Synthesis and characterization of supported metal-based oxygen carriers were carried out to provide information related to the use of oxygen carriers for chemical looping combustion processes. The Cu, Co, Fe, Ni metals supported with Al2O3, CeO2, TiO2, ZrO2 were prepared using the wetness impregnation technique. Then, the X-ray Diffraction (XRD) characterization of oxidized and reduced samples was obtained and presented. The kinetic analysis using Thermogravimetric analyzer (TGA) of the synthesized samples was conducted. The kinetics of reduction reaction of all samples were estimated and explained.
The data presented in this article were the basis for the study reported in the research articles entitled "Evaluation of a two-sided windcatcher integrated with wing wall (as a new design) and comparison with a conventional windcatcher" (P. Nejat, J.K. Calautit, M.Z.A. Majid, B.R. Hughes, I. Zeynali, F. Jomehzadeh, 2016) [1] which presents the effect of wing wall on the air flow distribution under using the windcatchers as a natural ventilation equipment. Here, we detail the wind tunnel testing and numerical set-up used for obtaining the data on ventilation rates and indoor airflow distribution inside a test room with a two-sided windcatcher and wing wall. Three models were integrated with wing wall angled at 30°, 45° and 60° and another windcatcher was a conventional two-sided device. The computer-aided design (CAD) three-dimensional geometries which were produced using Solid Edge modeler are also included in the data article.
The measurement of this data aims to evaluate the wind shear variability at three selected sites in Malaysia. The sites are Kudat in Sabah, Kijal in Terengganu and Langkawi in Kedah. Both sites in Kudat and Kijal is located in coastal areas with few buildings or trees, while the site in Langkawi is a coastal area with many buildings or trees. The variables were measured using the sensors that mounted on the wind mast with the maximum height from 55 m to 70 m from ground level. The variables measured were wind speed, wind direction, temperature, and pressure, while the wind shear data were directly generated using the power law equation. The averaged wind shear based on measured multiple height wind speed at selected sites is larger than the 1/7 law (0.143). Also, the value of wind shear was higher in order Langkawi > Kudat > Kijal. Ultimately, the wind shear data are essential and can be reused in the wind energy potential study, especially for data extrapolation to desired wind turbine hub height.
Enterococcus gallinarum is a gram positive facultatively anaerobic bacteria that is typically found in mammalian intestinal tracts. It is generally not considered pathogenic to humans and is rarely reported. Here, we present the draft genome sequence data of Enterococcus gallinarum strain EGR748 isolated from a human clinical sample, and sequenced using the Illumina HiSeq 4000 system. The estimated whole genome size of the strain was 3,730,000 bp with a G + C content of 40.43%. The de novo assembly of the genome generated 55 contigs with an N50 of 208,509 bp. In addition, the Maximum Likelihood phylogenetic analysis based on the 16S rRNA sequence data accurately clustered EGR748 with other E. gallinarum strains. The data may be useful to demonstrate the capacity of this enterococcal species becoming the causal agents of nosocomial blood-stream infections. The genome dataset has been deposited at DDBJ/ENA/GenBank under the accession number JAABOR000000000.
A Mycobacterium tuberculosis strain SBH162 was isolated from a 49-year-old male with pulmonary tuberculosis. GeneXpert MDR/RIF identified the strain as rifampicin-resistant M. tuberculosis. The whole genome sequencing was performed using Illumina HiSeq 4000 system to further investigate and verify the mutation sites of the strain through genetic analyses namely variant calling using bioinformatics tools. The de novo assembly of genome generated 100 contigs with N50 of 156,381bp. The whole genome size was 4,343,911 bp with G + C content of 65.58% and consisted of 4,306 predicted genes. The mutation site, S450L, for rifampicin resistance was detected in the rpoB gene. Based on the phylogenetic analysis using the Maximum Likelihood method, the strain was identified as belonging to the Europe America Africa lineage (Lineage 4). The genome dataset has been deposited at DDBJ/ENA/GenBank under the accession number SMOE00000000.
