Global mapping for the occurrence of all-sized microplastics in seafloor sediments

Based on the longitude, latitude and depth of 2,024 sampling points recorded in the literature, combined with the sampling date, the submarine current state data set of the corresponding sampling points was extracted. Navigate to the folder on the five submarine current state data sets discussed in this section. Here you will find various steps on how to extract the required data on the state of submarine currents based on the latitude and longitude of the sampling point, sampling depth, and sampling date.The comments for each Python file are explained as follows: `Literature Sampling Point.txt` - Screen and extract the basic data from ~150 valid literature sources related to the abundance of microplastics in marine sediments, including latitude and longitude, sampling depth, and sampling date. `bottom_circirculation_otu_PHIBOT.py` - The relative pressure at the bottom of the sea floor at the sampling point is extracted. `bottom_circirculation_otu_SALT.py` - The salinity of submarine currents at the sampling point is extracted. `bottom_circirculation_otu_THETA.py` - Submarine current temperatures are extracted from the sampling points. `bottom_circirculation_otu_UVEL.py` - The zonal velocity of the submarine current at the sampling point is extractd. `bottom_circirculation_otu_VVEL.py` - The meridional velocity of the submarine current at the sampling point is extracted. If you use these machine learning models for research applications and publish papers, please cite: Jingchun Feng, Canrong Li, Xiaonan Wu. Global mapping for the occurrence of all-sized microplastics in seafloor sediments, DOI: XXX.