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Dataset Title:  [PUPCYCLE 2019 incubation experiments] - Incubation experiments to assess the
physiological and molecular response of subsurface phytoplankton communities to
a simulation of the Upwelling Conveyor Belt Cycle (UCBC) conducted in summer
2019 onboard the R/V Oceanus (OC1905b) (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_949788_v1)
Range: longitude = -124.4163 to -121.5429°E, latitude = 35.92353 to 41.01471°N
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 {
  Experiment {
    String long_name "Experiment";
    String units "unitless";
  }
  Time_Point {
    String long_name "Time_point";
    String units "unitless";
  }
  Hours {
    Int32 actual_range 0, 120;
    String long_name "Hours";
    String units "hours";
  }
  Treatment {
    String long_name "Treatment";
    String units "unitless";
  }
  Replicate {
    String long_name "Replicate";
    String units "unitless";
  }
  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 35.92353, 41.01471;
    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 -124.4163, -121.5429;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  NO3 {
    Float32 actual_range -0.023, 22.1;
    String long_name "No3";
    String units "micromolar (uM)";
  }
  PO4 {
    Float32 actual_range 0.194, 2.33;
    String long_name "Po4";
    String units "micromolar (uM)";
  }
  SiOH4 {
    Float32 actual_range 0.0, 34.5;
    String long_name "Sioh4";
    String units "micromolar (uM)";
  }
  chl_a_gt_5um {
    Float32 actual_range 0.0138918, 14.84532;
    String long_name "Chl_a_gt_5um";
    String units "micrograms per liter (ug/L)";
  }
  chl_a_GFF {
    Float32 actual_range -0.0212898, 1.55358;
    String long_name "Chl_a_gff";
    String units "micrograms per liter (ug/L)";
  }
  chl_a_Total {
    Float32 actual_range 0.0166866, 11.85324;
    String long_name "Chl_a_total";
    String units "micrograms per liter (ug/L)";
  }
  Fv_Fm {
    Float32 actual_range 0.279, 0.611;
    String long_name "Fv_fm";
    String units "unitless";
  }
  Sigma {
    Int32 actual_range 248, 1005;
    String long_name "Sigma";
    String units "unitless";
  }
  PON_gt_5um {
    Float32 actual_range 0.1518217, 18.35824;
    String long_name "Pon_gt_5um";
    String units "micromoles per liter (umol/L)";
  }
  PON_GFF {
    Float32 actual_range 0.2347731, 4.86793;
    String long_name "Pon_gff";
    String units "micromoles per liter (umol/L)";
  }
  PON_Total {
    Float32 actual_range 0.3969211, 20.2548;
    String long_name "Pon_total";
    String units "micromoles per liter (umol/L)";
  }
  POC_gt_5um {
    Float32 actual_range -0.4438948, 185.2285;
    String long_name "Poc_gt_5um";
    String units "micromoles per liter (umol/L)";
  }
  POC_GFF {
    Float32 actual_range -0.0020471, 28.16849;
    String long_name "Poc_gff";
    String units "micromoles per liter (umol/L)";
  }
  POC_Total {
    Float32 actual_range 0.0690021, 196.2137;
    String long_name "Poc_total";
    String units "micromoles per liter (umol/L)";
  }
  N_Uptake_gt_5um {
    Float32 actual_range 0.0176493, 9.650486;
    String long_name "N_uptake_gt_5um";
    String units "micromoles per liter per day (umol/L/day)";
  }
  N_Uptake_GFF {
    Float32 actual_range 0.0162029, 1.384334;
    String long_name "N_uptake_gff";
    String units "micromoles per liter per day (umol/L/day)";
  }
  N_Uptake_Total {
    Float32 actual_range 0.0392619, 10.06306;
    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 0.0505332, 0.900757;
    String long_name "Biomass_normalized_n_uptake_gt_5um";
    String units "per day";
  }
  Biomass_normalized_N_Uptake_GFF {
    Float32 actual_range 0.0426665, 0.4607246;
