ERDDAP > tabledap > Data Access Form

Dataset Title:	[Plocamium: pH drift] - Carbonate chemistry over a time-course in pH drift experiments with Plocamium growth collected at Catalina Island, 2014- 2015 (Seaweed OA Resilience project) (Ocean Acidification: Scope for Resilience to Ocean Acidification in Macroalgae)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_726480)
Information:	Summary | License | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
trial (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		2	8
sal_insitu (parts per thousand (ppt))	!= =~ <= >= = < >		!= =~ <= >= = < >		30.44	34.57
temp_insitu (degrees Celsius)	!= =~ <= >= = < >		!= =~ <= >= = < >		15	20
ID (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"A-A-1-1"	"SW-NA-940-2"
ALK (micromol/kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		2026.53	2692.69
pH_t0 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		7.5947	8.0848
pH_t2 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		7.6992	8.2098
pH_t6 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		7.6192	8.3431
pH_t20 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		6.7627	8.7857
pH_t24 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		6.5727	9.02355
pH_t30 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		5.9627	9.02355
t0_DIC_x_1e06 (micromol/kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		1861.947689	2561.796486
t2_DIC_x_1e06 (micromol/kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		1882.34611	2472.302896
t6_DIC_x_1e06 (micromol/kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		1760.78633	2498.070617
t20_DIC_x_1e06 (micromol/kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		1377.118791	2942.655718
t24_DIC_x_1e06 (micromol/kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		1264.550384	3162.857251
t30_DIC_x_1e06 (micromol/kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		1263.184786	5035.025816
t0_CO2_x_1e06 (micromol/kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		13.59209316	43.20684617
t2_CO2_x_1e06 (micromol/kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		9.812795099	37.85201088
t6_CO2_x_1e06 (micromol/kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		6.056967375	46.14370336
t20_CO2_x_1e06 (micromol/kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		1.387641607	387.2548901
t24_CO2_x_1e06 (micromol/kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.638692304	601.9613537
t30_CO2_x_1e06 (micromol/kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.638692304	2465.512895
t0_HCO3_x_1e06 (micromol/kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		1729.16419	2422.790091
t2_HCO3_x_1e06 (micromol/kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		1720.613551	2340.221361
t6_HCO3_x_1e06 (micromol/kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		1514.649538	2372.230443
t20_HCO3_x_1e06 (micromol/kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		958.4009893	2544.801035
t24_HCO3_x_1e06 (micromol/kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		742.2655261	2597.712901
t30_HCO3_x_1e06 (micromol/kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		742.2655261	2626.64464
t0_CO3_x_1e06 (micromol/kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		59.26970859	220.5568465
t2_CO3_x_1e06 (micromol/kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		77.33736803	210.5199034
t6_CO3_x_1e06 (micromol/kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		65.22481838	254.7339034
