ERDDAP > tabledap > Data Access Form

Dataset Title:	[Winter to spring transition in a fjord in the northern Gulf of Alaska dataset - CTD data] - CTD (temperature, salinity and fluorescence) from bi- weekly vertical profiles in Resurrection Bay, AK from January to March of 2023 (Collaborative Research: Zooplankton restarts in a high-latitude marine ecosystem: species-specific recruitment and development in early spring)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_954156_v1)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
cruise (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"NUQ202301S"	"NUQ202315S"
station (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"RES2.5"	"RES2.5"
date_local (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2023-01-05"	"2023-03-24"
start_time_local (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"09:45"	"14:54"
time (Start_datetime_utc, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2023-01-05T20:24:00Z	2023-03-24T18:09:00Z
julianday (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		5	83
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		60.025	60.025
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-149.3583	-149.3583
binned_pressure (Decibars (dbar))	!= =~ <= >= = < >		!= =~ <= >= = < >		"1"	"99"
temperature (Celsius (C))	!= =~ <= >= = < >		!= =~ <= >= = < >		3.6081	7.2091
conductivity (Siemens per meter (S/m))	!= =~ <= >= = < >		!= =~ <= >= = < >		2.780098	3.296765
turbidity (Nephelometric Turbidity Unit (NTU))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.4028	1.6972
fluorescence (Milligrams per cubic meter (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.6882	6.4889
time_elapsed (Seconds (s))	!= =~ <= >= = < >		!= =~ <= >= = < >		3.365	194.275
scan (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		28	1555
depth (m)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.99	279.147
salinity (Practical Salinity Units (PSU))	!= =~ <= >= = < >		!= =~ <= >= = < >		29.0385	33.2372
sigmaT (Kilograms per cubic meter (kg/m^3 ))	!= =~ <= >= = < >		!= =~ <= >= = < >		23.0106	26.1539
descent_rate (Meters per second (m/s))	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.121	2.864
nbin (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		2	8

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" cruise station date_local start_time_local time julianday latitude longitude binned_pressure temperature conductivity turbidity fluorescence time_elapsed scan depth salinity sigmaT descent_rate nbin cruise station date_local start_time_local time julianday latitude longitude binned_pressure temperature conductivity turbidity fluorescence time_elapsed scan depth salinity sigmaT descent_rate nbin cruise station date_local start_time_local time julianday latitude longitude binned_pressure temperature conductivity turbidity fluorescence time_elapsed scan depth salinity sigmaT descent_rate nbin cruise station date_local start_time_local time julianday latitude longitude binned_pressure temperature conductivity turbidity fluorescence time_elapsed scan depth salinity sigmaT descent_rate nbin cruise station date_local start_time_local time julianday latitude longitude binned_pressure temperature conductivity turbidity fluorescence time_elapsed scan depth salinity sigmaT descent_rate nbin ")

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 {
  cruise {
    String long_name "Cruise";
    String units "unitless";
  }
  station {
    String long_name "Station";
    String units "unitless";
  }
  date_local {
    String long_name "Date_local";
    String units "unitless";
  }
  start_time_local {
    String long_name "Start_time_local";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.67295024e+9, 1.67968134e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Start_datetime_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  julianday {
    Int32 actual_range 5, 83;
    String long_name "Julianday";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 60.025, 60.025;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -149.3583, -149.3583;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  binned_pressure {
    String long_name "Binned_pressure";
    String units "Decibars (dbar)";
  }
  temperature {
    Float32 actual_range 3.6081, 7.2091;
    String long_name "Temperature";
    String units "Celsius (C)";
  }
  conductivity {
    Float32 actual_range 2.780098, 3.296765;
    String long_name "Conductivity";
    String units "Siemens per meter (S/m)";
  }
  turbidity {
    Float32 actual_range 0.4028, 1.6972;
    String long_name "Turbidity";
    String units "Nephelometric Turbidity Unit (NTU)";
  }
  fluorescence {
    Float32 actual_range 0.6882, 6.4889;
    String long_name "Fluorescence";
    String units "Milligrams per cubic meter (mg/m^3)";
  }
  time_elapsed {
    Float32 actual_range 3.365, 194.275;
    String long_name "Time_elapsed";
    String units "Seconds (s)";
  }
  scan {
    Int32 actual_range 28, 1555;
    String long_name "Scan";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 0.99, 279.147;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  salinity {
    Float32 actual_range 29.0385, 33.2372;
    String long_name "Salinity";
    String units "Practical Salinity Units (PSU)";
  }
  sigmaT {
    Float32 actual_range 23.0106, 26.1539;
    String long_name "Sigmat";
    String units "Kilograms per cubic meter (kg/m^3 )";
  }
  descent_rate {
    Float32 actual_range -0.121, 2.864;
    String long_name "Descent_rate";
    String units "Meters per second (m/s)";
  }
  nbin {
    Int32 actual_range 2, 8;
    String long_name "Nbin";
    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.954156.1";
    Float64 Easternmost_Easting -149.3583;
    Float64 geospatial_lat_max 60.025;
    Float64 geospatial_lat_min 60.025;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -149.3583;
    Float64 geospatial_lon_min -149.3583;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 279.147;
    Float64 geospatial_vertical_min 0.99;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2025-05-12T01:00:00Z (local files)
2025-05-12T01:00:00Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_954156_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/954156";
    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 60.025;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 60.025;
    String summary "The Gulf of Alaska is a highly seasonal environment that is characterized by an order-of-magnitude increase in copepod biomass in the photic zone between winter and spring. The study focused on copepod recruitment to characterize species-specific naupliar production. Concurrent environmental monitoring included approximately bi-weekly vertical profiles of temperature, salinity and fluorescence were recorded at an established station (RES2.5) in Resurrection Bay, AK.  Day-trips aboard the R/V Nanuq were conducted approximately bi-weekly in Resurrection Bay, AK during January to March, 2023.";
    String time_coverage_end "2023-03-24T18:09:00Z";
    String time_coverage_start "2023-01-05T20:24:00Z";
    String title "[Winter to spring transition in a fjord in the northern Gulf of Alaska dataset - CTD data] - CTD (temperature, salinity and fluorescence) from bi-weekly vertical profiles in Resurrection Bay, AK from January to March of 2023 (Collaborative Research: Zooplankton restarts in a high-latitude marine ecosystem: species-specific recruitment and development in early spring)";
    Float64 Westernmost_Easting -149.3583;
  }
}

 

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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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