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Dataset Title:  [POM Concentrations] - Particulate organic matter (PON, POC, POP)
concentrations collected on R/V Roger Revelle cruise RR1604 along the
hydrographic line IO9 in the Eastern Indian Ocean from March to April
2016 (Collaborative Research: Regional variation of phytoplankton diversity and
biogeochemical functioning in the subtropical Indian Ocean)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_734915)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 Sample (unitless) ?          "IN-001"    "IN-238"
 Station (unitless) ?          "100"    "undrwy"
 latitude (degrees_north) ?          -31.0335    17.8831
  < slider >
 longitude (degrees_east) ?          84.7526    110.4547
  < slider >
 time (ISO Date Time UTC, UTC) ?          2016-03-22T04:00Z    2016-04-24T18:22Z
  < slider >
 Volume (liters) ?          4    8
 POC_Rep1 (micromolar (uM)) ?          1.4546    3.3829
 POC_Rep2 (micromolar (uM)) ?          1.4455    3.3689
 POC_Rep3 (micromolar (uM)) ?          0.825    3.1165
 PON_Rep1 (micromolar (uM)) ?          0.171    0.593
 PON_Rep2 (micromolar (uM)) ?          0.1746    0.4364
 PON_Rep3 (micromolar (uM)) ?          0.1399    0.42
 POP_Rep1 (nanomolar (nM)) ?          0.6801    2.9672
 POP_Rep2 (nanomolar (nM)) ?          0.9712    2.355
 POP_Rep3 (nanomolar (nM)) ?          0.6155    2.7026
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Sample {
    String bcodmo_name "sample";
    String description "Sample number";
    String long_name "Sample";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  Station {
    String bcodmo_name "station";
    String description "GO-SHIP I9N transect station";
    String long_name "Station";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -31.0335, 17.8831;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude";
    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 84.7526, 110.4547;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude";
    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";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.4586192e+9, 1.46152212e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Date and time of sample collection (UTC); formatted to ISO 8601 standard (yyyy-mm-ddTHH:MM)";
    String ioos_category "Time";
    String long_name "ISO Date Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String source_name "ISO_DateTime_UTC";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  Volume {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 4, 8;
    String bcodmo_name "vol_filt";
    String description "Volume of sea water filtered";
    String long_name "Volume";
    String units "liters";
  }
  POC_Rep1 {
    Float32 _FillValue NaN;
    Float32 actual_range 1.4546, 3.3829;
    String bcodmo_name "POC";
    String description "Particulate organic carbon replicate 1";
    String long_name "POC Rep1";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CORGCAP1/";
    String units "micromolar (uM)";
  }
  POC_Rep2 {
    Float32 _FillValue NaN;
    Float32 actual_range 1.4455, 3.3689;
    String bcodmo_name "POC";
    String description "Particulate organic carbon replicate 2";
    String long_name "POC Rep2";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CORGCAP1/";
    String units "micromolar (uM)";
  }
  POC_Rep3 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.825, 3.1165;
    String bcodmo_name "POC";
    String description "Particulate organic carbon replicate 3";
    String long_name "POC Rep3";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CORGCAP1/";
    String units "micromolar (uM)";
  }
  PON_Rep1 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.171, 0.593;
    String bcodmo_name "PON";
    String description "Particulate organic nitrogen replicate 1";
    String long_name "PON Rep1";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MDMAP013/";
    String units "micromolar (uM)";
  }
  PON_Rep2 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.1746, 0.4364;
    String bcodmo_name "PON";
    String description "Particulate organic nitrogen replicate 2";
    String long_name "PON Rep2";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MDMAP013/";
    String units "micromolar (uM)";
  }
  PON_Rep3 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.1399, 0.42;
    String bcodmo_name "PON";
    String description "Particulate organic nitrogen replicate 3";
    String long_name "PON Rep3";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MDMAP013/";
    String units "micromolar (uM)";
  }
  POP_Rep1 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.6801, 2.9672;
    String bcodmo_name "POP";
    String description "Particulate organic phosphorus replicate 1";
    String long_name "POP Rep1";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/OPHSVLPT/";
    String units "nanomolar (nM)";
  }
  POP_Rep2 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.9712, 2.355;
    String bcodmo_name "POP";
    String description "Particulate organic phosphorus replicate 2";
    String long_name "POP Rep2";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/OPHSVLPT/";
    String units "nanomolar (nM)";
  }
  POP_Rep3 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.6155, 2.7026;
    String bcodmo_name "POP";
    String description "Particulate organic phosphorus replicate 3";
    String long_name "POP Rep3";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/OPHSVLPT/";
    String units "nanomolar (nM)";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Water was collected from a circulating seawater system distributed via plastic
tubing for POC/PON/POP around 3m deep. An underway system was chosen to vastly
increase sampling coverage, replicate number, and sample volume. The water
intake is located near the ship sea chest, which may have missed particle
production in the subsurface. The circulating seawater was never turned off
during the entirety of the transect and kept at a constant flow. Water was
passed through a 30\\u03bcm nylon mesh (Small Parts #7050-1220-000-12) to
remove larger plankton and particles from the sample. Each replicate was
collected into a separate 8.5L plastic carboys (Thermo Scientific, Waltham,
Massachusetts). In between stations, carboys were rinsed with 30 \\u03bcm
filtered sample water just prior to collection. Six 8 L seawater samples were
divided into POC/PON and POP triplicates. Carboys were placed at ~45\\u00b0
angle to avoid particle settling below the nozzle. Each replicate was passed
through a 25 mm pre-combusted (500\\u00b0C for 5 h) GF/F filter (Whatman,
Florham Park, New Jersey) with a nominal pore size of 0.7 \\u03bcm. The vacuum
filtration was an in-line setup with 25 mm filter holders connected to an
aspirator pump at -0.08 MPa. POP filters were rinsed with 5 ml of 0.17 M
Na2SO4 to remove traces of dissolved phosphorus from the filter. All filters
were stored in pre-combusted aluminum packets and immediately frozen at
-80\\u00b0C during the cruise and -20\\u00b0C for shipment.
