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1,667 results for “susceptibility”
Measured magnetic susceptibility data for different magnetite tracer stacking scenarios
<p>Dataset includes measured data of the volume magnetic susceptibility of 36 artificial soil profiles with various distribution of magnetic tracer. The monitoring was done with Bartington MS2D field probe.</p> <p>The dataset was created for the fitting and calibration of the parameters of a MagHut model. The model and the procedure is described in a manuscript by Zumr D., Li T., Gómez J., Guzmán G., Modelling the response of a field probe for non-destructive measurements of the magnetic susceptibility of soils (to date of the data submission under review).</p>
Multipad Agarose Plate (MAP): A Rapid and High-Throughput Approach for Antibiotic Susceptibility Testing
<p>The datasets used for the Multipad Agarose Plate (MAP) paper. Each experiment was labelled with BE followed by a number. </p> <p>The file <em>BE_condition_map.json</em> describes what was placed on each pad for the experiments. Attached here are JSON files with Pandas data frames that contain all segmentation information, along with debug videos showing how the segmentation aligns with the images. Contact us for access to the raw data.</p> <p>Datasets used for validation experiments:</p> <ul> <li>Leakage test: BE100, BE102</li> <li>Agarose concentration: BE103</li> <li>Illumination wavelength verification: BE138</li> <li>Seeding density verification: BE162</li> </ul> <p>Datasets used for AST:</p> <ul> <li>Chloramphenicol and Rifampicin: BE140, BE141, BE142, BE144, BE145</li> <li>Vancomycin, Ampicillin, Kanamycin: BE148, BE149</li> <li>Ciprofloxacin, Tetracycline, Carbenicillin, Mecillinam: BE150, BE151</li> </ul> <p>Broth microdilution data used for AST validation:</p> <ul> <li>BE139, BE143, BE160</li> </ul> <p>Some datasets also include data that was discarded. </p>
IODP Expedition 361 Magnetic susceptibility (section half)
<p>Magnetic susceptibility was measured on section halves on the Section Half Multisensor Logger (SHMSL) using a Bartington MS2 meter and either a MS2E or MS2K probe. Because all JRSO cores meet minimum size requirements for these two probes, MSPOINT data are corrected for volume and recorded in SI susceptibility units (x10<sup>-5</sup>).</p>
Mid to late Pleistocene IODP Expedition 354 Bengal Fan 8⁰ North transect age models, sedimentation rate stack, magnetic susceptibility stack, and XRF data
<p>Mid to late Pleistocene age models for the International Ocean Discovery Program (IODP) Expedition 354 8⁰ North drilling transect. Stacked records of sedimentation rates and magnetic susceptibility. U-channel XRF scans of calcareous clay sediments at Site U1452.</p> <p> </p> <p><strong>Abstract:</strong></p> <p>We investigate chronology and age uncertainty for the middle to upper Pleistocene lower Bengal Fan using a novel age-depth modeling approach that factors litho-, magneto-, bio-, cyclo-, and seismic stratigraphic constraints, based on results from the International Ocean Discovery Program Expedition 354 Bengal Fan and analysis of the GeoB97-020/027 seismic line. The initial chronostratigraphic framework is established using regionally extensive hemipelagic sediment units and only age-depth models of fan deposits that respect the superposition of channel-levee systems between sites are accepted. In doing so, we reconstruct signals of regional sediment accumulation rate and lithogenic sediment input through the perspective of a two-dimensional ~320 km transect at 8⁰ N that are consistent with more distal and more ambiguous regional records. This chronology allows us to discuss the depositional history of the middle to upper Pleistocene lower Bengal Fan within the context of sea level, climate, and tectonic controls. We hypothesize, based on the timing of accumulation rate changes, that progradation and intensification of the Bengal Fan’s channel-levee system at 8⁰ N was largely driven by increases in sea level amplitude during this time. However, it is also possible this progradation was influenced by changes in Pleistocene climate and increased Himalayan erosion rates, driving greater sediment flux to the fan.</p> <p> </p>
IODP Expedition 362 Magnetic susceptibility (section half)
<p>Magnetic susceptibility was measured on section halves on the Section Half Multisensor Logger (SHMSL) using a Bartington MS2 meter and either a MS2E or MS2K probe. Because all JRSO cores meet minimum size requirements for these two probes, MSPOINT data are corrected for volume and recorded in SI susceptibility units (x10<sup>-5</sup>).</p>
Myanmar Fire Susceptibility Map
