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Dataset of spectral reflectances and hypercubes of submerged plastic litter, including COVID-19 medical waste, pristine plastics, and ocean-harvested plastics

DOI:10.4121/769cc482-b104-4927-a94b-b16f6618c3b3.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/769cc482-b104-4927-a94b-b16f6618c3b3

Datacite citation style

de Vries, Robin V.F.; Shungudzemwoyo P. Garaba (2023): Dataset of spectral reflectances and hypercubes of submerged plastic litter, including COVID-19 medical waste, pristine plastics, and ocean-harvested plastics. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/769cc482-b104-4927-a94b-b16f6618c3b3.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Usage statistics

765
views
833
downloads

Geolocation

Wilhelmshaven, Germany
lat (N): 53.514964
lon (E): 8.146192
view on openstreetmap

Time coverage

01-09-2021

Licence

CC BY 4.0

This dataset contains hyperspectral and hypercube measurements of several types of plastic debris as well as pristine plastics and COVID19 related medical PPE.


Contact: Robin de Vries, robin.devries@theoceancleanup.com


Hyperspectral measurements were collected with a Spectral Evolution SR-3501 spectroradiometer, in the filenames abbreviated as SE.

Hypercube measurements were collected with a SPECIM IQ camera, abbreviated as SPECIM.


The measurements were illuminated by two ARRI Arrilite 750 Plus 575 W HPL halogen tungsten lamps.

History

  • 2023-04-17 first online, published, posted

Publisher

4TU.ResearchData

Format

CSV files, .zip files with raw data, .jpeg images for sample identification, .py scripts for recommended data management

Funding

  • Discovery Element of the European Space Agency's Basic Activities (ESA contract no. 4000132036/20/NL/GLC) (grant code 4000132036/20/NL/GLC) [more info...] European Space Agency
  • Deutsche Forschungsgemeinschaft grant no. 417276871

Organizations

The Ocean Cleanup Foundation

DATA

Files (9)