ERDDAP > info > noaaSanctSound_SB01_07_bluewhale_1d

Grid DAP Data	Sub- set	Table DAP Data	Make A Graph	W M S	Source Data Files	Acces- sible	Title	Sum- mary	FGDC, ISO, Metadata	Back- ground Info	RSS	E mail	Institution	Dataset ID
data			graph		files	public	NOAA-Navy Sanctuary Soundscape Monitoring Project, Blue Whale Sound Production, Stellwagen Bank, SanctSound_SB01_07_bluewhale_1d		I   M	background			NOAA	noaaSanctSound_SB01_07_bluewhale_1d

The Dataset's Variables and Attributes

Row Type	Variable Name	Attribute Name	Data Type	Value
attribute	NC_GLOBAL	abstract	String	This record represents blue whale sound production detected from raw passive acoustic data. The Low Frequency Detection and Classification System (LFDCS) call library for blue whales was built for the data sampled at 120 Hz, and created for A, B, and AB phrases. All detections with a Mahalanobis distance of 5.0 or less were manually screened. Daily presence for blue whales was confirmed if there were three song phrases visible, including at least one true detection. Only accepting detections when three or more phrases occurred ensured our confidence in blue whale song presence. These data were recorded at SanctSound Site SB01_07 between December 06, 2019 and January 31, 2020.
attribute	NC_GLOBAL	acknowledgement	String	This project received funding from the U.S. Navy.
attribute	NC_GLOBAL	cdm_data_type	String	TimeSeries
attribute	NC_GLOBAL	citation	String	Cite as: NOAA Office of National Marine Sanctuaries and U.S Navy. 2021. Blue Whale Sound Production Recorded at SanctSound Site SB01_07, SanctSound Data Products. NOAA National Centers for Environmental Information. Accessed [date]. DOI: https://doi.org/http://doi.org/10.25921/keyg-7g14
attribute	NC_GLOBAL	comment	String	Data quality: Quality data were recorded for the duration of the deployment.
attribute	NC_GLOBAL	contributor_name	String	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
attribute	NC_GLOBAL	contributor_role	String	Principal Investigator
attribute	NC_GLOBAL	Conventions	String	COARDS, CF-1.6, ACDD-1.3
attribute	NC_GLOBAL	creator_email	String	ncei.info at noaa.gov
attribute	NC_GLOBAL	creator_name	String	NOAA NCEI
attribute	NC_GLOBAL	creator_url	String	https://www.ncei.noaa.gov/
attribute	NC_GLOBAL	date_created	String	2022-08-22
attribute	NC_GLOBAL	date_issued	String	2022-08-22
attribute	NC_GLOBAL	featureType	String	TimeSeries
attribute	NC_GLOBAL	geospatial_bounds	String	POINT (42.4369383 -70.54587)
attribute	NC_GLOBAL	history	String	All acoustic data were processed using the Low Frequency Detection and Classification System (LFDCS; Baumgartner and Mussoline, 2011), which creates conditioned spectrograms using a short-time Fourier transform with a data frame of 512 samples and 75% overlap (80% overlap for the 120 Hz decimated data (blue and fin whales)), resulting in a time step of 64 ms and frequency resolution of 3.9 Hz (for 120 Hz data: 853 ms time step and 0.23 Hz frequency resolution). After tracing contour lines, or “pitch tracks”, through tonal sounds, the program uses multivariate discriminant function analysis to classify the pitch tracks into species-specific call types based on a call library. Each detection is assigned a Mahalanobis distance (MD), which measures the deviation of a sound’s pitch track from the assigned call type (see Baumgartner and Mussoline (2011) for a more complete description). A lower MD indicates a closer match to the assigned call type. For a well-developed call type in the LFDCS (i.e., the seven attributes used in the discriminant function analysis are multivariate normal), 75% of pitch-tracks for the call type will have a MD of 3.0 or less (Baumgartner et al., 2013). Setting a MD threshold is necessary to minimize the false detection rates, but in doing so causes some true detections to be missed in the analysis. The MD threshold of 3.0 was chosen for all vocalizations detected and classified in the humpback, sei, and fin whale call library. However, for blue whales, false detection rates were lower than any of the other species, thus a MD of 5.0 was chosen to decrease the probability of missing true detections. All LFDCS detections were manually reviewed by trained acoustic analysts to determine daily presence of each of the four baleen whale species. A true detection was defined