October 21, 2021 Dataset Open Access

Schoenig, Jan; von Eynatten, Hilmar; Tolosana-Delgado, Raimon; Meinhold, Guido

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    "description": "<p>The database includes 13615 garnet compositions of eight oxides commonly analysed in lab routines: SiO<sub>2</sub>, TiO<sub>2</sub>, Al<sub>2</sub>O<sub>3</sub>, Cr<sub>2</sub>O<sub>3</sub>, FeO<sub>total</sub>, MnO, MgO, and CaO (in wt%). These are complemented by the following covariables:</p>\n\n<p><strong>setting and metamorphic facies class</strong>: code indicating the geologic/tectonic setting of the host rock</p>\n\n<p><strong>composition class</strong>: code indicating the compositional class of the host rock</p>\n\n<p><strong>author</strong>: authors of the original paper providing the data</p>\n\n<p><strong>journal</strong>: journal of the original paper</p>\n\n<p><strong>region</strong>: origin of the data, in the format &quot;region, country&quot;</p>\n\n<p><strong>sample name</strong>: sample ID in the original paper</p>\n\n<p><strong>Pavg(kbar)</strong>: if available, indicated pressure</p>\n\n<p><strong>Tavg(&deg;C)</strong>: if available, indicated temperature</p>\n\n<p><strong>host-rock type and/or metamorphic facies</strong>: facies indication of host rock</p>\n\n<p><strong>lithology and/or protolith</strong>: composition indication of host rock</p>\n\n<p><strong>SiO2</strong>: wt%</p>\n\n<p><strong>TiO2</strong>: wt%</p>\n\n<p><strong>Al2O3</strong>: wt%</p>\n\n<p><strong>Cr2O3</strong>: wt%</p>\n\n<p><strong>FeOtotal</strong>: wt%</p>\n\n<p><strong>MnO</strong>: wt%</p>\n\n<p><strong>MgO</strong>: wt%</p>\n\n<p><strong>CaO</strong>: wt%</p>\n\n<p>&nbsp;</p>\n\n<p>This research was funded by DFG grant EY 23/27-1.</p>", 
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    "title": "Garnet major-element composition as an indicator of host-rock type: a machine learning approach using the random forest classifier / supplementary data", 
    "creators": [
      {
        "affiliation": "Geoscience Centre G\u00f6ttingen, University of G\u00f6ttingen, Goldschmidtstra\u00dfe 3, 37077 G\u00f6ttingen, Germany", 
        "orcid": "0000-0001-9296-7582", 
        "name": "Schoenig, Jan"
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        "affiliation": "Geoscience Centre G\u00f6ttingen, University of G\u00f6ttingen, Goldschmidtstra\u00dfe 3, 37077 G\u00f6ttingen, Germany", 
        "orcid": "0000-0002-2823-3194", 
        "name": "von Eynatten, Hilmar"
      }, 
      {
        "affiliation": "Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resources Technology, Chemnitzer Stra\u00dfe 40, 09599 Freiberg, Germany", 
        "orcid": "0000-0001-9847-0462", 
        "name": "Tolosana-Delgado, Raimon"
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      {
        "affiliation": "Geoscience Centre G\u00f6ttingen, University of G\u00f6ttingen, Goldschmidtstra\u00dfe 3, 37077 G\u00f6ttingen, Germany; School of Geography, Geology and the Environment, Keele University, Keele, Staffordshire, ST5 5BG, UK; Institute for Geology, TU Bergakademie Freiberg, Bernhard-von-Cotta-Stra\u00dfe 2, 09599 Freiberg, Germany", 
        "orcid": "0000-0001-8375-8375", 
        "name": "Meinhold, Guido"
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    "publication_date": "2021-10-21", 
    "keywords": [
      "garnet major-element composition", 
      "host-rock discrimination"
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    "references": [
      "Sch\u00f6nig, J.; von Eynatten, H.; Tolosana-Delgado, R.; Meinhold, G. (in press) Garnet major-element composition as an indicator of host-rock type: a machine learning approach using the random forest classifier. Contributions to Mineralogy and Petrology; .doi: 10.1007/s00410-021-01854-w"
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