Skip to main content
Powered by ShareScore

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.

101

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

101 results for “Rheology”

Learn how ShareScore rates datasets ↗
zenodo36/100

Contrasting Collision-induced Far-field Orogenesis Controlled by Thermo–rheological Properties of the Composite Terrane - Dataset

<p>This is the dataset for the paper &quot;Contrasting Collision-induced Far-field Orogenesis Controlled by Thermo&ndash;rheological Properties of the Composite Terrane&quot; that has been submitted to &quot;Geophysical Research Letters&quot;.</p>

opencc-by-4.0Aug 2020View details →
zenodo36/100

Rheological structure and lithospheric stress interaction in the Alaska subduction zone gleaned from the 2018 Mw 7.9 oceanic crustal earthquake

<p>This&nbsp;repository contains the observed and modeled first 2-year timeseries of postseismic deformation at GPS sites in the best-fit model associated with the 2018 Mw 7.9 Kodiak, Alaska earthquake (Timeseries.rar), as well as the preferred afterslip on the fault (Afterslip.rar).</p>

opencc-by-4.0Nov 2023View details →
zenodo36/100

Decoupling the rheological responses of a soft solid emulsion with liquid inclusions

<p>Data used to write the paper Decoupling the rheological responses of a soft solid emulsion with liquid inclusions submitted to Journal of Physics: Condensed Matter for the Focus Issue on Materials with Liquid Inclusions (DOI:&nbsp;10.1088/1361-648X/ad61ad)</p>

opencc-by-4.0Mar 2024View details →
zenodo36/100

Postseismic Deformation Due to the 2021 MW 7.4 Maduo (China) Earthquake and Implications for Regional Rheology and Seismic Hazards around the Bayan Har block

<p><span>input.sh:&nbsp; Model input file in RELAX to simulate the coupled afterslip and viscoelastic contributions in the study of Tian et al. (2024), EPSL</span></p> <p><span>****.txt: Observed postseismic time series following the 2021 MW 7.4 Maduo (China) Earthquake</span></p> <p>&nbsp;</p> <p><span>Title: Postseismic Deformation Due to the 2021 MW 7.4 Maduo (China) Earthquake and Implications for Regional Rheology and Seismic Hazards around the Bayan Har block</span></p>

opencc-by-4.0Sep 2024View details →
zenodo36/100

Rheology data for DMEM supplemented by FBS

<p>Rheology measurements (shear stress and viscosity by shear rate) for DMEM supplemented by FBS (in 10% (room and 37 degrees Celsius temperatures), 5% and 1% concentration (both at room temperature)).</p>

opencc-by-4.0Sep 2024View details →
zenodo36/100

Assessment of legume starches to determine rheological characteristics relevant to alcohol production

<p>In the production of any alcoholic beverage you must understand the starch present and how to degrade it (via gelatinisation, liquefaction and saccharification) to simple sugars that are usable by yeast. &nbsp;Through using a RVA and a new rheometer method the gelatinisation temperature of a raw materials starch has been identified. &nbsp;This is the point where starch granules have become swollen with water and burst open to release their starch into solution thus making it available for enzymatic breakdown. &nbsp;This temperature point is specific to the raw material being used and is critical in producing a fermentable feedstock. &nbsp;This method can further be used to assess the success of different enzyme additions on starch breakdown; with a decrease in viscosity indicating successful enzymatic breakdown.</p> <p>Samples are milled to produce a fine grist. &nbsp;A fixed amount of the grist is then used to form a slurry with a calculated weight of water and run on a pre-set rheometer programme. &nbsp;The programme consists of an initial rapid stir followed by continuous stirring as temperature is increased, held, then decreased. The rheometer software then produces a chart output of the viscosity over time from which conclusions such as starch gelatinisation temperature, enzyme activity etc can be drawn.</p>

opencc-by-4.0Oct 2021View details →
zenodo36/100

Dataset for "The Tectonics and Volcanism of Venus: New Modes Facilitated by Realistic Crustal Rheology and Intrusive Magmatism"