t20_CO3_x_1e06 (micromol/kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		10.59979198	420.2652773
t24_CO3_x_1e06 (micromol/kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		6.868612911	522.4883295
t30_CO3_x_1e06 (micromol/kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		1.695148345	538.1342704

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" trial sal_insitu temp_insitu ID ALK pH_t0 pH_t2 pH_t6 pH_t20 pH_t24 pH_t30 t0_DIC_x_1e06 t2_DIC_x_1e06 t6_DIC_x_1e06 t20_DIC_x_1e06 t24_DIC_x_1e06 t30_DIC_x_1e06 t0_CO2_x_1e06 t2_CO2_x_1e06 t6_CO2_x_1e06 t20_CO2_x_1e06 t24_CO2_x_1e06 t30_CO2_x_1e06 t0_HCO3_x_1e06 t2_HCO3_x_1e06 t6_HCO3_x_1e06 t20_HCO3_x_1e06 t24_HCO3_x_1e06 t30_HCO3_x_1e06 t0_CO3_x_1e06 t2_CO3_x_1e06 t6_CO3_x_1e06 t20_CO3_x_1e06 t24_CO3_x_1e06 t30_CO3_x_1e06 trial sal_insitu temp_insitu ID ALK pH_t0 pH_t2 pH_t6 pH_t20 pH_t24 pH_t30 t0_DIC_x_1e06 t2_DIC_x_1e06 t6_DIC_x_1e06 t20_DIC_x_1e06 t24_DIC_x_1e06 t30_DIC_x_1e06 t0_CO2_x_1e06 t2_CO2_x_1e06 t6_CO2_x_1e06 t20_CO2_x_1e06 t24_CO2_x_1e06 t30_CO2_x_1e06 t0_HCO3_x_1e06 t2_HCO3_x_1e06 t6_HCO3_x_1e06 t20_HCO3_x_1e06 t24_HCO3_x_1e06 t30_HCO3_x_1e06 t0_CO3_x_1e06 t2_CO3_x_1e06 t6_CO3_x_1e06 t20_CO3_x_1e06 t24_CO3_x_1e06 t30_CO3_x_1e06 trial sal_insitu temp_insitu ID ALK pH_t0 pH_t2 pH_t6 pH_t20 pH_t24 pH_t30 t0_DIC_x_1e06 t2_DIC_x_1e06 t6_DIC_x_1e06 t20_DIC_x_1e06 t24_DIC_x_1e06 t30_DIC_x_1e06 t0_CO2_x_1e06 t2_CO2_x_1e06 t6_CO2_x_1e06 t20_CO2_x_1e06 t24_CO2_x_1e06 t30_CO2_x_1e06 t0_HCO3_x_1e06 t2_HCO3_x_1e06 t6_HCO3_x_1e06 t20_HCO3_x_1e06 t24_HCO3_x_1e06 t30_HCO3_x_1e06 t0_CO3_x_1e06 t2_CO3_x_1e06 t6_CO3_x_1e06 t20_CO3_x_1e06 t24_CO3_x_1e06 t30_CO3_x_1e06 trial sal_insitu temp_insitu ID ALK pH_t0 pH_t2 pH_t6 pH_t20 pH_t24 pH_t30 t0_DIC_x_1e06 t2_DIC_x_1e06 t6_DIC_x_1e06 t20_DIC_x_1e06 t24_DIC_x_1e06 t30_DIC_x_1e06 t0_CO2_x_1e06 t2_CO2_x_1e06 t6_CO2_x_1e06 t20_CO2_x_1e06 t24_CO2_x_1e06 t30_CO2_x_1e06 t0_HCO3_x_1e06 t2_HCO3_x_1e06 t6_HCO3_x_1e06 t20_HCO3_x_1e06 t24_HCO3_x_1e06 t30_HCO3_x_1e06 t0_CO3_x_1e06 t2_CO3_x_1e06 t6_CO3_x_1e06 t20_CO3_x_1e06 t24_CO3_x_1e06 t30_CO3_x_1e06 trial sal_insitu temp_insitu ID ALK pH_t0 pH_t2 pH_t6 pH_t20 pH_t24 pH_t30 t0_DIC_x_1e06 t2_DIC_x_1e06 t6_DIC_x_1e06 t20_DIC_x_1e06 t24_DIC_x_1e06 t30_DIC_x_1e06 t0_CO2_x_1e06 t2_CO2_x_1e06 t6_CO2_x_1e06 t20_CO2_x_1e06 t24_CO2_x_1e06 t30_CO2_x_1e06 t0_HCO3_x_1e06 t2_HCO3_x_1e06 t6_HCO3_x_1e06 t20_HCO3_x_1e06 t24_HCO3_x_1e06 t30_HCO3_x_1e06 t0_CO3_x_1e06 t2_CO3_x_1e06 t6_CO3_x_1e06 t20_CO3_x_1e06 t24_CO3_x_1e06 t30_CO3_x_1e06 ")

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 {
  trial {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 2, 8;
    String bcodmo_name "exp_id";
    String description "experimental trial identifier";
    String long_name "Trial";
    String units "unitless";
  }
  sal_insitu {
    Float32 _FillValue NaN;
    Float32 actual_range 30.44, 34.57;
    String bcodmo_name "sal";
    String description "Salinity in situ";
    String long_name "Sal Insitu";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "parts per thousand (ppt)";
  }
  temp_insitu {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 15, 20;
    String bcodmo_name "temperature";
    String description "Temperature in situ";
    String long_name "Temp Insitu";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
  ID {
    String bcodmo_name "sample";
    String description 
"4-level code (separated by dashes) identifies water sample to treatment combinations of (1) Carbonic anhydrase inhibitor; (2) alga presence/absence; (3) pCO2 level/Culture pot number; (4) replicate number.
