ERDDAP > tabledap > Data Access Form

Dataset Title:	[Organic Alkalinity Discrete Data] - Organic alkalinity data from estuary transects in Coastal Gulf of Maine (Pleasant, Maine; St. John, New Brunswick) in May and October of 2018 and 2019 (Collaborative Research: Organic Alkalinity: Impacts of the [OTHER] Alkalinity on Estuary and Coastal Ocean Chemistry)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_918545_v1)
Information:	Summary | License | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
ID (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"PL-1"	"SJ-9"
Collection_Date (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"05-15-18"	"10-25-18"
Collection_Time (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		111030	203520
time (Iso_datetime_utc, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2018-05-15T14:23:00Z	2019-10-24T15:21:20Z
Latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		44.48	45.941
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-67.764	-66.001
Salinity (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	32.46
In_Situ_Water_Temperature (degrees Celcius)	!= =~ <= >= = < >		!= =~ <= >= = < >		5.12	15.32
pHT (unitless (total scale))	!= =~ <= >= = < >		!= =~ <= >= = < >		3.976	7.754
pH_Method (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Electrode"	"mCP"
pCO2 (microatmospheres)	!= =~ <= >= = < >		!= =~ <= >= = < >		378.07	1656.27
DOC (micromoles carbon per liter)	!= =~ <= >= = < >		!= =~ <= >= = < >		74.57	1944.27
T_Alk (micromoles per kilogram)	!= =~ <= >= = < >		!= =~ <= >= = < >		-92.2	2193.8
DIC (micromoles per kilogram)	!= =~ <= >= = < >		!= =~ <= >= = < >		123.06	2136.4
OrgAlk_from_Endpoint_Titration (micromoles per kilogram)	!= =~ <= >= = < >		!= =~ <= >= = < >		3.65	55.39
OrgAlk_from_Second_Gran_Titration (micromoles per kilogram)	!= =~ <= >= = < >		!= =~ <= >= = < >		-31.9	110.13
SiO2 (micromoles per liter)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.83	89.74
PO4 (micromoles per liter)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.03	4.56
X1T (moles per kilogram)	!= =~ <= >= = < >		!= =~ <= >= = < >		6.29E-6	2.34E-4
K1org (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		5.21E-8	0.001
X2T (moles per kilogram)	!= =~ <= >= = < >		!= =~ <= >= = < >		1.7E-13	1.85E-4
K2org (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		4.91E-9	0.001
X3T (moles per kilogram)	!= =~ <= >= = < >		!= =~ <= >= = < >		6.64E-5	0.00108
K3org (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1.08E-9	1.63E-8

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" ID Collection_Date Collection_Time time Latitude longitude Salinity In_Situ_Water_Temperature pHT pH_Method pCO2 DOC T_Alk DIC OrgAlk_from_Endpoint_Titration OrgAlk_from_Second_Gran_Titration SiO2 PO4 X1T K1org X2T K2org X3T K3org ID Collection_Date Collection_Time time Latitude longitude Salinity In_Situ_Water_Temperature pHT pH_Method pCO2 DOC T_Alk DIC OrgAlk_from_Endpoint_Titration OrgAlk_from_Second_Gran_Titration SiO2 PO4 X1T K1org X2T K2org X3T K3org ID Collection_Date Collection_Time time Latitude longitude Salinity In_Situ_Water_Temperature pHT pH_Method pCO2 DOC T_Alk DIC OrgAlk_from_Endpoint_Titration OrgAlk_from_Second_Gran_Titration SiO2 PO4 X1T K1org X2T K2org X3T K3org ID Collection_Date Collection_Time time Latitude longitude Salinity In_Situ_Water_Temperature pHT pH_Method pCO2 DOC T_Alk DIC OrgAlk_from_Endpoint_Titration OrgAlk_from_Second_Gran_Titration SiO2 PO4 X1T K1org X2T K2org X3T K3org ID Collection_Date Collection_Time time Latitude longitude Salinity In_Situ_Water_Temperature pHT pH_Method pCO2 DOC T_Alk DIC OrgAlk_from_Endpoint_Titration OrgAlk_from_Second_Gran_Titration SiO2 PO4 X1T K1org X2T K2org X3T K3org ")

