ERDDAP > tabledap > Data Access Form

Dataset Title:	[DDA nutrient acquisition] - Hemiaulus-Richelia physiological response to different nitrogen sources (META-DDA: METabolic Activities of Diatom-Diazotroph Associations)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_921924_v1)
Information:	Summary | License | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
Flask (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"F1"	"NegCon"
Time_gp (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Final"	"Innoc"
Timepoint (days)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0"	"Innoc"
Treatment (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"+NH4"	"Only N2"
RFU_Turner (relative fluorescence units)	!= =~ <= >= = < >		!= =~ <= >= = < >		2.84	17.3
chla (micrograms per cell (ug/cell))	!= =~ <= >= = < >		!= =~ <= >= = < >		3.018398	69.13649
phaeophytin (micrograms per cell (ug/cell))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.2793137	12.58722
Hemiaulus_cellspermL (cells per milliliter (cells/mL))	!= =~ <= >= = < >		!= =~ <= >= = < >		953.678	8213.115
Richelia_cellspermL (cells per milliliter (cells/mL))	!= =~ <= >= = < >		!= =~ <= >= = < >		893.0482	7941.176
Asymb_cellspermL (cells per milliliter (cells/mL))	!= =~ <= >= = < >		!= =~ <= >= = < >		520.7082	3786.885
Hemaiulus_mean_SA (square micrometers (um^2))	!= =~ <= >= = < >		!= =~ <= >= = < >		1327.065	1789.848
Hemaiulus_mean_vol (cubic micrometers (um^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		2703.862	3894.185
Richelia_mean_SA (square micrometers (um^2))	!= =~ <= >= = < >		!= =~ <= >= = < >		82.72939	115.9413
Richelia_mean_vol (cubic micrometers (um^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		41.40291	71.29345
NO3_uM (micromolar (uM))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.1517517	8.522631
NO2_uM (micromolar (uM))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.01840501	0.173316
NH4_uM (micromolar (uM))	!= =~ <= >= = < >		!= =~ <= >= = < >		4.01E-5	7.578243
SiOH4_uM (micromolar (uM))	!= =~ <= >= = < >		!= =~ <= >= = < >		14.86	99.25337
PO4_uM (micromolar (uM))	!= =~ <= >= = < >		!= =~ <= >= = < >		11.9313	15.56466
TDN_uM (micromolar (uM))	!= =~ <= >= = < >		!= =~ <= >= = < >		10.83	23.2
Part_vol_mL (milliliters (mL))	!= =~ <= >= = < >		!= =~ <= >= = < >		94	100
PC (micromolar (uM))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.043	0.262015
PN (micromolar (uM))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.007	0.04988695
Fv_Fm (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.766	0.873
sigma (square Angstroms per quanta (Å^2 (quanta)^-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		541	1099
d15N (parts per thousand (ppt))	!= =~ <= >= = < >		!= =~ <= >= = < >		-5.86	389.59
massN_mg (milligrams (mg))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.03	0.309
d13C (parts per thousand (ppt))	!= =~ <= >= = < >		!= =~ <= >= = < >		205.98	1933.71
massC_mg (milligrams (mg))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.197	1.863
atperc_15N2_N2 (percent)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.4555125	1.30702
vol_filt_L (liters (L))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.15	0.275
inc_time_min (minutes)	!= =~ <= >= = < >		!= =~ <= >= = < >		1449	1490
pp_rate_ugCperLperday (micrograms C per liter per day (ug C L^-1 d^-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		30.71771	3223.586
NFR_nmolNperLperday (nanomoles N per liter per day (nM N L^-1 d^-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		-855.4695	5803.451

