Document type: info:eu-repo/semantics/other
DOI: 10.5281/zenodo.7941230
Related publications: Oller-Moreno, S., Mallafré-Muro, C., Fernandez, L., Caballero, E., Blanco, A., Gumà, J., Marco, S., & Pardo, A. (2023). GCIMS: An R package for untargeted gas chromatography – Ion mobility spectrometry data processing. Chemometrics and Intelligent Laboratory Systems, 241, 104938. https://doi.org/10.1016/j.chemolab.2023.104938
Research group: Grup de recerca en Oncologia
Departament: Medicina i Cirurgia
Author: Gumà, Josep
Repository ingest date: 2023-05-16
Dataset publication year: 2023
Subject matter: Medicina
Researcher identifier: 0000-0001-7541-9832
Related publication's DOI: 10.1016/j.chemolab.2023.104938
Language: en
Published by (editorial): Universitat Rovira i Virgili (URV)
Access rights: info:eu-repo/semantics/openAccess
Abstract: The dataset includes the set of urine samples in .mea format, which can be read using the GCIMS R package. It also contains analytical standards in the same format, used for quality control of the equipment and as a retention time alignment reference. If you want to preview the data, you do not need to download the full Urines.zip and AnalyticalStandards.zip files, but rather use the smaller UrinesDemo.zip and AnalyticalStandardsDemo.zip, with a subset of just three samples of the whole dataset. Besides the actual measurements, you will find the annotations.csv and reference_peaks.csv files, with sample annotations and some reference peaks identified in the samples.
Repositori URV