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26 results for “TEM data”
TEM Data on Strontium-deficient SrxCoO2–CoO2 nanotubes
<p>Raw data ((scanning) transmission electron microscopy images, diffraction patterns and EDX/EELS spectra) obtained for work on Strontium-deficient SrxCoO2–CoO2 nanotubes as a high ampacity and high conductivity material published in Materials Horizons</p>
Data-Mining of In-Situ TEM Experiments: Towards Understanding Nanoscale Fracture
<p>Datasets for the publication in the "Computational Materials Science". This is essentially a snapshot of the gitlab repository https://gitlab.com/computational-materials-science/public/publication-data-and-code/2022-data-mining-of-in-situ-tem-experiments that might contain additional updates and scripts. A version of the manuscript can also be found at https://arxiv.org/abs/2206.11355</p>
TEM_Data_AEK-1
<p>TEM data on the neutron irradiated RPV base metal steel AEK-1, from the LONGLIFE Project, for the ENTENTE Database. </p>
Supplementary material for the publication: Deep Learning of Crystalline Defects from TEM images: A Solution for the Problem of "Never Enough Training Data"
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Data related to: Simulated TEM imaging of a heavily irradiated metal
<p>Data set related to article "Simulated TEM imaging of a heavily irradiated metal"</p> <p>The data is the output of a simulation of single-crystal tungsten with periodic boundary conditions evolving under irradiation up to high dose (1 dpa). The simulation was done in LAMMPS, only every 100th snapshot in LAMMPS Dump format is uploaded here. A frame corresponds to a dose increment of 0.000167 dpa, i.e. frame 1000 corresponds to a dose of 0.167 dpa. The files are zipped. A finer resolution can be supplied upon request.</p> <p>The simulations were performed for the article: <a href="https://doi.org/10.1103/PhysRevMaterials.6.063601" target="_blank" rel="noopener">10.1103/PhysRevMaterials.6.063601</a>, where more details on the simulations are found. The data is here made available for the article: <a href="https://doi.org/10.48550/arXiv.2401.14781" target="_blank" rel="noopener">10.48550/arXiv.2401.14781</a>.</p> <p>The TEM simulation software is available at: <a href="https://github.com/mason-daniel/simulated_tem">https://github.com/mason-daniel/simulated_tem</a>.</p>
A Deep Learning Approach for TEM Data Denoising, Inversion and Uncertainty Analysis with Monte Carlo Dropout
<p>This dataset includes the code and data for training the inversion network used in the study. The provided files cover data loading, preprocessing, and network training for transient electromagnetic (TEM) data inversion. For details on the included files and instructions on usage, please refer to the README.txt file.</p>
Histological and TEM data: A major ecological niche of eosinophils in evolving Schistosoma granulomas challenges the eosinophil view as “helminth killer” cells
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Cast Al-Si-Mg alloy TEM data
<p>Data from publication.</p> <p>Hardness, conductivity, EBSD and TEM.</p>
Data for "Functional Dynamics of Substrate Recognition in TEM Beta-Lactamase"
<p>Molecular dynamics data associated with the publication: "Functional Dynamics of Substrate Recognition in TEM Beta-Lactamase"</p> <p>Trajectores were generated in GROMACS, and the carbon alpha coordinates were extracted and aligned with the JEDi analysis software. Details of the simulations and analysis are given in the publication.</p> <p>Data in apo.zip contains trajectories for 32 total trajectories of TEM-1, TEM-2, TEM-10, and TEM-52 beta-lactamase, each starting form different 8 crystal structures</p> <p>Data in holo.zip contains 16 trajectories of TEM-1, TEM-2, TEM-10, and TEM-52 beta-lactamase in complex with ampicillin, amoxicillin, cefotaxime, and ceftazidime each.</p> <p>Trajectories files are in comma delimited format, with rows representing degrees for freedom (789 total), and columns representing samples (10000 per trajectory file).</p> <p>Supervised Projective Learning for Orthogonal Completeness (SPLOC) software for analysis as performed in the publication can be found at: https://github.com/BioMolecularPhysicsGroup-UNCC/MachineLearning/tree/master/SPLOC </p>
Dataset for "Data-Mining of In-Situ TEM Experiments: Towards Understanding Nanoscale Fracture"
<p>Dataset accompanying the publication "Data-Mining of In-Situ TEM Experiments: Towards Understanding Nanoscale Fracture"</p>
Data and code for "Symmetries in TEM imaging of crystals with strain"
<p>Code and data related to manuscript "On Symmetries in TEM imaging of crystals with strain",<br> arXiv preprint arXiv:2206.01689. To be published in Proc. Royal. Soc. A</p> <p> </p>
Dynamic loading of human engineered heart tissue enhances contractile function and drives a desmosome-linked disease phenotype (TEM data)
<p>This is the TEM imaging data for the desmosome analysis as reported in the manuscript titled "Dynamic loading of human engineered heart tissue enhances contractile function and drives a desmosome-linked disease phenotype."</p>
Net primary production, heterotrophic respiration, and net ecoystem production out from TEM outputs compared with Tower data: 1899 - 2100
Net primary production, heterotrophic respiration, and net ecoystem production out from TEM outputs compared with Tower data: 1899 - 2100.
