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Dataset Title:  Nautical Area Scattering Coefficients (NASC) from an R/V BIP cruise in the
Guaymas Basin, Gulf of California in 2013 (Jumbo Squid El Nino Response project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_520594)
Range: longitude = -113.3081 to -111.334366°E, latitude = 27.24179 to 28.885792°N
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  date_start {
    Int32 _FillValue 2147483647;
    Int32 actual_range 20131020, 20131025;
    String bcodmo_name "date_begin";
    String description "Date at start of integration bin. in the format YYYYmmdd";
    String long_name "Date Start";
    String units "unitless";
  }
  time_start {
    String bcodmo_name "time_start";
    String description "Time (UTC) at start of integration bin in hours, minutes, and decimal minutes.";
    String long_name "Time Start";
    String units "HHMM.mmmm";
  }
  date_end {
    Int32 _FillValue 2147483647;
    Int32 actual_range 20131020, 20131025;
    String bcodmo_name "date_end";
    String description "Date at end of integration bin. in the format YYYYmmdd";
    String long_name "Date End";
    String units "unitless";
  }
  time_end {
    String bcodmo_name "time_end";
    String description "Time (UTC) at end of integration bin in hours, minutes, and decimal minutes.";
    String long_name "Time End";
    String units "HHMM.mmmm";
  }
  NASC {
    Float64 _FillValue NaN;
    Float64 actual_range 65.507579, 325420.6341;
    String bcodmo_name "unknown";
    String description "Nautical Area Scattering Coefficient (NASC).";
    String long_name "NASC";
    String units "m2 nmi-2";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 27.24179, 28.8857926;
    String axis "Y";
    String bcodmo_name "lat_start";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude at start of integration bin.";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String source_name "lat_start";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -113.3081006, -111.3343637;
    String axis "X";
    String bcodmo_name "lon_start";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude at start of integration bin.";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String source_name "lon_start";
    String standard_name "longitude";
    String units "degrees_east";
  }
  lat_end {
    Float64 _FillValue NaN;
    Float64 actual_range 27.24180667, 28.88577939;
    String bcodmo_name "lat_end";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude at end of integration bin.";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "decimal degrees";
  }
  lon_end {
    Float64 _FillValue NaN;
    Float64 actual_range -113.3081115, -111.3343267;
    String bcodmo_name "lon_end";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude at end of integration bin.";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "decimal degrees";
  }
  exclusion_line_mean_depth {
    Float64 _FillValue NaN;
    Float64 actual_range 18.341811, 500.0;
    String bcodmo_name "unknown";
    String description "Mean depth of the exclusion line for each bin.";
    String long_name "Exclusion Line Mean Depth";
    String units "meters";
  }
  integration_layer_thickness_mean {
    Float64 _FillValue NaN;
    Float64 actual_range 12.322174, 494.011495;
    String bcodmo_name "unknown";
    String description "Average thickness of the integrated cell.";
    String long_name "Integration Layer Thickness Mean";
    String units "meters";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Acoustic data were collected nearly continuously using Simrad EK60s at 4
frequencies (38, 70, 120, and 200 kHz). Split beam transducers (Simrad model
numbers: 38-12, 70-7c, 120-7c, 200-7c) were mounted 1.5 m below the surface on
a rigid pole. Each transmitted a 512 us pulse as frequently as possible for
the water depth. Raw data were stored using Simrad ER60 software.
 
Acoustic backscattering values at 38 kHz that were greater than -75 dB were
integrated in 1 km horizontal bins from depths of 5m to 500m or 1 m above the
bottom, whichever was shallower. These integrated, area scattering values or
Nautical Area Scattering Coefficients (NASC: m2\\u00a0nmi-2)\\u00a0are provided.
