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Replication package: scenario-based sensitivity of the global surface microplastic distribution to ENSO (self-organizing map framework)
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This is a shared data and code package, not a standalone study. It provides the computer code and resulting data files used to examine how ocean climate patterns (El Nino cycles) might relate to global patterns of floating microplastic pollution, using a mapping and clustering method. Original source datasets are not included but their download locations are listed.
Anonymous replication package supporting a double-blind peer review. Contains (i) all analysis code (scenario-sensitivity pipeline, spatial statistics, SOM clustering and stability tests, type-switching analysis, exposure-baseline statistics) and (ii) all derived data products generated by that code. Public input datasets (NOAA Nino3.4 index, Meijer et al. 2021 riverine input model, Natural Earth coastline vectors) are not redistributed; download locations are listed in README.md. Author identity is disclosed upon acceptance.
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This dataset provides mapped microplastic abundance estimates from the Lebreton ocean dispersion model, contributing to a comparative analysis of global microplastic distribution models published in Environmental Research Letters. The data supports research into the scale and patterns of ocean plastic pollution.
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