Aurorasaurus Real-Time Citizen Science Aurora Data
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...
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Online Access: | https://dx.doi.org/10.5281/zenodo.1255195 https://zenodo.org/record/1255195 |
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ftdatacite:10.5281/zenodo.1255195 2023-05-15T17:43:06+02:00 Aurorasaurus Real-Time Citizen Science Aurora Data Kosar, Burcu C. MacDonald, Elizabeth A. Case, Nathan A. Heavner, Matthew 2018 https://dx.doi.org/10.5281/zenodo.1255195 https://zenodo.org/record/1255195 en eng Zenodo https://zenodo.org/communities/citizenscience https://zenodo.org/communities/spacephysics https://dx.doi.org/10.5281/zenodo.1255196 https://zenodo.org/communities/citizenscience https://zenodo.org/communities/spacephysics Open Access Creative Commons Attribution Non Commercial 4.0 International https://creativecommons.org/licenses/by-nc/4.0/legalcode cc-by-nc-4.0 info:eu-repo/semantics/openAccess CC-BY-NC Aurorasaurus aurora citizen science space weather northern lights Twitter dataset Dataset 2018 ftdatacite https://doi.org/10.5281/zenodo.1255195 https://doi.org/10.5281/zenodo.1255196 2021-11-05T12:55:41Z 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. : 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"]} Dataset Northern lights DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Aurorasaurus aurora citizen science space weather northern lights |
spellingShingle |
Aurorasaurus aurora citizen science space weather northern lights Kosar, Burcu C. MacDonald, Elizabeth A. Case, Nathan A. Heavner, Matthew Aurorasaurus Real-Time Citizen Science Aurora Data |
topic_facet |
Aurorasaurus aurora citizen science space weather northern lights |
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. : 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"]} |
format |
Dataset |
author |
Kosar, Burcu C. MacDonald, Elizabeth A. Case, Nathan A. Heavner, Matthew |
author_facet |
Kosar, Burcu C. MacDonald, Elizabeth A. Case, Nathan A. Heavner, Matthew |
author_sort |
Kosar, Burcu C. |
title |
Aurorasaurus Real-Time Citizen Science Aurora Data |
title_short |
Aurorasaurus Real-Time Citizen Science Aurora Data |
title_full |
Aurorasaurus Real-Time Citizen Science Aurora Data |
title_fullStr |
Aurorasaurus Real-Time Citizen Science Aurora Data |
title_full_unstemmed |
Aurorasaurus Real-Time Citizen Science Aurora Data |
title_sort |
aurorasaurus real-time citizen science aurora data |
publisher |
Zenodo |
publishDate |
2018 |
url |
https://dx.doi.org/10.5281/zenodo.1255195 https://zenodo.org/record/1255195 |
genre |
Northern lights |
genre_facet |
Northern lights |
op_relation |
https://zenodo.org/communities/citizenscience https://zenodo.org/communities/spacephysics https://dx.doi.org/10.5281/zenodo.1255196 https://zenodo.org/communities/citizenscience https://zenodo.org/communities/spacephysics |
op_rights |
Open Access Creative Commons Attribution Non Commercial 4.0 International https://creativecommons.org/licenses/by-nc/4.0/legalcode cc-by-nc-4.0 info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY-NC |
op_doi |
https://doi.org/10.5281/zenodo.1255195 https://doi.org/10.5281/zenodo.1255196 |
_version_ |
1766145116620193792 |