NOAA-Navy Sanctuary Soundscape Monitoring Project, Humpback Whale Sound Production, Channel Islands, SanctSound_CI01_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 CI01_04 between January 24, 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 CI01_04, SanctSound Data Products. NOAA National Centers for Environmental Information. Accessed [date]. DOI: https://doi.org/http://doi.org/10.25921/e64r-df56
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 (34.04363 -120.08073)
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/e64r-df56
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

{'abstract': '国家海洋和大气管理局（NOAA）及美国海军携手致力于深入探究美国国家海洋保护区系统内的水下声学现象。自2018年至2021年，这些机构将与众多科研伙伴协作，研究包括夏威夷以及东西海岸在内的七个国家海洋保护区和一个海洋国家纪念区的声学环境。标准化测量将评估海洋生物、物理过程（如风浪）以及人类活动产生的声音。该信息集将为NOAA和海军在保护区测量声音水平和基线声学条件提供支持。此项研究是国家海洋和大气管理局海洋保护区办公室以及美国海军持续研究的延续，包括NOAA海洋保护区办公室的努力。本数据集代表了存档于NOAA国家环境信息中心的原声学数据的派生产品。', 'acknowledgement': '本项研究获得美国海军的资助。', 'cdm_data_type': '时间序列数据', 'citation': '引用格式：NOAA国家海洋保护区办公室和美国海军。2022年。在SanctSound站点CI01_04记录的座头鲸声音生产，SanctSound数据产品。NOAA国家环境信息中心。访问日期。[日期]。DOI：https://doi.org/http://doi.org/10.25921/e64r-df56', 'comment': '数据质量：部署期间记录了高质量数据。', 'contributor_name': 'Simone Baumann-Pickering，斯克里普斯海洋研究所；Leila Hatch，NOAA Stellwagen Bank国家海洋保护区；John Joseph，美国海军研究生院；Anke Kuegler，夏威夷大学海洋生物研究所；Marc Lammers，NOAA夏威夷群岛座头鲸国家海洋保护区；Tetyana Margolina，美国海军研究生院；Karlina Merkens，NOAA太平洋岛屿渔业科学中心；Lindsey Peavey Reeves，NOAA海峡群岛国家海洋保护区；Timothy Rowell，NOAA东北渔业科学中心；Jenni Stanley，伍兹霍尔海洋研究所；Alison Stimpert，莫斯兰汀海洋实验室；Sofie Van Parijs，NOAA东北渔业科学中心；Eden Zang，NOAA夏威夷群岛座头鲸国家海洋保护区', 'contributor_role': '主要研究员', 'Conventions': 'COARDS, CF-1.6, ACDD-1.3', 'featureType': '时间序列', 'geospatial_bounds': '点(34.04363 -120.08073)', 'history': '座头鲸的存在通过在Triton MATLAB软件包中手动扫描长期光谱平均值（LTSAs）来确定。在生成平均时间为5秒，频率分辨率为1 Hz的LTSAs之前，声学文件被降采样至4 kHz的采样率。经过训练的分析员在每小时的时间段内扫描LTSAs，以寻找歌曲和非歌曲座头鲸发声的视觉证据。检测到发声后，通过听觉确认确认为座头鲸，并在Triton Logger Remora中记录阳性检测。LTSAs显示设置：窗口类型=汉宁，NFFT=4,000，亮度=30，对比度=100，绘图长度=1小时，绘图频率=0-2,000 Hz。窗口显示设置：NFFT=1,000，重叠=90%，亮度=30，对比度=100，绘图长度=60秒，绘图频率=0-2,000 Hz。数据使用Triton - (1.93.20160524/Github版本d81e5fa)和Matlab (2020b)进行处理。', 'id': 'http://doi.org/10.25921/e64r-df56', 'infoUrl': 'https://ncei.noaa.gov', 'institution': 'NOAA', 'instrument': 'SoundTrap ST500', 'keywords_vocabulary': 'GCMD科学关键词', 'naming_authority': 'NOAA-Navy', 'project': 'NOAA-Navy保护区声音景观监测项目', 'sourceUrl': '(本地文件)', 'standard_name_vocabulary': 'CF标准名称表v55'}