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Dataset Title:  Neuston data from the F/V Sea Eagle and F/V Frosti salmon trawl cruises in the
Northeast Pacific from 2000-2002 as part of the U.S. GLOBEC program (NEP
project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_2464)
Range: longitude = -126.0125 to -124.1283°E, latitude = 41.8249 to 44.7047°N
Information:  Summary ? | License ? | 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 {
  cruise_id {
    String bcodmo_name "cruiseid";
    String description "Cruise identifier.";
    String long_name "Cruise Id";
    String units "unitless";
  }
  ship {
    String bcodmo_name "ship";
    String description "Name of the ship.";
    String long_name "Ship";
    String units "unitless";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2000, 2002;
    String bcodmo_name "year";
    String description "Year.";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  }
  cast {
    Byte _FillValue 127;
    Byte actual_range 1, 105;
    String bcodmo_name "cast";
    String description "Cast number within the cruise.";
    String long_name "Cast";
    String units "unitless";
  }
  station_std {
    String bcodmo_name "station_std";
    String description "Standard station name.";
    String long_name "Station Std";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 41.8249, 44.7047;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude (decimal degrees)";
    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 -126.0125, -124.1283;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude (decimal degrees)";
    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";
  }
  depth_w {
    Int16 _FillValue 32767;
    Int16 actual_range 24, 3018;
    String bcodmo_name "depth_w";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Bottom depth of station (meters)";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters";
  }
  month_local {
    Byte _FillValue 127;
    Byte actual_range 5, 8;
    String bcodmo_name "month_local";
    String description "local month";
    String long_name "Month Local";
    String units "unitless";
  }
  day_local {
    Byte _FillValue 127;
    Byte actual_range 1, 31;
    String bcodmo_name "day_local";
    String description "local day";
    String long_name "Day Local";
    String units "unitless";
  }
  time_local {
    String bcodmo_name "time_local";
    String description "local time (24-hr)";
    String long_name "Time Local";
    String units "unitless";
  }
  inst {
    String bcodmo_name "instrument";
    String description "Sampling instrument.";
    String long_name "Inst";
    String units "unitless";
  }
  gear_area_m2 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.3, 0.3;
    String bcodmo_name "unknown";
    String description "Mouth area of gear (m2)";
    String long_name "Gear Area M2";
    String units "m2";
  }
  gear_mesh {
    Float32 _FillValue NaN;
    Float32 actual_range 0.333, 0.333;
    String bcodmo_name "net_mesh";
    String description "Gear mesh size (mm).";
    String long_name "Gear Mesh";
    String units "mm";
  }
  min_sample_depth {
    Byte _FillValue 127;
    Byte actual_range 0, 0;
    String bcodmo_name "depth_min";
    String description "minimum sampling depth";
    String long_name "Min Sample Depth";
    String units "not supllied";
  }
  max_sample_depth {
    Float32 _FillValue NaN;
    Float32 actual_range 0.3, 0.3;
    String bcodmo_name "depth_max";
    String description "maximum sampling depth";
    String long_name "Max Sample Depth";
    String units "not supplied";
  }
  biovolume_ml_100m3 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.14, 987.8;
    String bcodmo_name "biovolume";
    String description "Settled biovolume (ml 100 m-3).";
    String long_name "Biovolume Ml 100m3";
    String units "ml 100 m-3";
  }
  genus_species {
    String bcodmo_name "taxon";
    String description "Taxonomic category.";
    String long_name "Genus Species";
    String units "unitless";
  }
  life_stage {
    String bcodmo_name "stage";
    String description "Life stage.";
    String long_name "Life Stage";
    String units "unitless";
  }
  abund_100m3 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 3711.98;
    String bcodmo_name "unknown";
    String description "abundance per 100 m3";
    String long_name "Abund 100m3";
    String units "count per 100 m^3";
  }
  comments {
    String bcodmo_name "comment";
    String description "comments about particular record";
    String long_name "Comments";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"A neuston net with a 1-m wide by 0.3-m high mouth and 0.333-mm mesh was
utilized for collection of all zooplankton samples. A General Oceanics