<p>This repository contains data files to produce all the figures&nbsp;presented in the manuscript titled&nbsp;&#39;The Tectonics and Volcanism of Venus: New Modes Facilitated by Realistic Crustal Rheology and Intrusive Magmatism&#39;. Models were run using the code&nbsp;StagYY&nbsp;(Tackley, 2008), and visualization and post-processing was done using the MATLAB files within this repository.&nbsp;</p>

opencc-by-4.0Feb 2023View details →
zenodo36/100

Frequency-dependent mechanical properties of the Greenland upper mantle calculated using the Very Broadband Rheology calculator

<p><strong>Frequency-dependent mechanical properties of the Greenland upper mantle calculated using the VBRc</strong></p> <p>Frequency-dependent mechanical properties of the upper mantle beneath Greenland inferred using three-dimensional Bayesian inference of mantle thermodynamic state using the Very Broadband Rheology calculator (VBRc). Mechanical properties include the complex modulus, apparent viscosity, maxwell time, and apparent lithosphere thickness. They have been calculated for two constitutive models of anelastic behaviour - master curve fit with pre-melting scaling and extended Burgers with pseudoperiod scaling.</p> <p>These results are described in:</p> <p>Paxman, G.J.G., Lau, H.C.P., Austermann, J., Holtzman, B.K., Havlin. C., (2023), Inference of the Timescale‐Dependent Apparent Viscosity Structure in the Upper Mantle Beneath Greenland, AGU Advances 4(2), doi: 10.1029/2022AV000751.</p> <p>All variables are contained within a single NetCDF file.</p>

opencc-by-4.0Feb 2023View details →
dryad36/100

Controlling rheology via boundary conditions in dense granular flows

<p>Boundary shape, particularly roughness, strongly controls the amount of wall slip in dense granular flows. We aim to quantify and understand which aspects of a dense granular flow are controlled by the boundary conditions and to incorporate these observations into a cooperative nonlocal model characterizing slow granular flows. To examine the influence of boundary properties, we perform experiments on a quasi-2D annular shear cell with a rotating inner wall and a fixed outer wall; the latter is selected among 6 walls with various roughnesses, local concavity, and compliance. Measuring flow field and stress field throughout the material in experimental studies of granular materials is an ongoing challenge due to the complex nature of these materials. Here, we use innovative techniques to quantify stress field and flow field when different boundaries were used. We find that we can successfully capture the full flow profile using a single set of empirically determined model parameters, with only the wall slip velocity set by direct observation. Through the use of photoelastic particles, we observe how the internal stresses fluctuate more for rougher boundaries, corresponding to a lower wall slip, and connect this observation to the propagation of nonlocal effects originating from the wall. Our measurements indicate a universal relationship between dimensionless fluidity and velocity.</p>

opencc-zeroMar 2023View details →
zenodo36/100

The heterogeneous rheological properties of rock mass caused the formation of deep tension fractures

<p>Date for the paper &mdash;The heterogeneous rheological properties of rock mass caused the formation of deep tension fractures.</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

Rheology of mobile sediment beds in laminar shear flow: effects of creep and polydispersity

<p>Simulation data to accompany the journal article &quot;Rheology of mobile sediment beds in laminar shear flow: effects of creep and polydispersity&quot; by Rettinger et al. (2022) in Journal of Fluid Mechanics.</p> <p>The data set features the four simulation setups with varying degrees of polydispersity, denoted as mono, poly10, poly50, and poly100.</p> <p>Each setup has two subfolders: &#39;particle&#39; and &#39;fluid&#39;.</p> <p>The &#39;particle&#39; folder contains files with particle-related quantities. The name of the file indicates the simulation time step. Each file contains seven columns of data: the x-, y-, and z-coordinate of the particle&#39;s center of mass, followed by its radius and the three translational velocity components <strong>u</strong><sub>p</sub> = (u<sub>x</sub>, u<sub>y</sub>, u<sub>z</sub>). Each row thus contains the instantaneous properties of a single particle. Additionally, the row-ordering between time steps remains the same, i.e., the x-th row always denotes the same particle.</p> <p>The &#39;fluid&#39; folder contains files with fluid-related quantities. Again, the name denotes the simulation time step. Each file contains three columns of data: the three velocity components <strong>u</strong><sub>f</sub> = (u<sub>x</sub>,u<sub>y</sub>,u<sub>z</sub>) of the horizontally averaged flow field. Each row corresponds to a particular vertical (z-) coordinate, denoting the height above the bottom plane. This coordinate is given in the additional file &#39;height.txt&#39;.</p> <p>All data is given in simulation units where the lattice Boltzmann unit system is used.</p> <p>&nbsp;</p> <p>Updated version 1:</p> <ul> <li>Added a jupyter notebook (in python) that exemplifies how vertical profiles, e.g., of solid volume fraction and fluid velocity, can be extracted from the provided data.</li> <li>Fix in fluid height profiles (height.txt).</li> </ul> <p>Updated version 2:</p> <ul> <li>Added missing last column (z-velocity) to the particle data.</li> <li>Maintained consistent ordering of entries in particle data throughout all time steps.</li> </ul>

