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Dataset Title:  Particulate and dissolved organic carbon and nitrogen data from multiple
cruises on R/V Wecoma, R/V Atlantis, and R/V New Horizon in the Northeast
Pacific from 1997-2004 (GLOBEC NEP)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_3643)
Range: longitude = -126.05 to -123.45°E, latitude = 38.13 to 44.65°N, time = 1997-09-19T22:23:00.00Z to 2004-09-02T00:16:00.00Z
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 {
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 1997, 2004;
    String bcodmo_name "year";
    String description "Year in YYYY format.";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "dimensionless";
  }
  cruise_id {
    String bcodmo_name "cruise_id";
    String description "Alpha-numeric cruise ID number.";
    String long_name "Cruise Id";
    String units "dimensionless";
  }
  station_std {
    String bcodmo_name "station_std";
    String description "Standard station identifier; provides reference to other GLOBEC NEP cruise data. Originally named 'Station Name'.";
    String long_name "Station Std";
    String units "dimensionless";
  }
  station {
    Byte _FillValue 127;
    Byte actual_range 1, 48;
    String bcodmo_name "station";
    String description "Station number.";
    String long_name "Station";
    String units "dimensionless";
  }
  month_gmt {
    String bcodmo_name "month_gmt";
    String description "Month in GMT format. Converted from original 'GMT Date' field, which was in mm/dd/YYYY format.";
    String long_name "Month Gmt";
    String units "dimensionless";
  }
  day_gmt {
    String bcodmo_name "day_gmt";
    String description "Day in GMT format. Converted from original 'GMT Date' field, which was in mm/dd/YYYY format.";
    String long_name "Day Gmt";
    String units "dimesionless";
  }
  time_gmt {
    String bcodmo_name "time_gmt";
    String description "Time in GMT format. Converted from original 'GMT Time' field, which was in HH:MM format.";
    String long_name "Time Gmt";
    String units "HHMM, 24-hr clock";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 38.13, 44.65;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude, positive values = North. Originally named 'Lat N'.";
    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 -126.05, -123.45;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude, negative values = West. Originally named 'Long W'.";
    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 8.7470778e+8, 1.09408416e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Date and time (UTC) formatted to ISO8601 standard. T indicates start of time string; Z indicates UTC.";
    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 "1970-01-01T00:00:00.00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  press {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 1009.0;
    String bcodmo_name "pressure";
    String description "Pressure (in dbar) as measured by CTD when Niskin bottles were fired (upcast). Proxy for depth.";
    String long_name "Press";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PRESPR01/";
    String units "decibars";
  }
  temp {
    Float32 _FillValue NaN;
    Float32 actual_range 3.4, 19.32;
    String bcodmo_name "temperature";
    String description "Water temperature as measured by CTD when Niskin bottles were fired (upcast).";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees C";
  }
  sal {
    Float32 _FillValue NaN;
    Float32 actual_range 24.64, 34.44;
    String bcodmo_name "sal";
    String description "Salinity as measured by CTD when Niskin bottles were fired (upcast).";
    String long_name "Sal";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "unknown";
  }
  TN {
    Float32 _FillValue NaN;
    Float32 actual_range 2.2, 53.57;
    String bcodmo_name "unknown";
    String description "Total Nitrogen (micromolar). Fliers greater than 1sd from the mean replicate value were deleted from the dataset. Other TN data were deleted if values were abnormally high or low according to the depth profile or expected ranges.";
    String long_name "TN";
    String units "micromolar";
  }
  TOC {
    Float32 _FillValue NaN;
    Float32 actual_range 34.81, 399.4;
    String bcodmo_name "TOC";
    String description "Total organic Carbon (micromolar). Data from the following cruises have not been analyzed: Sept 1997 (NH 45-85), Nov 1997 (NH 25-65, FM, CR and COC lines), Jan 1998 (part of NH line, all of FM line), Apr 1998 (parts of NH, all of FM, CR and COC lines), Nov 1998 (all), all cruises in 1999, and Feb 2000. See the data report for a description of outliers omitted from dataset.";
    String long_name "TOC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CORGCOTX/";
    String units "micromolar";
  }
  POC {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 133.68;
    String bcodmo_name "POC";
    String description "Particulate organic Carbon (micromolar). See the data report for a description of outliers omitted from dataset.";
    String long_name "Particulate Organic Carbon";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CORGCAP1/";
    String units "micromolar";
  }
  PON {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 17.39;
    String bcodmo_name "PON";
    String description "Particulate organic Nitrogen (micromolar). See the data report for a description of outliers omitted from dataset.";
    String long_name "PON";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MDMAP013/";
    String units "micromolar";
  }
  DOC {
    Float32 _FillValue NaN;
    Float32 actual_range -7.07, 230.61;
    String bcodmo_name "DOC";
    String description 
