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  • The Excel File and Mat File contain the raw and transformed data that we used in our paper 'Financial Wealth, Investment and Sentiment in a Bayesian DSGE Model'.
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
  • Data and code files for manuscript submitted to the Journal of Theoretical Biology.
    Data Types:
    • Other
    • Software/Code
    • Dataset
  • Hardware design for build a Step Width System Capture
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    • Software/Code
    • Geospatial Data
    • Image
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  • Open data and R analysis scripts for the paper as submitted for publication: "Poppelaars, E. S., Klackl, J., Scheepers, DT, Mühlberger, C., & Jonas, E. (2019). Reflecting on existential threats elicits self-reported negative affect but no physiological arousal." A dataset of 171 undergraduate students were randomly allocated to one of four existential threat conditions: mortality salience, freedom restriction, uncontrollability, and uncertainty; or to the non-existential threat condition: social-evaluative threat; or to a control condition (TV salience). Three facets of arousal were measured: positive and negative affect before and after reflection, subjective arousal during baseline and reflection, and physiological activation during baseline and reflection (electrodermal, cardiovascular, and respiratory), as well as personality traits (e.g. trait avoidance and approach, self-esteem). Description of files: - File 'README.txt' contains the description of the files (metadata). - File '20191024_IJMData_brief.sav' contains the raw data. - Files 'EXI.outl.del.RData' contains the complete dataset with missing values, with extra variables calculated, and with outliers deleted. - File 'Codebook_EXI.outl.del.csv' contains a description of all variables in the 'EXI.outl.del.RData' file (metadata). - Files 'EXI.outl.del.imp.RData' and 'EXI.outl.del.imp.extra.RData' contain multiple imputed datasets (without missing values) that can be used to reproduce results from the paper. - File '01_CalculationOfData.R' is an R analysis script that imports the raw data, calculates new variables, and imputes missing data via multiple imputation using the 'predictorMatrixAdj.xlsx' file. - File '02_AnalysisOfImputedData.R' is an R analysis script that calculates descriptive statistics, creates plots, and tests hypotheses using t-tests, Bayesian statistics, and multiple lineair regressions. Also uses the custom functions: 'BF.evidence.R', 'cohen.d.magnitude.R' and 'p.value.sig.R'.
    Data Types:
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    • Text
  • Even though partisan cues are widely recognized as a primary force shaping voter behavior in a referendum, their effect on a decision whether to attend or abstain from voting has not yet been carefully studied. Our analysis of the pre-referendum survey data gathered before the 2015 citizen-initiated referendum in Slovakia leads to two important conclusions: First, parties’ recommendations whether to attend or abstain from voting influence voters’ behavior in a similar fashion as their suggestions for which side to vote for. Moreover, in certain institutional settings, the partisan cues related to mobilization have an even stronger impact on voters than endorsements for who or what to vote for. Second, the provided party recommendations must be unambiguous and clear. Lower clarity cues are reflected in voters’ behavior to a lesser extent. Note: Data is originally collected by the FOCUS Agency (in Slovakia) on demand of the Daily SME. All the essential information could be found in the .xlsx file.
    Data Types:
    • Software/Code
    • Tabular Data
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  • These datasets contains the results of a study on Argentine software organizations. They are used in a proposal for an Ontology-based Agile Practices Recommendation System.
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  • This dataset contains the primary data used in: "Multi-epoch X-ray burst modelling: MCMC with large grids of 1D simulations", Johnston et al. (2020). In this work, we interpolated and sampled a grid of 3840 KEPLER burst models using Markov Chain Monte Carlo (MCMC) methods to produce posterior distributions for the system parameters of the "Clocked Burster", GS 1826-238. Provided here is the full burst model grid and the raw MCMC sample chains. More details on the files, and how to load them, are provided in README.md
    Data Types:
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    • Text
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  • These data stem from three individual studies aimed to develop and validate the DAT instrument. Link to resulting paper soon to be provided.
    Data Types:
    • Software/Code
    • Dataset
  • R scripts for organizing, analyzing, and visualizing data for the "Power and Accommodation" project
    Data Types:
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    • Tabular Data
    • Dataset
    • Document
  • The study was conducted in 2018 on the factors determining child mortality at the community level in Nigeria were this kind of data is rarely available. The data collection was done by employing multi-stage cross-sectional survey technique conducted at the Local Government Area (LGA), Primary Health Care (PHC) facilities, and at he individual levels.The unit of analysis is pregnant women attending ante-natal care who had given birth to at least a child three years before the time of the study. The total sample was 1350 pregnant women collected at 20 Primary Health Care facilities in Ifo Local Government Area of Ogun State Nigeria. Key data collected included socio-demographic characteristics, environmental factors, child mortality, immunization, breastfeeding practices, preventable diseases, accessibility to health facilities among others.
    Data Types:
    • Software/Code
    • Dataset
    • Document
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