opencc-by-4.0Aug 2021View details →
zenodo36/100

Supplementary data for the study "Unveiling the rheological control of magmatic systems on volcano deformation: the interplay of poroviscoelastic magma-mush and thermo-viscoelastic crust ", submitted in the Journal of Geophysical Research: Solid Earth

<p>Supplementary data for the study &quot;Unveiling the rheological control of magmatic systems on volcano deformation: the interplay of poroviscoelastic magma-mush and thermo-viscoelastic crust &quot;, submitted in the Journal of Geophysical Research: Solid Earth</p>

opencc-by-4.0Jun 2023View details →
dryad36/100

Data from: Shallow moonquake mechanisms illuminated by rheologic characteristics of basaltic gouges

<p><span>The projected evolutionary history of the Moon and observed occurrence of moonquakes suggest that brittle faulting is present in the shallow lunar crust. Chang'e 5 samples of lunar regolith show a mineral composition almost identical to basaltic bedrock. We measure the friction-stability characteristics of dry synthetic gouges representative of basaltic faults assumed to be present in the lunar crust. Frictional strengths are ~0.7 and exhibit overall velocity-strengthening response but transition to velocity-weakening at intermediate temperatures (100-300</span><span>℃</span><span>) and stresses (10-100 MPa). Bounding temperature profiles representative of the lunar crust suggest that moonquakes are feasible throughout the shallowest ~40-60 km of the crust. However, observations of unusually high stress drops (up to 210 MPa) are inconsistent with the measured frictional strengths – suggesting that high degrees of healing on preexisting faults or intact crust are present – to augment stress accumulation mechanisms due to tidal forcing or differential thermal cooling.</span></p>

opencc-zeroAug 2023View details →
dryad36/100

Data from: Shallow moonquake mechanisms illuminated by rheologic characteristics of basaltic gouges

Open the record for dataset details and reuse information.

publicOct 2023View details →
dryad36/100

Controlling rheology via boundary conditions in dense granular flows

Open the record for dataset details and reuse information.

publicMar 2023View details →
zenodo32/100

Thermo-Rheological model of Long Valley Caldera

<p>3D Thermo-Rheological models of Long Valley Caldera presented in Gola G., Barone A., Castaldo R., Chiodini G., D&#39;Auria L., Garcia-Hernandez R., Pepe S., Solaro G. &amp; Tizzani P. &quot;A novel multidisciplinary approach for the thermo-rheological study of volcanic areas: The case study of Long Valley Caldera&quot;, which has been submitted for possible publication in Journal of Geophysical Research - Solid Earth. We evaluated the temperature distribution and the brittle-ductile values in a volume of 32&times;50&times;30 km<sup>3</sup>, along East, North and depth directions, respectively. The optimized solution of the conductive-convective model is evaluated with a reservoir permeability of 5.0&middot;10<sup>&minus;14</sup> m<sup>2</sup>, a fault-zone permeability of 5.0&middot;10<sup>&minus;14</sup> m<sup>2</sup> and a temperature of the magmatic intrusion beneath the caldera of 800&deg;C. The simulated fluid velocity magnitude (mm/year) along x , y and z directions is given positive eastward, northward and upward, respectively. The purely-conductive temperature distribution used as initial condition of the conductive-convective simulation is also given. Finally, we computed the 3D Brittle-Ductile (BD) stratification by considering the optimized conductive-convective thermal model and using a pore fluid factor, a strain rate and a &beta; value equal to 0.36, 1.2, 10<sup>&ndash;9</sup> s<sup>&ndash;1</sup>, respectively. Further details on the selected petrophysical parameters can be found in the Tables 2 and 3 of the manuscript.</p> <p>The values of the Thermal and Velocity models are gridded with a regular spacing of 0.25 km. The values of the BD model are gridded with a regular spacing of 0.5 km.</p> <p>Coordinates: North America NAD27 UTM Zone 11N</p> <p>Easting: 311000 - 360000 m.; Northing: 4155000 - 4187000 m.</p>

