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- Dokumenttyp:
- Forschungsdaten
- Veröffentlichungsdatum:
- 26.03.2021
- Verantwortlich:
- Ivleva, Natalia P.
- Autorinnen / Autoren:
- Schwaferts, Christian; Schwaferts, Patrick; von der Esch, Elisabeth; Elsner, Martin; Ivleva, Natalia P.
- Institutionszugehörigkeit:
- TUM
- Herausgeber:
- TUM
- Titel:
- Data on “Which particles to select, and if yes, how many? Subsampling methods for Raman microspectroscopic analysis of very small microplastic.”
- Identifikator:
- doi:10.14459/2021mp1596628
- Enddatum der Datenerzeugung:
- 29.01.2021
- Fachgebiet:
- CHE Chemie
- Quellen der Daten:
- Simulationen / simulations
- Datentyp:
- Tabellen / tables; Programme und Anwendungen / software and applications
- Methode der Datenerhebung:
- 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).
- Beschreibung:
- Simulated samples for microplastic analysis by Raman microspectroscopy used in the correlated publication to evaluate subsample selections.
- Links:
- This dataset is related to the publication: 10.1007/s00216-021-03326-3
- Schlagworte:
- Raman microspectroscopy; Microplastic; Nanoplastic; Automation; Chemometrics; Bootstrap
- Technische Hinweise:
- 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/ - Sprache:
- en
- Rechte:
- by, http://creativecommons.org/licenses/by/4.0
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