Near Real Time Automatic Extraction of CME Properties From LASCO C2 Coronagraph Images Using Deep Learning

Yang, Peng;Fu, H. S.;Cao, J. B.

Description

seeds_monthly_2023_2025_merged_process.txt is the CME catalog text produced by the SEEDS method. ours.txt is the CME catalog generated by our method. univ_all_CDAW_process.txt is the CDAW catalog, and comb_qkl_CACTUS_process.txt is the catalog produced by the CACTus method.CDAW_matched_1.txt contains the catalog entries from CDAW that were matched with our detections, and ours_cdaw_matched_1.txt contains the corresponding entries from our catalog that match CDAW.public_data_1.tar contains the processing outputs of our method for CMEs from 2023 to 2025, including segmentation, tracking, linear speed fitting, and the final exported catalog.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.4

FAIR Score

81%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

General Social Sciences

Field

Social Sciences

Domain

Social Sciences

Confidence Score

34%

Source

Scholar Data Model

Normalization Factors

FT

65.38

CTw

1.00

MTw

1.00