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

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 × 104 ~ 57.8 × 104 tons) of microplastics in the world’s upper oceans.

Keyword(s)

Microplastic abundance, 2D maps in the world’s ocean, Multilevel dataset

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Supplementary Fig. 1 Number of microplastic surveys conducted (see also Table 1). The upper panel shows the number in each year from 2000 to 2019, while the lower panel represents the number during..
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Supplementary Fig. 2 Size distribution of microplastics collected by Project #2. Bar height represents the particle count per unit seawater volume. Note that the bar width is 0.1, 1, and 10 mm for ..
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Additional file 3: All data generated are available in supplementary information files (Level012.csv, Level3.csv, Level3pm.csv, and Level3wm.csv).
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Isobe Atsuhiko, Azuma Takafumi, Cordova Muhammad Reza, Cózar Andrés, Galgani Francois, Hagita Ryuichi, Kanhai La Daana, Imai Keiri, Iwasaki Shinsuke, Kako Shin’ichro, Kozlovskii Nikolai, Lusher Amy L., Mason Sherri A., Michida Yutaka, Mituhasi Takahisa, Morii Yasuhiro, Mukai Tohru, Popova Anna, Shimizu Kenichi, Tokai Tadashi, Uchida Keiichi, Yagi Mitsuharu, Zhang Weiwei (2021). A multilevel dataset of microplastic abundance in the world’s upper ocean and the Laurentian Great Lakes. Microplastics and Nanoplastics. 1 (1). 16 (14p.). https://doi.org/10.1186/s43591-021-00013-z, https://archimer.ifremer.fr/doc/00722/83376/

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