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Dataset Title:	[ASPIRE Upper Water Column Inventories] - Biogeochemical inventories in the upper water column of the Pacific sector of the coastal Antarctic as measured on the Amundsen Sea Polynya International Research Expedition (ASPIRE) during December 2010 to January 2011 (Amundsen Sea Polynya International Research Expedition)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_1001499_v1)
Range:	longitude = -118.32 to -112.0°E, latitude = -73.96 to -71.86°N, depth = 0.7585 to 100.0m
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks vectors X Axis:  Station Event Cast Year_Day latitude longitude depth Poten_Temp Salinity DIC DIN DIP POC PON Part_P SiO4 DOC DON Chl_a Bacterial_biomass Nanoflagellate_biomass Ciliate_biomass Dinoflagellate_biomass Max_Macrozooplankton_biomass Primary_Production Community_Respiration Bacterial_Production Y Axis:  Station Event Cast Year_Day latitude longitude depth Poten_Temp Salinity DIC DIN DIP POC PON Part_P SiO4 DOC DON Chl_a Bacterial_biomass Nanoflagellate_biomass Ciliate_biomass Dinoflagellate_biomass Max_Macrozooplankton_biomass Primary_Production Community_Respiration Bacterial_Production Color:  Station Event Cast Year_Day latitude longitude depth Poten_Temp Salinity DIC DIN DIP POC PON Part_P SiO4 DOC DON Chl_a Bacterial_biomass Nanoflagellate_biomass Ciliate_biomass Dinoflagellate_biomass Max_Macrozooplankton_biomass Primary_Production Community_Respiration Bacterial_Production   Constraints Optional Constraint #1 Optional Constraint #2 Station Event Cast Date Year_Day latitude longitude ASP_num depth Poten_Temp Salinity DIC DIN DIP POC PON Part_P SiO4 DOC DON Chl_a Bacterial_biomass Nanoflagellate_biomass Ciliate_biomass Dinoflagellate_biomass Max_Macrozooplankton_biomass Primary_Production Community_Respiration Bacterial_Production     != =~ <= >= = < >     != =~ <= >= = < > Station Event Cast Date Year_Day latitude longitude ASP_num depth Poten_Temp Salinity DIC DIN DIP POC PON Part_P SiO4 DOC DON Chl_a Bacterial_biomass Nanoflagellate_biomass Ciliate_biomass Dinoflagellate_biomass Max_Macrozooplankton_biomass Primary_Production Community_Respiration Bacterial_Production     != =~ <= >= = < >     != =~ <= >= = < > Station Event Cast Date Year_Day latitude longitude ASP_num depth Poten_Temp Salinity DIC DIN DIP POC PON Part_P SiO4 DOC DON Chl_a Bacterial_biomass Nanoflagellate_biomass Ciliate_biomass Dinoflagellate_biomass Max_Macrozooplankton_biomass Primary_Production Community_Respiration Bacterial_Production     != =~ <= >= = < >     != =~ <= >= = < > Station Event Cast Date Year_Day latitude longitude ASP_num depth Poten_Temp Salinity DIC DIN DIP POC PON Part_P SiO4 DOC DON Chl_a Bacterial_biomass Nanoflagellate_biomass Ciliate_biomass Dinoflagellate_biomass Max_Macrozooplankton_biomass Primary_Production Community_Respiration Bacterial_Production     != =~ <= >= = < >     != =~ <= >= = < > Station Event Cast Date Year_Day latitude longitude ASP_num depth Poten_Temp Salinity