Published May 29, 2018
| Version v1.0
Dataset
Open
Aurorasaurus Real-Time Citizen Science Aurora Data
- 1. The Catholic University of America, NASA Goddard Space Flight Center, and New Mexico Consortium
- 2. NASA Goddard Space Flight Center, NASA HQ, and New Mexico Consortium
- 3. Lancaster University
- 4. Los Alamos National Laboratory and New Mexico Consortium
Description
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 aurorasaurus.info@gmail.com.
Notes
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.
Files
2015_pos_verified_01_raw.csv
Files
(376.2 MB)
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Additional details
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‐time 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