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20 results for “phase-field”
Snow equi-temperature metamorphism described by a phase-field model applicable on micro-tomographic images: prediction of microstructural and transport properties
<p>This dataset provides data described and used in the article submitted to Journal of Advances in Modeling Earth Systems "Snow equi-temperature metamorphism described by a phase-field model applicable on micro-tomographic images: prediction of microstructural and transport properties".</p> <p>It contains .csv files with different properties computed on outputs of the model Snow3D simulating equi-temperature metamorphism. This micro-scale model was used here with experimental micro-tomographic snow images as input and returns series of 3-D images of snow showing features of equi-temperature metamorphism at different time steps as output.</p> <p>In this dataset, you will find two types of files:</p> <p>- the microstructural properties (density, specific surface area, covariance lengths, mean curvature) computed on the simulated images at different time steps.</p> <p>- the transport properties (effective conductivity, normalizes effective vapor diffusion coefficient, permeability) of the simulated images at different time steps.</p> <p>Finally, metadata_simulations.csv gather the information relative to the simulations.</p>
DataSet: Structural and optical properties of gold nanosponges revealed via 3D nano-reconstruction and phase-field models
<p>These are the main raw and processed data for the publication "Structural and optical properties of gold nanosponges revealed<br> via 3D nano-reconstruction and phasefield models".</p> <p>Abstract:<br> Nanoporous gold nanoparticles are subject of intensive research due to their unique morphology, which leads to electric field localizations generating a strongly nonlinear optical response, allowing a wide range of applications. However, accurate predictions of physical properties require detailed knowledge of the sponges’ chaotic nanometer-sized geometrical structures, posing a metrological challenge. Therefore, a main goal is to obtain computer models with equivalent structural and optical properties. To understand the sponges’ morphology, a procedure for their accurate three-dimensional reconstruction using focused ion beam tomography is presented. Next, a small number of morphological key parameters is derived that sufficiently characterize the complex topology. Additionally, a new simulation method for the computer-aided creation of finite-sized sponges with adjustable geometric properties is presented. It is shown that if certain morphological parameters are similar for computer-generated and experimental sponges, their optical response, including number and locations of field localizations, are also similar. Finally, the anisotropy of the experimental sponges is analyzed and an easy-to-use procedure to replicate arbitrary anisotropies in computer-generated sponges is presented.</p>
Large scale simulation of pressure induced phase-field fracture propagation using Utopia
<p>Utopia is an open-source C++ library for parallel non-linear multilevel solution strategies. Utopia provides the advantages of high-level programming interfaces while at same time a framework to access low level data-structures without breaking code encapsulation. Complex numerical procedures can be expressed with few lines of code, and evaluated by different implementations, libraries, or computing hardware. In this paper we investigate the parallel performance of our implementation of the recursive multilevel trust-region (RMTR) method based on the Utopia library. RMTR is a globally convergent multilevel solution strategy designed to solve non-convex constrained minimization problems. In particular, we solve pressure induced phase-field fracture propagation in large and complex fracture networks. Solving such problems is deemed challenging even for a few fractures, however, here we are considering realistic and idealized networks with up to 1000 fractures.</p>
Crystalline Morphology Formation in Phase-Field Simulations of Binary Mixtures
<p>Simulation data used for the publication "Crystalline Morphology Formation in Phase-Field Simulations of Binary Mixtures" in Journal of Materials Chemistry C, Royal Society of Chemistry (2023). See README file for more details.</p>
Elasto-plastic residual stress analysis of selective laser sintered porous materials based on 3D-multilayer thermo-structural phase-field simulations