1st code: Inhibitor Treatment: SW = seawater; A=Acetazolamide; E=Ethoxyzolamide;
2nd code: A = Algae present; NA = No algae;
3rd code: culture pot number for alga present treatments;
4th code: replicate number in treatment combination.";
    String long_name "ID";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  ALK {
    Float64 _FillValue NaN;
    Float64 actual_range 2026.53, 2692.69;
    String bcodmo_name "TALK";
    String description "Total alkalinity used in seacarb calculations";
    String long_name "ALK";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MDMAP014/";
    String units "micromol/kilogram (umol/kg)";
  }
  pH_t0 {
    Float64 _FillValue NaN;
    Float64 actual_range 7.5947, 8.0848;
    String bcodmo_name "pH";
    String description "pH in Total scale at in situ temperature at time = 0 (start of experiment)";
    String long_name "P H T0";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
    String units "unitless";
  }
  pH_t2 {
    Float32 _FillValue NaN;
    Float32 actual_range 7.6992, 8.2098;
    String bcodmo_name "pH";
    String description "pH in Total scale at in situ temperature at time = 2 hours";
    String long_name "P H T2";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
    String units "unitless";
  }
  pH_t6 {
    Float32 _FillValue NaN;
    Float32 actual_range 7.6192, 8.3431;
    String bcodmo_name "pH";
    String description "pH in Total scale at in situ temperature at time = 6 hours";
    String long_name "P H T6";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
    String units "unitless";
  }
  pH_t20 {
    Float32 _FillValue NaN;
    Float32 actual_range 6.7627, 8.7857;
    String bcodmo_name "pH";
    String description "pH in Total scale at in situ temperature at time = 20 hours";
    String long_name "P H T20";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
    String units "unitless";
  }
  pH_t24 {
    Float64 _FillValue NaN;
    Float64 actual_range 6.5727, 9.02355;
    String bcodmo_name "pH";
    String description "pH in Total scale at in situ temperature at time = 24 hours";
    String long_name "P H T24";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
    String units "unitless";
  }
  pH_t30 {
    Float64 _FillValue NaN;
    Float64 actual_range 5.9627, 9.02355;
    String bcodmo_name "pH";
    String description "pH in Total scale at in situ temperature at time = 30 hours";
    String long_name "P H T30";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
    String units "unitless";
  }
  t0_DIC_x_1e06 {
    Float64 _FillValue NaN;
    Float64 actual_range 1861.947689, 2561.796486;
    String bcodmo_name "DIC";
    String description "Total carbon; dissolved inorganic carbon at time = 0 (start of experiment)";
    String long_name "T0 DIC X 1e06";
    String units "micromol/kilogram (umol/kg)";
  }
  t2_DIC_x_1e06 {
    Float64 _FillValue NaN;
    Float64 actual_range 1882.34611, 2472.302896;
    String bcodmo_name "DIC";
    String description "Total carbon; dissolved inorganic carbon at time=2 hours";
    String long_name "T2 DIC X 1e06";
    String units "micromol/kilogram (umol/kg)";
  }
  t6_DIC_x_1e06 {
    Float64 _FillValue NaN;
    Float64 actual_range 1760.78633, 2498.070617;
    String bcodmo_name "DIC";
    String description "Total carbon; dissolved inorganic carbon at time=6 hours";
    String long_name "T6 DIC X 1e06";
    String units "micromol/kilogram (umol/kg)";
  }
  t20_DIC_x_1e06 {
    Float64 _FillValue NaN;
    Float64 actual_range 1377.118791, 2942.655718;
    String bcodmo_name "DIC";
    String description "Total carbon; dissolved inorganic carbon at time=20 hours";