    String long_name "Biomass_normalized_n_uptake_gff";
    String units "per day";
  }
  Biomass_normalized_N_Uptake_Total {
    Float32 actual_range 0.1179996, 1.292037;
    String long_name "Biomass_normalized_n_uptake_total";
    String units "per day";
  }
  C_Uptake_5um {
    Float32 actual_range -0.0439365, 226.1147;
    String long_name "C_uptake_5um";
    String units "micromoles per liter per day (umol/L/day)";
  }
  C_Uptake_GFF {
    Float32 actual_range -1.76e-4, 26.58769;
    String long_name "C_uptake_gff";
    String units "micromoles per liter per day (umol/L/day)";
  }
  C_Uptake_Total {
    Float32 actual_range -0.0045826, 231.3316;
    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 0.0166, 1.5902;
    String long_name "Biomass_normalized_c_uptake_gt_5um";
    String units "per day";
  }
  Biomass_normalized_C_Uptake_GFF {
    Float32 actual_range 0.0128, 0.9587;
    String long_name "Biomass_normalized_c_uptake_gff";
    String units "per day";
  }
  Biomass_normalized_C_Uptake_Total {
    Float32 actual_range 0.0293456, 2.308585;
    String long_name "Biomass_normalized_c_uptake_total";
    String units "per day";
  }
  Particulate_DA {
    Float32 actual_range 0.027, 12.402;
    String long_name "Particulate_da";
    String units "micrograms per liter (ug/L)";
  }
  Dissolved_DA {
    Float32 actual_range 0.0, 12.91;
    String long_name "Dissolved_da";
    String units "micrograms per liter (ug/L)";
  }
  Dissolved_Y {
    Float32 actual_range 101.0231, 194.4722;
    String long_name "Dissolved_y";
    String units "picomoles per kilogram (pmol/kg)";
  }
  Dissolved_Cd {
    Float32 actual_range 100.3228, 796.1678;
    String long_name "Dissolved_cd";
    String units "picomoles per kilogram (pmol/kg)";
  }
  Dissolved_La {
    Float32 actual_range 15.88603, 51.45339;
    String long_name "Dissolved_la";
    String units "picomoles per kilogram (pmol/kg)";
  }
  Dissolved_Pb {
    Float32 actual_range 16.29469, 82.12563;
    String long_name "Dissolved_pb";
    String units "picomoles per kilogram (pmol/kg)";
  }
  Dissolved_Ce {
    Float32 actual_range 5.275867, 38.30345;
    String long_name "Dissolved_ce";
    String units "picomoles per kilogram (pmol/kg)";
  }
  Dissolved_Sc {
    Float32 actual_range 0.791731, 13.88508;
    String long_name "Dissolved_sc";
    String units "picomoles per kilogram (pmol/kg)";
  }
  Dissolved_Mn {
    Float32 actual_range 0.918466, 10.77443;
    String long_name "Dissolved_mn";
    String units "nanomoles per kilogram (nmol/kg)";
  }
  Dissolved_Co {
    Float32 actual_range 62.46153, 563.6546;
    String long_name "Dissolved_co";
    String units "picomoles per kilogram (pmol/kg)";
  }
  Dissolved_Ni {
    Float32 actual_range 3.041688, 10.87644;
    String long_name "Dissolved_ni";
    String units "nanomoles per kilogram (nmol/kg)";
  }
  Dissolved_Cu {
    Float32 actual_range 0.7565952, 8.093715;
    String long_name "Dissolved_cu";
    String units "nanomoles per kilogram (nmol/kg)";
  }
  Dissolved_Zn {
    Float32 actual_range 0.1360039, 5.341446;
    String long_name "Dissolved_zn";
    String units "nanomoles per kilogram (nmol/kg)";
  }
  Dissolved_Fe {
    Float32 actual_range 0.055, 6.038;
    String long_name "Dissolved_fe";
    String units "nanomoles per kilogram (nmol/kg)";
  }
  Particulate_Fe_pFe_leached_gt_5um {
    Float32 actual_range 0.181, 16.306;
    String long_name "Particulate_fe_pfe_leached_gt_5um";
    String units "nanomoles per kilogram (nmol/kg)";
  }
  Fe_N_ratio {
    Float32 actual_range 0.0218, 4.6151;
    String long_name "Fe_n_ratio";
    String units "unitless";
  }
  Fe_uptake_lt_5um {
    Float32 actual_range 0.0, 0.897;
    String long_name "Fe_uptake_lt_5um";
    String units "picomoles Fe per liter per hour (pmol Fe/L/h)";
