Duelund McCoy (foamfamily61)

We determined 116 globally important woody tree species, classified them based on the differences between plant life-forms, leaf textures and trichomes on leaves and measured the indices of some plant morphological traits in the Guizhou karstic regions of China. The water adsorbed on the upper surfaces of branches and leaves and the water adsorbed on the upper and lower surfaces of branches and leaves (WWu and WWul) of these species was measured. The ratios of the weight of adsorbed water on the upper surfaces of branches and leaves to the weight of branches and leaves (RWWu) and the ratios of the weight of adsorbed water on the upper and lower surfaces of branches and leaves to the weight of branches and leaves (RWWul) were calculated. The adsorption of water and morphological trait indices follow the approximately normal distributions. The weight of branches and leaves (weight), total leaf area (TLA) and mean leaf area (MLA) significantly impacted the adsorption of water by branches and leaves. The different rates of the adsorption of water for 116 tree species can explain the interspecific variation in rainfall interception. Interpretation of these data is provided in Effects of the morphological characteristics of plants on rainfall interception and kinetic energy[J]. Journal of Hydrology, 2020 125807. https//doi.org/10.1016/j.jhydrol.2020.125807.Data are US monthly time series of involuntary part-time employment stocks and flows from 1976 until 2019 (covering five economic downturns), derived from the US Current Population Survey (CPS). Stocks and flows are cleared from discrepancies over time caused by the 1994 redesign of the CPS, and they are adjusted to control for margin error problems and time aggregation biases. Data are available in two different formats unadjusted and adjusted for misclassification errors - another important sources of biases in worker flows data. learn more The time series obtained through these adjustments allow for a comprehensive account of the cyclical dynamics of involuntary part-time employment.The potential existence of spatial clusters in childhood cancer incidence is a debated topic. Identification of rare disease clusters in general may help to better understand disease etiology and develop preventive strategies against such entities. The incidence of newly diagnosed childhood malignancies under 15 years of age is 140/1,000,000. In this context, the subgroup of nephroblastoma represents an extremely rare entity with an annual incidence of 7/1,000,000. We evaluated widely used statistical approaches for spatial cluster detection in childhood cancer (Ref. Schündeln et al., 2021, Cancer Epidemiology). For the simulation study, random high risk clusters of 1 to 50 adjacent districts (NUTS-level 3, nomenclature des unités territoriales statistiques) were generated on the basis of the 402 German administrative districts. Each cluster was simulated with different relative risk levels (1 to 100). For each combination of cluster size and risk level 2000 iterations were performed. Simulated data was then aw data from the study can be used for benchmarking analyses applying different spatial statistical methods systematically and evaluating their performance characteristics comparatively. The analyzed data from the nephroblastoma example can be useful to interpret the performance of the three applied local cluster detection tests in the setting of extremely rare disease entities. As a practical application, data and R code can be used for performance analyses when planning to establish surveillance systems for rare disease entities.Distribution area and surface are both parameters of paramount importance for habitat management, monitoring and conservation. Here we present the distribution of eight zonal forest types of mainland Spain that are consistent with the Habitat Types (HT) listed in Annex I of the European Union Habitats Directive 92/43 EC. Their dominant species and HT codes are Fagu