Data and Code for Thesis - An Examination of Observed Coronal Structures Through Automated Techniques Across Solar Cycle 24

377 12 680 3 3763 document 680 ThesisCode-main.zip application/zip 42b0023cc93630cf249a2f6d529786a4 MD5 15139161 2023-05-16 08:36:53 https://data.lancashire.ac.uk/id/eprint/377/1/ThesisCode-main.zip 377 1 1 application/zip application/zip An archive containing the results of investigations into widths and positions of coronal structures at limb for Cycle 24 with AIA, and Cycle 23 with EIT alongside code used for each of the three stages. en public cc_by_nd

ThesisCode-main.zip

full_archive FALSE archive 8095 disk0/00/00/03/77 2023-05-16 09:01:54 2023-05-16 09:20:44 2023-05-16 09:01:54 data_collection show Gass Daniel danielgass192@gmail.com https://orcid.org/0009-0004-7998-4635 Data and Code for Thesis - An Examination of Observed Coronal Structures Through Automated Techniques Across Solar Cycle 24 F530 Collection of coronal structure widths and locations by wavelength (171, 193, 211 and 304 Angstroms) for active region and plume structures in Solar Cycle 24 using Solar Dynamics Observatory (SDO) Atmospheric Imaging Assembly (AIA) data, and local coronal brightenings in Solar Cycle 23 using the Solar and Heliospheric Observatory (SOHO) Extreme-ultraviolet Imaging Telescope (EIT). Also contained is the COronal Structure Detection and Analysis (COSDA) software developed to extract these features from raw image data, written in Python 3. 10.17030/uclan.data.00000377 collection RG_096 RC04 rdmsupport@uclan.ac.uk PhD Student Gass Daniel Gordon DGGass@uclan.ac.uk 2018-10-01 2022-12-15