ERDDAP > info > noaaSanctSound_FK01_01_finwhale_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, Fin Whale Sound Producion, Florida Keys, SanctSound_FK01_01_finwhale_1d		I   M	background			NOAA	noaaSanctSound_FK01_01_finwhale_1d

The Dataset's Variables and Attributes

Row Type	Variable Name	Attribute Name	Data Type	Value
attribute	NC_GLOBAL	abstract	String	This record represents fin whale sound production detected from raw passive acoustic data. The Low Frequency Detection and Classification System (LFDCS) call library for fin whale 20-Hz pulses was built for the data sampled at 120 Hz. All fin whale detections with a Mahalanobis distance of 3.0 or less were manually verified for true detections. A logistic regression was applied to these results to facilitate reducing the size of the dataset that ultimately needed to be manually verified for confident species detection. This analysis revealed that a minimum number of 29 detections per time window used (hour or day) need to be detected to ensure that a fin whale was truly detected with a confidence of 90%. All days with at least 29 detections were manually verified for daily presence of fin whale 20-Hz pulses. From days with 29 or more detections, fin whales were considered present for that day if a true detection was found within a regular inter-pulse interval pattern of at least three other 20-Hz pulses. These data were recorded at SanctSound Site FK01_01 between December 18, 2018 and April 19, 2019.
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. Fin Whale Sound Production Recorded at SanctSound Site FK01_01, SanctSound Data Products. NOAA National Centers for Environmental Information. Accessed [date]. DOI: https://doi.org/http://doi.org/10.25921/c3w0-a862
attribute	NC_GLOBAL	comment	String	Data quality: The fixed hydrophone mooring was turned over on December 20th, 2018 and was not returned upright until March 26th, 2019; during this time the hydrophone was in contact with the seafloor. Reductions in sound levels (received levels) in frequencies above 1 kHz were observed from 2018-12-20 20:00:00 until 2019-03-26 14:45:00. Levels may differ from what would be expected if the hydrophone was not moved or impacted by these two events.
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 (24.43313 -81.93068)
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 fin whale 20-Hz pulses was built for the data sampled at 120 Hz. All fin whale detections with a MD of 3.0 or less were manually verified for true detections. A logistic regression was applied to these results to facilitate reducing the size of the dataset that ultimately needed to be manually verified for confident species detection. This analysis revealed that a minimum number of 29 detections per time window used (hour or day) need to be detected to ensure that a fin whale was truly detected with a confidence of 90%. All days with at least 29 detections were manually verified for daily presence of fin whale 20-Hz pulses. From days with 29 or more detections, fin whales were considered present for that day if a true detection was found within a regular inter-pulse interval pattern of at least three other 20-Hz pulses. Data were processed with LFDCS
attribute	NC_GLOBAL	id	String	http://doi.org/10.25921/c3w0-a862
attribute	NC_GLOBAL	infoUrl	String	https://ncei.noaa.gov
attribute	NC_GLOBAL	institution	String	NOAA
attribute	NC_GLOBAL	instrument	String	SoundTrap ST500
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, Fin Whale Sound Producion, Florida Keys, SanctSound_FK01_01_finwhale_1d
dimension	start_time		double	nValues=123, evenlySpaced=true, averageSpacing=86400.0
attribute	start_time	actual_range	double	1.5450912E9, 1.555632E9
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	finwhale_presence		double	start_time
attribute	finwhale_presence	cell_methods	String	time: sum (comment: presence (1) or absence (0) over time interval)
attribute	finwhale_presence	comment	String	Presence of Fin Whale (0 = not present; 1 = present)
attribute	finwhale_presence	ioos_category	String	Statistics
attribute	finwhale_presence	long_name	String	fin whale presence
attribute	finwhale_presence	standard_name	String	finwhale_presence
attribute	finwhale_presence	units	String	boolean
variable	end_time		double	start_time
attribute	end_time	actual_range	double	1.5451776E12, 1.5557184E12
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.