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.
1,084
datasets available to search
ShareScore release 0.9.0
Dataset results
1,084 results for “substrate”
Assessing corrosion resistance of 2D nanomaterial-based coatings on stainless steel substrates
<p><span>Two dimensional (2D) materials have elicited considerable interest in the past decade due to a diverse array of novel properties ranging from high surface to mass ratios, a wide range of band gaps (insulating boron nitride to semiconducting transition metal dichalcogenides), high mechanical strength and chemical stability. Given the superior chemo-thermo-mechanical properties, 2D materials may provide transformative solution to a familiar yet persistent problem of significant socio-economic burden: the corrosion of stainless steel (SS). With this broader perspective, we investigate corrosion resistance properties of stainless steel coated with 2D nanomaterials; molybdenum disulfide (MoS<sub>2</sub>), boron nitride (BN), bulk graphite in 3.5 wt. % aqueous NaCl solution. The nanosheets were prepared by a novel liquid phase exfoliation technique and the coatings were made by a paint brush to achieve uniformity. Open circuit potential (OCP) and potentiodynamic plots indicate the best corrosion resistance is provided by the MoS<sub>2</sub> and the BN coatings. Superior performance of the coating is attributed low electronic conductivity, large flake size, and uniform coverage of SS substrate, which likely impeded the corrosive ions from the solution to diffuse through the coating. </span></p>
Optimal mechanical interactions direct multicellular network formation on elastic substrates
<p>Cells self-organize into functional, ordered structures during tissue morphogenesis, a process that is evocative of colloidal self-assembly into engineered soft materials. Understanding how intercellular mechanical interactions may drive the formation of ordered and functional multicellular structures is important in developmental biology and tissue engineering. Here, by combining an agent-based model for contractile cells on elastic substrates with endothelial cell culture experiments, we show that substrate deformation–mediated mechanical interactions between cells can cluster and align them into branched networks. Motivated by the structure and function of vasculogenic networks, we predict how measures of network connectivity like percolation probability and fractal dimension as well as local morphological features including junctions, branches, and rings depend on cell contractility and density and on substrate elastic properties including stiffness and compressibility. We predict and confirm with experiments that cell network formation is substrate stiffness dependent, being optimal at intermediate stiffness. We also show the agreement between experimental data and predicted cell cluster types by mapping a combined phase diagram in cell density substrate stiffness. Overall, we show that long-range, mechanical interactions provide an optimal and general strategy for multicellular self-organization, leading to more robust and efficient realizations of space-spanning networks than through just local intercellular interactions.</p>
Forelimb morphology as an adaptation for burrowing in kangaroo rat species (genus Dipodomys) that inhabit different soil substrates
<p>Among burrowing rodents, forelimb morphology frequently shares an intricate relationship with soil substrates. Soils can vary widely in texture and density, leading to differences in friability, which often requires forelimb specializations in digging animals. Kangaroo rat species (genus <em>Dipodomys</em>) dig and occupy underground burrows, a trait which is essential to their survival. Some members of this genus are restricted to particular types of soil substrates that presumably require species-specific forelimb traits. Here we explored the forelimb morphology and soil substrates inhabited by four <em>Dipodomys</em> species, including two range-restricted species (<em>D. compactus </em>and<em> D. elator</em>) and two widely-ranging species (<em>D. merriami </em>and<em> D. ordii</em>) in an effort to explore the variation in soil usage, forelimb skeletal specializations, and the relationship between these traits. We assessed the size and shape traits of preserved specimen forelimb bones using traditional and geometric morphometric techniques and we extracted soil data associated with the collecting locality of each specimen. We expected the four species to differ in their substrate affinities and forelimb morphology. Specifically, we expected species that inhabit dense soil substrates (e.g., clay-rich soils) to display