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”
Supplementary data for Atomistic Mechanism of the Nucleation of Methylammonium Lead Iodide Perovskite from Solution
<p>Supplementary data for "Atomistic Mechanism of the Nucleation of Methylammonium Lead Iodide Perovskite from Solution"</p>
The Extreme Mechanics of Viscoelastic Metamaterials
<p>This dataset contains all data as used for the paper 'The Extreme Mechanics of Viscoelastic Metamaterials'. It provides example files on viscoelastic modelling in Abaqus and on deriving viscoelastic material properties,</p> <p> </p> <p><strong>Abstract:</strong></p> <p>Mechanical metamaterials made of flexible building blocks can exhibit a plethora of extreme mechanical responses, such as negative elastic constants, shape-changes, programmability and memory. To date, dissipation has largely remained overlooked for such flexible metamaterials. As a matter of fact, extensive care has often been devoted in the constitutive materials’ choice to avoid strong dissipative effects. However, in an increasing number of scenarios, where metamaterials are loaded dynamically, dissipation can not be ignored. In this review, we show that the interplay between mechanical instabilities and viscoelasticity can be crucial and can be harnessed to obtain new functionalities. We first show that this interplay is key to understanding the dynamical behaviour of flexible dissipative metamaterials that use buckling and snapping as functional mechanisms. We further discuss the new opportunities that spatial patterning of viscoelastic properties offer for the design of mechanical metamaterials with properties that depend on loading rate.</p>
Structure and Mechanism of a Cold-Adapted Bacterial Lipase
<p>Input files and structures used to obtain computational results published in:</p> <p><a href="https://doi.org/10.1021/acs.biochem.2c00087?urlappend=%3Fref%3DPDF&jav=AM&rel=cite-as">Structure and Mechanism of a Cold-Adapted Bacterial Lipase</a><br> DOI: 10.1021/acs.biochem.2c00087</p> <p>See included README file and publication for more details.</p> <p>Funding<br> This work was supported by the Swedish Research Council<br> (VR), the Knut and Alice Wallenberg Foundation, and the<br> Research Council of Norway through a Centre of Excellence<br> and project grant (Grant Nos. 262695 and 274858).<br> Computational resources were provided by the Swedish<br> National Infrastructure for Computing (SNIC)</p>
Investigation of New Particle Formation mechanisms and aerosol processes at the Marambio Station, Antarctic Peninsula
<p>This dataset belongs to : <strong>Investigation of New Particle Formation mechanisms and aerosol processes at the Marambio Station, Antarctic Peninsula</strong></p> <p><em>Quéléver, L. L. J., Dada, L., Asmi, E., Lampilahti, J., Chan, T., Ferrara, J. E., Copes, G. E., Pérez-Fogwill, G., Barreira, L., Aurela, M., Worsnop, D. R., Jokinen, T., and Sipila, M.: Investigation of New Particle Formation mechanisms and aerosol processes at the Marambio Station, Antarctic Peninsula, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-1063, in review, 2022</em></p> <p> </p> <p>The Mass spectrometry and particle data were the result of a measurement campaign performed at the Marambio Station, Antarctica during the austral summer 2018 </p> <p>The data set includes:</p> <p>- Time series for sulfuric acid, methane sulfonic acid and iodic acid concentration </p> <p>- Mass defect data for a new particle formation case study on 16-02-2018</p> <p>- Time series for nucleation rates </p> <p>- Time series for formation rates </p> <p>Please refer to the individual *README.txt files and the corresponding publication.</p> <p>For further information please contact the corresponding author: Lauriane L.J. Quéléver: Lauriane.quelever@helsinki.fi</p>
Isomorph Invariant Dynamic Mechanical Analysis: A Molecular Dynamics Study
<p>This data set contains the data required to reproduce most of the figures in our paper, [arXiv:2204.06962] which will soon be submitted to a journal. Abstract of the paper:</p> <p>We simulate dynamic mechanical analysis experiments for the Kob-Andersen binary Lennard-Jones system. For this, the SLLOD algorithm with time-dependent strain rates is applied to give a sinusoidally varying strain at different densities and temperatures. The starting point is a temperature scan at a fixed reference density. Isomorph theory predicts that for other densities corresponding temperatures can be identified at which the mechanical properties are unchanged when scaled appropriately. We determine the isomorphically equivalent