ERDDAP > tabledap > Data Access Form

Dataset Title:	[Siphonophore bulk stable isotopes] - Bulk stable isotopes from siphonophores collected during four research cruises on the R/V Wester Flyer in the California Current Ecosystem between 2019 and 2021 (Collaborative research: The effects of predator traits on the structure of oceanic food webs)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_916958_v1)
Information:	Summary | License | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
Ship (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Western Flyer"	"Western Flyer"
Chief_Scientist (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"SHD Haddock"	"SHD Haddock"
Cruise_Name (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"WF0120"	"WF0721"
Year (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2019"	"2021"
Month (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"01"	"07"
Family (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Agalmatidae"	"Stephanomiidae"
Genus (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Agalma"	"Vogtia"
Best_Taxonomic_ID (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Agalma"	"Vogtia serrata"
depth (Depth_m, m)	!= =~ <= >= = < >		!= =~ <= >= = < >		5.0	3647.47
Latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		32.72	37.19667
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-125.0377	-117.7175
EAweight_mg (milligrams (mg))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.7054	12.29
ug_C (micrograms (ug))	!= =~ <= >= = < >		!= =~ <= >= = < >		23.2	691.7
d13C (parts per thousand)	!= =~ <= >= = < >		!= =~ <= >= = < >		-23.3	-16.7
ug_N (micrograms (ug))	!= =~ <= >= = < >		!= =~ <= >= = < >		5.8	198.5
d15N (parts per thousand)	!= =~ <= >= = < >		!= =~ <= >= = < >		8.1	17.3

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Ship Chief_Scientist Cruise_Name Year Month Family Genus Best_Taxonomic_ID depth Latitude longitude EAweight_mg ug_C d13C ug_N d15N Ship Chief_Scientist Cruise_Name Year Month Family Genus Best_Taxonomic_ID depth Latitude longitude EAweight_mg ug_C d13C ug_N d15N Ship Chief_Scientist Cruise_Name Year Month Family Genus Best_Taxonomic_ID depth Latitude longitude EAweight_mg ug_C d13C ug_N d15N Ship Chief_Scientist Cruise_Name Year Month Family Genus Best_Taxonomic_ID depth Latitude longitude EAweight_mg ug_C d13C ug_N d15N Ship Chief_Scientist Cruise_Name Year Month Family Genus Best_Taxonomic_ID depth Latitude longitude EAweight_mg ug_C d13C ug_N d15N ")

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 {
  Ship {
    String long_name "Ship";
    String units "unitless";
  }
  Chief_Scientist {
    String long_name "Chief_scientist";
    String units "unitless";
  }
  Cruise_Name {
    String long_name "Cruise_name";
    String units "unitless";
  }
  Year {
    String long_name "Year";
    String units "unitless";
  }
  Month {
    String long_name "Month";
    String units "unitless";
  }
  Family {
    String long_name "Family";
    String units "unitless";
  }
  Genus {
    String long_name "Genus";
    String units "unitless";
  }
  Best_Taxonomic_ID {
    String long_name "Best_taxonomic_id";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 5.0, 3647.47;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth_m";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Latitude {
    Float32 actual_range 32.72, 37.19667;
    String long_name "Latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -125.0377, -117.7175;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  EAweight_mg {
    Float32 actual_range 0.7054, 12.29;
    String long_name "Eaweight_mg";
    String units "milligrams (mg)";
  }
  ug_C {
    Float32 actual_range 23.2, 691.7;
    String long_name "Ug_c";
    String units "micrograms (ug)";
  }
  d13C {
    Float32 actual_range -23.3, -16.7;
    String long_name "D13c";
    String units "parts per thousand";
  }
  ug_N {
    Float32 actual_range 5.8, 198.5;
    String long_name "Ug_n";
    String units "micrograms (ug)";
  }
  d15N {
    Float32 actual_range 8.1, 17.3;
    String long_name "D15n";
    String units "parts per thousand";
  }
 }
  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.916958.1";
    Float64 Easternmost_Easting -117.7175;
    Float64 geospatial_lon_max -117.7175;
    Float64 geospatial_lon_min -125.0377;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 3647.47;
    Float64 geospatial_vertical_min 5.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-12T20:49:32Z (local files)
2024-11-12T20:49:32Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_916958_v1.html";
    String infoUrl "https://www.bco-dmo.org/dataset/916958";
    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 "Samples of siphonophores (Cnidaria, Hydrozoa) were collected using blue‑water diving, midwater trawls, and remotely operated vehicles in the California Current Ecosystem, from 0 to 3,000 meters depth. Siphonophore samples were collected on four research cruises on the R/V Wester Flyer between 2019-2021. To remove potential biases associated with tissue‑specific variability in stable isotope values, the gelatinous swimming bells (nectophores) of siphonophores were sampled. This approach was possible for most specimens, except for physonect species that are extremely fragile or have nectosomes that are a small fraction of the colony length and are often not collected. For these species (e.g., Apolemia spp.), the gelatinous bracts and pieces of the siphosome, excluding gastrozooids, were used. For small individuals (Diphyes dispar, Nanomia bijuga, and Sphaeronectes koellikeri), nectophores from several colonies that were captured at the same time and sampling location were pooled to obtain an adequate mass for isotope analyses. A subset of samples was selected for compound-specific isotope analysis of amino acids. These specific taxa were selected as representatives of different depth habitats, suborders, and hypothesized diets. Bulk and compound-specific isotope analyses were performed at the University of Hawaii's Biogeochemistry Stable Isotope Facility. This dataset includes the bulk stable isotope measurements along with metadata for specimens when possible (collection month and year, latitude, longitude, depth).";
    String title "[Siphonophore bulk stable isotopes] - Bulk stable isotopes from siphonophores collected during four research cruises on the R/V Wester Flyer in the California Current Ecosystem between 2019 and 2021 (Collaborative research: The effects of predator traits on the structure of oceanic food webs)";
    Float64 Westernmost_Easting -125.0377;
  }
}

 

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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.
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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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