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Title: 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:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3];  [4]
  1. 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)
  2. NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States); New Mexico Consortium, Los Alamos, NM (United States)
  3. Lancaster Univ. (United Kingdom)
  4. 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}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

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Cited by: 1 work
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Figures / Tables:

Table 1:  Part 1 Table 1: Part 1: Description of data attributes found in raw T- and PVT-files. Raw and cleaned version of PVT-file headers are identical to each other and they are a subset of column headers found in T-file with four additional fields. The distinction between T- and PVT-files is demonstrated inmore » the last column.« less

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