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Dataset Title:  Vertical fluxes of particulate carbon, nitrogen and phosphorus from a sediment
trap deployed west of Palmer Station, Antarctica at a depth of 170 meters, 1992-
present.
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Institution:  National Science Foundation   (Dataset ID: OffshoreSedimentTrapFluxes)
Range: time = 1992-11-10T00:00:00Z to 2013-01-27T00:00:00Z
Information:  Summary ? | License ? | 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 column_name "studyName";
    String comment "Cruise name";
    String ioos_category "Identifier";
    String long_name "Study";
  }
  record_number {
    Int16 _FillValue 32767;
    Int16 actual_range 1, 427;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    Float64 column_id 306;
    String column_name "col_306";
    String ioos_category "Statistics";
    String long_name "Record Number";
    String lter_column_description "record number of a sampling event";
    String lter_column_name "Record";
    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";
  }
  deployment_number {
    Int16 _FillValue 32767;
    Int16 actual_range 1, 21;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    Float64 column_id 307;
    String column_name "col_307";
    String ioos_category "Statistics";
    String long_name "Deployment Number";
    String lter_column_description "deployment number";
    String lter_column_name "Deployment";
    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";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 7.213536e+8, 1.3592448e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    Float64 column_id 313;
    String column_name "col_313";
    String ioos_category "Time";
    String long_name "Time";
    String lter_column_description "date in GMT";
    String lter_column_name "Mid-date";
    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";
  }
  start_date {
    Float64 actual_range 7.210944e+8, 1.3589856e+9;
    String calendar "proleptic_gregorian";
    Float64 column_id 310;
    String column_name "col_310";
    String ioos_category "Time";
    String long_name "Start Date";
    String lter_column_description "date in GMT";
    String lter_column_name "Start Date";
    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";
  }
  end_date {
    Float64 actual_range 7.216992e+8, 1.3595904e+9;
    String calendar "proleptic_gregorian";
    Float64 column_id 311;
    String column_name "col_311";
    String ioos_category "Time";
    String long_name "End Date";
    String lter_column_description "date in GMT";
    String lter_column_name "End Date";
    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";
  }
  trap_id {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 4;
    Float64 column_id 308;
    String column_name "col_308";
    String ioos_category "Identifier";
    String long_name "Trap Id";
    String lter_column_description "identification number of sediment trap cup";
    String lter_column_name "Trap";
    String lter_mscale "interval";
    String lter_num_type "integer";
    String lter_units_string "number";
    String units_conventions "EML-2.0.1,EML-2.1.0,EML-LTER";
  }
  cup_number {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 21;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    Float64 column_id 309;
    String column_name "col_309";
    String ioos_category "Statistics";
    String long_name "Cup Number";
    String lter_column_description "identification number of sediment trap cup";
    String lter_column_name "Cup";
    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";
  }
  duration {
    Float64 _FillValue 9.969209968386869e+36;
    Float64 actual_range 4.0, 92.0;
    Float64 column_id 312;
    String column_name "col_312";
    String ioos_category "Unknown";
    String long_name "Duration";
    String lter_column_description "measure of the passing of time";
    String lter_column_name "Duration";
    String lter_mscale "ratio";
    String lter_num_type "natural";
    String lter_units_string "nominalDay";
    String units_conventions "AND-LTER,EML-2.0.1,EML-2.1.0,EML-LTER,SGS-LTER";
  }
  carbon_flux {
    Float64 _FillValue 9.969209968386869e+36;
    Float64 actual_range -9998.0, 123.69;
    Float64 column_id 314;
    String column_name "col_314";
    String ioos_category "CO2";
    String long_name "Carbon Flux";
    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 Flux";
    String lter_mscale "ratio";
    String lter_num_type "real";
    String lter_units "mg/m²/day";
    String lter_units_string "milligramPerMeterSquaredPerDay";
    String units "mg m-2 day-1";
    String units_conventions "HFR-LTER,PAL-LTER,SBC-LTER";
  }
  nitrogen_flux {
    Float64 _FillValue 9.969209968386869e+36;
    Float64 actual_range -9998.0, 15.9;
    Float64 column_id 315;
    String column_name "col_315";
    String ioos_category "Time";
    String long_name "Nitrogen Flux";
    String lter_column_description "non-metallic element in the Periodic Table with Atomic Number 7, Atomic Weight 14.0067";
    String lter_column_name "Nitrogen Flux";
    String lter_mscale "ratio";
    String lter_num_type "real";
    String lter_units "mg/m²/day";
    String lter_units_string "milligramPerMeterSquaredPerDay";
    String units "mg m-2 day-1";
    String units_conventions "HFR-LTER,PAL-LTER,SBC-LTER";
  }
  phosphorous_flux {
    Float64 _FillValue 9.969209968386869e+36;
    Float64 actual_range -9998.0, 1.17;
    Float64 column_id 316;
    String column_name "col_316";
    String ioos_category "Time";
    String long_name "Phosphorous Flux";
    String lter_column_description "a non-metallic element in the Periodic Table with Atomic Number 15, Atomic Weight 30.973762";
    String lter_column_name "Phosphorus Flux";
    String lter_mscale "ratio";
    String lter_num_type "real";
    String lter_units "mg/m²/day";
    String lter_units_string "milligramPerMeterSquaredPerDay";
    String units "mg m-2 day-1";
    String units_conventions "HFR-LTER,PAL-LTER,SBC-LTER";
  }
  notes {
    Float64 column_id 3855;
    String column_name "col_3855";
    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 "Other";
