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.
146
datasets available to search
ShareScore release 0.7.1
Dataset results
146 results for “Numerical model”
Magmatic fingerprints of subduction initiation and mature subduction: Numerical modelling and observations from the Izu-Bonin-Mariana system (Supplementary Material)
<p>Video of the reference model as well as three end-member models described in the manuscript. Additionally, the source code that was used to run the models and the initial model setup for each model presented can be found. The numbering of the models is equivalent to the numbering used in the paper (Ritter et al., 2024 in Front. Earth Sci.)</p>
Investigating the velocity of magmatic intrusions and its relation with rock fracture toughness: insights from laboratory experiments and numerical models
<p>This repository provides compressed folders containing the velocity profiles recorded during our oil-filled crack propagation experiments and the code used to simulate those experiments. In particular, the files in compressed folders <strong>10ml</strong>, <strong>30ml</strong>, <strong>50ml</strong> and <strong>others_ml</strong> contain two columns corresponding to the tracked cracks' depth [m] and velocity [m/s]. The two folders <strong>DYKE-CODE_constant-Ef</strong> and <strong>DYKE-CODE_variable-Ef</strong> contain the Fortran90 code, the input and output files, and all the scripts needed to reproduce the simulations and the plots displayed in Figure 3 and Figure 4 of the article <em>"</em>Investigating the velocity of magmatic intrusions and its relation with rock fracture toughness: insights from laboratory experiments and numerical models<em>"</em><strong><em> </em></strong> by A. Gaete, F. Maccaferri, S. Furst, and V. Pinel.</p>
Data from: Numerical models for assessing the risk of leaflet thrombosis post-transcatheter aortic valve-in-valve implantation
Open the record for dataset details and reuse information.
Data from: Numerical biomechanics modelling of indirect mitral annuloplasty treatments for functional mitral regurgitation
Open the record for dataset details and reuse information.
Data from: Controls on yardang development and morphology II. Numerical modeling
Open the record for dataset details and reuse information.
Data from: Multi-scale, numerical modeling of spatio-temporal signaling in cone phototransduction
Open the record for dataset details and reuse information.
Data from: Estimating range expansion of wildlife in heterogeneous landscapes: a spatially explicit state-space matrix model coupled with an improved numerical integration technique
Open the record for dataset details and reuse information.
Upscaling capillary pressure curves for numerical modeling of gravity-capillary driven flow
<p>This work investigates upscaling of capillary pressure curves for modeling gravity segregation under the influence of capillary heterogeneity. We consider two flowing phases driven by gravity and capillary forces and seek the saturation spatial and temporal variation until equilibrium is reached. Existing upscaling methods, found in the literature, are applied to a number of cases. Resulting saturation solutions are compared to fine-scale simulations and the different methods are evaluated, showing in general that the popular capillary limit method produces the best results. However, a large number of cases are found to have significant errors. This leads to the conclusion that existing methods are often inadequate. We therefore propose a new optimization-based upscaling method. Using this approach it is shown that capillary pressure can be upscaled to Brooks-Corey type functions and produce accurate upscaled simulations matching the fine-scale solutions. Optimization upscaling is computationally demanding and requires the fine-scale simulations for minimizing an objective function. However, it is shown that the upscaled curves are robust, i.e., they can be applied to different permeability realizations to calculate ensemble average saturation solutions.<br> </p>
Tidal walking on Europa's strike slip faults - insight from numerical modeling (data)
<p>Dataset for article submitted to JGR Planets.</p>
Data for "Martian Infrasound: Numerical Modeling and Analysis of InSight's Data"
<p>This dataset complements the paper "Martian Infrasound: Numerical Modeling and Analysis of InSight's Data", submitted to the Journal of Geophysical Research - Planets.</p>
Numerical model output data for publication "Control of the oceanic heat content of the Getz-Dotson Trough, Antarctica, by the Amundsen Sea Low"
<p>Contains MITgcm model output data to reproduce the analyses of the paper "Control of the oceanic heat content of the Getz-Dotson Trough, Antarctica, by the Amundsen Sea Low", by Dotto and co-authors, published in Journal of Geophysical Research-Oceans (doi: 10.1029/2020JC016113). The model simulation is presented and described in Kimura et al. (2017; doi: 10.1002/2017JC012926) and in Dotto et al. (2019; doi: 10.1175/JPO-D-19-0064.s1). See the 'ReadMe.txt' file for a description of the data. </p> <p> </p>
Vesuvius deformation modeling, Comsol numerical model code
<p>The java file represenst a set of coherent procedures that allow a multiparametric analysis in the computing environment of the commercial package Comsol. </p> <p>The files .txt and .dat are files needed by the code to run the model. They represents the data related to our model.</p>
Mechanical data of rotary shear experiments, temperature measurements, and temperature numerical models for the manuscript: "Mechanical energy dissipation during seismic dynamic weakening in calcite-bearing faults"