temperatures by analysing how<br> particle forces change upon scaling configurations to the new density. Loss moduli expressed in suitable reduced units are compared for isomorphic state points. When plotted against the unscaled temperatures, these reduced loss curves are observed to collapse indicating the validity of isomorph theory for dynamic mechanical analysis experiments. Two different methods to determine isomorphic temperatures are considered. While one of them breaks down for the largest density rescalings considered in this study, the other one is still applicable in this region. The decorrelation of force vectors upon rescaling is investigated as a possible origin of this effect. Our results demonstrate that the simplification of the phase diagram entailed by isomorph theory for a wide class of system<br> is relevant also for the mechanical properties of glasses.</p> <p> </p> <p> </p>
Mechanical behavior of textile reinforced alkali-activated mortar based on fly ash, metakaolin and ladle furnace slag
<p>Data corresponding to all figures and tables presented in the publication</p>
Manufacturing of Hybrid Overmoulded FRP Components: Impact of Process and Environmental Parameters on the Mechanical Properties
<p>A manufacturing parametric study was carried out on a hybrid part, consisting of two organo sheets and injection moulded rib reinforcements, made out of a short fibre reinforced plastic. The effect of the temperature of all components, the pressure profile throughout the injection moulding process as well as the subsequent storage conditions on the mechanical properties was investigated. For this purpose a total of 96 parts was manufactured with different processing parameter combinations. Afterwards all parts were subjected to a cantilever beam test, analysing initial stiffness, deformation work and peak force. Furthermore a variety of potentially influencing factors such as temperature, humidity, order of testing, transfer durations and many more were tracked.</p> <p>Parameter definition:</p> <ul> <li><strong>part_ID</strong>: Unique part identifier.</li> <li><strong>OS-degradation</strong>: Degradation of the organo-sheet(OS) because of thermal decomposition at temperatures above 260°C. Given as percentage of degraded mass.</li> <li><strong>heating-duration</strong>: Time of heating the OS in seconds.</li> <li><strong>heating_temperature-OS</strong>: Surface temperature of the OS at the end of the heating period in °C.</li> <li><strong>heating_field-temp.</strong>: Temperature of the heating field immediately before the heating process begins in °C.</li> <li><strong>stiffness</strong>: Bending stiffness of the structure in N/mm. Determined from the force-deflection-curve between 50 and 150 N.</li> <li><strong>maximum_force</strong>: Highest force value measured during the cantilever beam test in kN.</li> <li><strong>deflection</strong>: Value corresponding to the maximum force in mm.</li> <li><strong>deformation_work</strong>: Absorbed work due to deformation in kN*mm. Determined by integrating the force-deflection-curve from 5 to 30 mm with a lower bound of 0.05 kN on the force.</li> <li><strong>corrected-x</strong>: Value of x corrected by taking into account the water intake.</li> <li><strong>rib_lengths-x</strong>: Length of the rib in mm (1à5<sup>th</sup>, 2à7<sup>th</sup> , 3à10<sup>th</sup>).</li> <li><strong>sprue_width</strong>: Diameter of the sprue in mm.</li> <li><strong>part_length</strong>: Total part length in mm.</li> <li><strong>mould_filled-x</strong>: Flag indicating whether the mould was filled (indicated by 1) at position x (1àbroad end, 2àmid, 3ànarrow end)</li> <li><strong>rib_length</strong>: Mean of the measured rib lengths in mm.</li> <li><strong>mould_filled</strong>: Mean of the flags for fill state.</li> <li><strong>day_of_testing</strong>: Day on which the part was tested (1,2,3).</li> <li><strong>no._of_test_per_day</strong>: Number of test on the respective day.</li> <li><strong>no._of_test_total</strong>: Number of tests in total.</li> <li><strong>delay_of_transfer</strong>: Duration between removal of the OS from the heating field and begin of the transfer in s.</li> <li><strong>transfer_temp_beg.-x</strong>: Surface temperature in °C of the OS at the beginning of the transfer at position x.</li> <li><strong>transfer_temp_end-x</strong>: Surface temperature in °C of the OS at the end of the transfer at position x.</li> <li><strong>tool_surface_temp.-x</strong>: Surface temperature in °C of the tool at position x.