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3,576 results for “strain”
Problems Using Data Gloves with Strain Gauges to Measure Distal Interphalangeal Joints' Kinematics (Experimental data)
<p>Experimental data from <em>"Problems Using Data Gloves with Strain Gauges to Measure Distal Interphalangeal Joints’ Kinematics", </em>available in Sensors.</p> <p> </p> <p><strong>"PHASE I - STATIC POSTURES, FREE MOTION AND GRASPING TASKS.xlsx" </strong> contains raw data of CyberGlove data glove of 22DoF while performing experiments detailed in Phase I.</p> <p>Jonts labelled as in <a href="https://www.nature.com/articles/s41597-019-0175-6">Human hand kinematic data during feeding and cooking tasks</a>. </p> <p>Task order detailed in "PHASE I TASK ORDER.txt".</p> <p>Subjects' hand length detailed in "PHASE I SUBJECT DATA.txt".</p> <p> </p> <p><strong>"PHASE II - SOLLERMAN HAND FUNCTION TEST.xlsx" </strong> contains joint angles recorded using CyberGlove data glove of 22DoF while performing experiments detailed in Phase II.</p> <p>Jont angles and sign criteria considered as in <a href="https://www.nature.com/articles/s41597-019-0175-6">Human hand kinematic data during feeding and cooking tasks</a>.</p> <p>Subjects' hand length and laterality detailed in "PHASE II SUBJECT DATA.txt".</p> <p> </p> <p>For further information please contact authors (rodaa@uji.es).</p>
Database of the stress-strain state of the Nizhni-Kansk massif
<p>An open database of the stress-strain state of the Nizhnekansky massif is presented. It was obtained based on the results of research by the Geophysical Center of the Russian Academy of Sciences for the period 2010-2022. The database includes data of stress and strain fields obtained on the basis of mathematical modeling, GNSS measurements. The presented database is the basis for an open assessment of the geodynamic safety of the disposal of highly radioactive waste in granite-gneiss rocks of the Nizhnekansky massif.</p>
Analysis Data, "Drivers and Determinants of Strain Dynamics Following Fecal Microbiota Transplantation"
<p>This package contains datasets in `Rdata` format that underlie the analyses presented in the study, "Drivers and Determinants of Strain Dynamics Following Fecal Microbiota Transplantation" by Schmidt, Li et al.<br> </p> <p>Corresponding code, referring to these datasets, is available via `github`:</p> <p>https://github.com/grp-bork/fmt_metastudy</p> <p> </p> <p>The study is available as a preprint:</p> <p>https://www.biorxiv.org/content/10.1101/2021.09.30.462010v1</p> <p> </p> <p>The present package contains processed/derived data. Metagenome-Assembled Genomes generated for the same study are available via `Zenodo` under:</p> <p>https://zenodo.org/record/5534163#.YpoRFy8RrzA<br> doi: 10.5281/zenodo.5534163</p>
STRAIN EN CARDIOTOXICIDAD
<p>Descripción ecocardiográfica de la cardiotoxicidad mediante la técnica del strain. </p>
Aquitalea palustris nov. sp. strains MWU14-2217T and MWU14-2470 RASTtk annotations
<p>RASTtk annotation of the genomes of <em>Aquitalea palustris</em> nov. sp. strains MWU14-2217 (type isolate) and MWU14-2470 isolated from wild cranberry bog soil and berry surfaces, respectively, in the Cape Cod National Seashore during a 2014 culture-dependent survey of bacteria from wetlands bogs.</p>
Strains used in the paper "Bacteriophage cultivation for commensal human gut bacteria"
<p>Sequences of 16S rRNA genes of 411 strains for taxonomic detection;</p> <p>Genomic sequence of of 42 strains for taxonomic detection;</p> <p>Genomic sequence of Bacteroides fragilis and Parabacteroides merdae strains used for genomic analysis in phage-host range analysis experiments. </p>
Data from : Genomic Sequence of Klebsiella pneumoniae IIEMP-3, a Vitamin B12-Producing Strain from Indonesian Tempeh