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Flask Time_gp Timepoint Treatment RFU_Turner chla phaeophytin Hemiaulus_cellspermL Richelia_cellspermL Asymb_cellspermL Hemaiulus_mean_SA Hemaiulus_mean_vol Richelia_mean_SA Richelia_mean_vol NO3_uM NO2_uM NH4_uM SiOH4_uM PO4_uM TDN_uM Part_vol_mL PC PN Fv_Fm sigma d15N massN_mg d13C massC_mg atperc_15N2_N2 vol_filt_L inc_time_min pp_rate_ugCperLperday NFR_nmolNperLperday Flask Time_gp Timepoint Treatment RFU_Turner chla phaeophytin Hemiaulus_cellspermL Richelia_cellspermL Asymb_cellspermL Hemaiulus_mean_SA Hemaiulus_mean_vol Richelia_mean_SA Richelia_mean_vol NO3_uM NO2_uM NH4_uM SiOH4_uM PO4_uM TDN_uM Part_vol_mL PC PN Fv_Fm sigma d15N massN_mg d13C massC_mg atperc_15N2_N2 vol_filt_L inc_time_min pp_rate_ugCperLperday NFR_nmolNperLperday Flask Time_gp Timepoint Treatment RFU_Turner chla phaeophytin Hemiaulus_cellspermL Richelia_cellspermL Asymb_cellspermL Hemaiulus_mean_SA Hemaiulus_mean_vol Richelia_mean_SA Richelia_mean_vol NO3_uM NO2_uM NH4_uM SiOH4_uM PO4_uM TDN_uM Part_vol_mL PC PN Fv_Fm sigma d15N massN_mg d13C massC_mg atperc_15N2_N2 vol_filt_L inc_time_min pp_rate_ugCperLperday NFR_nmolNperLperday Flask Time_gp Timepoint Treatment RFU_Turner chla phaeophytin Hemiaulus_cellspermL Richelia_cellspermL Asymb_cellspermL Hemaiulus_mean_SA Hemaiulus_mean_vol Richelia_mean_SA Richelia_mean_vol NO3_uM NO2_uM NH4_uM SiOH4_uM PO4_uM TDN_uM Part_vol_mL PC PN Fv_Fm sigma d15N massN_mg d13C massC_mg atperc_15N2_N2 vol_filt_L inc_time_min pp_rate_ugCperLperday NFR_nmolNperLperday Flask Time_gp Timepoint Treatment RFU_Turner chla phaeophytin Hemiaulus_cellspermL Richelia_cellspermL Asymb_cellspermL Hemaiulus_mean_SA Hemaiulus_mean_vol Richelia_mean_SA Richelia_mean_vol NO3_uM NO2_uM NH4_uM SiOH4_uM PO4_uM TDN_uM Part_vol_mL PC PN Fv_Fm sigma d15N massN_mg d13C massC_mg atperc_15N2_N2 vol_filt_L inc_time_min pp_rate_ugCperLperday NFR_nmolNperLperday ")

File type: (more information) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .dataTable - A JSON file formatted for use with the Google Visualization client library (Google Charts). .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .dods - OPeNDAP clients use this to download the data in the DODS binary format. .esriCsv - Download a ISO_8859_1 .csv file for ESRI's ArcGIS 9.x and below (separate date and time columns). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .geoJson - Download longitude,latitude,otherColumns data as a UTF-8 GeoJSON .json file. .graph - View a Make A Graph web page. .help - View a web page with a description of tabledap. .html - View an OPeNDAP-style HTML Data Access Form. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .iso19115 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each response column becomes a wave. .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .jsonlCSV1 - View a UTF-8 JSON Lines CSV file with column names on line 1 (mv = 'null'; times are ISO 8601 strings). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = 'null'; times are ISO 8601 strings). .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .mat - Download a MATLAB binary file. .nc - Download a flat, table-like, NetCDF-3 binary file with COARDS/CF/ACDD metadata. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .ncCF - Download a NetCDF-3 CF Discrete Sampling Geometries file (Contiguous Ragged Array). .ncCFHeader - View the UTF-8 header (the metadata) for the .ncCF file. .ncCFMA - Download a NetCDF-3 CF Discrete Sampling Geometries file (Multidimensional Array). .ncCFMAHeader - View the UTF-8 header (the metadata) for the .ncCFMA file. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .odvTxt - Download longitude,latitude,time,otherColumns as an ISO-8859-1 ODV Generic Spreadsheet File (.txt). .subset - View an HTML form which uses faceted search to simplify picking subsets of the data. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .wav - Download a .wav audio file. All columns must be numeric and of the same type. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. Times are ISO 8601 strings. .kml - View a .kml file, suitable for Google Earth. .smallPdf - View a small .pdf image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .smallPng - View a small .png image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .largePng - View a large .png image file with a graph or map. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend).

(Documentation / Bypass this form )
 
Submit (Please be patient. It may take a while to get the data.)

 

