Automated Author ProfileTomaszewski, Brian
Tomaszewski, Brian
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: 1.1 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The aim of this research was to develop methods to identify potential sites for anaerobic digestation facilities that source wasted food from commercial generators and manure from dairy farms in Western New York State. The specific methodology is described in the associated publication. We first identified theoretically potential sites for new facilities using an exclusionary process. We estimated availability of wasted food and manure within a given radius of each potential site, using phosphorus equivalents. We then assessed the potential phosphorus demand of cropland within a given transportation radius from the site in order to evaluate the acceptance capacity for residual digestate. The balance between acceptance capacity and digestate availability was evaluated in order to identify locations with excess fertilization potential. We used Esri ArcMap 10.6 to complete the environmental assessment using the projected coordinate system UTM Zone 18N with a raster grid of 30 m x 30 m cells.
Authors
- Tyler, Christy ;
- Babbitt, Callie ;
- Armington, William ;
- Shrestha, Shradha ;
- Tomaszewski, Brian
The aim of this research was to develop methods to identify potential sites for anaerobic digestation facilities that source wasted food from commercial generators and manure from dairy farms in Western New York State. The specific methodology is described in the associated publication. We first identified theoretically potential sites for new facilities using an exclusionary process. We estimated availability of wasted food and manure within a given radius of each potential site, using phosphorus equivalents. We then assessed the potential phosphorus demand of cropland within a given transportation radius from the site in order to evaluate the acceptance capacity for residual digestate. The balance between acceptance capacity and digestate availability was evaluated in order to identify locations with excess fertilization potential. We used Esri ArcMap 10.6 to complete the environmental assessment using the projected coordinate system UTM Zone 18N with a raster grid of 30 m x 30 m cells.
Authors
- Tyler, Christy ;
- Babbitt, Callie ;
- Armington, William ;
- Shrestha, Shradha ;
- Tomaszewski, Brian
This research data supports the GIC Profile results for the manuscript, Developing a Geographic Information Capacity (GIC) Profile for Disaster Management under United Nations Framework Commitments.
Authors
- Tomaszewski, Brian
This research data supports the GIC Profile results for the manuscript, Developing a Geographic Information Capacity (GIC) Profile for Disaster Management under United Nations Framework Commitments.
Authors
- Tomaszewski, Brian