BCO-DMO ERDDAP
Accessing BCO-DMO data
log in    
Brought to you by BCO-DMO    

ERDDAP > tabledap > Data Access Form ?

Dataset Title:  Inorganic nutrients (PO4, SiOH4, NO3, NO2, NH4) from R/V Knorr cruise KN207-01
from the southern tip of Nova Scotia to Bermuda in 2012 (SargassoSeaLipids
project)
Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_3985)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
   or a List of Values ?
   Maximum ?
 
 cast (integer) ?          4    79
 month_cast (mm (01 to 12)) ?          "04"    "05"
 day_cast (dd (01 to 31)) ?          "01"    "30"
 year (unitless) ?      
   - +  ?
 latitude (degrees_north) ?          32.9057    41.4503
  < slider >
 longitude (degrees_east) ?          -70.7507    -65.6853
  < slider >
 depth (m) ?          1.0    200.0
  < slider >
 PO4 (uM) ?          0.0    1.13
 SiOH4 (uM) ?          0.32    9.96
 NO3 (uM) ?          0.0    23.54
 NO2 (uM) ?          0.0    0.8
 NH4 (uM) ?          0.0    3.63
 
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")

File type: (more info)

(Documentation / Bypass this form ? )
 
(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  cast {
    Byte _FillValue 127;
    Byte actual_range 4, 79;
    String bcodmo_name "cast";
    String description "CTD cast number.";
    String long_name "Cast";
    String units "integer";
  }
  month_cast {
    String bcodmo_name "month_gmt";
    String description "2-digit month of the cast.";
    String long_name "Month Cast";
    String units "mm (01 to 12)";
  }
  day_cast {
    String bcodmo_name "day_gmt";
    String description "2-digit day of month of the cast.";
    String long_name "Day Cast";
    String units "dd (01 to 31)";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2012, 2012;
    String bcodmo_name "year";
    String description "4-digit year in YYYY format.";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 32.9057, 41.4503;
    String axis "Y";
    String bcodmo_name "lat_n";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Nominal latitude. Values indicate latitude at start of CTD cast. Positive = North.";
    String ioos_category "Location";
    String long_name "Latitude";
    String source_name "lat_nom";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -70.7507, -65.6853;
    String axis "X";
    String bcodmo_name "lon_n";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Nominal longitude. Values indicate longitude at start of CTD cast. Negative = West.";
    String ioos_category "Location";
    String long_name "Longitude";
    String source_name "lon_nom";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 1.0, 200.0;
    String axis "Z";
    String bcodmo_name "depth";
    String description "Sample depth, in meters.";
    String ioos_category "Location";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  PO4 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 1.13;
    String bcodmo_name "PO4";
    String description "PO4 concentration. Samples were NOT pre-concentrated with MAGIC.";
    String long_name "Mass Concentration Of Phosphate In Sea Water";
    String units "uM";
  }
  SiOH4 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.32, 9.96;
    String bcodmo_name "unknown";
    String description "SiOH4 concentration.";
    String long_name "Si OH4";
    String units "uM";
  }
  NO3 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 23.54;
    String bcodmo_name "NO3";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "NO3 concentration.";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/NTRAIGGS/";
    String units "uM";
  }
  NO2 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.8;
    String bcodmo_name "NO2";
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String description "NO2 concentration.";
    String long_name "Mole Concentration Of Nitrite In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/NTRIAAZX/";
    String units "uM";
  }
  NH4 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 3.63;
    String bcodmo_name "Ammonium";
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String description "NH4 concentration.";
    String long_name "Mole Concentration Of Ammonium In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AMONAAZX/";
    String units "uM";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Seawater was collected with Niskin bottles. Samples were pre-filtered though a
0.2 micrometer filter into and acid-washed HDPE bottle and frozen at -20
degrees C. Samples were shipped frozen to the University of Washington Marine
Chemistry Laboratory. Samples were analyzed in January 2013 on a Technicon
AAII Autoanalyzer.
 
