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Dataset Title:  Nitrogen fixation rates from samples collected in the Chukchi Sea, Arctic
Ocean near Barrow, Alaska in August of 2011 (ArcticNITRO project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_701789)
Range: longitude = -157.0625 to -156.65833°E, latitude = 71.11889 to 71.34444°N, depth = 0.0 to 8.0m, time = 2011-08-16T03:10Z to 2011-08-21T04:18Z
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | 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 {
  Sample_ID {
    String bcodmo_name "sample";
    String description "Station number (name)";
    String long_name "Sample ID";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  Date_local {
    String bcodmo_name "date";
    String description "Date of sample collection (time zone AKDT, UTC-8)";
    String long_name "Date Local";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  Time_local {
    String bcodmo_name "time";
    String description "Time of sample collection (time zone AKDT, UTC-8)";
    String long_name "Time Local";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.3134642e+9, 1.31390028e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Date and time of sample collection (UTC) in ISO 8601:2004(E) format YYYY-MM-DDThh:mmZ";
    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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 71.11889, 71.34444;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude of sample collection";
    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 -157.0625, -156.65833;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude of sample collection; West is negative";
    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";
  }
  Depth {
    Float32 _FillValue NaN;
    Float32 actual_range 8.0, 17.5;
    String bcodmo_name "depth_w";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Water Column Depth (Bottom depth)";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters (m)";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 8.0;
    String axis "Z";
    String bcodmo_name "depth";
    String description "Depth of sample collection";
    String ioos_category "Location";
    String long_name "Collection Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Size_fraction {
    String bcodmo_name "sample_descrip";
    String description "Size Fraction";
    String long_name "Size Fraction";
    String units "micrometer (um)";
  }
  Temperature {
    Float32 _FillValue NaN;
    Float32 actual_range 4.5, 6.7;
    String bcodmo_name "temperature";
    String description "Temperature";
    String long_name "Temperature";
    String units "degrees Celsius";
  }
  Salinity {
    Float32 _FillValue NaN;
    Float32 actual_range 12.0, 30.5;
    String bcodmo_name "sal";
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "Salinity";
    String long_name "Sea Water Practical Salinity";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "Practical Salinity Units (PSU)";
  }
  N_Fixation_Rate_Absolute {
    Float32 _FillValue NaN;
    Float32 actual_range 0.3, 12.6;
    String bcodmo_name "N2_fix";
    String description "Absolute Nitrogen fixation rate";
    String long_name "N Fixation Rate Absolute";
    String units "micromoles per liter per hour (umol/L/h)";
  }
  Nitrogen_Fixation_Rate_SE {
    Float32 _FillValue NaN;
    Float32 actual_range 0.2, 6.1;
    String bcodmo_name "N2_fix";
    String description "Nitrogen fixation rate standard error";
    String long_name "Nitrogen Fixation Rate SE";
    String units "micromoles per liter per hour (umol/L/h)";
  }
  Ammonium {
    Float32 _FillValue NaN;
    Float32 actual_range 0.1, 1.55;
    String bcodmo_name "Ammonium";
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String description "Ammonium concentration [NH4]";
    String long_name "Mole Concentration Of Ammonium In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AMONAAZX/";
    String units "micromolar (umol/L)";
  }
  Ammonium_SD {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.07;
    String bcodmo_name "Ammonium";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Ammonium concentration [NH4] standard deviation";
    String long_name "Ammonium SD";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AMONAAZX/";
    String units "micromolar (umol/L)";
  }
  Nitrate {
    Float32 _FillValue NaN;
    Float32 actual_range 0.21, 0.59;
    String bcodmo_name "NO3";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Nitrate concentration [NO3]";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/NTRAIGGS/";
    String units "micromolar (umol/L)";
  }
  Nitrate_SD {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.01;
    String bcodmo_name "NO2";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Nitrate concentration [NO3] standard deviation";
    String long_name "Nitrate SD";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/NTRIAAZX/";
    String units "micromolar (umol/L)";
  }
  Phosphate {
    Float32 _FillValue NaN;
    Float32 actual_range 0.17, 0.55;
    String bcodmo_name "PO4";
    String description "Phosphate concentration [PO4]";
    String long_name "Mass Concentration Of Phosphate In Sea Water";
    String units "micromolar (umol/L)";
  }
  Phosphate_SD {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.01;
    String bcodmo_name "PO4";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Phosphate concentration [PO4] standard deviation";
    String long_name "Phosphate SD";
    String units "micromolar (umol/L)";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Nitrogen fixation rates were calculated according to Montoya et al. (1996) and
are reported as the average +- the standard error for each site (n=3).
