We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Processed NIR-HSI and self-organizing map dataset for microplastic classification on sandy substrates
Summary
Scientists have developed a camera-based scanning technique that can detect and map tiny plastic pollution (microplastics) on sandy beaches without disturbing the sand or destroying samples. This matters because microplastics on beaches can wash into oceans, work their way into seafood, and eventually end up in the food we eat, better detection tools like this could help track and reduce contamination before it spreads. Note that this specific dataset is a technical resource (processed reference data) supporting the method, rather than a study of health effects itself.
Processed supporting dataset for the manuscript 'Hyperspectral imaging and self-organizing map approach for non-destructive monitoring of microplastic contamination in sandy substrates.' The collection contains processed reference spectra for PET, PE, PP, PS, and sand; trained self-organizing map inputs and outputs; percent-based expansion tolerance colormaps; and representative projection and classification structures used for polymer mapping and surface-coverage estimation. It is not a complete archive of all raw hyperspectral cubes or every intermediate variable.