Analytical methods (from
[http://www.ocean.washington.edu/story/Marine+Chemistry+Laboratory](\\\\\"http://www.ocean.washington.edu/story/Marine+Chemistry+Laboratory\\\\\")):
 Analysis | Method References | EPA/SM# | NELAC Code | 2011
Detection_Limits   
---|---|---|---|---  
PO4 | UNESCO(1994) | EPA 365.5_1.4_1997 | WM920270 | 0.03uM   
SiOH4 | UNESCO(1994) | EPA 366 | WM920240 | 0.76uM\\u00a0   
NO3 | UNESCO(1994) | EPA 353.4_2_199 | 10068209 | 0.08uM   
NO2 | UNESCO(1994) | EPA 353.4_2_1997 | 10068209 | 0.01uM   
NH4 | UNESCO(1994) | EPA 349 | WM920220 | 0.07uM   
Total N | Valderrama(1981) | SM 4500-P J | WM920270 | 1.08uM   
Total P | Valderrama(1981) | SM 4500-P J | WM920270 | 0.04uM";
    String awards_0_award_nid "54717";
    String awards_0_award_number "OCE-1031143";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1031143";
    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 "Donald L. Rice";
    String awards_0_program_manager_nid "51467";
    String cdm_data_type "Other";
    String comment 
"BLATZ-II inorganic nutrient analysis 
 PI: Ben Van Mooy (WHOI) 
 Version: 28 June 2013 
 NOTES: PO4 samples were NOT pre-concentrated with MAGIC; 
   BCO-DMO added date and lat/lon from CTD data.";
    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 "2013-06-28T20:57:57Z";
    String date_modified "2019-11-12T19:57:28Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.3985.1";
    Float64 Easternmost_Easting -65.6853;
    Float64 geospatial_lat_max 41.4503;
    Float64 geospatial_lat_min 32.9057;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -65.6853;
    Float64 geospatial_lon_min -70.7507;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 200.0;
    Float64 geospatial_vertical_min 1.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2021-04-22T10:08:47Z (local files)
2021-04-22T10:08:47Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3985.html";
    String infoUrl "https://www.bco-dmo.org/dataset/3985";
    String institution "BCO-DMO";
    String instruments_0_acronym "Nutrient Autoanalyzer";
    String instruments_0_dataset_instrument_description "Samples analyzed by Kathy Krogslund at University of Washington in January 2013 on Technicon AAII autoanalyzer.";
    String instruments_0_dataset_instrument_nid "6218";
    String instruments_0_description "Nutrient Autoanalyzer is a generic term used when specific type, make and model were not specified.  In general, a Nutrient Autoanalyzer is an automated flow-thru system for doing nutrient analysis (nitrate, ammonium, orthophosphate, and silicate) on seawater samples.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB04/";
    String instruments_0_instrument_name "Nutrient Autoanalyzer";
    String instruments_0_instrument_nid "558";
    String instruments_0_supplied_name "Nutrient Autoanalyzer";
    String keywords "ammonia, ammonium, bco, bco-dmo, biological, cast, chemical, chemistry, concentration, data, dataset, day, day_cast, depth, depth2, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Ammonia, Earth Science > Oceans > Ocean Chemistry > Nitrate, Earth Science > Oceans > Ocean Chemistry > Phosphate, erddap, latitude, longitude, management, mass, mass_concentration_of_phosphate_in_sea_water, mole, mole_concentration_of_ammonium_in_sea_water, mole_concentration_of_nitrate_in_sea_water, mole_concentration_of_nitrite_in_sea_water, month, month_cast, n02, nh4, nitrate, nitrite, NO2, no3, ocean, oceanography, oceans, office, oh4, phosphate, po4, preliminary, science, sea, seawater, SiOH4, water, year";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/3985/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/3985";
    Float64 Northernmost_Northing 41.4503;
    String param_mapping "{'3985': {'depth': 'flag - depth', 'lat_nom': 'flag - latitude', 'lon_nom': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3985/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Benjamin A.S. Van Mooy";
    String people_0_person_nid "50975";
    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 "Shannon Rauch";
    String people_1_person_nid "51498";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "SargassoSeaLipids";
