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2008 and 2012 CCES data along with population density and demographics at the zipcode level from the 2010 ACS (5-year)
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  • Software/Code
  • Tabular Data
  • Document
Data and code for: Boyne, George A., Oliver James, Peter John, and Nicolai Petrovsky. 2009. "Democracy and Government Performance: Holding Incumbents Accountable in English Local Governments." Journal of Politics 71 (4): 1273-1284.
Data Types:
  • Software/Code
  • Tabular Data
  • Document
Shapefiles used in the optimization model presented in "High value of ecological information for river connectivity restoration" (Sethi et al.) In Review. Abstract: Efficient restoration of longitudinal river connectivity necessitates the use of sophisticated planning tools to maximize ecological benefits given constrained resources. Typically, ecological benefits of river barrier mitigation are measured using proxies such as the amount of accessible riverine habitat. We develop an optimization-based approach for targeting barrier mitigation which incorporates life history information of managed taxa. Findings are presented from an urbanizing salmon-bearing watershed in Alaska. Solutions informed by life history information outperformed those using only river connectivity proxies, demonstrating high value of ecological information in watershed restoration. For our study area, information on salmon ecology was typically valued at 0.8-1.2M USD based on costs savings for achieving a given benefit level relative to solutions derived with river connectivity proxies. This equated to 16-28% of the restoration budget. Investing in ecological studies may achieve win-win outcomes of improved understanding of aquatic ecology and greater watershed restoration efficiency.
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  • Geospatial Data
  • Document
  • File Set
This contains the parliamentary voting data from the Dutch Parliamentary Behaviour Dataset. It covers the period 1945-2015.
Data Types:
  • Software/Code
  • Tabular Data
  • Document
This is the data used in the paper: Rodrigues, F. and Lourenço, M. and Ribeiro, B. and Pereira, F. C. "Learning Supervised Topic Models for Classification and Regression from Crowds". In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017. It contains supervised learning datasets whose labels were through crowdsourcing platforms, namely Amazon Mechanical Turk, or in some cases, by simulation. These datasets cover various tasks, such as: - classifying posts and news stories; - classifying images according to their content; - predicting number of stars of a given user gave to a restaurant based on the review; - predicting movie ratings using the text of the reviews. This data is based on popular benchmark datasets: 20newsgroups, Reuters, LabelMe, we8there, MovieReviews.
Data Types:
  • File Set
The data set combines several existing sources to provide information on the left-right and pro-anti Europe position of the European Commission, the European Parliament and the Council of the European Union from 1979 to 2003. In some instances, the time series is complete until 2007. The data set also includes data sheets with the partisan government composition and the associated positions on left-right and pro-anti Europe dimensions for all EU member states from 1979 to 2003 (in some instances: 2006).
Data Types:
  • Tabular Data
  • Document
EU member state requests, environmental policy, 2004-9 (data)
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  • Software/Code
  • Tabular Data
  • Document
The following contains the data and results used in the following paper: Swati Jain, Jonathan D. Jou, Ivelin S. Georgiev, and Bruce R. Donald. A Critical Analysis of Computational Protein Design with Sparse Residue Interaction Graphs. PLoS Comp Biol. 2017, In press. Code can be found at: https://github.com/donaldlab/OSPREY_SparseAStar
Data Types:
  • File Set
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.
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  • Tabular Data
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  • 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.
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  • Software/Code
  • Tabular Data
  • Document
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  • File Set
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