Py-GC/MS Dataset Loader: GeorgiosKirtsanis/pygcms_dataset_loader

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Autori principali:	Kirtsanis, Georgios, Dolias, Georgios, Ioannidis, Konstantinos
Natura:	Recurso digital
Lingua:	inglese
Pubblicazione:	Zenodo 2026
Soggetti:	Py-GC/MS FAMEs Python Open-Source Package Dataset Loader
Accesso online:	Acceder al recurso
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author	Kirtsanis, Georgios Dolias, Georgios Ioannidis, Konstantinos
author_facet	Kirtsanis, Georgios Dolias, Georgios Ioannidis, Konstantinos
contents	<div class="markdown-heading"> <h1 class="heading-element">Py-GC/MS Dataset Loader</h1> <a class="anchor" href="https://github.com/GeorgiosKirtsanis/pygcms_dataset_loader#py-gcms-dataset-loader"></a>Python-based dataset loader for Py-GC/MS dataset of bacterial species stored in HDF5 format.</div> <div class="markdown-heading"> </div> <div class="markdown-heading"> <h2 class="heading-element">Dataset Information</h2> <ul> <li><strong>Name: Py-GC/MS Dataset for the Classification of Bacterial Species</strong></li> <li><strong>Version:</strong> 1.0</li> <li><strong>Date:</strong> 2026-04</li> <li><strong>Source: Zenodo</strong></li> <li><strong>DOI:<a href="https://doi.org/10.5281/zenodo.19659865" rel="nofollow">https://doi.org/10.5281/zenodo.19659865</a></strong></li> <li><strong>License: Creative Commons Attribution 4.0 International (CC BY 4.0)</strong></li> </ul> </div> <div class="markdown-heading"> <h2 class="heading-element">Main Script Features</h2> <ul> <li>Load 2D GCxMS chromatograms</li> <li>Load 26 FAME features</li> <li>Extract structured labels: <ul> <li>bacterial class</li> <li>gram type</li> <li>concentration level</li> </ul> </li> <li>Generate dataset summary (attributes, samples, classes, distributions)</li> <li>Visualize random chromatogram samples</li> <li>Return ready-to-use arrays (X, y) for ML/DL pipelines</li> </ul> </div>
format	Recurso digital
id	zenodo_https___doi_org_10_5281_zenodo_20021088
institution	Zenodo
language	eng
publishDate	2026
publisher	Zenodo
record_format	zenodo
spellingShingle	Py-GC/MS Dataset Loader: GeorgiosKirtsanis/pygcms_dataset_loader Kirtsanis, Georgios Dolias, Georgios Ioannidis, Konstantinos Py-GC/MS FAMEs Python Open-Source Package Dataset Loader <div class="markdown-heading"> <h1 class="heading-element">Py-GC/MS Dataset Loader</h1> <a class="anchor" href="https://github.com/GeorgiosKirtsanis/pygcms_dataset_loader#py-gcms-dataset-loader"></a>Python-based dataset loader for Py-GC/MS dataset of bacterial species stored in HDF5 format.</div> <div class="markdown-heading"> </div> <div class="markdown-heading"> <h2 class="heading-element">Dataset Information</h2> <ul> <li><strong>Name: Py-GC/MS Dataset for the Classification of Bacterial Species</strong></li> <li><strong>Version:</strong> 1.0</li> <li><strong>Date:</strong> 2026-04</li> <li><strong>Source: Zenodo</strong></li> <li><strong>DOI:<a href="https://doi.org/10.5281/zenodo.19659865" rel="nofollow">https://doi.org/10.5281/zenodo.19659865</a></strong></li> <li><strong>License: Creative Commons Attribution 4.0 International (CC BY 4.0)</strong></li> </ul> </div> <div class="markdown-heading"> <h2 class="heading-element">Main Script Features</h2> <ul> <li>Load 2D GCxMS chromatograms</li> <li>Load 26 FAME features</li> <li>Extract structured labels: <ul> <li>bacterial class</li> <li>gram type</li> <li>concentration level</li> </ul> </li> <li>Generate dataset summary (attributes, samples, classes, distributions)</li> <li>Visualize random chromatogram samples</li> <li>Return ready-to-use arrays (X, y) for ML/DL pipelines</li> </ul> </div>
title	Py-GC/MS Dataset Loader: GeorgiosKirtsanis/pygcms_dataset_loader
topic	Py-GC/MS FAMEs Python Open-Source Package Dataset Loader
url	https://doi.org/10.5281/zenodo.20021088