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Dataset Title:  Chlorophyll data from bottles, buckets, and ice from RVIB Nathaniel B. Palmer
cruises NBP0103, NBP0104, NBP0202, and NBP0204 in the Southern Ocean from 2001-
2002 (SOGLOBEC project)
  RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_2356)
Range: longitude = -77.762 to -65.501°E, latitude = -70.633 to -64.129°N, depth = -1.3 to 3670.1m
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
Graph Type:  ?
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Y Axis: 
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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 description "cruise identification, (e.g., NBP0103)";
    String ioos_category "Unknown";
    String long_name "Cruiseid";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2001, 2002;
    String description "year, GMT";
    String ioos_category "Time";
    String long_name "Year";
  }
  station_desc {
    String description "station description, station location by grid and distance or text";
    String ioos_category "Unknown";
    String long_name "Station Desc";
  }
  station {
    String description "station number, generally consecutive with in cruise";
    String ioos_category "Identifier";
    String long_name "Station";
  }
  cast {
    String description "cast number, CTD rosette cast number";
    String ioos_category "Unknown";
    String long_name "Cast";
  }
  grid_line {
    String description "distance from the grid origin in the Northeast direction; (grid_line and grid_sta) define a point location within grid.  See grid notes below.";
    String ioos_category "Unknown";
    String long_name "Grid Line";
    String units "kilometers";
  }
  grid_sta {
    String description "distance from the grid origin in the Northeast direction; (grid_line and grid_sta) define a point location within grid.See grid notes below";
    String ioos_category "Unknown";
    String long_name "Grid Sta";
    String units "kilometers";
  }
  yrday_gmt {
    Float32 _FillValue NaN;
    Float32 actual_range 104.354, 255.296;
    String description "year day based on Julian Calendar";
    String ioos_category "Unknown";
    String long_name "Yrday Gmt";
    String units "YYY.Y";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -70.633, -64.129;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude, negative = South";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -77.762, -65.501;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude, negative = West";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  event {
    String description "event or operation number";
    String ioos_category "Unknown";
    String long_name "Event";
  }
  bottle {
    String description "bottle number";
    String ioos_category "Unknown";
    String long_name "Bottle";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range -1.3, 3670.1;
    String axis "Z";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "depth of sample, NBP0103 depths rounded to nearest whole meter";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  chl_a {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 199.746;
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String description "chlorophyll a";
    String ioos_category "Ocean Color";
    String long_name "Concentration Of Chlorophyll In Sea Water";
    String units "micrograms/liter";
  }
  phaeo {
    Float32 _FillValue NaN;
    Float32 actual_range -0.07, 29.41;
    String description "phaeopigment (the phaeopigment in this case is primarily phaeophytin a)";
    String ioos_category "Unknown";
    String long_name "Phaeo";
    String units "micrograms/liter";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Chlorophylls were dissolved in 90% acetone and measured using a Turner Designs
Digital 10-AU-05 Fluorometer.";
    String awards_0_award_nid "54667";
    String awards_0_award_number "ANT-9910175";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9910175";
    String awards_0_funder_name "NSF Antarctic Sciences";
    String awards_0_funding_acronym "NSF ANT";
    String awards_0_funding_source_nid "369";
    String awards_0_program_manager "Dr Polly  A Penhale";
    String awards_0_program_manager_nid "51478";
    String cdm_data_type "Other";
    String comment 
"Chlorophyll data from NBP0103 - M. Vernet, Principle Investigator 
   Changed event numbers for Offshore_of_CS1 to reflect truth.  mda  8/03/03 
   Added lat/lon (from eventlog) for stations 33 and 50. mda  8/03/03";
    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 2.2d  13 Jun 2019";
    String date_created "2009-11-25T16:53:51Z";
    String date_modified "2019-03-04T20:01:37Z";