 
Particulate Organic Carbon/Nitrogen: Prior to analysis, the filters for POC
and PON were dried according to the JGOFS protocol1. The protocol has a
detection range of 0.43-43.13 \\u00b5M for POC and 0.037-7.39\\u00b5M for PON in
sea water1. First, the filters were dried in an incubator at 55\\u00b0C for
24-48 h and then stored in a desiccator with concentrated HCl fumes for 24 h
to remove inorganic carbonates. Secondly, the filters were dried again at
55\\u00b0C for 48 h before being folded and packed into pre-combusted tin
capsules (CE Elantech, Lakewood, New Jersey). The packaged filters are
analyzed on a CN FlashEA 1112 Elemental Analyzer (Thermo Scientific, Waltham,
Massachusetts) against an atropine standard curve (chemical formula
C17H23NO3).
 
Particulate Organic Phosphorus: Particulate organic phosphorus (POP) were
analyzed according to a modified ash-hydrolysis protocol2. Thawed filters were
placed in along with a corresponding standard curve of KH2PO4. 2 mL of 0.017M
MgSO4 was added to the acid-washed glass vials containing filters and covered
with pre-combusted aluminum foil. The vials were placed in an incubator at
90\\u00b0C for 24 h and then combusted (500\\u00b0C, 2 h). Once cooled, 5 mL 0.2
M HCl was added and incubated at 90\\u00b0C for at least 30 min. Next, the
supernatant plus 5 mL milli-Q water was mixed with 2:5:1:2 parts ammonium
molybdate tetrahydrate, 5N sulfuric acid, potassium antimonyl tartrate, and
ascorbic acid for 30 min. Finally the standards and samples were analyzed on a
spectrophotometer (Genesys 10vis, Thermo Scientific, Waltham, Massachusetts)
at a wavelength of 885 nm to determine POP concentration with an assay
detection limit ~0.1 nmol l-1.";
    String awards_0_award_nid "628977";
    String awards_0_award_number "OCE-1559002";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=1559002";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"POM Concentrations IO9N 
  PI: Adam Martiny (UC Irvine) 
  Co-PI: Michael W. Lomas (Bigelow) 
  Version History:  
    21 June 2018 - revised file; current version 
    02 May 2018 - original file (values rounded to 2 decimal places)";
    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 "2018-05-02T18:46:59Z";
    String date_modified "2019-03-15T19:18:08Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.734915.2";
    Float64 Easternmost_Easting 110.4547;
    Float64 geospatial_lat_max 17.8831;
    Float64 geospatial_lat_min -31.0335;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 110.4547;
    Float64 geospatial_lon_min 84.7526;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-23T17:17:52Z (local files)
2024-11-23T17:17:52Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_734915.html";
    String infoUrl "https://www.bco-dmo.org/dataset/734915";
    String institution "BCO-DMO";
    String instruments_0_acronym "Spectrophotometer";
    String instruments_0_dataset_instrument_description "Genesys 10vis spectrophotometer (#840-208100, Thermo Scientific, Waltham, Massachusetts)";
    String instruments_0_dataset_instrument_nid "734924";
    String instruments_0_description "An instrument used to measure the relative absorption of electromagnetic radiation of different wavelengths in the near infra-red, visible and ultraviolet wavebands by samples.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB20/";
    String instruments_0_instrument_name "Spectrophotometer";
    String instruments_0_instrument_nid "707";
    String instruments_0_supplied_name "Genesys 10vis spectrophotometer";
    String instruments_1_dataset_instrument_description "CN FlashEA 1112 Elemental Analyzer (Thermo Scientific, Waltham, Massachusetts)";
    String instruments_1_dataset_instrument_nid "734923";
    String instruments_1_description "Instruments that quantify carbon, nitrogen and sometimes other elements by combusting the sample at very high temperature and assaying the resulting gaseous oxides. Usually used for samples including organic material.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB01/";
    String instruments_1_instrument_name "Elemental Analyzer";
    String instruments_1_instrument_nid "546339";
    String instruments_1_supplied_name "CN FlashEA 1112 Elemental Analyzer";
    String keywords "bco, bco-dmo, biological, chemical, data, dataset, date, dmo, erddap, iso, latitude, longitude, management, oceanography, office, poc, POC_Rep1, POC_Rep2, POC_Rep3, pon, PON_Rep1, PON_Rep2, PON_Rep3, pop, POP_Rep1, POP_Rep2, POP_Rep3, preliminary, rep1, rep2, rep3, sample, station, time, volume";
    String license "https://www.bco-dmo.org/dataset/734915/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/734915";
    Float64 Northernmost_Northing 17.8831;
    String param_mapping "{'734915': {'Latitude': 'flag - latitude', 'Longitude': 'flag - longitude', 'ISO_DateTime_UTC': 'flag - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/734915/parameters";
    String people_0_affiliation "University of California-Irvine";