Arthrobacter is a coryneform bacterium in the family of Micrococcaceae. Arthrobacter species isolated from hostile environments are capable of producing interesting bioactive compounds, some of which may be a new class of antibiotics. Here, we present the complete genome sequence of Arthrobacter sp. ES1 isolated from Schirmacher Oasis in East Antarctica. Genomic DNA sequencing was performed using the Illumina MiSeq sequencer. Arthrobacter sp. ES1 has a genome size of 3,964,927 bp and a GC content of 65.73%. The raw genome sequences have been deposited in the NCBI Sequence Read Archive database under the accession number, SRR20664316.
Marinobacter adhaerens (PBVC038) was isolated from a harmful algal bloom event caused by the toxic dinoflagellate Pyrodinium bahamense var. compressum (P. bahamense) in Sepanggar Bay, Sabah, Malaysia, in December 2012. Blooms of P. bahamense are frequently linked to paralytic shellfish poisoning, resulting in morbidity and mortality. Prior experimental evidence has implicated the role of symbiotic bacteria in bloom dynamics and the synthesis of biotoxins. The draft genome sequence data of a harmful algal bloom-associated bacterium, Marinobacter adhaerens PBVC038 is presented here. The genome is made up of 21 contigs with an estimated 4,246,508 bases in genome size and a GC content of 57.19%. The raw data files can be retrieved from the National Center for Biotechnology Information (NCBI) under the Bioproject number PRJNA320140. The assessment of bacterial communities associated with harmful algal bloom should be studied more extensively as more data is needed to ascertain the functions of these associated bacteria during a bloom event.
Chromobacterium violaceum is a gram-negative, facultative anaerobic bacillus which is commonly found in soil. It can cause mild diarrhoea upon infection but can progress, although rarely, to fatal multi-organ failure and death. Here we report the whole genome sequence data of Chromobacterium violaceum WCH4 strain, a pathogenic strain that was obtained from a 78 year old male patient suffering from an eye infection. This is a rare case of human infection of the bacteria. Blood culture report as well as 16S rRNA confirmed the presence of C. violaceum WCH4. DNA sequencing using the Illumina HiSeq 4000 system revealed a genome size of 4,637,406 bp with a GC-content of 64.89%. We identified 4,572 protein coding sequences (CDS), 78 transfer RNA (tRNA) genes, and 3 ribosomal RNA (rRNA) genes. The CDS included 1,261 hypothetical proteins and 3,311 proteins with functional assignments. We also identified seven putative genes involved in efflux pump and conferring multidrug antibiotic resistance. The genome data has been deposited at NCBI under the accession number JAFBBB000000000 and consist of full annotated genome and raw sequence data. Our data resource will assist in further downstream analysis and understanding of the mechanism of rare human infection caused by Chromobacterium violaceum WCH4 strain.
Barrientosiimonas humi gen. nov., sp. nov. 39T is a rare actinobacteria strain isolated from the less explored extreme environment of the Antarctic soil. Here, we present the whole genome sequencing and annotation data from the high-quality draft genome of B. humi from Antarctica. The extracted genomic deoxyribonucleic acid (DNA) was sequenced using the PacBio Sequel sequencing platform, followed by the Illumina HiSeq sequencing system. Subsequently, the assembly data from Canu 1.7 and Pilon were subjected to bioinformatics analysis for genome annotation to analyze the entire genomic information of the sequences. Different bioinformatics analysis approaches were used to disclose a high-quality draft genome basis for B. humi and provided a better understanding of its biological and molecular functions. Note that 83,639 reads were predicted from its 3.6Mb genome size, with a guanine-cytosine content (GC) content of 72.39%. The genome was assembled into two contigs, where the larger contig represents the chromosome and the smaller contig represents the plasmid. It is composed of 3,381 coding genes, with about 95% of them being functionally annotated. It consists of 3,318 coding sequences, one tmRNA gene, 57 tRNA genes, and five repeated regions. B. humi was evident, sharing a close sequence similarity with the species Demetria terragena and the family Dermacoccaceae. Gene Ontology (GO) functional classification indicated cell and cell parts were highly represented among the cellular component category; catalytic activity and binding were the most enriched processes within the molecular function category; metabolic and cellular processes were the most represented in the biological process category. Clusters of Orthologous Group (COG) functional classification revealed metabolism-related genes were highly enriched and mostly mapped to amino acid transport metabolism, transcription, energy production, and conversion. Moreover, the Kyoto Encyclopedia of Genes and Genomes (KEGG) functional classification reported that the metabolism process was the most represented KEGG pathway. There were 52 biosynthetic gene clusters involved in secondary metabolites biosynthesis, indicating B. humi has antibacterial, antifungal, cytotoxic, and inhibitor bioactivities. The dataset of the whole-genome sequence of B. humi has been deposited in the European Nucleotide Archive (ENA) repository under the accession number PRJEB44986 / ERP129097. The dataset of the genome annotation of B. humi had been deposited in Zenodo. The reported genomic sequence data for B. humi contributes comprehensive data to the current molecular information of the species, serving as a significant approach that facilitates the advancement of medicine.
