NOAA-Navy Sanctuary Soundscape Monitoring Project, Humpback Whale Sound Production, Channel Islands, SanctSound_CI02_04_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 CI02_04 between February 05, 2020 and June 04, 2020.
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 CI02_04, SanctSound Data Products. NOAA National Centers for Environmental Information. Accessed [date]. DOI: https://doi.org/http://doi.org/10.25921/vnsq-1029
comment=Data quality: Quality data were recorded for the duration of the deployment.
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 (34.08532 -120.523)
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/vnsq-1029
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）与美国海军联合致力于深入研究美国国家海洋保护区系统内的水下声音。自2018年至2021年，这些机构将携手众多科学合作伙伴，对七个国家级海洋保护区及一个海洋国家纪念碑（包括夏威夷岛及美国东西海岸附近海域）内的声音进行研究。标准化的测量将评估海洋动物、物理过程（例如风浪）以及人类活动产生的声音。这些信息汇总后，将有助于NOAA和海军测量保护区内的声音水平和声学基础条件。此项研究是美国海军和NOAA持续研究的延续，包括美国国家海洋保护区办公室的各项工作。该数据集代表了NOAA国家环境信息中心存档的原始声学数据的衍生产品。