ERDDAP > tabledap > Data Access Form

Dataset Title:	[EN614 HPLC Pigments] - Phytoplankton diagnostic pigments from HPLC from samples collected on R/V Endeavor cruise EN614 in the tropical North Atlantic during May 2018 (Collaborative Research: Impact of the Amazon River Plume on Nitrogen Availability and Planktonic Food Web Dynamics in the Western Tropical North Atlantic)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_769601)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Subset | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum    or a List of Values	Maximum
Sample (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"AS2001"	"AS2096"
volfilt (liters (L))	!= =~ <= >= = < >		!= =~ <= >= = < >		1050	4300
Station (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"01-01"	"33-02"
depth (m)	!= =~ <= >= = < >		!= =~ <= >= = < >		2.1	124.1
Year (meters (m))	!= =~ <= >= = < >		!= =~ <= >= = < >		2018
month (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		5
Day (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		7	29
sdy (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		127	149
time2 (Time, unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"09:21:38"	"22:21:21"
time (ISO Date Time UTC, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2018-05-07T18:27:42Z	2018-05-29T15:33:28Z
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-57.2529	-50.8897
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		4.8901	16.292
Tot_Chl_a (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.047	5.118
Tot_Chl_b (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.005	0.209
Tot_Chl_c (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.014	0.668
Alpha_beta_Car (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003	0.163
But_fuco (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		-8888.0	0.092
Hex_fuco (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.007	0.141
Allo (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		-8888.0	0.048
Diadino (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.001	0.203
Diato (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		-8888.0	0.011
Fuco (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.004	2.148
Perid (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		-8888.0	0.138
Zea (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003	0.221
MV_Chl_a (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.042	5.049
DV_Chl_a (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		-8888.0	0.196
Chlide_a (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		-8888.0	0.314
MV_Chl_b (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		-8888.0	0.084
DV_Chl_b (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		-8888.0	0.167
Chl_c1c2 (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.006	0.653
Chl_c3 (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.005	0.102
Lut (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		-8888.0	0.006
Neo (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		-8888.0	0.009
Viola (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		-8888.0	0.007
Phytin_a (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.001	0.095
Phide_a (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		-8888.0	0.233
Pras (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		-8888.0	0.01
Gyro (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		-8888.0
TChl (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.07	5.838
PPC (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.007	0.429
PSC (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.029	2.209
PSP (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.099	8.047
TCar (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.036	2.638
TAcc (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.059	3.358
TPg (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.106	8.476
DP (milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.04	2.313
Tacc_Tchla (unitless (ratio))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.63	1.86
PSC_TCar (unitless (ratio))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.17	0.89
PPC_TCar (unitless (ratio))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.11	0.83
TChl_TCar (unitless (ratio))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.84	2.84
PPC_Tpg (unitless (ratio))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.03	0.45