    String long_name "T20 DIC X 1e06";
    String units "micromol/kilogram (umol/kg)";
  }
  t24_DIC_x_1e06 {
    Float64 _FillValue NaN;
    Float64 actual_range 1264.550384, 3162.857251;
    String bcodmo_name "DIC";
    String description "Total carbon; dissolved inorganic carbon at time=24 hours";
    String long_name "T24 DIC X 1e06";
    String units "micromol/kilogram (umol/kg)";
  }
  t30_DIC_x_1e06 {
    Float64 _FillValue NaN;
    Float64 actual_range 1263.184786, 5035.025816;
    String bcodmo_name "DIC";
    String description "Total carbon; dissolved inorganic carbon at time=30 hours";
    String long_name "T30 DIC X 1e06";
    String units "micromol/kilogram (umol/kg)";
  }
  t0_CO2_x_1e06 {
    Float64 _FillValue NaN;
    Float64 actual_range 13.59209316, 43.20684617;
    String bcodmo_name "pCO2";
    String description "Carbon dioxide concentration at time = 0 (start of experiment)";
    String long_name "T0 CO2 X 1e06";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PCO2C101/";
    String units "micromol/kilogram (umol/kg)";
  }
  t2_CO2_x_1e06 {
    Float64 _FillValue NaN;
    Float64 actual_range 9.812795099, 37.85201088;
    String bcodmo_name "pCO2";
    String description "Carbon dioxide concentration at time=2 hours";
    String long_name "T2 CO2 X 1e06";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PCO2C101/";
    String units "micromol/kilogram (umol/kg)";
  }
  t6_CO2_x_1e06 {
    Float64 _FillValue NaN;
    Float64 actual_range 6.056967375, 46.14370336;
    String bcodmo_name "pCO2";
    String description "Carbon dioxide concentration at time=6 hours";
    String long_name "T6 CO2 X 1e06";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PCO2C101/";
    String units "micromol/kilogram (umol/kg)";
  }
  t20_CO2_x_1e06 {
    Float64 _FillValue NaN;
    Float64 actual_range 1.387641607, 387.2548901;
    String bcodmo_name "pCO2";
    String description "Carbon dioxide concentration at time=20 hours";
    String long_name "T20 CO2 X 1e06";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PCO2C101/";
    String units "micromol/kilogram (umol/kg)";
  }
  t24_CO2_x_1e06 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.638692304, 601.9613537;
    String bcodmo_name "pCO2";
    String description "Carbon dioxide concentration at time=24 hours";
    String long_name "T24 CO2 X 1e06";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PCO2C101/";
    String units "micromol/kilogram (umol/kg)";
  }
  t30_CO2_x_1e06 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.638692304, 2465.512895;
    String bcodmo_name "pCO2";
    String description "Carbon dioxide concentration at time=30 hours";
    String long_name "T30 CO2 X 1e06";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PCO2C101/";
    String units "micromol/kilogram (umol/kg)";
  }
  t0_HCO3_x_1e06 {
    Float64 _FillValue NaN;
    Float64 actual_range 1729.16419, 2422.790091;
    String bcodmo_name "bicarbonate";
    String description "Bicarbonate ion concentration at time = 0 (start of experiment)";
    String long_name "T0 HCO3 X 1e06";
    String units "micromol/kilogram (umol/kg)";
  }
  t2_HCO3_x_1e06 {
    Float64 _FillValue NaN;
    Float64 actual_range 1720.613551, 2340.221361;
    String bcodmo_name "bicarbonate";
    String description "Bicarbonate ion concentration at time=2 hours";
    String long_name "T2 HCO3 X 1e06";
    String units "micromol/kilogram (umol/kg)";
  }
  t6_HCO3_x_1e06 {
    Float64 _FillValue NaN;
    Float64 actual_range 1514.649538, 2372.230443;
    String bcodmo_name "bicarbonate";
    String description "Bicarbonate ion concentration at time=6 hours";
    String long_name "T6 HCO3 X 1e06";
