Biochar production is an effective approach to managing abundant agricultural wastes. Pruning wastes from trimming the branches of trees such as carambola and mango, as well as coconut shells, are among the agricultural wastes that have reutilisation potential, which would simultaneously reduce the space required for disposal. In this study, the potential use of these wastes by converting them into biochar was investigated. The data presented in this study highlight the design of a pyrolysis system for a low-temperature slow pyrolysis process, as well as the characterisation data of the biochar produced using this system. The data collected included the elemental composition, porosity, as well as surface and adsorption characteristics of the biochar. These data indicate that the biochar produced had certain qualities that would enable its use for specific agricultural and industrial purposes. Meanwhile, the design indicated that it could facilitate small farms with specific outputs. In brief, these data can be used as references for developing a small-scale system for agricultural waste management using different types of crops.
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.
Green honey, was discovered on Banggi Island, Sabah, showing high in essential amino acids and chlorophyll derivatives. Despite its lucrative market potential owing to its distinctive color, uncertainties persist regarding its nature. This study leverages amplicon sequencing by targeting micro- and macro-organisms present in honey environmental DNA (eDNA) using Internal Transcribed Spacer 2 (ITS2) region, enabling the identification of floral and microorganism sources that represent the honey's composition. The investigation into green honey from Banggi Island concerns the prevalence of honey adulteration and authenticity for economic gain. Adulteration methods, such as the addition of sugar syrups, compromise honey purity. Using a sequencing approach would help in determining the geographic origin and verifying the authenticity of the honey. The study aims to identify plant species or microorganisms in honey's eDNA. To authenticate honey, we utilized ITS2 with Illumina sequencing, exploring the diversity of green honey samples. Raw sequence reads obtained for the green honey sample revealed 1,438,627 raw reads, with a GC average of 49.22 %. A total of 44 amplicon sequence variances (ASVs) were identified, including three genera: Zygosaccharomyces with two species, Fraxinus with three species, and the genus Ficaria with only one species. Their respective relative abundances were 98.55%, 0.94%, and 0.51%. Zygosaccharomyces rouxii and Zygosaccharomyces mellis were identified as the pre-dominant yeast species in honey, while the Fraxinus and Ficaria genus represent common plant species in Sabah, particularly in Banggi Island. The dominance of Zygosaccharomyces species aligns with their known prevalence in honey, affirming the reliability of our findings. The presence of Fraxinus and Ficaria in the honey sample correlates with its abundance in the local environment. This amplicon sequencing approach not only contributes to our understanding of green honey composition but also serves as a valuable resource for authenticating honey origin in Malaysia, particularly for green honey from Banggi Island, Sabah. Our study pioneers the application of ITS2 amplicon sequencing for green honey amplicon sequencing, providing valuable insights into its composition and origin. This methodology, with a focus on eDNA, contributes to the authentication and quality determination of honey in Malaysia, addressing the pressing concerns of adulteration and variability in production practices.
