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Dataset Title:  Zooplankton counts (density) from R/V Seward Johnson, R/V Oceanus, and R/V
Edwin Link cruises SJ9508, OC303, EL9904, and EL9905 in the Gulf of Maine and
Georges Bank from 1995-1999 (GB project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_2332)
Range: longitude = -68.475 to -67.2°E, latitude = 40.58 to 41.836°N, depth = 5.0 to 65.0m
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 {
  cruiseid {
    String bcodmo_name "cruiseid";
    String description "cruise identification";
    String long_name "Cruiseid";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 1995, 1999;
    String bcodmo_name "year";
    String description "four digit year";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "GMT";
  }
  event {
    String bcodmo_name "event";
    String description "event number, from event log";
    String long_name "Event";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/EVTAGFL/";
  }
  yrday_gmt {
    Float32 _FillValue NaN;
    Float32 actual_range 108.898, 164.9431;
    String bcodmo_name "yrday_gmt";
    String description "day of year, J ulian calendar";
    String long_name "Yrday Gmt";
    String units "decimalday,GMT";
  }
  month_gmt {
    String bcodmo_name "month_gmt";
    String description "month of year";
    String long_name "Month Gmt";
    String units "GMT";
  }
  day_gmt {
    Byte _FillValue 127;
    Byte actual_range 11, 29;
    String bcodmo_name "day_gmt";
    String description "day of month";
    String long_name "Day Gmt";
    String units "GMT";
  }
  time_gmt {
    String bcodmo_name "time_gmt";
    String description "time, reported as HHmm.m";
    String long_name "Time Gmt";
    String units "GMT";
  }
  station {
    Int16 _FillValue 32767;
    Int16 actual_range 30, 183;
    String bcodmo_name "station";
    String description "station number";
    String long_name "Station";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 40.58, 41.836;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude, negative = southdecimal 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 -68.475, -67.2;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude, 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";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 5.0, 65.0;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "sample depth";
    String ioos_category "Location";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  taxon {
    String bcodmo_name "taxon";
    String description "taxonomic identification";
    String long_name "Taxon";
  }
  stage {
    String bcodmo_name "stage";
    String description "Nauplii or Copepodite or Other (non copepod)";
    String long_name "Stage";
  }
  stage_num {
    Byte _FillValue 127;
    Byte actual_range 1, 6;
    String bcodmo_name "stage_num";
    String description "Copepodite and nauplii developmental stages number (1 - 6)";
    String long_name "Stage Num";
  }
  sex {
    String bcodmo_name "sex";
    String description "Only Copepodite stage 6 were sexed, (F/M)";
    String long_name "Sex";
  }
  num_per_m3 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 252329.7491;
    String bcodmo_name "unknown";
    String description "abundance, number of specific animal/group counted";
    String long_name "Num Per M3";
    String units "number per cubic meter";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Using a pumping system appended to the CTD unit, measured water volumes
(typically 40 liters) were sampled at descrete depths and filtered through 40
micron mesh prior to sorting. A subsample of the filtered sample was used for
the zooplankton counts and identification. The size of the subsample varied
and depended on the amount of zooplankton present - subsamples were larger
when there were fewer animals.";
    String awards_0_award_nid "54626";
    String awards_0_award_number "unknown GB NOAA";
    String awards_0_funder_name "National Oceanic and Atmospheric Administration";
    String awards_0_funding_acronym "NOAA";
    String awards_0_funding_source_nid "352";
    String awards_1_award_nid "55058";
    String awards_1_award_number "OCE-9313669";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9313669";
    String awards_1_funder_name "NSF Division of Ocean Sciences";
    String awards_1_funding_acronym "NSF OCE";
    String awards_1_funding_source_nid "355";
    String awards_1_program_manager "Phillip R. Taylor";
    String awards_1_program_manager_nid "50451";
    String cdm_data_type "Other";
    String comment "Zoo Pump Data - L. Incze, P.I.";
    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 "2009-11-25T14:58:41Z";
    String date_modified "2019-02-21T19:30:56Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.2332.1";
    Float64 Easternmost_Easting -67.2;
    Float64 geospatial_lat_max 41.836;
    Float64 geospatial_lat_min 40.58;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -67.2;
    Float64 geospatial_lon_min -68.475;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 65.0;
    Float64 geospatial_vertical_min 5.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2022-08-16T04:31:02Z (local files)
2022-08-16T04:31:02Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_2332.das";
    String infoUrl "https://www.bco-dmo.org/dataset/2332";
    String institution "BCO-DMO";
    String instruments_0_acronym "Zoo Pump2";
    String instruments_0_dataset_instrument_description "EL9905:  Pump samples were taken by attaching one end of a 5 cm x 60 m reinforced hose to the CTD/rosette frame so that the hose opening was near (within ~0.25 m of) the CTD sensors. The CTD was lowered to depth (usually 50 m) and stopped at discrete sampling depths at 5 m intervals up to a depth of 5 m. Time was given for the system to clear at each new depth before sampling. A gas-powered diaphragm pump delivered water from sampling depths to the surface at a nominal rate of 0.3 m3/min. This water passed into a small, rapidly draining reservoir (0.13 m3) on deck to dampen the surge. This reservoir also was drained between sampling depths. A 1.9 cm ID hose carried water from the reservoir to individual samplers equipped with 40 um mesh nets. An electronic timer and flow meter installed in the 1.9 cm hose was started and stopped for each sample, providing very high accuracy measurements of the volumes filtered. The final sampling rate averaged 13 l/min, and most samples were filtered from 27-33 l of water. Samples were preserved in 3-5% buffered formalin.";
