Connec&ng GPlates to data: use of the pyGPlates API in the automated download, processing, and analysis of remote datasets Michael G. Tetley1, Simon E. Williams1, Nathaniel P. Bu@erworth1, John Cannon1, and R. Dietmar Müller1 1EarthByte Group, School of Geosciences, University of Sydney, NSW, Australia.
[email protected]
What is GPlates?
What is the pyGPlates API?
GPlates is an open-‐source, cross-‐pla Query MagIC database < /Python > ( return: MagIC SmartBook ) < Python > Process MagIC data < /Python > ( return: Python-‐ready dataset ) < Python > Calculate paleomagne&c sta&s&cs / poles < /Python> ( return: processed paleomagne;c data ) < pyGPlates > Assign reconstruc&on plate IDs < /pyGPlates > ( return: loca;on and age-‐coded data ) < pyGPlates > Generate GPML + VGP files < /pyGPlates > ( return: GPlates-‐ready input files ) < GPlates > Drag & drop to visualise reconstruc&on poles < /GPlates > Figure 3: Symbolic workflow for retrieval, processing, and output of MagIC paleomagne&c data.
Figure 4: Tectonic blocks bounding EarthChem copper (Cu) geochemical data reconstructed to 650Ma. Data points are colour-‐coded by Cu content (ppm).
Acknowledgements
References
• Lisa Tauxe, Cathy Constable & Rupert Minne\, MagIC database, Scripps Ins=tute of Oceanography, UC San Diego • Zheng-‐Xiang Li from Cur=n University, WA • Jason Ash, Leslie Hsu & Kers=n Lehnert from EarthChem
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