In Malaysia, rice mutant varieties that are genetically altered to confer resistance against blast disease have been substantially developed through mutational breeding program. However, due to the limited accessible information on the mutant lines, mutant gene variants corresponding to the disease resistance and other useful agronomic traits are yet to be exploited. Here, we conducted whole genome re-sequencing of blast resistance with kernel elongation traits in mutant line, Mahsuri Mutant (87,639,446 bp raw reads), and its parental line, Mahsuri (85,156,783 bp raw reads) using Illumina Novaseq 6000 sequencing platform with 30x sequencing coverage. The generated genome sequences are aimed to facilitate the discovery of causal mutation and single nucleotide polymorphisms (SNPs) related to the intended traits. The identified SNPs can be further employed to develop allele-specific SNP molecular markers to locate the mutant gene regions. The NGS data obtained (FASTQ format) of the parental and mutant lines have been deposited in the National Center for Biotechnology Information (NCBI) database under sequence read archive (SRA) xwith accession numbers SRR24388814 (Mahsuri) and SRR22952097 (Mahsuri Mutant) respectively.
This article contains water quality data collected in a shallow and narrow Setiu Lagoon during the southwest monsoon, wet period of northeast monsoon and dry period of northeast monsoon. The surface water quality parameters, which include the temperature, salinity, chlorophyll-a and nutrients (ammonia, nitrate, phosphate, and silicate) were sampled twice per day (high and low tides) at a total of eight stations. Hourly current speed and direction was obtained from mooring of two units of current meters. Compared to the Malaysia Marine Water Quality Criteria and Standard (MWQCS), nutrients in Setiu Lagoon were in Class 2. Although limited, this dataset can provide insights on the changes of water quality condition in Setiu Lagoon under the presence of anthropogenic pressures.
This article provides violent crime data in Malaysia from 2006 to 2017. The violent crimes include murder, rape, gang robbery, robbery and voluntarily causing hurt cases. A total of 330,395 violent crime cases were reported in this 12 year period and the data were tabulated state by state for all thirteen states of Malaysia, including two states in Borneo (Sabah and Sarawak) and one federal territory (Kuala Lumpur). In general, violent crimes show a decreasing trend from 2006 to 2017 in Malaysia. However, armed gang robbery and armed robbery show a fluctuating pattern from 2008 to 2011. A similar pattern was also recorded for unarmed gang robbery from 2008 to 2010. The violent crime data deposited here are available for further analysis, e.g., for identifying risk factors such as demography, lifestyle, socio-economic status, government policies etc. which may be associated with violent crime incidence and pattern across the country.
We present in this paper a novel dataset (MMU VAAC) for violent actions against children recognition. This original dataset has been recorded using Microsoft Kinect with the usage of a child mannequin. MMU VAAC dataset contains skeleton joints, depth, and RGB modalities.
This paper provides detail on sequence analysis of hazy days based on eight monitoring stations from three states (Kelantan, Terengganu and Pahang) in the eastern region of Peninsular Malaysia. The dataset comprises of 1502 daily mean hazy days that had been measured for a decade. The meteorology data namely wind speed, wind direction, air temperature, relative humidity and particulate matter (PM10) were used to comprehend the variability, and the relationship existed amongst variables. The final dataset consists of a summary descriptive analysis and a boxplot, where all five variables were involved, including the minimum, maximum, mean, 1st quartile, median, 3rd quartile and standard deviation are presented. Apart from descriptive analysis, the normality test and histogram were performed as well.
