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3,576 results for “strain”
Strain fields in twisted bilayer graphene: Dataset 8 of 19
<p>See supplemental materials of Kazmierczak & Van Winkle et al for more information.</p> <p>20200616_8.h5 : dataset s2-8 corresponding to mean angle of 0.7534</p>
Strain fields in twisted bilayer graphene: Dataset 3 of 19
<p>See supplemental materials of Kazmierczak & Van Winkle et al for more information.</p> <p>02262020_18.h5 : dataset s2-10 corresponding to mean angle of 0.1355</p>
Strain fields in twisted bilayer graphene: Dataset 7 of 19
<p>See supplemental materials of Kazmierczak & Van Winkle et al for more information.</p> <p>20200616_24.h5 : dataset s2-24 corresponding to mean angle of 1.3178</p> <p>20200616_25.h5 : dataset s2-25 corresponding to mean angle of 1.3468</p> <p>20200616_26.h5 : dataset s2-26 corresponding to mean angle of 1.3259</p>
Strain fields in twisted bilayer graphene: Dataset 2 of 19
<p>See supplemental materials of Kazmierczak & Van Winkle et al for more information.</p> <p>02262020_10.h5 : dataset s1-10 corresponding to mean angle of 0.6272</p> <p>02262020_5.h5 : dataset s1-5 corresponding to mean angle of 1.2343</p> <p>02262020_8.h5 : dataset s1-8 corresponding to mean angle of 1.3672</p>
Strain fields in twisted bilayer graphene: Dataset 15 of 19
<p>See supplemental materials of Kazmierczak & Van Winkle et al for more information.</p> <p>20200616_14.h5 : dataset s2-14 corresponding to mean angle of 0.16</p>
Strain fields in twisted bilayer graphene: Dataset 1 of 19
<p>See supplemental materials of Kazmierczak & Van Winkle et al for more information.</p> <p>02262020_1.h5 : dataset s1-1 corresponding to mean angle of 0.3619, cropped region {[10,100],[100,190]} corresponding to mean angle of 0.3991</p> <p>02262020_2.h5 : dataset s1-2 corresponding to mean angle of 1.0325</p> <p>02262020_4.h5 : dataset s1-4 corresponding to mean angle of 1.2276</p> <p> </p> <p> </p>
Strain fields in twisted bilayer graphene: Dataset 13 of 19
<p>See supplemental materials of Kazmierczak & Van Winkle et al for more information.</p> <p>20200616_30.h5 : dataset s2-30 corresponding to mean angle of 0.8442</p> <p> </p>
Strain fields in twisted bilayer graphene: Dataset 5 of 19
<p>See supplemental materials of Kazmierczak & Van Winkle et al for more information.</p> <p>20200616_10.h5 : dataset s2-10 corresponding to mean angle of 0.6385</p> <p>20200616_11.h5 : dataset s2-11 corresponding to mean angle of 0.6543</p> <p>20200616_15.h5 : dataset s2-15 corresponding to mean angle of 0.16</p>
Strain fields in twisted bilayer graphene: Dataset 9 of 19
<p>See supplemental materials of Kazmierczak & Van Winkle et al for more information.</p> <p>02262020_7.h5 : dataset s1-7 corresponding to mean angle of 0.3132</p>
Strain fields in twisted bilayer graphene: Dataset 14 of 19
<p>See supplemental materials of Kazmierczak & Van Winkle et al for more information.</p> <p>02262020_26.h5 : dataset s1-26 corresponding to mean angle of 0.2609</p>
Data for "Investigation of local strain rate sensitivity in dual-phase Ti alloys by nanoindentation"
<p>Data for "Investigation of local strain rate sensitivity in dual-phaes Ti alloys by nanoindentation"</p> <p>Tea-Sung Jun1, David E.J. Armstrong2 and T. Benjamin Britton1<br /> 1. Department of Materials, Imperial College London, Prince consort Road, London, SW7 2AZ, UK<br /> 2. Department of Materials, University of Oxford, Parks Road, Oxford, OX1 3PH, UK</p> <p>--</p> <p>This nanoindentation data folder contains 3 subfolders:<br /> (1) Raw indentation data obtained from TestWorks<br /> (2) Data for Figure 4<br /> (3) Data for Figure 5</p> <p>--</p> <p>In the subfolder (1), each file name indicates Material_Grain orientation_Indentation strain rate (e.g. 6242_H_0001). <br /> For the subfolders (2) and (3), readers can plot the graphs either using Excel, OriginPro or other software. <br /> Note that we used the OriginPro to generate all the graphs in this article.</p> <p>--</p> <p>If readers need further information, please feel free to contact: t.jun@imperial.ac.uk or terryjun83@gmail.com (Tea-Sung (Terry) Jun)</p>