    String units "micromol/kilogram (umol/kg)";
  }
  t20_HCO3_x_1e06 {
    Float64 _FillValue NaN;
    Float64 actual_range 958.4009893, 2544.801035;
    String bcodmo_name "bicarbonate";
    String description "Bicarbonate ion concentration at time=20 hours";
    String long_name "T20 HCO3 X 1e06";
    String units "micromol/kilogram (umol/kg)";
  }
  t24_HCO3_x_1e06 {
    Float64 _FillValue NaN;
    Float64 actual_range 742.2655261, 2597.712901;
    String bcodmo_name "bicarbonate";
    String description "Bicarbonate ion concentration at time=24 hours";
    String long_name "T24 HCO3 X 1e06";
    String units "micromol/kilogram (umol/kg)";
  }
  t30_HCO3_x_1e06 {
    Float64 _FillValue NaN;
    Float64 actual_range 742.2655261, 2626.64464;
    String bcodmo_name "bicarbonate";
    String description "Bicarbonate ion concentration at time=30 hours";
    String long_name "T30 HCO3 X 1e06";
    String units "micromol/kilogram (umol/kg)";
  }
  t0_CO3_x_1e06 {
    Float64 _FillValue NaN;
    Float64 actual_range 59.26970859, 220.5568465;
    String bcodmo_name "carbonate";
    String description "Carbonate ion concentration at time = 0 (start of experiment)";
    String long_name "T0 CO3 X 1e06";
    String units "micromol/kilogram (umol/kg)";
  }
  t2_CO3_x_1e06 {
    Float64 _FillValue NaN;
    Float64 actual_range 77.33736803, 210.5199034;
    String bcodmo_name "carbonate";
    String description "Carbonate ion concentration at time=2 hours";
    String long_name "T2 CO3 X 1e06";
    String units "micromol/kilogram (umol/kg)";
  }
  t6_CO3_x_1e06 {
    Float64 _FillValue NaN;
    Float64 actual_range 65.22481838, 254.7339034;
    String bcodmo_name "carbonate";
    String description "Carbonate ion concentration at time=6 hours";
    String long_name "T6 CO3 X 1e06";
    String units "micromol/kilogram (umol/kg)";
  }
  t20_CO3_x_1e06 {
    Float64 _FillValue NaN;
    Float64 actual_range 10.59979198, 420.2652773;
    String bcodmo_name "carbonate";
    String description "Carbonate ion concentration at time=20 hours";
    String long_name "T20 CO3 X 1e06";
    String units "micromol/kilogram (umol/kg)";
  }
  t24_CO3_x_1e06 {
    Float64 _FillValue NaN;
    Float64 actual_range 6.868612911, 522.4883295;
    String bcodmo_name "carbonate";
    String description "Carbonate ion concentration at time=24 hours";
    String long_name "T24 CO3 X 1e06";
    String units "micromol/kilogram (umol/kg)";
  }
  t30_CO3_x_1e06 {
    Float64 _FillValue NaN;
    Float64 actual_range 1.695148345, 538.1342704;
    String bcodmo_name "carbonate";
    String description "Carbonate ion concentration at time=30 hours";
    String long_name "T30 CO3 X 1e06";
    String units "micromol/kilogram (umol/kg)";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"Plocamium cartilagineum\\u00a0was collected from Catalina Island in June - Nov.
2014 and Jan. 2015.
 
Seawater samples were collected over a 30-hour time course of pH drift
experiments with Plocamium cartilagineum to test mechanism of carbon
acquisition by alga and the effect on carbonate chemistry parameters reported
in these datasets. Samples were collected at 0, 2, 6, 20, 24 and 30 hours and
parameters of carbonate chemistry were measured (DIC,CO2, HCO3,CO3-described
below). pH drift assay experiments consisted of 2 independent variables;
inhibitor treatment and algal presence, with 3 and 2 levels, respectively for
each independent variable (see parameters section). Two replicate water
samples were collected from each of 9 experimental culture pots of algae grown
for 3 weeks at different combinations of pCO2 and temperature during each of 7
experimental trials.
