BCO-DMO ERDDAP
Accessing BCO-DMO data

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Dataset Title:	[GP15 HPLC pigments Leg 1] - Pigment concentrations determined by HPLC from samples collected on Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018 (US GEOTRACES Pacific Meridional Transect (GP15))
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_914655_v1)
Range:	longitude = -156.9628 to -151.9996°E, depth = 3.0 to 130.0m
Information:	Summary \| License \| Metadata \| Background \| Data Access Form \| Files

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Things You Can Do With Your Graphs

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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 {
  Start_Date_UTC {
    String long_name "Start_date_utc";
    String units "unitless";
  }
  Event_ID {
    Int32 actual_range 6523, 6756;
    String long_name "Event_id";
    String units "unitless";
  }
  Sample_ID {
    Int32 actual_range 1117, 13813;
    String long_name "Sample_id";
    String units "unitless";
  }
  Niskin {
    Int32 actual_range 10, 36;
    String long_name "Niskin";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Int32 actual_range 3, 130;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Sample_depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Station_ID {
    Int32 actual_range 1, 18;
    String long_name "Station_id";
    String units "unitless";
  }
  Cast_number {
    Int32 actual_range 3, 6;
    String long_name "Cast_number";
    String units "unitless";
  }
  Start_Latitude {
    Float32 actual_range 22.0003, 56.0585;
    String long_name "Start_latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -156.9628, -151.9996;
    String axis "X";
    String ioos_category "Location";
    String long_name "Start_longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  But_fuco_HPLC_TP_CONC_BOTTLE_dnax4l {
    Float32 actual_range 0.0, 124.4;
    String long_name "But_fuco_hplc_tp_conc_bottle_dnax4l";
    String units "nanograms per liter (ng/L)";
  }
  Hex_fuco_HPLC_TP_CONC_BOTTLE_aeqqpa {
    Float32 actual_range 6.2, 379.8;
    String long_name "Hex_fuco_hplc_tp_conc_bottle_aeqqpa";
    String units "nanograms per liter (ng/L)";
  }
  Allo_HPLC_TP_CONC_BOTTLE_n3dfmg {
    Float32 actual_range 0.0, 111.4;
    String long_name "Allo_hplc_tp_conc_bottle_n3dfmg";
    String units "nanograms per liter (ng/L)";
  }
  Beta_Car_HPLC_TP_CONC_BOTTLE_weksrk {
    Float32 actual_range 0.0, 120.9;
    String long_name "Beta_car_hplc_tp_conc_bottle_weksrk";
    String units "nanograms per liter (ng/L)";
  }
  Alpha_Car_HPLC_TP_CONC_BOTTLE_kc31kx {
    Float32 actual_range 0.0, 32.4;
    String long_name "Alpha_car_hplc_tp_conc_bottle_kc31kx";
    String units "nanograms per liter (ng/L)";
  }
  Chl_a_HPLC_TP_CONC_BOTTLE_t7ylyl {
    Float32 actual_range 46.5, 2631.0;
    String long_name "Chl_a_hplc_tp_conc_bottle_t7ylyl";
    String units "nanograms per liter (ng/L)";
  }
  Chl_b_HPLC_TP_CONC_BOTTLE_0ocmnn {
    Float32 actual_range 4.9, 549.6;
    String long_name "Chl_b_hplc_tp_conc_bottle_0ocmnn";
    String units "nanograms per liter (ng/L)";
  }
  Chl_c1_chl_c2_HPLC_TP_CONC_BOTTLE_q8hvyu {
    Float32 actual_range 2.6, 160.5;
    String long_name "Chl_c1_chl_c2_hplc_tp_conc_bottle_q8hvyu";
    String units "nanograms per liter (ng/L)";
  }
  Chl_c3_HPLC_TP_CONC_BOTTLE_xghapc {
    Float32 actual_range 0.0, 176.2;
    String long_name "Chl_c3_hplc_tp_conc_bottle_xghapc";
    String units "nanograms per liter (ng/L)";
  }
  Chlide_a_HPLC_TP_CONC_BOTTLE_b3wnjk {
    Float32 actual_range 0.0, 83.0;
    String long_name "Chlide_a_hplc_tp_conc_bottle_b3wnjk";
    String units "nanograms per liter (ng/L)";
  }
  Diadino_HPLC_TP_CONC_BOTTLE_edfcfg {
    Float32 actual_range 0.0, 113.5;
    String long_name "Diadino_hplc_tp_conc_bottle_edfcfg";
    String units "nanograms per liter (ng/L)";
  }
  Diato_HPLC_TP_CONC_BOTTLE_zldkgz {
    Float32 actual_range 0.0, 12.5;
    String long_name "Diato_hplc_tp_conc_bottle_zldkgz";
    String units "nanograms per liter (ng/L)";
  }
  Fuco_HPLC_TP_CONC_BOTTLE_e664mt {
    Float32 actual_range 3.4, 508.1;
    String long_name "Fuco_hplc_tp_conc_bottle_e664mt";
    String units "nanograms per liter (ng/L)";
  }
  Lut_HPLC_TP_CONC_BOTTLE_nhojjn {
    Float32 actual_range 0.0, 33.4;
    String long_name "Lut_hplc_tp_conc_bottle_nhojjn";
    String units "nanograms per liter (ng/L)";
  }
  Neo_HPLC_TP_CONC_BOTTLE_le5llo {
    Float32 actual_range 0.0, 86.0;
    String long_name "Neo_hplc_tp_conc_bottle_le5llo";
    String units "nanograms per liter (ng/L)";
  }
  Perid_HPLC_TP_CONC_BOTTLE_jhwjny {
    Float32 actual_range 0.0, 57.1;
    String long_name "Perid_hplc_tp_conc_bottle_jhwjny";
    String units "nanograms per liter (ng/L)";
  }
  Pras_HPLC_TP_CONC_BOTTLE_jhhbgh {
    Float32 actual_range 0.0, 240.1;
    String long_name "Pras_hplc_tp_conc_bottle_jhhbgh";
    String units "nanograms per liter (ng/L)";
  }
  Viola_HPLC_TP_CONC_BOTTLE_hdckeg {
    Float32 actual_range 0.0, 84.7;
    String long_name "Viola_hplc_tp_conc_bottle_hdckeg";
    String units "nanograms per liter (ng/L)";
  }
  Zea_HPLC_TP_CONC_BOTTLE_rlwxro {
    Float32 actual_range 0.0, 147.9;
    String long_name "Zea_hplc_tp_conc_bottle_rlwxro";
    String units "nanograms per liter (ng/L)";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_url "https://www.bco-dmo.org/";
    String doi "10.26008/1912/bco-dmo.914655.1";
    Float64 Easternmost_Easting -151.9996;
    Float64 geospatial_lon_max -151.9996;
    Float64 geospatial_lon_min -156.9628;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 130.0;
    Float64 geospatial_vertical_min 3.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-09-21T12:31:57Z (local files)
2024-09-21T12:31:57Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_914655_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/914655";
    String institution "BCO-DMO";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    String sourceUrl "(local files)";
    String summary 
"This dataset contains high-performance liquid chromatography (HPLC) pigment data (19But, 19Hex, Allo, β Car, α Car, Chl a, Chl b, Chlc 1,2, Chl c 3, Cphlid, Diadino, Diato, Fuco, Lut, Neo, Peri, Prasino, Viola, Zea) from the U.S. GEOTRACES GP15 Pacific Meridional Transect from Alaska (56°M) to Tahiti (20°S) along 152°W between September 24, 2018 and November 24, 2018. Samples for pigment analysis were collected at 6 depths at every major station (N=23 stations) and filtered onto GF/F filters, which were frozen at -80°C until analysis at the HPLC Facility at Oregon State University managed by Ricardo Letelier (https://ceoas.oregonstate.edu/ocean-ecology-and-biogeochemistry-facilities). Samples were extracted and analyzed on a Waters 996 absorbance photodiode array detector in combination with a Waters 2475 fluorescence detector in September 2019.

These data were collected by the GP15 management team to provide biological context for the geochemical measurements made by GEOTRACES PIs. This dataset contains the data from Leg 1 of the cruise (RR1814), from Seattle, Washington, USA to Hilo, Hawaii, USA. Leg 2 data are provided in a separate dataset (see 'Related Datasets' section of metadata).";
    String title "[GP15 HPLC pigments Leg 1] - Pigment concentrations determined by HPLC from samples collected on Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018 (US GEOTRACES Pacific Meridional Transect (GP15))";
    Float64 Westernmost_Easting -156.9628;
  }
}

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.

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