Table captions Table 1. Microprobe analyses of amphibole, biotite, plagioclase and alkali feldspar. Table 2. Chemical analyses of intrusive rock types of Colomines area. Table 3. K-Ar data obtained on biotite separates and whole-rocks of Colomines area. Table 4. Temperatures and pressures of the crystallisation of amphibole, biotite and Zr saturation of granitoids and related rocks of Colomines area.

Complete data file for all figures presented in "Cell delivery on decellularized adipose tissue bioscaffolds stimulates vascular regeneration and guides the differentiation of hematopoietic progenitor cells"

The aim of the study was to determine the rate of distribution, risk factors and treatment outcomes associated with multidrug-resistant tuberculosis (MDR-TB) in patients admitted to different specialized treatment centres in Nigeria between January, 2013 and December, 2017. This was a multi-center, hospital-based retrospective study designed to identify the pattern of prevalence, the factors predisposing individuals and the outcome of treatment of multidrug resistant tuberculosis in Nigeria. The medical records of bacteriologically and clinically confirmed MDR - TB patients that were registered, admitted and treated in twelve special MDR-TB treatment centres from across the six geopolitical zones in Nigeria between January, 2013 and December, 2017 were used for the study. These patients’ folders/files were reviewed and data were collected using a purposively designed proforma. Treatment outcome of patient’s were determined and recorded in their medical records by the health team following standard WHO definitions of MDR-TB treatment performance indicator.

This dataset has been created for our country, Bangladesh where people will get help from it. This dataset is for the medical specialist classification and Bengali Named Entity Recognition which will play a vital role in multi-purpose.

A study on how weak and strong information changes attitudes toward the COVID-19 virus pandemic in Spain

SNP arrays are enabling tools for high-resolution studies of the genetic basis of complex traits, and for incorporating genetic markers to expedite genetic gain in selective breeding programmes. The European seabass (Dicentrarchus labrax) and the gilthead seabream (Sparus aurata) are two primary fish species of importance for Mediterranean aquaculture. The aim of our study was to design a combined-species, 60K SNP array for the European seabass and the gilthead seabream, and to test its performance on farmed and wild populations from multiple locations throughout the Mediterranean. The data presented here are part of the validation process of the abovementioned platform and represents the allele frequencies of the SNPs on the array that were genotyped across 23 European seabass and 26 gilthead seabream populations sampled mainly from the Mediterranean Sea. The data comprises two text files, one for each fish species. Each file contains seven tab separated columns that indicate: chromosome/scaffold ID (1st column), position of the SNP (2nd column), SNP ID (3rd column), reference allele (4th column), alternate allele (5th column), the number of individuals successfully genotyped (6th column) and the average allele frequency of the SNP (7th column). The data shows that the majority of the SNPs on the platform are highly polymorphic across the sampled European seabass and gilthead seabream populations. The allele frequency information can be used to generate low-density panels to perform genetic research in both fish species.

This formatted dataset originates from raw data files from the Institute of Health Metrics and Evaluation Global Burden of Disease (GBD2017). It is population weighted worldwide data on male and female cohorts ages 15-69 years including cardiovascular disease early death and associated dietary, metabolic and other risk factors. The purpose of creating this formatted database is to explore the univariate and multiple regression correlations of cardiovascular early deaths and other health outcomes with risk factors.