<p><strong>Overview:</strong></p> <p>This dataset (shapefile) indicates fire susceptibility across Myanmar based on Figure 4 from Biswas et al. <sup>[1]</sup>.</p> <p>The raw data for this figure was not available on request, so has been digitized for use in a research project. For reproducibility, the dataset is uploaded here.</p> <p>An overview image (png) of the digitized dataset can be viewed<strong> </strong><a href="https://i.imgur.com/X7zD9xQ.png">here</a><strong> </strong>without download.</p> <p>Given the relatively low-resolution image of Figure 4 held by <em>PLOS ONE </em>and text labels covering data in some areas, a number of assumptions and approximations were required to populate the complete dataset. This involves a combination of automated and manual digitizing.</p> <p>Fire susceptibility is grouped into four classes: 1 (lowest), 2, 3, and 4 (highest). Biswas et al. <sup>[1]</sup> provide further descriptions of how the dataset was originally created and the assumptions behind defining these categories.</p> <p><strong>Details:</strong></p> <ul> <li>Shapefile (.shp)</li> <li>WGS 84 (EPSG:4326)</li> <li>6502 polygons, resolution of ~0.01°</li> <li>attribute <em>fire_sus</em> indicates the fire susceptibility metric from 1-4</li> </ul> <p><strong>References:</strong></p> <p><sup>[1] </sup>Biswas, S., Vadrevu, K. P., Lwin, Z. M., Lasko, K., & Justice, C. O. (2015). Factors controlling vegetation fires in protected and non-protected areas of Myanmar. <em>PLOS ONE</em>, <em>10</em>(4). DOI: <a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0124346">10.1371/journal.pone.0124346</a></p>
IODP Expedition 368X Magnetic susceptibility (section half)
<p>Magnetic susceptibility was measured on section halves on the Section Half Multisensor Logger (SHMSL) using a Bartington MS2 meter and either a MS2E or MS2K probe. Because all JRSO cores meet minimum size requirements for these two probes, MSPOINT data are corrected for volume and recorded in SI susceptibility units (x10<sup>-5</sup>).</p>
IODP Expedition 368X Magnetic susceptibility (whole round)
<p>Magnetic susceptibility was measured on whole-round sections (and rarely section halves) on the Whole-Round Multisensor Logger (WRMSL) and/or Special Task Multisensor Logger (STMSL) using a Bartington MS2 meter and a 90 mm or 80 mm MS2C loop. As volume of the sample is not controlled for this experiment, susceptibility units are recorded in instrument units and are not volume-corrected.</p>
IODP Expedition 366 Magnetic susceptibility (section half)
<p>Magnetic susceptibility was measured on section halves on the Section Half Multisensor Logger (SHMSL) using a Bartington MS2 meter and either a MS2E or MS2K probe. Because all JRSO cores meet minimum size requirements for these two probes, MSPOINT data are corrected for volume and recorded in SI susceptibility units (x10<sup>-5</sup>).</p>
IODP Expedition 366 Magnetic susceptibility (whole round)
<p>Magnetic susceptibility was measured on whole-round sections (and rarely section halves) on the Whole-Round Multisensor Logger (WRMSL) and/or Special Task Multisensor Logger (STMSL) using a Bartington MS2 meter and a 90 mm or 80 mm MS2C loop. As volume of the sample is not controlled for this experiment, susceptibility units are recorded in instrument units and are not volume-corrected.</p>
In vitro Evaluation of Biofield Treatment on Enterobacter cloacae: Impact on Antimicrobial Susceptibility and Biotype
<p>This research work investigated the influence of biofield treatment on <em>Enterobacter cloacae</em> (ATCC 13047) against antimicrobial susceptibility. Two sets of ATCC samples were taken in this experiment and denoted as A and B. ATCC A sample was revived and divided into two parts Gr. I (control) and Gr. II (revived); likewise, ATCC B was labeled as Gr. III (lyophilized). Group II and III were given with biofield treatment. The control and treatment groups of E. cloacae cells were tested with respect to antimicrobial susceptibility, biochemical reactions pattern and biotype number. The result showed significant decrease in the minimum inhibitory concentration (MIC) value of aztreonam and ceftazidime (≤ 8 μg/mL), as compared to control group (≥ 16 μg/mL). It was observed that 9% reaction was altered in the treated groups with respect to control out of the 33 biochemical reactions. Moreover, biotype number of this organism was substantially changed in group II (7731 7376) and group III (7710 3176) on day 10 as compared to control (7710 3376). The result suggested that biofield treatment had an impact on <em>E. cloacae</em> with respect to antimicrobial susceptibility, alteration of biochemical reactions pattern and biotype.</p> <p><strong>Source:</strong></p> <ul> <li><a href="https://www.trivedieffect.com/science/in-vitro-evaluation-of-biofield-treatment-on-enterobacter-cloacae-impact-on-antimicrobial-susceptibility-and-biotype">https://www.trivedieffect.com/science/in-vitro-evaluation-of-biofield-treatment-on-enterobacter-cloacae-impact-on-antimicrobial-susceptibility-and-biotype</a></li> <li><a href="https://www.omicsonline.org/open-access/in-vitro-evaluation-of-biofield-treatment-on-enterobacter-cloacae-impact-onantimicrobial-susceptibility-and-biotype-2155-9597-1000241.php?aid=60445">https://www.omicsonline.org/open-access/in-vitro-evaluation-of-biofield-treatment-on-enterobacter-cloacae-impact-onantimicrobial-susceptibility-and-biotype-2155-9597-1000241.php?aid=60445</a></li> </ul>
