NOAA-Navy Sanctuary Soundscape Monitoring Project, Bocaccio Sound Production, Channel Islands, SanctSound_CI01_03_bocaccio

NOAA and the U.S. Navy are working to better understand underwater sound within the U.S. National Marine Sanctuary System. From 2018 to 2021, these agencies will work with numerous scientific partners to study sound within seven national marine sanctuaries and one marine national monument, which includes waters off Hawai'i and the east and west coasts. Standardized measurements will assess sounds produced by marine animals, physical processes (e.g., wind and waves), and human activities. Collectively, this information will help NOAA and the Navy measure sound levels and baseline acoustic conditions in sanctuaries. This work is a continuation of ongoing Navy and NOAA research, including efforts by NOAA's Office of National Marine Sanctuaries This dataset represents the derived products from the raw acoustic data that are archived at NOAA National Centers for Environmental Information.
abstract=This record represents bocaccio calls detection from raw passive acoustic data. Calls were detected automatically using Triton's Fish Detector. Recordings were first decimated to a sample rate of 2 kHz. The fish detector filtered the time series between 100 and 950 Hz, and computed cross-correlation between the envelope of a filtered example call and 75s of the envelope of the filtered time series. To detect signals within varying background noise, we used a floating threshold of the median cross correlation value over the current 75 s of data, with a threshold offset of 2e-9 above the median. Detections were evaluated if they reached above this threshold. Consecutive calls were required to have a minimum time gap of 0.5 s to be detected separately. RMS received level was computed over the potential detection period and a time series of the length of the bocaccio call template before and after the detection. Detections were considered false and discarded if the signal-to-noise ratio between the detection period and the timeseries before and after the detection was less than 0.01. The threshold was evaluated based on the distribution of histograms of manually verified true and false detections. A trained analyst verified the detections as true or false.These data were recorded at SanctSound Site CI01_03 between August 14, 2019 and October 08, 2019.
acknowledgement=This project received funding from the U.S. Navy.
cdm_data_type=TimeSeries
citation=Cite as: NOAA Office of National Marine Sanctuaries and U.S Navy. 2021. Bocaccio Sound Production Recorded at SanctSoundSite CI01_03, SanctSound Data Products. NOAA National Centers for Environmental Information. Accessed [date]. DOI: https://doi.org/http://doi.org/10.25921/22az-4p89
comment=Data quality: Hydrophone sensitivity drifted starting 05-Sep-2019 resulting in gradually decreasing received levels
contributor_name=Simone Baumann-Pickering, Scripps Institution of Oceanography; Leila Hatch, NOAA Stellwagen Bank National Marine Sanctuary; John Joseph, U.S. Naval Postgraduate School; Anke Kuegler, Hawai'i Institute of Marine Biology, University of Hawai'i at Manoa; Marc Lammers, NOAA Hawaiian Islands Humpback Whale National Marine Sanctuary; Tetyana Margolina, U.S. Naval Postgraduate School; Karlina Merkens, NOAA Pacific Islands Fisheries Science Center; Lindsey Peavey Reeves, NOAA Channel Islands National Marine Sanctuary; Timothy Rowell, NOAA Northeast Fisheries Science Center; Jenni Stanley, Woods Hole Oceanographic Institution; Alison Stimpert, Moss Landing Marine Laboratories; Sofie Van Parijs, NOAA Northeast Fisheries Science Center; Eden Zang,NOAA Hawaiian Islands Humpback Whale National Marine Sanctuary
contributor_role=Principal Investigator
Conventions=COARDS, CF-1.6, ACDD-1.3
featureType=TimeSeries
geospatial_bounds=POINT (34.04383 -120.081)
history=Bocaccio calls were detected automatically using the Fish Detector in Triton version 1.93 (Scripps Whale Acoustics Lab, San Diego, CA). Recordings were decimated to a sample rate of 2,000 Hz before running through the detector. The fish detector first filtered the time series between 100 and 950 Hz (10th order Butterworth filter). Then, it computed cross-correlation between the envelope of a filtered example call (3 s, Hann windowed) and 75s of the envelope of the filtered time series (i.e., Hilbert transform low pass filter). To enhance peaks in the signal, the cross correlation was squared. To account for detecting signals within background noise, we used a floating threshold of the median cross correlation value over the current 75 s of data, with a threshold offset of 2e-9 above the median. Detections were evaluated if they reached above this threshold. Consecutive calls were required to have a minimum time gap of 0.5 s to be detected separately. RMS received level was computed over the potential detection period and a time series of the length of the bocaccio call template before and after the detection. Detections were considered false and discarded if the signal-to-noise ratio between the detection period and the timeseries before and after the detection was less than 0.01. The threshold was evaluated based on the distribution of histograms of manually verified true and false detections. After running the detector, a trained analyst verified the detections as true or false. Data were processed with Triton - (1.93.20160524/Github version d81e5fa) and Matlab (2016b and newer; statistics toolbox).
id=http://doi.org/10.25921/22az-4p89
infoUrl=https://ncei.noaa.gov
institution=NOAA
instrument=SoundTrap ST500
keywords_vocabulary=GCMD Science Keywords
naming_authority=NOAA-Navy
project=NOAA-Navy Sanctuary Soundscape Monitoring Project
sourceUrl=(local files)
standard_name_vocabulary=CF Standard Name Table v55

美国国家海洋和大气管理局（NOAA）与美国海军合作，旨在更深入地理解美国国家海洋保护区系统内的水下声音。自2018年至2021年，这些机构将与众多科学合作伙伴携手研究七个国家海洋保护区和一个海洋国家纪念区内的声音，包括夏威夷群岛及东西海岸海域。通过标准化的测量，评估海洋动物、物理过程（例如风和波浪）以及人类活动产生的声音。这些信息的综合将有助于NOAA和海军测量保护区内的声音水平和声学基线条件。此项工作是对海军和NOAA持续研究工作的延续，包括NOAA国家海洋保护区办公室的努力。该数据集代表了存储在NOAA国家环境信息中心的原声数据派生产品。