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Dataset Title:  Particulate organic carbon and nitrogen measurements from water column sample
bottles, collected aboard Palmer LTER annual cruises off the Western Antarctic
Peninsula, 1991, 2018. Cruise PD94-01 not included in time series for lack of
samples
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Institution:  National Science Foundation   (Dataset ID: ParticulateOrganicCarbonandNitrogen)
Range: longitude = -78.90083 to -62.33633°E, latitude = -70.08833 to -63.0676°N, depth = 0.0 to 3735.0m, time = 1991-11-07T00:36:00Z to 2018-01-23T21:58:41Z
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 {
  study_name {
    String cf_role "trajectory_id";
    String column_name "studyName";
    String comment "Cruise name";
    String ioos_category "Identifier";
    String long_name "Study";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 6.8947416e+8, 1.516744721e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    Float64 column_id 388;
    String column_name "col_388";
    String ioos_category "Time";
    String long_name "Time";
    String lter_column_description "date and time";
    String lter_column_name "Datetime GMT";
    String lter_mscale "dateTime";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue 9.969209968386869e+36;
    Float64 actual_range -70.08833333, -63.0676;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    Float64 column_id 391;
    String column_name "col_391";
    String ioos_category "Location";
    String long_name "Latitude";
    String lter_column_description "latitude measured from the equator in decimal degrees, South is negative";
    String lter_column_name "Latitude";
    String lter_mscale "ratio";
    String lter_num_type "real";
    String lter_units "º";
    String lter_units_string "degree";
    String standard_name "latitude";
    String units "degrees_north";
    String units_conventions "EML-2.0.1,EML-2.1.0,EML-LTER";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue 9.969209968386869e+36;
    Float64 actual_range -78.90083, -62.33633;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    Float64 column_id 392;
    String column_name "col_392";
    String ioos_category "Location";
    String long_name "Longitude";
    String lter_column_description "longitude measured from the Prime Meridian in decimal degrees, West is negative";
    String lter_column_name "Longitude";
    String lter_mscale "ratio";
    String lter_num_type "real";
    String lter_units "º";
    String lter_units_string "degree";
    String standard_name "longitude";
    String units "degrees_east";
    String units_conventions "EML-2.0.1,EML-2.1.0,EML-LTER";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue 9.969209968386869e+36;
    Float64 actual_range 0.0, 3735.0;
    String axis "Z";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    Float64 column_id 395;
    String column_name "col_395";
    String ioos_category "Location";
    String long_name "Depth";
    String lter_column_description "measurement or sample collection distance from water column surface";
    String lter_column_name "Depth";
    String lter_mscale "ratio";
    String lter_num_type "real";
    String lter_units "m";
    String lter_units_string "meter";
    Float64 missing_value -999.0;
    String positive "down";
    String standard_name "depth";
    String units "m";
    String units_conventions "AND-LTER,BNZ-LTER,CDR-LTER,EML-2.0.1,EML-2.1.0,EML-LTER,LUQ-LTER,SGS-LTER";
  }
  grid_line {
    Int16 _FillValue -32767;
    Int16 actual_range -221, 711;
    Float64 column_id 389;
    String column_name "col_389";
    String ioos_category "Unknown";
    String long_name "Grid Line";
    String lter_column_description "line on a pre-defined survey grid in the LTER Palmer study area";
    String lter_column_name "Line";
    String lter_mscale "nominal";
  }
  station {
    Float64 _FillValue 9223372036854775807;
    Float64 actual_range -91, 260;
    Float64 column_id 390;
    String column_name "col_390";
    String ioos_category "Identifier";
    String long_name "Station";
    String lter_column_description "Palmer LTER sampling grid station";
    String lter_column_name "Station";
    String lter_mscale "nominal";
    String units "u2";
  }
  cast_number {
    Int16 _FillValue 32767;
    Int16 actual_range 1, 149;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    Float64 column_id 452;
    String column_name "col_452";
    String ioos_category "Statistics";
    String long_name "Cast Number";
    String lter_column_description "reference number for ship-based over-the-side deployed and lowered instrumentation";
    String lter_column_name "Cast";
    String lter_mscale "interval";
    String lter_num_type "natural";
    String lter_units_string "number";
    String units_conventions "EML-2.0.1,EML-2.1.0,EML-LTER";
  }
  bottle {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 50;
    Float64 column_id 453;
    String column_name "col_453";
    String ioos_category "Unknown";
    String long_name "Bottle";
    String lter_column_description "reference number of sample bottle from rosette";
    String lter_column_name "Bottle";
    String lter_mscale "interval";
    String lter_num_type "natural";
    String lter_units_string "number";
    String units_conventions "EML-2.0.1,EML-2.1.0,EML-LTER";
  }
  event {
    Int16 _FillValue 32767;
    Int16 actual_range 1, 1299;
