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Dataset Title:	Salinity, nutrients, and and extracted pigments from R/V New Horizon cruise NH0007 in the Northeast Pacific in 2000 as part of the U.S. GLOBEC program (NEP project)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_2461)
Range:	longitude = -126.1733 to -123.6919°E, latitude = 38.7976 to 44.6554°N
Information:	Summary \| License \| ISO 19115 \| Metadata \| Background \| 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:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  yr {
    Int16 _FillValue 32767;
    Int16 actual_range 2000, 2000;
    String bcodmo_name "year";
    String description "Year";
    String long_name "YR";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "dimensionless";
  }
  ship {
    String bcodmo_name "ship";
    String description "Ship name.";
    String long_name "Ship";
    String units "dimensionless";
  }
  cruise_id {
    String bcodmo_name "cruiseid";
    String description "cruise identification";
    String long_name "Cruise Id";
    String units "dimensionless";
  }
  cast {
    String bcodmo_name "cast";
    String description "CTD cast cumber";
    String long_name "Cast";
    String units "dimensionless";
  }
  sta_std {
    String bcodmo_name "station_std";
    String description "Standard station name/number.";
    String long_name "Sta Std";
    String units "dimensionless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 38.7976, 44.6554;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude in decimal degrees.";
    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 -126.1733, -123.6919;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude in decimal degrees.";
    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";
  }
  month {
    String bcodmo_name "month";
    String description "Month of year.";
    String long_name "Month";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MNTHXXXX/";
    String units "dimensionless";
  }
  day {
    String bcodmo_name "day";
    String description "Day of month.";
    String long_name "Day";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DAYXXXXX/";
    String units "dimensionless";
  }
  bottle_posn {
    String bcodmo_name "bottle";
    String description "Rosette bottle position. Actual Rosette Bottle Number (1-12) is obtained by dividing shown Bottle Position by 2 (e.g., 12 shown = 6).";
    String long_name "Bottle Posn";
    String units "dimensionless";
  }
  chl_qcf {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    String bcodmo_name "flag";
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String description "Chlorophyll-a quality control flag, 1 = sample may have been rinsed with unfiltered water.";
    String long_name "CHL QCF";
    String units "dimensionless";
  }
  chl_a {
    String bcodmo_name "chlorophyll a";
    String description "Chlorophyll-a concentration.";
    String long_name "Chl A";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/";
    String units "ug/L";
  }
  phaeo {
    Float32 _FillValue NaN;
    Float32 actual_range -0.12, 7.53;
    String bcodmo_name "phaeopigment";
    String description "Phaeopigment concentration.";
    String long_name "Phaeo";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHAEFMP1/";
    String units "ug/L";
  }
  sal {
    Float32 _FillValue NaN;
    Float32 actual_range 31.0988, 34.0727;
    String bcodmo_name "sal";
    String description "Salinity calculated from CTD primary temperature and conductivity sensors, PSU. Originally named 'sal00'.";
    String long_name "Sal";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "PSU";
  }
  sal2 {
    Float32 _FillValue NaN;
    Float32 actual_range 31.0924, 34.0648;
    String bcodmo_name "sal2";
    String description "Salinity calculated from CTD secondary temperature and conductivity sensors, PSU. Originally named 'sal11'.";
    String long_name "Sal2";
    String units "PSU";
  }
  sal_bottle {
    Float32 _FillValue NaN;
    Float32 actual_range 31.1017, 34.0687;
    String bcodmo_name "sal_bottle";
    String description "Salinity measured from bottle samples, PSU. Originally named 'bottle_salt'.";
    String long_name "Sal Bottle";
    String units "PSU";
  }
  pressure {
    Float64 _FillValue NaN;
    Float64 actual_range 0.39, 304.016;
    String bcodmo_name "pressure";
    String description "Pressure at depth of bottle/sample.";
    String long_name "Pressure";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PRESPR01/";
    String units "decibars";
  }
  temp {
    Float32 _FillValue NaN;
    Float32 actual_range 6.4639, 18.2827;
    String bcodmo_name "temperature";
    String description "Temperature from CTD primary temperature sensor. Originally  named 't068'.";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees C";
  }
  temp2 {
    Float32 _FillValue NaN;
    Float32 actual_range 6.4593, 18.282;
    String bcodmo_name "temp2";
    String description "Temperature from CTD secondary temperature sensor. Originally  named 't168'.";
    String long_name "Temp2";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPS601/";
    String units "degrees C";
  }
  flvolt {
    Float32 _FillValue NaN;
    Float32 actual_range 0.1387, 12.6;
    String bcodmo_name "fluor voltage";
    String description "Fluorescence electronic data (volts). Originally named 'flc'.";
    String long_name "Flvolt";
    String units "volts";
  }
  trans {
    Float32 _FillValue NaN;
    Float32 actual_range 29.6559, 86.5436;
    String bcodmo_name "transmission";
    String description "Light transmission (transmissometer). Originally named 'xmiss'.";
    String long_name "Trans";
    String units "percent";
  }
  PO4 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.1594, 3.2205;
    String bcodmo_name "PO4";
    String description "Phosphate concentration.";
    String long_name "Mass Concentration Of Phosphate In Sea Water";
    String units "umoles/L";
  }
  NO3_NO2 {
    Float32 _FillValue NaN;
    Float32 actual_range -0.0295, 36.0063;
    String bcodmo_name "NO3_NO2";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "nitrate+nitrite combined concentration. Originally named 'N+N'.";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String units "umoles/L";
  }
  Si {
    Float32 _FillValue NaN;
    Float32 actual_range 0.4247, 66.2854;
    String bcodmo_name "SiOH_4";
    String description "Silicate (Orthosilicic Acid) concentration.";
    String long_name "Mass Concentration Of Silicate In Sea Water";
    String units "umoles/L";
  }
  NO2 {
    Float32 _FillValue NaN;
    Float32 actual_range -0.0206, 0.9396;
    String bcodmo_name "NO2";
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String description "Nitrite 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 "umoles/L";
  }
  NH4 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 4.2305;
    String bcodmo_name "Ammonium";
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String description "Ammonium ion 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 "umoles/L";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Notes:  
 (1) Nutrient samples were collected from most bottles; all nutrient data
developed from samples frozen during the cruise and analyzed ashore; data
developed by Burke Hales (OSU).  
