ERDDAP > tabledap > Data Access Form

Dataset Title:	[Coastal DOM Galveston Bay] - Biochemical data on dissolved organic matter composition from Galveston Bay collected on five one-day trips aboard R/V Trident following Hurricane Harvey from September 4 to 28, 2017 (Collaborative Research: Distribution and Cycling of Carboxyl-Rich Alicyclic Molecules (CRAM) in the Ocean)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_982177_v1)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
Date (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2017-09-04"	"2017-09-28"
Station (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"H1"	"H9"
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		29.33278	29.6725
longitude (Long, degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-94.9789	-94.6886
Salinity (psu)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	22.55
DOC (micromoles per liter (umol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		240	566
a254 (per meter (m-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		18.5	67.2
SUVA (L mgC-1 m-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		2.74	4.3
S275_295 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.013	0.019
S350_400 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.013	0.018
SR (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.82	1.18
HIX (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		2.68	8.3
BIX (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.58	0.85
FI (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1.13	1.22
C1 (Raman units)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.18	0.76
C2 (Raman units)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.08	0.38
C3 (Raman units)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.12	0.42
C4 (Raman units)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.05	0.51
PAL (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		11.2	52.5
PON (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		5.4	25.1
PAD (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		11.8	51.4
VAL (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		26.2	244.9
VON (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		11.8	100.6
VAD (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		18.0	186.9
SAL (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		13.3	99.6
SON (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		4.5	32.3
SAD (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		5.5	41.4
CAD (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		3.0	17.0
FAD (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		2.8	20.2
TDLP9 (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		109	832
P_V (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.24	0.57
S_V (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.32	0.48
C_V (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.06	0.13
Ad_AlV (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.64	0.88
Ad_AlS (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.39	0.52
His (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		8	43
Thr (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		45	229
Gly (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		184	711
Arg (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		16	145
Tyr (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		8	68
Val (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		22	202
Ileu (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		8	57
Phe (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		0	101
Leu (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		11	236
Lys (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		17	168
Ala (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		85	479
Ser (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		69	265
Glx (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		56	417
Asx (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		88	484
DAA (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		41	140
THAA (nanomoles per liter (nmol L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		619	3605

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Date Station latitude longitude Salinity DOC a254 SUVA S275_295 S350_400 SR HIX BIX FI C1 C2 C3 C4 PAL PON PAD VAL VON VAD SAL SON SAD CAD FAD TDLP9 P_V S_V C_V Ad_AlV Ad_AlS His Thr Gly Arg Tyr Val Ileu Phe Leu Lys Ala Ser Glx Asx DAA THAA Date Station latitude longitude Salinity DOC a254 SUVA S275_295 S350_400 SR HIX BIX FI C1 C2 C3 C4 PAL PON PAD VAL VON VAD SAL SON SAD CAD FAD TDLP9 P_V S_V C_V Ad_AlV Ad_AlS His Thr Gly Arg Tyr Val Ileu Phe Leu Lys Ala Ser Glx Asx DAA THAA Date Station latitude longitude Salinity DOC a254 SUVA S275_295 S350_400 SR HIX BIX FI C1 C2 C3 C4 PAL PON PAD VAL VON VAD SAL SON SAD CAD FAD TDLP9 P_V S_V C_V Ad_AlV Ad_AlS His Thr Gly Arg Tyr Val Ileu Phe Leu Lys Ala Ser Glx Asx DAA THAA Date Station latitude longitude Salinity DOC a254 SUVA S275_295 S350_400 SR HIX BIX FI C1 C2 C3 C4 PAL PON PAD VAL VON VAD SAL SON SAD CAD FAD TDLP9 P_V S_V C_V Ad_AlV Ad_AlS His Thr Gly Arg Tyr Val Ileu Phe Leu Lys Ala Ser Glx Asx DAA THAA Date Station latitude longitude Salinity DOC a254 SUVA S275_295 S350_400 SR HIX BIX FI C1 C2 C3 C4 PAL PON PAD VAL VON VAD SAL SON SAD CAD FAD TDLP9 P_V S_V C_V Ad_AlV Ad_AlS His Thr Gly Arg Tyr Val Ileu Phe Leu Lys Ala Ser Glx Asx DAA THAA ")

