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Dataset results
17 results for “solid mechanics”
Dataset for "From CO2 to Solid Carbon: Reaction Mechanism, Active Species, and Conditioning the Ce-Alloyed GaInSn Catalyst"
<p>Experimental raw data for the article "<em>From CO<sub>2</sub> to Solid Carbon: Reaction Mechanism, Active Species, and Conditioning the Ce-alloyed GaInSn Catalyst</em>", published in <em>Journal of Physical Chemistry C </em>(2024). DOI:10.1021/acs.jpcc.4c05482.</p> <p>The data set is organized according to the publication's figures. XPS data given here is the raw data without binding energy calibration. For the manuscript, binding energies in a series of samples were calibrated by taking the strongest peak, where no chemical shift was to be expected, as a reference.</p>
Supplemental image data for "Mechanical annealing and memories in a disordered solid"
<p>This archive contains raw and subtracted experimental images of a 2D colloidal disordered solid, sufficient to verify the major qualitative results of the paper "Mechanical annealing and memories in a disordered solid" by Nathan C. Keim and Dani Medina. Descriptions of the images may be found in the main text and Supplementary Information for that paper, a preprint of which is available at arXiv.org.</p>
Simulation data of Schmidt et al., A three-dimensional finite element formulation coupling electrochemistry and solid mechanics on resolved microstructures of all-solid-state lithium-ion batteries, DOI: https://doi.org/10.1016/j.cma.2023.116468
<p>This data set includes the simulation results of the relevant simulations published in the paper: "Schmidt et al., A three-dimensional finite element formulation coupling electrochemistry and solid mechanics on resolved microstructures of all-solid-state lithium-ion batteries, DOI: https://doi.org/10.1016/j.cma.2023.116468".</p> <p>Please refer to the paper for the details of the model as well as the parameterization of the model for the respective simulations.</p> <p>The provided lzip archive is structured into separate folders, one per simulation. Each folder contains the output data and a short README.txt with further hints. For information on the compression algorithm and how to uncompress it lzip please refer to https://en.wikipedia.org/wiki/Lzip.</p>
Data sets for 'Mechanical Compliance of Individual Fractures in a Heterogeneous Rock Mass from Production-type Full-waveform Sonic Data', submitted to JGR: Solid Earth
<p>Synthetic and field FWS data sets are supplied for validation of proposed methods for compliance estimation of individual fractures. Each zip contains ‘ReadMe.txt ‘, which illustrates the files and corresponding parameters. More details about the setup in the submitted paper ‘Mechanical Compliance of Individual Fractures in a Heterogeneous Rock Mass from Production-type Full-waveform Sonic Data’.</p>
Unveiling the Mechanisms of Solid-State Dewetting in Solid Oxide Cells with Novel 2D Electrodes
<p>Supporting videos as a part of the Supplementary Material of the paper published by the Journal of Power Sources, Volume 420, 30 April 2019, Pages 124-133 doi: 10.1016/j.jpowsour.2019.02.068</p>
Simulation data of Schmidt et al., An Electro-Chemo-Mechanic Model Resolving Delamination between Components in Complex Microstructures of Solid-State Batteries, 2024, DOI: https://doi.org/10.1149/1945-7111/ad76dc
<p>This data set includes the simulation results of the relevant simulations published in the paper: "Schmidt et al., An Electro-Chemo-Mechanic Model Resolving Delamination between Components in Complex Microstructures of Solid-State Batteries, 2024, DOI: https://doi.org/10.1149/1945-7111/ad76dc".</p> <p>Please refer to the paper for the details of the model as well as the parameterization of the model for the respective simulations.</p> <p>The data is provided in a zip archive. After extracting you find a short README.txt with further hints on the structure and available data.</p>
Mechanical behaviour of inorganic solid-state batteries: Can we model the ionic mobility in the electrolyte with Nernst-Einstein's relation?
<p>(Top left) Governing forces given by Nernst-Einstein’s relationship, where the forward electric force is in a dynamic equilibrium with the backward viscous force. (Bottom left) The dynamic viscosity is a measure of the fluid resistance to flow. (Right) For brittle inorganic solid electrolytes characterised by cracks formation and electrolyte fracture, the stress-strain relationship before the electrolyte fracture can be approximated as linear.</p>
113Cd Solid-State NMR at 21.1 T Reveals the Local Structure and Passivation Mechanism of Cadmium in Hybrid and All-Inorganic Halide Perovskites
<p>Raw NMR data in Bruker Topspin format. Input and output files of the quantum mechanical calculations.</p>
Original data of electrochemical performace in "Chemo-Mechanical Failure Mechanisms of the Silicon Anode in Solid-State Batteries "
Open the record for dataset details and reuse information.