<p>The supporting data and utilities from the publication "Elasto-plastic residual stress analysis of selective laser sintered porous materials based on 3D-multilayer thermo-structural phase-field simulations" are recorded in this dataset. </p> <p>Non-isothermal phase-field simulations of SLS process on SS316L material and subsequent elasto-plastic calculations were performed to analyze the development of plastic deformation and residual stress in SLS produced components during the processing. The dependence of the fusion zone, residual stress and plastic strain on the processing parameters namely, Beam power (Unit: Watts) and Scan speed (Unit: mm/s) were investigated. </p> <p>To promote FAIR research data principles, the processed simulation data from the thermo-elasto-plastic calculations for all the process parameter sets (hereby refered as P-v sets) are curated in this dataset. The raw temporal data obtained from the processing simulations and the elasto-plastic could not be included in this dataset due to its high volume. However, the corresponding raw data can be requested by contacting the creators of this dataset (Yangyiwei Yang: <a href="mailto:yangyiwei.yang@mfm.tu-darmstadt.de">yangyiwei.yang@mfm.tu-darmstadt.de</a> and Somnath Bharech: <a href="mailto:somnath.bharech@tu-darmstadt.de">somnath.bharech@tu-darmstadt.de</a>).</p> <p>This dataset includes: </p> <ul> <li><code>average_value.csv</code>: Contains average values of mechanical properties (such as residual stress, plastic strain) for the powder bed and the fused strut of all the process parameter sets.</li> <li><code>mesostructures_tep_sls.zip</code> : Contains resampled mesostructures obtained at the last time step of the SLS processing simulations with thermo-elasto-plastic calculations for the P-v sets reported in the aforementioned investigation. Nomenclature of the sub-directories indicating the P-v sets follows: <code>tep_<beam power>-<scan speed></code>. Each of these sub-directories contain the mesostructures from last time step of the thermo-elasto-plastic analysis of each of the four layer scans and is named as: <code>TP_layer{1..4}_output_final.e</code>. These files can be opened using Paraview v.5.8.1 or higher. The nodal values are explained as follows:</li> </ul> <table> <tbody> <tr> <td><strong>Nodal value name</strong></td> <td><strong>Symbol</strong></td> <td><strong>Description</strong></td> <td><strong>Unit</strong></td> </tr> <tr> <td>T</td> <td>\(T\)</td> <td>Temperature field normalized by \(T_M\)</td> <td>-</td> </tr> <tr> <td>c</td> <td>\(\rho\)</td> <td>Substance order parameter</td> <td>-</td> </tr> <tr> <td>eps_ij </td> <td>\(\varepsilon\)</td> <td>Strain</td> <td>-</td> </tr> <tr> <td>epsp_ij</td> <td>\(\varepsilon^\text{pl}\)</td> <td>Plastic strain</td> <td>-</td> </tr> <tr> <td>peeq</td> <td>\(p_\text{e}\)</td> <td>Accumulated plastic strain</td> <td>-</td> </tr> <tr> <td>sigma_ij </td> <td>\(\sigma\)</td> <td>Stress</td> <td>MPa</td> </tr> <tr> <td>vonmises</td> <td>\(\sigma_\text{e}\)</td> <td>von Mises stress </td> <td>MPa</td> </tr> <tr> <td>u</td> <td>\(\mathbf{u}\)</td> <td>Displacement</td> <td>µm</td> </tr> </tbody> </table> <p> </p>
A comparative assessment of different adaptive spatial refinement strategies in phase-field fracture models for brittle fracture
<p><strong>Abstract:</strong></p> <p>(from [1])</p> <blockquote> <p>For the smeared approximation of a discrete crack, phase-field fracture simulations of brittle materials require suitable finite element meshes in regions where crack propagation is expected to get an accurate resolution of the phase-field function. The intuitive option is to pre-refine the mesh in regions of the expected crack paths. However, this could lead to very computationally intensive simulations due to the high number of elements. Alternatively, adaptive spatial refinement of the finite element mesh is utilized based on appropriate error indicators to obtain the required accuracy in the areas of crack propagation. Different error indicators can be used: the most common one for phase-field fracture simulations is the threshold-based approach, in which elements are refined depending on the value of the phase-field function. Alternatively, the Kelly error indicator can be used as a criterion for spatial adaptivity. It considers the jumps in the gradients of the phase-field function between the elements. We additionally introduce here an error indicator based on configurational forces, that depend on the Eshelby stress tensor. For mode I loading in linear elastic fracture mechanics, the configurational forces have a close connection to the <span class="math-tex">\(\mathscr{J}\)</span>-Integral and the critical fracture energy <span class="math-tex">\(\mathrm{G}_\mathrm{c}\)</span> , respectively. Therefore, a suitable norm of the configurational forces is introduced as an error indicator here. These three error indicators are introduced and compared to each other in terms of accuracy and efficiency by means of numerical examples for crack growth in the single edge notched shear test.