In this investigation, the study focused on the RNAseq data generated in response to Fusarium oxysporum f.sp. cubense (Foc) race1 (Cavendish infecting strain VCG 0124), targeting both resistant (cv. Rose, AA) and susceptible cultivars (Namarai, AA), and Tropical Race 4 (TR4, strain VCG 01213/16), involving resistant (cv. Rose, AA) and susceptible cultivars (Matti, AA). The respective contrasting cultivars were independently challenged with Foc race1 and TR4, and the root and corm samples were collected in two replications at varying time intervals [0th (control), 2nd, 4th, 6th, and 8th days] in duplicates. The RNA samples underwent stringent quality checks, with all 80 samples meeting the primary parameters, including a satisfactory RNA integrity number (>7). Subsequent library preparation and secondary quality control steps were executed successfully for all samples, paving the way for the sequencing phase. Sequencing generated an extensive amount of data, yielding a range of 10 to 31 million paired-end raw reads per sample, resulting in a cumulative raw data size of 11-50 GB. These raw reads were aligned against the reference genome of Musa acuminata ssp. malaccensis version 2 (DH Pahang), as well as the pathogen genomes of Foc race 1 and Foc TR4, using the HISAT2 alignment tool. The focal point of this study was the investigation of differential gene expression patterns of Musa spp. upon Foc infection. In Foc race1 resistant and susceptible root samples across the designated day intervals, a significant number of genes displayed up-regulation (ranging from 1 to 228) and down-regulation (ranging from 1 to 274). In corm samples, the up-regulated genes ranged from 1 to 149, while down-regulated genes spanned from 3 to 845. For Foc TR4 resistant and susceptible root samples, the expression profiles exhibited a notable up-regulation of genes (ranging from 31 to 964), along with a down-regulation range of 316-1315. In corm samples, up-regulated genes ranged from 57 to 929, while down-regulated genes were observed in the range of 40-936. In addition to the primary analysis, a comprehensive secondary analysis was conducted, including Gene Ontology (GO), euKaryotic Orthologous Groups (KOG) classification, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and investigations into Simple Sequence Repeats (SSRs), Single Nucleotide Polymorphisms (SNPs), and microRNA (miRNA). The complete dataset was carefully curated and housed at ICAR-NRCB, Trichy, ensuring its accuracy and accessibility for the duration of the study. Further, the raw transcriptome read datasets have been successfully submitted to the National Center for Biotechnology Information - Sequence Read Archive (NCBI-SRA) database, ensuring the accessibility and reproducibility of this valuable dataset for further research endeavors.
The growth performance and survival rates of juvenile striped catfish, Pangasianodon hypophthalmus, reared at various levels of pH and temperature were described in this article. Two rearing trials were conducted separately for pH and temperature where both trials lasted for 35 days. One hundred and twenty juveniles (1.5 ± 0.23 g) were randomly stocked into 12 rectangle glass aquariums (n = 10 fish/tank; three replicates per treatment) with 100 L of water for each trial. The treatment consisted of four different pH level (7.5, 8.0, 8.5 and 9.0) and four different temperature level (26 °C, 28 °C, 30 °C and 32 °C). The survival of fish was counted at the end of experiments, and the weight of the juvenile was measured once a week. The quantification of feed intake was determined through the measurement of the residual weight of the feeds after the feeding process. Upon the conclusion of the experiment, the data pertaining to weight and feed intake were utilized to calculate the specific growth rate (SGR) and food conversion ratio (FCR) as indicators of growth performance. Additionally, the number of live fish was employed to ascertain the survival rate. The data obtained from the calculation of SGR, FCR and survival rate were next subjected to a normality test, one-way analysis of variance (ANOVA), and a Tukey post-hoc test. The information in this article will help in the business, experimental, and personal usage for P. hypophthalmus juveniles rearing process.
The field of space weather research has witnessed growing interest in the use of machine learning techniques. This could be attributed to the increasing accessibility of data, which has created a high demand for investigating scientific phenomena using data-driven methods. The dataset, which is based on bibliographic records from the Web of Science (WoS) and Scopus, was compiled over the last several decades and discusses multidisciplinary trends in this topic while revealing significant advances in current knowledge. It provides a comprehensive examination of trends in publication characteristics, with a focus on publications, document sources, authors, affiliations, and frequent word analysis as bibliometric indicators, all of which were analysed using the Biblioshiny application on the web. This dataset serves as the document profile metrics for emphasising the breadth and progress of current and previous studies, providing useful insights into hotspots for projection research subjects and influential entities that can be identified for future research.