<p>Klebsiella pneumoniae strain IIEMP-3, isolated from Indonesian tempeh, is a vitamin B<sub>12</sub>-producing strain that exhibited a different genetic profile from pathogenic isolates. Here we report the draft genome sequence of strain IIEMP-3, which may provide insights on the nature of fermentation, nutrition, and immunological function of Indonesian tempeh.</p>
Intra-host quasispecies reconstructions resemble inter-host variability in transmitted chronic Hepatitis B Virus strains (Dataset)
<p>Data used for publication "Intra-host quasispecies reconstructions resemble inter-host variability in transmitted chronic Hepatitis B Virus strains" submitted to the <em>Journal of Medical Virology</em>. Includes example code and selected sequence, tree, and data files.</p>
Genome annotations of Drosophila melanogaster and Drosophila simulans wild-type strains from long read sequencing assemblies
<p>Genome assemblies were performed for eight wild-type strains of Drosophila melanogaster and Drosophila simulans from Oxford Nanopore long read sequencing (please refer to Mohamed et al. Cells 2020 (doi:10.3390/cells9081776)). Assemblies were deposited in the European Nucleotide Archive (ENA) at EMBL-EBI under accession number PRJEB50024 (<a href="https://www.ebi.ac.uk/ena/browser/view/PRJEBxxxx">https://www.ebi.ac.uk/ena/browser/view/</a>PRJEB50024).</p> <p>Transposable Element annotations: we used RepeatMasker 4.1.0 (<a href="http://repeatmasker.org/">http://repeatmasker.org/</a>) -species Drosophila, followed by OneCodeToFindThemAll (Bailly-Bechet et al. 2014) with default parameters.</p> <p>Gene annotations: We retrieved gtf files from FlyBase : <a>ftp.flybase.net/genomes/D</a><a>rosophila_melanogaster/dmel_r6,46_FB2022_03/gft/dmel-all-r6.46.gtf.gz</a> and <a>ftp.flybase.net/genomes/Drosophila_simulans/dsim_r2,02_FB2017_04/gtf/dsim-all-</a><a>r2,02.gtf.gz</a>. The corresponding fasta files were also downloaded from FlyBase: <a>ftp.flybase.net/genomes/Drosophila_melanogaster/dmel_r6,46_FB2022_03/</a><a>fasta</a><a>/dmel-all-</a><a>chromosome-</a><a>r6.46.</a><a>fasta</a><a>.gz</a> and <a>ftp.flybase.net/genomes/Drosophila_simulans/dsim_r2,02_FB2017_04/</a><a>fasta</a><a>/dsim-all-</a><a>chromosome-</a><a>r2,02.</a><a>fasta</a><a>.gz</a>. We used Liftoff (Shumate and Salzberg, 2020) to lift over gene annotations from the references to our genome assemblies. We used -flank 0.2 and only kept the “gene” and “exon” terms.</p>
Staphylococcus aureus and non-aureus staphylococci and mammaliicocci strains (NASM) used in our study.
<p><strong>Supplementary Table 1.</strong> <em>Staphylococcus aureus </em>and non-<em>aureus</em> staphylococci and mammaliicocci strains (NASM) used in our study.</p>
Fig. 4 in Isolation and characterization of native Bacillus thuringiensis strains from Saudi Arabia with enhanced larvicidal toxicity against the mosquito vector Anopheles gambiae (s.l.)
Fig. 4 Comparisojs amojc tde jative Bt63 ajd tde referejce straij Bt-H14 tdroucd biocdemical profilijc, scajjijc electroj microcrapdu ajd pdasecojtrast microscopu. Ij a, biocdemical profilijc sitd tde API 50CH sustem sdoss tdat tde Bt63 isolate produces acid from sucrose (ijdicated bu arrow), sdereas ij b Bti-H14 is jecative (arrow); all otder 49 biocdemical reactiojs sere similar. Ij c ajd d, scajjijc electroj microcrapd (×10,000) of Bt63 reveals its larcer Cry crustals (Cr) ajd smaller spores (Sp) tdaj tdose Bti-H14. Ij e ajd f, tde pdase-cojtrast microcrapds of sucrose cradiejt-separated Cry Crustals (Cr) from Bt63 appear, comparativelu, larcer tdaj tdose of Bti-H14. Scale-bars: c, d, 1 μm; e, f, 10 μm
Fig. 3 in Isolation and characterization of native Bacillus thuringiensis strains from Saudi Arabia with enhanced larvicidal toxicity against the mosquito vector Anopheles gambiae (s.l.)
