We report here the metagenomic profile of gut microbial DNA from the lower taxonomic group of subterranean termites. Considered in the hierarchy of taxonomic classifications, Coptotermes gestroi, and the higher-ranked groups, namely, The presence of Globitermes sulphureus and Macrotermes gilvus is confirmed within the boundaries of Penang, Malaysia. Employing Illumina MiSeq Next-Generation Sequencing, two replicates of each species were sequenced and the data was analyzed using QIIME2. 210248 sequences were identified in C. gestroi, 224972 in G. sulphureus, and 249549 in M. gilvus. Within the NCBI Sequence Read Archive (SRA), the sequence data were located, identified by BioProject PRJNA896747. Bacteroidota was found to be the most prevalent phylum in both _C. gestroi_ and _M. gilvus_, whereas _Spirochaetota_ dominated in _G. sulphureus_, according to the community analysis.
The dataset documents the experimental procedure of batch adsorption for ciprofloxacin and lamivudine from a synthetic solution, using jamun seed (Syzygium cumini) biochar. A study employing Response Surface Methodology (RSM) investigated and optimized independent variables, including pollutant concentration (10-500 ppm), contact time (30-300 minutes), adsorbent dosage (1-1000 mg), pH (1-14), and adsorbent calcination temperature (250-300, 600, and 750°C). Empirical models, designed to project the greatest removal percentages of ciprofloxacin and lamivudine, were formulated, and their performance was compared against experimental data. Pollutant removal efficiency was most responsive to concentration levels, then to the amount of adsorbent used, followed by pH adjustments and the time allowed for contact. The ultimate removal capacity reached 90%.
The popular technique of weaving is frequently used in the creation of fabrics. Warping, sizing, and the weaving process itself are the three primary steps involved. From this moment on, the weaving factory will be extensively involved with a considerable quantity of data. Sadly, no machine learning or data science techniques are employed in the process of weaving. Although a variety of methods are available for performing statistical analysis, data science practices, and machine learning endeavors. Employing the daily production reports spanning nine months, the dataset was constructed. The culmination of data collection yielded a final dataset containing 121,148 data entries, with each entry having 18 parameters. In spite of the raw data containing the same number of entries, each possesses 22 columns. To obtain EPI, PPI, warp, weft count values, and more, significant work is required on the raw data that combines the daily production report, handles missing values, renames columns, and employs feature engineering techniques. The complete dataset resides at the following location: https//data.mendeley.com/datasets/nxb4shgs9h/1. Processing is further advanced to produce the rejection dataset, which is located at the following online repository: https//data.mendeley.com/datasets/6mwgj7tms3/2. The dataset's future application will involve predicting weaving waste, examining statistical relationships between various parameters, and forecasting production, among other goals.
A growing desire for biological economies has led to a mounting and accelerating need for wood and fiber from forestry operations. To satisfy the global demand for timber, investments and developments across the entire timber supply chain are essential, but ultimately, the forestry sector must boost productivity while maintaining sustainable plantation practices. In order to expedite the growth of New Zealand's plantation forests, a trial series, running from 2015 to 2018, aimed at evaluating limitations to timber productivity, both present and anticipated, and subsequently implementing adjusted forest management practices to address these factors. A diverse array of 12 Pinus radiata D. Don genotypes, exhibiting varying attributes of growth, health, and timber quality, were cultivated at each of the six sites within this Accelerator trial series. Ten clones, a hybrid, and a seed lot of a widely planted New Zealand tree stock were part of the planting stock, comprising a total of ten specimens. Each trial site saw the implementation of a range of treatments, a control among them. biogas technology Considering environmental sustainability and its impact on timber quality, the treatments were formulated to resolve present and foreseen limitations in productivity at each location. Across the anticipated 30-year lifespan of each trial, site-specific treatments will be introduced and implemented. The data displays the characteristics of both the pre-harvest and time zero phases at each experimental site. The ripening of the trial series will make possible a complete understanding of treatment responses, built on the baseline provided by these data. A comparison of current tree productivity with previous measurements will indicate whether productivity gains have been realized, and whether these improvements in site characteristics suggest potential benefits for subsequent tree rotations. The ambitious Accelerator trials aim to revolutionize planted forest productivity, achieving unprecedented long-term gains while upholding sustainable forest management practices for the future.