DIC DIN DIP POC PON Part_P SiO4 DOC DON Chl_a Bacterial_biomass Nanoflagellate_biomass Ciliate_biomass Dinoflagellate_biomass Max_Macrozooplankton_biomass Primary_Production Community_Respiration Bacterial_Production     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Station Event Cast Date Year_Day latitude longitude ASP_num depth Poten_Temp Salinity DIC DIN DIP POC PON Part_P SiO4 DOC DON Chl_a Bacterial_biomass Nanoflagellate_biomass Ciliate_biomass Dinoflagellate_biomass Max_Macrozooplankton_biomass Primary_Production Community_Respiration Bacterial_Production Station Event Cast Date Year_Day latitude longitude ASP_num depth Poten_Temp Salinity DIC DIN DIP POC PON Part_P SiO4 DOC DON Chl_a Bacterial_biomass Nanoflagellate_biomass Ciliate_biomass Dinoflagellate_biomass Max_Macrozooplankton_biomass Primary_Production Community_Respiration Bacterial_Production Station Event Cast Date Year_Day latitude longitude ASP_num depth Poten_Temp Salinity DIC DIN DIP POC PON Part_P SiO4 DOC DON Chl_a Bacterial_biomass Nanoflagellate_biomass Ciliate_biomass Dinoflagellate_biomass Max_Macrozooplankton_biomass Primary_Production Community_Respiration Bacterial_Production Station Event Cast Date Year_Day latitude longitude ASP_num depth Poten_Temp Salinity DIC DIN DIP POC PON Part_P SiO4 DOC DON Chl_a Bacterial_biomass Nanoflagellate_biomass Ciliate_biomass Dinoflagellate_biomass Max_Macrozooplankton_biomass Primary_Production Community_Respiration Bacterial_Production ")   Graph Settings Marker Type:  None Plus X Dot Square Filled Square Circle Filled Circle Up Triangle Filled Up Triangle Borderless Filled Square Borderless Filled Circle Borderless Filled Up Triangle  Size:  3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Color:  Color Bar:  BlackBlueWhite BlackGreenWhite BlackRedWhite BlackWhite BlueWhiteRed BlueWideWhiteRed LightRainbow Ocean OceanDepth Rainbow Rainbow2 Rainfall ReverseRainbow RedWhiteBlue RedWhiteBlue2 RedWideWhiteBlue Spectrum Topography TopographyDepth WhiteBlueBlack WhiteGreenBlack WhiteRedBlack WhiteBlack YellowRed KT_algae KT_amp KT_balance KT_curl KT_deep KT_delta KT_dense KT_gray KT_haline KT_ice KT_matter KT_oxy KT_phase KT_solar KT_speed KT_tempo KT_thermal KT_turbid  Continuity:  Continuous Discrete  Scale:  Linear Log    Minimum:   Maximum:   N Sections:  2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 Draw land mask:  under over outline off Y Axis Minimum:   Maximum:    Ascending Descending Linear Log   Redraw the Graph (Please be patient. It may take a while to get the data.)   Optional: Then set the File Type: .asc .csv .csvp .csv0 .dataTable .das .dds .dods .esriCsv .fgdc .geoJson .graph .help .html .htmlTable .iso19115 .itx .json .jsonlCSV1 .jsonlCSV .jsonlKVP .mat .nc .ncHeader .ncCF .ncCFHeader .ncCFMA .ncCFMAHeader .nccsv .nccsvMetadata .ncoJson .odvTxt .subset .tsv .tsvp .tsv0 .wav .xhtml .kml .smallPdf .pdf .largePdf .smallPng .png .largePng .transparentPng (File Type information) and or view the URL: (Documentation / Bypass this form )