Sex and Age Impact CD4+ T Cell Susceptibility to HIV In Vitro Through Cell Activation Dynamics
<p>Cellular composition and the responsiveness of the immune system evolve upon aging and are influenced by biological sex. CD4+ T cells from women living with HIV exhibit a decreased viral replication ex vivo compared to men's. We, thus, hypothesized that these findings could be recapitulated in vitro and infected primary CD4+ T cells with HIV-based vectors pseudotyped with VSV-G or HIV envelopes. We used cells isolated from twenty donors to interrogate the effect of sex and age on permissiveness over a six-day activation kinetics. Our data identified an increased permissiveness to HIV between 24 and 72 h post-stimulation. Sex- and age-based analyses at these time points showed an increased susceptibility to HIV of the cells isolated from males and from donors over 50 years of age, respectively. A parallel assessment of surface markers' expression revealed higher frequencies of activation marker CD69 and of immune checkpoint inhibitors (PD-1 and CTLA-4) in the cells from highly permissive donors. Furthermore, positive correlations were identified between the expression kinetics of CD69, PD-1 and CTLA-4 and HIV expression kinetics. The cell population heterogeneity was assessed using a single-cell RNA-Seq analysis and no cell subtype enrichment was identified according to sex. Finally, transcriptomic analyses further highlighted the role of activation in those differences with enriched activation and cell cycle gene sets in male and older female cells. Altogether, this study brought further evidence about the individual features affecting HIV replication at the cellular level and should be considered in latency reactivation studies for an HIV cure.</p>
Dataset underlying the study "Enhanced Susceptibility to Tomato Chlorosis Virus (ToCV) in Hsp90- and Sgt1-Silenced Plants: Insights from Gene Expression Dynamics"
<p>This dataset is underlying the scientific publication titled "Enhanced Susceptibility to Tomato Chlorosis Virus (ToCV) in Hsp90- and Sgt1-Silenced Plants: Insights from Gene Expression Dynamics", published in the <a href="https://www.mdpi.com/1999-4915/15/12/2370">Viruses</a> journal. </p><p>The dataset includes a time-course transcriptome analysis using RNA-seq of naïve (no whitefly and no virus), mock (non-viruliferous whiteflies) and ToCV (ToCV_viruliferous whiteflies)-treated tomato samples at 2, 7, and 14 days post-infection (dpi) and viral small RNAs derived from Tomato plants infected with ToCV at 14 dpi. The dataset provided here has been deposited in full by the authors in the European Nucleotide Archive (ENA) at EMBL-EBI under accession number PRJEB67704 (<a href="https://www.ebi.ac.uk/ena/browser/view/PRJEB67704"><strong>https://www.ebi.ac.uk/ena/browser/view/PRJEB67704</strong></a><br><br>The provided information in the dataset are further discussed and interpreted in detail, as well as their subsequent results, in the scientific publication.</p><p>This research was conducted within the VIRTIGATION project, which is part of the EU Open Research Data pilot. This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No. 101000570.</p>
Data from: Gene expression differences between western redcedar seedlings resistant and susceptible to cedar leaf blight
<p>Western redcedar (<em>T. plicata</em>) is an important Cupressaceae both at economic and cultural levels in the Pacific Northwest of North America. In adult trees, the species produces one of the most weathering-resistant heartwoods among conifers, making it one of the preferred species for outdoor applications. However, young <em>T. plicata</em> plants are susceptible to infection with cedar leaf blight (<em>D. thujina</em>), an important foliar pathogen that can be devastating in nurseries and small-spaced plantations. Despite that, variability in the resistance against <em>D. thujina</em> in <em>T. plicata</em> has been documented, and such a variability can be used to breed <em>T. plicata</em> for resistance against the