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A multilevel dataset of microplastic abundance in the world’s upper ocean and the Laurentian Great Lakes

Atsuhiko Isobe, Takafumi Azuma, Muhammad Reza Cordova, Andrés Cózar, François Galgani, Ryuichi Hagita, La Daana K. Kanhai, Keiri Imai, Shinsuke Iwasaki, Shin’ichro Kako, Nikolai Kozlovskii, Amy Lusher, Sherri A. Mason, Yutaka Michida, Takahisa Mituhasi, Yasuhiro Morii, T. Mukai, Anna Popova, Kenichi Shimizu, Tadashi Tokai, Keiichi Uchida, Mitsuharu Yagi, Weiwei Zhang

2021Microplastics and Nanoplastics193 citationsDOIOpen Access PDF

Abstract

Abstract A total of 8218 pelagic microplastic samples from the world’s oceans were synthesized to create a dataset composed of raw, calibrated, processed, and gridded data which are made available to the public. The raw microplastic abundance data were obtained by different research projects using surface net tows or continuous seawater intake. Fibrous microplastics were removed from the calibrated dataset. Microplastic abundance which fluctuates due to vertical mixing under different oceanic conditions was standardized. An optimum interpolation method was used to create the gridded data; in total, there were 24.4 trillion pieces (8.2 × 10 4 ~ 57.8 × 10 4 tons) of microplastics in the world’s upper oceans.

Topics & Concepts

MicroplasticsPelagic zoneEnvironmental scienceAbundance (ecology)SeawaterOceanographyRaw dataInterpolation (computer graphics)Marine debrisMarine lifeMeteorologyFisheryGeologyGeographyStatisticsComputer scienceMathematicsBiologyDebrisComputer graphics (images)AnimationMicroplastics and Plastic PollutionRecycling and Waste Management Techniques
A multilevel dataset of microplastic abundance in the world’s upper ocean and the Laurentian Great Lakes | Litcius