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Published August 26, 2024 | Version v2
Dataset Open

A Hyperspectral Reflectance Database of Plastic Debris for River Ecosystems

Description

This is a unique hyperspectral reflectance dataset of weathered and virgin floating plastic debris with different sizes and types under controlled laboratory conditions.  The dataset contains the NETCDF and CSV files.
 
Each NETCDF file follows the labeling structure in the following format:
    
    ├─ ID                                                               # Observation Number
    └─├─ Polymer                                                 # Polymer Type
         └─├─ Background                                      # Background setting  
              └─├─Sediment Concentration               # Sediment concentration
                   └─├─Debris Color                             # Debris color  
                        └─├─Plastic Fraction                    # Percentage of plastic fraction
                             └──Quality Flag                       # Quality flag (1: lowest, 5: highest)
 

CSV Files Description:

 
1) spectradictionary.csv: contains the spectra of various debris.
 

- Column 1: Code representing the type of debris and background setting:

  - 10: PET in Clear water
  - 11: PET in Turbid water
  - 12: PET in Foamy water
  - 20: HDPE in Clear water
  - 21: HDPE in Turbid water
  - 22: HDPE in Foamy water
  - 30: LDPE in Clear water
  - 31: LDPE in Turbid water
  - 32: LDPE in Foamy water
  - 40: PP in Clear water
  - 41: PP in Turbid water
  - 42: PP in Foamy water
  - 50: EPSF in Clear water
  - 51: EPSF in Turbid water
  - 52: EPSF in Foamy water
  - 60: Mix in Clear water
  - 61: Mix in Turbid water
  - 62: Mix in Foamy water
  - 70: Weathered in Clear water
  - 71: Weathered in Turbid water
  - 72: Weathered in Foamy water

- Column 2: Plastic fraction in percentage (%).
- Columns 3 to end: Wavelength numbers ranging from 350 to 2500.

 
2) Background.csv: contains the spectra of various backgrounds (clear, turbid and foamy water))
 
 
Acknowledgment: The funding support from the Legislative-Citizen Commission on Minnesota Resources (LCCMR, M.L.2021 E812RSM) is greatly acknowledged
                                

Files

Files (9.3 GB)

Name Size Download all
md5:23efa7d01962bf2dac52dfa05ed7f446
27.7 MB Download
md5:271dc04a6a475bf93bba3cf7216ca20f
9.3 GB Download

Additional details

Software

Repository URL
https://github.com/olyae001/Hyperspectral_reflectance_library
Programming language
Python, MATLAB