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Dataset Title:  [cetaceans] - Cetacean observations from the Northern California Current in
the Northeast Pacific on R/V New Horizon cruises NH0005 and NH0007 in 2000 (NEP
project) (U.S. GLOBEC Northeast Pacific)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_2339)
Range: longitude = -126.04221 to -122.96828°E, latitude = 37.91703 to 44.68547°N
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Subset | 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 {
  cruiseid {
    String bcodmo_name "cruiseid";
    String description "Cruise identifier, e.g. NH0005, for R/V New Horizon, cruise 0005.";
    String long_name "Cruiseid";
    String units "dimensionless";
  }
  month {
    String bcodmo_name "unknown";
    String description "Months in which the survey was conducted.";
    String long_name "Month";
    String units "dimensionless";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2000, 2000;
    String bcodmo_name "year";
    String description "Year in which the survey was conducted.";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "dimensionless";
  }
  species_code {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 21, 76;
    String bcodmo_name "unknown";
    String description "A two-digit identifier for a given cetacean species.";
    String long_name "Species Code";
    String units "dimensionless";
  }
  species {
    String bcodmo_name "species";
    String description "The scientific name for a given cetacean species.";
    String long_name "Species";
    String units "dimensionless";
  }
  common_name {
    String bcodmo_name "common_name";
    String description "The common name for a given cetacean species.";
    String long_name "Common Name";
    String units "dimensionless";
  }
  number {
    Int16 _FillValue 32767;
    Int16 actual_range 1, 250;
    String bcodmo_name "number";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "The best estimate of the number of animals in the sighting.";
    String long_name "Number";
    String units "dimensionless";
  }
  month_local {
    String bcodmo_name "month_local";
    String description "Month of the sighting (0 to 12), local time.";
    String long_name "Month Local";
    String units "dimensionless";
  }
  day_local {
    String bcodmo_name "day_local";
    String description "Day of month (0 to 31), local time.";
    String long_name "Day Local";
    String units "dimensionless";
  }
  time_local {
    String bcodmo_name "time_local";
    String description "Time of the sighting, local Pacific Standard Time.";
    String long_name "Time Local";
    String units "hours & decimal minutes";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 37.91703, 44.68547;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude for the cetacean position, not ship, negative = South";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -126.04221, -122.96828;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude for the cetacean position, not ship, negative = West";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "degrees_east";
  }
  effort_type {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 2;
    String bcodmo_name "unknown";
    String description "Type of effort: 1 for sighting from 25 x 150 binoculars 2 for sighting with 7 x 50 binoculars, or by eye.";
    String long_name "Effort Type";
    String units "dimensionless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Surveys were conducted in passing mode while the R/V New Horizon was in
transit between stations for hydrographic and zooplankton sampling.
Observations were conducted from the flying bridge during daylight (~0600 to
2030) whenever sufficient visibility (i.e., > 2 nm) and weather (i.e., <
Beaufort 6) allowed. Two observers simultaneously surveyed to the horizon with
25 x 150 binoculars, equipped with compass and reticle. Each observer surveyed
a 100\\u00b0 arc from 10\\u00b0 off the bow (opposite side) to 90\\u00b0 on their
side of the ship. A third observer focused on the track-line by eye, aided
with 7 x 50 hand-held binoculars. Sightings were entered immediately on a
laptop computer connected to the ship's GPS system. Positions of all sightings
were corrected to reflect the actual location of the cetaceans, rather than
the ship's position. The height from the surface of the water to the eyes of
observers on the 25 x 150 binoculars was 10.87 m.";
    String awards_0_award_nid "54691";
    String awards_0_award_number "OCE-0534609";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0534609";
    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 awards_1_award_nid "55044";
    String awards_1_award_number "unknown NEP NOAA";
    String awards_1_funder_name "National Oceanic and Atmospheric Administration";
    String awards_1_funding_acronym "NOAA";
    String awards_1_funding_source_nid "352";
    String cdm_data_type "Other";
    String comment 
"Cetacean sighting data from NCC GLOBEC survey cruises 