specialized forelimb morphology typified by an elongated scapula and robust humerus, radius, and ulna bones. The four <em>Dipodomys</em> species differed substantially in their soil associations. We also detected significant morphological differences among <em>Dipodomys</em> species in which forelimb traits allowing for greater mechanical digging ability were found in <em>D. elator</em>, a species that inhabits dense clay-rich soils. These findings suggest that <em>Dipodomys</em> species that inhabit dense substrates may require correspondingly specialized forelimb morphology and that these traits may limit the desirable geographic ranges inhabited by these species. This may provide particularly important information when making conservation decisions on behalf of these species given that, unlike other habitat features, soil substrates cannot be easily modified to suit the needs of the organism.</p>
Data from: Spectral wear modelling of rubber friction on a hard substrate with large surface roughness
<p>Soft-hard matter friction is a long-standing tribology problem that remains unclarified, requiring engineers to empirically predict the wear life. To clarify this issue, this study examines the transient running-in regime of rubber friction on a hard rough substrate and models the temporal wear progression using the spectrum curves of surface roughness for both materials. Performing a series of friction tests and three-dimensional surface-height measurements, the time-dependent behaviours of the power spectral densities (PSDs) are divided into two phases, namely the initial non-steady and long-term steady phases. The detailed spectral analyses of worn rubber surfaces in the initial phase lead to a blended PSD function between self-affine and K-correlation surface models, consisting of one variable (the Hurst exponent) that is saturated by the substrate self-affinity. Supported by the Greenwood–Williamson theory concerning rough contact mechanics, the volumetric estimate with the blended PSD function is used to assess the volume rate of wear debris in the steady phase, which is validated experimentally. These findings not only improve the wear predictions of soft materials from previous measurements of worn surfaces but also help clarify the constrained multiscale mechanism of wear.</p>
Data supplement for "Drops on polymer brushes – advances in thin-film modelling of adaptive substrates"
<p>This dataset contains supplementary data for the following publication:</p> <p>Hartmann, S., Diekmann, J., Greve, D., and & Thiele, U.<br>Drops on polymer brushes – advances in thin-film modelling of adaptive substrates<br><span><em>Langmuir</em></span> <span>2024</span><span>, 40</span><span>, 8</span><span>, 4001–4021</span></p> <p>We provide the source files and data for figures 3-15.</p>
Dissociable neuronal substrates of feature attention and working memory
<p>Attention and working memory (WM) are distinct cognitive functions, yet given their close interactions, it is often assumed that they share the same neuronal mechanisms. We show that in macaques performing a WM-guided feature attention task, the activity of most neurons in areas middle temporal (MT), medial superior temporal (MST), lateral intraparietal (LIP), and posterior lateral prefrontal cortex (LPFC-p) displays attentional modulation or WM coding, not both. One area thought to play a role in both functions is LPFC-p. To test this, we optogenetically inactivated LPFC-p bilaterally during different task periods. Attention period inactivation reduced attentional modulation in LPFC-p, MST, and LIP neurons, and impaired task performance. In contrast, WM period inactivation did not affect attentional modulation or performance and minimally affected WM coding. Our results suggest that feature attention and WM have dissociable neuronal substrates and that LPFC-p plays a critical role in feature attention but not in WM.</p>
Towards automatic derivation of geometry-based descriptors as surrogates for complex structural approaches in enzyme-substrate prediction
<p>Dataset produced for the Project PRELUDIUM19 2020/37/N/NZ2/00967 entitled: "Towards automatic derivation of geometry-based descriptors as surrogates for complex structural approaches in enzyme-substrate prediction"</p> <p>The dataset counts with the three families of enzymes used: dehalogenase, aldehyde reductase and nitrilase.</p> <p>For each enzyme, the docked structures, docked parameters and scripts to analyze them further are present. Moreover, the protocol that derives geometric descriptors from docked structures is also present.</p> <p>This work was supported by the National Science Centre, Poland (grant no. 2020/37/N/NZ2/00967)</p>
