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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. 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 Fagus sylvatica (9120, 9130 and 9150), Quercus robur and Q. pyrenaica (9230), Q. suber (9330), Pinus uncinata (9430), P. nigra ssp. BMH-21 solubility dmso salzmannii (9530) and P. pinea (subset of 9540). These distributions are based on tesserae from the 150,000 Spanish Forest Map and are the result of sorting assisted by supplementary databases. The distributions are presented as vector coverages, and provide three information levels of increasing detail geographic distribution, basic forest type and structural forest patch. Two R scripts are also included with the dataset. They implement a segmented regression approach to investigate forest fragmentation on these or other patch-like data.High-entropy alloys (HEA), a new class of engineering alloy, are characterized by high concentrations of multiple main elements. These alloys have revealed a vast and largely unexplored compositional space that gives substantial promise for the discovery of new and interesting alloys and properties. In this data article, calculated data and applied inferential statistics are given for six structures related to the calculation of stacking fault energy in a refractory AlNbTaTiV BCC high-entropy alloy (HEA). Global populations of 120 atomic permutations of a special quasirandom structure are calculated for four of the six structures, and a complete statistical inference analysis is performed. Partial sample distributions are created for two of the six structures, and the trends and statistical parameters of the unknown global populations are predicted. The dataset refers to the research article "Stacking fault energies on the 112 planes of an AlNbTaTiV BCC high-entropy alloy from first-principles calculations, analyzed with inferential statistics" by Strother and Hargather [1].We aimed to identify specific circular RNAs (circRNAs) involved in bone repair of trauma-induced osteonecrosis of femoral head (TIONFH) and to explore the potential mechanism. CircRNA sequencing on the blood sample collected from patients with and without TIONFH was performed to select cirRNAs that were significantly differentially expressed, followed by qRT-PCR confirmation. Furthermore, the functions of one selected circRNA and the potential mechanisms in bone repair of TIONFH were validated based on the bone marrow mesenchymal stem cells (BMSCs) and osteoclast-like cells (OLCs) through CCK-8, flow cytometry, transwell assay, luciferase reporter assay, and western blot. A total of 234 upregulated and 148 downregulated differentially expressed circRNAs were identified, and qRT-PCR showed that circRNA_25487 was significantly upregulated in the peripheral blood of TIONFH patients. Luciferase reporter assay confirmed the binding effect between miR-134-3p and circRNA_25487. CircRNA_25487 suppression and miR-134-3p overexpression could promote cell proliferation and invasion while inhibited apoptosis of BMSCs and OLCs.
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