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Dataset Title:	[July 2017 Incubation Experiment] - Phytoplankton physiology and composition under temperature-nutrient multi-stressor incubation from July 2017 in Narragansett Bay, RI (Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_966570_v1)
Information:	Summary | License | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
time_d (days)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	5
temp_C (degrees Celsius)	!= =~ <= >= = < >		!= =~ <= >= = < >		18	26
nutr (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"amended"	"initial"
gr_d (per day)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.93	2.06
gr_d_sd (per day)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.03	0.18
gz_d (per day)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.32	1.84
gz_d_sd (per day)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.02	0.08
chl_ugl (micrograms per liter (ug/L))	!= =~ <= >= = < >		!= =~ <= >= = < >		3.75	66.67
chl_ugl_sd (micrograms per liter (ug/L))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.32	21.19
chl_20um_per (percent)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.97	24.07
chl_5_20um_per (percent)	!= =~ <= >= = < >		!= =~ <= >= = < >		35.52	76.86
chl_5um_per (percent)	!= =~ <= >= = < >		!= =~ <= >= = < >		4.63	63.51
pon_uM (micromolar (uM))	!= =~ <= >= = < >		!= =~ <= >= = < >		9.002	29.723
pon_uM_sd (micromolar (uM))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.39	7.512
poc_uM (micromolar (uM))	!= =~ <= >= = < >		!= =~ <= >= = < >		60.857	173.077
poc_uM_sd (micromolar (uM))	!= =~ <= >= = < >		!= =~ <= >= = < >		1.672	46.156
bsi_uM (micromolar (uM))	!= =~ <= >= = < >		!= =~ <= >= = < >		2.497	7.014
bsi_uM_sd (micromolar (uM))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.145	3.543
c_n (unitless; mol:mol)	!= =~ <= >= = < >		!= =~ <= >= = < >		5.326	6.98
c_n_sd (unitless; mol:mol)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.029	0.733
bsi_c (unitless; mol:mol)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.041	0.072
bsi_c_sd (unitless; mol:mol)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003	0.067
chl_c (unitless; g:g)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.007	0.032
chl_c_sd (unitless; g:g)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	0.004
euk_cells_ml (cells per milliliter (cells/ml))	!= =~ <= >= = < >		!= =~ <= >= = < >		39154	130801
euk_cells_ml_sd (cells per milliliter (cells/ml))	!= =~ <= >= = < >		!= =~ <= >= = < >		3520	20924
syn_cells_ml (cells per milliliter (cells/ml))	!= =~ <= >= = < >		!= =~ <= >= = < >		1292	12275
syn_cells_ml_sd (cells per milliliter (cells/ml))	!= =~ <= >= = < >		!= =~ <= >= = < >		71	1050
ratio_euk_syn (unitless; cells:cells)	!= =~ <= >= = < >		!= =~ <= >= = < >		5.6	55.6
ratio_euk_syn_sd (unitless; cells:cells)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.3	9.1

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" time_d temp_C nutr gr_d gr_d_sd gz_d gz_d_sd chl_ugl chl_ugl_sd chl_20um_per chl_5_20um_per chl_5um_per pon_uM pon_uM_sd poc_uM poc_uM_sd bsi_uM bsi_uM_sd c_n c_n_sd bsi_c bsi_c_sd chl_c chl_c_sd euk_cells_ml euk_cells_ml_sd syn_cells_ml syn_cells_ml_sd ratio_euk_syn ratio_euk_syn_sd time_d temp_C nutr gr_d gr_d_sd gz_d gz_d_sd chl_ugl chl_ugl_sd chl_20um_per chl_5_20um_per chl_5um_per pon_uM pon_uM_sd poc_uM poc_uM_sd bsi_uM bsi_uM_sd c_n c_n_sd bsi_c bsi_c_sd chl_c chl_c_sd euk_cells_ml euk_cells_ml_sd syn_cells_ml syn_cells_ml_sd ratio_euk_syn ratio_euk_syn_sd time_d temp_C nutr gr_d gr_d_sd gz_d gz_d_sd chl_ugl chl_ugl_sd chl_20um_per chl_5_20um_per chl_5um_per pon_uM pon_uM_sd poc_uM poc_uM_sd bsi_uM bsi_uM_sd c_n c_n_sd bsi_c bsi_c_sd chl_c chl_c_sd euk_cells_ml euk_cells_ml_sd syn_cells_ml syn_cells_ml_sd ratio_euk_syn ratio_euk_syn_sd time_d temp_C nutr gr_d gr_d_sd gz_d gz_d_sd chl_ugl chl_ugl_sd chl_20um_per chl_5_20um_per chl_5um_per pon_uM pon_uM_sd poc_uM poc_uM_sd bsi_uM bsi_uM_sd c_n c_n_sd bsi_c bsi_c_sd chl_c chl_c_sd euk_cells_ml euk_cells_ml_sd syn_cells_ml syn_cells_ml_sd ratio_euk_syn ratio_euk_syn_sd time_d temp_C nutr gr_d gr_d_sd gz_d gz_d_sd chl_ugl chl_ugl_sd chl_20um_per chl_5_20um_per chl_5um_per pon_uM pon_uM_sd poc_uM poc_uM_sd bsi_uM bsi_uM_sd c_n c_n_sd bsi_c bsi_c_sd chl_c chl_c_sd euk_cells_ml euk_cells_ml_sd syn_cells_ml syn_cells_ml_sd ratio_euk_syn ratio_euk_syn_sd ")

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).

