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  • Appendix
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  • The paper concerns about health equity issue during and after COVID-19 pandemic.
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    • Image
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  • This research aims to identify the relevant resources for the composition of management and transaction capabilities in the context of micro and small enterprises (MSEs). The data refers to the survey applied to MSEs entrepreneurs to evaluate the resources. The data we analyzed using Confirmatory factor analysis (CFA) to verify how these resources contribute to the management and transaction capabilities, performed using the software R. The results demonstrate that management capability is composed of business-society and supplier relationships, leadership, information and knowledge sharing, and people management. And transaction capability is made up of the customer relationship and the results obtained by the firm.
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  • This repository provides additional data to accompany the paper: "Thermodynamics, Electronic Structure, and Vibrational Properties of Sn(n)[S(1–x)Se(x)](m) Solid Solutions for Energy Applications" D. S. D. Gunn, J. M. Skelton, L. A. Burton, S. Metz and S. C. Parker Chemistry of Materials 31 (10), 3672-3685 (2019), DOI: 10.1021/acs.chemmater.9b00362 This article examines the properties of four solid-solution models: Pnma and rocksalt Sn[S,Se], Sn[S,Se](2) and Sn(2)[S,Se](3). This repository makes available a full set of data for all of the ~5,000 symmetry-unique structures across the four sets of calculations, including: * Optimised structures; * Calculated total energies and degeneracies; * Calculated bandgaps and partial density of states (PDoS) curves; * Simulated dielectric functions; and * Data from lattice-dynamics calculations on selected structures. In addition, the thermodynamically averaged pair-distribution functions, PDoS curves, dielectric functions, and structural-similarity analyses presented in the paper, calculated based on a 900 K formation temperature, are also provided. Finally, the repository also contains sample input files for the Vienna Ab initio Simulation Package (VASP) code. For details of how this data was generated, viewers are referred to the published article and supporting information. Brief details of file formats and links to further documentation are given in the included README file.
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  • Supplemental data from the European EPIGROW Study.
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    • Tabular Data
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  • Data on effects of different anesthetics on vital signs of patients undergoing bronchoscopy.Systolic blood pressure, diastolic blood pressure, mean arterial pressure and heart rate of bronchoscopy patients were recorded before anesthesia, at the beginning of anesthesia, during anesthesia and at the end of anesthesia.These data reflect the change trend of vital signs after using different anesthetic drugs. It can provide reference for anesthesiologists in the face of different basic conditions of patients when choosing narcotic drugs.
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  • This repository provides additional data to accompany the paper: "Lattice dynamics of Pnma Sn[S(1-x)Se(x)] solid solutions: energetics, phonon spectra and thermal transport" J. M. Skelton, Journal of Physics: Energy 2, 025006 (2020), DOI: 10.1088/2515-7655/ab7839 This article examines the effect of alloying on the energetics, lattice dynamics and thermal transport of Pnma Sn[S,Se] solid solutions. This repository makes available a full set of lattice-dynamics calculations on ~1,300 structures across nine compositions, including: * Calculated phonon density of states (DoS) curves; * Unfolded band dispersions; * Thermodynamic functions; * Group velocities; and * Two-phonon joint density of states (JDoS) functions. In addition, the thermodynamically averaged DoS curves, unfolded dispersions, group velocities and JDoS functions discussed in the paper, calculated based on a 900 K formation temperature, are also provided. Finally, the repository also contains input files used for the calculations, including files for the Vienna Ab initio Simulation Package (VASP) and Phonopy codes. For details of how this data was generated, viewers are referred to the published article and supporting information. Brief details of file formats and links to further documentation are given in the included README file.
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    • Software/Code
    • Tabular Data
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    • File Set
  • Heat table with all 195 countries and territories ordered in a heat table with rows from highest (most wealthy) to lowest (least wealthy), and each country was numerically ranked in the world from 1 (red, highest DALYs) to 195 (blue, lowest DALYs) for each disease in 2017. MEL (melanoma), BCC (basal cell carcinoma), SCC (squamous cell carcinoma), ORA (oral/lip cancer), ACN (acne), PSO (psoriasis), SEB (seborrheic dermatitis), CON (contact dermatitis), ALO (alopecia areata), PRU (pruritus), DEC (decubitus ulcer), ATO (atopic dermatitis), URT (urticaria), CEL (cellulitis), PYO (pyoderma), VIR (viral skin disease), SCA (scabies), FUN (fungal skin disease), SYP (syphilis), HIV (Human Immunodeficiency Virus).
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  • This data was obtained from an assessment using an academic procrastination scale towards 586 students in the XIII semester at Makassar, Indonesia. Students respond to statements with a Likert-scale of 5,4,3,2,1, which represents strongly agree, agree, doubt, disagree, and strongly disagree, respectively.
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  • The presented cross-sectional dataset can be employed to analyze the governmental, trade, and competitiveness relationships of official COVID-19 reports. It contains 18 COVID-19 variables generated based on the official reports of 138 countries, as well as an additional 2163 governance, trade, and competitiveness indicators from the World Bank Group GovData360 and TCdata360 platforms in a preprocessed form. The current version was compiled on July 13, 2020. Please cite as: • Kurbucz, M. T. (2020). A Joint Dataset of Official COVID-19 Reports and the Governance, Trade and Competitiveness Indicators of World Bank Group Platforms. Data in Brief, 105881. Data generation: • Data generation (data_generation. Rmd): Datasets were generated with this R Notebook. It can be used to update datasets and customize the data generation process. Datasets: • Country data (country_data.txt): Country data. • Metadata (metadata.txt): The metadata of selected GovData360 and TCdata360 indicators. • Joint dataset (joint_dataset.txt): The joint dataset of COVID-19 variables and preprocessed GovData360 and TCdata360 indicators. • Correlation matrix (correlation_matrix.txt): The Kendall rank correlation matrix of the joint dataset. Raw data of figures and tables: • Raw data of Fig. 2 (raw_data_fig2.txt): The raw data of Fig. 2. • Raw data of Fig. 3 (raw_data_fig3.txt): The raw data of Fig. 3. • Raw data of Table 1 (raw_data_table1.txt): The raw data of Table 1. • Raw data of Table 2 (raw_data_table2.txt): The raw data of Table 2. • Raw data of Table 3 (raw_data_table3.txt): The raw data of Table 3.
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    • Software/Code
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    • Text