PSP_TPg (unitless (ratio))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.55	0.97
TChla_TPg (unitless (ratio))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.35	0.61

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Sample volfilt Station depth Year month Day sdy time2 time longitude latitude Tot_Chl_a Tot_Chl_b Tot_Chl_c Alpha_beta_Car But_fuco Hex_fuco Allo Diadino Diato Fuco Perid Zea MV_Chl_a DV_Chl_a Chlide_a MV_Chl_b DV_Chl_b Chl_c1c2 Chl_c3 Lut Neo Viola Phytin_a Phide_a Pras Gyro TChl PPC PSC PSP TCar TAcc TPg DP Tacc_Tchla PSC_TCar PPC_TCar TChl_TCar PPC_Tpg PSP_TPg TChla_TPg Sample volfilt Station depth Year month Day sdy time2 time longitude latitude Tot_Chl_a Tot_Chl_b Tot_Chl_c Alpha_beta_Car But_fuco Hex_fuco Allo Diadino Diato Fuco Perid Zea MV_Chl_a DV_Chl_a Chlide_a MV_Chl_b DV_Chl_b Chl_c1c2 Chl_c3 Lut Neo Viola Phytin_a Phide_a Pras Gyro TChl PPC PSC PSP TCar TAcc TPg DP Tacc_Tchla PSC_TCar PPC_TCar TChl_TCar PPC_Tpg PSP_TPg TChla_TPg Sample volfilt Station depth Year month Day sdy time2 time longitude latitude Tot_Chl_a Tot_Chl_b Tot_Chl_c Alpha_beta_Car But_fuco Hex_fuco Allo Diadino Diato Fuco Perid Zea MV_Chl_a DV_Chl_a Chlide_a MV_Chl_b DV_Chl_b Chl_c1c2 Chl_c3 Lut Neo Viola Phytin_a Phide_a Pras Gyro TChl PPC PSC PSP TCar TAcc TPg DP Tacc_Tchla PSC_TCar PPC_TCar TChl_TCar PPC_Tpg PSP_TPg TChla_TPg Sample volfilt Station depth Year month Day sdy time2 time longitude latitude Tot_Chl_a Tot_Chl_b Tot_Chl_c Alpha_beta_Car But_fuco Hex_fuco Allo Diadino Diato Fuco Perid Zea MV_Chl_a DV_Chl_a Chlide_a MV_Chl_b DV_Chl_b Chl_c1c2 Chl_c3 Lut Neo Viola Phytin_a Phide_a Pras Gyro TChl PPC PSC PSP TCar TAcc TPg DP Tacc_Tchla PSC_TCar PPC_TCar TChl_TCar PPC_Tpg PSP_TPg TChla_TPg Sample volfilt Station depth Year month Day sdy time2 time longitude latitude Tot_Chl_a Tot_Chl_b Tot_Chl_c Alpha_beta_Car But_fuco Hex_fuco Allo Diadino Diato Fuco Perid Zea MV_Chl_a DV_Chl_a Chlide_a MV_Chl_b DV_Chl_b Chl_c1c2 Chl_c3 Lut Neo Viola Phytin_a Phide_a Pras Gyro TChl PPC PSC PSP TCar TAcc TPg DP Tacc_Tchla PSC_TCar PPC_TCar TChl_TCar PPC_Tpg PSP_TPg TChla_TPg ")

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 {
  Sample {
    String bcodmo_name "sample";
    String description "Sample ID";
    String long_name "Sample";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  volfilt {
    Int16 _FillValue 32767;
    Int16 actual_range 1050, 4300;
    String bcodmo_name "vol_filt";
    String description "Volume of water filtered";
    String long_name "Volfilt";
    String units "liters (L)";
  }
  Station {
    String bcodmo_name "station";
    String description "Station ID";
    String long_name "Station";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 2.1, 124.1;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth of sample";
    String ioos_category "Location";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Year {
    Int16 _FillValue 32767;
    Int16 actual_range 2018, 2018;
    String bcodmo_name "year";
    String description "Year";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "meters (m)";
  }
  month {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 5, 5;
    String bcodmo_name "month";
    String description "Month";
    String long_name "Month";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MNTHXXXX/";
    String units "unitless";
  }
  Day {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 7, 29;
    String bcodmo_name "day";
    String description "Day";
    String long_name "Day";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DAYXXXXX/";
    String units "unitless";
  }
  sdy {
    Int16 _FillValue 32767;
    Int16 actual_range 127, 149;
    String bcodmo_name "julian_day";
    String description "Julian day number";
    String long_name "SDY";
    String units "unitless";
  }
  time2 {
    String bcodmo_name "time";
    String description "Time UTC; format: HH:MM:SS";
    String long_name "Time";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.525717662e+9, 1.527608008e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Date and time (UTC) formatted to ISO8601 standard. Format: yyyy-mm-ddTHH:MM:SSZ (Z indicates UTC)";
    String ioos_category "Time";