This article presents data derived from a survey conducted to assess the validity and reliability of a newly developed instrument for Quality Management System items in the context of educational institutions. By analyzing the descriptive statistics, a concise overview of the main characteristics of the data set is provided, which facilitates the implementation and interpretation of the newly developed Quality Management System. Considering the need for quality education highlighted in the United Nations Sustainable Development Goals, organizations need to prioritize quality management, which can be achieved through the implementation of Quality Management Systems. The present data set focuses on Islamic Quality Management Systems in Malaysian educational institutions and includes responses from 35 Islamic private elementary school in different states in Malaysia. This dataset covers a wide range of variables relevant to the education sector and provides valuable insights for education stakeholders and curriculum developers. By aligning with the principles of quality education advocated by the SDGs, these findings offer significant opportunities to support educators and improve the quality of education.
The data presented in this paper is supporting the research article "Life history traits predict the response to increased light among 33 tropical rainforest tree species" [3]. We show basic growth and survival data collected over the 6 years duration of the experiment, as well as data from traits inventories covering 12 tree traits collected prior to and after a canopy reduction treatment in 2013. Further, we also include canopy closure and forest light environment data from measurements with hemispherical photographs before and after the treatment.
This article provides data regarding the performance of zinc sulphate as a coagulant for treating rubber industry wastewater. The effect of four factors on removal efficiency of nine parameters is investigated, namely: pH, mixing speed, dosage of coagulant (zinc sulphate) and retention time. Response surface methodology was used to investigate the effect of selected variables. The data obtained from face centered composite design (FCCD) were analyzed by using analysis of variance (ANOVA) and regression model to find the optimum operating conditions for the selected factors.
Messastrum gracile SE-MC4 is a non-model microalga exhibiting superior oil-accumulating abilities. However, biomass production in M. gracile SE-MC4 is limited due to low cell proliferation especially after prolonged cultivation under oil-inducing culture conditions. Present data consist of next generation RNA sequencing data of M. gracile SE-MC4 under exponential and stationary growth stages. RNA of six samples were extracted and sequenced with insert size of 100 bp paired-end strategy using BGISEQ-500 platform to produce a total of 59.64 Gb data with 314 million reads. Sequences were filtered and de novo assembled to form 53,307 number of gene sequences. Sequencing data were deposited in National Center for Biotechnology Information (NCBI) and can be accessed via BioProject ID PRJNA552165. This information can be used to enhance biomass production in M. gracile SE-MC4 and other microalgae aimed towards improving biodiesel development.
To date, Ganoderma boninense is known to be the causal agent of basal stem rot (BSR) disease in oil palm (Elaeis guineensis). This disease causes rotting in the roots, basal and upper stem of oil palm. Infection causes progressive destruction of the basal tissues at the oil palm trunk and internal dry rotting, particularly at the intersection between the bole and trunk. Molecular responses of oil palm during infection are not well study although this information is crucial to strategize effective measures to control or eliminate BSR. Here we report three sets of transcriptome data from samples of near-rot section of basal stem tissue of oil palm tree infected with G. boninense (IPIT), healthy section of basal stem tissue of the same G. boninense infected palm (IPHT) and the healthy section of basal stem tissue of the healthy palm (HPHT). The raw reads were deposited into NCBI database and can be accessed via BioProject accession number PRJNA530030.
Expansin increases cell wall extensibility to allow cell wall loosening and cell expansion even in the absence of hydrolytic activity. Previous studies showed that excessive overexpression of expansin gene resulted in defective growth (Goh et al., 2014; Rochange et al., 2001) [1,2] and altered cell wall chemical composition (Zenoni et al., 2011) [3]. However, the molecular mechanism on how the overexpression of non-enzymatic cell wall protein expansin can result in widespread effects on plant cell wall and organ growth remains unclear. We acquired transcriptomic data on previously reported transgenic Arabidopsis line (Goh et al., 2014) [1] to investigate the effects of overexpressing a heterologus cucumber expansin gene (CsEXPA1) on the global gene expression pattern during early and late phases of etiolated hypocotyl growth.