Data for "Local strain rate sensitivity of single α phase within a dual-phase Ti alloy"
<p>Data for "Local strain rate sensitivity of single a phase within a dual-phase Ti alloy"</p> <p>Tea-Sung Jun, Zhen Zhang, Giorgio Sernicola, Fionn P.E. Dunne and T. Benjamin Britton<br /> Department of Materials, Imperial College London, Prince consort Road, London, SW7 2AZ, UK</p> <p>--</p> <p>This micropillar compression data folder contains 6 subfolders:<br /> (1) Micropillar compression videos<br /> (2) Data for Figure 6<br /> (3) Data for Figure 7<br /> (4) Data for Figure 10<br /> (5) Data for Figure 11<br /> (6) Data for Figure 12</p> <p>--</p> <p>In the subfolder (1), each file name indicates 'Pillar name (Slip system, Strain rate)', e.g. Pillar 1 (Basal, 0.01). <br /> For the subfolders (2) ~ (6), readers can plot the graphs either using Excel, OriginPro or other software. <br /> Note that we used the OriginPro to generate all the graphs in this article.</p> <p>--</p> <p>If readers need further information, please feel free to contact: t.jun@imperial.ac.uk or terryjun83@gmail.com (Tea-Sung (Terry) Jun)</p>
Clonal relationship of ESBL-producing Salmonella strains from humans and poultry in North-Eastern Algeria
<p>BVET-D-16-00240</p> <p>A study was conducted to determine antibiotic resistance levels and patterns, and to assess the relationship of avian drug-resistant Salmonella to human clinical isolates in Algéria.</p>
data set of microscale strain for creep of Carrara marble
<p>Data set used for the construction of all microscale strain maps of creep of Carrara marble. The data is stored in Matlab structures (.mat files) and contains all markers coordinates as well as deformation tensors for a 9n point average (for more details see: Quintanilla-Terminel, A., and B. Evans (2016), Heterogeneity of inelastic strain during creep of Carrara marble: Microscale strain measurement technique, J. Geophys. Res. Solid Earth, 121, 5736–5760).</p>
Strain and slip data for Kinematic inversion of fault slip during the nucleation of laboratory earthquakes
<p>The file contains the timeseries of strain and average slip obatined from a 8 gauges array used to monitor an injection experiment on a saw-cut centimetric scale sample loaded in a triaxial cell, under 30 MPa, 60 MPa and 90 MPa of confining stress.</p>
Experimental and simulation results of cure-induced strains for a cure study of an conventional epoxy resin
<p>Datasets of a number of case studies were investigated experimentally in an unconstrained setup. monitoring the temperature development and cure-induced shrinkage of an epoxy thermoset. Simulations using a 2D finite element thermomechanical model are used to elaborate on the thermal behaviour as well as the cure-induced strains seen experimentally for the cases provided. </p> <p>Please cite this folder of shared data and scripts alongside the original publication: <a href="https://doi.org/10.3390/polym16172435">doi.org/10.3390/polym16172435</a></p> <p>Cure cases published:</p> <p>C1 - [40_L]80_L</p> <p>C2 - [50_L]80_L</p> <p>C3 - [50_M]80_M</p> <p>C4 - [50_S70_S]80_M</p> <p>C5 - [50_S60_M]80_M</p> <p>C6 - [50_S60_L]80_M</p> <p>C7 - [50_S30_S]80_M</p> <p>C8 - [50_S30_M]80_M</p> <p> </p> <p>Model file: 1D_CASH.cae - This file contains the model with FE mesh and BC</p> <p>Python script: CASH_1D.py - This file contains the scripting, linking the cure profile with the model and other modifications necessary. The model calls the immediately important state-dependent variables (SDV) to the .odb file. The script then analyses the results from relevant nodal values and saves as an '_FEA_data.csv' file. </p> <p>CKP2_Submit.sh - Shell script for submitting jobs on a remote cluster if necessary. </p> <p> </p>