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 {
  ID {
    String long_name "Id";
    String units "unitless";
  }
  Collection_Date {
    String long_name "Collection_date";
    String units "unitless";
  }
  Collection_Time {
    Int32 actual_range 111030, 203520;
    String long_name "Collection_time";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.52639418e+9, 1.57193048e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Iso_datetime_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  Latitude {
    Float32 actual_range 44.48, 45.941;
    String long_name "Latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -67.764, -66.001;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Salinity {
    Float32 actual_range 0.0, 32.46;
    String long_name "Salinity";
    String units "unitless";
  }
  In_Situ_Water_Temperature {
    Float32 actual_range 5.12, 15.32;
    String long_name "In_situ_water_temperature";
    String units "degrees Celcius";
  }
  pHT {
    Float32 actual_range 3.976, 7.754;
    String long_name "Pht";
    String units "unitless (total scale)";
  }
  pH_Method {
    String long_name "Ph_method";
    String units "unitless";
  }
  pCO2 {
    Float32 actual_range 378.07, 1656.27;
    String long_name "Pco2";
    String units "microatmospheres";
  }
  DOC {
    Float32 actual_range 74.57, 1944.27;
    String long_name "Doc";
    String units "micromoles carbon per liter";
  }
  T_Alk {
    Float32 actual_range -92.2, 2193.8;
    String long_name "T_alk";
    String units "micromoles per kilogram";
  }
  DIC {
    Float32 actual_range 123.06, 2136.4;
    String long_name "Dic";
    String units "micromoles per kilogram";
  }
  OrgAlk_from_Endpoint_Titration {
    Float32 actual_range 3.65, 55.39;
    String long_name "Orgalk_from_endpoint_titration";
    String units "micromoles per kilogram";
  }
  OrgAlk_from_Second_Gran_Titration {
    Float32 actual_range -31.9, 110.13;
    String long_name "Orgalk_from_second_gran_titration";
    String units "micromoles per kilogram";
  }
  SiO2 {
    Float32 actual_range 0.83, 89.74;
    String long_name "Sio2";
    String units "micromoles per liter";
  }
  PO4 {
    Float32 actual_range 0.03, 4.56;
    String long_name "Po4";
    String units "micromoles per liter";
  }
  X1T {
    Float32 actual_range 6.29e-6, 2.34e-4;
    String long_name "X1t";
    String units "moles per kilogram";
  }
  K1org {
    Float32 actual_range 5.21e-8, 0.001;
    String long_name "K1org";
    String units "unitless";
  }
  X2T {
    Float32 actual_range 1.7e-13, 1.85e-4;
    String long_name "X2t";
    String units "moles per kilogram";
  }
  K2org {
    Float32 actual_range 4.91e-9, 0.001;
    String long_name "K2org";
    String units "unitless";
  }
  X3T {
    Float32 actual_range 6.64e-5, 0.00108;
    String long_name "X3t";
    String units "moles per kilogram";
  }
  K3org {
    Float32 actual_range 1.08e-9, 1.63e-8;
    String long_name "K3org";
    String units "unitless";
  }
 }
  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.918545.1";
    Float64 Easternmost_Easting -66.001;
    Float64 geospatial_lon_max -66.001;
    Float64 geospatial_lon_min -67.764;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-21T11:36:30Z (local files)
2024-11-21T11:36:30Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918545_v1.html";
    String infoUrl "https://www.bco-dmo.org/dataset/918545";
    String institution "BCO-DMO";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    String sourceUrl "(local files)";
    String summary 
"Four organic alkalinity estuary transects, in May and October of 2018 and 2019, were completed in the Pleasant (Maine, USA) and St. John (New Brunswick, Canada) estuaries.  Discrete samples were collected at intervals of salinity along each estuary.  An underway measurements system was also operated during each transect (see \"Related Datasets\" section).  Discrete samples were analyzed via a number of methods described below.  Underway measurements were collected using the procedures described in Hunt et al. (2013).

Organic alkalinity is a poorly understood component of the estuarine and coastal ocean acid-base system.  This lack of understanding makes assessment of ocean acidification vulnerability and inorganic carbon dynamics more difficult.  However, the methods used to quantify organic alkalinity and its effects on the acid-base system are not standardized.  In this work we examined several approaches for the measurement of organic alkalinity, and their application to inorganic carbon dynamics.";
    String time_coverage_end "2019-10-24T15:21:20Z";
    String time_coverage_start "2018-05-15T14:23:00Z";
    String title "[Organic Alkalinity Discrete Data] - Organic alkalinity data from estuary transects in Coastal Gulf of Maine (Pleasant, Maine; St. John, New Brunswick) in May and October of 2018 and 2019 (Collaborative Research: Organic Alkalinity: Impacts of the [OTHER] Alkalinity on Estuary and Coastal Ocean Chemistry)";
    Float64 Westernmost_Easting -67.764;
  }
}

 

---

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