Data for "Friction in Rolling a Cylinder on or Under a Viscoelastic Substrate with Adhesion"
<p>This dataset contains all the data generated for the publication</p> <p>[1] R. Nazari, A. Papangelo, M. Ciavarella, Friction in Rolling a Cylinder on or Under a Viscoelastic Substrate with Adhesion, Tribology Letters, (2024), DOI: 10.1007/s11249-024-01849-1 </p> <p>The provided data are those which appear in the figures of Ref. [1]. Data are stored using informative named structures in a ".mat" file. The data are easily accessible through the Commercial Software MATLAB (© 1994-2023 The MathWorks, Inc.) or by using the free software GNU Octave. An exemplary code for loading and plotting the data contained in "dataRolling.mat" is the following:</p> <p>%%%%%%%%%%%%%</p> <div>clc</div> <div>clearvars</div> <div> </div> <div>close all</div> <div> </div> <div>% load workspace containing data</div> <div> <div>load('dataRolling.mat') </div> <div> </div> <div>% Plot the curve number 2 of Figure 7</div> <div> </div> <div>figure, hold on</div> <div>curve_number = 2;</div> <div>plot(Fig7.x(curve_number).x,Fig7.y(curve_number).y)</div> <div> </div> <div>%%%%%%%%%%%%%</div> </div>
Fitness landscape of substrate-adaptive mutations in evolved APC transporters
<p>Growth rate calculations:</p> <p>Single colonies of <em>S. cerevisiae</em> Δ10AA pADHXC3GH-<em>GOI</em> were inoculated in YB media supplemented with 4 mm NH<sub>4</sub><sup>+</sup> and 0.1 mg/ml ampicillin, and grown until late logarithmic phase. The cultures were pelleted at 750 × <em>g</em> for 10 min at 30 °C and washed with YB media. The wells in the microplate were filled with the amino acids of interest to a final concentration of 2 mM and with culture cells to a final OD<sub>600</sub> of 0.04, to a final total well volume of 200 µl. Sterile water was added in the space between the wells to avoid evaporation. The prepared microplates included three biological replicates of the strains with the plasmid containing the gene of interest (GOI) and one biological replicate of the strain with the empty vector. The absorbance in each well was measured at 600 nm in 30 min intervals without shaking of the microplate, at 30 °C for 72 h in a SpectraMax ABS Plus plate reader. The data sets (CSV files) are the raw optical density readings from the growth assays, along with plate layout metadata (CSV files). The growth rates were derived based on the Baranyi growth model, using the <em>growthrates</em> package in <em>R</em>.</p> <p>Included transporter genes:</p> <p>Mutated transporters (script growth_rates_mutants_Baranyi2.r)</p> <p><em>AGP1</em>, <em>AGP1</em>-N, <em>AGP1</em>-V,<em> AGP1</em>-NV, <em>AGP1</em>-G, <em>AGP1</em>-T, <em>PUT4</em>, <em>PUT4</em>-S</p> <p>Wild-type transporters (script growth_rates_wild_types_Baranyi2.r)</p> <p><em>AGP1</em>, <em>BAP2</em>, <em>CAN1</em>, <em>HIP1</em>, <em>LYP1</em>, <em>MMP1</em>, <em>PUT4</em></p> <p> </p> <p>Plasmid sequences (Genbank files):</p> <p>pADHXC3GH-AGP1, pADHXC3GH-BAP2, pADHXC3GH-CAN1, pADHXC3GH-HIP1, pADHXC3GH-LYP1, pADHXC3GH-MMP1, pADHXC3GH-PUT4-S L207S, pADHXC3GH-PUT4, pADHXC3GH</p> <p> </p> <p>Measureing relative membrane fluorescence (all transporters in this study have C-terminal GFP tags):</p> <p>Micrographs were analyzed with ImageJ using the script analyse_cell_perimeter.ijm</p>
Data for the paper "Dispersion of particles in a sessile droplet evaporating on a heated substrate"
<p><span><span>This file contains the data generated for each case demonstrated in the paper titled "Dispersion of particles in a sessile droplet evaporating on a </span>heated substrate" <br>Authors: Aman Kumar Jain, Fabian Denner, and Berend van Wachem. <br><br>The repository contains the 7 folders for 7 cases performed in stage 2 of the simulation described in table 4 of the paper. Cases C1 and C2 involve a droplet on a substrate at Ts = 25 ◦ C, while C3 and C4 involve a substrate at Ts = 50 ◦C. Marangoni stresses are considered in the even-numbered cases and neglected in the odd-numbered ones. The case names ending with suffix S denotes the standard silica particles and the case names ending with suffix N denotes neutrally buoyant articles. <br></span></p> <p><span>Along with these folders a python script "ParticleCombined.py" is added which uses the particle position data in each case folder to calculate the particle surface density. <br><br>Each case folder contains: <br>The fluid fields, mesh, and particle information are stored in folders Fields, DMs, Meshes and Particles. <br>A .xmf wrapper file is provided to read the simulation results in Paraview. <br>The "results.xmf" file shows the fluid data such as velocity, pressure and liquid volume fraction. The liquid volume fraction value, alpha, tracks the interface of an evaporating sessile droplet. <br>The "results_DEM.xmf" shows the particle data such as the position, velocity and other data sets associated with the particles. <br><br>Each case folder contains five *.csv files which contain the information of particle position for 5-time instances and are processed using the python script "ParticleCombined.py". <br><br>This research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), grant number 452916560.<br></span></p>