    String instruments_0_dataset_instrument_nid "5241";
    String instruments_0_description "This kind of diaphragm pump, manufactured by Homelite and run on gasoline, is called a positive displacement pump because it pumps a specific volume for each pump cycle.  Diaphragm pumps move fluids more slowly than centrifugal pumps but treat the animals more gently and they can handle thicker mud and larger amounts of solids.  They also tolerate air being drawn into the pump and can be run dry without damage.   In 2002, Homelite was acquired and became Riverside Pump Manufacturing, Inc.  Diaphragm pumps feature a straight through self priming design and the rubber elastomer diaphragm and flapper valves are easily replaced on site.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/NETT0146/";
    String instruments_0_instrument_name "Zooplankton Pump - gas powered diaphragm";
    String instruments_0_instrument_nid "441";
    String instruments_0_supplied_name "Zooplankton Pump - gas powered diaphragm";
    String instruments_1_acronym "Zoo Pump Gas Centrifugal";
    String instruments_1_dataset_instrument_description "Earlier three deployments: The end of a sampling hose was attached near the bottom of the CTD rosette frame. The hose was lowered independently over the side using the CTD to control depth and record conditions throughout sampling. A system was used that delivered approximately 255 l min-1 to the deck and cleared in less than 1 minute. Lines were allowed to clear between samples. On deck the water passed through a manifold and a reduced volume, 31 l min-1, was passed through a succession of small sampling nets with 40 µm mesh. Variations in flow, which are generally small, were monitored with a flow meter on one of the main lines from the manifold  and were used to adjust flow rate calculations. Sampling in the small nets was timed with a stop watch, with a target of 1 minute (31 l) per sampled depth. Samples (up to 12 per cast) were preserved in a small volume of buffered formalin for later analysis.";
    String instruments_1_dataset_instrument_nid "5240";
    String instruments_1_description "The Pacer gas-powered centrifugal pump is a water pumping system for zooplankton sampling.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/NETT0146/";
    String instruments_1_instrument_name "Zooplankton Pump - gas centrifugal";
    String instruments_1_instrument_nid "453";
    String instruments_1_supplied_name "Zooplankton Pump - gas centrifugal";
    String keywords "bco, bco-dmo, biological, chemical, cruiseid, data, dataset, day, day_gmt, depth, dmo, erddap, event, latitude, longitude, management, month, month_gmt, num, num_per_m3, oceanography, office, per, preliminary, sex, stage, stage_num, station, taxon, time, time_gmt, year, yrday, yrday_gmt";
    String license "https://www.bco-dmo.org/dataset/2332/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/2332";
    Float64 Northernmost_Northing 41.836;
    String param_mapping "{'2332': {'lat': 'master - latitude', 'depth': 'flag - depth', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2332/parameters";
    String people_0_affiliation "University of Southern Maine";
    String people_0_affiliation_acronym "USM";
    String people_0_person_name "Dr Lewis Incze";
    String people_0_person_nid "50413";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Woods Hole Oceanographic Institution";
    String people_1_affiliation_acronym "WHOI";
    String people_1_person_name "Ms Dicky Allison";
    String people_1_person_nid "50382";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "GB";
    String projects_0_acronym "GB";
    String projects_0_description 
"The U.S. GLOBEC Georges Bank Program is a large multi- disciplinary multi-year oceanographic effort. The proximate goal is to understand the population dynamics of key species on the Bank - Cod, Haddock, and two species of zooplankton (Calanus finmarchicus and Pseudocalanus) - in terms of their coupling to the physical environment and in terms of their predators and prey. The ultimate goal is to be able to predict changes in the distribution and abundance of these species as a result of changes in their physical and biotic environment as well as to anticipate how their populations might respond to climate change.
The effort is substantial, requiring broad-scale surveys of the entire Bank, and process studies which focus both on the links between the target species and their physical environment, and the determination of fundamental aspects of these species' life history (birth rates, growth rates, death rates, etc).
Equally important are the modelling efforts that are ongoing which seek to provide realistic predictions of the flow field and which utilize the life history information to produce an integrated view of the dynamics of the populations.
The U.S. GLOBEC Georges Bank Executive Committee (EXCO) provides program leadership and effective communication with the funding agencies.";
    String projects_0_geolocation "Georges Bank, Gulf of Maine, Northwest Atlantic Ocean";
    String projects_0_name "U.S. GLOBEC Georges Bank";
    String projects_0_project_nid "2037";
    String projects_0_project_website "http://globec.whoi.edu/globec_program.html";
    String projects_0_start_date "1991-01";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 40.58;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Zooplankton counts (density) from R/V Seward Johnson, R/V Oceanus, and R/V Edwin Link cruises SJ9508, OC303, EL9904, and EL9905 in the Gulf of Maine and Georges Bank from 1995-1999";
    String title "Zooplankton counts (density) from R/V Seward Johnson, R/V Oceanus, and R/V Edwin Link cruises SJ9508, OC303, EL9904, and EL9905 in the Gulf of Maine and Georges Bank from 1995-1999 (GB project)";
    String version "1";
    Float64 Westernmost_Easting -68.475;
    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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