ERDDAP > tabledap > Data Access Form

Dataset Title:	[CTD bottle data from KM2113 and KM2212] - CTD seawater bottle data collected from the R/V Kilo Moana cruises KM2113 and KM2212 in the North Pacific Ocean in 2021 and 2022 (Collaborative Research: Defying Dissolution: Unraveling the Enigma of North Pacific Deep-Sea Scleractinian Reefs in Undersaturated Water)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_1000924_v1)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
EXPOCODE (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"33KB20210826"	"33KB20220915"
Cruise_ID (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"KM2113"	"KM2212"
Station_ID (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	42
Cast_number (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	4
Rosette_position (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	24
Niskin_ID (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	24
Niskin_flag (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		2	2
Sample_ID (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		10101	420422
Year_UTC (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2021"	"2022"
Month_UTC (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"08"	"10"
Day_UTC (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"01"	"29"
Time_UTC (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"00:09"	"21:03"
Yearday_UTC (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		238.29	297.42
time (Iso_datetime_utc, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2021-08-26T07:00:00Z	2022-10-24T10:11:00Z
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		26.17	35.1
Longitude (decimal degrees)	!= =~ <= >= = < >		!= =~ <= >= = < >		171.9	186.73
longitude (Longitude_180, degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-178.94	179.06
Depth_bottom (meter (m))	!= =~ <= >= = < >		!= =~ <= >= = < >		960	2424
depth (m)	!= =~ <= >= = < >		!= =~ <= >= = < >		10	2448
CTDTEMP_ITS90 (degrees Celsius)	!= =~ <= >= = < >		!= =~ <= >= = < >		1.75	27.96
CTDTEMP_flag (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		2	9
CTDSAL_PSS78 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		34.0	35.4
CTDSAL_flag (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		2	9
CTDOXY (micromoles per kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		13.8	240.6
CTDOXY_flag (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		2	9
DIC (micromoles per kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		1955	2395
DIC_flag (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		2	9
TA (micromoles per kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		2140	2542
TA_flag (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		2	9
Silicate (micromoles per kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.97	182.59
Silicate_flag (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		2	9
Phosphate (micromoles per kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.01	3.39
Phosphate_flag (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		2	9
Nitrate_and_Nitrite (micromoles per kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.01	40.99
Nitrate_and_Nitrite_flag (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		2	9
Ammonium (micromoles per kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		"0.02"	"<0.02"

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" EXPOCODE Cruise_ID Station_ID Cast_number Rosette_position Niskin_ID Niskin_flag Sample_ID Year_UTC Month_UTC Day_UTC Time_UTC Yearday_UTC time latitude Longitude longitude Depth_bottom depth CTDTEMP_ITS90 CTDTEMP_flag CTDSAL_PSS78 CTDSAL_flag CTDOXY CTDOXY_flag DIC DIC_flag TA TA_flag Silicate Silicate_flag Phosphate Phosphate_flag Nitrate_and_Nitrite Nitrate_and_Nitrite_flag Ammonium EXPOCODE Cruise_ID Station_ID Cast_number Rosette_position Niskin_ID Niskin_flag Sample_ID Year_UTC Month_UTC Day_UTC Time_UTC Yearday_UTC time latitude Longitude longitude Depth_bottom depth CTDTEMP_ITS90 CTDTEMP_flag CTDSAL_PSS78 CTDSAL_flag CTDOXY CTDOXY_flag DIC DIC_flag TA TA_flag Silicate Silicate_flag Phosphate Phosphate_flag Nitrate_and_Nitrite Nitrate_and_Nitrite_flag Ammonium EXPOCODE Cruise_ID Station_ID Cast_number Rosette_position Niskin_ID Niskin_flag Sample_ID Year_UTC Month_UTC Day_UTC Time_UTC Yearday_UTC time latitude Longitude longitude Depth_bottom depth CTDTEMP_ITS90 CTDTEMP_flag CTDSAL_PSS78 CTDSAL_flag CTDOXY CTDOXY_flag DIC DIC_flag TA TA_flag Silicate Silicate_flag Phosphate Phosphate_flag Nitrate_and_Nitrite Nitrate_and_Nitrite_flag Ammonium EXPOCODE Cruise_ID Station_ID Cast_number Rosette_position Niskin_ID Niskin_flag Sample_ID Year_UTC Month_UTC Day_UTC Time_UTC Yearday_UTC time latitude Longitude longitude Depth_bottom depth CTDTEMP_ITS90 CTDTEMP_flag CTDSAL_PSS78 CTDSAL_flag CTDOXY CTDOXY_flag DIC DIC_flag TA TA_flag Silicate Silicate_flag Phosphate Phosphate_flag Nitrate_and_Nitrite Nitrate_and_Nitrite_flag Ammonium EXPOCODE Cruise_ID Station_ID Cast_number Rosette_position Niskin_ID Niskin_flag Sample_ID Year_UTC Month_UTC Day_UTC Time_UTC Yearday_UTC time latitude Longitude longitude Depth_bottom depth CTDTEMP_ITS90 CTDTEMP_flag CTDSAL_PSS78 CTDSAL_flag CTDOXY CTDOXY_flag DIC DIC_flag TA TA_flag Silicate Silicate_flag Phosphate Phosphate_flag Nitrate_and_Nitrite Nitrate_and_Nitrite_flag Ammonium ")