<p>All data included in this data repository is ancillary to the manuscript "Energy dissipation during dynamic weakening in calcite-bearing fault rocks", submitted to Journal of Geophysical Research: Solid Earth. </p><p>The data consists in time series of high velocity friction experiments run with SHIVA (INGV, Rome), time series acquired from a two-color pyrometer (UC3M), the synchronization of the two, and numerical models. The data format is .mat, proprietary to Matlab, but they can be easily accessed with Python (see <a href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.io.loadmat.html">link</a>). Each .mat contains vector of the measured variables when opened from Matlab, or dictionaries when opened using the scipy.loadmat() function. </p><p>SHIVA and PYRO red data (calibrated data), fin data (synchronized data), and shivaRED vect data (numerical model data) are included in this data repository in separate folders. Numerical models are grouped in subfolder by type of model (the relation fin data to model is 1:n). We included the scripts to convert SHIVA raw data into SHIVA red data (<a href="https://github.com/aretu/shivaUNIX">link to shivaUNIX</a>), SHIVA and PYRO red data into fin data (/scripts/syncing2021.m), to obtain numerical models from fin data (<a href="https://github.com/aretu/shivaRED">link to shivaRED</a>), and to plot data (/scripts/making plots.ipynb).</p>
Effects of upper mantle wind on mantle plume morphology and hotspot track: numerical modeling
<p>This is the dataset for the paper "Effects of upper mantle wind on mantle plume morphology and hotspot track: numerical modeling"</p>
Impact of Estuarine Dams on the Estuarine Parameter Space and Sediment Flux Decomposition: Idealized Numerical Modeling Study.
<p>Input data to run the model; output data and scripts used to generate figures.</p>
Data from: A multifactor coupling prediction model for the failure depth of floor rocks in fully mechanized caving mining: a numerical and in situ study
To study the mining-induced failure depth of floor rocks in a fully-mechanized mining caving field affected by different coal seam pitches, mining face lengths, burial depths and aquifer water pressures, multifactor coupled orthogonal numerical tests on the failure depth of floor rocks were conducted. The numerical results show that the failure depth of floor rocks increases with increasing mining face length, coal seam pitch and burial depth. According to the relationship between failure depth and these impact factors, a multifactor coupled prediction model for the failure depth of floor rocks was established. In addition, the in-situ measurement of the failure depth of floor rocks in the Yitang Coal Mine in Huoxi coal field in Shanxi Province, China, was performed, and the in-situ failure depths of floor rocks in the 100502 (80 m) and 100502 (180 m) mining faces were approximately 12.50~14.65 m and 17.50~19.20 m, in good agreement with the results of the multifactor prediction model. Furthermore, the sensitivity of each impact factor in the prediction model of the floor failure depth was further analysed by F-test and range analysis, and the impact order of studied factors on the floor failure depth is coal seam pitch>mining face length>burial depth>aquifer water pressure.
Plume-induced rifting of thickened crust: 2D numerical model and implications for N–S rifts in southern Tibet
<p>The data for numerical model results of plume induced crust rifting </p>
Integrated Full-Scale Physical Experiments and Numerical Modeling of the Performance and Rehabilitation of Highway Embankments
<p>Corresponding data set for Tran-SET Project No. 18GTLSU06. Abstract of the final report is stated below for reference:</p> <p>"The study aimed to fundamentally understand how soil strength and hydraulic properties are impacted by recurring cycles of wetting and drying induced by climate variability, with the practical implication of forecasting the stability of highway embankment slopes. The review of literature on the effects of long-term cyclic wetting-drying phases on hydro-mechanical properties of clayey soils suggests that only a few cycles of wetting and drying can impact the strength and hydraulic conductivity, where the latter can increase several orders of magnitude. Laboratory model-scale experiments of Louisiana and Texas soils are still ongoing and will relate the laboratory test results to weathering cycles by accounting for parameters such as rainfall intensity and duration, evapotranspiration, temperature, and relative humidity. The objective of the laboratory testing was to determine the strength and unsaturated soil properties of samples collected from laboratory model-scale experiments and to investigate the subsequent changes in the hydro-mechanical properties of those clayey soils. For example, shrinkage test results provided a measure of the propensity and extent of strength loss incurred by a soil specimen when exposed to weathering cycles. Numerical modeling of highway embankments with material properties and test results obtained from lab testing were used to predict the factor of safety for an embankment in Texas."</p>
Exploring the influence of morphologic heterogeneity and discharge on downstream transport in streams with multiple logjams: 2. Insight from numerical models
<p>These are the input files to run HydroGeoSphere model in Little Beaver Creek, Colorado USA.</p>
Unraveling the Geodynamic Evolution of the Pre– and Early–Andean Margin: Insights from Numerical Modeling
Open the record for dataset details and reuse information.
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.