    Float64 column_id 393;
    String column_name "col_393";
    String ioos_category "Unknown";
    String long_name "Event";
    String lter_column_description "sequence of cruise happenings ordered by time";
    String lter_column_name "Event";
    String lter_mscale "interval";
    String lter_num_type "real";
    String lter_units_string "number";
    String units_conventions "EML-2.0.1,EML-2.1.0,EML-LTER";
  }
  carbon {
    Float64 _FillValue 9.969209968386869e+36;
    Float64 actual_range 0.0, 199046.32;
    Float64 column_id 396;
    String column_name "col_396";
    String ioos_category "Unknown";
    String long_name "Carbon";
    String lter_column_description "a non-metallic element in the Periodic Table with Atomic Number 6, Atomic Weight 12.0107";
    String lter_column_name "Carbon";
    String lter_mscale "ratio";
    String lter_num_type "real";
    String lter_units "µg/L";
    String lter_units_string "microgramPerLiter";
    Float64 missing_value -999.0;
    String units "ug L-1";
    String units_conventions "ARC-LTER,EML-LTER,NTL-LTER,PIE-LTER";
  }
  nitrogen {
    Float64 _FillValue 9.969209968386869e+36;
    Float64 actual_range -7.76, 40279.69;
    Float64 column_id 397;
    String column_name "col_397";
    String ioos_category "Unknown";
    String long_name "Nitrogen";
    String lter_column_description "non-metallic element in the Periodic Table with Atomic Number 7, Atomic Weight 14.0067";
    String lter_column_name "Nitrogen";
    String lter_mscale "ratio";
    String lter_num_type "real";
    String lter_units "µg/L";
    String lter_units_string "microgramPerLiter";
    Float64 missing_value -999.0;
    String units "ug L-1";
    String units_conventions "ARC-LTER,EML-LTER,NTL-LTER,PIE-LTER";
  }
  irradiance {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 100;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    Float64 column_id 394;
    String column_name "col_394";
    String ioos_category "Unknown";
    String long_name "Irradiance";
    String lter_column_description "The ratio of two light measurements incident on horizontal surfaces at two locations.";
    String lter_column_name "Irradiance";
    String lter_mscale "ratio";
    String lter_num_type "real";
    String lter_units "%";
    String lter_units_string "percent";
    String units "percent";
    String units_conventions "BNZ-LTER,CAP-LTER,CDR-LTER,FCE-LTER,GCE-LTER,HBR-LTER,KNZ-LTER,MCM-LTER,NTL-LTER,NWT-LTER,PAL-LTER,PIE-LTER,SGS-LTER";
  }
  notes {
    Float64 column_id 1017;
    String column_name "col_1017";
    String ioos_category "Unknown";
    String long_name "Notes";
    String lter_column_description "text field to describe a log entry (ex. event log)";
    String lter_column_name "Notes";
    String lter_mscale "nominal";
  }
 }
  NC_GLOBAL {
    String _NCProperties "version=1|netcdflibversion=4.6.1|hdf5libversion=1.10.6";
    String acknowledgement "Funding and support provided by the National Science Foundation";
    String cdm_data_type "Trajectory";
    String cdm_trajectory_variables "study_name";
    String comment "The Palmer, Antarctica, Long-Term Ecological Research project is a member site of the Long-Term Ecological Research program, a network of sites investigating diverse biomes.  A team of researchers seeks to understand the structure and function of the Western Antarctic Peninsula's marine and terrestrial ecosystems in the context of seasonal-to-interannual atmospheric and sea ice dynamics, as well as long-term climate change. The PAL measurement system (or grid) is designed to study marine and terrestrial food webs consisting principally of diatom primary producers, the dominant herbivore Antarctic krill, and the apex predator Adelie penguin. An attenuated microbial food web is also a focus. PAL studies these ecosystems annually over a regional scale grid of oceanographic stations and seasonally at Palmer Station. \\n\\nPalmer Station is located on Anvers Island west of the Antarctic Peninula. The peninsula runs perpendicular to a strong climatic gradient between the cold, dry continental regime to the south, characteristic of the Antarctic interior, and the warm, moist, maritime regime to the north. North-south shifts in the gradient give rise to large environmental variability to climate change. Sea ice extent and variability affects ecosystem changes at all trophic levels.  In addition to the long-term field and research activities, information management, graduate student training,  education and outreach are an integral part of the program.";
    String contributor_email "hducklow@ldeo.columbia.edu,mvernet@ucsd.edu,prezelin@lifesci.ucsb.edu";
    String contributor_name "Hugh Ducklow,Maria Vernet,Barbara Prezelin";
    String contributor_role "PrincipalInvestigator,PrincipalInvestigator,PrincipalInvestigator";
    String contributor_role_vocabulary "https://vocab.nerc.ac.uk/collection/G04/current/";
    String Conventions "CF-1.8, ACDD-1.3, COARDS";
    String creator_country "USA";
    String creator_email "kerfoot@marine.rutgers.edu";
    String creator_institution "Rutgers University";
    String creator_name "John Kerfoot";
    String creator_sector "academic";
    String creator_type "person";
    String creator_url "https://rucool.marine.rutgers.edu";
    String datazoo_dataset_id "36";
    String datazoo_datatable_id "36";
    String datazoo_datatable_label "Particulate Organic Carbon and Nitrogen (Cruise)";