    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,sharon.stammerjohn@colorado.edu,dkarl@hawaii.edu,chriscarri@yahoo.com";
    String contributor_name "Hugh Ducklow,Sharon Stammerjohn,David Karl,Christopher Carrillo";
    String contributor_role "PrincipalInvestigator,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 "26";
    String datazoo_datatable_id "26";
    String datazoo_datatable_label "Offshore Sediment Trap Fluxes";
    String datazoo_datatable_name "OffshoreSedimentTrapFluxes";
    String date_created "2021-08-04T18:17:56Z";
    String date_issued "2021-08-04T18:17:56Z";
    String defaultDataQuery "null";
    String defaultGraphQuery "time,carbon_flux&.draw=markers&.marker=6%7C5&.color=0x000000&.colorBar=%7C%7C%7C%7C%7C&.bgColor=0xffccccff&.yRange=0%7C%7Ctrue%7C";
    String doi "https://doi.org/10.6073/pasta/c0a2d3a87876ff3baddad20343b6483d";
    String geospatial_bounds_crs "EPSG:4326";
    String geospatial_bounds_vertical_crs "EPSG:5831";
    String geospatial_lat_resolution "0.00001 degree";
    String geospatial_lat_units "degree_north";
    String geospatial_lon_resolution "0.00001 degree";
    String geospatial_lon_units "degree_east";
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "EPSG:5831";
    String history 
"local files
2025-05-04T13:13:14Z (local files)
2025-05-04T13:13:14Z http://pallter-data.marine.rutgers.edu/tabledap/OffshoreSedimentTrapFluxes.das";
    String infoUrl "https://pal.lternet.edu/";
    String institution "National Science Foundation";
    String keywords "carbon flux, nitrogen flux, Organic Matter, organic matter, particulate organic carbon, sediments, Signature";
    String keywords_vocabulary "LTER Controlled Vocabulary,LTER Core Areas";
    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 methods "Samping Methods: Palmer LTER deploys a McLane Mark IV PARFLUX 21H sediment trap. This is the same design and deployment protocol employed by the former US JGOFS Time Series sites at Bermuda in the Ocean Flux Program (http://ecosystems.mbl.edu/conte/ofp/)\\t";
    String naming_authority "edu.rutgers.rucool";
    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 "local files";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v77";
    String subsetVariables "study_name";
    String summary "Particulate organic matter is exported from the upper ocean euphotic zone in the form of large sinking particles and as dissolved material. Particle fluxes to depth link the surface and mesopelagic realm and supply food to the benthos. Sedimentation flux is typically measured with sediment traps of various designs. Palmer LTER has deployed a time-series trap near 64.5degrees S, 66.0degrees W since late 1992. The trap is moored in 300 m depth and collects sinking particles at 150 m. Deployments and analyses were performed by David Karl, University of Hawaii until 2002 when Hugh Ducklow took over the sediment trap operations.Sedimentation at the PAL site of the West Antarctic Peninsula demonstrates extreme seasonality, with a well-defined pulse in the Austral summer following sea ice retreat. Daily sedimentation rates during the summer flux event are among the highest recorded globally. During the Austral winter when the ocean is covered by sea ice and shrouded in darkness, fluxes are among the lowest observed anywhere. Sedimentation rates at PAL typically vary by 4 orders of magnitude. There is also order of magnitude variability in the total annual flux (area under the curve)..Particulate organic matter is exported from the upper ocean euphotic zone in the form of large sinking particles and as dissolved material. Particle fluxes to depth link the surface and mesopelagic realm and supply food to the benthos. Sedimentation flux is typically measured with sediment traps of various designs. Palmer LTER has deployed a time-series trap near 64.5degrees S, 66.0degrees W since late 1992. The trap is moored in 300 m depth and collects sinking particles at 150 m. Deployments and analyses were performed by David Karl, University of Hawaii until 2002 when Hugh Ducklow took over the sediment trap operations.Sedimentation at the PAL site of the West Antarctic Peninsula demonstrates extreme seasonality, with a well-defined pulse in the Austral summer following sea ice retreat. Daily sedimentation rates during the summer flux event are among the highest recorded globally. During the Austral winter when the ocean is covered by sea ice and shrouded in darkness, fluxes are among the lowest observed anywhere. Sedimentation rates at PAL typically vary by 4 orders of magnitude. There is also order of magnitude variability in the total annual flux (area under the curve)..Particulate organic matter is exported from the upper ocean euphotic zone in the form of large sinking particles and as dissolved material. Particle fluxes to depth link the surface and mesopelagic realm and supply food to the benthos. Sedimentation flux is typically measured with sediment traps of various designs. Palmer LTER has deployed a time-series trap near 64.5degrees S, 66.0degrees W since late 1992. The trap is moored in 300 m depth and collects sinking particles at 150 m. Deployments and analyses were performed by David Karl, University of Hawaii until 2002 when Hugh Ducklow took over the sediment trap operations.Sedimentation at the PAL site of the West Antarctic Peninsula demonstrates extreme seasonality, with a well-defined pulse in the Austral summer following sea ice retreat. Daily sedimentation rates during the summer flux event are among the highest recorded globally. During the Austral winter when the ocean is covered by sea ice and shrouded in darkness, fluxes are among the lowest observed anywhere. Sedimentation rates at PAL typically vary by 4 orders of magnitude. There is also order of magnitude variability in the total annual flux (area under the curve).";
    String time_coverage_end "2013-01-27T00:00:00Z";
    String time_coverage_start "1992-11-10T00:00:00Z";
    String title "Vertical fluxes of particulate carbon, nitrogen and phosphorus from a sediment trap deployed west of Palmer Station, Antarctica at a depth of 170 meters, 1992-present.";
  }
}

 

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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