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An updated internet-based Global Paleomagnetic Database

Team members from EDRG have been instrumental in establishing a new internet-based Global Paleomagnetic Database, updating the MS Access-based version of McElhinny and Lock (1996), enabling the future development of machine learning applications to paleomagnetism. Details of the database have been published in Earth-Science Reviews.

The main navigation page layout of the GPMDB
The main navigation page layout of the GPMDB.

The availability of global, uniformly formatted, and easily searchable databases is essential for big data-based and machine-leaning oriented geoscience research. We present a new and data-updated version of the online Global Paleomagnetic Database (GPMDB; http://gpmdb.net/). This version inherits most of the structure from the previous MS Access-based version of McElhinny and Lock (1996), but includes a new RELIABILITY table with Q and R quality factors, as well as the optional inclination shallowing-corrected data where applicable. It now contains 10,021 paleomagnetic poles (994 of them being high quality poles with Q > 5) from 8247 rock units, presented in 4175 publications. The database, publicly available from the GPMDB website, provides a user-friendly graphical interface with the navigation page, an interactive world map showing the localities of all paleomagnetically studied rock units and menu bars. Multi-parameter and multi-stage search of the database is available through a SEARCH menu bar, and users can export the search results as CSV files. We compare the Q and R quality factors for a selection of database entries, and provide examples of database queries. This database will be continuously updated, maintained and improved, providing a unique source of high-quality global paleomagnetic data for a wide range of Earth science research including paleogeographic reconstruction and testing of geodynamic models, and enabling future development of machine learning applications.


Contact person: Dr Sergei Pisarevsky & Prof Zheng-Xiang Li, Earth Dynamics Research Group, Curtin University.

Relevant publication:

Pisarevsky, S.A, Li, Z.X., Tetley, M.G., Liu, Y., Beardmore, J.P., 2022. An updated internet-based Global Paleomagnetic Database. Earth-Science Reviews. https://doi.org/10.1016/j.earscirev.2022.104258