 
Carbonate chemistry parameters were measured by sampling pH and total
alkalinity (TA) of water samples. pH was determined using the m-cresol
indicator dye method in a spectrophotometer (Dickson et al. 2007). TA samples
were analyzed by potentiometric titration coupled to a pH electrode calibrated
using certified reference material (CRM) from the Dickson laboratory at
Scripps Oceanographic Institute and the pH electrode calibrated using TRIS
buffer (Dickson et al. 2007). TA and carbonate parameters were calculated from
potentiometric titration data and spectrophotometric pH data.
 
Methodology Reference:  
 Dickson AG, Sabine CL, Christian JR (2007). Guide to Best Practices for
Ocean CO2 Measurements.
 
Note: Trial 1 was a pilot test of culture system and methodological procedures
so was not used for data collection in the testing of hypotheses.
 
See Supplemental Files for a table of culture conditions for each of the 8
trials (pdf).";
    String awards_0_award_nid "55177";
    String awards_0_award_number "OCE-1316198";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=1316198";
    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 
"Carbonate chemistry over a timecourse in pH drift experiments 
   S. Dudgeon, J. Kubler (CSU) 
   version: 2018-02-07";
    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 date_created "2018-02-08T20:45:36Z";
    String date_modified "2019-06-03T17:45:20Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.726480.1";
    String history 
"2024-11-23T16:47:07Z (local files)
2024-11-23T16:47:07Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_726480.html";
    String infoUrl "https://www.bco-dmo.org/dataset/726480";
    String institution "BCO-DMO";
    String instruments_0_acronym "Automatic titrator";
    String instruments_0_dataset_instrument_description "Used to measure total alkalinity; equipped with Rondolino automated titration stand.";
    String instruments_0_dataset_instrument_nid "726628";
    String instruments_0_description "Instruments that incrementally add quantified aliquots of a reagent to a sample until the end-point of a chemical reaction is reached.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB12/";
    String instruments_0_instrument_name "Automatic titrator";
    String instruments_0_instrument_nid "682";
    String instruments_0_supplied_name "Mettler Toledo T50";
    String instruments_1_acronym "Spectrophotometer";
    String instruments_1_dataset_instrument_description "Used to measure pH (at temperature 25 C)";
    String instruments_1_dataset_instrument_nid "726626";
    String instruments_1_description "An instrument used to measure the relative absorption of electromagnetic radiation of different wavelengths in the near infra-red, visible and ultraviolet wavebands by samples.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB20/";
    String instruments_1_instrument_name "Spectrophotometer";
    String instruments_1_instrument_nid "707";
    String instruments_1_supplied_name "Shimadzu UV-2450 UV-visible spectrophotometer";
    String instruments_2_dataset_instrument_description "YSI 556 MPS (Trials 1-5) and Thermo Fisher Orion Star 329  (trials 6-8) used to measure salinity and temperature.";
    String instruments_2_dataset_instrument_nid "726627";
    String instruments_2_description "An analytical instrument that can measure multiple parameters, such as pH, EC, TDS, DO and temperature with one device and is portable or hand-held.";
    String instruments_2_instrument_name "Multi Parameter Portable Meter";
    String instruments_2_instrument_nid "489457";
    String keywords "1e06, alk, altimetry, bco, bco-dmo, biological, carbon, carbon dioxide, carbonate, chemical, co2, co3, data, dataset, dic, dioxide, dmo, erddap, hco3, insitu, laboratory, management, oceanography, office, pH_t0, pH_t2, pH_t20, pH_t24, pH_t30, pH_t6, preliminary, sal, sal_insitu, satellite, t0_CO2_x_1e06, t0_CO3_x_1e06, t0_DIC_x_1e06, t0_HCO3_x_1e06, t20, t20_CO2_x_1e06, t20_CO3_x_1e06, t20_DIC_x_1e06, t20_HCO3_x_1e06, t24, t24_CO2_x_1e06, t24_CO3_x_1e06, t24_DIC_x_1e06, t24_HCO3_x_1e06, t2_CO2_x_1e06, t2_CO3_x_1e06, t2_DIC_x_1e06, t2_HCO3_x_1e06, t30, t30_CO2_x_1e06, t30_CO3_x_1e06, t30_DIC_x_1e06, t30_HCO3_x_1e06, t6_CO2_x_1e06, t6_CO3_x_1e06, t6_DIC_x_1e06, t6_HCO3_x_1e06, temp_insitu, temperature, trial";
