Mouritzenmckay9276

This article presents data on the media use pattern of respondents with different degrees of mental well-being and mental anxiety in the context of the COVID-19 pandemic. We collected data on demographic variables, patterns of media engagement, and levels of mental well-being and mental anxiety among the Indian adult population in the COVID-19 era. A web-based cross-sectional online survey was conducted to obtain data on two main aspects in the context of COVID-19 mental well-being and mental anxiety and engagement with the media, both television and other social media channels. Using respondent-driven convenient sampling method, 426 Indian adults (age ≥ 18 years) residing in the country responded to the survey. The survey was conducted 3 weeks after the nationwide lockdown was enforced between April 16 and 22, 2020. Besides providing the risk messages about the disease outbreak, the media channels provided sensational coverage of it that might have amplified the risk perception of the public; thus, media use pattern may be a strong indicator of the impact of COVID-19 on the mental health of an individual. Therefore, this dataset could serve as a reference base for in-depth studies on the association between media amplification of a pandemic and the mental health status of the common public in the context of social disaster.This article presents data on social capital at the United States' county-level. Following Rupasingha et al. (2006), the social capital index captures the common factor among density measures of 10 different types of associations, voter turnout rates, U.S. decennial census participation rates, and the number of non-profit organizations. Based on Knack (2003), we create associational densities measures as a proxy for both bridging and bonding social capital. Including data on income inequality, racial diversity, minority group size, average household income, educational attainment, the ratio of a family household, the size of migration population, and female labor market participation rates, the data covers 3,104 U.S. counties for both 2009 and 2014. This paper includes descriptive statistics and figures. This data article is associated with the article "Race, Inequality, and Social Capital in the U.S. Counties."This dataset shows the agglomerate dimension and structure of oleic acid-coated superparamagnetic nanoparticles (SPIONs), which are dispersed in the nematic fluid of a thermotropic liquid crystal (LC), 4-cyano-4'-pentylbiphenyl (5CB). The analysed datasets were acquired from the raw images of the SPION-5CB mixtures obtained using cryogenic transmission electron microscopy (cryo-TEM) and polarised optical microscopy. The image data were quantitatively analysed to extract statistical information on the sizes of SPIONs and their agglomerates and the inter-particle spacing of the agglomerated SPIONs. This dataset supports the fundamental understanding on how colloidal nanospheres behave in an anisotropic fluid, and has a potential to be used as a part of database for automated design of new hybrid materials.The data presented in this article are related to a research paper on the modification of deformed nanostructure and mechanical performance of metastable high entropy alloys (HEAs) [1]. Fe50Mn25Cr15Co10 alloys with and without nitrogen were synthesized in a vacuum induction furnace using pure metals of 99.99% purity and FeCrN2 as nitrogen source. The nitrogen content was determined by Leco O/N-836 determinator for nitrogen-doped alloys. Transmission electron microscopy (TEM) were carried at 200 kV equipped with energy dispersive spectroscopy (EDS). Tensile testing was performed at room temperature. The strain rate jump tests were conducted by changing the strain rate between 10-3 and 10-2 s-1 to measure the strain rate sensitivity. The nanostructural evolutions by deformation including extended stacking faults (ESFs), ε-martensite and twins were examined using EBSD and TEM for the annealed samples and those strained to different strain levels. The role of partial dislocations on the formation of various PDIDs were analysed and the energies stored as deformed nanostructure (ESDN) after the PDID band formation were used to predict the evolution of various nanostructure with strain. The data and approach would provide a useful insight into the nanostructural evolution in metastable high entropy alloys.In the present article, we present a data compilation reflecting recrystallized microstructures and the corresponding mechanical properties of an equiatomic, single-phase face-centered cubic (FCC) CrFeNi medium-entropy alloy (MEA). For the analysis, interpretation, and discussion of the data, the reader can refer to the original research article entitled "Effects of temperature on mechanical properties and deformation mechanisms of the equiatomic CrFeNi medium-entropy alloy", see Ref. (Schneider and Laplanche, Acta Mater. Coelenterazine ic50 204, 2020). The data related to recrystallized microstructures comprise raw backscatter electron (BSE) micrographs (tif-files) obtained using a scanning electron microscope (SEM) for six grain sizes in the range [10-160 µm], optical micrographs of the alloy with the largest grain size (d = 327 µm), pdf-reports and tables presenting the corresponding grain-size distributions (d, accounting for grain boundaries only) and crystallite-size distributions (c, which accounts for both grain and anneraw stress-strain curves can be found. Compression tests for alloys with different grain sizes were performed at room temperature. Additional compression tests and tensile tests for the grain size d = 160 µm were performed at temperatures between 77 K and 873 K. Characteristic mechanical properties, such as yield stresses at 0.2% plastic strain (σ0.2% ) and Hall-Petch parameters (σ0 and ky ) are given for all temperatures in the tables below. Moreover, the Hall-Petch parameters as well as the mechanical data reported in the present study could be used for data mining and implemented in programs used for alloy design.The dataset reported data of survival rate, growth performance, branching architecture derived from 107 different poplar clones, including 104 introduced poplar clones (Populus deltoides) and 3 local extended poplar clones, measured within a long-term field experiment in lowland plantations in China. After 24 growing seasons from 1992 to 2015, the suvival rate for all the 107 clones, and tree height, diameter at breast-height (1.3 m), and tree volume of each tree were measured and calculated for all the 107 clones, in total of 301 alive trees (one to 9 trees for each clone), in three replicated plots. Subsequently, a total of 17 potential clones were selected by approximately 15% selection intensity, and 17 sample trees (one mean tree for each clone) were harvested for the investigation of the branching number, branching angle and base diameter of first-order branches. For the interpretation of the results of this experiment the readers are referred to Ref. [1]. The data presented in this article will aid selection of superior poplar clones for study and future applications in the similar lowland sites.