</li> <li><strong>fixing-x</strong>: Flag indicating whether the OS was fixed (indicated by 1) at position x (1àbroad end, 2àmid, 3ànarrow end).</li> <li><strong>fixing</strong>: Mean of the flags for fixing.</li> <li><strong>duration-rapid_traverse</strong>: Duration of the rapid motion phase of the press in s.</li> <li><strong>duration-deformation</strong>: Duration of the motion phase of the press deforming the OS in s.</li> <li><strong>press_profile</strong>: ID for translational velocity of the press (0àslow, 1àfast).</li> <li><strong>duration-closing</strong>: Sum of duration-rapid_traverse and duration-deformation.</li> <li><strong>duration-injection</strong>: Duration of the pure injection process in s.</li> <li><strong>duration-holding_pressure</strong>: Time for which the holding pressure was kept up in s.</li> <li><strong>temp.-cylinder-x</strong>: Mean of the temperature over one cycle at one heating band in °C.</li> <li><strong>temp-hot_runner-x</strong>: Mean of the temperature over one cycle at one heating element in the hot runner in °C.</li> <li><strong>temp.-defl._tool-x</strong>: Mean of the temperature over one cycle in the deflection tool at position x.</li> <li><strong>delay-injection</strong>: Time between the press fully closing and the beginning of injection in s.</li> <li><strong>holding_pressure-beg.-x</strong>: Holding pressure at the beginning of holding and position x in bar.</li> <li><strong>holding_pressure-end-x</strong>: Holding pressure at the ned of holding and position x in bar.</li> <li><strong>duration-form_stability-x</strong>: Time in s between maximum melt pressure and form stability, characterised by a pressure below 75 bar.</li> <li><strong>max.-pressure-melt-x</strong>: Maximum pressure during the injection process at position x in bar.</li> <li><strong>transmission-hold._press.-beg.</strong>: Ratio of pressure signal from the sensor at screw and in tool at beginning of holding.</li> <li><strong>transmission-hold._press.-end</strong>: Ratio of pressure signal from the sensor at screw and in tool at end of holding.</li> <li><strong>cooling_rate-hold._press.-x</strong>: Measured cooling rate at position x during the holding phase in °C/s.</li> <li><strong>cooling_rate-cooling-x</strong>: Measured cooling rate at position x during the cooling phase in °C/s.</li> <li><strong>tool-temp.-x</strong>: Measured tool temperature at position x in °C.</li> <li><strong>max.-melt-temp-x</strong>: Highest measured melt temperature at position x in °C.</li> <li><strong>demoulding-temp.-x</strong>: Measured tool temperature at position x at demoulding in °C.</li> <li><strong>storage-standard_atmosphere</strong>: Storage duration at standard atmosphere in h.</li> <li><strong>absoprtion_water-std.atm.</strong>: Water absorption during the storage at standard atmosphere in g.</li> <li><strong>absoprtion_water-climate_chamber.</strong>: Water absorption during the storage in the climate chamber in g.</li> <li><strong>storage-climate_chamber</strong>: Storage duration in climate chamber in h.</li> <li><strong>vert._position-climate_chamber</strong>: Vertical position in the climate chamber in cm.</li> <li><strong>air-temp.</strong>: Air temperature during manufacturing in °C.</li> <li><strong>air-rel._humidity</strong>: Relative humidity during manufacturing in %.</li> <li><strong>no.-production-day</strong>: Consecutive number indicating parts manufactured before the respective part.</li> <li><strong>factor_level</strong>: Factor level in the DOE.</li> <li><strong>prod.-date</strong>: Date of production.</li> <li><strong>prod-time</strong>: Time of production in CEST.</li> <li><strong>batch_number</strong>: ID in which batch the part was manufactured.</li> </ul>
Intrinsic excitability mechanisms of neuronal ensemble formation
<p>Neuronal ensembles are coactive groups of cortical neurons, found in spontaneous and evoked activity, that can mediate perception and behavior. To understand the mechanisms that lead to the formation of ensembles, we co-activated optogenetically and electrically layer 2/3 pyramidal neurons in brain slices from mouse visual cortex, in animals from both sexes, replicating in vitro an optogenetic protocol to generate ensembles in vivo. Using whole-cell and perforated patch-clamp pair recordings we find that, after optogenetic or electrical stimulation, coactivated neurons increase their correlation in spontaneous activity, a hallmark of ensemble formation. Coactivated neurons showed small biphasic changes in presynaptic plasticity, with an initial depression followed by a potentiation after a recovery period. Unexpectedly, optogenetic