    String datazoo_datatable_name "ParticulateOrganicCarbonandNitrogen";
    String date_created "2022-03-22T22:37:24Z";
    String date_issued "2022-03-22T22:37:24Z";
    String defaultDataQuery "null";
    String doi "https://doi.org/10.6073/pasta/d2de255ff3e7c6538c9d49c69c0ad377";
    Float64 Easternmost_Easting -62.33633;
    String featureType "Trajectory";
    String geospatial_bounds_crs "EPSG:4326";
    String geospatial_bounds_vertical_crs "EPSG:5831";
    Float64 geospatial_lat_max -63.0676;
    Float64 geospatial_lat_min -70.08833333;
    String geospatial_lat_resolution "0.00001 degree";
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -62.33633;
    Float64 geospatial_lon_min -78.90083;
    String geospatial_lon_resolution "0.00001 degree";
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 3735.0;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"/Users/kerfoot/data/lter/data/tsv/dat_36/dat_36_PD97-01.tsv
2025-05-04T13:47:11Z (local files)
2025-05-04T13:47:11Z http://pallter-data.marine.rutgers.edu/tabledap/ParticulateOrganicCarbonandNitrogen.das";
    String infoUrl "https://pal.lternet.edu/";
    String institution "National Science Foundation";
    String keywords "biogeochemistry, biomass, carbon, decomposition, ecology, ecosystems, food webs, habitats, ice, marine, measurements, Organic Matter, organic matter, trophic dynamics";
    String keywords_vocabulary "LTER Core Areas,LTER Controlled Vocabulary";
    String license "All data contained herein is licensed under the LTER Network Data Access Policy (https://lternet.edu/data-access-policy/). In accordance with scientific publishing conventions and professional etiquette, the consumer of these data (the \"Data User\") is expected to appropriately cite these data in any publication that results from their use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur and should realize that misinterpretation of data may occur if used out of context of the original study. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the data authors. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available \"as is.\" The Data User should be aware that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data.";
    String license_link "https://lternet.edu/data-access-policy/";
    String naming_authority "edu.rutgers.rucool";
    Float64 Northernmost_Northing -63.0676;
    String product_version "1.0";
    String program "LTER";
    String project "Palmer LTER";
    String publisher_country "USA";
    String publisher_email "kerfoot@marine.rutgers.edu";
    String publisher_institution "Rutgers University";
    String publisher_name "John Kerfoot";
    String publisher_type "person";
    String publisher_url "https://rucool.marine.rutgers.edu";
    String references "https://pal.lternet.edu/";
    String sea_name "Southern Ocean";
    String source "/Users/kerfoot/data/lter/data/tsv/dat_36/dat_36_LMG98-01.tsv";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -70.08833333;
    String standard_name_vocabulary "CF Standard Name Table v77";
    String subsetVariables "study_name, grid_line, station, longitude, latitude";
    String summary "Particulate organic carbon and nitrogen measurements from water column sample bottles, collected aboard Palmer LTER annual cruises off the Western Antarctic Peninsula, 1991 - 2018. Cruise PD94-01 not included in time series for lack of samples. All organisms are composed of organic matter. Organic matter is synthesized from dissolved inorganic carbon (dissolved CO2) and inorganic nutrients by phytoplankton photosynthesis, and consumed (oxidized) by respiration by heterotrophs (zooplankton and bacteria). The organic matter in seawater is a variable mixture of dissolved and particulate organic matter (DOM and Princeton Ocean Model (POM)). Typically DOM predominates over POM by an order of magnitude, but the relative amount of POM can be highly enhanced during large phytoplankton blooms. The principal elemental components of POM include organic carbon (POC), organic nitrogen (PN), there is no particulate inorganic N) and phosphorus (POP). These elements exist in a relatively stable, characteristic ratio of 106:6:1 (C:N:P) in seawater, known as the Redfield Ratio. Marine particulate matter is a complex mixture of live and dead plankton and detritus, and of carbohydrates, proteins, lipids and nucleic acids. POC and PN are enhanced in the euphoric zone, reflecting their origin by photosynthesis. The particulate pool is also a complex assemblage of particles of different sizes, shapes and densities. A simplified scheme divides the particles into large, rapidly sinking particles (10s - 100s of meters per day) and smaller, suspended particles. The transition between small particles and dissolved organic matter is typically specified by filtration through GF/F filters. POC and PN are analyzed for samples in the upper 100 meters on all regular grid samples.";
    String time_coverage_end "2018-01-23T21:58:41Z";
    String time_coverage_start "1991-11-07T00:36:00Z";
    String title "Particulate organic carbon and nitrogen measurements from water column sample bottles, collected aboard Palmer LTER annual cruises off the Western Antarctic Peninsula, 1991, 2018. Cruise PD94-01 not included in time series for lack of samples";
    Float64 Westernmost_Easting -78.90083;
  }
}

 

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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