Results of Simultaneous multi-class detection of interplanetary space weather events

DOI

This dataset contains all the material needed to reproduce the results presented in the following article:

Gautier Nguyen, Guillerme Bernoux, and Antoine Ferlin. “Simultaneous multi-class detection of interplanetary space weather events " Accepted for publication in the Journal of Space Weather and Space climate, 2025.

This work being dedicated to the development of a multi-class Interplanetary Coronal Mass Ejections (ICMEs) and Stream Interaction Regions (SIRs) algorithm. Result include results obtained by both our model, namely SPODIfY, and state of the art model, namely ResUnet++.

In particular, this repository includes:

The outputs of both SPODIFY and ResUnet++ models in the form of .npy files ; The ICMEs and SIRs catalogs obtained from those outputs in the form of CSV tables A set of preprocessed streaming, Interplanetary Magnetic Field and solar wind plasma moments in-situ measurements resampled at a resolution of 10 minutes in the form of a pickle file A Python file that contains routines to manage events Routines used to obtain the different figures presented in the publication associated to this dataset in the form of a Jupyter Notebook

The research leading to these results was done within the frame of the ONERA FIRSTS internal research project

Identifier
DOI https://doi.org/10.57745/HDCAZ3
Related Identifier IsCitedBy https://doi.org/10.1051/swsc/2025016
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/HDCAZ3
Provenance
Creator Nguyen, Gautier ORCID logo; Bernoux, Guillerme ORCID logo; Ferlin, Antoine (ORCID: 0000-0001-5927-539X)
Publisher Recherche Data Gouv
Contributor Nguyen, Gautier
Publication Year 2025
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Nguyen, Gautier (DPHY ; ONERA, Université de Toulouse ; Toulouse, France)
Representation
Resource Type Dataset
Format text/x-python; application/x-ipynb+json; text/comma-separated-values; application/octet-stream
Size 7095; 1782266; 427281; 760170; 161352639; 325328; 393153; 29733; 39677; 303202432; 14212736
Version 1.2
Discipline Astrophysics and Astronomy; ['Space weather']; ['Solar wind']; ['Solar storm']; ['Fast solar wind']