We have developed a global geochemical compilation of major and trace element compositions that is twice as large as existing datasets with more than one-million unique samples. This compilation contains several additions compared to traditional databases that keep the non-traditional users in mind. For example, we estimate several physical properties, density, seismic velocity, and thermal conductivity, from major element chemistry. We also estimate heat production from the concentrations of U, Th and K.
We have also developed a set of codes to easily process and plot the data. A planned release of the codes should occur in the near future. We are also developing a set of geologic province maps that can be used as a standard for adding spatial metadata that can be used to filter samples to individual regions or types of tectonic provinces. I gave a talk a few months ago to the Australian Geochemical Network (AGN) discussing our work.
The data can be downloaded at Zenodo and codes can be found on GitHub.
Gard, M. G., Hasterok, D., Halpin, J., 2019. Global whole-rock geochemical database compilation. https://doi.org/10.5281/ZENODO.2592823
Gard, M., Hasterok, D., Halpin, J., 2019. Global whole-rock geochemical database compilation. Earth System Science Data, Earth System Science Data 11, 1553–1566. https://doi.org/10.5194/essd-11-1553-2019
Hasterok, D., Gard, M., Bishop, C. M. B., Kelsey, D., 2019. Chemical identification of metamorphic protoliths using machine learning methods. Computers & Geosciences, Computers & Geosciences 132, 56–68. https://doi.org/10.1016/j.cageo.2019.07.004