Automated Author Profile

Lijing Wang

0000-0001-8121-5465

Current S-Index

0.5

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.3

Average Dataset Index per dataset

Total Datasets

2

Total datasets for this author

Average FAIR Score

51.9%

Average FAIR Score per dataset

Total Citations

1

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Passive and Active Seismic Data Collected Near Beaver Pond Locations in Storrs, CT; Willington, CT; and Gunnison County, CO in 2025

This data release documents seismic data collected immediately adjacent to beaver ponds and in their surrounding floodplain environments using active and passive seismic measurements at three sites. These sites are located in the University of Connecticut (UConn) Forest in Storrs, Connecticut; Fenton-Ruby Park in Willington, Connecticut; and in Gunnison County, Colorado. Horizontal-to-vertical spectral ratio (HVSR) measurements were acquired using three-component Tromino seismometers (MoHo, S.R.L.) at non-inundated locations during late summer 2025 (51 total HVSR points). Resonance frequencies were identified from Fourier spectra using GRILLA software (MoHo, S.R.L.). Active 1D Multichannel Analysis of Surface Waves (MASW) test data were collected to estimate 1D seismic shear-wave velocity (Vs) structure at the UConn Forest and Fenton-Ruby Park sites using GRILLA (2 total MASW points). We used literature estimates of Vs for the Gunnison County site. We then converted the resonance frequencies to sediment thickness (depth to bedrock) using a range of plausible sediment shear-wave velocities to demonstrate potential uses of the geophysical data. The average inferred bedrock depth for the UConn Forest was 10.6 +/- 0.8 m; Fenton-Ruby Park was 5.3 +/- 0.9 m; and Gunnison County was 18 +/- 1.9 m. The uncertainty of these example calculations is based on how distinct the HVSR resonance frequency response was, as evaluated automatically with GRILLA software.

Authors

  • Annie E Tucker ;
  • Yeonju Kim ;
  • Lijing Wang ;
  • Eric A White ;
  • David M Rey ;
  • Fritz J Jean ;
  • Samuel Pierce ;
  • Martin Briggs
0 Citations0 Mentions58% FAIR0.3 Dataset Index
10.5066/p1lgt6kx2026

Passive seismic depth to bedrock data collected along the Slate River floodplain, CO, USA 2021

Using the horizontal-to-vertical spectral-ratio (HVSR) method, we inferred the depth to bedrock at the Slate River Floodplain, CO, USA. The point-scale passive seismic data were collected using Model TEP-3C Tromino seismometers over 20 min or less intervals with the instruments coupled directly to the floodplain ground surface at 42 non-flooded locations during June 2021. The ratio of horizontal-to-vertical Fourier spectra (HVSR), determined using Grilla software (MOHO, S.R.L.), along with the estimated sediment shear-wave velocity, was used to calculate the depth to the bedrock contact. This passive seismic dataset indicates that the deepest bedrock is 16 m below the surface, while the bedrock reaches the surface at the hillslope. This release contains the inferred bedrock depths based on likely shear wave velocities (Vs) intrinsic to the underlying sediment, ranging from 300 m/s to 400 m/s, listed in the processed_data subdirectory in the file 'SLAC_HVSR_June2021.csv.' The range of possible depth to bedrock interpretations is included for demonstration purposes only.

Authors

  • Martin Briggs ;
  • Lijing Wang
1 Citation0 Mentions46% FAIR0.5 Dataset Index
10.5066/p148a2hx2025