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Peer-reviewedCC BYFrontiers in Astronomy and Space Sciences

Shock Detectives: classifying MMS observations of Earth’s magnetosheath via citizen science

  • Vicki Toy-Edens1
  • Wenli Mo1
  • Savvas Raptis1
  • Nathan C. Bell2
  • Magdalena Dąbrowska2
  • Thorsten Eschweiler2
  • Rachel A. Ford2
  • Virgilio Gonano2
  • Andrey C. R. B. Gorokhov2
  • Jose Manuel Leal Quesada2
  • Adeline M. Luperchio2
  • Antonio Pasqua2
  1. 1Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States
  2. 2Shock Detectives Citizen Scientist, Laurel, MD, United States
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Abstract

We present a dataset of 35,483 unique 1 minute periods (∼591 h) of quasi-perpendicular and quasi-parallel magnetosheath MMS classifications manually reviewed with the help of citizen scientists. This dataset spans a variety of representative solar wind conditions sampled over the course of 8 years of data on the dayside. We identify 7,697 high likelihood quasi-parallel magnetosheath minute intervals and an additional 2,315 moderate likelihood quasi-parallel intervals. Within this dataset, we also identify 2,677 temporal transitions between quasi-perpendicular and quasi-parallel magnetosheath at 1-min resolution. This rich dataset can be used to perform statistical studies of these two populations and to train machine learning models.

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Cite

BibTeXRIS
BibTeX
@article{toyedens2026shock,
  title = {{Shock Detectives: classifying MMS observations of Earth’s magnetosheath via citizen science}},
  author = {Vicki Toy-Edens and Wenli Mo and Savvas Raptis and Nathan C. Bell and Magdalena Dąbrowska and Thorsten Eschweiler and Rachel A. Ford and Virgilio Gonano and Andrey C. R. B. Gorokhov and Jose Manuel Leal Quesada and Adeline M. Luperchio and Antonio Pasqua},
  journal = {Frontiers in Astronomy and Space Sciences},
  year = {2026},
  month = oct,
  doi = {10.3389/fspas.2026.1986629},
  url = {https://doi.org/10.3389/fspas.2026.1986629},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Shock Detectives: classifying MMS observations of Earth’s magnetosheath via citizen science
AU  - Vicki Toy-Edens
AU  - Wenli Mo
AU  - Savvas Raptis
AU  - Nathan C. Bell
AU  - Magdalena Dąbrowska
AU  - Thorsten Eschweiler
AU  - Rachel A. Ford
AU  - Virgilio Gonano
AU  - Andrey C. R. B. Gorokhov
AU  - Jose Manuel Leal Quesada
AU  - Adeline M. Luperchio
AU  - Antonio Pasqua
PY  - 2026
DA  - 2026/10/23
JO  - Frontiers in Astronomy and Space Sciences
DO  - 10.3389/fspas.2026.1986629
UR  - https://doi.org/10.3389/fspas.2026.1986629
AB  - We present a dataset of 35,483 unique 1 minute periods (∼591 h) of quasi-perpendicular and quasi-parallel magnetosheath MMS classifications manually reviewed with the help of citizen scientists. This dataset spans a variety of representative solar wind conditions sampled over the course of 8 years of data on the dayside. We identify 7,697 high likelihood quasi-parallel magnetosheath minute intervals and an additional 2,315 moderate likelihood quasi-parallel intervals. Within this dataset, we also identify 2,677 temporal transitions between quasi-perpendicular and quasi-parallel magnetosheath at 1-min resolution. This rich dataset can be used to perform statistical studies of these two populations and to train machine learning models.
SN  - 2296-987X
ER  -