</p> </blockquote> <p><strong>Contact:</strong></p> <p>Maurice Rohracker</p> <p>Institute of Applied Mechanics</p> <p>Friedrich-Alexander-Universität Erlangen-Nürnberg</p> <p>Egerlandstr. 5</p> <p>91058 Erlangen</p> <p><strong>Software:</strong></p> <p>All phase-field fracture simulations were performed with <em>deal.II</em> [2], version 9.2.0, on the HPC cluster <em>Meggie</em> of NHR@FAU. The authors gratefully acknowledge the scientific support and HPC resources provided by the Erlangen National High Performance Computing Center (NHR@FAU) of the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). The hardware is funded by the German Research Foundation (DFG).</p> <p><strong>License:</strong></p> <p>Creative Commons Attribution 4.0 International</p> <p><strong>Context:</strong></p> <p>Dataset supplementing preprint:</p> <p>[1] M.Rohracker, P.Kumar, J.Mergheim, "A comparative assessment of different adaptive spatial refinement strategies in phase-field fracture models for brittle fracture", Forces in Mechanics, 2022, <a href="https://doi.org/10.1016/j.finmec.2022.100157">10.1016/j.finmec.2022.100157</a>.</p> <p>This dataset contains the complete results presented in [1], which include global variables, field variables, and meshes.</p> <p><strong>File structure:</strong></p> <p>The file structure is explained in more detail in the shipped <em>README.md</em> in the dataset folder.</p> <p><strong>References:</strong></p> <p>[1] M.Rohracker, P.Kumar, J.Mergheim, "A comparative assessment of different adaptive spatial refinement strategies in phase-field fracture models for brittle fracture", Forces in Mechanics, 2022, <a href="https://doi.org/10.1016/j.finmec.2022.100157">10.1016/j.finmec.2022.100157</a>.</p> <p>[2] D. Arndt, W. Bangerth, B. Blais, T. C. Clevenger, M. Fehling, A. V. Grayver, T. Heister, L. Heltai, M. Kronbichler, M. Maier, P. Munch, J.-P. Pelteret, R. Rastak, I. Thomas, B. Turcksin, Z. Wang, D. Wells, <strong>The deal.II Library, Version 9.2</strong> Journal of Numerical Mathematics, vol. 28, p. 131-146, 2020.</p>
Supplementary Data to "Simulation of dendritic-eutectic growth with the phase-field method" by Seiz et al.
<p>Video files for several simulations conducted for the paper, showing more of the dynamic time evolution than possible in the paper itself.</p> <p> </p> <p>Update 24/04/2023: A few additional simulations were conducted to test for the applicability of the theory delineating the dendritic-eutectic regime from the eutectic regime. Videos of these plus some additional data is deposited at</p> <p> </p> <p>https://zenodo.org/record/7858461</p> <p> </p> <p><br> All videos show the Cu composition field, with the color ranging from 0.02 (pure black) to 0.33 (pure white).<br> Thus black represents the fcc Al crystal, whitish-grey the Al2Cu intermetallic phase and grey shades in between the liquid melt, with lighter shades being richer in Cu.<br> Excluding the complete directional solidification videos (full*webm), all videos show regions of 280x250um^2, with the far-field to the right being cut off to emphasize the structure.<br> <br> {close,far}_d+e.webm:<br> Complete simulations resulting in a eutectic structure either growing close to the dendrite tip or far from it, cropped to slightly above the solidification front.<br> The same speed v=160um/s and melt composition c_0=0.12 are used, but two different gradients: 99K/mm for close growth and 24.7K/mm for far growth; at the even smaller gradient the eutectic is no longer in the moving window.<br> <br> traveling_oscillation.webm:<br> Complete simulation resulting in a eutectic with traveling oscillations. (v=160um/s, c_0=0.13, G=6.18K/mm)<br> <br> jump_d+e_e.webm:<br> Jumps from v = 160um/s to 320um/s at simulation start in order to move from a dendritic-eutectic morphology to a eutectic morphology.<br> After a eutectic morphology is obtained, the jump is reversed (around 17s into the video) and only a coarsening of the eutectic is observed.<br> <br> jump_e_d+e.webm:<br> Jumps from v=320um/s to 20um/s at simulation start in order to move from a eutectic morphology to a dendritic-eutectic morphology.<br> <br> full_cropped*webm:<br> Complete directional solidification for different alloy compositions and processing conditions yielding different structures. Cropped to slightly above the final maximum position of any solid phase, showing a 970x500um^2 domain.<br> A scaling to 50% of the original resolution is performed as some players/browsers have trouble with large resolutions.<br> e: primarily eutectic (v=320um/s, G=24.7K/mm, c_0 = 0.12)<br> d+e: dendritic-eutectic (v=160um/s, G=24.7K/mm, c_0 = 0.12)<br> <br> full_d.webm:<br> Same as above, only non-cropped as the structure fills the entire simulation box (1500x500um^2). (v=320um/s, G=24.7K/mm, c_0 = 0.08)</p>
Supplementary Material to "An improved grand-potential phase-field model of solid-state sintering for many particles"