Data generated for the manuscript: "Increased 'selfness' in the tumor emerges as a possible immune scuplting mechanism: A pan-cancer data analysis of 32 solid tumors in TCGA"
<p>This submission has processed data generated for the manuscript: "Increased 'selfness' in the tumor emerges as a possible immune scuplting mechanism: A pan-cancer data analysis of 32 solid tumors in TCGA".</p> <p>The `data` folder contains processed information for the Human Protein Atlas (HPA) and The Cancer Genome Atlas (TCGA) datasets. The HPA data is found in `data/hpa` and contains gene ranks used to compute the thymus-likeness score (TLS) and files where the TLS has been calculated for the HPA tissues. The TCGA data can be found in `data/proc`, where individual RDS files have been given for each analyzed cohort. These RDS files contain the results of the cutoff scanning procedure mentioned in the manuscript and account for the bulk of the data generated for this study. RDS files can be loaded using the `readRDS` function in an R session. Other information used to create plots is in the `data` folder.</p> <p>The `plots` folder contain the result of plotting the entireity of the cutoff scanning procedure. The manuscript only contains plots for the 28 cohorts where a significant difference in terms of immune difference is observed, and that too, only the final heuristic plots. The `plots/tcga/immuneres` folder has plots at different levels: (i) single cell category/single deconvolution method with permutation tests (ii) single cell category/multiple deconvolution methods and (iii) significant cell categories/representative deconvolution method. Only (iii) is present in the manuscript. Overall, this folder should contain ~2000 plots.</p> <p>The code used to generate this study is deposited at: https://gitlab.com/narencs179/thymus-like-score</p>
Data for Performance-Portable Solid Mechanics via Matrix-Free p-Multigrid
<p>Data, scripts to make the figures, and tex source for the paper: https://arxiv.org/abs/2204.01722</p>
Data for "Mechanism of Solid-State 1H Photochemically Induced Dynamic Nuclear Polarization in a Synthetic Donor−Chromophore−Acceptor at 0.3 T"
<p>This data is associated with the publication "Mechanism of Solid-State 1H Photochemically Induced Dynamic Nuclear Polarization in a Synthetic Donor−Chromophore−Acceptor at 0.3 T" and contains the NMR and photo-CIDNP data discussed in the publication.</p>
Data Set for Sandanbata & Saito (submitted to JGR: Solid Earth) entitled "Quantifying magma overpressure beneath a submarine caldera: A mechanical modeling approach to tsunamigenic trapdoor faulting near Kita-Ioto Island, Japan"
<p><strong>Descriptions</strong></p> <p>This dataset contains supplementary materials for the manuscript submitted to Journal of Geophysical Research: Solid Earth; the preprint has been uploaded to ESS Open Archive:</p> <ul> <li>Osamu Sandanbata, and Tatsuhiko Saito, Quantifying magma overpressure beneath a submarine caldera:<br> A mechanical modeling approach to tsunamigenic trapdoor faulting near Kita-Ioto Island, Japan.</li> </ul> <p>We present a mechanical source model for the 2008 Kita-Ioto caldera earthquake. </p>
CRISPR screen identifies loss of IFNγR signaling and downstream adhesion as a resistance mechanism to CAR T-cell cytotoxicity in solid tumors
GEO Series GSE179147. Homo sapiens. 1 samples. Type: Other.
A Window of Opportunity Study to Investigate Mechanisms of Actions of Novel Therapeutic Agents in Patients With Resectable Solid Tumor Malignancies
ClinicalTrials.gov study NCT03471286. IPD Sharing: NO. Countries: 1. Publications: 0.
Improving FEM-Based Solid Mechanics Simulations for Ultrashort Pulse Laser Ablation by Integrating an Equation of State and Material Separation
<p>Simulation results (raw data), COMSOL simulation files and Python evaluation scripts for the publication entitled "Two-Temperature Solid Mechanics Model incorporating an Equation of State for Readily Accessible Ultrashort Pulse Laser Ablation Simulations".</p><p> </p><p>Descripton folders:</p><p>Example for nomenclature: SM-EOS_005_F075</p><p>- SM -> solid mechanics (comsol simulation)</p><p>- EOS -> simulation with parameters from EOS, respectively ISO -> simulation with iso-parameters</p><p>- 005 -> pulselength of 0.5 ps</p><p>- F075 -> Fluence: 0.75 * threshold fluence</p><p> </p><p>Structure .txt files:</p><p>- first 8 rows header</p><p>- delemiter = ','</p><p>- first column is the depth in nm, following columns are the Values of the parameter (each column = 0.1 ps time step)</p><p>- start time = 2 * pulselength, end time = 100 ps</p><p> </p><p>Values:</p><p>Electron Temperature T_EL.txt in kK</p><p>Lattice Temperature T_IO.txt in kK</p><p>Pressure P.txt in GPa</p><p>displacement.txt in nm</p><p>Density rho.txt in g/cc</p><p>phase.txt (1 = solid, 2 = solid+liquid, 3 = liquid, 4 = liquid+gas, 5 = gas, negative sign = metastable)</p><p>condTrans.txt (1 = solid and 0 = liquid)</p>
A Clinical Study on the Efficacy and Mechanism of Tumor Treatment Vaccine (TTV) for Recurrent and Refractory Advanced Solid Tumors
ClinicalTrials.gov study NCT05747339. IPD Sharing: Not stated. Countries: 0. Publications: 0.
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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.