This paper presents a dataset of bird's eye chilies in a single farm for semantic segmentation. The dataset is generated using two cameras that are aligned left and right forming a stereo-vision video capture. By analyzing the disparity between corresponding points in the left and right images, algorithms can calculate the relative distance of objects in the scene. This depth information is useful in various applications, including 3D reconstruction, object tracking, and autonomous navigation. The dataset consists of 1150 left and right compressed images extracted from ten sets of stereo videos taken at ten different locations within the chili farm from the same ages of the bird's eye chilies. Since the dataset is used for semantic segmentation, the ground truth images of manually semantic segmented images are also provided in the dataset. The dataset can be used for 2D and 3D semantic segmentation of the bird's eye view chili farm. Some of the object classes in this dataset are the sky, living things, plantation, flat, construction, nature, and misc.
Dataset in this article contains solid information on the novel dataset of exceptional women directors (EWDs) and carbon information disclosures (CID) of global energy leading companies. The data presented is related to the research article entitled "The Effect of Women's Leadership on Carbon Disclosure by the Top 100 Global Energy Leaders" [1]. In exploring the degree of EWDs' and the level of CID, the content analysis technique based on the enhanced scoring indicators were deployed to obtain the data of the 97 companies based on accessible materials from companies' websites or any associated reports such as sustainability, environmental, annual, or integrated reports within three-year periods (2018 - 2020) for the global energy leading companies which listed in Thomson Reuters Database 2017. Data on EWDs' engagement and CID are extracted from the available information, reports, and materials. The data are collected based on the enhanced version of the EWD's indicators adapted from Ramon Llorens, García-Meca and Pucheta-Martínez [2], Hillman, Cannella and Paetzold [3], and Jaaffar and Amran [4]. Meanwhile, data collected for CID by using Carbon Disclosures Index (CDI) comprising 90 scores within nine aspects; Strategy and Policy; Climate Change Risks and Opportunities; Corporate GHG Emissions Targets; Company Wide Carbon Footprint; GHG Emissions Change Over Time; Energy-Related Reporting; Emission Reduction Initiatives Implementation; Carbon Emission Accountability; and Quality of Disclosure as suggested by the prior scholars [5], [6], [7]. This dataset shed light as an indicator to measure exceptional women director in the energy companies in promoting transparent carbon disclosure performance as well as boosting women leadership involvement and participation in the most polluting sector which aligned with the United Nations Sustainable Development Goals; SDG 5 gender equality, SDG 10 reduced inequality, and SDG 13 climate action.
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.
The article presents data on the quantification of gallic acid (GA) and the assessment of the antioxidant and anti-inflammatory properties of Kacip Fatimah (Labisia pumila Benth. & Hook. f.) leaves using various solvents. GA was quantified using high-performance liquid chromatography analysis. Total phenolic content (TPC) was assessed using the Folin-Ciocalteu method. The antioxidant activities were evaluated using xanthine oxidase superoxide (XOD-Superoxide) and 2,2-diphenyl-1-picrylhydrazyl (DPPH) assays, while anti-inflammatory activities were examined through lipoxygenase (LOX) and xanthine oxidase (XOD) inhibition assays. Results showed that the water-extracted sample had the highest GA and TPC among the solvents tested, along with the strongest inhibition activities in the XOD-Superoxide and DPPH assays. Both water and ethanol extracts showed significant inhibitory activities in the LOX assay but were inactive in the XOD assay. These findings suggest that the bioactivity of L. pumila leaf extract is associated with GA and TPC. GA and TPC strongly correlated with antioxidant and anti-inflammatory activities, except for the XOD assay. The dataset highlights the potential dietary benefits of L. pumila leaves as a natural source of antioxidants and anti-inflammatory properties for pharmaceutical and nutraceutical applications.