  }
  Fe_uptake_gt_5um {
    Float32 actual_range 0.021, 0.687;
    String long_name "Fe_uptake_gt_5um";
    String units "picomoles Fe per liter per hour (pmol Fe/L/h)";
  }
  Fe_uptake_lt_5um_pmol_Fe_ug_Chla_h {
    Float32 actual_range 0.288, 26.573;
    String long_name "Fe_uptake_lt_5um_pmol_fe_ug_chla_h";
    String units "picomoles Fe per microgram chla per hour (pmol Fe/ug Chla/h)";
  }
  Fe_uptake_gt_5um_pmol_Fe_ug_Chla_h {
    Float32 actual_range 0.005, 22.598;
    String long_name "Fe_uptake_gt_5um_pmol_fe_ug_chla_h";
    String units "picomoles Fe per microgram chla per hour (pmol Fe/ug Chla/h)";
  }
  Fe_uptake_lt_5um_pmol_Fe_umol_POC_h {
    Float32 actual_range 0.019, 0.648;
    String long_name "Fe_uptake_lt_5um_pmol_fe_umol_poc_h";
    String units "picomoles Fe per micromole POC per hour (pmol Fe/umol POC/h)";
  }
  Fe_uptake_gt_5um_pmol_Fe_umol_POC_h {
    Float32 actual_range 0.001, 0.697;
    String long_name "Fe_uptake_gt_5um_pmol_fe_umol_poc_h";
    String units "picomoles Fe per micromole POC per hour (pmol Fe/umol POC/h)";
  }
 }
  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.949788.1";
    Float64 Easternmost_Easting -121.5429;
    Float64 geospatial_lat_max 41.01471;
    Float64 geospatial_lat_min 35.92353;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -121.5429;
    Float64 geospatial_lon_min -124.4163;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-08-16T08:11:44Z (local files)
2025-08-16T08:11:44Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_949788_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/949788";
    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 41.01471;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 35.92353;
    String summary 
"The primary objective of this study was to assess the physiological and molecular response of subsurface phytoplankton communities to a simulation of the Upwelling Conveyor Belt Cycle (UCBC). To capture this phenomenon, we performed on-deck incubation experiments that spanned different time points representing the different stages of growth (initial deep-water community at T0, and stimulated growth phases at T1 and T2). We further subjected the incubations to various Fe-related treatments to test how Fe might play a role in determining their physiological and molecular response to upwelling. 

The first incubation was conducted from 27 May to 01 June 2019 in a wide continental shelf, and the second incubation was conducted from 02 June to 06 June 2019 in a narrow continental shelf. For each time point, the incubation was harvested and analyzed for chlorophyll, nutrients, particulate organic carbon and nitrogen, and dissolved and particulate Fe and Sc concentrations. 6-hour incubations using trace concentrations of stable isotopes of 13C and 15N were also conducted to assess uptake kinetics of dissolved inorganic carbon (DIC) and nitrate (NO3) in bulk-size fractionated phytoplankton communities. PUPCYCLE I (Phytoplankton response to the UPwelling CYCLE) took place in summer 2019 onboard the R/V Oceanus (OC1905b), led by Chief Scientist Adrian Marchetti.";
    String title "[PUPCYCLE 2019 incubation experiments] - Incubation experiments to assess the physiological and molecular response of subsurface phytoplankton communities to a simulation of the Upwelling Conveyor Belt Cycle (UCBC) conducted in summer 2019 onboard the R/V Oceanus (OC1905b) (CAREER: An integrated molecular and physiological approach to examining the dynamics of upwelled phytoplankton in current and changing oceans)";
    Float64 Westernmost_Easting -124.4163;
  }
}

 

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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