Aurorasaurus database of real-time, crowd-sourced aurora data for space weather research
Abstract
This work documents the details of Aurorasaurus citizen science data for the period spanning 2015 and 2016 as well as its routine data filtering protocols. Aurorasaurus citizen science data is a collection of auroral sightings submitted to the project via its website or apps and mined from social media. It is a robust data set and particularly abundant during strong geomagnetic storms when auroral precipitation models have the highest uncertainty. This data is offered to the scientific community for use through an open-access database in its raw and scientific formats, each of which is described in detail in this technical report. Furthermore, by demonstrating its scientific utility, we aim to encourage its integration into auroral research.
- Authors:
-
- The Catholic Univ. of America, Washington, DC (United States); NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States); New Mexico Consortium, Los Alamos, NM (United States)
- NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States); New Mexico Consortium, Los Alamos, NM (United States)
- Lancaster Univ. (United Kingdom)
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Publication Date:
- Research Org.:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE; National Science Foundation (NSF); National Aeronautic and Space Administration (NASA); Science and Technology Facilities Council (STFC) (United Kingdom)
- OSTI Identifier:
- 1484671
- Report Number(s):
- LA-UR-18-29919
Journal ID: ISSN 2333-5084
- Grant/Contract Number:
- 89233218CNA000001; 1344296; ST/M001059/1
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Earth and Space Science
- Additional Journal Information:
- Journal Volume: 5; Journal Issue: 12; Journal ID: ISSN 2333-5084
- Publisher:
- American Geophysical Union (AGU)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; 96 KNOWLEDGE MANAGEMENT AND PRESERVATION; aurora; dataset; citizen science; space weather
Citation Formats
Kosar, B. C., MacDonald, Elizabeth A., Case, Nathan A., and Heavner, Matthew. Aurorasaurus database of real-time, crowd-sourced aurora data for space weather research. United States: N. p., 2018.
Web. doi:10.1029/2018EA000454.
Kosar, B. C., MacDonald, Elizabeth A., Case, Nathan A., & Heavner, Matthew. Aurorasaurus database of real-time, crowd-sourced aurora data for space weather research. United States. doi:10.1029/2018EA000454.
Kosar, B. C., MacDonald, Elizabeth A., Case, Nathan A., and Heavner, Matthew. Tue .
"Aurorasaurus database of real-time, crowd-sourced aurora data for space weather research". United States. doi:10.1029/2018EA000454. https://www.osti.gov/servlets/purl/1484671.
@article{osti_1484671,
title = {Aurorasaurus database of real-time, crowd-sourced aurora data for space weather research},
author = {Kosar, B. C. and MacDonald, Elizabeth A. and Case, Nathan A. and Heavner, Matthew},
abstractNote = {This work documents the details of Aurorasaurus citizen science data for the period spanning 2015 and 2016 as well as its routine data filtering protocols. Aurorasaurus citizen science data is a collection of auroral sightings submitted to the project via its website or apps and mined from social media. It is a robust data set and particularly abundant during strong geomagnetic storms when auroral precipitation models have the highest uncertainty. This data is offered to the scientific community for use through an open-access database in its raw and scientific formats, each of which is described in detail in this technical report. Furthermore, by demonstrating its scientific utility, we aim to encourage its integration into auroral research.},
doi = {10.1029/2018EA000454},
journal = {Earth and Space Science},
number = 12,
volume = 5,
place = {United States},
year = {2018},
month = {11}
}
Web of Science
Figures / Tables:

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journal, March 2010
- Newell, Patrick T.; Sotirelis, Thomas; Wing, Simon
- Journal of Geophysical Research: Space Physics, Vol. 115, Issue A3
Works referencing / citing this record:
ScintPi: A Low‐Cost, Easy‐to‐Build GPS Ionospheric Scintillation Monitor for DASI Studies of Space Weather, Education, and Citizen Science Initiatives
journal, August 2019
- Rodrigues, F. S.; Moraes, A. O.
- Earth and Space Science, Vol. 6, Issue 8
Figures / Tables found in this record: