CNNs to resolve algae pigments from absorbance spectra

Description

These data are absorbance spectra, photosynthetic pigment concentrations of lake water samples and one dimensional convolutional neural network-based calibration models to resolve the pigments from the spectra. Please see README.txt for more detailed description of the data.

Year of publication

2023

Authors

Centre for Ecology and Hydrology

Justyna Olszewska - Contributor

Linda May - Contributor

University of Jyväskylä

Informaatioteknologian tiedekunta

Pauliina Salmi - Publisher, Creator

Ilkka Pölönen - Contributor

Salli Pääkkönen - Contributor

Marco Calderini - Contributor

Sami Taipale - Contributor

University of Stirling

Daniel Atton Beckmann - Contributor

Laura Perozzi - Contributor

Peter Hunter - Contributor

Other information

Fields of science

Computer and information sciences; Environmental sciences

Language

English

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Keywords

convolutional neural network, chlorophyll, imaging spectroscopy, phytoplankton pigments