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  • Raw data, syntax, output and codebooks of Studies 1-4 of replication effort.
    Data Types:
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    • Dataset
    • Document
  • Data acquired from an online survey, conducted from 5-20 May 2020. This data aimed to evaluate psychological wellbeing among Greater Jakarta Area residents using DASS-21, where we implemented linear regression to estimate such score using sociodemographic data. We also addressed misconception regarding COVID-19 and estimate correct / incorrect responses using Poisson regression models. Finally, we confirm the presence of communities with different commuting tendency using a graph-based analysis.
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
  • Phylogenetic tree for Gelechioidea. The tree was constructed using nucleotide sequences of 13 protein-coding genes, two rRNA genes, and 22 tRNA genes via the Bayesian inference method. The numbers at each node indicate the Bayesian posterior probabilities. The scale bar indicates the number of substitutions per site. Two species belonging to the family Gracillariidae in Gracillarioidea were used as outgroups. GenBank accession numbers are as follows: Perimede sp., KJ508041 (Timmermans et al. 2014); Ethmia eupostica, KJ508047 (Timmermans et al. 2014); Helcystogramma macroscopa, KT354968 (Ma et al. 2016); Dichomeris ustalella, KU366706 (Park et al. 2016b); Pectinophora gossypiell, KM225795 (Zhao et al. 2016); Tecia solanivora, KT326187 (Ramírez-Ríos et al. 2016); Mesophleps albilinella, KU366707 (Park et al. 2016b); Promalactis suzukiella, KM875542 (Park et al. 2016c); Stathmopoda auriferella, KX138529 (Jeong et al. 2016); Hieromantis kurokoi, KU605775 (Park et al. 2016a); Atrijuglans hetaohei, KT581634 (Wang et al. 2016); Endrosis sarcitrella, KJ508037 (Timmermans et al. 2014); Oegoconia novimundi, KJ508036 (Timmermans et al. 2014); Phyllonorycter froelichiella, KJ508048 (Timmermans et al. 2014); and Cameraria ohridella, KJ508042 (Timmermans et al. 2014).
    Data Types:
    • Slides
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  • Background: Aging and retirement are a passaging to a new course of life for veterans. Population aging has made significant changes in the composition of families and it affects the health of the family members. The role of army grandparents in relationships with their adult children is important in providing for their living needs and the need for research into grandparent-adult children interactions during retirement. There was no Iranian version of an instrument to measure this interaction. Therefore, the study was aimed to evaluate the psychometric properties of the Persian version of the Perceived Parenting Roles Inventory (PPRI-2019). Methods. The process of translating was conducted based on WHO’s guidance of instruments translation and adaptation. A total of 251 grandparents were randomly selected from Iranian Veterans Association. The PPRI and demographic questionnaire were used to gather data at the end of 2019. The scale structure was evaluated by using confirmatory factor analysis (CFA). Internal consistency was assessed by Cronbach’s alpha and the optimal cut-off points were obtained by calculating the area under the curve (ROC). Data were analyzed using IBM-SPSS version 26 and AMOS version 24 Results: The construct validity of PPRI based on CFA showed that the two subscales explained a total of 73.017 % of the variance. The PPRI scale demonstrated excellent reliability and the Cronbach’s alpha obtained 0.792 for the entire scale (p< 0.000). The optimal cut-off point of PPRI was 19.50, with a sensitivity of 100%, a 1-specificity of 0.127. Conclusions: Based on the results, the Persian version of PPRI is a valid and reliable tool that can be utilized by other researchers to measure perceived parenting roles. But further investigations are suggested.
    Data Types:
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  • Research data
    Data Types:
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  • The outbreak of coronavirus and the infectious disease it causes (COVID-19) have taken different paths around the world, with countries experiencing different rates of infection, case prevalence and mortality. This simultaneous yet heterogenous process presents a natural experiment for understanding some of the reasons for such different experiences of the same shock. This paper looks at the privatization of healthcare as one key determinant of this pattern. We use a cross-section dataset covering 147countries with the latest available data. Controlling for per capita income, health inequality and several other control variables, we find that a 10% increase in private health expenditure relates to a 4.3% increase in COVID-19 cases and a 4.9% increase in COVID-19 related mortality. Globalization also has a small positive effect on COVID-19 prevalence, while higher hospital capacity (in beds per 1,000 people) is significant in lowering COVID-19 mortality. The findings suggest caution regarding policies which privatize healthcare systems in order to boost efficiency or growth in the short-run, as these reduce countries' long-term preparedness for dealing with pandemics.
    Data Types:
    • Software/Code
    • Dataset
  • Raw images from western blots, immunofluorescence microscopy and EM.
    Data Types:
    • Slides
    • Image
    • Video
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  • It involves raw data and preprocessed files used for statistical analysis and the training of computational models. Please see the readme.txt files under each folder to get further information about the files inside that folder.
    Data Types:
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  • This is a small Word2Vec Model n-gram (n= 1-3) built from Twitter chatter about COVID-19. The objective of this model is to capture semantic representations of COVID-19-related concepts. We will be updating this dataset over time. Please see the following script if you are having difficulty loading the model: https://bitbucket.org/asarker/lexexp
    Data Types:
    • Software/Code
    • Dataset
  • As seguintes hipóteses foram testadas: H1: MILITARES MAIS MOTIVADOS COM A INSTITUIÇÃO TÊM MENOR INTENÇÃO DE ROTATIVIDADE H2: MILITARES IDENTIFICADOS MAIS FAVORAVELMENTE COM A INSTITUIÇÃO TÊM MENOR INTENÇÃO DE ROTATIVIDADE. Para a análise dos dados coletados a partir do questionário anexado, foram utilizadas análises estatísticas descritivas e inferenciais, sendo estas últimas fundamentadas na análise fatorial, teste de correlação, regressão linear múltipla e Teste t. A amostra final foi composta por 388 militares da área finalística e de apoio de uma instituição das Forças Armadas. Os resultados mostraram que a motivação não mostrou relação significativa com a intenção de rotatividade, tendo sido apenas a identificação organizacional confirmada como variável preditora.
    Data Types:
    • Software/Code
    • Dataset
    • Document