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 {
  Date {
    String long_name "Date";
    String units "unitless";
  }
  Station {
    String long_name "Station";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 29.33278, 29.6725;
    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 -94.9789, -94.6886;
    String axis "X";
    String ioos_category "Location";
    String long_name "Long";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Salinity {
    Float32 actual_range 0.0, 22.55;
    String long_name "Salinity";
    String units "psu";
  }
  DOC {
    Int32 actual_range 240, 566;
    String long_name "Doc";
    String units "micromoles per liter (umol L-1)";
  }
  a254 {
    Float32 actual_range 18.5, 67.2;
    String long_name "A254";
    String units "per meter (m-1)";
  }
  SUVA {
    Float32 actual_range 2.74, 4.3;
    String long_name "Suva";
    String units "L mgC-1  m-1";
  }
  S275_295 {
    Float32 actual_range 0.013, 0.019;
    String long_name "S275_295";
    String units "unitless";
  }
  S350_400 {
    Float32 actual_range 0.013, 0.018;
    String long_name "S350_400";
    String units "unitless";
  }
  SR {
    Float32 actual_range 0.82, 1.18;
    String long_name "Sr";
    String units "unitless";
  }
  HIX {
    Float32 actual_range 2.68, 8.3;
    String long_name "Hix";
    String units "unitless";
  }
  BIX {
    Float32 actual_range 0.58, 0.85;
    String long_name "Bix";
    String units "unitless";
  }
  FI {
    Float32 actual_range 1.13, 1.22;
    String long_name "Fi";
    String units "unitless";
  }
  C1 {
    Float32 actual_range 0.18, 0.76;
    String long_name "C1";
    String units "Raman units";
  }
  C2 {
    Float32 actual_range 0.08, 0.38;
    String long_name "C2";
    String units "Raman units";
  }
  C3 {
    Float32 actual_range 0.12, 0.42;
    String long_name "C3";
    String units "Raman units";
  }
  C4 {
    Float32 actual_range 0.05, 0.51;
    String long_name "C4";
    String units "Raman units";
  }
  PAL {
    Float32 actual_range 11.2, 52.5;
    String long_name "Pal";
    String units "nanomoles per liter (nmol L-1)";
  }
  PON {
    Float32 actual_range 5.4, 25.1;
    String long_name "Pon";
    String units "nanomoles per liter (nmol L-1)";
  }
  PAD {
    Float32 actual_range 11.8, 51.4;
    String long_name "Pad";
    String units "nanomoles per liter (nmol L-1)";
  }
  VAL {
    Float32 actual_range 26.2, 244.9;
    String long_name "Val";
    String units "nanomoles per liter (nmol L-1)";
  }
  VON {
    Float32 actual_range 11.8, 100.6;
    String long_name "Von";
    String units "nanomoles per liter (nmol L-1)";
  }
  VAD {
    Float32 actual_range 18.0, 186.9;
    String long_name "Vad";
    String units "nanomoles per liter (nmol L-1)";
  }
  SAL {
    Float32 actual_range 13.3, 99.6;
    String long_name "Sal";
    String units "nanomoles per liter (nmol L-1)";
  }
  SON {
    Float32 actual_range 4.5, 32.3;
    String long_name "Son";
    String units "nanomoles per liter (nmol L-1)";
  }
  SAD {
    Float32 actual_range 5.5, 41.4;
    String long_name "Sad";
    String units "nanomoles per liter (nmol L-1)";
  }
  CAD {
    Float32 actual_range 3.0, 17.0;
    String long_name "Cad";
    String units "nanomoles per liter (nmol L-1)";
  }
  FAD {
    Float32 actual_range 2.8, 20.2;
    String long_name "Fad";
    String units "nanomoles per liter (nmol L-1)";
  }
  TDLP9 {
    Int32 actual_range 109, 832;
    String long_name "Tdlp9";
    String units "nanomoles per liter (nmol L-1)";
  }
  P_V {
    Float32 actual_range 0.24, 0.57;
    String long_name "P_v";
    String units "unitless";
  }
  S_V {
    Float32 actual_range 0.32, 0.48;
    String long_name "S_v";
    String units "unitless";
  }
  C_V {
    Float32 actual_range 0.06, 0.13;