Sampling methodology and other analytical procedures are described in detail
in Baer et al (2017).";
    String awards_0_award_nid "535525";
    String awards_0_award_number "PLR-0909839";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=0909839";
    String awards_0_funder_name "NSF Arctic Sciences";
    String awards_0_funding_acronym "NSF ARC";
    String awards_0_funding_source_nid "390";
    String awards_0_program_manager "Henrietta N Edmonds";
    String awards_0_program_manager_nid "51517";
    String cdm_data_type "Other";
    String comment 
"Arctic Nitrogen Fixation Rates 
  PI: Rachel Sipler 
   data version: 02 Jun 2017";
    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 "2017-06-02T16:19:59Z";
    String date_modified "2018-10-03T19:26:21Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.704528";
    Float64 Easternmost_Easting -156.65833;
    Float64 geospatial_lat_max 71.34444;
    Float64 geospatial_lat_min 71.11889;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -156.65833;
    Float64 geospatial_lon_min -157.0625;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 8.0;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-04-20T09:48:07Z (local files)
2024-04-20T09:48:07Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_701789.das";
    String infoUrl "https://www.bco-dmo.org/dataset/701789";
    String institution "BCO-DMO";
    String instruments_0_acronym "UV Spectrophotometer-Shimadzu";
    String instruments_0_dataset_instrument_description "Ammonium concentrations were measured on a Shimadzu UV-1601 spectrophotometer.";
    String instruments_0_dataset_instrument_nid "704310";
    String instruments_0_description "The Shimadzu UV Spectrophotometer is manufactured by Shimadzu Scientific Instruments (ssi.shimadzu.com). Shimadzu manufacturers several models of spectrophotometer; refer to dataset for make/model information.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB20/";
    String instruments_0_instrument_name "UV Spectrophotometer-Shimadzu";
    String instruments_0_instrument_nid "595";
    String instruments_0_supplied_name "Shimadzu UV-1601 spectrophotometer";
    String instruments_1_acronym "FIA";
    String instruments_1_dataset_instrument_description "Nitrate and phosphate were measured using a Lachat QuikChem 8500 autoanalyzer.";
    String instruments_1_dataset_instrument_nid "704311";
    String instruments_1_description "An instrument that performs flow injection analysis. Flow injection analysis (FIA) is an approach to chemical analysis that is accomplished by injecting a plug of sample into a flowing carrier stream. FIA is an automated method in which a sample is injected into a continuous flow of a carrier solution that mixes with other continuously flowing solutions before reaching a detector. Precision is dramatically increased when FIA is used instead of manual injections and as a result very specific FIA systems have been developed for a wide array of analytical techniques.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB36/";
    String instruments_1_instrument_name "Flow Injection Analyzer";
    String instruments_1_instrument_nid "657";
    String instruments_1_supplied_name "Lachat QuickChem 8500 autoanalyzer";
    String instruments_2_acronym "Mass Spec";
    String instruments_2_dataset_instrument_description "Isotopic measurements for 15N fixation rates were analyzed on a Europa GEO 20/20 mass spectrometer with an ANCA-SL autosampler.";
    String instruments_2_dataset_instrument_nid "704309";
    String instruments_2_description "General term for instruments used to measure the mass-to-charge ratio of ions; generally used to find the composition of a sample by generating a mass spectrum representing the masses of sample components.";
    String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB16/";
    String instruments_2_instrument_name "Mass Spectrometer";
    String instruments_2_instrument_nid "685";
    String instruments_2_supplied_name "Europa GEO 20/20";
    String keywords "absolute, ammonia, ammonium, Ammonium_SD, bco, bco-dmo, biological, chemical, chemistry, collection, Collection_Depth, concentration, data, dataset, date, Date_local, density, depth, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Ammonia, Earth Science > Oceans > Ocean Chemistry > Nitrate, Earth Science > Oceans > Ocean Chemistry > Phosphate, Earth Science > Oceans > Salinity/Density > Salinity, erddap, fixation, fraction, iso, latitude, local, 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, n02, N_Fixation_Rate_Absolute, nh4, nitrate, Nitrate_SD, nitrogen, Nitrogen_Fixation_Rate_SE, no3, ocean, oceanography, oceans, office, phosphate, Phosphate_SD, po4, practical, preliminary, rate, salinity, sample, Sample_ID, science, sea, sea_water_practical_salinity, seawater, size, Size_fraction, temperature, time, Time_local, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/701789/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/701789";