flowmeter was attached in the mouth of the net in order to estimate the volume
of water filtered during each tow. The net was towed out of the ship's wake
for five minutes at approximately two knots (3.7 km/h). Upon retrieval, the
net was hosed down and contents of the cod end were transferred to a sample
jar. Large jellyfish and flotsam were rinsed off with seawater to remove any
attached plankton and discarded at sea. The sample was preserved with formalin
in ambient seawater to make a 5% formalin solution.";
    String awards_0_award_nid "54872";
    String awards_0_award_number "OCE-0000733";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0000733";
    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 "Phillip R. Taylor";
    String awards_0_program_manager_nid "50451";
    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 
"neuston_lev1 datafile: neuston_SE0005.dat  
  neuston_lev2 datafile: neuston_SE0005_1.dat";
    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 "2009-11-29T11:31:03Z";
    String date_modified "2019-11-26T16:25:39Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.2464.1";
    Float64 Easternmost_Easting -124.1283;
    Float64 geospatial_lat_max 44.7047;
    Float64 geospatial_lat_min 41.8249;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -124.1283;
    Float64 geospatial_lon_min -126.0125;
    String geospatial_lon_units "degrees_east";
    String history 
"2020-10-29T15:55:49Z (local files)
2020-10-29T15:55:49Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_2464.das";
    String infoUrl "https://www.bco-dmo.org/dataset/2464";
    String institution "BCO-DMO";
    String instruments_0_acronym "Neuston Net";
    String instruments_0_dataset_instrument_description "A neuston net with a 1-m wide by 0.3-m high mouth and 0.333-mm mesh wasutilized for collection of all zooplankton samples.";
    String instruments_0_dataset_instrument_nid "4161";
    String instruments_0_description "Neuston Nets are nets that collect zooplankton that live in the top few centimeters of the sea surface (the neuston layer).  This specialized net has a rectangular mouth opening usually 2 or 3 times as wide as deep, i.e. 1 meter by 1/2 meter or 60 cm by 20 cm, with  sometimes hollow piping construction to aid in flotation. They are generally towed half submerged at 1-2 kts from the side of the vessel on a boom to avoid the ship's wake.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/NETT0110/";
    String instruments_0_instrument_name "Neuston Net";
    String instruments_0_instrument_nid "460";
    String instruments_0_supplied_name "Neuston";
    String keywords "100m3, abund, abund_100m3, area, bco, bco-dmo, biological, biovolume, biovolume_ml_100m3, cast, chemical, comments, cruise, cruise_id, data, dataset, day, day_local, depth, depth_w, dmo, erddap, gear, gear_area_m2, gear_mesh, genus, genus_species, inst, latitude, life, life_stage, local, longitude, management, max, max_sample_depth, mesh, min, min_sample_depth, month, month_local, oceanography, office, preliminary, profiler, salinity, salinity-temperature-depth, sample, ship, species, stage, station, station_std, std, temperature, time, time_local, year";
    String license "https://www.bco-dmo.org/dataset/2464/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/2464";
    Float64 Northernmost_Northing 44.7047;
    String param_mapping "{'2464': {'lat': 'flag - latitude', 'lon': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2464/parameters";
    String people_0_affiliation "National Oceanic and Atmospheric Administration";
    String people_0_affiliation_acronym "NOAA";
    String people_0_person_name "Richard D Brodeur";
    String people_0_person_nid "50481";
    String people_0_role "Co-Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Oregon State University";
    String people_1_affiliation_acronym "OSU-CIMRS";
    String people_1_person_name "Suzan S Pool";
    String people_1_person_nid "50496";
    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 41.8249;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "inst,gear_area_m2,gear_mesh,min_sample_depth,max_sample_depth";
    String summary "Neuston data from the F/V Sea Eagle and F/V Frosti salmon trawl cruises in the Northeast Pacific from 2000-2002 as part of the U.S. GLOBEC program (NEP project)";
    String title "Neuston data from the F/V Sea Eagle and F/V Frosti salmon trawl cruises in the Northeast Pacific from 2000-2002 as part of the U.S. GLOBEC program (NEP project)";
    String version "1";
    Float64 Westernmost_Easting -126.0125;
    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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