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  • Data set for publication in Cell Host Microbe, Bruggisser et al: Cell-specific targeting by Clostridium perfringens β-toxin unraveled: the role of CD31 as the toxin receptor.
    Data Types:
    • Image
    • Tabular Data
    • Dataset
    • Document
    • Text
  • This is the appendix of the paper to supplement the research data of the paper
    Data Types:
    • Dataset
    • Document
  • This data set contains structural information regarding diffraction and spectroscopy of cellulosic Sunn Hemp fiber. First, the XRD diffraction data will shed light on the crystallinity and crystallite size of cellulose. You can interpret the diffraction data by using Segal's peak height method or deconvoluted technique and Scherer's formula to find out cellulose crystallinity and crystallite size respectively. The diffraction data were gathered with certain conditions and specific instrumental parameters. The relative intensity were taken at the angle that scan from 5˚ to 50˚ with a 3˚/min scanning rate and step size of 0.01˚ The spectroscopic data is obtained using the FTIR tool to check the functional groups and bonding. You can interpret the result by checking on the transmission peaks. Cellulose is pure polar in nature and hence hydrophilic. If you are trying to reduce the hydrophilicity, then you will find some peak loss due to the bond-breaking removal of polar molecules. From transmission peak, you also can get the idea of the percentage of transmission with treatment. The data are examined over 8 scans utilizing a nominal resolution of 4 cm-1 at the near-infrared region of wave number 4000 to 400 cm-1. From the electrical data set, you can evaluate the dielectric parameters, impedance, conductivity, and modulus. The current data was derived from an LCR meter in the frequency range of 100 Hz to 100 kHz at ambient temperature. This data will enable us to hold the information of the dielectric stability of composites that are made from naturally derived fibers. To interpret the dielectric and other electrical mentioned parameters, you will be needing a couple of formula which define dielectric constant, dielectric loss, ac conductivity, modulus etc.
    Data Types:
    • Dataset
    • Document
  • When diagnosed with a terminal disease patient autonomy should be honored and if they want to take end of life measures they should be able to do so humanely and safely under physician care
    Data Types:
    • Dataset
    • Document
  • The dataset is constructed for a project that investigates the coverage and the role of Semantic Scholar (S2) search engine in condunting secondary studies in software engineering.
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
    • Text
  • The dataset in the file "combined1.csv" included 383 patient's clinical data, including 7 variables: age, sex, location, aneurysm, nidus size, draining type, the number of draining veins, and hemorrhage. Female was defined as 0, male as 1. Superficial AVM was defined as 0, deep AVM as 1, infratentorial AVM as 2. Only superficial draining vein was defined as 0, mixed superficial and deep draining vein as 1. A single draining vein was defined as 1, multiple draining veins as 2. Ruptured AVM was defined as 1, unruptured AVM as 0. The file "randomtestpredict.R" was the source file in RStudio, which was used to build and test prediction models based on the above data file.
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
  • Background: Sedentary behaviour guidelines recommend that individuals should regularly break up sitting time. Accurately monitoring such breaks is needed to inform guidelines concerning how regularly to break up sitting time and to evaluate intervention effects. We investigated the concurrent validity of questionnaire items assessing number of breaks in sitting time among children and adolescents. Methods: Fifty-seven children and adolescents self-reported number of breaks from sitting taken at school, while watching TV and during other screen time activities. Participants also wore an activPAL monitor to objectively assess the number of sitting time breaks (frequency/hour). Concurrent validity was assessed using Spearman rank correlations. Results: Self-reported number of breaks/hour at school showed good concurrent validity (ρ=0.676). Results were moderate to good for self-reported number of breaks/hour while watching TV (ρ range: 0.482 to 0.536) and moderate for self-reported number of breaks/hour in total screen time (ρ range: 0.377 to 0.468). Poor concurrent validity was found for self-reported number of breaks/hour during other screen time activities (ρ range: 0.157 to 0.274). Conclusions: Only the questionnaire items about number of breaks at school and while watching TV appear to be appropriate for further use in research focussing on breaks in prolonged sitting among children and adolescents.
    Data Types:
    • Software/Code
    • Dataset
  • Mean GAS scores before and after intervention, data expressed as mean ± standard deviation and number (%). Significance is considered when p<0.05 *ITT protocol with Last observation Carried Forward (LOCF)
    Data Types:
    • Dataset
    • Document
  • In the northern Da Xing’anling Mountains in Northeast China, Effects of fire history on soil temperature, active layer thickness and soil moisture content. And the influence of different fire severity on thermal regimes of soils. The results showed that ground temperatures increased with increasing fire severity, and these changes mainly occurred at depths of 0–1.5 m. Moreover, nine years after a severe burn, the depth of evident temperature changes exceeded 6 m, and inferred warming of 2.7oC at 6 m depth. The onset of freeze-thaw processes in the active layer delayed at some severely burned sites, but advanced at some others. Presumably due to the influence of forest fires, the active layer thickness at severely burned sites was 3.8 m compared to 1.2 m at the un-burned site. Soil moisture content and organic-layer and snow-cover thicknesses also play important roles in further complicating the fire impacts on the permafrost environment.
    Data Types:
    • Dataset
    • Document
  • This dataset contains digital material accompanying the book chapter about machine learning-based AI in novel image data processing for hybrid cardiovascular imaging
    Data Types:
    • Software/Code
    • Video
    • Dataset