---

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Flask {
    String long_name "Flask";
    String units "unitless";
  }
  Time_gp {
    String long_name "Time_gp";
    String units "unitless";
  }
  Timepoint {
    String long_name "Timepoint";
    String units "days";
  }
  Treatment {
    String long_name "Treatment";
    String units "unitless";
  }
  RFU_Turner {
    Float32 actual_range 2.84, 17.3;
    String long_name "Rfu_turner";
    String units "relative fluorescence units";
  }
  chla {
    Float32 actual_range 3.018398, 69.13649;
    String long_name "Chla";
    String units "micrograms per cell (ug/cell)";
  }
  phaeophytin {
    Float32 actual_range 0.2793137, 12.58722;
    String long_name "Phaeophytin";
    String units "micrograms per cell (ug/cell)";
  }
  Hemiaulus_cellspermL {
    Float32 actual_range 953.678, 8213.115;
    String long_name "Hemiaulus_cellsperml";
    String units "cells per milliliter (cells/mL)";
  }
  Richelia_cellspermL {
    Float32 actual_range 893.0482, 7941.176;
    String long_name "Richelia_cellsperml";
    String units "cells per milliliter (cells/mL)";
  }
  Asymb_cellspermL {
    Float32 actual_range 520.7082, 3786.885;
    String long_name "Asymb_cellsperml";
    String units "cells per milliliter (cells/mL)";
  }
  Hemaiulus_mean_SA {
    Float32 actual_range 1327.065, 1789.848;
    String long_name "Hemaiulus_mean_sa";
    String units "square micrometers (um^2)";
  }
  Hemaiulus_mean_vol {
    Float32 actual_range 2703.862, 3894.185;
    String long_name "Hemaiulus_mean_vol";
    String units "cubic micrometers (um^3)";
  }
  Richelia_mean_SA {
    Float32 actual_range 82.72939, 115.9413;
    String long_name "Richelia_mean_sa";
    String units "square micrometers (um^2)";
  }
  Richelia_mean_vol {
    Float32 actual_range 41.40291, 71.29345;
    String long_name "Richelia_mean_vol";
    String units "cubic micrometers (um^3)";
  }
  NO3_uM {
    Float32 actual_range 0.1517517, 8.522631;
    String long_name "No3_um";
    String units "micromolar (uM)";
  }
  NO2_uM {
    Float32 actual_range 0.01840501, 0.173316;
    String long_name "No2_um";
    String units "micromolar (uM)";
  }
  NH4_uM {
    Float32 actual_range 4.01e-5, 7.578243;
    String long_name "Nh4_um";
    String units "micromolar (uM)";
  }
  SiOH4_uM {
    Float32 actual_range 14.86, 99.25337;
    String long_name "Sioh4_um";
    String units "micromolar (uM)";
  }
  PO4_uM {
    Float32 actual_range 11.9313, 15.56466;
    String long_name "Po4_um";
    String units "micromolar (uM)";
  }
  TDN_uM {
    Float32 actual_range 10.83, 23.2;
    String long_name "Tdn_um";
    String units "micromolar (uM)";
  }
  Part_vol_mL {
    Int32 actual_range 94, 100;
    String long_name "Part_vol_ml";
    String units "milliliters (mL)";
  }
  PC {
    Float32 actual_range 0.043, 0.262015;
    String long_name "Pc";
    String units "micromolar (uM)";
  }
  PN {
    Float32 actual_range 0.007, 0.04988695;
    String long_name "Pn";
    String units "micromolar (uM)";
  }
  Fv_Fm {
    Float32 actual_range 0.766, 0.873;
    String long_name "Fv_fm";
    String units "unitless";
  }
  sigma {
    Int32 actual_range 541, 1099;
    String long_name "Sigma";
    String units "square Angstroms per quanta (Å^2 (quanta)^-1)";
  }
  d15N {
    Float32 actual_range -5.86, 389.59;
    String long_name "D15n";
    String units "parts per thousand (ppt)";
  }
  massN_mg {
    Float32 actual_range 0.03, 0.309;
    String long_name "Massn_mg";
    String units "milligrams (mg)";
  }
  d13C {
    Float32 actual_range 205.98, 1933.71;
    String long_name "D13c";
    String units "parts per thousand (ppt)";
  }
  massC_mg {
    Float32 actual_range 0.197, 1.863;
    String long_name "Massc_mg";
    String units "milligrams (mg)";
  }
  atperc_15N2_N2 {
    Float32 actual_range 0.4555125, 1.30702;
    String long_name "Atperc_15n2_n2";
    String units "percent";
  }
  vol_filt_L {
    Float32 actual_range 0.15, 0.275;
    String long_name "Vol_filt_l";
    String units "liters (L)";
  }
  inc_time_min {
    Int32 actual_range 1449, 1490;
    String long_name "Inc_time_min";
    String units "minutes";
  }
  pp_rate_ugCperLperday {
    Float32 actual_range 30.71771, 3223.586;
    String long_name "Pp_rate_ugcperlperday";
    String units "micrograms C per liter per day (ug C L^-1 d^-1)";
  }
  NFR_nmolNperLperday {
    Float32 actual_range -855.4695, 5803.451;
    String long_name "Nfr_nmolnperlperday";
    String units "nanomoles N per liter per day (nM N L^-1 d^-1)";
  }
 }
  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 history 
"2026-01-19T14:46:30Z (local files)
2026-01-19T14:46:30Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_921924_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/921924";
    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 "Diatom-diazotroph associations (DDAs) play an important role at the base of the food web by fixing both carbon dioxide and nitrogen gas into organic matter. The ability of DDAs to fix nitrogen allows the relatively large diatom host to survive under nitrogen-deplete conditions and, thus, contribute significantly to organic carbon export in oligotrophic waters. Yet, relatively little is known about this symbiosis, in part because it has historically been difficult to maintain DDAs in culture. Here, we isolated the DDA Hemiaulus-Richelia from the Sargasso Sea and developed a protocol to maintain it in laboratory culture for long time periods (years). Experiments were conducted to determine how Hemiaulus-Richelia responds to different nitrogen sources with measurements of growth and nitrogen fixation.";
    String title "[DDA nutrient acquisition] - Hemiaulus-Richelia physiological response to different nitrogen sources (META-DDA: METabolic Activities of Diatom-Diazotroph Associations)";
  }
}

 

---

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 Data Access Protocol (DAP) and its selection constraints.

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.

 

---

ERDDAP, Version 2.22
Disclaimers | Privacy Policy | Contact