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 data       graph     files  public NOAA-Navy Sanctuary Soundscape Monitoring Project, Sei Whale Sound Production, Florida Keys,
SanctSound_FK03_01_seiwhale_1d
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The Dataset's Variables and Attributes

Row Type Variable Name Attribute Name Data Type Value
attribute NC_GLOBAL abstract String This record represents sei whale sound production detected from raw passive acoustic data. The Low Frequency Detection and Classification System (LFDCS) call library contains the 82 – 34 Hz sei whale downsweeps, which was the call type we focused on in this study. All sei whale downsweep detections with a Mahalanobis distance of 3.0 or less were manually screened for the daily presence of a doublet or triplet. Doublets and triplets were defined as 2 or 3 repeated downsweeps, respectively, with roughly 3.5 seconds elapsed between the start of successive calls. Sei whales were considered present if a true detection (at least one downsweep detected within a doublet or triplet) was found for that day. Only the occurrence of the downsweeps as doublet or triplets were selected to ensure confidence in species identification. These data were recorded at SanctSound Site FK03_01 between December 18, 2018 and April 24, 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. Sei Whale Sound Production Recorded at SanctSound Site FK03_01, SanctSound Data Products. NOAA National Centers for Environmental Information. Accessed [date]. DOI: https://doi.org/http://doi.org/10.25921/hxre-sh38
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/ (external link)
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 (24.45895 -81.774133)
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 contains the 82 – 34 Hz sei whale downsweeps, which was the call type we focused on in this study. All sei whale downsweep detections with a MD of 3.0 or less were manually screened for the daily presence of a doublet or triplet. Doublets and triplets were defined as 2 or 3 repeated downsweeps, respectively, with roughly 3.5 seconds elapsed between the start of successive calls. Sei whales were considered present if a true detection (at least one downsweep detected within a doublet or triplet) was found for that day. Only the occurrence of the downsweeps as doublet or triplets were selected to ensure confidence in species identification. Data were processed with LFDCS
attribute NC_GLOBAL id String http://doi.org/10.25921/hxre-sh38 (external link)
attribute NC_GLOBAL infoUrl String https://ncei.noaa.gov (external link)
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 (external link)
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, Sei Whale Sound Production, Florida Keys, SanctSound_FK03_01_seiwhale_1d
dimension start_time   double nValues=128, evenlySpaced=true, averageSpacing=86400.0
attribute start_time actual_range double 1.5450912E9, 1.556064E9
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 seiwhale_presence   double start_time
attribute seiwhale_presence cell_methods String time: sum (comment: presence (1) or absence (0) over time interval)
attribute seiwhale_presence comment String Presence of Sei Whale (0 = not present; 1 = present)
attribute seiwhale_presence ioos_category String Statistics
attribute seiwhale_presence long_name String sei whale presence
attribute seiwhale_presence standard_name String seiwhale_presence
attribute seiwhale_presence units String boolean
variable end_time   double start_time
attribute end_time actual_range double 1.5451776E12, 1.5561504E12
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.


 
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