ERDDAP > tabledap > Data Access Form

Dataset Title:	[HydEst TM-CTD bottle sensor data] - Trace metal CTD bottle sensor data from the Hydrothermal Estuaries expedition to the Juan de Fuca hydrothermal plume, Northeast Pacific Ocean, aboard R/V Atlantis (AT50-15) in August and September 2023 (Collaborative Research: Hydrothermal Estuaries: What Sets the Hydrothermal Flux of Fe and Mn to the Oceans?)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_1008499_v1)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
EXPOCODE (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"310220230827"	"310220230827"
CRUISE_ID (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"AT50-15"	"AT50-15"
CRUISE_NAME (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Hydrothermal Estua..."	"Hydrothermal Estua..."
EVENTNO (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"20230828.0714.001"	"20230915.1012.001"
STNNBR (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		2	19
CASTNO (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	7
START_DATE_PDT (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2023-08-28"	"2023-09-15"
START_TIME_PDT (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"00:15"	"23:50"
ISO_DATE_TIME_START_PDT (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2023-08-28T00:15:0..."	"2023-09-15T03:11:0..."
time (Iso_date_time_start_utc, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2023-08-28T07:15:00Z	2023-09-15T10:11:00Z
END_DATE_PDT (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2023-08-28"	"2023-09-15"
END_TIME_PDT (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"00:55"	"21:30"
ISO_DATE_TIME_END_PDT (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2023-08-28T02:16:0..."	"2023-09-15T05:06:0..."
ISO_DATE_TIME_END_UTC (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2023-08-28T09:16:00Z	2023-09-15T12:06:00Z
latitude (Start_event_lat, degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		47.92356	48.00336
longitude (Start_event_lon, degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-129.235	-129.0603
END_EVENT_LAT (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		47.92355	48.00336
END_EVENT_LON (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-129.235	-129.0603
BTMDEPTH (meters)	!= =~ <= >= = < >		!= =~ <= >= = < >		2084	2564
BTLNBR (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	14
BTLPOS (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	12
SAMPNO (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1001	1322
BTL_FLAG_W (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	3
CTDPRS (decibars)	!= =~ <= >= = < >		!= =~ <= >= = < >		1817.454	2571.347
CTDPRS_FLAG_W (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	2
depth (Ctddepth, m)	!= =~ <= >= = < >		!= =~ <= >= = < >		1794.396	2534.257
CTDTMP (degrees Celsius)	!= =~ <= >= = < >		!= =~ <= >= = < >		1.8066	2.123
CTDTMP_FLAG_W (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	2
CTDSAL (PSS-78)	!= =~ <= >= = < >		!= =~ <= >= = < >		34.5565	34.6203
CTDSAL_FLAG_w (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	2
CTDOXY (micromoles per kilogram (umol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		43.68	72.062
CTDOXY_FLAG_W (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	2
TRANSM (percent (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.0426	97.4839
TRANSM_FLAG_W (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	4
TURBIDITY (Volts)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.024	0.568
TURBIDITY_FLAG_W (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	2

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" EXPOCODE CRUISE_ID CRUISE_NAME EVENTNO STNNBR CASTNO START_DATE_PDT START_TIME_PDT ISO_DATE_TIME_START_PDT time END_DATE_PDT END_TIME_PDT ISO_DATE_TIME_END_PDT ISO_DATE_TIME_END_UTC latitude longitude END_EVENT_LAT END_EVENT_LON BTMDEPTH BTLNBR BTLPOS SAMPNO BTL_FLAG_W CTDPRS CTDPRS_FLAG_W depth CTDTMP CTDTMP_FLAG_W CTDSAL CTDSAL_FLAG_w CTDOXY CTDOXY_FLAG_W TRANSM TRANSM_FLAG_W TURBIDITY TURBIDITY_FLAG_W EXPOCODE CRUISE_ID CRUISE_NAME EVENTNO STNNBR CASTNO START_DATE_PDT START_TIME_PDT ISO_DATE_TIME_START_PDT time END_DATE_PDT END_TIME_PDT ISO_DATE_TIME_END_PDT ISO_DATE_TIME_END_UTC latitude longitude END_EVENT_LAT END_EVENT_LON BTMDEPTH BTLNBR BTLPOS SAMPNO BTL_FLAG_W CTDPRS CTDPRS_FLAG_W depth CTDTMP CTDTMP_FLAG_W CTDSAL CTDSAL_FLAG_w CTDOXY CTDOXY_FLAG_W TRANSM TRANSM_FLAG_W TURBIDITY TURBIDITY_FLAG_W EXPOCODE CRUISE_ID CRUISE_NAME EVENTNO STNNBR CASTNO START_DATE_PDT START_TIME_PDT ISO_DATE_TIME_START_PDT time END_DATE_PDT END_TIME_PDT ISO_DATE_TIME_END_PDT ISO_DATE_TIME_END_UTC latitude longitude END_EVENT_LAT END_EVENT_LON BTMDEPTH BTLNBR BTLPOS SAMPNO BTL_FLAG_W CTDPRS CTDPRS_FLAG_W depth CTDTMP CTDTMP_FLAG_W CTDSAL CTDSAL_FLAG_w CTDOXY CTDOXY_FLAG_W TRANSM TRANSM_FLAG_W TURBIDITY TURBIDITY_FLAG_W EXPOCODE CRUISE_ID CRUISE_NAME EVENTNO STNNBR CASTNO START_DATE_PDT START_TIME_PDT ISO_DATE_TIME_START_PDT time END_DATE_PDT END_TIME_PDT ISO_DATE_TIME_END_PDT ISO_DATE_TIME_END_UTC latitude longitude END_EVENT_LAT END_EVENT_LON BTMDEPTH BTLNBR BTLPOS SAMPNO BTL_FLAG_W CTDPRS CTDPRS_FLAG_W depth CTDTMP CTDTMP_FLAG_W CTDSAL CTDSAL_FLAG_w CTDOXY CTDOXY_FLAG_W TRANSM TRANSM_FLAG_W TURBIDITY TURBIDITY_FLAG_W EXPOCODE CRUISE_ID CRUISE_NAME EVENTNO STNNBR CASTNO START_DATE_PDT START_TIME_PDT ISO_DATE_TIME_START_PDT time END_DATE_PDT END_TIME_PDT ISO_DATE_TIME_END_PDT ISO_DATE_TIME_END_UTC latitude longitude END_EVENT_LAT END_EVENT_LON BTMDEPTH BTLNBR BTLPOS SAMPNO BTL_FLAG_W CTDPRS CTDPRS_FLAG_W depth CTDTMP CTDTMP_FLAG_W CTDSAL CTDSAL_FLAG_w CTDOXY CTDOXY_FLAG_W TRANSM TRANSM_FLAG_W TURBIDITY TURBIDITY_FLAG_W ")