and electrical stimulation-induced significant increases in frequency and amplitude of spontaneous EPSPs, even after single-cell stimulation. In addition, we observed strong and persistent increases in neuronal excitability after stimulation, with increases in membrane resistance and reduction in spike threshold. A pharmacological agent that blocks changes in membrane resistance can revert this effect. These significant increases in excitability may partly explain the observed biphasic synaptic plasticity. We propose that cell-intrinsic changes in excitability are involved in the formation of neuronal ensembles. We propose an "iceberg" model, by which increased neuronal excitability makes subthreshold connections suprathreshold, enhancing the effect of already existing synapses, and generating a new neuronal ensemble.</p>
Cumulative cultural evolution and mechanisms for cultural selection in wild bird songs
<p>Cumulative cultural evolution, the accumulation of sequential changes within a single socially learned behaviour that results in improved function, is prominent in humans and has been documented in experimental studies of captive animals and managed wild populations. Here, we provide evidence that cumulative cultural evolution has occurred in the learned songs of Savannah sparrows. In a first step, "click trains" replaced "high note clusters" over a period of three decades. We use mathematical modeling to show that this replacement is consistent with the action of selection, rather than drift or frequency-dependent learning biases. Generations later, young birds elaborated the "click train" song form by adding more clicks. We show that the new songs with more clicks elicit stronger behavioural responses from both males and females. Therefore, we suggest that a combination of social learning, innovation, and sexual selection favoring a specific discrete trait was followed by directional sexual selection that resulted in naturally occurring cumulative cultural evolution in the songs of this wild animal population.</p>
Broad-scale patterns of geographic avoidance between species emerge in the absence of fine-scale mechanisms of coexistence
<p>Aim: The need to forecast range shifts under future climate change has motivated an increasing interest in better understanding the role of biotic interactions in driving diversity patterns. The contribution of biotic interactions to shaping broad-scale species distributions is however, still debated, partly due to the difficulty of detecting their effects. We aim to test whether spatial exclusion between potentially competing species can be detected at the species range scale, and whether this pattern relates to fine-scale mechanisms of coexistence.</p> <p>Location: Western Palearctic</p> <p>Time period: Anthropocene</p> <p>Taxa: bats (Chiroptera)</p> <p>Methods: We develop and evaluate a measure of geographic avoidance that uses outputs of species distribution models to quantify geographic exclusion patterns expected if interspecific competition affects broad-scale distributions. We apply the measure to 10 Palearctic bat species belonging to four morphologically similar cryptic groups in which competition is likely to occur. We compare outputs to null models based on pairs of virtual species and to expectations based on ecological similarity and fine-scale coexistence mechanisms. We project changes in range suitability under climate change taking into account effects of geographic avoidance.</p> <p>Results: Values of geographic avoidance were above null expectations for two cryptic species pairs, suggesting that interspecific competition could have contributed to shaping their broad-scale distributions. These two pairs showed highest levels of ecological similarity and no trophic or habitat partitioning. Considering the role of competition modified predictions of future range suitability.</p> <p>Conclusions: Our results support the role of interspecific competition in limiting the geographic ranges of morphologically similar species in the absence of fine-scale mechanisms of coexistence. This study highlights the importance of incorporating biotic interactions into predictive models of range shifts under climate change, and the need for further integration of community ecology with species distribution models to understand the role of competition in ecology and biogeography.</p>
Full dataset of several mechanical tests on an S355 steel sheet as reference data for digital representations