    String long_name "ISO Date Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String source_name "ISO_DateTime_UTC";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -57.2529, -50.8897;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude (negative = west)";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "degrees_east";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 4.8901, 16.292;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude (negative = south)";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "degrees_north";
  }
  Tot_Chl_a {
    Float32 _FillValue NaN;
    Float32 actual_range 0.047, 5.118;
    String bcodmo_name "chl_a_tot";
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String description "total chlorophyll a; DV_Chl_a + MV_Chl_a + Chlide_a + Chl_a allomers + Chl_a epimers";
    String long_name "Concentration Of Chlorophyll In Sea Water";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  Tot_Chl_b {
    Float32 _FillValue NaN;
    Float32 actual_range 0.005, 0.209;
    String bcodmo_name "chl_b_tot";
    String description "total chlorophyll b; DV_Chl_b + MV_Chl_b + Chl_b epimers";
    String long_name "Tot Chl B";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CBDVHPP1/";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  Tot_Chl_c {
    Float32 _FillValue NaN;
    Float32 actual_range 0.014, 0.668;
    String bcodmo_name "chl_c_tot";
    String description "total chlorophyll c; Chl_c3 + Chl_c1c2";
    String long_name "Tot Chl C";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  Alpha_beta_Car {
    Float32 _FillValue NaN;
    Float32 actual_range 0.003, 0.163;
    String bcodmo_name "carotene";
    String description "carotenes; alpha (beta, epsilon) + beta (beta, beta) carotene. Unresolved and therefore undifferentiated.";
    String long_name "Alpha Beta Car";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ABCRHPP1/";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  But_fuco {
    Float32 _FillValue NaN;
    Float32 actual_range -8888.0, 0.092;
    String bcodmo_name "fucox_but";
    String description "19'-butanoyloxyfucoxanthin";
    String long_name "But Fuco";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  Hex_fuco {
    Float32 _FillValue NaN;
    Float32 actual_range 0.007, 0.141;
    String bcodmo_name "fucox_hex";
    String description "19'-hexanoyloxyfucoxanthin";
    String long_name "Hex Fuco";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  Allo {
    Float32 _FillValue NaN;
    Float32 actual_range -8888.0, 0.048;
    String bcodmo_name "allox";
    String description "alloxanthin";
    String long_name "Allo";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ALLOHPP1/";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  Diadino {
    Float32 _FillValue NaN;
    Float32 actual_range 0.001, 0.203;
    String bcodmo_name "diadinox";
    String description "diadinoxanthin";
    String long_name "Diadino";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DIADHPP1/";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  Diato {
    Float32 _FillValue NaN;
    Float32 actual_range -8888.0, 0.011;
    String bcodmo_name "diatox";
    String description "diatoxanthin";
    String long_name "Diato";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DIATHPP1/";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  Fuco {
    Float32 _FillValue NaN;
    Float32 actual_range 0.004, 2.148;
    String bcodmo_name "fucox";
    String description "fucoxanthin";
    String long_name "Fuco";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/FUCXHPP1/";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  Perid {
    Float32 _FillValue NaN;
    Float32 actual_range -8888.0, 0.138;
    String bcodmo_name "peridinin";
    String description "Peridinin";
    String long_name "Perid";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PERIHPP1/";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  Zea {
    Float32 _FillValue NaN;
    Float32 actual_range 0.003, 0.221;
    String bcodmo_name "zeax";
    String description "Zeaxanthin";
    String long_name "Zea";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ZEOXHPP1/";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  MV_Chl_a {
    Float32 _FillValue NaN;
    Float32 actual_range 0.042, 5.049;
    String bcodmo_name "chl_a1";
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String description "monovinyl chlorophyll a";