File type: (more information) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .dataTable - A JSON file formatted for use with the Google Visualization client library (Google Charts). .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .dods - OPeNDAP clients use this to download the data in the DODS binary format. .esriCsv - Download a ISO_8859_1 .csv file for ESRI's ArcGIS 9.x and below (separate date and time columns). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .geoJson - Download longitude,latitude,otherColumns data as a UTF-8 GeoJSON .json file. .graph - View a Make A Graph web page. .help - View a web page with a description of tabledap. .html - View an OPeNDAP-style HTML Data Access Form. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .iso19115 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each response column becomes a wave. .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .jsonlCSV1 - View a UTF-8 JSON Lines CSV file with column names on line 1 (mv = 'null'; times are ISO 8601 strings). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = 'null'; times are ISO 8601 strings). .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .mat - Download a MATLAB binary file. .nc - Download a flat, table-like, NetCDF-3 binary file with COARDS/CF/ACDD metadata. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .ncCF - Download a NetCDF-3 CF Discrete Sampling Geometries file (Contiguous Ragged Array). .ncCFHeader - View the UTF-8 header (the metadata) for the .ncCF file. .ncCFMA - Download a NetCDF-3 CF Discrete Sampling Geometries file (Multidimensional Array). .ncCFMAHeader - View the UTF-8 header (the metadata) for the .ncCFMA file. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .odvTxt - Download longitude,latitude,time,otherColumns as an ISO-8859-1 ODV Generic Spreadsheet File (.txt). .subset - View an HTML form which uses faceted search to simplify picking subsets of the data. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .wav - Download a .wav audio file. All columns must be numeric and of the same type. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. Times are ISO 8601 strings. .kml - View a .kml file, suitable for Google Earth. .smallPdf - View a small .pdf image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .smallPng - View a small .png image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .largePng - View a large .png image file with a graph or map. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend).

