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AQI air quality observations from ground monitoring stations in China are collected and stored PostGresql (three times each day). The AQI values are coded to Locations which have mappable x, y coordinates in a seperate cumulative locations table.
Data Types:
  • Tabular Data
  • Document
  • Text
The hourly updates of ground monitoring observations in China are collected and stored in .csv files (one for each hour). NOTE: the pm25s data does NOT report locations for the reporting stations in x, y coordinates.
Data Types:
  • Text
  • File Set
The hourly updates of ground monitoring observations in China are collected and stored in .csv files (one for each hour). NOTE: the pm25s data does NOT report locations for the reporting stations in x, y coordinates.
Data Types:
  • Text
  • File Set
We argue that political scientists can provide additional evidence for the predictive validity of observational and quasi-experimental research designs by minimizing the expected prediction error or generalization error of their empirical models. For observational and quasi-experimental data not generated by a stochastic mechanism under the researcher's control, the reproduction of statistical analyses is possible but replication of the data generating procedures is not. Estimating the generalization error of a model for this type of data and then adjusting the model to minimize this estimate --- regularization --- provides evidence for the predictive validity of the study by decreasing the risk of overfitting. Estimating generalization error also allows for model comparisons that highlight underfitting: when a model generalizes poorly due to missing systematic features of the data generating process. Thus, minimizing generalization error provides a principled method for modeling relationships between variables that are measured but whose relationships with the outcome(s) are left unspecified by a deductively valid theory. Overall, the minimization of generalization error is important because it quantifies the expected reliability of predictions in a way that is similar to external validity, consequently increasing the validity of the study's conclusions.
Data Types:
  • Software/Code
  • Text
The legislative agenda in most parliamentary systems is controlled tightly by the government and bills offered by individual members of parliament have low rates of success. Yet, MPs do seek to present (private) members’ bills even where the rate of adoption is very low. We argue that members’ bills serve as an electoral connection but also as an opportunity for MPs to signal competence to their co-partisans. To demonstrate the presence of an electoral connection we take advantage of the random selection of private members’ bills in the New Zealand House of Representatives and show that survey respondents approve more of electorate MPs whose bills were drawn on the ballot. In addition, we show that MPs respond to the incentives created by the voters and parties’ willingness to reward legislative effort and, consequently, that electorally vulnerable legislators are more likely to place members’ bills on the ballot.
Data Types:
  • Other
  • Software/Code
  • Tabular Data
  • Document
  • Text
Oil Refineries 3
Data Types:
  • Text
Sounds from "Hausfeld, L., Gutschalk, A., Formisano, E., Riecke, L. (2017). Effects of cross-modal asynchrony on informational masking in human cortex. Journal of Cognitive Neuroscience". Informational masking paradigm containing a pulsating tone (target) embedded in a multi-tone cloud (masker).
Data Types:
  • Text
  • Audio
To see how the recent financial downturn affected workers nearing retirement, the Center for Retirement Research commissioned an Internet survey of 1,317 working Americans between the ages of 45 and 59. This survey was conducted by Knowledge Networks during July and August 2009 using their nationally representative panel. A subsample of 358 individuals who had at least $50,000 in pre-downturn retirement assets and experienced a loss of at least 10%, were asked to respond to four additional questions measuring the effect of financial literacy. The survey addressed a wide range of factors that could influence workers' response to the downturn, including socio-economic, financial, employment, and behavioral characteristics.
Data Types:
  • Other
  • Tabular Data
  • Document
  • Text
  • File Set
To see if attitudes are changing about the potential for using one's home to cover living expenses in retirement, the Center for Retirement Research commissioned a survey that examined the house as a potential source of retirement income. Harris Interactive® conducted the study online within the United States between January 24 and February 2, 2007 among 2,673 adults (aged 50-65). Figures for age, sex, race, education, household income, and region were weighted where necessary to bring them into line with their actual proportions in the population. Propensity score weighting was also used to adjust for respondents’ propensity to be online. The questionnaire, results, and raw data from both surveys are available.
Data Types:
  • Other
  • Software/Code
  • Tabular Data
  • Document
  • Text
  • File Set
This data relates to our paper "Stereotype and Most-Popular Recommendations in the Digital Library Sowiport". The data includes a list of the 28 million delivered and clicked recommendations as CSV file, the R script to analyze the data, and the figures and tables presented in this paper as PNG and CSV files. This open access to the data allows replicating our analyses, checking the results for correctness, and conducting additional analyses.
Data Types:
  • Software/Code
  • Image
  • Tabular Data
  • Text
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