    String people_0_affiliation_acronym "UC Irvine";
    String people_0_person_name "Adam Martiny";
    String people_0_person_nid "51402";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Bigelow Laboratory for Ocean Sciences";
    String people_1_person_name "Michael W. Lomas";
    String people_1_person_nid "50776";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Shannon Rauch";
    String people_2_person_nid "51498";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "IO Phytoplankton";
    String projects_0_acronym "IO Phytoplankton";
    String projects_0_description 
"Description from NSF award abstract:
The Indian Ocean accounts for nearly a fifth of global ocean photosynthesis and is likely a key component in global ocean nutrient and carbon cycles. However, the Indian Ocean may be the least studied major marine body on the planet. Our limited understanding suggests extensive variations in physical and chemical environmental conditions, but how this variation influences biodiversity, nutrient stress, and more broadly regional differences in the functioning of phytoplankton is unknown. To help address these gaps, the investigators will conduct a study by joining an already-funded major research cruise to this region. It will cover a northern region with some of the highest temperatures recorded in open ocean waters, an area around 10°S of predicted (but not tested in situ) iron stress, and a southern subtropical gyre with unique nitrogen to phosphorous(or N:P) ratios. The focus of this project is to quantify and synthesize the interconnectedness of environmental conditions, phytoplankton diversity and genome content, and nutrient biogeochemistry, with the goal of understanding how these may lead to unique biogeochemical regions in Indian Ocean. The research will have broader impacts on many levels. First, it will increase public awareness of the role of phytoplankton on ocean functioning, climate, and people's lives through a new partnership with the Aquarium of the Pacific (AOP), which is the fourth most-attended aquarium in the nation. Secondly, the project will train a postdoctoral scholar as well as a graduate and undergraduate students. Third, the research will dramatically increase our basic knowledge ocean biogeochemistry and in many cases will be the first measurements of their kind made in the Indian Ocean.
This project will address two major questions: How do environmental conditions, phytoplankton diversity, phytoplankton physiology, and biogeochemistry vary across the central Indian Ocean? Are there distinct biogeochemical regimes in the central IO? The researchers hypothesize that environmental conditions, including the relative availability of nitrogen (N) and iron (Fe), lead to three distinct phytoplankton communities and biogeochemical regimes. They will employ a series of advanced analytical tools including high sensitivity measurements of dissolved and particulate nutrients (nitrogen, phosphorus, and iron), genomics, bioassays to test for nutrient stress, and cell-sorting of specific taxa followed by measures of nutrient content and uptake. A focus of this project is to quantify and synthesize the interconnectedness of environmental conditions, phytoplankton diversity and genome content, and nutrient biogeochemistry, and how these lead to unique biogeochemical regions in Indian Ocean. This extensive set of observations can ultimately be linked to ocean models and satellite data to provide a comprehensive view of regional differences in chemistry, biodiversity and phytoplankton biogeochemical functioning in the Indian Ocean.";
    String projects_0_end_date "2018-01";
    String projects_0_geolocation "GO-SHIP IO9N transect:   20S 95E to 20N 95E";
    String projects_0_name "Collaborative Research: Regional variation of phytoplankton diversity and biogeochemical functioning in the subtropical Indian Ocean";
    String projects_0_project_nid "628972";
    String projects_0_start_date "2016-02";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -31.0335;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Particulate organic matter (PON, POC, POP) concentrations collected on R/V Roger Revelle cruise RR1604 along the hydrographic line IO9 in the Eastern Indian Ocean from March to April 2016.";
    String time_coverage_end "2016-04-24T18:22Z";
    String time_coverage_start "2016-03-22T04:00Z";
    String title "[POM Concentrations] - Particulate organic matter (PON, POC, POP) concentrations collected on R/V Roger Revelle cruise RR1604 along the hydrographic line IO9 in the Eastern Indian Ocean from March to April 2016 (Collaborative Research: Regional variation of phytoplankton diversity and biogeochemical functioning in the subtropical Indian Ocean)";
    String version "2";
    Float64 Westernmost_Easting 84.7526;
    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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