Welcome to the SAGEOMAG - the South America GEOMAGnetic database! This repository is introduced by Victor Marum, Filipe Terra-Nova, Gelvam Hartmann, Erwan Thébault, Plinio Jaqueto, Wilbor Poletti and Ricardo Trindade. For a more detailed description, statistics and application of the SAGEOMAG database in the modeling of geomagnetic field intensity curves for South America, you can access: [paper]
This repository contains:
SAGEOMAG_database_v1.xlsx: the complete SAGEOMAG database in Excel format.SAGEOMAG_v1_read_and_plot.ipynb: a Python routine (written in Jupyter Notebook) with some examples to filter and visualize the data comprised in the SAGEOMAG database.SARIC-A_no_filter.txt: SARIC.A from Figure 7a.SARIC-A_F1.txt: SARIC.A from Figure 7b.SARIC-A_F2.txt: SARIC.A from Figure 7c.SARIC-A_F3.txt: SARIC.A from Figure 7d.SARIC-A_F4.txt: SARIC.A from Figure 7e.SARIC-A_F5.txt: SARIC.A from Figure 7f.SARIC-A_F6.txt: SARIC.A from Figure 7g.SARIC-A_F7.txt: SARIC.A from Figure 7h.SARIC-B_site_lambda1000.txt: SARIC.B from Figure 8a.SARIC-B_site_lambda01.txt: SARIC.B from Figure 8b.SARIC-B_fragment_lambda1000.txt: SARIC.B from Figure 8c.SARIC-B_fragment_lambda01.txt: SARIC.B from Figure 8d.SARIC-B_specimen_lambda1000.txt: SARIC.B from Figure 8e.SARIC-B_specimen_lambda01.txt: SARIC.B from Figure 8f.SARIC-C_no_filter_longer_lambda1000000.txt: SARIC.C from Figure 9a.SARIC-C_no_filter_intermediate_lambda10000.txt: SARIC.C from Figure 9b.SARIC-C_no_filter_shorter_lambda1000.txt: SARIC.C from Figure 9c.SARIC-C_filters_shorter_lambda1000.txt: SARIC.C from Figure 9d.
If you have any problems with downloading, viewing, applying filters or plotting figures related to the SAGEOMAG database, please do not hesitate to contact me: [email protected].