opencc-by-4.0May 2020View details →
dryad32/100

Rheological and thermal degradation properties of hyperbranched polyisoprene prepared by anionic polymerisation

<div class="WordSection1"> <p class="RSCB01ARTAbstract"><span><a name="_Hlk6757244">Hyperbranched polyisoprene was prepared by anionic copolymerisation under high vacuum condition. Size exclusion chromatography (<i>SEC</i>) was used to characterise the molecular weight and branching nature of these polymers. The characterisation by differential scanning calorimetry (<i>DSC</i>) and melt rheology indicated lower <i>T<sub>g</sub></i> and complex viscosity in the branched polymers as compared to the linear polymer. Degradation kinetics of these polymers was explored using thermogravimetric analysis (TGA) via non-isothermal techniques. The polymers were heated under nitrogen from ambient temperature to 600 °C using heating rates from 2, to 15 °C min<sup>-1</sup>. Three kinetics methods namely Friedman, Flynn–Wall–Ozawa (FWO) and Kissinger–Akahira–Sunose (KAS) were used to evaluate the dependence of activation energy (<i>E<sub>a</sub></i>) on conversion (<i>α</i>). The hyperbranched polyisoprene decomposed via multistep mechanism as manifested by the nonlinear relationship between <i>α</i> and <i>E<sub>a</sub></i> while the linear polymer exhibited a decline in <i>E<sub>a</sub></i> at higher conversions. The average <i>E<sub>a</sub></i> values range from 258 to 330 kJmol<sup>-1</sup> for the linear, and 260 to 320 kJmol<sup>-1</sup> for the branched polymers. The thermal degradation of the polymers studied involved one-dimensional diffusion mechanism as determined by Coats–Redfern method.  This study may help in understanding the effect of branching on the rheological and decomposition kinetics of polyisoprene</a>.</span></p> </div> <p> </p>

opencc-zeroNov 2019View details →
zenodo32/100

Input files and movie visualizations for convection models discussed in Becker and Fuchs, "Generation of evolving plate boundaries and toroidal flow from visco-plastic damage-rheology mantle convection and continents", manuscript revised for G-Cubed

<p>These input files are for the CitcomS software as available on github.com/geodynamics/citcoms and used in the version under commit 2bda530. They can be used to recreate the models discussed in Becker and Fuchs (revised manuscript submitted to G-Cubed, 11/2023), with model codes discussed and listed in Table 1 of the preprint as provided here. We also provide selected animations of the time dependence of model output, referenced to the same model names.</p>

opencc-by-4.0Nov 2023View details →
zenodo32/100

Quantitative evaluation of mantle flow traction on overlying tectonic plate: Linear versus power-law mantle rheology

<p>Dataset for <strong>Quantitative evaluation of mantle flow traction on overlying tectonic plate: Linear versus power-law mantle rheology</strong></p>

opencc-by-4.0Nov 2023View details →
zenodo32/100

Data from: Cation identity in clay-polyelectrolyte self-assembled hydrogels: Rheological and NMR study of the polyitaconate-counterion interactions

<p>The upload contains data associated with the publication, including raw data in the original file format whenever possible. Dataset content: NMR and rheology.</p> <p>This work was financially supported by the Lead Agency bilateral a Czech-Polish project provided by the Czech Science Foundation (21-07004K) and National Science Center Poland (CEUS-UNISONO project grant no. 2020/02/Y/ST5/00021).</p>

opencc-by-4.0Aug 2022View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record