NOAA-Navy Sanctuary Soundscape Monitoring Project, Humpback Whale Sound Production, Channel Islands, SanctSound_CI04_01_humpbackwhale_1d

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 manual detection of humpback whale sounds. Humpback presence was determined by manually scanning long-term spectral averages (LTSAs) in the Triton MATLAB software package. Acoustic files were decimated to a sample rate of 4 kHz before generating 5 s, 1 Hz LTSAs. The LTSA was scanned by a trained analyst in hourly bins for visual evidence of song and non-song humpback vocalizations. Detections were aurally confirmed. These data were recorded at SanctSound Site CI04_01 between November 01, 2018 and December 31, 2018.
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. 2022. Humpback Whale Sound Production Recorded at SanctSound Site CI04_01, SanctSound Data Products. NOAA National Centers for Environmental Information. Accessed [date]. DOI: https://doi.org/http://doi.org/10.25921/gq2s-4498
comment=Data quality: Data quality is compromised for frequencies less than 100 Hz from 2018-11-28 to 2018-12-30. Recorded received level gradually decreases after 2018-11-28 for frequencies below 100 Hz. This drift is caused by changes in hydrophone sensitivity.
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 (33.849 -120.118)
history=Humpback presence was determined by manually scanning long-term spectral averages (LTSAs) in the Triton MATLAB software package. Acoustic files were decimated to a sample rate of 4 kHz before generating high-resolution LTSAs, averaged over 5 seconds in 1 Hz bins. The LTSA was scanned by a trained analyst in hourly bins for visual evidence of humpback vocalizations, including both song and non-song vocalizations. Detections were aurally confirmed to be humpbacks before logging a positive detection in the Triton Logger Remora. LTSA display settings: Window type = Hanning, NFFT = 4,000, Brightness = 30, Contrast = 100, Plot length = 1 hr, Plot frequency = 0-2,000 Hz. Window display settings: NFFT = 1,000, Overlap = 90%, Brightness = 30, Contrast = 100, Plot length = 60 seconds, Plot frequency = 0-2,000 Hz Data were processed with Triton - (1.93.20160524/Github version d81e5fa) and Matlab (2020b).
id=http://doi.org/10.25921/gq2s-4498
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

美国国家海洋与大气管理局（NOAA）与美国海军携手致力于深入解析美国国家海洋保护区系统内的水下声波。自2018年至2021年，这些机构将联合众多科研合作伙伴，对七个国家级海洋保护区以及一个海洋国家纪念地的声波进行研究，这些地区包括夏威夷群岛以及东海岸和西海岸附近海域。标准化测量将评估海洋动物、物理过程（如风浪）以及人类活动产生的声波。这些信息的综合分析将有助于NOAA和海军对保护区内的声级和声学基准条件进行测量。此项工作是对NOAA和国家海洋保护区办公室以及海军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。该数据集代表了存档于NOAA国家环境信息中心原始声学数据的派生产品。