Automated Author ProfileSimpal Suman
Simpal Suman
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
For the purpose of identifying meso- and macroplastics from various environmental sites, we have developed an Attenuated Total Reflectance-Fourier Transform Infrared spectroscopy (ATR-FTIR)based spectral library of polyethylene (PE), polypropylene (PP), and polyethylene terephthalate (PET). The bulky plastic samples (pre and post-consumer used) were collected from houses, restaurants, and stationary shops in the Vellore district of Tamil Nadu (India). All samples were collected during the day time. The collected items were plastic bottles, covering sheets, food delivery boxes, carry bags, and other various forms. The collection criteria for bulky plastics were based on the before use and after use concepts before entering the environment. There were 63 samples collected, with 21 samples from each polymer). In this study, there was no differentiation made between low-density polyethylene (LDPE) and high-density polyethylene (HDPE). This internal spectral library is constructed in a single CSV file, including wavenumber, transmittance, sample column, colours, sources, and usage nature. We only cover its identification region in the range of 700–1750 cm-1. The raw data is provided in the spectral matrix along with wavenumber. Transmittance value in each column indicate a specific spectrum. A unique ID is given to all reference spectra. This spectral library was validated by virgin plastic forms based on the characteristic peaks of all three plastic categories
Authors
- Simpal Suman
For the purpose of identifying meso- and macroplastics from various environmental sites, we have developed an Attenuated Total Reflectance-Fourier Transform Infrared spectroscopy (ATR-FTIR)based spectral library of polyethylene (PE), polypropylene (PP), and polyethylene terephthalate (PET). The bulky plastic samples (pre and post-consumer used) were collected from houses, restaurants, and stationary shops in the Vellore district of Tamil Nadu (India). All samples were collected during the day time. The collected items were plastic bottles, covering sheets, food delivery boxes, carry bags, and other various forms. The collection criteria for bulky plastics were based on the before use and after use concepts before entering the environment. There were 63 samples collected, with 21 samples from each polymer). In this study, there was no differentiation made between low-density polyethylene (LDPE) and high-density polyethylene (HDPE). This internal spectral library is constructed in a single CSV file, including wavenumber, transmittance, sample column, colours, sources, and usage nature. We only cover its identification region in the range of 700–1750 cm-1. The raw data is provided in the spectral matrix along with wavenumber. Transmittance value in each column indicate a specific spectrum. A unique ID is given to all reference spectra. This spectral library was validated by virgin plastic forms based on the characteristic peaks of all three plastic categories
Authors
- Simpal Suman