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Dataset Title:  NOAA-Navy Sanctuary Soundscape Monitoring Project, Atlantic Cod Sound
Production, Stellwagen Bank, SanctSound_SB01_04_atlanticcod
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Institution:  NOAA   (Dataset ID: noaaSanctSound_SB01_04_atlanticcod)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      1    (just one value)
  < slider >
Grid Variables (which always also download all of the dimension variables) 
 atlanticcod_presence (boolean) ?
 time_stamp (Timestamp in ISO 8601 date format, ms) ?

File type: (more information)

(Documentation / Bypass this form) ?
(Please be patient. It may take a while to get the data.)


The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.55330094e+9, 1.55330094e+9;
    String axis "T";
    String bounds "time_bounds";
    String ioos_category "Time";
    String long_name "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";
  atlanticcod_presence {
    String comment "Presence of Atlantic cod grunts";
    String ioos_category "Statistics";
    String long_name "atlantic cod presence";
    String standard_name "atlanticcod_presence";
    String units "boolean";
  time_stamp {
    String axis "T";
    String ioos_category "Time";
    String long_name "Timestamp in ISO 8601 date format";
    String standard_name "time";
    String units "ms";
    String abstract "This record represents the Atlantic cod sound production detected from raw passive acoustic data. All acoustic data were processed using the automatic grunt detector and recogniser for Atlantic cod. This method uses a two-stage hypothesis testing algorithm that includes detecting and recognizing all grunt-like sounds. Detector output was manually verified, and false positives are removed. These data were recorded at SanctSound Site SB01_04 between June 01, 2019 and August 02, 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. Atlantic Cod Sound Production Recorded at SanctSound Site SB01_04, SanctSound Data Products. NOAA National Centers for Environmental Information. Accessed [date]. DOI:";
    String comment "Data quality: Quality data were recorded for the duration of the deployment.";
    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 "";
    String creator_name "NOAA NCEI";
    String creator_url "";
    String date_created "2022-03-21";
    String date_issued "2022-03-21";
    String featureType "TimeSeries";
    String geospatial_bounds "POINT (42.436795 -70.5464317)";
    String history 
"All acoustic data were processed using the automatic grunt detector and recogniser for Atlantic cod (Urazghildiiev and Van Parijs, 2016). The method uses a two-stage hypothesis testing algorithm that includes detecting and recognizing all grunt-like sounds. In the first stage, the impulsive signals are extracted from continuous background noise. The signal recognition algorithm is based on tests of the features extracted from the spectrogram. Grunts produced by Atlantic cod are recognized from the detected impulsive signals in the second step. For each n-th detected impulsive signal, the recognizer computes the statistic, w(n) (0 less than w(n) less than equal to 1), and compares it with a threshold, c (c=0.37). If w(n) greater than or equal to c, then the impulsive signal is labeled as “Acod” (that corresponds to the class “Atlantic cod grunt”). Detector output is then manually verified, and false positives are removed. Data were processed with Matlab 2016 and newer
2022-08-16T14:05:21Z (local files)
    String id "";
    String infoUrl "";
    String institution "NOAA";
    String instrument "SoundTrap ST300";
    String keywords "acoustic attenuation/transmission, acoustics, ambient noise, aquatic ecosystems, cetacean, environmental, fish, frequency, intensity, marine environment monitoring, marine habitat, national centers for\\n                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 "";
    String publisher_name "NOAA NMFS SWFSC ERD";
    String publisher_type "institution";
    String publisher_url "";
    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 time_coverage_end "2019-03-23T00:29:00.000Z";
    String time_coverage_start "2019-03-23T00:29:00.000Z";
    String title "NOAA-Navy Sanctuary Soundscape Monitoring Project, Atlantic Cod Sound Production, Stellwagen Bank, SanctSound_SB01_04_atlanticcod";


Using griddap to Request Data and Graphs from Gridded Datasets

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{?query}
For example,[(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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