Aurorasaurus Real-Time Citizen Science Aurora Data

• Main Authors: Kosar, Burcu C., MacDonald, Elizabeth A., Case, Nathan A., Heavner, Matthew
• Format: Dataset
• Language: English
• Published: Zenodo 2018
• Subjects: Aurorasaurus; aurora; citizen science; space weather; northern lights; Twitter; Northern lights
• Online Access: https://dx.doi.org/10.5281/zenodo.1255196; https://zenodo.org/record/1255196

Aurorasaurus citizen science data is a collection of auroral sightings submitted to the project via its website (aurorasaurus.org) or apps and mined from social media. It is a robust data set and particularly abundant during strong geomagnetic storms. This data is offered to the scientific community for research use through an open-access database in its raw and scientific formats for the 2015-2016 period, each of which is described in detail in the following technical report: Kosar, B. C., MacDonald, E. A., Case, N. A., & Heavner, M. (2018). Aurorasaurus Database of Real‐Time, Crowd‐Sourced Aurora Data for Space Weather Research. Earth and Space Science , 5 (12), 970-980. For more information on the project, please contact the project leaders at [e-mail]. : Research is funded by National Science Foundation (NSF) - 1344296 and NASA INSPIRE Track 1: Aurorasaurus - Citizen Scientists Experiencing Extremes of Space Weather We acknowledge STFC grant number ST/M001059/1 The Aurorasaurus website (aurorasaurus.org) is hosted by the New Mexico Consortium. Special permission for Twitter use has been obtained. : {"references": ["MacDonald et al., (2015), Aurorasaurus: A citizen science platform for viewing and reporting the aurora, doi:10.1002/2015SW001214", "Case et al. (2015a), Mapping auroral activity with Twitter, doi:10.1002/2015GL063709", "Case et al. (2015b), Aurorasaurus and the St Patrick's Day storm, doi:10.1093/astrogeo/atv089", "Case et al. (2016a), Using citizen science reports to define the equatorial extent of auroral visibility, doi:10.1002/2015SW001320", "Case et al. (2016b), A real\u2010time hybrid aurora alert system: Combining citizen science reports with an auroral oval model, doi:10.1002/2016EA000167", "Case et al. (2016c), Determining the Accuracy of Crowdsourced Tweet Verification for Auroral Research, doi:10.5334/cstp.52", "MacDonald et al., (2018), New science in plain sight: Citizen scientists lead to the discovery of optical structure in the upper atmosphere, doi:10.1126/sciadv.aaq0030", "Kosar et al., (2018), A case study comparing citizen science aurora data with global auroral boundaries derived from satellite imagery and empirical models, doi:10.1016/j.jastp.2018.05.006"]}