<p>The dataset provided in this repository comprises data obtained from a series of characterization tests performed to a sheet of typical S355 (material number: 1.0577) structural steel (designation of steel according to DIN EN 10025-2:2019). The tests include methods for the determination of mechanical properties such as, e.g., tensile test, Charpy test and sonic resonance test. This dataset is intended to be extended by the inclusion of data obtained from further test methods. Therefore, the entire dataset (concept DOI) comprises several parts (versions), each of which is addressed by a unique version DOI.</p> <p>The data were generated in the frame of the digitization project Innovationplatform Material<em>Digital </em>(PMD) which, amongst other activities, aims to store data in a semantically and machine understandable way. Therefore, data structuring and data formats are focused in addition to aspects in the field of material science and engineering (MSE). Hence, this data is supposed to provide reference data as basis for experimental data inclusion, conversion and structuring (data management and processing) that leads to semantical expressivity as well as for MSE experts being generally interested in the material properties and knowledge.</p>
Strand-switching mechanism of Pif1 helicase induced by its collision with a G-quadruplex embedded in dsDNA_data_NAR
<p>This document includes data corresponding to the paper entitled :"Strand-switching mechanism of Pif1 helicase induced by its collision with a G-quadruplex embedded in dsDNA" published in Nucleic Acid Research, 2022. The link to the zenodo depository of the homemade software to open the data is given in the readme.txt file as well as the way the data files are organized</p>
Imaging data of mechanically loaded, micro-patterned, silk-reinforced cellulose films with gold coating for flexible electrodes in medical implants
<p>Neurodegenerative diseases can be treated using a functional interface between the physically soft tissue such as brain and the man-made electrodes. The orders of magnitude harder neural probes cause local injuries, due to periodic micromovements owing to breathing and pulsatile blood flow leading to encapsulation and related collapsing signals. An alternative to the currently used neural implant films including polyimide, poly(p-xylylene), SU-8 - epoxy-based negative photoresist, liquid crystal polymer, and benzocyclobutene is the natural polymer cellulose with an elastic modulus between 100 and 200 MPa. This article elucidates the measurement of the mechanical properties of bare as well as mono- and double-layer silk-reinforced cellulose in phosphate-buffered saline using a universal testing machine. In addition, the article contains electron microscopy data of these micro-structured, gold-coated films subsequent to peel-off tests to access the impact of micro-structures on gold adhesion on cellulose. These imaging data were completed by electron micrographs of mechanically loaded gold-coated cellulose films to demonstrate the impact of micro-structures on crack formation. Finally, the phosphate-buffered saline-induced swelling of the micro-structure was visualized by electron micrographs obtained before and after two-month storage in air and phosphate-buffered saline, respectively.</p>
An experimental data set for analysis of the thermophysical behavior of a single-story mechanically ventilated double-skin façade (DSF) in fixed boundary conditions corresponding to winter/mid-season and summer cases
<p>Double-skin facades (DSFs) are dynamic and flexible building envelopes that employ a ventilated cavity to either prevent or reduce the solar-induced cooling load or exploit solar energy for passive solar heating. The mechanical ventilation of the cavity offers higher flexibility and control than natural ventilation, as the latter largely depends on stochastic and unpredictable external conditions. Furthermore, when mechanical ventilation rates are combined with the operation of a shading device, the possibilities for controlling the accumulated heat in the cavity of the DSF increase further. Therefore, this experimental campaign systematically investigates how these two important features interact in controlling the cavity's thermal load and airflow conditions. The measurement collected during the experiments constitutes a dataset that contains the results of a series of experimental runs where the different configurations of DSF, in terms of mechanical ventilation rate and venetian blinds, have been subjected to two representative boundary conditions through a climate simulator facility equipped with a solar simulator device. The full-scale