    Float64 Northernmost_Northing 71.34444;
    String param_mapping "{'701789': {'Latitude': 'flag - latitude', 'Collection_Depth': 'flag - depth', 'Longitude': 'flag - longitude', 'ISO_DateTime_UTC': 'flag - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/701789/parameters";
    String people_0_affiliation "Virginia Institute of Marine Science";
    String people_0_affiliation_acronym "VIMS";
    String people_0_person_name "Rachel E. Sipler";
    String people_0_person_nid "473372";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Virginia Institute of Marine Science";
    String people_1_affiliation_acronym "VIMS";
    String people_1_person_name "Deborah A. Bronk";
    String people_1_person_nid "50574";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "University of Georgia";
    String people_2_affiliation_acronym "UGA";
    String people_2_person_name "Patricia L. Yager";
    String people_2_person_nid "51130";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "Virginia Institute of Marine Science";
    String people_3_affiliation_acronym "VIMS";
    String people_3_person_name "Rachel E. Sipler";
    String people_3_person_nid "473372";
    String people_3_role "Contact";
    String people_3_role_type "related";
    String people_4_affiliation "Woods Hole Oceanographic Institution";
    String people_4_affiliation_acronym "WHOI BCO-DMO";
    String people_4_person_name "Amber York";
    String people_4_person_nid "643627";
    String people_4_role "BCO-DMO Data Manager";
    String people_4_role_type "related";
    String project "ArcticNITRO";
    String projects_0_acronym "ArcticNITRO";
    String projects_0_description 
"The Arctic is changing. Warm air is melting the sea ice at an accelerating pace, impacting the marine ecosystem. Further changes on land mean higher river discharge, rising seas, thawing of permafrost, and coastal erosion.
For the Arctic continental shelf, these physical changes impact the creatures that live there in major ways, ultimately altering the pathways and magnitude of energy transfer to fish, sea birds and marine mammals, and impacting the people dependant on those resources.  Our challenge today is to understand what is happening in specific Arctic ecosystems to assess future change.  
Understanding the microorganisms in Arctic coastal ecosystems is important because microbes dominate the biological biomass, production, and remineralization in marine systems. They are the \"composters.\" Microbes are also the major producers and consumers of carbon dioxide and other greenhouse gases.
This study is focused on the climate-sensitive relationship between these microbes -- particularly the competition for nitrogen between phytoplankton/algae and bacteria -- and the productivity of the food web that depends on these organisms.";
    String projects_0_end_date "2012-08";
    String projects_0_geolocation "Nearshore Arctic Ocean; Barrow, Alaska;  71.25-71.50N, 156-157W";
    String projects_0_name "Does competition for nitrogen between autotrophs and heterotrophs control carbon fluxes in the western coastal Arctic?";
    String projects_0_project_nid "535528";
    String projects_0_project_website "http://arcticnitro.org";
    String projects_0_start_date "2009-09";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 71.11889;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary 
"This dataset contains nitrogen fixation rates, as well as ammonium, nitrate,
and phosphate concentrations collected in the coastal Chukchi Sea west of
Barrow, Alaska between 15 Aug 2011 and 20 Aug 2011. \\u00a0Salinity,
temperature, and collection depth are also provided.";
    String time_coverage_end "2011-08-21T04:18Z";
    String time_coverage_start "2011-08-16T03:10Z";
    String title "Nitrogen fixation rates from samples collected in the Chukchi Sea, Arctic Ocean near Barrow, Alaska in August of 2011 (ArcticNITRO project)";
    String version "1";
    Float64 Westernmost_Easting -157.0625;
    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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