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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Environmental Sources Marine & Wildlife Sign in to save

Eulerian modelling of the three-dimensional distribution of seven popular microplastic types in the global ocean dataset

Zenodo (CERN European Organization for Nuclear Research) 2019
Alethea S. Mountford, M. Á. Morales Maqueda

Summary

This dataset provides model outputs from a three-dimensional ocean circulation model simulating the global distribution of seven common microplastic types at different ocean depths. The data supports research into how different plastic densities and sizes determine where microplastics accumulate in the world's oceans.

Study Type Environmental

Dataset for the paper "Eulerian modelling of the three-dimensional distribution of seven popular microplastic types in the global ocean" by A. S. Mountford and M. A. Morales Maqueda. ORCA2_5d_00010101_00011231_ptrc_T_con.nc - control experiment (year 50) ORCA2_5d_00010101_00011231_ptrc_T_30m.nc - 30 m year-1 piston velocity sensitivity experiment (year 50) ORCA2_5d_00010101_00011231_ptrc_T_90m.nc - 90 m year-1 piston velocity sensitivity experiment (year 50) ORCA2_5d_00010101_00011231_ptrc_T_50.nc - neutrally buoyant sensitivity simulation (year 50) plastic_1_ts.nc - positively buoyant time series plastic_2_ts.nc - neutrally buoyant time series plastic_3_ts.nc - negatively buoyant time series plastic_input_ORCA2.nc - plastic input data file ORCA2_5d_00010101_00011231_grid_U.nc & ORCA2_5d_00010101_00011231_grid_V.nc - ocean velocity files

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