This paper provided the dataset obtained from spectroscopic, crystallography and DFT of a new compound namely 1,2-bis[N,N'-6-(4-pyridylmethylamido)pyridyl-2-carboxyamido]butane. This compound is prepared from the reaction between N-6-[(4-pyridylmethylamino)carbonyl]-pyridine-2-carboxylic acid methyl ester with butane-1,4-diamine. The preparation of this compound is modified from the method described in our article [1]. In this work, we present data characterization of 1,2-bis[N,N'-6-(4-pyridylmethylamido)pyridyl-2-carboxyamido]butane from Fourier Transform Infrared (FTIR), 1H Nuclear Magnetic Resonance (1 H NMR), NOESY NMR, 13C Nuclear Magnetic Resonance (13C NMR), and elemental analysis (CHNS). The structure of this molecule is also analysed by X-ray crystallography and DFT studies. A single-crystal X-ray diffraction investigation was carried out by using Bruker SMART Apex II Duo CCD area-detector diffractometers with MoKα radiation (wavelength of λ = 0.71073 Å). The optimized energy was indicated with GaussView 5.0 and Gaussian 16 software package programme.
This sedimentary logging and facies characterized dataset of 28 outcrops exposed along Kuala Tahan - Kampung Pagi - Kampung Bantal which is situated in the central part of Peninsular Malaysia (in the state of Pahang). This dataset is recorded in 2017 during the construction of roadway. It consist of Mangking Formation of Tembeling Group with the total length of 410 m. The outcrops are arranged into 8 continuous sections. This data can be further correlated stratigraphically to produce composite log, facies analysis, depositional processes, and the depositional environment.
The dataset was obtained from a time cross-sectional empirical survey to determine the intention to participate in Family Takaful (Solidarity) products. The survey was collected from 277 academicians in private Islamic Higher Education Institutions in Malaysia, with 272 valid cases. The academicians were chosen because of the various education levels, as education is an influential factor in many previous behavioural studies. The questionnaire was developed using scales based on the previous literature, such as intention, attitude, subjective norms, perceived behavioural intention and institutional trust. The reliability and validity of all variables indicated that the measurement items were appropriate. This dataset brought a novelty by conceptualizing the institutional trust construct to predict the customers' intention to participate in Family Takaful (Solidarity) products. Results indicated that the data is suitable for performing replication studies.
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.
The dataset currently available comprises data on the removal rates of heavy metals (Ba, Se, Cr, Fe, Cd, As, and Co) through the incorporation of seashells and palm oil kernel shells into pervious concrete for stormwater treatment. Stormwater runoff was collected from commercial areas in Taman University, Skudai, Johor, Malaysia. The stormwater samples underwent filtration and were preserved in high-density polyethylene (HDPE) bottles at a temperature of 4 °C for use as incoming water. The outgoing water, referred to as effluent, was obtained from tests performed on pervious concrete samples after a curing period of 28 days. The pervious concrete mixes were created with a water-to-binder ratio (w/b ratio) of 32% and a sand ratio of 10%. Three different levels of palm oil kernel shell and seashell content were used as coarse aggregate replacements: 0%, 25%, and 50%. Two single-size group were considered for both palm oil kernel shell and seashell: (6.3-9.5 mm) and (4.75-6.3 mm). Heavy metal analyses were conducted on the influent and effluent using a PerkinElmer ELAN 6100 Series Inductively Coupled Plasma- Mass Spectrometer (ICP-MS). The available datasets consist of both raw and analyzed data.
This data evaluated the capacity of Bacillus spp. isolated from Thai milk kefir to produce exopolysaccharide (EPS) on cassava pulp and tested its antioxidant and antibacterial properties. Thailand's starch industry generates million tons of cassava pulp, which is underutilized or bio-transformed into higher-value bioproducts. Antioxidant and antibacterial bacterial exopolysaccharides are beneficial in the food, feed, pharmaceutical, and cosmetic industries. Moisture, ash, fat, protein, fiber, starch, sugar, neutral detergent fiber (NDF), acid detergent fiber (ADF), and acid detergent lignin (ADL) were analyzed from cassava pulp as an EPS substrate. After 3 days of bacterial fermentation, EPS generation, culture pH, reducing sugar amount, and bacterial count were recorded. Antioxidant activities and bioactive content including hydroxyl radical scavenging activity, 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity, ferric reducing antioxidant power (FRAP), total phenolic and flavonoid content (TPC and TFC), and antimicrobial activity against two Nile tilapia pathogens (Streptococcus agalactiae and Staphylococcus aureus) from different Bacillus species were evaluated. Proximate analysis, dinitrosalicylic acid assay, pH value record, bacterial count using spread plate method, antioxidant activity and bioactive content assays via spectrophotometry, and agar disk diffusion were the main approaches. This study used microbial cell factories to convert agro-biowaste, such as cassava pulp, into EPS bioproducts which accords with a bio-circular green economy model.
