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Wild animals, such as rodents seem to be competent reservoir of bacteria-borne zoonotic diseases which disseminate in human. We investigated the presence of E. coli, Shiga toxin-producing E. coli (STEC), and Salmonella in the feces of six category wild rodent species (Apodemus agrarius, A. peninsulae, A. sylvaticus, Micromys minutus, Myodes regulus, and R. norvegicus) captured from different agricultural regions in South Korea. Among them, A. agrarius, which account for 65% of total (N = 52) individuals, are most widely distributed and abundant in various agroecosystems in South Korea. The bacterial identification was performed by cultural and molecular methods. In cultural method, the fecal cultures from 26 individuals formed colonies on E. coli-selective EMB agar media. Of them, the fecal cultures from 18 individuals also produced colonies on the Shiga toxin-producing E. coli-selective CT-SMAC agar media as well as the EMB agar media. In molecular method, polymerase chain reaction (PCR) was carried out to detect two virulence genes (stx1 and stx2) of isolated E. coli. The amplified dataset of stx1 and stx2 genes of E. coli were sequenced. In this manuscript, E. coli and STEC were detected but there were no Salmonella species. The wild rodents' data would provide important information on reservoirs of those pathogenic bacteria.Investigation of the corrosion degradation behaviour of mild steel in an admixture of coconut shell and egg shell (CS-ES) based nano-fluid was presented in this study. Mild steel coupons were immersed in different concentrations (nine concentrations and the control as a reference) of the developed nano-fluid for a period of 24, 48, 72, 96, 120, 144 and 168 h. Corrosion rate was calculated based on ASTM Standard G1-03 standard practice for preparing, cleaning and evaluation of corrosion test specimens. Open circuit potential measurements (OCP) were also carried out. The potential of the steel samples in the nano-fluid with respect to time was investigated. This dataset could be used in evaluating the performance of mild steel in CS-ES based nano-fluid.Lignocellulosic biomass represents a readily available reservoir of functional elements that can be an alternative to fossil resources for energy, chemicals and materials production. However, comminution of lignocellulosic biomass into fine particles is required to reveal its functionalities, improve its reactivity and allow practical implementation in the downstream processing steps (carrying, dosage, mixing, formulation, shaping…). The sources of lignocellulosics are diverse, with two main families, being agricultural and forest by-products. Due to plant specificity and natural variability, the itineraries of particle size reduction by dry processing, the behavior upon milling and therefore the characteristics of resulting powders can deeply vary according to various raw biomasses [[1], [2]]. This data article contains milling itineraries and granulometric properties of the resulting powders obtained from a collection of by-products from crops (flax fibers, hemp core, rice husk, wheat straw) and woods (piney the particles per unit of gram and for some powders. The whole particle size distribution of a subset of produced powder samples are also provided for different milling times to illustrate the kinetics of particle size reduction. These data are stored in INRAE public repository and have been structured using BIOREFINERY ontology [3]. These data are also replicated in atWeb data warehouse providing additional query tools [[3], [4]].A dataset of high-speed video footage of mercury droplets settling through liquid media of different viscosities is presented. Video footage was taken at 4000 frames per second for mercury droplets at room temperature settling through either deionised water or silicone oil. The data set is useful for validation of computational models of a wide range of systems which include phase separation studies, settling behaviour as well as interfacial phenomena in liquid-liquid systems. The data can serve as an analogue for validation for fluid systems where dimensional similarity exists and experimentation is not possible due to hostile experimental conditions, e.g. settling of molten metal through molten oxide slag in pyrometallurgical furnaces or separation of heavy liquid phases in chemical reactors.This article aims to show direct, diffuse, and total solar radiation in the departments of La Guajira, Magdalena, and Cesar, located on the Caribbean coast of Colombia. [https://www.selleckchem.com/products/jh-x-119-01.html check details] In addition, data on climatic variables such as temperature, pressure, and relative humidity measured through different sensors located in these meteorological stations are presented. The data obtained by these stations correspond to measurements from 1993 to 2013 allowed the estimation of the parameters of the total, direct and diffuse solar radiation for each department, by mean of the Bird and Hulstrom model and parameterizations of the Mächler and Iqbal model. In addition, five climatological scenarios that could occur using these data were calculated.<br /><br /> To investigate the prevalence of posttraumatic stress symptoms (PTSS) of health care workers (HCWs) who were potentially or directly exposed to patients with coronavirus disease 2019 (COVID-19) in a non-core epidemic area of China.<br /><br /> Psychological conditions were evaluated by the multiple psychological evaluation scales in HCWs at the Affiliated Hospital of Xuzhou Medical University in Xuzhou City (a non-core epidemic area in China) during COVID-19 epidemic. According to the risk of exposure to COVID-19 patients, HCWs were divided into two groups HCWs with high-risk (HHCW) group (who worked in wards for COVID-19 patients) and HCWs with low-risk (LHCW) group (who worked in wards for non-COVID-19 patients in the same hospital). The clinical data of psychological evaluation scales from HCWs were collected.<br /><br /> A total of 171 HCWs were recruited in this study, with 94 (55.0%) HCWs in the HHCW group, and 77 (45.0%) HCWs in the LHCW group. Significant differences were observed in gender, work stress, job risk, and ho combat with COVID-19.