Blaabjerggill5732

The obtained titanium concentrations of the zircon crystals can lead to the crystallization temperatures through Ti-in-zircon geothermometer.The dataset in this work compares the response of two fodder crops, alfalfa (Medicago sativa) and buffel grass (Cenchrus ciliaris), to industrial biosludge amendment of an arid soil in the State of Qatar. It also evaluates the response of soil structure parameters in the biosludge-amended soils containing the different fodder crops. The dataset relates to our previously published works detailed subsequently. The underlying data comparing the water storage capacity and pore structure evolution of the planted soils treated with 0.75, 1.5, and 3% biosludge contents, which showed good outcomes in the companion articles, alongside soil only and soil-fertilizer controls, are presented. These are shown in terms of the percentage of irrigation water leached, and variations in the logarithmic mean T2 (i.e., T2LM - a proxy for mean pore size) and cumulative porosity, respectively. Data on plant growth parameters such as the number of days to flowering, plant height, and aboveground fresh biomass weight in individual replicates of the different treatments as a percentage of the soil-fertilizer control are also shown. The dataset shows the different responses of both plants and the planted soils to amendments with industrial biosludge from the wastewater treatment plant of a gas-to-liquid (GTL) plant.We provide the dataset supporting the research article "Nematodes as bioindicators of polluted sediments using metabarcoding and microscopic taxonomy" [1]. Nematodes are frequently used as bioindicators and the NemaSPEAR[%] is an validated index that is originally based on morphological data. The index was compared to molecular sequence data for the 28S rDNA, 18S rDNA and COI gene for 7 locations. This dataset includes chemical analyses of the sediments for 33 different substances. this website The sequence data for OTU-based analyses for the 28S rDNA, 18S rDNA and COI gene is given, together with the read distribution during bioinformatics processing. We furthermore include alternative ASV data, based on a cluster-independent approach. The morphological data is presented, including the biomass for each species, as well as an overview about whether the species is represented in the NCBI database. Furthermore, rarefaction analysis is given for the morphological data, and furthermore NMDS plots for the species and genus level based on morphological and molecular data. The correlation between the mean PEC-Q and the NemaSPEAR[%] values is given in order to compare the efficiency of the index, based on morphological and molecular data.Vegetation, generally present along river margins and floodplains, governs key hydrodynamic processes in riverine systems. Despite the flow-influencing mechanisms exhibited by natural vegetation and driven by its complex morphology and flexibility, vegetation has been conventionally simulated by using rigid cylinders. This article presents a dataset obtained from hydraulic experiments performed for investigating the flow-vegetation interaction in partly vegetated channels. Vegetation was simulated by using both natural-like and rigid model plants. Specifically, two sets of experiments are described in the first, vegetation was simulated with natural-like flexible foliated plants standing on a grassy bed; in the second, rigid cylinders were used. Experiments with rigid cylinders were designed to be compared against tests with natural-like plants, as to explore the effects of vegetation representation. The following experimental data were produced 3D instantaneous velocity measured by acoustic Doppler velocimetry, vegetation motion video recordings, and auxiliary data including detailed vegetation characterization. These experiments are unique both for the use of natural-like flexible woody vegetation in hydraulic experiments and for the similarity achieved between the resulting observed vegetated shear layers. These data are expected to be useful in vegetated flows model development and validation, and represent a unique benchmark for the interpretation of the flow-vegetation interaction in partly vegetated channels.Bamboos are known for their economical, ecological, and cultural importance. The plants can be annual or perennial and can be herbs, shrubs or trees and can also show different growth habits. The cell wall is the main component of the mechanical properties of the tissues. Data set presented here contains the results of cell walls fractioning of culms from six neotropical bamboo species Apoclada simplex, Chusquea capituliflora, Filgueirasia arenicola, Filgueirasia cannavieira, Guadua tagoara, Merostachys riedeliana and Parodiolyra micrantha. The cell walls were fractionated with oxalate and increasing NaOH concentrations sequentially. The yield and the monosaccharide compositions showed a small amount of pectin as expected for Poaceae and arabinoxylan as the main hemicellulose. The digestion of the hemicellulose fraction with xylanase produced an oligosaccharide profile that could be used to compare the similarity of the arabinoxylan from different species without identifying each individual oligosaccharide. Our data showed that the differences in cell wall composition do not vary according to the growth habit, but are in close association with the phylogenetic relations within the family. The differences in load capacity in plants with different habits (trees and herbs, for example) are more associated with the amount of support tissues than with different cell wall compositions. The importance of evaluate the cell wall of tropical bamboo species aimed at improving resources