    String long_name "Concentration Of Chlorophyll In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MVACHPP1/";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  DV_Chl_a {
    Float32 _FillValue NaN;
    Float32 actual_range -8888.0, 0.196;
    String bcodmo_name "chl_a2";
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String description "divinyl chlorophyll a";
    String long_name "Concentration Of Chlorophyll In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DVCAHPP1/";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  Chlide_a {
    Float32 _FillValue NaN;
    Float32 actual_range -8888.0, 0.314;
    String bcodmo_name "chlide_a";
    String description "chlorophyllide a";
    String long_name "Chlide A";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CIDAHPP1/";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  MV_Chl_b {
    Float32 _FillValue NaN;
    Float32 actual_range -8888.0, 0.084;
    String bcodmo_name "chl_b1";
    String description "monovinyl chlorophyll b";
    String long_name "MV CHL B";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  DV_Chl_b {
    Float32 _FillValue NaN;
    Float32 actual_range -8888.0, 0.167;
    String bcodmo_name "chl_b2";
    String description "divinyl chlorophyll b";
    String long_name "DV CHL B";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DVCBHPP1/";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  Chl_c1c2 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.006, 0.653;
    String bcodmo_name "chl_c1_c2";
    String description "Chlorophyll c2 + chlorophyll c1 + MGDVP Mg-2,4-divnyl pheoporphyrin a5 monomethyl ester";
    String long_name "CHL C1C2";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  Chl_c3 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.005, 0.102;
    String bcodmo_name "chl_c3";
    String description "Chlorophyll c3";
    String long_name "CHL C3";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CLC3HPP1/";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  Lut {
    Float32 _FillValue NaN;
    Float32 actual_range -8888.0, 0.006;
    String bcodmo_name "lutein";
    String description "Lutein";
    String long_name "Lut";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/LUTNHPP1/";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  Neo {
    Float32 _FillValue NaN;
    Float32 actual_range -8888.0, 0.009;
    String bcodmo_name "neox";
    String description "Neoxanthin";
    String long_name "Neo";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/NEOXHPP1/";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  Viola {
    Float32 _FillValue NaN;
    Float32 actual_range -8888.0, 0.007;
    String bcodmo_name "violax";
    String description "Violaxanthin";
    String long_name "Viola";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/VILXHPP1/";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  Phytin_a {
    Float32 _FillValue NaN;
    Float32 actual_range 0.001, 0.095;
    String bcodmo_name "pheophorbide a";
    String description "total pheophorbide a; multiple peaks";
    String long_name "Phytin A";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  Phide_a {
    Float32 _FillValue NaN;
    Float32 actual_range -8888.0, 0.233;
    String bcodmo_name "p_phytin";
    String description "total pheophytin a; pheophytin a + pheophytin a'";
    String long_name "Phide A";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  Pras {
    Float32 _FillValue NaN;
    Float32 actual_range -8888.0, 0.01;
    String bcodmo_name "prasinox";
    String description "Prasinoxanthin";
    String long_name "Pras";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PRSXHPP1/";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  Gyro {
    Float32 _FillValue NaN;
    Float32 actual_range -8888.0, -8888.0;
    String bcodmo_name "Gyroxanthin-Diester";
    String description "Gyroxanthin diester";
    String long_name "Gyro";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  TChl {
    Float32 _FillValue NaN;
    Float32 actual_range 0.07, 5.838;
    String bcodmo_name "chl_tot";
    String description "total chlorophylls; Tot_Chl_a +Tot_Chl_b +Tot_Chl_c";
    String long_name "TCHL";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  PPC {
    Float32 _FillValue NaN;
    Float32 actual_range 0.007, 0.429;
    String bcodmo_name "car_ppc";
    String description "photoprotective carotenoids; allo + diadino + diato + zea + alpha-beta-car";