<p>Supplementary Material to the publication "An improved grand-potential phase-field model of solid-state sintering for many particles" by Seiz, Hierl and Nestler. This contains the pre-study for determining the effective stiffness for the rigid-body velocity calculation and video files showing the 3D evolution of the green body in more detail than possible in the paper itself.</p> <p> </p> <p>slicethru_{start,end}.webm: Moving slices through the 400^3 nm green body at t=0.045ms and t=1.8ms representing the start and end of the simulation respectively. White/transparency indicates the surrounding vapor, with the colourmap showing different grains. Any interfaces are shown as black lines.</p> <p> </p> <p>greenbody_400.webm : Time evolution of the 400^3 nm green body based on the solid-vapor interface. White/transparent indicates the surrounding vapor, with the brownish material indicating the grains.</p> <p> </p> <p>prestudy.zip: Contains the notebook and data used for the pre-study for determining the effective stiffness. A binder is available at</p> <pre>https://mybinder.org/v2/git/https%3A%2F%2Fgit.scc.kit.edu%2Fxt5201%2Fsupplementary-material-for-improved-pf-sintering-model/master?labpath=eval-kvar.ipynb</pre> <p> </p> <p> </p>
A Non-Isothermal Phase-Field Crystal Model with Lattice Expansion: Analysis and Benchmarks
<h1>Non-isothermal pase-field crystal simulations with lattice expansion</h1> <p>Openly available Matlab simulation files used to produce the phase-field crystal and temperature results.</p> <p>Files are named by the corresponding figures. Simulations can be started by runnning the Figure*.m files.</p> <h2><a href="#figure1_2_3_dendrite"></a>Figure1_2_3_dendrite</h2> <p>Dendritic solidification with heat flux and lattice expansion Parameter studies for figures 2 and 3 can be obtained by setting the respective parameter values in /simulation/Pre/Parameter/Pre_modelParameters</p> <h2><a href="#figure4_opensystems"></a>Figure4_openSystems</h2> <p>Results for solidification in open systems controlled by applied heat flux</p> <h2><a href="#disclaimer"></a>Disclaimer</h2> <p>The software is released here under the MIT license. We kindly ask to refer to/cite for any usage and extension. The authors are thankful for any advice considering typos, mistakes, and/or discussions around the code/implementation or the topic of the related publication in general. Please do not hesitate to contact the main author, Maik Punke, via: <a href="mailto:maik.punke@tu-dresden.de">maik.punke@tu-dresden.de</a></p>
Data supplement for "Phase-field crystal description of active crystallites: Elastic and inelastic collisions"
<p>This dataset contains data related to the publication:</p> <p>Lukas Ophaus and Johannes Kirchner and Svetlana V. Gurevich and Uwe Thiele, "Phase-field crystal description of active crystallites: Elastic and inelastic collisions" Chaos<strong> 30</strong>, 123149 (2020); <a href="https://doi.org/10.1063/5.0019426">https://doi.org/10.1063/5.0019426</a></p> <p>The set contains (i) all figures in pdf format and (ii) complete data files accompanied by python plot scripts for selected figures.</p> <p> </p>
Data set for phase-field studies in multi-crack-seal veins in quartz microstructures
<p>The numerical data in this repository consists of the simulation data of multi-crack-seak syntaxial quartz vein formation. The simulations were performed using the software package "Pace3D (v. 2.5.1)".</p> <p>The simulation data shows intermediate fracturing and growth stages and was converted from Pace3D output data format to VTK data format. The VTK files can be visualized using open source software packages like Paraview. Some data files in the subfolders are also compressed (file format *.gz). For visualization the data has to be decompressed with e.g. gzip or 7zip.</p>
Numerical data pertaining to phase-field simulations of quartz cementation in polycrystalline sandstones
<p>The numerical data in this repository pertains to the simulation results of quartz cementation in polycrystalline sandstones. The simulations were performed using the software package named "Pace3D version 2.5.1". The software license can be purchased at Steinbeis Network (www.steinbeis.de) in the management of Britta Nestler and Michael Selzer under the subject area ‘Material Simulation and Process Optimization’. </p> <p>The data is organized, the way it appears in the figures in the manuscript. Thus, the folders are named according to the figure number in the manuscript. Each folder contains a separate ReadMe.dat file, which contains all the information regarding the data present in that folder.</p> <p> </p> <ul> <li> For the sake of convenience, the simulation data that comprises the pictures is converted to .stl and .vtk format, for visualization using open source software packages like Paraview and MeshLab.</li> <li>The original complete output data is in the formats (e.g. *.phiindex.p3s, *.fluiddynamics_velocity.p3v etc.) which can be visualized using the in-house visualization tools GLviewer and XSimview.</li> <li>The data presented in plots is extracted from the simulation output using the post-processing tool chain of "Pace3D".</li> </ul> <p> </p>