Noise removal from this data set (e.g. splash down, electrical interference,
and CTD casts) was minimal before integration.";
    String awards_0_award_nid "520405";
    String awards_0_award_number "OCE-1338432";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=1338432";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"Integrated Acoustic Scattering 
  Guaymas Basin, Gulf of Mexico, October 2013 
 PI: Kelly Benoit-Bird (OSU) 
 Version: 23 July 2014";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String date_created "2014-07-23T15:13:04Z";
    String date_modified "2019-12-30T16:54:50Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.520594.1";
    Float64 Easternmost_Easting -111.3343637;
    Float64 geospatial_lat_max 28.8857926;
    Float64 geospatial_lat_min 27.24179;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -111.3343637;
    Float64 geospatial_lon_min -113.3081006;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-03-28T08:50:44Z (local files)
2024-03-28T08:50:44Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_520594.das";
    String infoUrl "https://www.bco-dmo.org/dataset/520594";
    String institution "BCO-DMO";
    String instruments_0_acronym "Simrad EK-60 echosounder";
    String instruments_0_dataset_instrument_description "Acoustic data were collected nearly continuously using Simrad EK60s at 4 frequencies (38, 70, 120, and 200 kHz). Split beam transducers (Simrad model numbers: 38-12, 70-7c, 120-7c, 200-7c) were mounted 1.5 m below the surface on a rigid pole.";
    String instruments_0_dataset_instrument_nid "520598";
    String instruments_0_description "A split-beam scientific echosounder primarily designed for fisheries research. It can operate seven frequencies simultaneously ranging from 18 to 710 kHz. Real time echo integration and target strength analysis in an unlimited number of layers is provided as well as storage of raw data for replay or analysis in one of several post-processing software packages such as Simrad's BI60.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0198/";
    String instruments_0_instrument_name "Simrad EK-60 echosounder";
    String instruments_0_instrument_nid "716";
    String instruments_0_supplied_name "Simrad EK-60 echosounder";
    String keywords "bco, bco-dmo, biological, chemical, data, dataset, date, date_end, date_start, depth, dmo, end, erddap, exclusion, exclusion_line_mean_depth, integration, integration_layer_thickness_mean, lat_end, latitude, layer, line, lon_end, longitude, management, mean, nasc, oceanography, office, preliminary, start, thickness, time, time_end, time_start";
    String license "https://www.bco-dmo.org/dataset/520594/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/520594";
    Float64 Northernmost_Northing 28.8857926;
    String param_mapping "{'520594': {'lon_start': 'flag - longitude', 'lat_start': 'flag - latitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/520594/parameters";
    String people_0_affiliation "Oregon State University";
    String people_0_affiliation_acronym "OSU-CEOAS";
    String people_0_person_name "Kelly Benoit-Bird";
    String people_0_person_nid "51716";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Oregon State University";
    String people_1_affiliation_acronym "OSU-CEOAS";
    String people_1_person_name "Chad Waluk";
    String people_1_person_nid "51717";
    String people_1_role "Contact";
    String people_1_role_type "related";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Shannon Rauch";
    String people_2_person_nid "51498";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "Jumbo Squid El Nino Response";
    String projects_0_acronym "Jumbo Squid El Nino Response";
    String projects_0_description 
"Description from NSF award abstract:
This project will examine the response of Dosidicus gigas (Humboldt squid) to an El Niño event in 2009-2010 that was accompanied by a collapse of the commercial fishery for this squid in the Guaymas Basin within the Gulf of California. This large squid is a major predator of great ecological and economic importance in the Gulf of California, the California Current, and Peru Current systems. In early 2010, these squid abandoned their normal coastal-shelf habitats in the Guaymas Basin and instead were found in the Salsipuedes Basin to the north, an area buffered from the effects of El Niño by the upwelling of colder water. The commercial fishery also relocated to this region and large squid were not found in the Guaymas Basin from 2010-2012, instead animals that matured at an unusually small size and young age were abundant. A return to the large size-at-maturity condition has still not occurred, despite the apparent return of normal oceanographic conditions.
The El Niño of 2009-2010 presented an unforeseen opportunity to reveal an important feature of adaptability of Dosidicus gigas to an acute climatic anomaly, namely a large decrease in size and age at maturity. Now these investigators will have the opportunity to document recovery to the normal large size-at-maturity condition. The specific aims of this project are:
1) continue a program of acoustic surveys and direct sampling of squid that has already been established in the Gulf of California in order to assess distribution, biomass, life history strategy diet, and migratory and foraging behaviors relative to pre-El Niño conditions and
2) conduct analogous surveys in Monterey Bay, California in conjunction with long-term remote operated vehicle surveys of squid abundance.
The data from these studies will provide a comparison of recovery in the two different squid populations and yield valuable insights into what ecological effects an area is expected to experience with an invasion of either small or large Humboldt squid. As long-term climate change progresses, squid of both forms may expand northward into the California Current System.
Related Project: Hypoxia and the ecology, behavior and physiology of jumbo squid, Dosidicus gigas";
    String projects_0_end_date "2015-06";
    String projects_0_geolocation "Gulf of California and Monterey Bay";
    String projects_0_name "Adaptable life history strategy of a migratory large predator in response to El Nino and climate change";
    String projects_0_project_nid "520407";
    String projects_0_start_date "2013-07";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 27.24179;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Integrated, area scattering values, or Natuical Area Scattering Coefficients (NASC) are provided from one cruise in the Guaymas Basin that occurred October 2013. Also included are the time (UTC) and location at the start and end of each integration bin, mean depth of the exclusion line for each bin, and the average thickness of the integrated cell.\\r\\n\\r\\nNote that noise removal from this data set (e.g. splash down, electrical interference, and CTD casts) was minimal before integration. Raw acoustic scattering data (.raw files) are extremely large. These are archived at Oregon State University and will be shared using physical media upon request.";
    String title "Nautical Area Scattering Coefficients (NASC) from an R/V BIP cruise in the Guaymas Basin, Gulf of California in 2013 (Jumbo Squid El Nino Response project)";
    String version "1";
    Float64 Westernmost_Easting -113.3081006;
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection 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.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.


 
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