for biotechnology was discussed by Tine et al. 2020 [1].Dengue virus (DENV) evolution has had a significant impact on disease pathogenesis, virulence, and epidemiology in Mexico. Novel genotypic variation in DENV serotypes and genotypes may influence the magnitude and severity of dengue epidemics, as evidenced by 2009 data from Veracruz State. The data presented herein is related to the publication entitled "Epidemiological Implications of the Genetic Diversification of Dengue Virus (DENV) Serotypes and Genotypes in Mexico" [1]. Raw data and trees provide epidemiological data on DENV prevalence and a comprehensive phylogeny of both representative sequences collected from an NCBI repository, and 28 additional isolates from acute-phase plasma samples diagnosed with dengue fever or severe dengue (Raw sequencing data is hosted in the public repository Mendeley Data (http//dx.doi.org/10.17632/bf2kdhhf6x.2). Phylogenetic trees for each DENV serotype (DENV-1, -2, -3 and -4) were constructed using these sequences by a maximum likelihood methodology as well as a Bayesian Markov chain Monte Carlo (MCMC) integration approach. Phylogenetic trees exhibited (1) DENV-1, genotype V, (2) the DENV-2 Asian/American and Asian II genotypes, (3) DENV-3, genotype III, and (4) DENV-4, genotype I. This data can be beneficial for future analyses on DENV serotype and genotype structure and the introduction of novel DENV genotype sequences in the Americas, for the further elucidation of dengue etiology.The dataset presented in this article is the supplementary data for the research article titled "The combustion of polyolefins in the inert and catalytic fluidised beds", in which polyethylene combustion in the cenosphere fluidised bed were investigated. The use of cenospheres as a bed material made it possible to free sink of PE particles in the bed and rule out its combustion in freeboard. It also lead to elimination of soot formation. The quantitative and qualitative analysis of flue gases were performed by Fourier Transform Infrared Spectroscopy (FTIR, Gasmet DX-4000). This data article provides detailed information on changes in product concentration at intervals of a few seconds.An unknown bacterial strain was detected in the cytostome of Euglena gracilis and on the cell surface of Euglena gracilis using transmission electron microscopy. To identify the unknown bacterium and its function, we performed isolation experiments. Here we present the genome sequence of the isolate that was determined to be Paenibacillus sp. The genome of the bacterium was sequenced four times using Illumina technology with pair-end reads, Illumina technology with mate pair reads (inserts 3-4 and 6-8 Kb), and Nanopore technology with long reads (tens of thousands of nucleotides). Assemblies based on Illumina reads including mate-pair reads could not resolve issues caused by long tandem copies of rRNA, other tandem repeats, and extremely GC-rich regions (90-100%). Only long Nanopore reads resolved those gaps and made it possible to complete the entire genome; moreover, we found one plasmid. The length of the genome is 5.56 Mbp, and the average GC content is 59%. The genome of Paenibacillus sp. RUD330 included 8 copies of all the rRNA genes (23S; 16S; 5S), the length of the plasmid was 8.3 Kb. We hope that our genome assembly and the methods used can help other investigators in the assembly of complex genomes. Our reliable assembly could be a good basis for further physiological and genetic engineering studies of similar strains.This work presents data from a non-invasive interventional trial investigating the early effects of caffeine and nicotine on both the concentrations of advanced glycation end-products (AGEs) and haemodynamic parameters in 178 healthy nursing students aged between 18 and 40. These students were allocated into four groups (A, B, C and D) and the concentrations of AGEs as well as haemodynamic parameters were measured non-invasively using the AgeReader and the Finometer devices, respectively. The haemodynamic parameters that were measured included systolic blood pressure, diastolic blood pressure, mean arterial pressure, heart rate, inter-beat interval, stroke volume, cardiac output, ventricular ejection time, total peripheral resistance, ascending aorta impedance and total arterial compliance. According to our protocol, each beverage contained 100 mg of caffeine each cigarette contained 1.5 mg of nicotine. The present data reveal the combined effect of smoke and caffeine consumption to several hemodynamic parameters that may be related to the onset of elevated blood pressure during smoking and following caffeine consumption.Seven healthy participants were scanned using a Siemens Magnetom 7 Tesla (T) whole-body research MRI scanner (Siemens Healthcare, Erlangen, Germany). The first scan session was acquired in 2016 (time point one), the second and third session in 2019 (time point two and three, respectively) with the third session acquired 45 min following the second as a scan-rescan condition. The following scans were acquired for all time points structural T1 weighted (T1w) MP2RAGE, high in-plane resolution Turbo-Spin Echo (TSE) dedicated for hippocampus subfield segmentation. The data were used in three projects to date, for more insight see 1) Non-linear realignment for Turbo-Spin Echo retrospective motion correction and hippocampus segmentation improvement [1] 2) Longitudinal Automatic Segmentation of Hippocampal Subfields (LASHiS) using multi-contrast MRI [2]. 3) The challenge of bias-free coil combination for quantitative susceptibility mapping at ultra-high field [3]. Data were converted from DICOM to nifti format following the Brain Imaging Data Structure (BIDS) [4].