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Primary and raw data from the manuscript "CACNA1S haploinsufficiency confers resistance to New World arenavirus infection"
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This dataset contains results of experiments studying the leaching potential of heavy metals from road-deposited sediment (RDS) and three sorptive media (granular activated lignite, granular ferric hydroxide and zeolite) used in storm water quality improvement devices (SQIDs) to retain heavy metals from road runoff. The contaminated RDS and pre-stressed sorptive media were exposed in quiescent batch leaching tests to three different synthetic road runoffs (SRR, SRR+NaCl, SRR+DOM), thereby the effects of de-icing salts and dissolved organic matter were assessed. Samples were withdrawn after (4), 24, 48 and 168 h. The exerted methods are described comprehensively in the associated publication. This dataset contains following items: 1. Metal contents of road-deposited sediment and three pre-stressed sorptive media used in SQIDs 2. Leachates of RDS: pH, electrical conductivity (EC), UVA254, SUVA254, DOC, dissolved Ca, Cd, Cr, Cu, Fe, Mg, Na, Ni, Pb and Zn, and Cl 3. Leachates of three pre-stressed sorptive media: pH, EC, UVA254, DOC, dissolved Cu, Zn, Fe, and Cl
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This is a study about prenatal nutritional assessment among Bhutanese Refugee women in Salt Lake City, Utah
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The dataset was hand collected from the UK-based crowdfunding platform Crowdfunder.
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Application of subcutaneous and / or intraperitoneal analgesia is not effective in reducing pain after laparoscopy
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The specific gravity of Covid-19 analysis for survivability of a state. Basic statistical calculations and Rank methods use to obtain risk assessment scores for decision making on prioritizing the focus and attention needed to few states more than others which may show a larger value of cases as of now but has medical systems that are capable of survival of paitients.
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This dataset contains of Google RSV related to COVID-19 and COVID-19 new cases in Taiwan [December 5th, 2019 to February 8th, 2020]
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OVARIAN CANCER PATIENTS EXCEL
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The dataset is related to linear rock cutting experiments on concrete samples that consisted of different concrete mixtures. It is a supplement to scoping study using a procedural evaluation routine to analyse cutting Force Component Ratios (FCR) that could be used for the identification of changing mechanical rock properties during mechanical excavation. It focuses on the use of FCR in conjunction with point attack picks. The cutting depth and the spacing-to-depth ratio were varied at three levels each. 6, 8 and 12 mm for cutting depth (Coded as DZ in Dataset), the spacing ration at levels of 2, 3 and 4. In the dataset, the resulting spacing is stored as DY. Two artificial rock samples were tested. The samples were composed of two respective three different zones of concrete. The first block’s zones had a nominal cubic Uniaxial Compressive Strength (UCS) of 85 MPa (Zone 3) and 45 MPa (Zone 2). The zones of the second block were 85 (Zone 3), 45 (Zone 2) and 25 MPa (Zone 1). For each combination of cutting parameters, a whole layer of a specimen was cut in such a way that each cut groove crossed the different zones. In total, 414 single cuts were conducted to achieve reliable results. A procedural evaluation process was developed to assess the potential of Force Compononent Ratios for material differenciation based on statistical descriptors. The descriptors used where: arithmetic mean, geometric mean, median, interquartile range, 0.95-quantile, variance coefficient. A classification algorithm implemented in R was utilized to classify all combinations of statistical descriptors and Force Component Ratio. In total 72, combinations of Force Component Ratio and statistical descriptor were classified, 9 combinations were classified as suitable, 10 as partially suitable and the rest as unsuitable. The results imply that an FCR material differenciation based an raw cutting force measurements could be a tool for material diferenciation during mechanical excavation
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The present study The evidence reported above supports the notion that social support both directly affects the relapse tendency of women experiencing heroin addiction, but also may have an indirect impact through the active coping strategies. In addition, the role of social support may also be moderated by openness to experience. Further, previous studies of heroin addiction found that the age of addict and their parents' level of education level were significantly correlated with their rates of heroin abuse (Aggarwal et al., 2015; Kolodny et al., 2015). Therefore, it is necessary to control for these factors in the present study. Based on the above analysis, this study proposes the hypotheses listed here and summarized in the model in Fig. 1. (1) Active coping strategies would mediate the relationship between social support and the relapse tendency. (2) Openness to experience would moderate the relationships between social support and active coping strategies, and between social support and the relapse tendency. (3) Openness to experience would moderate the mediating effect of active coping strategies in the relationship between social support and the relapse tendency. Statistical analyses Descriptive analyses and Pearson’s correlations were used by SPSS 22.0 for all variables. To test the moderated mediation model, we have adopted Stride's advice, and constructs are measured by latent variables as opposed to observed variables (Stride, Gardner, Catley, & Thomas, 2015). The analysis process of the entire model corresponds to the SPSS macro PROCESS (http://www.afhayes.com) suggested by Hayes (2018) but applying Mplus 7.4. The mediating (indirect) effect with 5000 bootstrap samples. In order to better reveal the relationship between latent variables, we used the item parceling strategy (Hall, Snell, & Foust, 1999; Little, Cunningham, Shahar, & Widaman, 2002). The critical value of the statistical test includes p value under the standard 0.05 level, and 95% bias-correction bootstrap confidence interval.
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