    String long_name "PPC";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  PSC {
    Float32 _FillValue NaN;
    Float32 actual_range 0.029, 2.209;
    String bcodmo_name "car_psc";
    String description "photosynthetic carotenoids; but-fuco + fuco + hex-fuco + perid";
    String long_name "PSC";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  PSP {
    Float32 _FillValue NaN;
    Float32 actual_range 0.099, 8.047;
    String bcodmo_name "chl_psp";
    String description "photosynthetic pigments; PSC + TChl";
    String long_name "PSP";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  TCar {
    Float32 _FillValue NaN;
    Float32 actual_range 0.036, 2.638;
    String bcodmo_name "car_psc_psp";
    String description "total carotenoids; PPC + PSC";
    String long_name "TCar";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  TAcc {
    Float32 _FillValue NaN;
    Float32 actual_range 0.059, 3.358;
    String bcodmo_name "pig_tot_acc";
    String description "total accessory pigments; PPC + PSC + Tot_Chl_b + Tot_Chl_c";
    String long_name "TAcc";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  TPg {
    Float32 _FillValue NaN;
    Float32 actual_range 0.106, 8.476;
    String bcodmo_name "pig_tot";
    String description "total pigments; TAcc + Tot_Chl_a";
    String long_name "TPG";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  DP {
    Float32 _FillValue NaN;
    Float32 actual_range 0.04, 2.313;
    String bcodmo_name "pig_diag";
    String description "total diagnostic pigments; PSC + allo + zea + Tot_Chl_b";
    String long_name "DP";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  Tacc_Tchla {
    Float32 _FillValue NaN;
    Float32 actual_range 0.63, 1.86;
    String bcodmo_name "pigacc_to_chla_tot";
    String description "ratio of total accessory pigments to total chlorophyll a; [Tacc]/[Tchla]";
    String long_name "Tacc Tchla";
    String units "unitless (ratio)";
  }
  PSC_TCar {
    Float32 _FillValue NaN;
    Float32 actual_range 0.17, 0.89;
    String bcodmo_name "pigpsc_to_cartot";
    String description "ratio of photosynthetic carotenoids to total carotenoids; [PSC]/[TCar]";
    String long_name "PSC TCar";
    String units "unitless (ratio)";
  }
  PPC_TCar {
    Float32 _FillValue NaN;
    Float32 actual_range 0.11, 0.83;
    String bcodmo_name "pigppc_to_cartot";
    String description "ratio of photoprotective carotenoids to total carotenoids; [PPC]/[Tcar]";
    String long_name "PPC TCar";
    String units "unitless (ratio)";
  }
  TChl_TCar {
    Float32 _FillValue NaN;
    Float32 actual_range 0.84, 2.84;
    String bcodmo_name "chltot_to_cartot";
    String description "ratio of total chlorophyll to total carotenoids; [TChl]/[TCaro]";
    String long_name "TChl TCar";
    String units "unitless (ratio)";
  }
  PPC_Tpg {
    Float32 _FillValue NaN;
    Float32 actual_range 0.03, 0.45;
    String bcodmo_name "pigppc_to_pigtot";
    String description "ratio of photoprotective carotenoids to total pigments; [PPC]/[Tpg]";
    String long_name "PPC TPG";
    String units "unitless (ratio)";
  }
  PSP_TPg {
    Float32 _FillValue NaN;
    Float32 actual_range 0.55, 0.97;
    String bcodmo_name "pigpsp_to_pigtot";
    String description "ratio of photosynthetic pigments to total pigments; [PSP]/[TPg]";
    String long_name "PSP TPG";
    String units "unitless (ratio)";
  }
  TChla_TPg {
    Float32 _FillValue NaN;
    Float32 actual_range 0.35, 0.61;
    String bcodmo_name "chla_tot_to_pigtot";
    String description "ratio of total chlorophyll a to total pigments; [TChla]/[TPg]";
    String long_name "TChla TPg";
    String units "unitless (ratio)";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"The samples were collected using a CTD rosette and an appropriate volume of
water was filtered through a 25mm GF/F filter soon after collection. The
filters were then stored in liquid nitrogen until analyzed. The analysis and
duplicate filter precision details as well as calibration details are provided
in [may18atl_HPLC_readme.pdf](\\\\\"https://datadocs.bco-
dmo.org/docs/Amazon_River_Plume_Nitrogen/data_docs/may18atl_hplc_readme.pdf\\\\\").
The samples were run at NASA GSFC by Crystal Thomas.
 
The diagnostic pigments were measured using High-performance liquid
chromatography as detailed in Van Heukelem and Thomas (2001) and Hooker et al
(2005).