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 )
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  EXPOCODE {
    String long_name "Expocode";
    String units "unitless";
  }
  Cruise_ID {
    String long_name "Cruise_id";
    String units "unitless";
  }
  Station_ID {
    Int32 actual_range 1, 42;
    String long_name "Station_id";
    String units "unitless";
  }
  Cast_number {
    Int32 actual_range 1, 4;
    String long_name "Cast_number";
    String units "unitless";
  }
  Rosette_position {
    Int32 actual_range 1, 24;
    String long_name "Rosette_position";
    String units "unitless";
  }
  Niskin_ID {
    Int32 actual_range 1, 24;
    String long_name "Niskin_id";
    String units "unitless";
  }
  Niskin_flag {
    Int32 actual_range 2, 2;
    String long_name "Niskin_flag";
    String units "unitless";
  }
  Sample_ID {
    Int32 actual_range 10101, 420422;
    String long_name "Sample_id";
    String units "unitless";
  }
  Year_UTC {
    String long_name "Year_utc";
    String units "unitless";
  }
  Month_UTC {
    String long_name "Month_utc";
    String units "unitless";
  }
  Day_UTC {
    String long_name "Day_utc";
    String units "unitless";
  }
  Time_UTC {
    String long_name "Time_utc";
    String units "unitless";
  }
  Yearday_UTC {
    Float32 actual_range 238.29, 297.42;
    String long_name "Yearday_utc";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.6299612e+9, 1.66660626e+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 {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 26.17, 35.1;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  Longitude {
    Float32 actual_range 171.9, 186.73;
    String long_name "Longitude";
    String units "decimal degrees";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -178.94, 179.06;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude_180";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Depth_bottom {
    Int32 actual_range 960, 2424;
    String long_name "Depth_bottom";
    String units "meter (m)";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Int32 actual_range 10, 2448;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  CTDTEMP_ITS90 {
    Float32 actual_range 1.75, 27.96;
    String long_name "Ctdtemp_its90";
    String units "degrees Celsius";
  }
  CTDTEMP_flag {
    Int32 actual_range 2, 9;
    String long_name "Ctdtemp_flag";
    String units "unitless";
  }
  CTDSAL_PSS78 {
    Float32 actual_range 34.0, 35.4;
    String long_name "Ctdsal_pss78";
    String units "unitless";
  }
  CTDSAL_flag {
    Int32 actual_range 2, 9;
    String long_name "Ctdsal_flag";
    String units "unitless";
  }
  CTDOXY {
    Float32 actual_range 13.8, 240.6;
    String long_name "Ctdoxy";
    String units "micromoles per kilogram (umol/kg)";
  }
  CTDOXY_flag {
    Int32 actual_range 2, 9;
    String long_name "Ctdoxy_flag";
    String units "unitless";
  }
  DIC {
    Int32 actual_range 1955, 2395;
    String long_name "Dic";
    String units "micromoles per kilogram (umol/kg)";
  }
  DIC_flag {
    Int32 actual_range 2, 9;
    String long_name "Dic_flag";
    String units "unitless";
  }
  TA {
    Int32 actual_range 2140, 2542;
    String long_name "Ta";
    String units "micromoles per kilogram (umol/kg)";
  }
  TA_flag {
    Int32 actual_range 2, 9;
    String long_name "Ta_flag";
