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Artificial Social Intelligence for Successful Teams (ASIST) Study 2

Lixiao Huang, Jared Freeman, Nancy Cooke, Samantha Dubrow, , Matt Wood, Verica Buchanan, Stephen Caufman &
The ASIST Study-2 dataset was developed in a human subjects research study designed to assess the capability of artificial intelligence to infer the state and predict the actions of members of a three-person team executing an urban search and rescue task in Minecraft. The data were developed under Contract No. HR001119C0130 to the Defense Advanced Research Projects Agency (DARPA). The dataset comprises approximately 2,100 files and 300GB of data. We have partitioned the full dataset...

2090-2099 Projected Climates and Urban Development Scenarios - Conterminous U.S. (CONUS) Simulation Data

Matei Georgescu, Aldo Brandi, Ashley Broadbent & Scott Krayenhoff
Simulations representing different climate change, urban development and heat adaptation strategies scenarios for the future Conterminous United States. Refer to CONUS_Sims_README.txt for additional documentation.

Replication Data for: Controlling the Error Probabilities of Model Selection Information Criteria Using Bootstrapping

Beckett Sterner & Michael Cullan
Simulation data associated with a publication in the Journal of Applied Statistics. Content addresses a simple regression case proposed by Aris Spanos and fossil trait series data from paleobiology collected by Gene Hunt, Melanie Hopkins, and Scott Lidgard. Data is formatted for use in R and is associated with the ICError R package.

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