DSF mock-up, which includes venetian blinds installed in a 200 mm ventilated cavity, is operated in this experiment in two modes: outdoor air curtain (OAC) and supply air (SA) mode. Tests were carried out under a steady-state regime with different boundary conditions. For the analysis of the utilization of the excess heat accumulated in the cavity and prevention of DSF overheating, boundary conditions corresponding to g-value calculations were selected. For the analysis of air preheating in the DSF cavity, the boundary conditions corresponding to late winter/mid-season weather (cold outdoor air and low-to-moderate solar irradiance) were chosen. The entire set of experimental data collected during the tests is made publicly available to enable the scientific community to access experimental data to further analyze this problem or for model validation purposes. The data set supplements the open-access paper entitled "<strong>Control of heat transfer in single-story mechanically ventilated facades</strong>" (<a href="https://doi.org/10.1016/j.enbuild.2022.112304">https://doi.org/10.1016/j.enbuild.2022.112304</a>), where additional information about the aims of the experiments, the detailed methods, and other data processing procedures can be found. The database is supported by a guide ("Guide.pdf"), where further explanations about how to read data and schematic drawings of the sensor layout are provided. The collection of experimental tests is divided into two files, according to two considered cases:</p> <ul> <li><strong>DSF operating in outdoor air curtain mode </strong>(24 steady-state measurements). The following factors were changed: mechanical ventilation rate (0, 10, 15, 20, 30, 40, 50, and 100 % of maximum fan power) and venetian blind configuration (closed θ=0 º, semi-open θ=45 º, and raised blinds). The outdoor and indoor temperatures, 30 ℃ and 25 ℃, and solar irradiance of 500 Wm<sup>-2</sup> were replicated. [file name: "Summer.csv"],</li> <li><strong>DSF operating in supply air mode</strong> (27 steady-state measurements). The following factors were changed: mechanical ventilation rate (0, 10, 15, 20, 30, 40, 50, 75, and 100 % of maximum fan power) and venetian blind configuration (closed θ=0 º, semi-open θ=45 º, and raised blinds). The outdoor and indoor temperatures, 10 ℃ and 25 ℃, and solar irradiance of 300 Wm<sup>-2</sup> were replicated. [file name: " Winter_MidSeason.csv"]</li> </ul> <p>Any inquiries about the experimental data can be sent to: <a href="mailto:aleksandar.jankovic@ntnu.no">aleksandar.jankovic@ntnu.no</a></p> <p>The activities presented in this paper were carried out within the research project "REsponsive, INtegrated, VENTilated - REINVENT – windows," supported by the Research Council of Norway through the research grant 262198, and the partners SINTEF, Hydro Extruded Solutions, Politecnico di Torino and Aalto University.</p>
Turbulent Mechanisms for the Deep Convective Boundary Layer in the Taklimakan Desert
<p>The deep convective boundary layer (CBL) in the Taklimakan Desert plays an important role in the climate system in East Asia. Based on the observation experiment and large-eddy simulation, turbulent mechanisms for its formation were revealed in this study. This explained why the daily maximum CBL depth was independent of surface heating. In the late-morning, there was a weak temperature inversion and a near-neutral residual layer (RL) above the CBL. With the development of the CBL, stronger convection could penetrate the RL and even overshoot the top of the RL. The distinctive boundary-layer process entrained free-tropospheric air to warm the RL and then promoted the entrainment of the warmed air in the RL into the CBL. This extra energy supply effectively contributed to the growth of the CBL. With further positive feedback between the CBL and RL depths, a deeper CBL would form in consecutive fair-weather conditions.</p>
The dataset for the mechanical parameters of the ultraviolet adhesive polymer-inorganic interfaces
<p>We perform molecular dynamics (MD) simulation with full-atom representation to investigate the mechanical properties of interfaces between polymers, including seven ultraviolet (UV) adhesive polymers and other common polymers, and inorganic substrates (Si, SiO<sub>2</sub>, ZrO<sub>2</sub>). The interfacial mechanical parameters such as strength and energy release rate in the cohesive zone models (CZMs) are calculated from the MD simulations. The typical traction separation and shear deformation are applied to the polymer-inorganic interface. Different interfacial crosslink densities of the polymer-inorganic interfaces are also considered. The dataset provided here can be used as the input for failure prediction and design optimization by the finite element analysis (FEA), for example, layered polymer-inorganic composites used in electronic device packages.</p>
