Digging deeper - A new data mining workflow for improved processing and interpretation of high resolution GC-Q-TOF MS data in archaeological research

Korf A, Hammann S, Schmid R, Froning M, Hayen H, Cramp LJ (2020)

Publication Type: Journal article

Publication year: 2020

Journal

Scientific Reports Nature Publishing Group: Open Access Journals - Option B

Book Volume: 10

Article Number: 767

Issue: 1

DOI: 10.1038/s41598-019-57154-8

Authors with CRIS profile

Simon Hammann Juniorprofessur für Lebensmittelsicherheit und -qualität (am Henriette Schmidt-Burkhardt Lehrstuhl)

Involved external institutions

Westfälische Wilhelms-Universität (WWU) Münster DE Germany (DE) University of Bristol GB United Kingdom (GB)

How to cite

APA:

Korf, A., Hammann, S., Schmid, R., Froning, M., Hayen, H., & Cramp, L.J. (2020). Digging deeper - A new data mining workflow for improved processing and interpretation of high resolution GC-Q-TOF MS data in archaeological research. Scientific Reports, 10. https://dx.doi.org/10.1038/s41598-019-57154-8

MLA:

Korf, Ansgar, et al. "Digging deeper - A new data mining workflow for improved processing and interpretation of high resolution GC-Q-TOF MS data in archaeological research." Scientific Reports 10 (2020).

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