CO2_Tem_Data
<p>Datasets downloaded from the CT2017 research project of NOAA.</p>
Data from: Unraveling the causes of adaptive benefits of synonymous mutations in TEM-1 β-lactamase
While synonymous mutations were long thought to be without phenotypic consequences, there is growing evidence they can affect gene expression, protein folding and ultimately the fitness of an organism. In only a few cases have the mechanisms by which synonymous mutations affect the phenotype been elucidated. We previously identified 48 mutations in TEM-1 β-lactamase that increased resistance of Escherichia coli to cefotaxime, 10 of which were synonymous. To better understand the molecular mechanisms underlying the beneficial effect of synonymous mutations, we made a series of measurements for a panel containing the 10 synonymous together with 10 non-synonymous mutations as a reference. Whereas messenger levels were unaffected, we found that total and functional TEM protein levels were higher for 5 out of 10 synonymous mutations. These observations suggest that some of these mutations act on translation or a downstream process. Similar effects were observed for some small-benefit non-synonymous mutations, suggesting a similar causal mechanism. For the synonymous mutations, we found that the cost of resistance scales with TEM protein levels. A resistance landscape for four synonymous mutations revealed strong epistasis: None of the combinations of mutations exceeded the resistance of the largest-effect mutation and there were synthetically neutral combinations. By considering combined effects of these mutations, we could infer that functional TEM protein level is a multi-dimensional phenotype. These results suggest that synonymous mutations may have beneficial effects by increasing the expression of an enzyme with low substrate activity, which may be realized via multiple, yet unknown, post-transcriptional mechanisms.
dm4 data for TEM
<p>The TEM data in dm4 format of 1d nanostrucutres</p>
TEM data for Adachi et al
<p>TEM and OPC data for Adachi et al.</p>
Data from: Role of pleiotropy during adaptation of TEM-1 β-lactamase to two novel antibiotics
Pleiotropy is a key feature of the genotype–phenotype map, and its form and extent have many evolutionary implications, including for the dynamics of adaptation and the evolution of specialization. Similarly, pleiotropic effects of antibiotic resistance mutations may affect the evolution of antibiotic resistance in the simultaneous or fluctuating presence of different antibiotics. Here, we study the role of pleiotropy during the in vitro adaptation of the enzyme TEM-1 β-lactamase to two novel antibiotics, cefotaxime (CTX) and ceftazidime (CAZ). We subject replicate lines for four rounds of evolution to selection with CTX and CAZ alone, and in their combined and fluctuating presence. Evolved alleles show positive correlated responses when selecting with single antibiotics. Nevertheless, pleiotropic constraints are apparent from the effects of single mutations and from selected alleles showing smaller correlated than direct responses and smaller responses after simultaneous and fluctuating selection with both than with single antibiotics. We speculate that these constraints result from structural changes in the oxyanion pocket surrounding the active site, where accommodation of CTX and the larger CAZ is balanced against their positioning with respect to the active site. Our findings suggest limited benefits from the combined or fluctuating application of these related cephalosporins for containing antibiotic resistance.
Data from: Unraveling the causes of adaptive benefits of synonymous mutations in TEM-1 β-lactamase
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Data from: Increased gene dosage plays a predominant role in the initial stages of evolution of duplicate TEM-1 beta lactamase genes
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