Data from: A pioneering experimental investigation of a novel in-situ dynamic characterization of the tensile/compression stress-strain mechanism on human plantar soft tissue
<p><span>We have conducted the first in-situ and in-vivo dynamic mechanical test on human plantar soft tissue. A dynamic mechanical analysis (DMA)-like device has been invented to perform the in-situ and in-vivo stress-strain tests on living plantar in order to characterize the material mechanism of biological soft tissue, whereas it is nearly impossible to prepare a sample from a living body for classical tests. A series of pioneering tests of tensile/compression on the heel of ten volunteers are reported, with the reference of tests on mimic foot model made by silicon rubber, standard silicon rubber brick sample, and finite elementary analysis. In addition to demonstrating the effectiveness of the device and approach, interesting correlations between the results and clinic data were found, suggesting considerable potential for the invention in future research.</span></p>
Analysis of heme and iron influence on Porphyromonas gingivalis A7436 and ATCC 33277 strains genes expression (microarray results)
<p>The aim of this study was to analyze phenotypic differences between <i>P. gingivalis</i> more virulent A7436 and less virulent ATCC 33277 (33277) strains. The analysis comprised the influence of heme and iron on <i>P. gingivalis</i> gene expression. </p><p><i>P. gingivalis</i> A7436 and 33277 strains were cultured in basal medium (3% trypticase soy broth and 0.5% yeast extract), supplemented with 3.6 mM L-cysteine hydrochloride, and 0.5 mg/l menadione, in anaerobic conditions (80% N2, 10% H2 and 10% CO2). To generate heme and iron-limited conditions, the medium was supplemented with 0.16 mM of the iron chelator 2,2-dipyridyl (DIP conditions). To generate heme and iron-rich conditions, the medium was supplemented with 0.0077mM hemin chloride (Hm conditions). Three sample replicates of A7436 and 33277 strains were grown in Hm or DIP conditions for 20 hours. RNA isolation and microarray analysis were performed in IMGM laboratories (Martinsried, Germany), as described by Śmiga et al. (2023).</p><p>The online tool eArray (http://earray.chem.agilent.com/; Agilent Technologies, Santa Clara, CA, USA) was used to design an Agilent Custom <i>Porphyromonas gingivalis</i> A7436 Gene Expression Microarray (8×15K format). Probes were prepared based on <i>P. gingivalis</i> transcriptome information derived from the NCBI reference sequence NZ_CP011995.1. Total RNA isolation, RNA quantity, and quality were determined as described by Curaszkiewicz et al. 2014. For internal labeling control, the total RNA was spiked with <i>in vitro </i>synthesized polyadenylated transcripts (One-Color RNA Spike-In Mix; Agilent Technologies). Subsequently, samples were reverse transcribed into cDNA and then converted into cyanine-3-labeled complementary RNA (cRNA) with Low Input Quick-Amp Labeling Kit One-Color (Agilent Technologies). For microarray hybridization, a Gene Expression Hybridization Kit (Agilent Technologies) was used. Labeled cRNA was hybridized for 17 hours at 65℃ on Agilent Custom GE 8×15K Microarrays, washed according to the manufacturer's protocol, and dried with acetonitrile (Sigma-Aldrich). The fluorescence of samples was detected with Scan Control A.8.4.1 software (Agilent Technologies) on the Agilent DNA Microarray Scanner (Agilent Technologies) and extracted from the images using Feature Extraction 10.7.3.1 software (Agilent Technologies). For data analysis, Feature Extraction 10.7.3.1 (Agilent Technologies), GeneSpring GX 13.1.1 (Agilent Technologies), and Excel 2010 (Microsoft, Redmond, WA, USA) were used. For statistical analysis, Welch's approximate <i>t</i>-test was used. Differences in gene expression are shown as fold change values (FC). The average was calculated from