    String license "https://www.bco-dmo.org/dataset/726480/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/726480";
    String param_mapping "{'726480': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/726480/parameters";
    String people_0_affiliation "California State University Northridge";
    String people_0_affiliation_acronym "CSU-Northridge";
    String people_0_person_name "Dr Janet  E Kubler";
    String people_0_person_nid "51681";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "California State University Northridge";
    String people_1_affiliation_acronym "CSU-Northridge";
    String people_1_person_name "Dr Steve Dudgeon";
    String people_1_person_nid "51682";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Nancy Copley";
    String people_2_person_nid "50396";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "Seaweed OA Resilience";
    String projects_0_acronym "Seaweed OA Resilience";
    String projects_0_description "Benthic macroalgae contribute to intensely productive near shore  ecosystems and little is known about the potential effects of ocean  acidification on non-calcifying macroalgae. Kübler and Dudgeon will test  hypotheses about two macroalgae, Ulva spp. and Plocamium cartilagineum,  which, for different reasons, are hypothesized to be more productive  and undergo ecological expansions under predicted changes in ocean  chemistry. They have designed laboratory culture-based experiments to  quantify the scope for response to ocean acidification in Plocamium,  which relies solely on diffusive uptake of CO2, and populations of Ulva  spp., which have an inducible concentrating mechanism (CCM). The  investigators will culture these algae in media equilibrated at 8  different pCO2 levels ranging from 380 to 940 ppm to address three key  hypotheses. The first is that macroalgae (such as Plocamium  cartilagineum) that are not able to acquire inorganic carbon in changed  form will benefit, in terms of photosynthetic and growth rates, from  ocean acidification. There is little existing data to support this  common assumption. The second hypothesis is that enhanced growth of Ulva  sp. under OA will result from the energetic savings from down  regulating the CCM, rather than from enhanced photosynthesis per se.  Their approach will detect existing genetic variation for adaptive  plasticity. The third key hypothesis to be addressed in short-term  culture experiments is that there will be a significant interaction  between ocean acidification and nitrogen limited growth of Ulva spp.,  which are indicator species of eutrophication. Kübler and Dudgeon will  be able to quantify the individual effects of ocean acidification and  nitrogenous nutrient addition on Ulva spp. and also, the synergistic  effects, which will inevitably apply in many highly productive, shallow  coastal areas. The three hypotheses being addressed have been broadly  identified as urgent needs in our growing understanding of the impacts  of ocean acidification.";
    String projects_0_end_date "2016-05";
    String projects_0_geolocation "Temperate coastal waters of the USA (30 - 45 N latitude, -66 to -88 W and -117 to -125 W longitude)";
    String projects_0_name "Ocean Acidification: Scope for Resilience to Ocean Acidification in Macroalgae";
    String projects_0_project_nid "2275";
    String projects_0_start_date "2013-06";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Carbonate chemistry over a time-course in pH drift experiments with Plocamium growth collected at Catalina Island, 2014-2015.";
    String title "[Plocamium: pH drift] - Carbonate chemistry over a time-course in pH drift experiments with Plocamium growth collected at Catalina Island, 2014-2015 (Seaweed OA Resilience project) (Ocean Acidification: Scope for Resilience to Ocean Acidification in Macroalgae)";
    String version "1";
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

---

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