Automated Organization ProfileU.S. Geological Survey, Cascades Volcano Observatory, Vancouver, Washington, USA
U.S. Geological Survey, Cascades Volcano Observatory, Vancouver, Washington, USA
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization'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: 2.9 (sum of 5 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Supplementary tables and MATLAB scripts associated with the manuscript "New insights into the relationship between mass eruption rate and volcanic column height based on the IVESPA dataset".
Authors
- Aubry, Thomas J. ;
- Engwell, Samantha L. ;
- Bonadonna, Costanza ;
- Mastin, Larry G. ;
- Carazzo, Guillaume ;
- Van Eaton, Alexa R. ;
- Jessop, David E. ;
- Grainger, Roy G. ;
- Scollo, Simona ;
- Taylor, Isabelle A. ;
- Jellinek, A. Mark ;
- Schmidt, Anja ;
- Biass, Sébastien ;
- Gouhier, Mathieu
Supplementary tables and MATLAB scripts associated with the manuscript "New insights into the relationship between mass eruption rate and volcanic column height based on the IVESPA dataset".
Authors
- Aubry, Thomas J. ;
- Engwell, Samantha L. ;
- Bonadonna, Costanza ;
- Mastin, Larry G. ;
- Carazzo, Guillaume ;
- Van Eaton, Alexa R. ;
- Jessop, David E. ;
- Grainger, Roy G. ;
- Scollo, Simona ;
- Taylor, Isabelle A. ;
- Jellinek, A. Mark ;
- Schmidt, Anja ;
- Biass, Sébastien ;
- Gouhier, Mathieu
Supplementary tables and MATLAB scripts associated with the manuscript "New insights into the relationship between mass eruption rate and volcanic column height based on the IVESPA dataset".
Authors
- Aubry, Thomas J. ;
- Engwell, Samantha L. ;
- Bonadonna, Costanza ;
- Mastin, Larry G. ;
- Carazzo, Guillaume ;
- Van Eaton, Alexa R. ;
- Jessop, David E. ;
- Grainger, Roy G. ;
- Scollo, Simona ;
- Taylor, Isabelle A. ;
- Jellinek, A. Mark ;
- Schmidt, Anja ;
- Biass, Sébastien ;
- Gouhier, Mathieu
This dataset contains lightning and volcanic plume data for the eruption of Hunga Volcano in Tonga from 13–15 January 2022. The dataset consists of two files. The first is a spreadsheet containing four tabs: (1) Ground-based flashes, which include lightning flashes from combined ground-based networks from 13–15 January 2022; (2) Ground-based rates, which include flash rates and pulse rates in one-minute bins from 13–15 January 2022 using the combined networks; (3) Optical GLM flashes & rates, which include GLM flashes and per-minute rates from 15 January 2022; and (4) Volcanic plume dimensions, which include maximum plume heights and umbrella radii through time on 15 January 2022. The second file is a Google Earth KMZ file of umbrella cloud areas outlined from stereoscopic cloud height retrievals from 04:17–07:07 UTC on 15 January 2022. Refer to journal article "Lightning rings and gravity waves: Insights into the giant eruption plume from Tonga’s Hunga Volcano on 15 January 2022" published in Geophysical Research Letters for further details about data processing.
Authors
- Van Eaton, Alexa ;
- Behnke, Sonja ;
- Lapierre, Jeff ;
- Vagasky, Chris ;
- Schultz, Christopher ;
- Pavolonis, Michael ;
- Bedka, Kristopher ;
- Khlopenkov, Konstantin
This dataset contains lightning and volcanic plume data for the eruption of Hunga Volcano in Tonga from 13–15 January 2022. The dataset consists of two files. The first is a spreadsheet containing four tabs: (1) Ground-based flashes, which include lightning flashes from combined ground-based networks from 13–15 January 2022; (2) Ground-based rates, which include flash rates and pulse rates in one-minute bins from 13–15 January 2022 using the combined networks; (3) Optical GLM flashes & rates, which include GLM flashes and per-minute rates from 15 January 2022; and (4) Volcanic plume dimensions, which include maximum plume heights and umbrella radii through time on 15 January 2022. The second file is a Google Earth KMZ file of umbrella cloud areas outlined from stereoscopic cloud height retrievals from 04:17–07:07 UTC on 15 January 2022. Refer to journal article "Lightning rings and gravity waves: Insights into the giant eruption plume from Tonga’s Hunga Volcano on 15 January 2022" published in Geophysical Research Letters for further details about data processing.
Authors
- Van Eaton, Alexa ;
- Behnke, Sonja ;
- Lapierre, Jeff ;
- Vagasky, Chris ;
- Schultz, Christopher ;
- Pavolonis, Michael ;
- Bedka, Kristopher ;
- Khlopenkov, Konstantin