Higher order spin interactions mediated by the substrate
<p>Raw data for the plots used in the paper. Every file has the x axis as the first column and the appropriate interaction as the second column. To obtain the same values as in the paper, normalize the second column by the hopping (t = 0.5). </p> <p>The expression for the fourth order expansion term was obtained using the SNEG package (http://nrgljubljana.ijs.si/sneg/) but can be handled by Mathematica. </p> <p> </p> <p>nc is the non-commutative multiplication</p> <p> </p> <p>Electron field operators are expressed with the following subscripts:</p> <p>c[type, site, time, spin] </p> <p>type: 0 - creation; 1 - annihilation</p> <p>site: from i_1 to i_4</p> <p>time: imaginary time from t_1 to t_4</p> <p>spin: 1,2,3 representing x,y,z</p> <p> </p> <p>Spin operators are expressed with the following subscripts:</p> <p>S[site,spin]</p> <p>site: from i_1 to i_4</p> <p>spin: 1,2,3 representing x,y,z</p>
Dataset published in the article: "Electrospun poly(L-lactide-co-DL-lactide) nanofibrous scaffold as substrate for ex vivo limbal epithelial cell cultivation"
Open the record for dataset details and reuse information.
Experimental dataset on basal stresses and seismic signals generated by granular flows moving on a 3D-printed bumpy substrate
<p>This dataset provides the data supporting the experimental study of granular flows moving on a 3D-printed bumpy substrate considering the response of basal stresses and seismic signatures.</p> <p>S1_video clips_the side-view of the kinematic behaviors of the granular flows tracked by a high-speed camera.</p> <p>S2_data_stress and seismic signals measured at the instrumented plate</p> <p>S3_data_example of velocity fields downstream and normal to the base<br>S4_data_propagation features of the flow characterized by basal stresses and seismic signals<br>S5_data_variations of the depth-averaged velocity of the granular flows and corresponding nondimensionalized downslope velocity profiles<br>S6_data_profiles of the velocity of the granular flows normal to the base along with their depth-averaged velocities in the basal layers<br>S7_data_ nondimensionalized shear rates of the granular flows for various particle diameters <br>S8_data_depth-averaged shear rates and corresponding inertial numbers for granular flows with different particle sizes<br>S9_data_the mean normal stress and shear stress and stress fluctuations normal and tangential to the base<br>S10_data_characteristics of seismic signals in terms of peak amplitude, mean envelope, seismic deviation factor, and the signal mean frequency<br>S11_data_effective basal friction coefficient and equivalent friction coefficient as functions of particle diameter<br>S12_data_relationships between nondimensionalized normal stress fluctuations and nondimensionalized basal vertical velocity, inertial number, effective basal friction coefficient and equivalent friction coefficient of the flows.<br>S13_data_seismic deviation factor as functions of nondimensionalized normal stress fluctuations, inertial number, effective basal friction coefficient and equivalent friction coefficient</p> <p>S14_data_Comparison of effective basal friction coefficient μ_b and that scaled by the nondimensionalized basal vertical velocity.</p>
Supplementary material S30: The trend in times intervals of jolting pulses for four mite individuals on various substrates (petri-dish, brood-comb and honeycomb).
<p>Jolt occurrence time intervals with respect to time. Data are shown here for a second and third mite on petri-dish (a, b and c, d respectively), a second mite on brood-comb (e, f) and the mite that produces audible jolting pulses on the empty honeycomb that is referred to in the main text (g, h). Jolt occurrences and time between consecutive instances of jolting are showcased in both linear (a, c, e, g) and logarithmic (b, d, f, h) forms. A change in the colour of the data points is indicative of the mite moving to a new position on the substrate.</p>
Supplementary material S26: A comparison of the spectral features of the loudest jolt against walking vibrations on each substrate.
