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Title:

Data on “Which particles to select, and if yes, how many? Subsampling methods for Raman microspectroscopic analysis of very small microplastic.”

Document type:
Forschungsdaten
Publication date:
26.03.2021
Responsible:
Ivleva, Natalia P.
Authors:
Schwaferts, Christian; Schwaferts, Patrick; von der Esch, Elisabeth; Elsner, Martin; Ivleva, Natalia P.
Author affiliation:
TUM
Publisher:
TUM
Identifier:
doi:10.14459/2021mp1596628
End date of data production:
29.01.2021
Subject area:
CHE Chemie
Resource type:
Simulationen / simulations
Data type:
Tabellen / tables; Programme und Anwendungen / software and applications
Description:
Simulated samples for microplastic analysis by Raman microspectroscopy used in the correlated publication to evaluate subsample selections.
Method of data assessment:
Simulations and analyses were performed in R (version 4.0.0) using the packages “boot” (version 1.3.24), “spatstat” (version 1.63.3), “ggplot2” (version 3.3.0), “ggforce” (version 0.3.1), and “stringr” (version 1.4.0).
Links:
This dataset is related to the publication: 10.1007/s00216-021-03326-3
Key words:
Raman microspectroscopy; Microplastic; Nanoplastic; Automation; Chemometrics; Bootstrap
Technical remarks:
View and download (2.85 GB total, 2 files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1596628):
rsync rsync://m1596628@dataserv.ub.tum.de/m1596628/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
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