 
The HPLC used for pigment analysis is an Agilent RR1200 with a programmable
autoinjector (900 ul syringe head), refrigerated autosampler, degasser, and
photo-diode array detector with deuterium and tungsten lamps. The HPLC is
controlled by Agilent Chemstation software. The 4.6 x 150 mm HPLC Eclipse XDB
column (Agilent Technologies, Palo Alto, CA) is filled with a C8 stationary
phase (3.5 um stationary phase); the mobile phase consists of a linear
gradient from 5-95% solvent B over the 27 minutes, for which solvent A is 70
parts methanol, 30 parts 28 mM tetrabutylammononium acetate (pH 6.5) and
solvent B is methanol. The column temperature is 60 C and the photo diode
array detector is set to plot chromatograms at 450, 665, and 222 nm to acquire
visible absorbance spectra between 350 and 750 nm.";
    String awards_0_award_nid "751100";
    String awards_0_award_number "OCE-1737128";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1737128";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"HPLC Pigments 
   from EN614 
  PI: Ajit Subramaniam (LDEO/Columbia University) 
  Version date: 05-June-2019 
  Notes:  
   missing = -9999 
   below detection limit = -8888 
   above detection limit = -7777";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String dataset_current_state "Final and no updates";
    String date_created "2019-06-05T18:59:04Z";
    String date_modified "2020-04-30T16:58:18Z";
    String defaultDataQuery "&time<now";
    String doi "10.26008/1912/bco-dmo.769601.1";
    Float64 Easternmost_Easting -50.8897;
    Float64 geospatial_lat_max 16.292;
    Float64 geospatial_lat_min 4.8901;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -50.8897;
    Float64 geospatial_lon_min -57.2529;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 124.1;
    Float64 geospatial_vertical_min 2.1;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-23T17:16:48Z (local files)
2024-11-23T17:16:48Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_769601.html";
    String infoUrl "https://www.bco-dmo.org/dataset/769601";
    String institution "BCO-DMO";
    String instruments_0_acronym "HPLC";
    String instruments_0_dataset_instrument_description "The HPLC used for pigment analysis is an Agilent RR1200 with a programmable autoinjector (900 ul syringe head), refrigerated autosampler, degasser, and photo-diode array detector with deuterium and tungsten lamps.";
    String instruments_0_dataset_instrument_nid "769619";
    String instruments_0_description "A High-performance liquid chromatograph (HPLC) is a type of liquid chromatography used to separate compounds that are dissolved in solution. HPLC instruments consist of a reservoir of the mobile phase, a pump, an injector, a separation column, and a detector. Compounds are separated by high pressure pumping of the sample mixture onto a column packed with microspheres coated with the stationary phase. The different components in the mixture pass through the column at different rates due to differences in their partitioning behavior between the mobile liquid phase and the stationary phase.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB11/";
    String instruments_0_instrument_name "High Performance Liquid Chromatograph";
    String instruments_0_instrument_nid "506";
    String instruments_0_supplied_name "Agilent RR1200";
    String keywords "allo, alpha, Alpha_beta_Car, bco, bco-dmo, beta, biological, but, But_fuco, c1c2, car, chemical, chemistry, chl, Chl_c1c2, Chl_c3, chlide, Chlide_a, chlorophyll, concentration, concentration_of_chlorophyll_in_sea_water, data, dataset, date, day, depth, diadino, diato, dmo, DV_Chl_a, DV_Chl_b, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, erddap, fuco, gyro, hex, Hex_fuco, iso, latitude, longitude, lut, management, month, MV_Chl_a, MV_Chl_b, neo, ocean, oceanography, oceans, office, perid, phide, Phide_a, phytin, Phytin_a, ppc, PPC_TCar, PPC_Tpg, pras, preliminary, psc, PSC_TCar, psp, PSP_TPg, sample, science, sdy, sea, seawater, station, tacc, Tacc_Tchla, tcar, tchl, TChl_TCar, tchla, TChla_TPg, time, time2, tot, Tot_Chl_a, Tot_Chl_b, Tot_Chl_c, tpg, viola, volfilt, water, year, zea";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/769601/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/769601";
    Float64 Northernmost_Northing 16.292;
    String param_mapping "{'769601': {'lat': 'flag - latitude', 'depth': 'flag - depth', 'lon': 'flag - longitude', 'ISO_DateTime_UTC': 'flag - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/769601/parameters";
    String people_0_affiliation "Lamont-Doherty Earth Observatory";
    String people_0_affiliation_acronym "LDEO";
    String people_0_person_name "Ajit Subramaniam";
    String people_0_person_nid "50857";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Woods Hole Oceanographic Institution";
    String people_1_affiliation_acronym "WHOI BCO-DMO";
    String people_1_person_name "Shannon Rauch";
