@article {douglass_distributed_2023,
	title = {Distributed acoustic sensing for detecting near surface hydroacoustic signals},
	journal = {JASA Express Letters},
	volume = {3},
	number = {6},
	year = {2023},
	month = {jun},
	pages = {066005},
	abstract = {Distributed acoustic sensing (DAS) is a technology that turns a fiber-optic cable into an acoustic sensor by measuring the phase change of backscattered light caused by changes in strain from an acoustic field. In October 2022, 9 days of DAS and co-located hydrophone data were collected in the Puget Sound near Seattle, WA. Passive data were continuously recorded for the duration and a broadband source was fired from several locations and depths on the first and last days. This dataset provides comparisons between DAS and hydrophone measurements and demonstrates the ability of DAS to measure acoustics signals up to \~{}700 Hz.},
	issn = {2691-1191},
	doi = {10.1121/10.0019703},
	url = {https://doi.org/10.1121/10.0019703},
	author = {Douglass, Alexander S. and Abadi, Shima and Lipovsky, Bradley P.}
}
@article {275,
	title = {Long-term noise interferometry analysis in the northeast Pacific Ocean},
	journal = {The Journal of the Acoustical Society of America},
	volume = {151},
	year = {2022},
	month = {2022/01//},
	pages = {194 - 204},
	abstract = {Long-term noise interferometry analysis is conducted over six years of data using two hydrophones on the Ocean Observatories Initiative Cabled Array. The two hydrophones are separated by 3.2 km and are bottom-mounted at 1500 m. We demonstrate the ability of ambient noise interferometry to reliably detect multi-path arrivals in the deep ocean from bottom-mounted hydrophones. An analysis of the multi-path arrival peak emergence is presented, as well as long-term trends of the signal-to-noise ratio of the arrival peaks. Last, we show that long-term ambient noise interferometry provides the opportunity for monitoring directional, coherent ambient sound such as the fin whale chorus.},
	isbn = {0001-4966},
	doi = {10.1121/10.0009232},
	url = {https://asa.scitation.org/doi/full/10.1121/10.0009232},
	author = {Ragland, John and Abadi, Shima and Sabra, Karim}
}
@article {278,
	title = {An overview of ambient sound using Ocean Observatories Initiative hydrophones},
	journal = {The Journal of the Acoustical Society of America},
	volume = {151},
	year = {2022},
	month = {2022/03//},
	pages = {2085 - 2100},
	abstract = {The Ocean Observatories Initiative (OOI) sensor network provides a unique opportunity to study ambient sound in the north-east Pacific Ocean. The OOI sensor network has five low frequency (Fs = 200 Hz) and six broadband (Fs = 64 kHz) hydrophones that have been recording ambient sound since 2015. In this paper, we analyze acoustic data from 2015 to 2020 to identify prominent features that are present in the OOI acoustic dataset. Notable features in the acoustic dataset that are highlighted in this paper include volcanic and seismic activity, rain and wind noise, marine mammal vocalizations, and anthropogenic sound, such as shipping noise. For all low frequency hydrophones and four of the six broadband hydrophones, we will present long-term spectrograms, median time-series trends for different spectral bands, and different statistical metrics about the acoustic environment. We find that 6-yr acoustic trends vary, depending on the location of the hydrophone and the spectral band that is observed. Over the course of six years, increases in spectral levels are seen in some locations and spectral bands, while decreases are seen in other locations and spectral bands. Last, we discuss future areas of research to which the OOI dataset lends itself.},
	isbn = {0001-4966},
	doi = {10.1121/10.0009836},
	url = {https://asa.scitation.org/doi/full/10.1121/10.0009836},
	author = {Ragland, John and Schwock, Felix and Munson, Matthew and Abadi, Shima}
}