Research data in support of: An Interplay of Mechanical and Structural Properties of DNA Determines Its Electrostatic Interactions with Lipids
<p>The data collected and reported for the publication entitled: An Interplay of Mechanical and Structural Properties of DNA Determines Its Electrostatic Interactions with Lipids. by Diana Morzy et al.</p> <p>Data is divided by the technique used, with folders named accordingly. Each dataset has a readme file, explaining the basic technical details, as well as how to open each file type.</p> <p>Please do not hesitate to contact the corresponding author (MMCB) for further details.</p>
F-actin Imaging of Mechanically Compressed Pseudostratified Human Bronchial Epithelial Cells
<p><strong>Overview</strong></p> <p>This dataset includes immunofluorescence microscopy of pseudostratified airway epithelial cells stained for F-actin. Each field of view consists of 3 images visualizing the apical cell boundaries, basal cell boundaries, and basal cell stress fibers.</p> <p><strong>Cell Culture and Treatment</strong></p> <p>Primary human bronchial epithelial cells (from a single donor) were grown on transwells in air-liquid interface culture for 14 days to model a well-differentiated, pseudostratified airway epithelium. Cells were then exposed to mechanical compression (30 cmH2O for 3 hours) mimicking asthmatic bronchoconstriction. Cells were fixed (4% PFA for 30 minutes) at 24, 48, or 72 hours after mechanical compression. Two transwells were collected per condition and timepoint.</p> <p><strong>Immunofluorescence Imaging</strong></p> <p>Fixed transwells were stained for F-actin (Alexa fluor 488-Phalloidin, ThermoFisher Scientific, diluted 1:40, 30 minutes). Transwell membranes were cut from the plastic support and mounted on glass slides. Slides were imaged using a Zeiss Axio Observer Z1 with an apotome module controlled using Zen Blue 2.0 software. Five random fields of view were imaged from each transwell membrane in a z-stack from substrate to apical cell surface. To visualize various planes through the pseudostratified epithelial layer (apical cell boundaries, basal cell boundaries, and basal cell stress fibers), maximum intensity projections were generated from regions of interest through the z-stack.</p> <p><strong>Dataset</strong></p> <p>Each image file contains</p> <ul> <li>Timepoint: <strong>24</strong>, <strong>48</strong>, or <strong>72 </strong>hours after treatment</li> <li>Condition & Well: control <strong>(C) </strong>or mechanical compression<strong> (P) </strong>followed by a number indicating the well (1 or 2)</li> <li>Unique Z-stack ID: <strong><em>3-digit number</em></strong></li> <li><em>Miscellaneous note: MIP or MIP_ROI</em></li> <li>Region of Interest: apical cell boundaries (<strong>ACB</strong>), basal cell boundaries (<strong>BCB</strong>), or basal stress fibers (<strong>SF</strong>)</li> </ul> <p>For example, these 3 maximum intensity projection images came from the<em> same z-stack/field of view. </em>They are from the 72 hour timepoint, mechanical compression, well #2, z-stack #147:</p> <ul> <li>72hr_P2_147_MIP_ACB.tif: <em>apical cell boundaries</em></li> <li>72hr_P2_147_MIP_ROI_BCB.tif: <em>basal cell boundaries</em></li> <li>72hr_P2_147_MIP_ROI_SF.tif: <em>basal stress fiber</em></li> </ul>
Phase Contrast Time-Lapse and F-actin Imaging of Mechanically Compressed or Irradiated Pseudostratified Human Bronchial Epithelial Cells
<p><strong>Overview</strong></p> <p>This dataset includes phase contrast time-lapse imaging of <em>in vitro</em> pseudostratified airway epithelial cells to visualize their collective cellular migration after exposure to mechanical compression (mimicking bronchoconstriction) or irradiation. Additionally, the cells were fixed and stained for F-actin to visualize the apical cell boundaries, basal cell boundaries, and basal cell stress fibers.</p> <p><strong>Cell Culture and Treatment</strong></p> <p>Primary human bronchial epithelial cells (from a single donor) were grown on transwells in air-liquid interface (ALI) culture for 14 days to model a well-differentiated, pseudostratified airway epithelium. Cells were then exposed to either mechanical compression (30 cmH2O for 3 hours) mimicking asthmatic bronchoconstriction or irradiation (1Gy of ionizing radiation using a RS 2000 Biological Research Irradiator (RadSource) on ALI days 7, 10, and 14).