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Dataset Title:  NOAA-Navy Sanctuary Soundscape Monitoring Project, Bocaccio Sound Production,
Channel Islands, SanctSound_CI02_01_bocaccio
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Institution:  NOAA   (Dataset ID: noaaSanctSound_CI02_01_bocaccio)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 start_time (UTC) ?      401    4h 21m 3s (uneven)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 bocaccio_presence (boolean) ?
 end_time (seconds since 1970-01-01T00:00:00Z) ?

File type: (more information)

(Documentation / Bypass this form) ?
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  start_time {
    Float64 actual_range 1.5410370637580001e+9, 1.5473021127e+9;
    String axis "T";
    String comment "Start time of detections. Corresponding end time for detection in end_time_var at same index value as start_time_var.";
    String ioos_category "Time";
    String long_name "Start Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00.000Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  bocaccio_presence {
    String cell_methods "time: sum (comment: presence (1) or absence (0) over time interval)";
    String comment "Presence of bocaccio calls (0 = not present; 1 = present)";
    String ioos_category "Statistics";
    String long_name "bocaccio presence";
    String standard_name "bocaccio_presence";
    String units "boolean";
  }
  end_time {
    Float64 actual_range 1.541037063815e+12, 1.547302113632e+12;
    String axis "T";
    String comment "End time of detections. Corresponding start time for detection in start_time_var at same index value as end_time_var.";
    String ioos_category "Time";
    String long_name "End Time";
    String standard_name "end_time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  NC_GLOBAL {
    String abstract "This record represents bocaccio calls detection from raw passive acoustic data. Calls were detected automatically using Triton's Fish Detector. Recordings were first decimated to a sample rate of 2 kHz. The fish detector filtered the time series between 100 and 950 Hz, and computed cross-correlation between the envelope of a filtered example call and 75s of the envelope of the filtered time series. To detect signals within varying background noise, we used a floating threshold of the median cross correlation value over the current 75 s of data, with a threshold offset of 2e-9 above the median. Detections were evaluated if they reached above this threshold. Consecutive calls were required to have a minimum time gap of 0.5 s to be detected separately. RMS received level was computed over the potential detection period and a time series of the length of the bocaccio call template before and after the detection. Detections were considered false and discarded if the signal-to-noise ratio between the detection period and the timeseries before and after the detection was less than 0.01. The threshold was evaluated based on the distribution of histograms of manually verified true and false detections. A trained analyst verified the detections as true or false.These data were recorded at SanctSound Site CI02_01 between October 31, 2018 and January 13, 2019.";
    String acknowledgement "This project received funding from the U.S. Navy.";
    String cdm_data_type "TimeSeries";
    String citation "Cite as: NOAA Office of National Marine Sanctuaries and U.S Navy. 2021. Bocaccio Sound Production Recorded at SanctSoundSite CI02_01, SanctSound Data Products. NOAA National Centers for Environmental Information. Accessed [date]. DOI: https://doi.org/http://doi.org/10.25921/2ygd-gn27";
    String comment "Data quality: Recorded received level gradually decreases after 2018-11-30 for the frequencies below 200 Hz. This drift is caused by changes in the hydrophone sensitivity.";
    String 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";
    String contributor_role "Principal Investigator";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "ncei.info@noaa.gov";
    String creator_name "NOAA NCEI";
    String creator_url "https://www.ncei.noaa.gov/";
    String date_created "2022-08-22";
    String date_issued "2022-08-22";
    String featureType "TimeSeries";
    String geospatial_bounds "POINT (34.0856 -120.5232)";
    String history 
"Bocaccio calls were detected automatically using the Fish Detector in Triton version 1.93 (Scripps Whale Acoustics Lab, San Diego, CA). Recordings were decimated to a sample rate of 2,000 Hz before running through the detector. The fish detector first filtered the time series between 100 and 950 Hz (10th order Butterworth filter). Then, it computed cross-correlation between the envelope of a filtered example call (3 s, Hann windowed) and 75s of the envelope of the filtered time series (i.e., Hilbert transform low pass filter). To enhance peaks in the signal, the cross correlation was squared. To account for detecting signals within background noise, we used a floating threshold of the median cross correlation value over the current 75 s of data, with a threshold offset of 2e-9 above the median.  Detections were evaluated if they reached above this threshold. Consecutive calls were required to have a minimum time gap of 0.5 s to be detected separately. RMS received level was computed over the potential detection period and a time series of the length of the bocaccio call template before and after the detection. Detections were considered false and discarded if the signal-to-noise ratio between the detection period and the timeseries before and after the detection was  less than 0.01. The threshold was evaluated based on the distribution of histograms of manually verified true and false detections. After running the detector, a trained analyst verified the detections as true or false. Data were processed with Triton - (1.93.20160524/Github version d81e5fa) and Matlab (2016b and newer; statistics toolbox).
2024-12-12T11:01:27Z (local files)
2024-12-12T11:01:27Z https://coastwatch.pfeg.noaa.gov/erddap/griddap/noaaSanctSound_CI02_01_bocaccio.das";
    String id "http://doi.org/10.25921/2ygd-gn27";
    String infoUrl "https://ncei.noaa.gov";
    String institution "NOAA";
    String instrument "SoundTrap ST500";
    String keywords "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";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "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.";
    String naming_authority "NOAA-Navy";
    String project "NOAA-Navy Sanctuary Soundscape Monitoring Project";
    String publisher_email "erd.data@noaa.gov";
    String publisher_name "NOAA NMFS SWFSC ERD";
    String publisher_type "institution";
    String publisher_url "https://www.pfeg.noaa.gov";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "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.";
    String title "NOAA-Navy Sanctuary Soundscape Monitoring Project, Bocaccio Sound Production, Channel Islands, SanctSound_CI02_01_bocaccio";
  }
}

 

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griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. griddap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its projection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

griddap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][latitude][longitude]).

For details, see the griddap Documentation.


 
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