Data set for phase-field studies of crystal growth in single-seal syntaxial veins in limestone
<p>The numerical data in this repository consists of the simulation data of single-seal syntaxial calcite vein formation in limestone. The simulations were performed using the software package named "Pace3D (v. 2.5.1)".</p> <p>The data is organized, the way it appears in the figures in the manuscript and the folders are named accordingly.</p> <ul> <li>The simulation data shows intermediate growth stages and was converted from Pace3D output data format to VTK data format. The VTK files can be visualized using open source software packages like Paraview. The data files in each subfolder are also compressed (file format *.gz). For visualization the data has to be decompressed (e.g. with gzip, 7zip).</li> </ul>
Data set for phase-field simulation of epitaxial crystal growth in open fractures with lateral flow
<p>The numerical data in this repository consists of the simulation data of epitaxial crystal growth in open fractures with lateral flow. The simulations were performed using the software package named "Pace3D".</p> <p>The simulation data shows the grain structure, the concentration field and the fluid flow velocity in stream direction (if present) at intermediate stages. It was converted from the Pace3D output data format to VTK data format. The VTK files can be visualized using open source software packages like Paraview. For visualization the data has to be decompressed (e.g. with gzip, 7zip).</p>
Supplementary Data to "Simulation of dendritic-eutectic growth with the phase-field method" by Seiz et al. pt. 2
<p>Data from some additional simulations conducted during the review of the paper. The goal was to test whether the theory delineating the dendritic-eutectic regime from the eutectic regime would also be applicable at lower solidification speeds. I chose the gradient G = 99 K/mm for quicker convergence and a target crossover concentration of c_0 = 0.11 to roughly get a factor of 10 slower crossover velocity compared to the previous simulations. The crossover velocity, following the theory, ended up being V= 8.347 um/s. The grid spacing was increased by a factor of 3 motivated by the classical scaling laws VR^2 = const. (R= dendrite tip radius or lamellar spacing) and approximating sqrt(10) as 3. At first, three test concentrations (c_0 = 0.1, 0.11, 0.12) are considered. If the theory is right, only c_0 = 0.1 should yield dendritic-eutectic growth.</p> <p> </p> <p>Even after an increase of grid spacing, having more than 5 diffusion lengths between the solidification front and the boundary would have required in excess of 15k cells in the growth direction. Thus I opted to work with a smaller domain for which I later needed to account. I employed a domain of 1200 um (4k cells) in the growth direction, with the moving cutoff at 600 um, and a width of 270 um. This makes for about 2.5 diffusion lengths (l_d = 239.6 um) between the front and the boundary. This did influence the results, as the simulation with c_0 = 0.11 showed dendritic-eutectic growth. Fitting an exponential ansatz for the concentration c(x) = c_inf + dc exp(-x/l_d) (x starting from the dendrite tip) showed that the apparent far-field concentration c_inf=0.108243 was actually within the dendritic-eutectic regime.</p> <p>In order to approximate a simulation for which c_inf = 0.11, the ansatz was employed to solve for c(x_b = 600um) using the actual diffusion length for l_d and observed tip concentration to determine dc. This led to a boundary value of c(x_b) = 0.115, for which another simulation was run. This simulation did show eutectic growth dominating, though the apparent far-field concentration (c_inf = 0.112216) at simulation end did not match the target concentration, likely due to being not converged yet. However, this point does lie within the eutectic regime as predicted by the theory and thus the theory also works at lower velocities once the problem of finite domain sizes is accounted for.</p> <p> </p> <p>Videos showing the evolution of the four simulations with different boundary concentration are attached, though with somewhat variable time between frames. The videos show a 660 x 270 um view of the simulation, slightly beyond the moving window cutoff.</p> <p>Attached as well is the updated microstructure map (with the new simulations plotted over their apparent far-field concentration) and a plot of the height difference between the maximal observed position of the alpha and theta phase. The latter serves as an easy way to differentiate dominant eutectic from dominant dendritic-eutectic growth, as this difference goes to zero for dominant eutectic growth, but some significant non-zero value for dendritic-eutectic growth.</p>
