental prostheses. A systematic review with meta-analysis
<p>Dataset for all analyses in the study</p>
Supervised Molecular Dynamics Movies from: Deciphering the molecular recognition mechanism of multidrug resistance Staphylococcus aureus NorA efflux pump using a Supervised Molecular Dynamics approach
<p>Molecular Recognition pathway of Supervised molecular dynamic simulations of MdfA-CLM NorA-CPX and NorA-CPX.</p>
Genomic dissection of 43 serum urate-associated loci provides multiple insights into molecular mechanisms of urate control
<p>Summary statistics for trans-ancestral analysis presented in "Genomic dissection of 43 serum urate-associated loci provides multiple insights into molecular mechanisms of urate control" by Boocock et al.</p> <p>Columns in order with descriptions are:</p> <p>SNP(rsid) CHROM POS(genome position) REF(reference allele) ALT(alternative allele) Z_EUR(zscore european) Z_EAS(zscore east asian) P_META(p-value from trans-ancestral meta-analysis) </p>
Deciphering the molecular recognition mechanism of multidrug resistance Staphylococcus aureus NorA efflux pump using a Supervised Molecular Dynamics approach.
<p><strong>Legend of Movie-S1</strong></p> <p>The Movie is composed by four synchronized and animated panels that show different aspects of the SuMD simulation. The time evolution is reported in nanosecond. In the first panel (upper left), the molecular representation of the system is shown. The MdfA backbone is represented by the new cartoon style (cyan). The CLM is shown in yellow and by a transparent surface. The protein residues within 3 Å from the ligand are made explicit by a stick representation.</p> <p>In the second panel (upper-right), the CM-distance between the protein and the ligand centers of mass is reported.</p> <p>In the third panel (lower left), the MMGBSA energy profile is reported.</p> <p>In the fourth panel (lower-right) cumulative electrostatic interactions are reported for the 15 MdfA residues most contacted by CLM during the whole simulation.</p> <p> </p> <p><strong>Legend of Video-S2</strong></p> <p>The Movie shows the SuMD trajectory of CLM on MdfA compared to the CLM crystallographic pose. MdfA is represented in cyan new cartoon transparency. The crystallographic pose is showed in yellow while the experimental one in light green. At 16.69 ns a RMSD value of 1.77 Å is highlighted.</p> <p> </p> <p><strong>Legend of Video-S3</strong></p> <p>The Movie is composed by four synchronized and animated panels that show different aspects of the SuMD simulation. The time evolution is reported in nanosecond. In the first panel (upper left), the system is shown. The NorA backbone is represented by the new cartoon style (red) and the protein residues within 3 Å of CPX are showed in stick. CPX is rendered by a green stick.</p> <p>In the second panel (upper-right), the distance between the centre of mass of the ligand and the protein during the trajectory is reported.</p> <p>In the third panel (lower left), the MMGBSA energy profile is reported. In the fourth panel (lower-right) cumulative electrostatic interactions are reported for the 15 NorA residues most contacted by CPX during the whole SuMD trajectory.</p> <p>It is important to note that the following video has a duration that is half of the simulation of SuMD. However, this straid does not alter the description of the trajectory performed by the ligand.</p> <p> </p> <p><strong>Legend of Video-S4</strong></p> <p>The Movie depicts the clustering analysis of CPX during the whole SuMD simulation. The NorA protein is shown in red new cartoon transparency. CPX is rendered by a light-green stick and by a transparent surface. The spheres are shown in 7 different colours, according to the different clusters. Each sphere dimension is in according to the cluster dimensions. After a first recognition site, the ligand conformations are clustered in different sites of the NorA channel. It is important to note that the following video has a duration that is half of the simulation of SuMD. However, this straid does not alter the description of the trajectory performed by the ligand.</p>
Cortical mechanisms of smooth eye movements revealed by dynamic covariations of neural and behavioral responses
<p>Neural activity in the frontal eye fields controls smooth pursuit eye movements, but the relationship between single neuron responses, cortical population responses, and eye movements is not well understood. We describe an approach to dynamically link trial-to-trial fluctuations in neural responses to parallel variations in pursuit and demonstrate that individual neurons predict eye velocity fluctuations at particular moments during the course of behavior, while the population of neurons collectively tiles the entire duration of the movement. The analysis also reveals the strength of correlations in the eye movement predictions derived from pairs of simultaneously recorded neurons and suggests a simple model of cortical processing. These findings constrain the primate cortical code for movement, suggesting that either a few neurons are sufficient to drive pursuit at any given time or that many neurons operate collectively at each moment with remarkably little variation added to motor command signals downstream from the cortex.</p>
Development of a Self-Healing and Rejuvenating Mechanisms for Asphalt Mixtures Containing Recycled Asphalt Shingle
<p>Corresponding data set for Tran-SET Project No. 17BLSU06. Abstract of the final report is stated below for reference:</p> <p>"The objective of this study was to test the hypothesis that hollow-fibers encapsulating a rejuvenator product could improve both self-healing, rejuvenation, and mechanical properties of asphalt mixtures. Hollow-fibers containing a rejuvenating product were synthesized via a wet spinning procedure with sodium-alginate polymer as the encapsulating material. An optimization of the production parameters for the synthesis of fibers was performed to develop fibers suitable for high-temperature and shear stress environment typical of asphalt mixture production. A self-healing experiment was conducted to evaluate the healing/rejuvenation capabilities of sodium-alginate fibers in asphalt mixtures with varying types of binders and recycled materials. Based on the self-healing experiment, a 5% fiber content was determined to be the optimum fiber content to enhance the self-healing ability of asphalt mixtures. In addition, the effect of different fiber contents on binder blends and asphalt mixtures was evaluated by performing the Multiple Stress Creep Recovery (MSCR) and Semi-Circular Bending (SCB) tests. Results of the self-healing experiment showed that the enhancement in the healing recovery depends on the breakage of the fibers. When the fibers break, the rejuvenator is released resulting in softening of the binder. In contrast, when the fibers do not break, they act as a reinforcement for the mix. Loaded Wheel Tester (LWT) test results showed a performance improvement against permanent deformation for asphalt mixtures containing recycled materials with sodium-alginate fibers compared to conventional asphalt mixtures. Furthermore, SCB test results showed that the addition of sodium-alginate fibers enhanced the fracture properties of asphalt mixtures with Recycled Asphalt Shingle (RAS) at intermediate temperatures. Moreover, the addition of fibers in mixtures with recycled materials resulted in an improved performance against low-temperature cracking as the mixtures resisted higher stresses before failure."</p>
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.