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Hyperspectral reflectance dataset of pristine, weathered and biofouled plastics

2022 5 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Giulia Leone, Ana I. Catarino, Liesbeth De Keukelaere, Mattias Bossaer, Els Knaeps, Gert Everaert

Summary

Researchers investigated the occurrence of microplastics in the surface waters and sediments of high Arctic rivers during spring snowmelt, finding that meltwater events delivered pulses of particle-rich water to coastal seas. Stored microplastics released by melting snow and ice were identified as a seasonal amplifier of Arctic freshwater microplastic loading.

Study Type Environmental

Abstract. This work presents a hyperspectral reflectance dataset of macroplastic samples acquired using Analytical Spectral Devices (ASD) FieldSpec 4. Samples analysed consisted of pristine, artificially weathered and biofouled plastic items and plastic debris samples collected in the docks of the Port of Antwerp and in the river Scheldt near Temse Bridge (Belgium). The hyperspectral signal of each sample was measured in controlled dry conditions in an optical calibration facility at the Flemish Institute for Technological Research, and, for a subset of plastics, under wet and submerged conditions in a silo tank at Flanders Hydraulics. The wet and submerged hyperspectral signals were measured in a mesocosm setting that mimicked environmentally relevant concentrations of freshwater microalgae and of suspended sediment. The ASD was equipped with an 8° field of view at the calibration facility, and a 1° field of view was used in the mesocosm setting. The dataset obtained complies with the Findability, Accessibility, Interoperability, and Reuse (FAIR) principles and is available in the open-access repository Marine Data Archive (https://doi.org/10.14284/530, Leone et al., 2021).

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