    String long_name "C_v";
    String units "unitless";
  }
  Ad_AlV {
    Float32 actual_range 0.64, 0.88;
    String long_name "Ad_alv";
    String units "unitless";
  }
  Ad_AlS {
    Float32 actual_range 0.39, 0.52;
    String long_name "Ad_als";
    String units "unitless";
  }
  His {
    Int32 actual_range 8, 43;
    String long_name "His";
    String units "nanomoles per liter (nmol L-1)";
  }
  Thr {
    Int32 actual_range 45, 229;
    String long_name "Thr";
    String units "nanomoles per liter (nmol L-1)";
  }
  Gly {
    Int32 actual_range 184, 711;
    String long_name "Gly";
    String units "nanomoles per liter (nmol L-1)";
  }
  Arg {
    Int32 actual_range 16, 145;
    String long_name "Arg";
    String units "nanomoles per liter (nmol L-1)";
  }
  Tyr {
    Int32 actual_range 8, 68;
    String long_name "Tyr";
    String units "nanomoles per liter (nmol L-1)";
  }
  Val {
    Int32 actual_range 22, 202;
    String long_name "Val";
    String units "nanomoles per liter (nmol L-1)";
  }
  Ileu {
    Int32 actual_range 8, 57;
    String long_name "Ileu";
    String units "nanomoles per liter (nmol L-1)";
  }
  Phe {
    Int32 actual_range 0, 101;
    String long_name "Phe";
    String units "nanomoles per liter (nmol L-1)";
  }
  Leu {
    Int32 actual_range 11, 236;
    String long_name "Leu";
    String units "nanomoles per liter (nmol L-1)";
  }
  Lys {
    Int32 actual_range 17, 168;
    String long_name "Lys";
    String units "nanomoles per liter (nmol L-1)";
  }
  Ala {
    Int32 actual_range 85, 479;
    String long_name "Ala";
    String units "nanomoles per liter (nmol L-1)";
  }
  Ser {
    Int32 actual_range 69, 265;
    String long_name "Ser";
    String units "nanomoles per liter (nmol L-1)";
  }
  Glx {
    Int32 actual_range 56, 417;
    String long_name "Glx";
    String units "nanomoles per liter (nmol L-1)";
  }
  Asx {
    Int32 actual_range 88, 484;
    String long_name "Asx";
    String units "nanomoles per liter (nmol L-1)";
  }
  DAA {
    Int32 actual_range 41, 140;
    String long_name "Daa";
    String units "nanomoles per liter (nmol L-1)";
  }
  THAA {
    Int32 actual_range 619, 3605;
    String long_name "Thaa";
    String units "nanomoles per liter (nmol L-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 doi "10.26008/1912/bco-dmo.982177.1";
    Float64 Easternmost_Easting -94.6886;
    Float64 geospatial_lat_max 29.6725;
    Float64 geospatial_lat_min 29.33278;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -94.6886;
    Float64 geospatial_lon_min -94.9789;
    String geospatial_lon_units "degrees_east";
    String history 
"2026-09-10T16:54:41Z (local files)
2026-09-10T16:54:41Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_982177_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/982177";
    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 29.6725;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 29.33278;
    String summary "This dataset contains biochemical data on dissolved organic matter composition collected on five consecutive one-day trips aboard R/V Trident along a transect from the Port of Houston to the Galveston Bay entrance following Hurricane Harvey from September 4 to September 28, 2017.";
    String title "[Coastal DOM Galveston Bay] - Biochemical data on dissolved organic matter composition from Galveston Bay collected on five one-day trips aboard R/V Trident following Hurricane Harvey from September 4 to 28, 2017 (Collaborative Research: Distribution and Cycling of Carboxyl-Rich Alicyclic Molecules (CRAM) in the Ocean)";
    Float64 Westernmost_Easting -94.9789;
  }
}

 

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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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