<p>A series of spectrograms allowing the comparison of the vibration originating from the loudest jolt on the left column and walking behaviour on the right column, on three separate substrates (petri-dish (a and b), empty honeycomb (c and d), brood-comb (e and f). The magnitude of acceleration is logarithmic (to the base 10), where the highest magnitude is dark red (2.1x10<sup>-3</sup> m/s<sup>2</sup>) and the lowest magnitude dark blue (and forced to 1/200 of the maximum). All six panels are scaled identically for ease of comparison. In each spectrogram, the regular background vibration inherent to the room was calculated and subtracted, but still results in red pixels on the very lowest frequency band. The data observed in each panel is that also used in S24.</p>
Supplementary material S27: A comparison between the spectra of jolting and walking pulses on each substrate.
<p>Comparison of the average jolting pulse spectra against the average walking pulse spectra, on each substrate. Each collection of pulses (walking or jolting on each substrate) was individually sorted by magnitude and the strongest ones in the collection averaged. The purpose of this is to demonstrate a possible discrimination between the two different behaviours on each substrate on the basis of the pulse spectral features. The number of pulses chosen to be averaged for each collection differs based upon the extent of the collection of spectra and their clarity/quality (petri-dish jolting <em>n </em>= 15, petri-dish walking <em>n </em>= 40, honeycomb jolting <em>n </em>= 10, honeycomb walking <em>n </em>= 40, brood-comb jolting <em>n </em>= 20, brood-comb walking <em>n </em>= 20). All averaged pulses were high pass filtered with a cut-off at 300 Hz to remove background noise without interfering with the frequencies where the signal of interest occurs.</p>
Data supplement for "Multiscale perspective on wetting on switchable substrates: mapping between microscopic and mesoscopic models"
<p>Data set and python code to recreate the figures of "Multiscale perspective on wetting on switchable substrates: mapping between microscopic and mesoscopic models". Additionally, it includes the oomph-lib Code to reproduce the data for the simulations in the mesoscopic thin-film model.</p>
Data from: Landscape context and substrate characteristics shape fungal communities of dead spruce in urban and semi-natural forests
<p>Data from:</p> <p>Korhonen, A., Miettinen, O., Kotze, D.J., & Hamberg, L. (2022). Landscape context and substrate characteristics shape fungal communities of dead spruce in urban and semi-natural forests. Environmental Microbiology. DOI: 10.1111/1462-2920.15903</p> <p>This dataset contains occurrence data of 475 fungal ITS2 sequence clusters (OTUs) across 360 sequenced samples originating from dead wood of Norway spruce (<em>Picea abies</em>). Wood samples were collected from 90 downed spruce trunks, at four points from each trunk. Trunks were at intermediate stages of decay and located in spruce-dominated stands in 24 urban forests (66 trunks) and in 8 rural semi-natural forests (24 trunks) in southern Finland. The data consists of an OTU table (sequence read counts in each sample) and sample metadata (locality information, trunk characteristics and environmental variables).</p>
Effect of heterogeneous substrate adhesivity of follower cells on speed and tension profile of leader cells in primary keratocyte collective cell migration
<p><span>In single keratocyte motility, membrane tension is reported to be high at cell-fronts and believed to establish front coherence. To understand role of membrane mechanics in collective cell migration, we study membrane height fluctuations in cell sheets from fish scales using interference reflection microscopy (IRM). We report the monolayer to have cells lacking substrate adhesion and show that such "non-sticky" cells can form bridges between leader cells and far-away follower cells. Do such interactions alter motility and membrane mechanics in such leaders? We find non-significant, but reduced speed for leaders with "non-sticky" followers in comparison to other leaders. Cells show high phenotypic variability in their membrane fluctuation tension profiles. On average, this tension is found to be lower at cell fronts than the mid-section. However, leaders with non-sticky followers are more prone to display higher tension at their front and have a negative correlation between cell speed and front-mid tension difference. We, thus, conclude that intracellular tension gradients are heterogeneous in cell sheets and substrate adhesivity of followers can control the coupling of the gradient to cell speed.</span></p>
Raw datasets and media accompanying the manuscript: Homogenous high enhancement surface-enhanced Raman scattering (SERS) substrates by simple hierarchical tuning of gold nanofoams
<p>Raw datasets and media accompanying the manuscript: Homogenous high enhancement surface-enhanced Raman scattering (SERS) substrates by simple hierarchical tuning of gold nanofoams</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.