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time_d {
    Int32 actual_range 0, 5;
    String long_name "Time_d";
    String units "days";
  }
  temp_C {
    Int32 actual_range 18, 26;
    String long_name "Temp_c";
    String units "degrees Celsius";
  }
  nutr {
    String long_name "Nutr";
    String units "unitless";
  }
  gr_d {
    Float32 actual_range 0.93, 2.06;
    String long_name "Gr_d";
    String units "per day";
  }
  gr_d_sd {
    Float32 actual_range 0.03, 0.18;
    String long_name "Gr_d_sd";
    String units "per day";
  }
  gz_d {
    Float32 actual_range 0.32, 1.84;
    String long_name "Gz_d";
    String units "per day";
  }
  gz_d_sd {
    Float32 actual_range 0.02, 0.08;
    String long_name "Gz_d_sd";
    String units "per day";
  }
  chl_ugl {
    Float32 actual_range 3.75, 66.67;
    String long_name "Chl_ugl";
    String units "micrograms per liter (ug/L)";
  }
  chl_ugl_sd {
    Float32 actual_range 0.32, 21.19;
    String long_name "Chl_ugl_sd";
    String units "micrograms per liter (ug/L)";
  }
  chl_20um_per {
    Float32 actual_range 0.97, 24.07;
    String long_name "Chl_20um_per";
    String units "percent";
  }
  chl_5_20um_per {
    Float32 actual_range 35.52, 76.86;
    String long_name "Chl_5_20um_per";
    String units "percent";
  }
  chl_5um_per {
    Float32 actual_range 4.63, 63.51;
    String long_name "Chl_5um_per";
    String units "percent";
  }
  pon_uM {
    Float32 actual_range 9.002, 29.723;
    String long_name "Pon_um";
    String units "micromolar (uM)";
  }
  pon_uM_sd {
    Float32 actual_range 0.39, 7.512;
    String long_name "Pon_um_sd";
    String units "micromolar (uM)";
  }
  poc_uM {
    Float32 actual_range 60.857, 173.077;
    String long_name "Poc_um";
    String units "micromolar (uM)";
  }
  poc_uM_sd {
    Float32 actual_range 1.672, 46.156;
    String long_name "Poc_um_sd";
    String units "micromolar (uM)";
  }
  bsi_uM {
    Float32 actual_range 2.497, 7.014;
    String long_name "Bsi_um";
    String units "micromolar (uM)";
  }
  bsi_uM_sd {
    Float32 actual_range 0.145, 3.543;
    String long_name "Bsi_um_sd";
    String units "micromolar (uM)";
  }
  c_n {
    Float32 actual_range 5.326, 6.98;
    String long_name "C_n";
    String units "unitless; mol:mol";
  }
  c_n_sd {
    Float32 actual_range 0.029, 0.733;
    String long_name "C_n_sd";
    String units "unitless; mol:mol";
  }
  bsi_c {
    Float32 actual_range 0.041, 0.072;
    String long_name "Bsi_c";
    String units "unitless; mol:mol";
  }
  bsi_c_sd {
    Float32 actual_range 0.003, 0.067;
    String long_name "Bsi_c_sd";
    String units "unitless; mol:mol";
  }
  chl_c {
    Float32 actual_range 0.007, 0.032;
    String long_name "Chl_c";
    String units "unitless; g:g";
  }
  chl_c_sd {
    Float32 actual_range 0.0, 0.004;
    String long_name "Chl_c_sd";
    String units "unitless; g:g";
  }
  euk_cells_ml {
    Int32 actual_range 39154, 130801;
    String long_name "Euk_cells_ml";
    String units "cells per milliliter (cells/ml)";
  }
  euk_cells_ml_sd {
    Int32 actual_range 3520, 20924;
    String long_name "Euk_cells_ml_sd";
    String units "cells per milliliter (cells/ml)";
  }
  syn_cells_ml {
    Int32 actual_range 1292, 12275;
    String long_name "Syn_cells_ml";
    String units "cells per milliliter (cells/ml)";
  }
  syn_cells_ml_sd {
    Int32 actual_range 71, 1050;
    String long_name "Syn_cells_ml_sd";
    String units "cells per milliliter (cells/ml)";
  }
  ratio_euk_syn {
    Float32 actual_range 5.6, 55.6;
    String long_name "Ratio_euk_syn";
    String units "unitless; cells:cells";
  }
  ratio_euk_syn_sd {
    Float32 actual_range 0.3, 9.1;
    String long_name "Ratio_euk_syn_sd";
    String units "unitless; cells:cells";
  }
 }
  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.966570.1";
    String history 
"2025-08-15T21:19:59Z (local files)
2025-08-15T21:19:59Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_966570_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/966570";
    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 "These data include measurements of phytoplankton physiology and composition from a controlled multi-stressor incubation experiment conducted in July 2017. Whole phytoplankton communities were collected from the Narragansett Bay Long-Term Plankton Time Series site and incubated at the in-situ temperature (22 degrees Celsius) and at deviations from that temperature (±4 degrees Celsius) with both macronutrient amendments (N, P, Si addition) and unamended controls. Phytoplankton growth, abundance, size structure, and elemental composition, as well as microzooplankton grazing rates were measured throughout the incubations. These data improve our understanding of the phytoplankton community response to short-term changes in temperature or nutrients, providing valuable insight into the drivers of marine ecosystems.";
    String title "[July 2017 Incubation Experiment] - Phytoplankton physiology and composition under temperature-nutrient multi-stressor incubation from July 2017 in Narragansett Bay, RI (Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients)";
  }
}

 

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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.

 

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