NOAA ERDDAP
Easier access to scientific data
log in | ?    
Brought to you by NOAA NMFS SWFSC ERD    

ERDDAP > griddap > Data Access Form ?

Dataset Title:  NOAA-Navy Sanctuary Soundscape Monitoring Project, Humpback Whale Sound
Production, Hawaiian Islands, SanctSound_HI03_01_GoogleAI_humpbackwhale_1h
Subscribe RSS
Institution:  NOAA   (Dataset ID: noaaSanctSound_HI03_01_GoogleAI_humpbackwhale_1h)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 start_time (UTC) ?      786    1h 0m 0s (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 humpbackwhale_detection_proportion (%) ?
 end_time (seconds since 1970-01-01T00:00:00Z) ?

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 {
  start_time {
    Float64 actual_range 1.5450804e+9, 1.5479064e+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";
  }
  humpbackwhale_detection_proportion {
    String cell_methods "time: sum (comment: Percentage of files with positive detections)";
    String comment "Proportion of positive detections";
    String ioos_category "Statistics";
    String long_name "humpback whale detection proportion";
    String standard_name "humpbackwhale_detection_proportion";
    String units "%";
  }
  end_time {
    Float64 actual_range 1.545084e+12, 1.54791e+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 humpback whale sound production detected from raw passive acoustic data.All continuous acoustic data were divided into 30 s wav file subsamples and processed using a machine learning humpback whale detector model developed and provided by Google (GoogleAI; Matt Harvey). The presence of humpback whale song is scored by the model and, compared to a choosen threshold, was assigned a binary 0/1 designation indicating absence (0) or presence (1). The percentage of files with humpback whale presence per hour was calculated.These data were recorded at SanctSound Site HI03_01 between December 17, 2018 and January 19, 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. Humpback Whale Sound Production Recorded at SanctSound Site HI03_01, SanctSound Data Products. NOAA National Centers for Environmental Information. Accessed [date]. DOI: https://doi.org/http://doi.org/10.25921/vxbc-a920";
    String comment "Data quality: Data were compromised after 01/19/2019 due to the development of a high noise floor as the hydrophones were affected by depth.";
    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 "2022-08-23";
    String date_issued "2022-08-23";
    String featureType "TimeSeries";
    String geospatial_bounds "POINT (21.2852 -157.599983)";
    String history 
"All continuous acoustic data were divided into 30 s wav file subsamples. All 30 s recordings were processed using a machine learning humpback whale detector model developed and provided by Google (GoogleAI; Matt Harvey), which steps through each recording at 1.1 s intervals. At each step, the presence of humpback whale song is scored by the model, resulting in 27 scores for each file. The mean out of the 27 scores was calculated and upon meeting a choosen threshold of 0.25 was assigned a binary 0/1 designation indicating absence (0) or presence (1) of humpback whale song within the file. The percentage of files with humpback whale presence per hour was calculated. Data were processed with GoogleAI
2022-10-04T09:52:49Z (local files)
2022-10-04T09:52:49Z http://coastwatch.pfeg.noaa.gov/erddap/griddap/noaaSanctSound_HI03_01_GoogleAI_humpbackwhale_1h.das";
    String id "http://doi.org/10.25921/vxbc-a920";
    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, Humpback Whale Sound Production, Hawaiian Islands, SanctSound_HI03_01_GoogleAI_humpbackwhale_1h";
  }
}

 

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
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.


 
ERDDAP, Version 2.20
Disclaimers | Privacy Policy | Contact