Data and analysis scripts for: Interactive effects of drought severity and simulated herbivory on tea (Camellia sinensis) volatile and non-volatile metabolites.

Published: 24 Dec 2018 | Version 1 | DOI: 10.17632/kfnjd22962.1
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Description of this data

Cleaned data and analysis scripts including GC/MS, LC/MS, photosynthesis, plant growth, and weather data. Data are stored as .rds files which can be opened in R. Analysis scripts are as .Rmd (R Markdown) files which can be viewed in R Studio where they can be converted to Word, PDF, or HTML files for easier viewing if you wish. Data descriptions are in a README file as well as in the .Rmd files themselves.

Experiment data files

This data is associated with the following publication:

Interactive effects of drought severity and simulated herbivory on tea (Camellia sinensis) volatile and non-volatile metabolites

Published in: Environmental and Experimental Botany

Latest version

  • Version 1

    2018-12-24

    Published: 2018-12-24

    DOI: 10.17632/kfnjd22962.1

    Cite this dataset

    Scott, Eric; Morimoto, Josh; Kfoury, Nicole; Han, Wen-Yan; Li, Xin; Robbat, Albert; Cash, Sean; Orians, Colin; Stepp, JR; Ahmed, Selena; Griffin, Tim (2018), “Data and analysis scripts for: Interactive effects of drought severity and simulated herbivory on tea (Camellia sinensis) volatile and non-volatile metabolites.”, Mendeley Data, v1 http://dx.doi.org/10.17632/kfnjd22962.1

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Categories

Chemical Ecology, Phytochemistry, Plant Physiology, Gas Chromatography Mass Spectrometry, Liquid Chromatography Mass Spectrometry, Analytical Chemistry Data Analysis

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Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?

This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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