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  EXPOCODE {
    String long_name "Expocode";
    String units "unitless";
  }
  CRUISE_ID {
    String long_name "Cruise_id";
    String units "unitless";
  }
  CRUISE_NAME {
    String long_name "Cruise_name";
    String units "unitless";
  }
  EVENTNO {
    String long_name "Eventno";
    String units "unitless";
  }
  STNNBR {
    Int32 actual_range 2, 19;
    String long_name "Stnnbr";
    String units "unitless";
  }
  CASTNO {
    Int32 actual_range 1, 7;
    String long_name "Castno";
    String units "unitless";
  }
  START_DATE_PDT {
    String long_name "Start_date_pdt";
    String units "unitless";
  }
  START_TIME_PDT {
    String long_name "Start_time_pdt";
    String units "unitless";
  }
  ISO_DATE_TIME_START_PDT {
    String long_name "Iso_date_time_start_pdt";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.6932069e+9, 1.69477266e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Iso_date_time_start_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  END_DATE_PDT {
    String long_name "End_date_pdt";
    String units "unitless";
  }
  END_TIME_PDT {
    String long_name "End_time_pdt";
    String units "unitless";
  }
  ISO_DATE_TIME_END_PDT {
    String long_name "Iso_date_time_end_pdt";
    String units "unitless";
  }
  ISO_DATE_TIME_END_UTC {
    Float64 actual_range 1.69321416e+9, 1.69477956e+9;
    String ioos_category "Time";
    String long_name "Iso_date_time_end_utc";
    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 47.92356, 48.00336;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Start_event_lat";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -129.235, -129.0603;
    String axis "X";
    String ioos_category "Location";
    String long_name "Start_event_lon";
    String standard_name "longitude";
    String units "degrees_east";
  }
  END_EVENT_LAT {
    Float32 actual_range 47.92355, 48.00336;
    String long_name "End_event_lat";
    String units "degrees_north";
  }
  END_EVENT_LON {
    Float32 actual_range -129.235, -129.0603;
    String long_name "End_event_lon";
    String units "degrees_east";
  }
  BTMDEPTH {
    Int32 actual_range 2084, 2564;
    String long_name "Btmdepth";
    String units "meters";
  }
  BTLNBR {
    Int32 actual_range 1, 14;
    String long_name "Btlnbr";
    String units "unitless";
  }
  BTLPOS {
    Int32 actual_range 1, 12;
    String long_name "Btlpos";
    String units "unitless";
  }
  SAMPNO {
    Int32 actual_range 1001, 1322;
    String long_name "Sampno";
    String units "unitless";
  }
  BTL_FLAG_W {
    Int32 actual_range 1, 3;
    String long_name "Btl_flag_w";
    String units "unitless";
  }
  CTDPRS {
    Float32 actual_range 1817.454, 2571.347;
    String long_name "Ctdprs";
    String units "decibars";
  }
  CTDPRS_FLAG_W {
    Int32 actual_range 1, 2;
    String long_name "Ctdprs_flag_w";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 1794.396, 2534.257;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Ctddepth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  CTDTMP {
    Float32 actual_range 1.8066, 2.123;
    String long_name "Ctdtmp";
    String units "degrees Celsius";
  }
  CTDTMP_FLAG_W {
    Int32 actual_range 1, 2;
    String long_name "Ctdtmp_flag_w";
    String units "unitless";
  }
  CTDSAL {
    Float32 actual_range 34.5565, 34.6203;
    String long_name "Ctdsal";
    String units "PSS-78";
  }
  CTDSAL_FLAG_w {
    Int32 actual_range 1, 2;
    String long_name "Ctdsal_flag_w";
    String units "unitless";
  }
  CTDOXY {
    Float32 actual_range 43.68, 72.062;
    String long_name "Ctdoxy";
    String units "micromoles per kilogram (umol/kg)";
  }
  CTDOXY_FLAG_W {
    Int32 actual_range 1, 2;
    String long_name "Ctdoxy_flag_w";
    String units "unitless";
  }
  TRANSM {
    Float32 actual_range -0.0426, 97.4839;
    String long_name "Transm";
    String units "percent (%)";
  }
  TRANSM_FLAG_W {
    Int32 actual_range 1, 4;
    String long_name "Transm_flag_w";
    String units "unitless";
  }
  TURBIDITY {
    Float32 actual_range 0.024, 0.568;
    String long_name "Turbidity";
    String units "Volts";
  }
  TURBIDITY_FLAG_W {
    Int32 actual_range 1, 2;
    String long_name "Turbidity_flag_w";
    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 defaultDataQuery "&time<now";
    String doi "10.26008/1912/bco-dmo.1008499.1";
    Float64 Easternmost_Easting -129.0603;
    Float64 geospatial_lat_max 48.00336;
    Float64 geospatial_lat_min 47.92356;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -129.0603;
    Float64 geospatial_lon_min -129.235;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 2534.257;
    Float64 geospatial_vertical_min 1794.396;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2026-10-05T19:59:03Z (local files)
2026-10-05T19:59:03Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1008499_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/1008499";
    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 48.00336;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 47.92356;
    String summary "This dataset includes the processed bottle-CTD sensor data collected with depth profiles of a trace metal clean CTD owned by the Fitzsimmons lab and deployed on the Hydrothermal Estuaries cruise to the Endeavour hydrothermal plume, Juan de Fuca Ridge, Northeast Pacific Ocean aboard R/V Atlantis (AT50-15) from August to September 2023. Data are only shown for the depths on which Niskin-X bottles were closed. Bottles were closed on the upcast only, and every depth has duplicate bottles fired to satisfy our water budget requirements. Station locations were selected using modeling estimates and sensor data from the AUV Sentry; a station upstream of the hydrothermal plume was also sampled as a background. Each station (except for the background) targeted the most concentrated plume at sequential distances aimed to represent increasing plume age.";
    String time_coverage_end "2023-09-15T10:11:00Z";
    String time_coverage_start "2023-08-28T07:15:00Z";
    String title "[HydEst TM-CTD bottle sensor data] - Trace metal CTD bottle sensor data from the Hydrothermal Estuaries expedition to the Juan de Fuca hydrothermal plume, Northeast Pacific Ocean, aboard R/V Atlantis (AT50-15) in August and September 2023 (Collaborative Research: Hydrothermal Estuaries: What Sets the Hydrothermal Flux of Fe and Mn to the Oceans?)";
    Float64 Westernmost_Easting -129.235;
  }
}

 

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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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