</p> <p><strong>Phase Contrast Time-Lapse Imaging</strong></p> <p>At 24 or 72 hours after final treatment, cells were imaged to visualize collective cellular migration. For each independent experimental replicate (2 transwells per treatment per timepoint), six fields of view per well were imaged every 6 minutes over 1.5 hours. The imaging chamber was supplied with 37°C, 5% CO2, humidified air on a Zeiss Axio Observer Z1 to collect phase contrast images. <em>The image resolution is 0.586 µm/pixel.</em></p> <p><strong>Immunofluorescence Imaging</strong></p> <p>Cells were fixed (4% PFA for 30 minutes) at 24 or 72 hours after final treatment (and after phase contrast time-lapse imaging). Fixed transwells were stained for F-actin (Alexa fluor 488-Phalloidin, ThermoFisher Scientific, diluted 1:40, 30 minutes). Transwell membranes were cut from the plastic support and mounted on glass slides. Slides were imaged using a Zeiss Axio Observer Z1 with an apotome module controlled using Zen Blue 2.0 software. Five random fields of view were imaged from each transwell membrane in a z-stack from substrate to apical cell surface. To visualize various planes through the pseudostratified epithelial layer (apical cell boundaries, basal cell boundaries, and basal cell stress fibers), maximum intensity projections were generated from regions of interest through the z-stack. <em>The image resolution is 0.293 µm/pixel.</em></p> <p><strong>Dataset</strong></p> <p>Phase contrast time-lapse movies are provided as *.avi files. Immunofluorescence images are provided as *.tif files. For an individual transwell, the imaging dataset includes:</p> <ul> <li>6 phase contrast time-lapse movies</li> <li>5 immunofluorescence images of apical cell boundaries</li> <li>5 immunofluorescence images of basal cell boundaries</li> <li>5 immunofluorescence images of basal cell stress fibers</li> </ul> <p>Phase contrast time-lapse filenames contain</p> <ul> <li>Donor: U13</li> <li>Timepoint: 24 or 72 hours</li> <li>Treatment & Well: control (C), mechanical compression (P), or irradiation (R); well 1 or 2</li> <li>Field of View: (1) – (6)</li> </ul> <p>Immunofluorescence image filenames contain:</p> <ul> <li>Donor: <strong>U13</strong></li> <li>Timepoint: <strong>24</strong> or <strong>72</strong> hours</li> <li>Treatment & Well: control (<strong>C</strong>), mechanical compression (<strong>P</strong>), or irradiation (<strong>R</strong>); well <strong>1</strong> or <strong>2</strong></li> <li>Field of View: <strong>1-5</strong></li> <li>Region of Interest: apical cell boundaries (<strong>ACB</strong>), basal cell boundaries (<strong>BCB</strong>), or basal stress fibers (<strong>SF</strong>)</li> </ul> <p>Phase contrast time-lapse and immunofluorescence from the same transwell will all start with the same “Donor_Timepoint_Treatment/Well...” (i.e. U13_24_C1…). <strong>Note that the images from phase contrast and immunofluorescence are not necessarily from matched locations within the transwell and are at different spatial scales.</strong></p> <p>Immunofluorescence images from the same z-stack field of view will start with the same “Donor_Timepoint_Treatment/Well_FieldofView…” (i.e. U13_24_C1_1…).</p>
Insight into the Mechanical Coupling Behavior of Loose Sediment and Embedded Fiber-optic Cable using Discrete Element Method
<p>The dataset contains the simulation codes and generated data in the manuscript titled "Insight into the mechanical coupling behavior of loose sediment and embedded fiber-optic cable using discrete element method". The codes (M files) were written in MatDEM, version 3.0 (free access at <strong>www.matdem.com</strong>), and the data is stored in MAT files.</p> <ul> <li>Test2D_2L1.m - codes for initial compacted elements</li> <li>Test2D_2L1.mat - generated data for initial compacted elements</li> <li>Test2D_2L2.m - codes for compacted elements with embedded fiber-optic cable</li> <li>Test2D_2L2.mat - generated data for compacted elements with embedded fiber-optic cable</li> <li>Test2D_2L3.m – codes for confining pressure setting</li> <li>Test2D_2L-0MPa3.mat ~ Test2D_2L-1.0MPa3.mat - generated data for confining pressure setting</li> <li>Test2D_2L4.m – codes for fiber-optic cable pullout tests under various confining pressures</li> <li>Test2D_2L-05-26-20mm-0MPa-un-No1-4.mat ~ Test2D_2L-07-21-20mm-1MPa-un-No1-4.mat - generated data for fiber-optic cable pullout tests under various confining pressures</li> </ul>
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.