Tipus de document: info:eu-repo/semantics/other
DOI: 10.5281/zenodo.7941230
Publicacions relacionades: 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
Grup de recerca: Grup de recerca en Oncologia
Departament: Medicina i Cirurgia
Autor: Gumà, Josep
Data alta repositori: 2023-05-16
Any de publicació de la dataset: 2023
Matèria: Medicina
Identificador del investigador: 0000-0001-7541-9832
DOI de la publicació relacionada: 10.1016/j.chemolab.2023.104938
Idioma: en
Publicat per (editora): Universitat Rovira i Virgili (URV)
Drets d'accés: info:eu-repo/semantics/openAccess
Resum: 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