the normalized signal values and they were transformed from the log2 to the linear scale. Increases and decreases in gene expression are shown as positive and negative numbers, respectively. The fold change in gene expression was considered significant for FC ≥ 2 or FC ≤ -2 and <i>P</i>-value ≤ 0.05</p><ul><li>Ciuraszkiewicz J, Śmiga M, Mackiewicz P, Gmiterek A, Bielecki M, Olczak M, Olczak T. 2014. Fur homolog regulates <i>Porphyromonas gingivalis </i>virulence under low-iron/heme conditions through a complex regulatory network. Mol Oral Microbiol 29:333-353. doi: 10.1111/omi.12077.</li><li>Śmiga M, Ślęzak P, Olczak T. 2023. Comparative analysis of <i>Porphyromonas gingivalis</i> A7436 and ATCC 33277 strains reveals differences in the expression of heme acquisition systems. Microbiol Spectr (revised manuscript under revision).</li></ul>
Surface Strain Data and Principal Component Analysis from Crystal Plasticity Simulations
<p>This is a dataset of surface strain data along y-z surfaces during tensile loading along the x direction of polycrystalline Al samples. Surface strain data are recorded during periodic intervals. Principal component analysis is implemented on the loading sequences.</p>
Genome Database: Turnover of strain-level diversity modulates functional traits in the honeybee gut microbiome between nurses and foragers
<p>This repository contains the dataset used in the publication "Turnover of strain-level diversity modulates functional traits in the honeybee gut microbiome between nurses and foragers," which is currently under revision. A pre-print can be found <a href="https://doi.org/10.1101/2022.12.29.522137">here</a>. The database is based on previously published work to create a genomic database of honeybee gut microbes by Kirsten Ellegaard (2021), found <a href="https://zenodo.org/records/4661061">here.</a></p><p>The zipped folder deposited here after unzipping, should contain the following files and directories:</p><ul><li>honeybee_genome.fasta : fasta file containing the host (<i>Apis mellifera</i>) genome sequence</li><li>beebiome_db : fasta file of 198 concatenated genomes with one genome per entry (multi-line fasta) where the headers represent the genome identifier</li><li>beebiome_red_db : fasta file of 39 species representative genomes with one genome per entry (multi-line fasta) where the headers represent the genome identifier to be used for the analysis of intra-specific variation</li><li>fna_files : directory containing genome sequence files and concatenated files where the concatenated files contain one fasta entry renamed to the genome identifier and all contigs concatenated into one entry</li><li>ffn_files : directory containing one file per genome listing the nucleotide sequence of all the predicted genes</li><li>faa_files : directory containing one file per genome listing the amino acid sequence of all the predicted genes</li><li>bed_files : directory containing bed files where the location of each of the predicted genes are indicated based on their position in the concatenated genome file</li><li>single_ortho : directory containing one file per phylotype listing all the single-copy orthogroups (OGs) identified by orthofinder where each line represents an OG id followed by a list of genes from each of the genomes of that phylotype that belong to that OG and the corresponding sequences of these genes can be found in the ffn file belonging to the respective genome</li><li>red_bed_files : directory containing bed files for species representative genomes that only list the positions genes that belong to the core orthogroups of their phylotype</li></ul><p>Further information about how this genome database was used to analyze strain-level diversity can be found in the publication and accompanying code repository.</p>
ScienceDex guides
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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.