Titanate compounds was synthesized using hydrothermal method at various temperature (100, 150, 200, and 250 °C) for 24 hours. As-synthesized titanate was characterized using FTIR, XRD and nitrogen gas adsorption. FTIR spectra was scanned from 4000 to 400 cm-1 using Perkin Elmer Spectrum 100 FTIR spectrophotometer. XRD diffractogram was performed by using Rigaku Miniflex (II) X-ray diffractometer operating at a scanning rate of 2.00° min-1. The diffraction spectra were recorded at the diffraction angle, 2θ from 10° to 80° at room temperature. Nitrogen gas adsorption analysis was studied by using Micromeritics ASAP2020 (Alaska) to determine the surface area and pores size distribution. The nitrogen adsorption and desorption was measured at 77 K (temperature of liquid nitrogen) and the samples were degassed in a vacuum at 110 °C under nitrogen flow for overnight prior to analysis.
Escherichia coli strain INF32/16/A is a gram-negative bacteria which is an extended-spectrum beta-lactamases (ESBL). ESBL is an enzyme that is produced by bacteria to become resistant to existing antibiotic such as extended-spectrum penicillin, cephalosporins, and have been threatening the ability to treat an infection. Therefore, genome analysis will provide an insight of how this bacteria able to evolve and the information obtained will able to facilitate in designing new antibiotics. The genome of E. coli strain was sequenced using Illumina MiSeq and raw genome sequence have been submitted into NCBI SRA database (SRR15334628) under Bioproject accession number PRJNA726861.
Bacterial endophytes play a vital role in the growth and fitness of host plants from infection by phytopathogens. To our knowledge, however, little information is available on the endophytic bacterial composition in healthy and diseased Kappahycus alvarezii, one of the most important major sources of carrageenan industries, especially in Sabah. The main idea was to analyze and compare the composition of endophytic bacterial communities in healthy and diseased K. alvarezii isolated from Sabah, Malaysia. The data reveals the composition of endophytic bacterial microbiomes in healthy and diseased K. alvarezii isolated from Sabah. The isolated endophytes were identified using 16S rDNA sequencing. Taxonomic identification and phylogenetic tree analysis were done using the online BLAST (blastn) and MEGA11 software, respectively. The data presents the diversity of bacterial endosphere microbiomes found in healthy K. alvarezii which are composed of Bacillus, Cytobacillus and Priestia whereas Vibrio and Micrococcus occurred exclusively in the diseased K. alvarezii. Microbial comparative analysis between the healthy and diseased seaweed points to the potential of several Bacillus strains that may have biocontrol potential against Vibrio infection in seaweed such as the ice-ice disease. Raw data files are available at the GenBank, NCBI database under the accession number MZ570560 to MZ570580.
A regression analysis was conducted to assess the link between resilience, supervisor support, family and friend support, psychological empowerment, and facilitating conditions with work engagement using the Statistical Package of Social Sciences (SPSS) 26. This data was obtained from a cross-sectional survey of 259 knowledge workers in Malaysia. Specifically, this article provides data about the participants' demographic characteristics and the descriptive data of participants' responses. Further, the mean, standard deviation, reliability of the measured constructs, and regression analysis model summary are provided. This dataset offers suggestions to the top management in deducing ways to increase employees' work engagement during the COVID-19 pandemic.
This article contains information related to a recent study "Selective screening for detection of mucopolysaccharidoses (MPS) in Malaysia; A Two-year Study" Affandi et al., 2019. Any patient registered under government healthcare facilities in Malaysia and fit at least two inclusion criteria were included in this selective screening. Urine and blood from these high risk patients were obtained and analysed for glycosaminoglycans (GAGs) level before characterization using high resolution electrophoresis (HRE). Thereafter, enzyme assay for different types of MPS based on result of HRE were determined using specific substrate. Demographic data as well as laboratory findings were tabulated and analysed. The data of this study demonstrate between clinical presentation and laboratory findings among high risk patients of MPS and can be employed to improve diagnosis of MPS.
The data provided in the article contains bacterial community profiles present on the surface of red algae (Kappaphycus alvarezii) isolated directly after collection and after 30 days of cultivation in a closed circulation system. The explants of Kappaphycus alvarezii were cultivated in a laboratory setting under controlled growth conditions for 30 days in order to determine bacteria that could adapt to controlled culture conditions. Amplification and sequencing of bacterial 16S rDNA amplicon were performed on bacterial isolates associated with the seedlings. The 16S rDNA gene sequences were analyzed, trimmed, and assembled into contigs using DNA Baser Sequence Assembler (V5) software. Taxonomic identification for the assembled sequences was achieved using the online BLAST (blastn) algorithm, and the construction of a phylogenetic tree was performed using the MEGA7 software. The data reveals a distinct set of microbial variations between day one and day 30. The phylogenetic tree depicts four major clusters, Vibrio, Pseudoalteromonas, Alteromonas, and Bacterioplanes resident on the surface of the K. alvarezii. Comparison between these two bacterial groups provides evidence of the persistent marine bacteria that adapt to the long-term culture in closed circulation systems. Raw data files are available at the GenBank, NCBI database under the accession number of MZ570560 to MZ570580.
