Identifying Coronal Mass Ejection Active Region Sources: An automated approach - Catalogue results

Catalogue of Coronal Mass Ejection (CME) active region sources. Includes a database version and a simplified .csv version. For full details, refer to the source code at https://github.com/JulioHC00/cmesrc. We include a README file for each describing each column.

We also include the raw data used to generate the catalogue so that results may be reproduced following the steps detailed in https://github.com/JulioHC00/cmesrc. This is a collection of data from other works and we provide it only to allow the results to be reproduced

Below, we detail the data sources for the raw_data folders

==============================RAW DATA SOURCES==============================

DIMMINGS FOLDER

Data is from Solar Demon, .csv was provided by Emil Kraaikamp through private communication.

Solar Demon – an approach to detecting flares, dimmings, and EUV waves on SDO/AIA imagesEmil Kraaikamp, Cis VerbeeckJ. Space Weather Space Clim. 5 A18 (2015)DOI: 10.1051/swsc/2015019

HARPNUM_TO_NOAA FOLDER

Obtained from http://jsoc.stanford.edu/doc/data/hmi/harpnum_to_noaa/all_harps_with_noaa_ars.txt

LASCO FOLDER

This CME catalog is generated and maintained at the CDAW Data Center by NASA and The Catholic University of America in cooperation with the Naval Research Laboratory. SOHO is a project of international cooperation between ESA and NASA.

Downloaded from https://cdaw.gsfc.nasa.gov/CME_list/

MVTS FOLDER

Data from

Angryk, R.A., Martens, P.C., Aydin, B. et al. Multivariate time series dataset for space weather data analytics. Sci Data 7, 227 (2020). https://doi.org/10.1038/s41597-020-0548-x

Available at the Harvard Dataverse

Angryk, Rafal; Martens, Petrus; Aydin, Berkay; Kempton, Dustin; Mahajan, Sushant; Basodi, Sunitha; Ahmadzadeh, Azim; Xumin Cai; Filali Boubrahimi, Soukaina; Hamdi, Shah Muhammad; Schuh, Micheal; Georgoulis, Manolis, 2020, "SWAN-SF", https://doi.org/10.7910/DVN/EBCFKM, Harvard Dataverse, V1

The DT_SWAN folder contains the same data but with extra columns obtained directly from the Joint Science Operations Center (JSOC) through the python package drms.