    String projects_0_acronym "SargassoSeaLipids";
    String projects_0_description 
"Intact polar diacyglycerols (IP-DAGs) are the fatty-acid bearing lipid  molecules that compose bacterial and eukaryotic cell membranes. As such,  they are one of the most abundant classes of lipid molecules in  plankton, and play a major role in the marine carbon cycle. However,  until very recently, the molecular diversity of IP-DAGs was poorly  understood; the structural identity and characteristics of IP-DAGs were  inferred almost exclusively from their constituent fatty acids.  These  non-phosphorus containing IP-DAGs were largely unknown to chemical  oceanography. In contrast, phospholipids, which have been the focus of  considerable research, compose a disproportionally small fraction of  total IP-DAGs.  But we still lack even a cursory understanding of  biochemical functions and geochemical fates of non-phosphorus IP-DAGs.  Given that these molecules are among the most abundant lipid molecules  on the planet, this represents a profound and unexpected gap in our  understanding the marine carbon and phosphorus cycles.
In this  project, researchers at the Woods Hole Oceanographic Institution will  launch a pioneering study of these poorly understood compounds.  Their  approach will be guided by four questions:  (1) How do non-phosphorus  lipids contribute to variations in the C:N:P of particulate organic  matter in the Sargasso Sea?  (2) What are the relative degradation rates  of phospholipids and non-phosphorus lipids in surface waters?  (3)  Which groups of microbes utilize the carbon and phosphorus from  different IP-DAGs?  (4) What are the relative contributions of different  IP-DAGs to particulate organic matter export to the deep-sea? 
These  questions will be answered by using sophisticated HPLC/MS analyses and  novel isotope tracing approaches in conjunction with long-standing  methods for measuring the C:N:P of plankton and determining the  degradation rates of organic molecules.  The research team will  establish whether these newly-recognized sulfolipids and betaine lipids  molecules are a quantitatively important biochemical option for  phytoplankton to affect flexible C:N:P stoichiometry in the face of  nutrient stress. They will also elucidate the degradation rate,  microbial fate, and export potential of the carbon and phosphorus from  IP-DAGs. This will shed new light on the broader roles of these  molecules in the cycling of these elements by the planktonic community. 
This project contains components that are specifically  designed to meet the NSF criteria for \"advancing discovery and  understanding while promoting teaching, training and learning.\" The  project will support the training of a graduate student and postdoctoral  fellow. In addition, the research team will work with the non-profit  Zephyr Foundation in Woods Hole to design educational 'units' based on  the team's research that will be tailored to student in grades 6 - 12.  The Foundation will present these units as part of their hands-on marine  science field trip series that is delivered to over 200 students and  their teachers per year.";
    String projects_0_end_date "2013-08";
    String projects_0_geolocation "Sargasso Sea";
    String projects_0_name "Biogeochemical Impact and Fate of Non-phosphorus Membrane Lipids in the Sargasso Sea";
    String projects_0_project_nid "2189";
    String projects_0_start_date "2010-09";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 32.9057;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "year";
    String summary "Inorganic nutrients (PO4, SiOH4, NO3, NO2, NH4) from R/V Knorr cruise KN207-01 from the southern tip of Nova Scotia to Bermuda in 2012.";
    String title "Inorganic nutrients (PO4, SiOH4, NO3, NO2, NH4) from R/V Knorr cruise KN207-01 from the southern tip of Nova Scotia to Bermuda in 2012 (SargassoSeaLipids project)";
    String version "1";
    Float64 Westernmost_Easting -70.7507;
    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.


 
ERDDAP, Version 2.02
Disclaimers | Privacy Policy | Contact