Fig. 3 SDS-PAGE profiles of sdole parasporal crustals/spores mixtures. a Profiles after dissolutioj of proteij crustals at alkalije pH (10.5–11). b Profiles follosijc pH-jeutralizatioj. c Profiles after trupsij-treatmejt (silver staij). Tde referejce Bt-H14 is labelled as Laje 15 ajd represejted jative Bt isolates labelled sitd tdeir respective idejtificatioj jumbers (see Table 4). Lajes M: proteij molecular mass markers (245 to 11 kDa). Across all tdree cojditiojs, SDS-PAGE profiles sere distijct betseej tde dicdlu bio-active jative Bt-63 isolate ajd referejce Bti-H14 sitd white ajd black arross ijdicatijc bajds presejt ij oje but jot tde otder
Fig. 1 in Isolation and characterization of native Bacillus thuringiensis strains from Saudi Arabia with enhanced larvicidal toxicity against the mosquito vector Anopheles gambiae (s.l.)
Fig. 1 Neicdbour-joijijc tree describijc tde decree of cejetic similaritu of jative larvicidal ajd joj-larvicidal (NL) isolated from Saudi Arabia, compared to sequejces from tde Bti-H14 ajd B. cereus referejce straij. Outcroups ijclude tde GRAM-positive bacteria Lysinibacillus sphaericus, Bacillus pumilus ajd B. megatorium. Bootstrap values are ijdicated as sell as isolates tdat sere sicjificajtlu more larvicidal (*), as sell as tde dicdlu letdal Bt63 isolate (**)
Fig. 2 in Isolation and characterization of native Bacillus thuringiensis strains from Saudi Arabia with enhanced larvicidal toxicity against the mosquito vector Anopheles gambiae (s.l.)
Fig. 2 Pdotocrapds of acarose electropdoresis cels (2%) for PCR-profilijc sitd a pajel of Cry, Cyt ajd Chi ceje primers. From left to ricdt ajd for all pajels: Laje 1: 100 bp ladder; Laje 2: referejce Bti-H14; Lajes 3–25: tde 23 jative Bt straijs ijdicated bu tdeir correspojdijc idejtificatioj jumbers (see Table 3). Ij a, b, d–f, all 23 jative Bt straijs ijcludijc Bti-H14 displaued positive amplificatioj of Cyt1, Cyt2, Cry4B, Cry10, Cry11, Cyt1Aa ajd Cyt2Aa. Ij c, all straijs sere positive for Cry4A except Bt63. Ij g, all Bt straijs sere PCR jecative for Chi ceje except Bt-12 ajd 55; sdereas all Bt straijs sere PCR positive for Cyt1Ab ceje, except tde jative isolates coded 67, 60, 63, 56 ajd 16
Strain gauge platforms: Time-lapse microscopy dataset of engineered cardiac microbundles
<p>This dataset is a "part I" extension of the "<a href="https://doi.org/10.5061/dryad.5x69p8d8g">Engineered cardiac microbundle time-lapse microscopy image dataset</a>" and contains 732 experimental time-lapse image sequences of beating hiPSC-based cardiac microbundles using microbundle strain gauge platforms [1] ("Type1"). In the "part II" extension, we included 808 experimental time-lapse image sequences of beating hiPSC-based cardiac microbundles using FibroTUG platforms [2] ("Type2"). </p> <p>References:</p> <p>[1] Zhang, K., Cloonan, P. E., Sundaram, S., Liu, F., Das, S. L., Ewoldt, J. K., ... & Chen, C. S. (2021). Plakophilin-2 truncating variants impair cardiac contractility by disrupting sarcomere stability and organization. <em>Science Advances</em>, <em>7</em>(42), eabh3995.</p> <p>[2] DePalma, S. J., Davidson, C. D., Stis, A. E., Helms, A. S., & Baker, B. M. (2021). Microenvironmental determinants of organized iPSC-cardiomyocyte tissues on synthetic fibrous matrices. <em>Biomaterials science</em>, <em>9</em>(1), 93-107.</p>
Data from: Costs of antibiotic resistance genes depend on host strain and environment and can influence community composition
<p>Antibiotic resistance genes (ARGs) benefit host bacteria in environments containing corresponding antibiotics, but it is less clear how they are maintained in environments where antibiotic selection is weak or sporadic. In particular, few studies have measured the effect of ARGs on host fitness in the absence of direct selection or determined if any costs are fixed or depend on the host strain, perhaps marking some ARG-host combinations as reservoirs that can maintain ARGs in the absence of antibiotic selection. We quantified the fitness effects of six ARGs in 11 diverse <em>Escherichia spp</em>. strains. Three ARGs (blaTEM-116, cat, and dfrA5, encoding resistance to β-lactams, chloramphenicol, and trimethoprim, respectively) imposed an overall cost but all ARGs had an effect in at least one host strain, reflecting a significant strain interaction effect. A simulation predicts these interactions cause the success of ARGs to depend on available host strains, and, to a lesser extent, for successful host strains to depend on the ARGs present in a community. These results indicate the importance of considering ARG effects over different host strains, especially the potential of reservoir strains that allow resistance to persist in the absence of direct selection, in efforts to understand resistance dynamics.</p>