 (2) Bottle Salts were run by SIO techs on Guildline Autosalinometer.  
 (3) sal (sal00)\\u00a0 - salinity calculated from primary sensors (C0,T0)
differ from bottle salts by less than 0.003 psu.  
 (4) sal2 (sal11) - salinity calc. from secondary sensors (C1,T1) differ from
bottle salts by ca. 0.0088 psu.
 
Operation Detection Limits for Nutrient Concentrations (Units are micromoles
per liter):  
 \\u00a0\\u00a0\\u00a0\\u00a0\\u00a0 PO4 Range: 0.003-0.004; Mean = 0.004  
 \\u00a0\\u00a0\\u00a0\\u00a0\\u00a0 NO3+NO2 Range: 0.04-0.08; Mean = 0.06  
 \\u00a0\\u00a0\\u00a0\\u00a0\\u00a0 Si(OH)4 Range: 0.13-0.24; Mean = 0.16  
 \\u00a0\\u00a0\\u00a0\\u00a0\\u00a0 NO2 Range: 0.003-0.004; Mean= 0.003";
    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 "55044";
    String awards_1_award_number "unknown NEP NOAA";
    String awards_1_funder_name "National Oceanic and Atmospheric Administration";
    String awards_1_funding_acronym "NOAA";
    String awards_1_funding_source_nid "352";
    String cdm_data_type "Other";
    String comment 
"Rosette Bottle Data (nutrients, salinities, pigments) from  
  CCS process cruise NH0007 (27 July - 12 August 2000)";
    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 "2010-06-14T18:56:18Z";
    String date_modified "2019-10-31T14:53:07Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.2461.1";
    Float64 Easternmost_Easting -123.6919;
    Float64 geospatial_lat_max 44.6554;
    Float64 geospatial_lat_min 38.7976;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -123.6919;
    Float64 geospatial_lon_min -126.1733;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-04-25T10:33:25Z (local files)
2024-04-25T10:33:25Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_2461.das";
    String infoUrl "https://www.bco-dmo.org/dataset/2461";
    String institution "BCO-DMO";
    String instruments_0_acronym "Niskin bottle";
    String instruments_0_dataset_instrument_description "Niskin bottle cast used to collect water samples for pigment, nutrient, plankton, etc. analysis";
    String instruments_0_dataset_instrument_nid "4142";
    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 keywords "altimetry, ammonia, ammonium, bco, bco-dmo, biological, bottle, bottle_posn, cast, chemical, chemistry, chl, chl_a, chl_qcf, chlorophyll, concentration, cruise, cruise_id, data, dataset, day, depth, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Ammonia, Earth Science > Oceans > Ocean Chemistry > Nitrate, Earth Science > Oceans > Ocean Chemistry > Phosphate, Earth Science > Oceans > Ocean Chemistry > Silicate, erddap, flvolt, laboratory, latitude, longitude, management, mass, mass_concentration_of_phosphate_in_sea_water, mass_concentration_of_silicate_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, n02, nh4, nitrate, nitrite, NO2, no3, NO3_NO2, ocean, oceanography, oceans, office, phaeo, phosphate, po4, posn, preliminary, pressure, profiler, qcf, sal, sal2, sal_bottle, salinity, salinity-temperature-depth, satellite, science, sea, seawater, ship, silicate, sta, sta_std, std, temp2, temperature, trans, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/2461/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/2461";
    Float64 Northernmost_Northing 44.6554;
    String param_mapping "{'2461': {'lat': 'master - latitude', 'pressure': 'flag - depth', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2461/parameters";
    String people_0_affiliation "Oregon State University";
    String people_0_affiliation_acronym "OSU-CIMRS";
    String people_0_person_name "Suzan S Pool";
    String people_0_person_nid "50496";
    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 "Ms Dicky Allison";
    String people_1_person_nid "50382";
    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 38.7976;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "yr,ship,cruise_id";
    String summary "Salinity, nutrients, and and extracted pigments from R/V New Horizon cruise NH0007 in the Northeast Pacific in 2000 as part of the U.S. GLOBEC program.";
    String title "Salinity, nutrients, and and extracted pigments from R/V New Horizon cruise NH0007 in the Northeast Pacific in 2000 as part of the U.S. GLOBEC program (NEP project)";
    String version "1";
    Float64 Westernmost_Easting -126.1733;
    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.

(easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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.