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  • College students were asked about their online dating habits and body image
    Data Types:
    • Software/Code
    • Dataset
  • This study aimed to investigate the associations between teachers’ flourishing at work, their perceived stress, their strategies to deal with stress, and their intention to leave their jobs. A convenience sample of teachers (n = 209) in South Africa participated in a survey. The Flourishing at Work Scale – Short Form, Perceived Stress Scale, Brief COPE Inventory, and Workplace Evaluation Questionnaire were administered.
    Data Types:
    • Other
    • Software/Code
    • Geospatial Data
    • Dataset
    • Document
    • Text
  • Numerical thermal diffusivity fields of GnP/Epoxy nanocomposite specimens produced as part of a 3-year PhD research programme at the School of Materials, University of Manchester and funded by the President’s Doctoral Scholar (PDS) Awards scheme. Raw data of the fields to support the submission of the work "Transient conduction for thermal diffusivity simulation of a graphene/polymer and its full-field validation with image reconstruction" in the Journal of "Composite Structures".
    Data Types:
    • Software/Code
    • Dataset
  • Developed MATLAB code and simulation data for the Mozart effect study. The code requires the Bayesian topology identification code and the MVGC toolbox to run (see references).
    Data Types:
    • Software/Code
    • Dataset
  • This study aimed to investigate the relationships between job crafting, psychological need satisfaction/frustration, thriving, and job insecurity of academics in higher education institutions. A survey with a convenience sample of 276 academic staff at three higher education institutions in South Africa was used. The participants completed the Job Crafting Scale, Basic Psychological Need Satisfaction and Frustration Scale, High-Performance Human Resource Practices Questionnaire, and Thriving at Work Scale.
    Data Types:
    • Other
    • Software/Code
    • Geospatial Data
    • Dataset
    • Document
    • Text
  • The data consist of an application, namely PyFEST, written in Python language, and a file with instructions to install and use the application. It can be used to estimate the frequencies of short-time signals with high accuracy. Along with the application, examples with generated signal (single-ton, multi-tone, noisy, damped etc.) and measured signals are delivered for testing purposes. The frequencies of the harmonic components are evaluated one-by-one with high accuracy. Because the actions performed do not imply previous expertise, the results are not influenced by human intervention.
    Data Types:
    • Other
    • Software/Code
    • Tabular Data
    • Dataset
    • Text
  • The paper focuses on the increasing incidence of working poor families in Nigeria. Data from the ILO and NBS suggest that, not only is the number of working poor families in Nigeria increasing, it is increasing despite governments efforts at increasing the number of jobs created through the National Economic Recovery Growth Plan (ERGP). This point to the assertion that, removing working poor families out of poverty will not solely depend on their being employed. The paper uses data from Nigeria’s General Household Survey (2018/2019 to characterize inducing factors of working poor families in Nigeria. The estimated results suggest that female – headed households, polygamous and divorced households, individuals who have never been married, size of employment establishment, and household expenditures, are inducing factors of the increase in working poor families in Nigeria. We recommend the supplementing of working poor families incomes through Living wage Laws and the establishment of a Contributory Savings Accounts. Extending health coverage through the establishment of State Health Insurance Schemes and the provision of affordable and quality housing through a state guaranteed Mortgage Schemes.
    Data Types:
    • Software/Code
    • Dataset
  • The maximum distance at which an electromagnetic (EM) logging while drilling (LWD) tool senses an approaching boundary is considered to be the depth of detection (DOD). Achieving a large DOD while keeping the tool itself compact is what we have always pursued. We proposed a novel transient multicomponent EM LWD method and studied its capability in detecting the formation boundary. Instead of using the transient triaxial measured data directly, a time domain detection mode is defined to sense the boundary. DOD of this time domain EM LWD method can reach tens of meters with a compact transmitter-receiver spacing. Based on the polarity of the signal, directional measurements can also be achieved. In addition, we find that the cross component decays much faster than the coaxial or coplanar components with time in the formation coordinate system. Thus, an algebraic method is proposed to determine the relative dip angle of stratified formation and the inversion process can be avoided. Theoretical simulation results indicate that this determination method obtains the true value at some particular moments. And it is still stable and valid even when considering some random measurement errors. Moreover, linear relationship between the distance to the boundary (DTB) and the time we measure it is established, providing a method to quickly determine the DTB.
    Data Types:
    • Software/Code
    • Image
    • Dataset
  • IPUMS CPS extract and do file for brief calculations on unemployment and incomes (individuals/households projected to have high incomes but now unemployed for April 2020).
    Data Types:
    • Software/Code
    • Dataset
  • This dataset presents the hiking and climbing opportunities diversity existent at Serra dos Órgãos National Park, Brazil, collected using participatory mapping approaches (Voluntary Geographic Information, Public Participation in Geographic Information Systems and secondary sources). Each trail on the park’s network was classified according to trail management categories. The dataset includes two files: the excel inventory and the KMZ. Data in Portuguese.
    Data Types:
    • Geospatial Data
    • Tabular Data
    • Dataset
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