    String units "unitless";
  }
  Silicate {
    Float32 actual_range 0.97, 182.59;
    String long_name "Silicate";
    String units "micromoles per kilogram (umol/kg)";
  }
  Silicate_flag {
    Int32 actual_range 2, 9;
    String long_name "Silicate_flag";
    String units "unitless";
  }
  Phosphate {
    Float32 actual_range 0.01, 3.39;
    String long_name "Phosphate";
    String units "micromoles per kilogram (umol/kg)";
  }
  Phosphate_flag {
    Int32 actual_range 2, 9;
    String long_name "Phosphate_flag";
    String units "unitless";
  }
  Nitrate_and_Nitrite {
    Float32 actual_range 0.01, 40.99;
    String long_name "Nitrate_and_nitrite";
    String units "micromoles per kilogram (umol/kg)";
  }
  Nitrate_and_Nitrite_flag {
    Int32 actual_range 2, 9;
    String long_name "Nitrate_and_nitrite_flag";
    String units "unitless";
  }
  Ammonium {
    String long_name "Ammonium";
    String units "micromoles per kilogram (umol/kg)";
  }
 }
  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 defaultDataQuery "&time<now";
    String doi "10.26008/1912/bco-dmo.1000924.1";
    Float64 Easternmost_Easting 179.06;
    Float64 geospatial_lat_max 35.1;
    Float64 geospatial_lat_min 26.17;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.06;
    Float64 geospatial_lon_min -178.94;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 2448.0;
    Float64 geospatial_vertical_min 10.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2026-07-15T08:30:40Z (local files)
2026-07-15T08:30:40Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1000924_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/1000924";
    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 35.1;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 26.17;
    String summary "This dataset contains CTD bottle data collected in the North Pacific Ocean (25 – 35°N and 170°E – 170°W) from August 26 to September 26, 2021 (KM2113) and September 9 to October 22, 2022 (KM2212) aboard the R/V Kilo Moana. Conductivity, temperature, and depth profiles and discrete seawater samples were collected near Northwestern Hawaiian Islands and Emperor Seamount Chain using a shipboard Seabird Electronic SBE25 profiler with salinity, temperature, depth, and dissolved oxygen sensors attached to a 24 12-liter Niskin bottle rosette. All data taken were part of the collaborative research project, \"Defying Dissolution: Unraveling the Enigma of North Pacific Deep-Sea Scleractinian Reefs in Undersaturated Water\". Understanding the seawater characteristics allows for the quantification of biogeochemical systems within the study area to assess the implications of seawater to the deep-sea coral reefs.";
    String time_coverage_end "2022-10-24T10:11:00Z";
    String time_coverage_start "2021-08-26T07:00:00Z";
    String title "[CTD bottle data from KM2113 and KM2212] - CTD seawater bottle data collected from the R/V Kilo Moana cruises KM2113 and KM2212 in the North Pacific Ocean in 2021 and 2022 (Collaborative Research:  Defying Dissolution:  Unraveling the Enigma of North Pacific Deep-Sea Scleractinian Reefs in Undersaturated Water)";
    Float64 Westernmost_Easting -178.94;
  }
}

 

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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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