as a pitch track that correctly classified a call or song unit to the species that produced it (Bonnell et al., 2016). Given the variability of each species' call type, the specific methodology to determine daily acoustic presence was different for each species. The LFDCS call library for blue whales was built for the data sampled at 120 Hz, and created for A, B, and AB phrases (as described by Mellinger and Clark (2003); Figure 2d). All detections with a MD of 5.0 or less were manually screened. Daily presence for blue whales was confirmed if there were three song phrases visible, including at least one true detection. Only accepting detections when three or more phrases occurred ensured our confidence in blue whale song presence. Data were processed with LFDCS
attribute	NC_GLOBAL	id	String	http://doi.org/10.25921/keyg-7g14
attribute	NC_GLOBAL	infoUrl	String	https://ncei.noaa.gov
attribute	NC_GLOBAL	institution	String	NOAA
attribute	NC_GLOBAL	instrument	String	SoundTrap ST300
attribute	NC_GLOBAL	keywords	String	acoustic attenuation/transmission, acoustics, ambient noise, aquatic ecosystems, cetacean, environmental, fish, frequency, intensity, marine environment monitoring, marine habitat, national centers for environmental information, Navy, NOAA, ocean acoustics, oceans, office of national marine sanctuaries, passive acoustic recorder, pressure, sound_intensity_level_in_water, soundscapes
attribute	NC_GLOBAL	keywords_vocabulary	String	GCMD Science Keywords
attribute	NC_GLOBAL	license	String	The data may be used and redistributed for free but are not intended for legal use, since it may contain inaccuracies. Neither the data creator, NOAA, nor the United States Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, of this information.
attribute	NC_GLOBAL	naming_authority	String	NOAA-Navy
attribute	NC_GLOBAL	project	String	NOAA-Navy Sanctuary Soundscape Monitoring Project
attribute	NC_GLOBAL	publisher_email	String	erd.data at noaa.gov
attribute	NC_GLOBAL	publisher_name	String	NOAA NMFS SWFSC ERD
attribute	NC_GLOBAL	publisher_type	String	institution
attribute	NC_GLOBAL	publisher_url	String	https://www.pfeg.noaa.gov
attribute	NC_GLOBAL	sourceUrl	String	(local files)
attribute	NC_GLOBAL	standard_name_vocabulary	String	CF Standard Name Table v55
attribute	NC_GLOBAL	summary	String	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.
attribute	NC_GLOBAL	title	String	NOAA-Navy Sanctuary Soundscape Monitoring Project, Blue Whale Sound Production, Stellwagen Bank, SanctSound_SB01_07_bluewhale_1d
dimension	start_time		double	nValues=57, evenlySpaced=true, averageSpacing=86400.0
attribute	start_time	actual_range	double	1.5755904E9, 1.5804288E9
attribute	start_time	axis	String	T
attribute	start_time	comment	String	Start time of detections. Corresponding end time for detection in end_time_var at same index value as start_time_var.
attribute	start_time	ioos_category	String	Time
attribute	start_time	long_name	String	Start Time
attribute	start_time	standard_name	String	time
attribute	start_time	time_origin	String	01-JAN-1970 00:00:00
attribute	start_time	time_precision	String	1970-01-01T00:00:00.000Z
attribute	start_time	units	String	seconds since 1970-01-01T00:00:00Z
variable	bluewhale_presence		double	start_time
attribute	bluewhale_presence	cell_methods	String	time: sum (comment: presence (1) or absence (0) over time interval)
attribute	bluewhale_presence	comment	String	Presence of Blue Whale (0 = not present; 1 = present)
attribute	bluewhale_presence	ioos_category	String	Statistics
attribute	bluewhale_presence	long_name	String	blue whale presence
attribute	bluewhale_presence	standard_name	String	bluewhale_presence
attribute	bluewhale_presence	units	String	boolean
variable	end_time		double	start_time
attribute	end_time	actual_range	double	1.5756768E12, 1.5805152E12
attribute	end_time	axis	String	T
attribute	end_time	comment	String	End time of detections. Corresponding start time for detection in start_time_var at same index value as end_time_var.
attribute	end_time	ioos_category	String	Time
attribute	end_time	long_name	String	End Time
attribute	end_time	standard_name	String	end_time
attribute	end_time	time_origin	String	01-JAN-1970 00:00:00
attribute	end_time	units	String	seconds since 1970-01-01T00:00:00Z

The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.