"Dissolved organic Carbon (micromolar). DOC was determined by subtracting POC values from TOC
values. Individual data points were deleted if the coefficient of variation remained greater than 15% after removing data points greater than one sd from the mean. Various points were deleted if the sample value was determined to be below the detection limit. If POC data were missing, the corresponding DOC values were not calculated.";
    String long_name "DOC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CORGZZZX/";
    String units "micromolar";
  }
  DON {
    Float32 _FillValue NaN;
    Float32 actual_range 0.01, 24.76;
    String bcodmo_name "Dissolved Organic Nitrogen";
    String description 
"Dissolved organic Nitrogen (micromolar). DON was determined by subtracting PON and DIN (NH4, NO3-, and NO2-) values from TN values. Individual data points were deleted if the coefficient of variation remained greater than 15% after removing data points greater than one sd from the mean. Various points were deleted if the sample value was determined to be below the detection limit. If PON data were missing, DON values were left in if they met the following criteria:
sample depth was > 50m and surrounding values were less than or equal to 10% of the DON values. Other DON data were deleted if values were abnormally high or low according to the depth profile or expected ranges.";
    String long_name "DON";
    String units "micromolar";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"At each station, water samples were collected from various depths with 5 L
Niskin bottles on a 12 bottle rosette. Complete information on sample
collection and analyses is available in the [Data
Report](\\\\\"http://globec.whoi.edu/nep/reports/ccs_cruises/GLOBEC_orgCN_datareport_updated_120612.pdf\\\\\")
(PDF).";
    String awards_0_award_nid "54872";
    String awards_0_award_number "OCE-0000733";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0000733";
    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 "Phillip R. Taylor";
    String awards_0_program_manager_nid "50451";
    String awards_1_award_nid "54968";
    String awards_1_award_number "OCE-9732386";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9732386";
    String awards_1_funder_name "NSF Division of Ocean Sciences";
    String awards_1_funding_acronym "NSF OCE";
    String awards_1_funding_source_nid "355";
    String awards_1_program_manager "Phillip R. Taylor";
    String awards_1_program_manager_nid "50451";
    String awards_2_award_nid "55046";
    String awards_2_award_number "NA67RJ0151 (NEP)";
    String awards_2_funder_name "National Oceanic and Atmospheric Administration";
    String awards_2_funding_acronym "NOAA";
    String awards_2_funding_source_nid "352";
    String awards_3_award_nid "55047";
    String awards_3_award_number "NA86OP0589 (NEP)";
    String awards_3_funder_name "National Oceanic and Atmospheric Administration";
    String awards_3_funding_acronym "NOAA";
    String awards_3_funding_source_nid "352";
    String cdm_data_type "Other";
    String comment 
"NEP-CCS Particulate and Dissolved Organic Carbon and Nitrogen Data  
  from the GLOBEC Long-Term Observation Program (LTOP), 1997-2004 
  PI: Pat Wheeler (Oregon State University)";
    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 "2012-04-23T13:48:44Z";
    String date_modified "2019-02-01T15:38:15Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.3643.1";
    Float64 Easternmost_Easting -123.45;
    Float64 geospatial_lat_max 44.65;
    Float64 geospatial_lat_min 38.13;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -123.45;
    Float64 geospatial_lon_min -126.05;
    String geospatial_lon_units "degrees_east";
    String history 
"2022-08-12T23:33:47Z (local files)
2022-08-12T23:33:47Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_3643.das";
    String infoUrl "https://www.bco-dmo.org/dataset/3643";
    String institution "BCO-DMO";
    String instruments_0_acronym "Niskin bottle";
    String instruments_0_dataset_instrument_description "At each station, water samples were collected from various depths with 5 L Niskin bottles on a 12 bottle rosette.";
    String instruments_0_dataset_instrument_nid "5601";
    String instruments_0_description "A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends.  The bottles can be attached individually on a hydrowire or deployed in 12, 24 or 36 bottle Rosette systems mounted on a frame and combined with a CTD.  Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/";
    String instruments_0_instrument_name "Niskin bottle";
    String instruments_0_instrument_nid "413";
    String instruments_0_supplied_name "Niskin bottle";
    String instruments_1_acronym "Nutrient Autoanalyzer";
    String instruments_1_dataset_instrument_description "Technicon AA-II was used for analyses of Total Nitrogen.";
    String instruments_1_dataset_instrument_nid "5602";
    String instruments_1_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_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB04/";
    String instruments_1_instrument_name "Nutrient Autoanalyzer";
    String instruments_1_instrument_nid "558";
    String instruments_1_supplied_name "Nutrient Autoanalyzer";
    String instruments_2_acronym "CHN_EA";
    String instruments_2_dataset_instrument_description "A Carlo Erba CNS analyzer and Control Equipment Corp. 440HA CHN elemental analyzer were used for analyses of POC and PON.";
    String instruments_2_dataset_instrument_nid "5603";
    String instruments_2_description "A CHN Elemental Analyzer is used for the determination of carbon, hydrogen, and  nitrogen content in organic and other types of materials, including  solids, liquids, volatile, and viscous samples.";
