# An Open-Access Database of Active-source and Passive-wavefield DAS and Nodal Station Measurements at the Newberry Florida Site

**Authors:** Aser Abbas, Brady R. Cox, Khiem T. Tran, Isabella Corey, Nishkarsha Dawadi  
**arXiv:** [2305.15578](https://arxiv.org/abs/2305.15578)  
**Date:** 2023-05-24  
**Summary page:** https://www.summarizepaper.com/en/arxiv-id/2305.15578v1/

## Key points

- A subsurface imaging experiment was conducted in Newberry, Florida using stress waves
- The site has significant spatial variability and contains karstic surface and underground voids and anomalies
- Advanced sensing technologies were used, including a dense 2D array of 1920 distributed acoustic sensing (DAS) fiber optic cable channels and a 12 x 12 grid of 144 SmartSolo 3C nodal stations covering an area of 155 m x 75 m
- Both active-source and passive-wavefield data were recorded using the DAS and nodal stations
- Active-source data was generated by a variety of vibrational and impact sources, including a powerful three-dimensional vibroseis shaker truck, a 40-kg propelled energy generator (PEG-40kg), and an 8-lb sledgehammer
- Four hours of ambient noise were recorded using the DAS, while the nodal stations recorded 48 hours of ambient noise in four twelve-hour increments over four days
- The collected waveforms from every active-source shot or passive-wavefield time block were extracted, processed, and stored in H5 files that can be easily visualized using Python scripts incorporated with the open-access dataset
- Supporting metadata documents include field handwritten notes converted to digital format describing the dataset; information on SmartSolo nodal stations such as serial numbers, station names, location codes, and both local and global coordinates; frequency instrument response curves for the vertical and horizontal geophones in the nodal stations; cable information containing DAS channel indices, local and global coordinates for each corner along the fiber optic cable as well as its start and end points; T-Rex source information providing details on all shots; plus impact sources information providing details on all shots.
- The dataset has been archived and made publicly available on DesignSafe for researchers developing techniques for voids detection or anomaly detection using noninvasive stress wave based subsurface imaging techniques
- This unique dataset is expected to be a valuable resource for present or future researchers who need high quality experimental datasets with known or unknown anomaly locations for testing imaging methods as demonstrated by examples provided within this paper.

## Summary

This research paper presents a comprehensive subsurface imaging experiment conducted in Newberry, Florida, using stress waves. The site is known for its significant spatial variability and contains karstic surface and underground voids and anomalies. The experiment utilized advanced sensing technologies, including a dense 2D array of 1920 distributed acoustic sensing (DAS) fiber optic cable channels and a 12 x 12 grid of 144 SmartSolo 3C nodal stations covering an area of 155 m x 75 m. Both active-source and passive-wavefield data were recorded using the DAS and nodal stations. The active-source data was generated by a variety of vibrational and impact sources, including a powerful three-dimensional vibroseis shaker truck, a 40-kg propelled energy generator (PEG-40kg), and an 8-lb sledgehammer. The vibroseis shaker truck was used to vibrate the ground in the three directions at 260 locations inside and outside the instrumented area, while the impact sources were used at 268 locations inside the instrumented area. In addition to active source data, four hours of ambient noise were recorded using the DAS, while the nodal stations recorded 48 hours of ambient noise in four twelve-hour increments over four days. The collected waveforms from every active-source shot or passive-wavefield time block were extracted, processed, and stored in H5 files that can be easily visualized using Python scripts incorporated with the open-access dataset. The three-component data gathered from each SmartSolo nodal station were consolidated into a single miniSEED file. All necessary information has been systematically organized into three parent folders - raw data, processed data, and supporting documents - with consistent naming conventions employed for all files and folders. Supporting metadata documents include field handwritten notes converted to digital format describing the dataset; information on SmartSolo nodal stations such as serial numbers, station names, location codes, and both local and global coordinates; frequency instrument response curves for the vertical and horizontal geophones in the nodal stations; cable information containing DAS channel indices, local and global coordinates for each corner along the fiber optic cable as well as its start and end points; T-Rex source information providing details on all shots; plus impact sources information providing details on all shots. The dataset has been archived and made publicly available on DesignSafe for researchers developing techniques for voids detection or anomaly detection using noninvasive stress wave based subsurface imaging techniques. This unique dataset is expected to be a valuable resource for present or future researchers who need high quality experimental datasets with known or unknown anomaly locations for testing imaging methods as demonstrated by examples provided within this paper.