Click on the map to specify a new center point. Zoom:

 

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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:

• Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
• Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.
   

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Station {
    Int32 actual_range 5, 68;
    String long_name "Station";
    String units "unitless";
  }
  Event {
    Float32 actual_range 5.04, 68.01;
    String long_name "Event";
    String units "unitless";
  }
  Cast {
    Int32 actual_range 3, 87;
    String long_name "Cast";
    String units "unitless";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  Year_Day {
    Int32 actual_range 349, 373;
    String long_name "Year_day";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -73.96, -71.86;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -118.32, -112.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  ASP_num {
    String long_name "Asp_num";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 0.7585, 100.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Poten_Temp {
    Float32 actual_range -1.7942, -0.1315;
    String long_name "Poten_temp";
    String units "degrees C";
  }
  Salinity {
    Float32 actual_range 33.5028, 34.0845;
    String long_name "Salinity";
    String units "unitless";
  }
  DIC {
    Float32 actual_range 2093.72, 2273.529;
    String long_name "Dic";
    String units "micromoles C per liter (µmol C per L)";
  }
  DIN {
    Float32 actual_range 7.31, 31.84;
    String long_name "Din";
    String units "micromoles N per liter (µmol N per L)";
  }
  DIP {
    Float32 actual_range 0.626, 2.1;
    String long_name "Dip";
    String units "micromoles P per liter (µmol P per L)";
  }
  POC {
    Float32 actual_range 0.0, 78.17;
    String long_name "Poc";
    String units "micromoles C per liter (µmol C per L)";
  }
  PON {
    Float32 actual_range 0.04, 11.51;
    String long_name "Pon";
    String units "micromoles N per liter (µmol N per L)";
  }
  Part_P {
    Float32 actual_range 0.01, 0.561;
    String long_name "Part_p";
    String units "micromoles P per liter (µmol P per L)";
  }
  SiO4 {
    Float32 actual_range 63.5, 99.1;
    String long_name "Sio4";
    String units "micromoles Si per liter (µmol Si per L)";
  }
  DOC {
    Float32 actual_range 52.91, 126.74;
    String long_name "Doc";
    String units "micromoles C per liter (µmol C per L)";
  }
  DON {
    Float32 actual_range 0.0, 8.52;
    String long_name "Don";
    String units "micromoles N per liter (µmol N per L)";
  }
  Chl_a {
    Float32 actual_range 0.2, 21.79;
    String long_name "Chl_a";
    String units "micrograms chl a per liter (µg chl a per L)";
  }
  Bacterial_biomass {
    Float32 actual_range 0.37, 1.74;
    String long_name "Bacterial_biomass";
    String units "micromoles C per liter (µmol C per L)";
  }
  Nanoflagellate_biomass {
    Float32 actual_range 1.61e-4, 0.0709;
    String long_name "Nanoflagellate_biomass";
    String units "micromoles C per liter (µmol C per L)";
  }
  Ciliate_biomass {
    Float32 actual_range 0.01963667, 1.680408;
    String long_name "Ciliate_biomass";
    String units "micromoles C per liter (µmol C per L)";
  }
  Dinoflagellate_biomass {
    Float32 actual_range 0.2941275, 2.712217;
    String long_name "Dinoflagellate_biomass";
    String units "micromoles C per liter (µmol C per L)";
  }
  Max_Macrozooplankton_biomass {
    Float32 actual_range 1.85169e-5, 0.004846144;
    String long_name "Max_macrozooplankton_biomass";
    String units "micromoles C per liter (µmol C per L)";
  }
  Primary_Production {
    Float32 actual_range 0.2608333, 8.985;
    String long_name "Primary_production";
    String units "micromoles C per liter per day (µmol C per L per day)";
  }
  Community_Respiration {
    Float32 actual_range 1.728, 8.856;
    String long_name "Community_respiration";
    String units "micromoles C per liter per day (µmol C per L per day)";
  }
  Bacterial_Production {
    Float32 actual_range 0.003083333, 0.3331667;
    String long_name "Bacterial_production";
    String units "micromoles C per liter per day (µmol C per L per day)";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_url "https://www.bco-dmo.org/";
    String doi "10.26008/1912/bco-dmo.1001499.1";
    Float64 Easternmost_Easting -112.0;
    Float64 geospatial_lat_max -71.86;
    Float64 geospatial_lat_min -73.96;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -112.0;
    Float64 geospatial_lon_min -118.32;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 100.0;
    Float64 geospatial_vertical_min 0.7585;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2026-06-26T23:42:51Z (local files)
2026-06-26T23:42:51Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_1001499_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/1001499";
    String institution "BCO-DMO";
    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.";
    Float64 Northernmost_Northing -71.86;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -73.96;
    String summary "Polynyas, or recurring areas of seasonally open water surrounded by sea ice, are foci for energy and material transfer between the atmosphere and the polar ocean. They are also climate sensitive, with both sea ice extent and glacial melt influencing their productivity. The Amundsen Sea Polynya (ASP) is the greenest polynya in the Southern Ocean, with summertime chlorophyll a concentrations exceeding 20 micrograms per liter. During the Amundsen Sea Polynya International Research Expedition (ASPIRE) in the austral summer of 2010–11, we aimed to determine the fate of this high algal productivity. We collected water column profiles for total dissolved inorganic carbon (DIC) and nutrients, particulate and dissolved organic matter, chlorophyll a, mesozooplankton, and microbial biomass to make a carbon budget for this ecosystem. We also measured primary and secondary production, and community respiration rates. These data were reported as contour plots in Figures 5 through 10 of Yager et al. 2016 (doi: 10.12952/journal.elementa.000140).";
    String title "[ASPIRE Upper Water Column Inventories] - Biogeochemical inventories in the upper water column of the Pacific sector of the coastal Antarctic as measured on the Amundsen Sea Polynya International Research Expedition (ASPIRE) during December 2010 to January 2011 (Amundsen Sea Polynya International Research Expedition)";
    Float64 Westernmost_Easting -118.32;
  }
}

 

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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 Data Access Protocol (DAP) and its selection constraints.

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.

• (easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
• (easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
• (not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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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