Supplementary data to: Presence of nanoplastics in rural and remote surface waters

This is the repository of the supplementary, data and it contains: 1. Raw .h5 data files as original output of TD-PTR-MS for Swedish measurements; 2. Raw .h5 data files as original output of TD-PTR-MS for Siberian measurements; 3. PTRwid version of software we used for mass spectra and molar ratio extraction; 4. Data analysis of mass spectra: subtraction and limit of detection calculation for Swedish measurements; 5. Data analysis of mass spectra: subtraction and limit of detection calculation for Siberian measurements; 6. Final mass spectra for all the experiment that are used for nanoplastics fingerprinting; 7. Nanoplastics Fingerprint scripts used for the experiments; All “massLibr” files contain the mass spectra of virgin plastics with molar ratio (ppb) value for each ion detected in the plastics vapours (3 decimal point precision of m/z). The script files were written in PYTHON (compatible with PYTHON 2 and 3 - all versions). “DataFlip.py” is used for formatting the data into the matrix acceptable for the fingerprinting script. “FngClass.py” and “funFunctions.py” are supporting classes used for the main scripts. matchingTest.py is a main script used for comparing a sample mass spectrum to the one from the plastics library (e.g. for PET use “massLibrPET.csv”). matchingLoopQ2.py is a main script used for comparing all the samples with all the plastics from the library (“massLibr” files). 8. Nanoplastics Fingerprint scores for Sweden site; These are the outputs from the script “matchingLoopQ2.py” for each plastics type and contain the parameters used for running the script. 9. Nanoplastics Fingerprint scores for Siberian site; 10. HYSPLIT trajectory frequencies for Sweden site (monthly, up to one year prior to the sampling); 11. HYSPLIT trajectory frequencies for Siberian site (monthly, up to one year prior to the sampling). 12. HYSPLIT Dispersion model simulations for Siberian and Sweden site.

Additional Info

Source http://doi.org/10.24416/UU01-X8W0UY
Creator(s) Dusan Materic
Access type Open Access
Collections Dusan Materic
Publisher Utrecht University
Year of publication 2022