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Garnet major-element composition as an indicator of host-rock type: a machine learning approach using the random forest classifier / supplementary data

Schoenig, J.; von Eynatten, H.; Tolosana Delgado, R.; Meinhold, G.

The database includes 13615 garnet compositions of eight oxides commonly analysed in lab routines: SiO2, TiO2, Al2O3, Cr2O3, FeOtotal, MnO, MgO, and CaO (in wt%). These are complemented by the following covariables:

setting and metamorphic facies class: code indicating the geologic/tectonic setting of the host rock

composition class: code indicating the compositional class of the host rock

author: authors of the original paper providing the data

journal: journal of the original paper

region: origin of the data, in the format "region, country"

sample name: sample ID in the original paper

Pavg(kbar): if available, indicated pressure

Tavg(°C): if available, indicated temperature

host-rock type and/or metamorphic facies: facies indication of host rock

lithology and/or protolith: composition indication of host rock

SiO2: wt%

TiO2: wt%

Al2O3: wt%

Cr2O3: wt%

FeOtotal: wt%

MnO: wt%

MgO: wt%

CaO: wt%

This research was funded by DFG grant EY 23/27-1.

Keywords: garnet major-element composition; host-rock discrimination

  • Reseach data in the HZDR data repository RODARE
    Publication date: 2021-10-21
    DOI: 10.14278/rodare.1219
    License: CC-BY-4.0
    Embargo: 31.12.2022

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Permalink: https://www.hzdr.de/publications/Publ-33278
Publ.-Id: 33278