    String defaultDataQuery "&time";
    String doi "10.1575/1912/bco-dmo.2356.1";
    Float64 Easternmost_Easting -65.501;
    Float64 geospatial_lat_max -64.129;
    Float64 geospatial_lat_min -70.633;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -65.501;
    Float64 geospatial_lon_min -77.762;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 3670.1;
    Float64 geospatial_vertical_min -1.3;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2019-06-25T09:48:02Z (local files)
2019-06-25T09:48:02Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_2356.das";
    String infoUrl "https://www.bco-dmo.org/dataset/2356";
    String institution "BCO-DMO";
    String instruments_0_acronym "Turner Fluorometer -10AU";
    String instruments_0_dataset_instrument_description "The instrument was calibrated using chlorophyll a standards from Sigma Chemicals as noted below.";
    String instruments_0_dataset_instrument_nid "4171";
    String instruments_0_description "The Turner Designs 10-AU Field Fluorometer is used to measure Chlorophyll fluorescence.  The 10AU Fluorometer can be set up for continuous-flow monitoring or discrete sample analyses. A variety of compounds can be measured using application-specific optical filters available from the manufacturer. (read more from Turner Designs, turnerdesigns.com, Sunnyvale, CA, USA)";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0393/";
    String instruments_0_instrument_name "Turner Designs Fluorometer -10-AU";
    String instruments_0_instrument_nid "464";
    String instruments_0_supplied_name "Turner Design Digital 10-AU-05 Fluorometer";
    String keywords "bco, bco-dmo, biological, bottle, cast, chemical, chemistry, chl_a, chlorophyll, color, concentration, concentration_of_chlorophyll_in_sea_water, cruiseid, data, dataset, depth, depth2, desc, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, erddap, event, grid, grid_line, grid_sta, identifier, latitude, line, longitude, management, ocean, ocean color, oceanography, oceans, office, phaeo, preliminary, science, sea, seawater, sta, station, station_desc, time, water, year, yrday, yrday_gmt";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, 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 metadata_source "https://www.bco-dmo.org/api/dataset/2356";
    Float64 Northernmost_Northing -64.129;
    String param_mapping "{'2356': {'lat': 'master - latitude', 'depth': 'flag - depth', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2356/parameters";
    String people_0_affiliation "University of California-San Diego";
    String people_0_affiliation_acronym "UCSD-SIO";
    String people_0_person_name "Dr Maria Vernet";
    String people_0_person_nid "50504";
    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 BCO-DMO";
    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 "U.S. GLOBEC Southern Ocean";
    String projects_0_acronym "SOGLOBEC";
    String projects_0_description "The fundamental objectives of United States Global Ocean Ecosystems Dynamics (U.S. GLOBEC) Program are dependent upon the cooperation of scientists from several disciplines. Physicists, biologists, and chemists must make use of data collected during U.S. GLOBEC field programs to further our understanding of the interplay of physics, biology, and chemistry. Our objectives require quantitative analysis of interdisciplinary data sets and, therefore, data must be exchanged between researchers. To extract the full scientific value, data must be made available to the scientific community on a timely basis.";
    String projects_0_geolocation "Southern Ocean";
    String projects_0_name "U.S. GLOBEC Southern Ocean";
    String projects_0_project_nid "2039";
    String projects_0_project_website "http://www.ccpo.odu.edu/Research/globec_menu.html";
    String projects_0_start_date "2001-01";
    String publisher_name "Ms Dicky Allison";
    String publisher_role "BCO-DMO Data Manager(s)";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -70.633;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Chlorophyll data from bottles, buckets, and ice from RVIB Nathaniel B. Palmer cruises NBP0103, NBP0104, NBP0202, and NBP0204 in the Southern Ocean from 2001-2002 (SOGLOBEC project)";
    String title "Chlorophyll data from bottles, buckets, and ice from RVIB Nathaniel B. Palmer cruises NBP0103, NBP0104, NBP0202, and NBP0204 in the Southern Ocean from 2001-2002 (SOGLOBEC project)";
    String version "1";
    Float64 Westernmost_Easting -77.762;
    String xml_source "osprey2erddap.update_xml() v1.5-beta";
  }
}

 

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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