These data are directly linked to the article, 'Resolving the Deep Phylogeny Implications for Early Adaptive Radiation, Cryptic, and Present-day Ecological Diversity of Papuan Microhylid Frogs' [1]. Samples of 233 tissues from the subfamily Asteroprhyinae, including members of all recognized genera and three outgroup taxa, constitute the dataset. The 99% complete sequence dataset contains over 2400 characters per sample for five genes: three nuclear (Seventh in Absentia (SIA), Brain Derived Neurotrophic Factor (BDNF), Sodium Calcium Exchange subunit-1 (NXC-1)) and two mitochondrial loci (Cytochrome oxidase b (CYTB), and NADH dehydrogenase subunit 4 (ND4)). For all loci and accession numbers, new primers for the raw sequence data were created. Using BEAST2 and IQ-TREE, the sequences, alongside geological time calibrations, are instrumental in producing time-calibrated Bayesian inference (BI) and Maximum Likelihood (ML) phylogenetic reconstructions. ALC0159 Data on lifestyle (arboreal, scansorial, terrestrial, fossorial, semi-aquatic) were gleaned from published literature and field observations, and used to deduce ancestral character states for each evolutionary lineage. Verification of sites hosting multiple species, or candidate species, was accomplished using elevation data and the location of collections. Competency-based medical education The code for all analyses and figures is included alongside all sequence data, alignments, and the associated metadata, which details voucher specimen number, species identification, type locality status, GPS coordinates, elevation, species list per site, and lifestyle.
A 2022 UK domestic household dataset is detailed in this data article. Gramian Angular Fields (GAF) are employed to depict appliance power usage and surrounding environmental conditions through time series and 2D image sets in the data. The dataset's significance is derived from (a) the provision of a dataset that integrates appliance-specific data with important information from its surrounding environment to the research community; (b) its representation of energy data using 2D images, thereby enabling the application of data visualization and machine learning for novel insight. By installing smart plugs into numerous household appliances, incorporating environmental and occupancy sensors, and linking these components to a High-Performance Edge Computing (HPEC) system, the methodology ensures private storage, pre-processing, and post-processing of data. The diverse data incorporate parameters such as power consumption (W), voltage (V), current (A), ambient indoor temperature (degrees Celsius), relative indoor humidity (percentage), and occupancy (binary). Data from The Norwegian Meteorological Institute (MET Norway) regarding outdoor weather conditions, including temperature in degrees Celsius, humidity expressed as a percentage, barometric pressure in hectopascals, wind direction measured in degrees, and wind speed measured in meters per second, are also present in the dataset. The development, validation, and deployment of computer vision and data-driven energy efficiency systems can be significantly aided by this valuable dataset, benefiting energy efficiency researchers, electrical engineers, and computer scientists.
Phylogenetic trees offer a window into the evolutionary journeys of species and molecules. While this is true, the factorial of (2n – 5) is part of A dataset of n sequences enables the construction of phylogenetic trees, but the brute-force search for the optimal tree encounters a computational hurdle due to the combinatorial explosion. Accordingly, we developed a method for constructing phylogenetic trees, utilizing the Fujitsu Digital Annealer, a quantum-inspired computer which efficiently solves combinatorial optimization problems. Phylogenetic trees are constructed by iteratively dividing a sequence set into two subsets, much like the graph-cut algorithm. The normalized cut value, a key measure of solution optimality, was assessed for the proposed method against competing approaches, using both simulated and real data. Sequences within the simulation dataset, numbering from 32 to 3200, displayed a range of average branch lengths, calculated under a normal distribution or the Yule model, extending from 0.125 to 0.750, illustrating a wide array of sequence variability. The dataset's statistical properties are also described using the indices of transitivity and average p-distance. As phylogenetic tree construction methods are anticipated to progress, this dataset is posited to provide a standard for the comparative and confirmatory evaluation of outcomes. Further insights into these analyses are provided in W. Onodera, N. Hara, S. Aoki, T. Asahi, and N. Sawamura's article “Phylogenetic tree reconstruction via graph cut presented using a quantum-inspired computer,” published in Mol. Phylogenetic trees illustrate the historical connections between species. Regarding the subject of evolution.