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Published April 15, 2019 | Version v1
Dataset Open

Frictionless Tabular data package for GC-MS data from Rose Genome article published in Nature genetics, June, 2018

  • 1. University of Oxford

Description

This dataset, in the form of a Frictionless Tabular Data Package (https://frictionlessdata.io/specs/tabular-data-package/), holds the measurements of 61 known metabolites (all annotated with resolvable CHEBI identifiers and InChi), measured by gas chromatography mass-spectrometry (GC-MS) in 6 different Rose cultivars (all annotated with resolvable NCBITaxId) and 3 organism parts (all annotated with resolvable Plant Ontology identifiers). The data was extracted from a supplementary material table, available from https://static-content.springer.com/esm/art%3A10.1038%2Fs41588-018-0110-3/MediaObjects/41588_2018_110_MOESM3_ESM.zip and published alongside the Nature Genetics manuscript identified by the following doi: https://doi.org/10.1038/s41588-018-0110-3, published in June 2018. This dataset is used to demonstrate how to make data Findeable, Accessible, Discoverable and Interoperable(FAIR) and how Tabular Data Package representations can be easily mobilized for re-analysis and data science. It is associated to the following project available from github at: https://github.com/proccaserra/rose2018ng-notebook with all necessary information and Jupyter notebooks.

Files

rose-aroma-naturegenetics2018-treatment-group-mean-sem-report-datapackage.json

Additional details

Related works

Funding

PhenoMeNal – PhenoMeNal: A comprehensive and standardised e-infrastructure for analysing medical metabolic phenotype data 654241
European Commission