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.
The Internet Engineering Task Force provides a network-based mobility management solution to execute handover in heterogeneous networks on network-side called Proxy Mobile IPv6 (PMIPv6). In this data article, data are presented during the horizontal and vertical handover on video communication in PMIPv6 mobility protocols. The handover data are gathered using several measurement factors, which are latency, jitter, cumulative measured, and peak signal noise ratio under network simulation software, for both horizontal and vertical handovers [8].
This article contains data of the sequence variation in the mitochondrial DNA D-loop region of the Malayan gaur (Bos gaurus hubbacki), locally known as the seladang, from two captive centers. Thirty fecal samples of Malayan gaur were collected from Jenderak Selatan Wildlife Conservation Center (Pahang) and the Sungkai Wildlife Reserve (Perak) for DNA extraction and amplification with polymerase chain reactions. DNA sequences were then analyzed using neighbor joining (NJ) and maximum parsimony (MP) methods. Based on the 652 base pairs obtained, we found seven variable characters with a value of 1%. The genetic distance between the two captive centers was 0.001. Haplotype analyses detected only four haplotypes between these two captive centers. Both NJ and MP trees demonstrate that all individuals in the Jenderak and Sungkai captive centers are in the same clade. Genetic variation of the Malayan gaur in these centers is considered low, possibly because individuals share the same common parent. This sequence variation data are of paramount importance for designing a proper breeding and management program of the Malayan gaur in the future.
This dataset presents the validation process of a survey of factors affecting Indonesian K-12 school teachers' Teachers' Information and Communication Technology Access (TICTA). An initial instrument was developed through the adaptation of instruments from previous studies. Afterward, it was piloted to 120 teachers and tested for its reliability. For the main data collection, the instrument was distributed online and responded by 2775 Indonesian K-12 school teachers. The main data analysis was conducted for the measurement model using four assessments; reflective indicator loadings, internal consistency reliability, convergent, and discriminant validity. The Partial Least Square Structural Equation Model (PLS-SEM) was utilized for the analysis. The dataset is beneficial for educational regulators in providing appropriate access to ICT in K-12 education and for educational researchers for future research on technology access in teaching.
Polychloropolymethylstyrene (PCMS) polymers were synthesized with clay Cloisite and without clay Cloisite and chloromethylstyrene (CMS) combine with styrene (1:1) v/v or known as copolymer and clay Cloisite by the polymerization process. The attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectra of each polymer synthesized are reported. The spectra of IR shows the different value of the wavenumber and intensity for each set of different sample. The spectra can be as a reference for others to use in synthesizing this polymer and clay Cloisite for different type of application.
Parageobacillus caldoxylosilyticus, or previously identified as Geobacillus caldoxylosilyticus, is a thermophilic Gram-positive bacterium which can easily withstand growth temperatures ranging from 40 °C to 70 °C. Here, we present the first complete genome sequence of Parageobacillus caldoxylosilyticus ER4B which was isolated from an empty oil palm fruit bunch compost in Malaysia. Whole genome sequencing was performed using the PacBio RSII platform. The genome size of strain ER4B was around 3.9Mbp, with GC content of 44.31%. The genome consists of two contigs, in which the larger contig (3,909,276bp) represents the chromosome, while the smaller one (54,250bp) represents the plasmid. A total of 4,164 genes were successfully predicted, including 3,972 protein coding sequences, 26 rRNAs, 91 tRNAs, 74 miscRNA, and 1 tmRNA. The genome sequence data of strain ER4B reported here may contribute to the current molecular information of the species. It may also facilitate the discovery of molecular traits related to thermal stress, thus, expanding our understanding in the acclimation or adaptation towards extreme temperature in bacteria.
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.
Here, we report the draft genome sequence and assembly of the Penicillium sp. strain E22, which was isolated from Antarctic soil of Deception Island, South Shetland Islands close to the Antarctic Peninsula. The genome was sequenced using a 2 # 250 bp paired-end method by Illumina MiSeq 6000. The genome assembly was performed using softwares implemented in the Kbase web service. The phylogenetic tree of strain E22 comparing its internal transcribed spacer (ITS) region with the other Penicillium showed high genetic similarity to Penicillium griseofulvum MN545450 and Penicillium camemberti MT530220. Draf genome of Penicillium sp. strain E22 comprises 33,653 coding sequences, with a high G + C content of 48.32% and a total size of 37,484,944 bp. This draft genome assembly version has been deposited at GenBank under accession JASJUN000000000.
