Title of the dataset:
Hyperspectral dataset and associated MATLAB scripts supplementary to the paper 'Towards Robust River Plastic Detection: Combining Lab and Field-based Hyperspectral Imagery'

Creators:
Paolo Tasseron
Louise Schreyers
Tim van Emmerik
Joseph Peller
Lauren Biermann

Related publication:
Towards Robust River Plastic Detection: Combining Lab and Field-based Hyperspectral Imagery [Preprint], available online at https://doi.org/10.31223/X5RW7V

Description:
This database is the supplementary material of Tasseron et al., (2022): 'Towards Robust River Plastic Detection: Combining Lab and Field-based Hyperspectral Imagery' [Submitted and currently under review], preprint available online at https://doi.org/10.31223/X5RW7V. The dataset contains raw images, MATLAB scripts used for training classifier algorithms, trained pipelines, required toolboxes and labelled training datasets used in subsequent analyses. 

Keywords:
classification
hyperspectral
reflectance
macrolitter
spectral angle mapping
plastic
remote sensing
macroplastic

This dataset contains the following files:
- Image files used in analyses (.hdr, .mat, .raw)
- MATLAB scripts (.m)
- Trained pipelines to be imported in MATLAB(.mat)
- Toolboxes (.m)
- Training datasets to be imported in MATLAB (.mat)

Methods, materials and software:
MATLAB R2021B, PerClass Mira

This dataset is published under the CC BY (Attribution) license.
This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator.