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Dataset Title:  [PUPCYCLE 2019 upwelling transects] - Data from samples collected at four
sites experiencing upwelling off the coast of Northern California in May and
June of 2019 (CAREER: An integrated molecular and physiological approach to
examining the dynamics of upwelled phytoplankton in current and changing oceans)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_949801_v1)
Range: longitude = -124.6888 to -124.3713°E, latitude = 41.42078 to 43.99948°N, depth = 5.0 to 300.0m
Information:  Summary ? | License ? | FGDC | 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 {
  Station {
    String long_name "Station";
    String units "unitless";
  }
  Replicate {
    String long_name "Replicate";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 5.0, 300.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth_m";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Sample_Name {
    String long_name "Sample_name";
    String units "unitless";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 41.42078, 43.99948;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -124.6888, -124.3713;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Salinity {
    Float32 actual_range 32.6, 33.83;
    String long_name "Salinity";
    String units "PSU";
  }
  Temperature {
    Float32 actual_range 8.8, 11.77;
    String long_name "Temperature";
    String units "degrees Celsius";
  }
  PAR {
    Float32 actual_range 0.00496, 48.1;
    String long_name "Par";
    String units "watts per square meter (W/m^2)";
  }
  NO3 {
    Float32 actual_range 1.73, 48.34;
    String long_name "No3";
    String units "micromolar (uM)";
  }
  PO4 {
    Float32 actual_range 0.47, 2.35;
    String long_name "Po4";
    String units "micromolar (uM)";
  }
  SiO2 {
    Float32 actual_range 2.92, 44.74;
    String long_name "Sio2";
    String units "micromolar (uM)";
  }
  chl_a_gt_5um {
    Float32 actual_range 0.081378, 1.752504;
    String long_name "Chl_a_gt_5um";
    String units "micrograms per liter (ug/L)";
  }
  chl_a_GFF {
    Float32 actual_range 0.055896, 1.90704;
    String long_name "Chl_a_gff";
    String units "micrograms per liter (ug/L)";
  }
  chl_a_Total {
    Float32 actual_range 0.16, 2.55;
    String long_name "Chl_a_total";
    String units "micrograms per liter (ug/L)";
  }
  PON_gt_5um {
    Float32 actual_range 0.28, 4.24;
    String long_name "Pon_gt_5um";
    String units "micromoles per liter (umol/L)";
  }
  PON_GFF {
    Float32 actual_range 0.68, 3.97;
    String long_name "Pon_gff";
    String units "micromoles per liter (umol/L)";
  }
  PON_Total {
    Float32 actual_range 1.11, 6.24;
    String long_name "Pon_total";
    String units "micromoles per liter (umol/L)";
  }
  POC_gt_5um {
    Float32 actual_range 0.56, 21.46;
    String long_name "Poc_gt_5um";
    String units "micromoles per liter (umol/L)";
  }
  POC_GFF {
    Float32 actual_range 2.36, 25.26;
    String long_name "Poc_gff";
    String units "micromoles per liter (umol/L)";
  }
  POC_Total {
    Float32 actual_range 4.64, 34.01;
    String long_name "Poc_total";
    String units "micromoles per liter (umol/L)";
  }
  N_Uptake_gt_5um {
    Float32 actual_range 0.0, 1.01;
    String long_name "N_uptake_gt_5um";
    String units "micromoles per liter per day (umol/L/day)";
  }
  N_Uptake_GFF {
    Float32 actual_range 0.01, 1.48;
    String long_name "N_uptake_gff";
    String units "micromoles per liter per day (umol/L/day)";
  }
  N_Uptake_Total {
    Float32 actual_range 0.01, 1.79;
    String long_name "N_uptake_total";
    String units "micromoles per liter per day (umol/L/day)";
  }
  Biomass_normalized_N_Uptake_gt_5um {
    Float32 actual_range 0.0073, 0.788;
    String long_name "Biomass_normalized_n_uptake_gt_5um";
    String units "per day";
  }
  Biomass_normalized_N_Uptake_GFF {
    Float32 actual_range 0.0135, 0.4078;
    String long_name "Biomass_normalized_n_uptake_gff";
    String units "per day";
  }
  Biomass_normalized_N_Uptake_Total {
    Float32 actual_range 0.02, 1.16;
    String long_name "Biomass_normalized_n_uptake_total";
    String units "per day";
  }
  C_Uptake_5um {
    Float32 actual_range 0.02, 15.73;
    String long_name "C_uptake_5um";
    String units "micromoles per liter per day (umol/L/day)";
  }
  C_Uptake_GFF {
    Float32 actual_range 0.11, 22.66;
    String long_name "C_uptake_gff";
    String units "micromoles per liter per day (umol/L/day)";
  }
  C_Uptake_Total {
    Float32 actual_range 0.3, 24.61;
    String long_name "C_uptake_total";
    String units "micromoles per liter per day (umol/L/day)";
  }
  Biomass_normalized_C_Uptake_gt_5um {
    Float32 actual_range 0.0289, 1.225;
    String long_name "Biomass_normalized_c_uptake_gt_5um";
    String units "per day";
  }
  Biomass_normalized_C_Uptake_GFF {
    Float32 actual_range 0.0433, 0.9832;
    String long_name "Biomass_normalized_c_uptake_gff";
    String units "per day";
  }
  Biomass_normalized_C_Uptake_Total {
    Float32 actual_range 0.08, 2.04;
    String long_name "Biomass_normalized_c_uptake_total";
    String units "per day";
  }
  dissolved_Y {
    Float32 actual_range 103.8, 164.18;
    String long_name "Dissolved_y";
    String units "picomoles per kilogram (pmol/kg)";
  }
  dissolved_Cd {
    Float32 actual_range 360.01, 1034.27;
    String long_name "Dissolved_cd";
    String units "picomoles per kilogram (pmol/kg)";
  }
  dissolved_La {
    Float32 actual_range 18.91, 42.19;
    String long_name "Dissolved_la";
    String units "picomoles per kilogram (pmol/kg)";
  }
  dissolved_Pb {
    Float32 actual_range 12.77, 115.98;
    String long_name "Dissolved_pb";
    String units "picomoles per kilogram (pmol/kg)";
  }
  dissolved_Ce {
    Float32 actual_range 6.52, 43.02;
    String long_name "Dissolved_ce";
    String units "picomoles per kilogram (pmol/kg)";
  }
  dissolved_Sc {
    Float32 actual_range 5.82, 22.52;
    String long_name "Dissolved_sc";
    String units "picomoles per kilogram (pmol/kg)";
  }
  dissolved_Mn {
    Float32 actual_range 1.09, 15.73;
    String long_name "Dissolved_mn";
    String units "nanomoles per kilogram (nmol/kg)";
  }
  dissolved_Fe {
    Float32 actual_range 1.16, 26.2;
    String long_name "Dissolved_fe";
    String units "nanomoles per kilogram (nmol/kg)";
  }
  dissolved_Co {
    Float32 actual_range 90.42, 364.24;
    String long_name "Dissolved_co";
    String units "picomoles per kilogram (pmol/kg)";
  }
  dissolved_Ni {
    Float32 actual_range 4.35, 8.54;
    String long_name "Dissolved_ni";
    String units "nanomoles per kilogram (nmol/kg)";
  }
  dissolved_Cu {
    Float32 actual_range 1.54, 7.61;
    String long_name "Dissolved_cu";
    String units "nanomoles per kilogram (nmol/kg)";
  }
  dissolved_Zn {
    Float32 actual_range 1.13, 4.72;
    String long_name "Dissolved_zn";
    String units "nanomoles per kilogram (nmol/kg)";
  }
  soluble_Fe {
    Float32 actual_range 0.42, 18.72;
    String long_name "Soluble_fe";
    String units "nanomoles per kilogram (nmol/kg)";
  }
  soluble_Ni {
    Float32 actual_range 2.97, 6.17;
    String long_name "Soluble_ni";
    String units "nanomoles per kilogram (nmol/kg)";
  }
  soluble_Cu {
    Float32 actual_range 0.61, 1.22;
    String long_name "Soluble_cu";
    String units "nanomoles per kilogram (nmol/kg)";
  }
  soluble_Zn {
    Float32 actual_range 0.62, 3.65;
    String long_name "Soluble_zn";
    String units "nanomoles per kilogram (nmol/kg)";
  }
 }
  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.949801.1";
    Float64 Easternmost_Easting -124.3713;
    Float64 geospatial_lat_max 43.99948;
    Float64 geospatial_lat_min 41.42078;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -124.3713;
    Float64 geospatial_lon_min -124.6888;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 300.0;
    Float64 geospatial_vertical_min 5.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2025-08-16T09:54:34Z (local files)
2025-08-16T09:54:34Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_949801_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/949801";
    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.";
    Float64 Northernmost_Northing 43.99948;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 41.42078;
    String summary 
"The primary objective of this study aims to examine and compare the dynamics of phytoplankton blooms at different stages of upwelling. We combined environmental and physiological observations to put together a narrative of phytoplankton community succession. In doing so, we postulate that the four stations sampled represent a mosaic of different stages of relatively early upwelling cycles such that they can be classified as either the initial onset of upwelling (early stage, denoted by E1) in which the subsurface community only recently transitioned to the surface, or the relatively later phases (later stage, denoted by L2, L3, and L4) where the community has just started to build up biomass and is undergoing the \"shift-up\" response. 

Four sites experiencing upwelling were sampled off the coast of Northern California on May 30, 2019 (E1 and L2) and June 05, 2019 (L3 and L4). Seawater was collected using a CTD-Rosette sampler, at four depths throughout the euphotic zone at each station corresponding to 50%, 30%, 10%, and 1% incident irradiance. Samples for temperature, salinity, PAR, chlorophyll a, dissolved inorganic nutrients, dissolved metal micronutrients, and physiology were obtained. PUPCYCLE I (Phytoplankton response to the UPwelling CYCLE) took place in summer 2019 onboard the R/V Oceanus (OC 1905b), led by Chief Scientist Adrian Marchetti.";
    String title "[PUPCYCLE 2019 upwelling transects] - Data from samples collected at four sites experiencing upwelling off the coast of Northern California in May and June of 2019 (CAREER: An integrated molecular and physiological approach to examining the dynamics of upwelled phytoplankton in current and changing oceans)";
    Float64 Westernmost_Easting -124.6888;
  }
}

 

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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