Phytochemical data for Ficus deltoidea Jack, a plant widely studied for its anti-hyperglycemic effect, are scarce. In the pursuit of characterizing the chemical constituents of this species, extraction and purifications were conducted using multiple chromatographic procedures on selected varieties (var. deltoidea, var. kunstleri and var. trengganuensis). Twenty-two constituents were unambiguously identified through NMR, MS and UV data. These included gallocatechin (S1), afzelechin-4-8″-gallocatechin (S2), catechin (S3), afzelechin-4-8″-catechin (S4), afzelechin (S5), epicatechin (S6), hovetrichoside C (S7), 6,8-di-C-glucopyranosylapigenin (vicenin-2) (S8), afzelechin-4-8″-epiafzelechin (S9), epiafzelechin (S10), 6-C-xylopyranosyl-8-C-glucopyranosylapigenin (vicenin-1) (S11), orientin (S13), schaftoside (S14), 6-C-glucopyranosyl-8-C-xylopyranosylapigenin (vicenin-3) (S16), vitexin (S17), vitexin 2″-O-rhamnoside (S19), isovitexin 2″-O-rhamnoside (S20), 6,8-di-C-arabinopyranosylapigenin (S21), 6,8-di-C-xylopyranosylapigenin (S22), 6-C-arabinopyranosyl-8-C-xylopyranosylapigenin (S23), rhoifolin (S24) and cerberic acid A (S26). The presented phytochemical data can assist ethnobotanists, chemists, and natural product researchers in investigating the medicinal properties of F. deltoidea by facilitating the dereplication of its constituents.
The dataset includes the particulars of 515 respondents on safety behavior during COVID-19. The questionnaires were adapted using Social Learning Theory and Social Exchange Theory. The variables included in dataset are Transactional Leadership (TSL), Transformational Leadership (TFL), Employee Well-Being (EWB) and Safety behavior (SB). Moreover, the dataset also contains the demographic profile of the respondents. Data was collected with the help of self-administered questionnaire from eight public hospitals in Punjab, Pakistan, namely Services Hospital Lahore, Sir Ganga Ram Hospital Lahore, Government General Hospital Faisalabad, DHQ Hospital Chiniot, Municipal General Hospital Sargodha, DHQ Hospital Jhang, DHQ Hospital Multan and Sulehri Children & General Hospital Sialkot. This dataset could provide a significant insight for future research in employee safety behavior.
The aim of the measurement of this data is to evaluate the Indoor Air Quality (IAQ) in terms of chemical and physical parameters. Data were collected at three different kindergartens having different surrounding activities (industrial, institutional, residential area). The chemical parameters measured were respirable suspended particulates of PM10, PM2.5, PM1, carbon monoxide and carbon dioxide, and the concentrations are within the acceptable limit. Physical parameters of wind speed are within the standard, while temperature and relative humidity exceeded the acceptable limit. A strong correlation was found between the chemical IAQ parameters with thermal comfort parameters (temperature and relative humidity). The concentration of IAQ pollutants is higher in order of residential > institutional > industrial.
This article presents data on digital adoption by enterprises in Malaysian industrial sectors during the COVID-19 pandemic. The data were collected during the periods of Conditional Movement Control Order (CMCO) and Recovery Movement Control Order (RMCO) from October 11 to December 31, 2020. Data collection was completed through an online questionnaire survey conducted among a sample of 432 enterprises from four industrial sectors, namely services, retail, manufacturing, and tourism, in all states in Malaysia. The sample was selected using cluster and systematic random sampling. The questionnaire asked respondents to state whether they used the Internet, computers, phones, web sites, e-payment, and e-commerce to complete their activities relating to finance, production and operations, human resource management, and marketing. The data were analysed using descriptive statistics and cross-tabulation. The data show the extent of digital adoption by Malaysian enterprises during the pandemic in comparison to the situation before the pandemic. The data may be of use to other similar researchers as comparison and to policy makers as guides in devising related policies.
Unsustainable consumption promotes discouraging patterns of consumption with negative impacts on society. It also contributes to inequalities and poverty. Unsustainable patterns of production and consumption undermine development goals in terms of inefficiency and overconsumption. This research explores the level of sustainable consumption of Malaysian households from the perspective of income and consumption expenditure. The analysis is based on cross-sectional data obtained from questionnaires distributed to 635 Malaysian households in eight districts in Terengganu (urban and rural areas) using stratified random sampling. The findings show that the level of sustainable consumption expenditure of Muslim households in Terengganu is still low. Achieving sustainable consumption patterns is more technically and politically complex than changing production patterns because it raises important issues such as human values, equity and lifestyle choices.
This article contains dataset on the behavior of international tourists when traveling is related to 1) tourist demographics, 2) things that affect tourists to choose travel destinations when planning, 3) use of mobile data while traveling, 4) how to get internet access while traveling, 5) social media used during traveling, and 6) behavior of smartphone use for tourists during traveling. The raw data presented here can be used as material to analyze the behavior of international tourists related to any media that affects international tourists in planning their trips, and how they behave during traveling. This data is a source of raw data from our research on smartphones and international tourist behavior, besides being used for various other research purposes.