SuperWASP Variable Star Photometry Archive (VeSPA)

This data set contains the metadata for periodic variable stars that have been classified by Citizen Scientists using the SuperWASP Variable Stars Zooniverse project.

The data set is in the same format as custom data exports generated via the superwasp.org website. It consists of three files:

• export.csv: The main data export in CSV format, containing one row per folded light curve (i.e. multiple rows per source object).
• fields.yaml: A YAML-format list of the columns included in the CSV export with an English description of each one.
• params.yaml: A YAML-format copy of the search and filtering parameters which were used to generate the export (in this case this is the full data set with no filtering applied). Also includes a data version number which will be incremented with future data releases or changes to the export format.

Photometry data is also available for download in FITS and JSON format, but this is not included here. URLs for the photometry files are included in export.csv for ease of downloading.

Acknowledgements

The SuperWASP project is currently funded and operated by Warwick University and Keele University, and was originally set up by Queen’s University Belfast, the Universities of Keele, St. Andrews and Leicester, the Open University, the Isaac Newton Group, the Instituto de Astrofisica de Canarias, the South African Astronomical Observatory and by STFC.

The Zooniverse project on SuperWASP Variable Stars is led by Andrew Norton (The Open University) and builds on work he has done with his former postgraduate students Les Thomas, Stan Payne, Marcus Lohr, Paul Greer, and Heidi Thiemann, and current postgraduate student Adam McMaster.

The Zooniverse project on SuperWASP Variable Stars was developed with the help of the ASTERICS Horizon2020 project. ASTERICS is supported by the European Commission Framework Programme Horizon 2020 Research and Innovation action under grant agreement n.653477

VeSPA was designed and developed by Adam McMaster as part of his postgraduate work. This work is funded by STFC, DISCnet, and the Open University Space SRA. Server infrastructure was funded by the Open University Space SRA.