  C. Tynan and D. Ainley, PIs 
   see documentation for explanation of variables";
    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 "2009-02-18T20:52:25Z";
    String date_modified "2019-02-22T15:55:37Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.2339.1";
    Float64 Easternmost_Easting -122.96828;
    Float64 geospatial_lat_max 44.68547;
    Float64 geospatial_lat_min 37.91703;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -122.96828;
    Float64 geospatial_lon_min -126.04221;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-08T06:14:50Z (local files)
2024-11-08T06:14:50Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_2339.das";
    String infoUrl "https://www.bco-dmo.org/dataset/2339";
    String institution "BCO-DMO";
    String instruments_0_acronym "Binocs";
    String instruments_0_dataset_instrument_description "Handheld binoculars, general used for bird observations";
    String instruments_0_dataset_instrument_nid "4108";
    String instruments_0_description "Handheld binoculars, generally used for bird observations.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/91/";
    String instruments_0_instrument_name "Binoculars, Handheld";
    String instruments_0_instrument_nid "428";
    String instruments_0_supplied_name "Handheld Binoculars";
    String keywords "bco, bco-dmo, biological, chemical, code, common, common_name, cruiseid, data, dataset, day, day_local, dmo, effort, effort_type, erddap, latitude, local, longitude, management, month, month_local, name, number, oceanography, office, preliminary, species, species_code, time, time_local, type, year";
    String license "https://www.bco-dmo.org/dataset/2339/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/2339";
    Float64 Northernmost_Northing 44.68547;
    String param_mapping "{'2339': {'lat': 'master - latitude', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2339/parameters";
    String people_0_affiliation "H.T. Harvey & Associates";
    String people_0_person_name "Dr David  G. Ainley";
    String people_0_person_nid "50491";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Northwest Fisheries Science Center - Seattle";
    String people_1_affiliation_acronym "NOAA NWFSC";
    String people_1_person_name "Dr Cynthia Tynan";
    String people_1_person_nid "50476";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Ms Dicky Allison";
    String people_2_person_nid "50382";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "NEP";
    String projects_0_acronym "NEP";
    String projects_0_description 
"Program in a Nutshell
Goal:  To understand the effects of climate variability and climate change on the distribution, abundance and production of marine animals (including commercially important living marine resources) in the eastern North Pacific. To embody this understanding in diagnostic and prognostic ecosystem models, capable of capturing the ecosystem response to major climatic fluctuations.
Approach: To study the effects of past and present climate variability on the population ecology and population dynamics of marine biota and living marine resources, and to use this information as a proxy for how the ecosystems of the eastern North Pacific may respond to future global climate change. The strong temporal variability in the physical and biological signals of the NEP will be used to examine the biophysical mechanisms through which zooplankton and salmon populations respond to physical forcing and biological interactions in the coastal regions of the two gyres. Annual and interannual variability will be studied directly through long-term observations and detailed process studies; variability at longer time scales will be examined through retrospective analysis of directly measured and proxy data. Coupled biophysical models of the ecosystems of these regions will be developed and tested using the process studies and data collected from the long-term observation programs, then further tested and improved by hindcasting selected retrospective data series.";
    String projects_0_geolocation "Northeast Pacific Ocean, Gulf of Alaska";
    String projects_0_name "U.S. GLOBEC Northeast Pacific";
    String projects_0_project_nid "2038";
    String projects_0_project_website "http://nepglobec.bco-dmo.org";
    String projects_0_start_date "1997-01";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 37.91703;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "year";
    String summary "Cetacean observations from the Northern California Current in the Northeast Pacific on R/V New Horizon cruises NH0005 and NH0007 in 2000";
    String title "[cetaceans] - Cetacean observations from the Northern California Current in the Northeast Pacific on R/V New Horizon cruises NH0005 and NH0007 in 2000 (NEP project) (U.S. GLOBEC Northeast Pacific)";
    String version "1";
    Float64 Westernmost_Easting -126.04221;
    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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