    String people_1_person_nid "51498";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "Amazon River Plume Nitrogen";
    String projects_0_acronym "Amazon River Plume Nitrogen";
    String projects_0_description 
"NSF Award Abstract:
This is a focused program of field research in waters of the Western Tropical North Atlantic influenced by the Amazon River Plume during the high river flow season. The Amazon Plume region supports diverse plankton communities in a dynamic system driven by nutrients supplied by transport from the river proper as well as nutrients entrained from offshore waters by physical mixing and upwelling. This creates strong interactions among physical, chemical, and biological processes across a range of spatial and temporal scales. The field program will link direct measurements of environmental properties with focused experimental studies of nutrient supply and nutrient limitation of phytoplankton, as well as the transfer of phytoplankton nitrogen to the zooplankton food web. The Amazon Plume exhibits a close juxtaposition of distinct communities during the high-flow season, making it an ideal site for evaluating how nutrient availability, nutrient supply, and habitat longevity interact to drive offshore ecosystem dynamics and function. This project will include German collaborators and will seamlessly integrate education and research efforts. The investigators and their institutions have a strong commitment to undergraduate and graduate education and to increasing the diversity of the ocean science community through active recruiting and training efforts. The team has a strong track record of involving both undergraduate and graduate students in their field and lab research. The two research cruises planned will provide opportunities for students and technicians to interact with an interdisciplinary and international research team.
The ultimate objectives of this project are to understand the processes and interactions that promote distinct communities of nitrogen-fixing organisms (diazotrophs) and other phytoplankton around the Amazon Plume and to explore the impacts of these diazotroph-rich communities on zooplankton biomass and production. The research team includes scientists with expertise in nutrient and stable isotope biogeochemistry, remote sensing as well as specialists in characterizing water mass origin and history using naturally occurring radium isotopes. This combination of approaches will provide a unique opportunity to address fundamental questions related to plankton community structure, primary production, and links to secondary production in pelagic ecosystems. The project will address the following key questions focused on fundamental issues in plankton ecology resulting from previous research in this region:
A. What mechanisms promote the preferential delivery of bioavailable phosphorus and the resulting strong nitrogen limitation associated with the northern reaches of the Amazon Plume during the high flow season?
B. What factors lead to the clear niche separation between diazotrophs within and around the Amazon Plume and how are the distinct diazotroph communities influenced by hydrographic and biogeochemical controls associated with the Amazon River Plume and offshore upwelling processes?
C. How does the nitrogen fixed by the different types of diazotrophs contribute to secondary production, and how efficiently does diazotroph nitrogen move through the food web?";
    String projects_0_end_date "2020-12";
    String projects_0_geolocation "Amazon River plume";
    String projects_0_name "Collaborative Research: Impact of the Amazon River Plume on Nitrogen Availability and Planktonic Food Web Dynamics in the Western Tropical North Atlantic";
    String projects_0_project_nid "751093";
    String projects_0_start_date "2018-01";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 4.8901;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "Year,month,Gyro";
    String summary "Phytoplankton diagnostic pigments from HPLC from samples collected on R/V Endeavor cruise EN614 in the tropical North Atlantic during May 2018. Note: these data are also available through NASA's SeaBASS repository at https://seabass.gsfc.nasa.gov/archive/COLUMBIA_U/subramaniam/LAMONT_ATL/may18atl/archive";
    String time_coverage_end "2018-05-29T15:33:28Z";
    String time_coverage_start "2018-05-07T18:27:42Z";
    String title "[EN614 HPLC Pigments] - Phytoplankton diagnostic pigments from HPLC from samples collected on R/V Endeavor cruise EN614 in the tropical North Atlantic during May 2018 (Collaborative Research: Impact of the Amazon River Plume on Nitrogen Availability and Planktonic Food Web Dynamics in the Western Tropical North Atlantic)";
    String version "1";
    Float64 Westernmost_Easting -57.2529;
    String xml_source "osprey2erddap.update_xml() v1.5";
  }
}

 

---

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