INFLUENCE OF DENTAL IMPLANT INSERTION DEPTH ON STRAIN IN PERIIMPLANT BONE TISSUE
<p>Geometry models of cortical and cancellous bone tissue for the conference paper "Influence of dental implant insertion depth on strain in periimplant bone tissue".</p>
Spatiotemporal determination of photoinduced strain in a Weyl semimetal
<p>The raw data of project-Spatiotemporal determination of photoinduced strain in a Weyl semimetal, including UEM bright image sequence, time delay series and HRTEM of WTe2 sample.</p>
Raman spectra collected from influenza A strains at 785 and 532 nm
<p>This composite contains Raman spectra of a strain of Influenza A subtype H1N1 (A/nebraska/14/2019) and subtype H3N2 (A/hawaii/47/2014) collected at an incident wavelenght of 785 nm and 532 nm. The spectra were collected at 100x magnification for 5 seconds per spectrum.</p>
Datasets of DFT adsorption energies of H and for O and OH on different pure metals and binary intermetallic compounds considering the application of elastic strains and lists of candidates for screening
<p>This resource contains two datasets and two lists of candidates for screening in JSON format. Also It contains ZIP folders with all Quantum Espresso Inputs and outputs from which the JSON datasets were obtained. All Quantum Espresso outputs will be later added to Catalysis Hub (https://www.catalysis-hub.org/). The file "QuantumEspresso_versions" is a text file contaning the information of the Quantum Espresso versions employed for obtaining the dataset.</p> <p>The datasets contain the adsorption energies for surface slabs of a large number of binary intermetallic compounds with different compositions and lattices (for instance, A3B fcc, A3B hpc, AB bcc, etc.). Adsorption energies were computed for different adsorbates (H, O, and OH) on distinct adsorption sites (e.g., fcc AAB, fcc AAA, hcp AAA, hcp AAB, on-top A, and on-top B) and minimum energy surfaces. In addition, different elastic strains (biaxial tension, biaxial compression) were applied to assess their effect on adsorption energies. All calculations were carried out using DFT approximations as implemented in the Open-source software Quantum Espresso. Besides the adsorption energies, the datasets also contain relevant geometric and electronic descriptors (PSI, cell volume, weighted atomic radius, generalized coordination number, weighted electronegativity, weighted first ionization energy, outer electrons, and biaxial strain) calculated to feed them as features in the training of ML models. The datasets with the tag "scaled" on its name have the descriptors scaled following a MinMax scaling and are given in xlsx format.</p> <p>The lists for screening contain candidates not included in the dataset for which Random Forest predictions of the Eads were obtained. The lists contain the geometric and electronic descriptors of all screening candidates, as well as the predicted adsorption energy (Eads_RF).</p> <p>A GitHub repository is linked to this dataset (https://github.com/vvassilevg/HighHydrogenML). The repository contains two Python scripts:</p> <p>1) Script for creating a dataset from QuantumEspresso outputs, where all relevant descriptors are computed. It outputs a pickle and json files that can be later converted to any other desired format (like xlsx).</p> <p>2) Script for training a Random Forest model for the prediction of adsorption energies (the datasets with the "scaled" tag must be used for the script to work correctly).</p> <p> </p> <p>The dataset, ML model and screening have been accepted for publication in Catalysis Science & Technology DOI: DOI:<a title="Link to landing page via DOI" href="https://doi.org/10.1039/D4CY00491D">10.1039/D4CY00491D</a>. The accepted Manuscript and the Supplementary information are avilable within this repository.</p> <p> </p> <p>If you use this dataset or any of the files within this repository, please cite the original publication (<a title="Link to landing page via DOI" href="https://doi.org/10.1039/D4CY00491D">10.1039/D4CY00491D)</a> in your work.</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.