Crowdastro

The Crowdastro dataset is a set of training data for the binary classification problem of determining whether a galaxy hosts a radio source. The dataset contains features and labels for all 24140 objects detected in the WISE infrared survey that are within 1 arcminute of an object detected in the ATLAS radio survey. The prediction task is to predict the label of an object given its features. Code to generate the dataset is on GitHub: https://github.com/chengsoonong/crowdastro Please note that while the feature description says that four features are fluxes, this is an error and the corresponding features are magnitudes. This dataset makes use of data products from the Wide-field Infrared Survey Explorer, which is a joint project of the University of California, Los Angeles, and the Jet Propulsion Laboratory/California Institute of Technology, funded by the National Aeronautics and Space Administration. This dataset includes data from the Australia Telescope Compact Array. Australia Telescope Compact Array is part of the Australia Telescope, which is funded by the Commonwealth of Australia for operation as a National Facility managed by CSIRO. This dataset includes data from the Radio Galaxy Zoo. The Radio Galaxy Zoo data has been made possible by the participation of more then 10,000 volunteers in the Radio Galaxy Zoo project. Their contributions are individually acknowledged at http://rgzauthors.galaxyzoo.org.