This article presents a comprehensive dataset extracted from published annual, sustainability and integrated reports, focusing on environmental (GRI300) and social (GRI400) disclosures, for the top 100 Malaysian public listed companies (based on Market Capitalization as of 31 December 2016). The dataset covers three years (2018 to 2020) with 300 firm-year observations. Environmental and Social disclosure scores were calculated using the Global Reporting Initiative (GRI) framework and derived from the content analysis of the companies' reports accessed from respective corporate or Bursa Malaysia's websites. A binary scoring method (one for disclosure or zero, otherwise for each environmental and social disclosure item) was employed. This scoring process underwent three stages of rigorous manual verification protocol: initial check and scoring by research assistants, review by the research team, and a final review by an independent external accounting firm for validation. This dataset is valuable for academics, practitioners, and policymakers to evaluate corporate alignment with UN Sustainable Development Goal (SDG) #12, encouraging Responsible Consumption and Production, and shape strategic policies to meet Bursa compliance for enhanced corporate sustainability. It further aids in investigating associations between governance factors and other firm characteristics with environmental and social disclosures.
Tumorous cancer has been a widely known and well-studied medical phenomenon; however, rare diseases like Myeloproliferative Neoplasm (MPN) have received less attention, leading to delayed diagnosis. Despite the availability of advanced technology in diagnostic tools that can boost the procedure, the morphological assessment of bone marrow trephine (BMT) images remains critical to confirm and differentiate MPN subtypes. This paper reports a histopathological imagery dataset that was created to focus on the most common MPN from the Philadelphia Chromosome (Ph)-negative type, namely Essential Thrombocythemia (ET), Polycythemia Vera (PV), and Primary Myelofibrosis (MF). The dataset consisted of 300 BMT images that can be used to enable computer vision applications, such as image segmentation, disease classification, and object recognition, in assisting the classification of the MPN disease. Ethical approval was obtained from the Ministry of Health, Malaysia and the bone marrow trephine images were captured using a digital microscope from the Olympus model (BX41 Dual head microscope) with x10, x20, and x40 lens types. The development of comprehensive tools deployed from this dataset can assist medical practitioners in diagnosing diseases, thus overcoming the current challenges.
The Amomum genus comprises of perennial, tropical, herbaceous plants that are distributed globally and possess both medicinal and ornamental properties. These plants contain a variety of secondary metabolites, including compounds with antioxidant and antimicrobial properties. This is the first transcriptomic analysis of seven Amomum species from Peninsular Malaysia, utilizing leaves, stems, and roots as sample material. Paired-end Illumina HiSeq technology was used for data generation which includes raw data, cleaned reads, de novo assembly, and functional annotation. The data is accessible via NCBI BioProject (PRJNA936673).
The data belongs to a sample of 201 frontline workers in Malaysia. This demographic data was collected using a cross-sectional questionnaire via an online survey and analyzed using SPSS version 25. This data was used to investigate the relationship between workplace incivility, emotional exhaustion and adaptive performance (handling emergencies, handling work stress, creative problem solving, learning new tasks, technology and procedure and demonstrating interpersonal adaptability) among frontline workers. The analyzed data will be useful in contributing to further research into the effects of workplace incivility on employees' well-being and job performance. It will also give insights to stakeholders and those at managerial level who formulate appropriate intervention plans to overcome or reduce the issue of workplace bullying among frontline workers.