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  • This dataset contains a series of MATLAB codes in which the friction coefficient of pure phyllosilicate gouges is predicted as a function of porosity and grain size, relative humidity, normal stress and slip velocity. The codes are based on a microphysical model for phyllosilicate friction that assumes that shearing is controlled by sliding along (001) grain/platelet interfaces operating in series with removal of overlapping grain edge barriers by basal cleavage. Please see our publication in Journal of Geophysical Research - Solid Earth for details.
    Data Types:
    • Software/Code
    • Dataset
  • Data and files used in our study,
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
    • Document
  • Do you lose control by investing in risky securities? Are low risky investments the best options for those who like to play it safe? Why do people speculate in risky assets? What is value investing and why do legends like Warren Buffet and Peter Lynch prefer value investing? This research will address these questions and will focus on busting the financial myth of “You need to speculate to accumulate”. It will analyze the returns generated by stocks having high risk and stocks having low risk linked to a real-time basis by taking the historical prices. The paper will conduct hypothesis testing regarding the statement proposed that whether risky investments generate higher returns or not. The research will give light on Low-volatility anomaly and will provide a solution in determining which kind of stock will be a safer bet to generate higher returns in a longer time frame. The research will consider the financials of the riskiest stocks in the past few years and will analyze their return accordingly.
    Data Types:
    • Slides
    • Tabular Data
    • Dataset
  • This dataset contains data drawn from Thomson Reuters Datastream for the Turkish Lira against the currencies of its major trade partners: Germany, Russia, China, Italy, and UK. The time series cover the period from March 1996 to October 2019. Associated with the dataset is the R code used for running the wavelet coherence of the exchange rate pairs and plotting the Time-Frequency domain plots.
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
  • This dataset consists of raw sequencing data (fasta) and analysed relative abundance data (histograms of the dominant 10 species in respective taxonomic ranks ). This project shows the first bacterial diversity profiling of high-microbial-abundance wild tropical marine sponges of southern South China Sea, which are Aaptos aaptos and Xestospongia muta from Bidong and Redang islands, Malaysia. Marine sponges are acknowledged as a bacterial hotspot and resource of novel natural products or genetic material. However, sponge-associated bacteria are difficult to be cultivated and the production of their desirable metabolites are inadequate in terms of rate and quantity, yet bioinformatics and metagenomics tools are progressing. Therefore, the diversity profiling of bacterial communities in marine sponges reveals the approximate gene pool for the gene mining or isolation of bacteria that are potentially and commercially beneficial in manufacturing industry, medicine, or agriculture. The bacterial community data exploited from this project is useful for critical comparison through additional or integrated bioinformatics processing with other marine sponge-associated bacterial community profile data. The community data of this project also unveils some general physiological function of the sponge-associated bacterial assemblage in its local environment. In the data provided, the sponge-associated bacterial communities in A. aaptos of Pulau Bidong, A. aaptos of Pulau Redang, and X. muta of Pulau Bidong have been denoted by A, B, and M, respectively.
    Data Types:
    • Other
    • Software/Code
    • Image
    • Sequencing Data
    • Tabular Data
    • Dataset
    • Document
    • Text
  • Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
    • Document
  • KDM2B is a JmjC domain H3K36me2/H3K36me1 demethylase, which immortalizes cells in culture and contributes to the biology of both embryonic and adult stem and progenitor cells. It also functions as an oncogene that contributes to the self-renewal of breast cancer stem cells by regulating polycomb complexes. Here we show that the silencing of KDM2B results in the downregulation of SNAI2 (SLUG), SNAI1 (SNAIL) and SOX9, which also contribute to the biology of mammary stem and progenitor cells. The downregulation of these molecules is posttranscriptional and in the case of the SNAI2-encoded SLUG, it is due to calpain-dependent proteolytic degradation. Mechanistically, the latter depends on the activation of calpastatin-sensitive classical calpain(s) and on the phosphorylation-dependent inhibition of GSK3 via paracrine mechanisms. GSK3 inhibition sensitizes its target SLUG to classical calpains, which are activated by Ca2+ influx and calpastatin down regulation. The degradation of SLUG, induced by the KDM2B knockdown, promotes the differentiation of breast cancer stem cells in culture and reveals an unexpected mechanism of stem cell regulation by a histone demethylase.
    Data Types:
    • Software/Code
    • Image
    • Dataset
    • File Set
  • Raw 16S rRNA sequence data (Illumina fastq and .biom file created in Qiime), volatile organic compound metabolome data from the colon contents of horses with and without Anoplocephala perfoliata (tapeworm). The meta table containing sample labels and groups is also included.
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
    • File Set
  • Database used to article The disease of corruption: Missing funds and health conditions in Brazilian municipalities, the name of variable are in portuguese
    Data Types:
    • Software/Code
    • Dataset
  • The dataset provides five types of k-mers genome representation characterized as k-mers count 1D, k-mers probability 1D, k-mers count 2D, k-mers probability 2D, and k-mers image. The dataset is composed of 1557 virus instances of SARS-CoV-2. Besides, the dataset also provides a data stream of 11540 viruses from the Virus-Host DB dataset and the other three Riboviria viruses from NCBI (Betacoronavirus RaTG13, bat-SL-CoVZC45, and bat-SL-CoVZXC21).
    Data Types:
    • Software/Code
    • Image
    • Tabular Data
    • Dataset
    • File Set
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