Dataset for "Archeointensity database and geomagnetic field reference curves for South America over the past 5 millennia" by "V. Marum, F. Terra-Nova, G. Hartmann, E. Thébault, P. Jaqueto, W. Poletti and R. Trindade"

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.xlsx: the complete SAGEOMAG database in Excel format. SAGEOMAG_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: [e-mail].