Data supplement for "Efficient calculation of phase coexistence and phase diagrams: application to a binary phase-field crystal model"
<p>This dataset contains the data and source files for the diagrams of the following publication:</p> <p><em>Holl, M. P., Archer, A.J., & Thiele, U.<br> Efficient calculation of phase coexistence and phase diagrams: application to a binary phase-field crystal model<br> arXiv preprint </em><br> <a href="https://arxiv.org/abs/2009.02946">arXiv:2009.02946</a><em>, 2020 </em></p> <p>We provide the data and sources necessary to generate figures 10-14 of the manuscript.</p> <p>Additionally we provide the MATLAB codes to run all the continuations for the results in sections 4.2 and 5. </p> <p>For more information, please see the included README.md</p>
Data set for phase-field studies of K-feldspar dissolution through etch-pit formation
<p>The numerical data in this repository consists of the simulation data of K-feldspar dissolution through etch-pit formation. The simulations were performed using the software package named "Pace3D".</p> <p>The data is organized, the way it appears in the figures (only, those figures, where simulation data is rquired) in the manuscript and the folders are named accordingly.</p> <ul> <li>The intermediate growth stage simulation data were translated from Pace3D output data format to VTK data format. Using open-source software tools such as Paraview, the VTK files can be examined. Each subfolder's data files are likewise compressed (*.gz file extension). Data must be decompressed for visualization (e.g. with gzip, 7zip).</li> </ul>
Dataset for phase-field simulation showcasing impact of clay-coating on sandstone reservoir
<p>The numerical data in this repository consists of the simulation data of impact of clay-coating on sandstone reservoir quality. The simulations were performed using the software package named "Pace3D".</p> <p>The data is organized, the way it appears in the figures (only, those figures, where simulation data is rquired) in the manuscript and the folders are named accordingly.</p> <ul> <li>The intermediate growth stage simulation data were translated from Pace3D output data format to VTK data format. Using open-source software tools such as Paraview, the VTK files can be examined. Each subfolder's data files are likewise compressed (*.gz file extension). Data must be decompressed for visualization (e.g. with gzip, 7zip).</li> </ul>
Numerical data sets pertaining to phase-field simulations of faceted crystal dissolution processes
<p>The numerical data in this repository (Archive.zip + Animation.zip) pertains to the simulation results of faceted crystal dissolution processes in different crystal-liquid systems. The simulations were performed using the software package named "Pace3D version 2.5.1". The software license can be purchased at Steinbeis Network (www.steinbeis.de) in the management of Britta Nestler and Michael Selzer under the subject area ‘Material Simulation and Process Optimization’. </p> <p><br> The data is organized, the way it appears in the figures in the manuscript. Thus, the folders (compressed) are named according to the figure number in the manuscript.</p> <ul> <li>For the sake of convenience, the simulation data at intermediate dissolution stages was converted from Pace3D output format (*.phiindex.p3s and *.phi_crystal.p3s) to VTK data format, that can be visualized using open source software packages like Paraview. The VTK data files in each subfolder are also compressed (*.gz). For visualization, a decompression of the data is necessary (e.g. with gzip, 7zip).</li> <li>The animation videos of the simulations are also attached as a separate compressed file named Animation.zip.</li> </ul>
Data set of phase-field studies of permeability evolution in open fractures during precipitation and dissolution
<p>The numerical data in this repository consists of the simulation data of crystallization and dissolution processes in open fractures on microscale. The simulations were performed using the software package "Pace3D".</p> <p>The simulation data shows intermediate crystal growth and dissolution stages with fluid flow computations. The data was converted from Pace3D output data format to VTK data format. The VTK files can be visualized using open source software packages like Paraview. The data files in the zip-folders are also compressed (file format *.xz). For visualization the data has to be decompressed with e.g. xz or 7zip.</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.