    String instruments_2_instrument_name "CHN Elemental Analyzer";
    String instruments_2_instrument_nid "625";
    String instruments_2_supplied_name "CHN Elemental Analyzer";
    String instruments_3_acronym "TOC analyzer";
    String instruments_3_dataset_instrument_description "TOC analyses were perfomed using a Shimadzu TOC-500 (for 1997 and 1998   samples). The Shimadzu TOC-500 TOC analyzer measures total carbon (TC),   inorganic  carbon (IC) and total organic carbon (TOC) in water. TC, TOC   and IC are  measured by the combustion-non-dispersive infrared gas   analysis method. Starting in April 2000, a Shimadzu TOC-5000A analyzer   with an ASI 5000 autosampler was used.";
    String instruments_3_dataset_instrument_nid "5670";
    String instruments_3_description "A unit that accurately determines the carbon concentrations of organic compounds typically by detecting and measuring its combustion product (CO2). See description document at: http://bcodata.whoi.edu/LaurentianGreatLakes_Chemistry/bs116.pdf";
    String instruments_3_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB04/";
    String instruments_3_instrument_name "Total Organic Carbon Analyzer";
    String instruments_3_instrument_nid "652";
    String instruments_3_supplied_name "Total Organic Carbon Analyzer";
    String keywords "altimetry, bco, bco-dmo, biological, carbon, chemical, commerce, cruise, cruise_id, data, dataset, date, day, day_gmt, department, depth, dmo, doc, don, erddap, iso, laboratory, latitude, longitude, management, month, month_gmt, oceanography, office, organic, particulate, POC, pon, preliminary, press, profiler, sal, salinity, salinity-temperature-depth, satellite, station, station_std, std, temperature, time, time_gmt, toc, year";
    String license "https://www.bco-dmo.org/dataset/3643/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/3643";
    Float64 Northernmost_Northing 44.65;
    String param_mapping "{'3643': {'lat': 'master - latitude', 'press': 'flag - depth', 'lon': 'master - longitude', 'ISO_DateTime_UTC': 'flag - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3643/parameters";
    String people_0_affiliation "Oregon State University";
    String people_0_affiliation_acronym "OSU-CEOAS";
    String people_0_person_name "Patricia Wheeler";
    String people_0_person_nid "50494";
    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 "NEP";
    String projects_0_acronym "NEP";
    String projects_0_description 
"Program in a Nutshell
Goal:  To understand the effects of climate variability and climate change on the distribution, abundance and production of marine animals (including commercially important living marine resources) in the eastern North Pacific. To embody this understanding in diagnostic and prognostic ecosystem models, capable of capturing the ecosystem response to major climatic fluctuations.
Approach: To study the effects of past and present climate variability on the population ecology and population dynamics of marine biota and living marine resources, and to use this information as a proxy for how the ecosystems of the eastern North Pacific may respond to future global climate change. The strong temporal variability in the physical and biological signals of the NEP will be used to examine the biophysical mechanisms through which zooplankton and salmon populations respond to physical forcing and biological interactions in the coastal regions of the two gyres. Annual and interannual variability will be studied directly through long-term observations and detailed process studies; variability at longer time scales will be examined through retrospective analysis of directly measured and proxy data. Coupled biophysical models of the ecosystems of these regions will be developed and tested using the process studies and data collected from the long-term observation programs, then further tested and improved by hindcasting selected retrospective data series.";
    String projects_0_geolocation "Northeast Pacific Ocean, Gulf of Alaska";
    String projects_0_name "U.S. GLOBEC Northeast Pacific";
    String projects_0_project_nid "2038";
    String projects_0_project_website "http://nepglobec.bco-dmo.org";
    String projects_0_start_date "1997-01";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 38.13;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "This dataset contains particulate and dissolved organic carbon and nitrogen data from the GLOBEC Northeast Pacific (NEP) Long-Term Observation Program (LTOP) cruises from 1997 to 2004. The nutrient and extracted chlorophyll data that correspond to this dataset can be also be found in the BCO-DMO database.\\r\\n\\r\\nFor further hydrographic information from all cruises, see cruise reports provided on the Northeast Pacific Long Term Observation Program website, or contact Dr. A Huyer at Oregon State University, COAS,104 COAS Admin. Bldg., Corvallis, OR, 97331-5503. All particulate and dissolved organic carbon and nitrogen data in this dataset include cruise station numbers to allow comparison with the hydrographic information found in other data reports.";
    String time_coverage_end "2004-09-02T00:16:00.00Z";
    String time_coverage_start "1997-09-19T22:23:00.00Z";
    String title "Particulate and dissolved organic carbon and nitrogen data from multiple cruises on R/V Wecoma, R/V Atlantis, and R/V New Horizon in the Northeast Pacific from 1997-2004 (GLOBEC NEP)";
    String version "1";
    Float64 Westernmost_Easting -126.05;
    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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