Dataset Open Access

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

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

BibTeX Export

@misc{schoenig_jan_2021_1220,
  author       = {Schoenig, Jan and
                  von Eynatten, Hilmar and
                  Tolosana-Delgado, Raimon and
                  Meinhold, Guido},
  title        = {{Garnet major-element composition as an indicator 
                   of host-rock type: a machine learning approach
                   using the random forest classifier / supplementary
                   data}},
  month        = oct,
  year         = 2021,
  doi          = {10.14278/rodare.1220},
  url          = {https://doi.org/10.14278/rodare.1220}
}
2,009
581
views
downloads
All versions This version
Views 2,0092,009
Downloads 581581
Data volume 853.5 MB853.5 MB
Unique views 1,5801,580
Unique downloads 333333
More info on how stats are collected.
Publication date:
October 21, 2021
DOI:
10.14278/rodare.1220

RODARE DOI Badge

DOI 

10.14278/rodare.1220

Markdown 

[![DOI](https://rodare.hzdr.de/badge/DOI/10.14278/rodare.1220.svg)](https://doi.org/10.14278/rodare.1220)

reStructedText 

.. image:: https://rodare.hzdr.de/badge/DOI/10.14278/rodare.1220.svg
   :target: https://doi.org/10.14278/rodare.1220

HTML 

<a href="https://doi.org/10.14278/rodare.1220"><img src="https://rodare.hzdr.de/badge/DOI/10.14278/rodare.1220.svg" alt="DOI"></a>

Image URL 

https://rodare.hzdr.de/badge/DOI/10.14278/rodare.1220.svg

Target URL 

https://doi.org/10.14278/rodare.1220

Keyword(s):
garnet major-element composition host-rock discrimination
Related identifiers:
Identical to:
https://www.hzdr.de/publications/Publ-33278, https://static-content.springer.com/esm/art%3A10.1007%2Fs00410-021-01854-w/MediaObjects/410_2021_1854_MOESM1_ESM.xlsx
Part of:
10.1007/s00410-021-01854-w
Communities:
License (for files):
Creative Commons Attribution 4.0 International

Versions

Version 1 10.14278/rodare.1220 Oct 21, 2021
Cite all versions? You can cite all versions by using the DOI 10.14278/rodare.1219. This DOI represents all versions, and will always resolve to the latest one. Read more.

Share

Cite as

Export