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Data · dataset · 2026

From simulation to chemometrics: an ASCA-based validation of a photonic integrated platform for fungal spore detection - source code and spectral datasets

Listed in Teesside University Research Data Repository

This repository gathers the data produced by the methods presented the associated article, and to obtain the results discussed in the same article.

Description

The Python code file uses the Femwell package which implements the finite element method (FEM) to characterize the fabricated waveguide. The joined csv files are the spectra acquired for Penicillium expansum spores.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Simulation 75%
Provenance · 1 source records, 7 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/n3xvgcbbyw.110 h agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[method].local:method:simulationenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
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