Data for: Applying novel approaches for data cleaning and trends clustering in VOCs time-series analysis

Published: 25 Aug 2018 | Version 1 | DOI: 10.17632/k9w6rybzyn.1

Description of this data

The two datasets report all the volatiles identified in the experiments having a clear trend in the data (as indicated in the last column).

Experiment data files

This data is associated with the following publication:

Applying novel approaches for GC × GC-TOF-MS data cleaning and trends clustering in VOCs time-series analysis : Following the volatiles fate in grass baths through passive diffusion sampling

Published in: Journal of Chromatography B

Latest version

  • Version 1

    2018-08-25

    Published: 2018-08-25

    DOI: 10.17632/k9w6rybzyn.1

    Cite this dataset

    Narduzzi, Luca; Mattivi, Fulvio; Beretta, Alberto; Tuohy, Kieram; Pedrotti, Franco; Franciosi, Elena; Carlin, Silvia (2018), “Data for: Applying novel approaches for data cleaning and trends clustering in VOCs time-series analysis”, Mendeley Data, v1 http://dx.doi.org/10.17632/k9w6rybzyn.1

Categories

Biochemistry, Metabolomics

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Licence

CC0 1.0 Learn more

The files associated with this dataset are licensed under a Public Domain Dedication licence.

What does this mean?

You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.

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