Automated Author ProfileStengel, Victoria
Stengel, Victoria
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: 0.5 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Dispersion of dust depends on many complex factors related to the nature of the disturbed materials, climate, dust control measures, and localized weather patterns. This dataset presents wind speed and rainfall as climate factors that influence dust dispersion. These two basic factors were identified as a subset of the many factors that can lead to dust dispersion. Arpacioglu and Er (2003) reviewed historical data from selected mine sites and suggested that days when the windspeed was at least 5.4 meters per second (m/s) at 10 meters above land surface and rainfall was less than 0.25 centimeter (cm) might lead to greater dust dispersion. Existing publicly available precipitation and wind speed data from NASA's North American Land Data Assimilation System Phase 2 (NLDAS-2), reflecting climatic conditions over a 10-year period in the United States, were used to assess the number of days between 2007 and 2016 that meet these criteria. The resulting dust dispersion index data sets are intended to indicate areas that exhibit criteria that are most likely to disperse dust particulates and fugitive dusts from disturbed mine and mill sites. Reference: Arpacioglu, C. B., and Er, C., 2003, Estimation of Fugitive Dust Impacts of Open Pit Mines on Local Air Quality-A case study, Bellavista Gold Mine, Costa Rica: 18th International Mining Congress and Exhibition of Turkey-IMCET 2003, Turkey, IMCET.
Authors
- Stengel, Victoria ;
- Humberson, Delbert ;
- Gallegos, Tanya J.