pathogen. This investigation aimed to discern the phenotypic and gene expression differences between resistant and susceptible <em>T. plicata</em> seedlings to shed light on the potential constitutive resistance mechanisms against cedar leaf blight in western redcedar. The study consisted of two parts. First, the histological differences between four resistant and four susceptible families that were never infected with the pathogen were investigated. And second, the differences between one resistant and one susceptible family that were infected and not infected with the pathogen were analyzed at the chemical (C, N, mineral nutrients, lignin, fiber, starch, and terpenes) and gene expression (RNA-Seq) levels. The histological part showed that <em>T. plicata</em> seedlings resistant to <em>D. thujina</em> had constitutively thicker cuticles and lower stomata densities than susceptible plants. The chemical analyses revealed that, regardless of their infection status, resistant plants had higher foliar concentrations of sabinene and α-thujene, and higher levels of expression of transcripts that code for leucine-rich repeat receptor-like protein kinases and for bark storage proteins. In conclusion, the data collected in this study shows that constitutive differences at the phenotypic (histological and chemical) and gene expression level exist between <em>T. plicata</em> seedlings susceptible and resistant to <em>D. thujina</em>. Such differences have potential use for marker-assisted selection and breeding for resistance against cedar leaf blight in western redcedar in the future.</p>
Figure 2 in Susceptibility of the sweet pepper (Capsicum annuum L.) to the infestation of Tetranychus urticae (Acari: Tetranychidae) and the different insect pests under greenhouse conditions in Ismailia, Egypt
Figure 2. The interaction effects of seasons and cultivars on the Chl., Car., total protein and phenol contents (A) and the activity of the antioxidant enzymes (B) of the two sweet pepper cultivars during the two growing seasons 2021–22.
Figure 1 in Susceptibility of the sweet pepper (Capsicum annuum L.) to the infestation of Tetranychus urticae (Acari: Tetranychidae) and the different insect pests under greenhouse conditions in Ismailia, Egypt
Figure 1. Monthly abundance of total TSSM (A), associated insect pest (B), and predator (C) numbers on the two sweet pepper cultivars during the two growing seasons 2021–22.
Predicted gene expression in ancestrally diverse populations leads to discovery of susceptibility loci for lifestyle and cardiometabolic traits
<p>Full summary statistics for the publication "Predicted gene expression in ancestrally diverse populations leads to discovery of susceptibility loci for lifestyle and cardiometabolic traits". </p> <p>The files, bmi.UKBBsummary.txt and height.UKBBsummary.txt, contain tissue specific associations with body mass index (BMI) and height respectively. The suffix UKBB450k indicates results from all ~450,000 European ancestry individuals in UK Biobank. The suffix UKBB50k corresponds to results from a subset of 50,000 Europeans in the UK Biobank. The suffix PAGE corresponds to results from ~50,000 individuals in the Population Architecture using Genomics and Epidemiology (PAGE) study. </p> <p>The file PAGE_PrediXcan_associations.txt includes trait~tissue specific GReX associations for 25 traits. The first field specifies the tissue.trait.gene of the association results.</p>
High speed camera video files for analyzing the cracking susceptibility of AA6005 alloy
<p>The paper based on this data was published in the CIRP/Photonics LANE 2022 conference at Furth, Germany. The high speed camera video raw data for future reference on solidification cracking susceptibility of AA 6005 alloy using the Digital Image correlation technique.</p>
IODP Expedition 372A Magnetic susceptibility (point or contact system)
<p>Magnetic susceptibility was measured on section halves on the Section Half Multisensor Logger (SHMSL) using a Bartington MS2 meter and either a MS2E or MS2K probe. Because all JRSO cores meet minimum size requirements for these two probes, MSPOINT data are corrected for volume and recorded in SI susceptibility units (x10<sup>-5</sup>).</p>
IODP Expedition 372A Magnetic susceptibility (whole round)
<p>Magnetic susceptibility was measured on whole-round sections (and rarely section halves) on the Whole-Round Multisensor Logger (WRMSL) and/or Special Task Multisensor Logger (STMSL) using a Bartington MS2 meter and a 90 mm or 80 mm MS2C loop. As volume of the sample is not controlled for this experiment, susceptibility units are recorded in instrument units and are not volume-corrected.</p>
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