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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)
Range:	longitude = -125.0377 to -117.7175°E, depth = 5.0 to 3647.47m
Information:	Summary | License | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks X Axis:  depth Latitude longitude EAweight_mg ug_C d13C ug_N d15N Y Axis:  depth Latitude longitude EAweight_mg ug_C d13C ug_N d15N Color:  depth Latitude longitude EAweight_mg ug_C d13C ug_N d15N   Constraints Optional Constraint #1 Optional Constraint #2 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     != =~ <= >= = < >     != =~ <= >= = < >   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 ")   Graph Settings Marker Type:  None Plus X Dot Square Filled Square Circle Filled Circle Up Triangle Filled Up Triangle Borderless Filled Square Borderless Filled Circle Borderless Filled Up Triangle  Size:  3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Color:  Color Bar:  BlackBlueWhite BlackGreenWhite BlackRedWhite BlackWhite BlueWhiteRed BlueWideWhiteRed LightRainbow Ocean OceanDepth Rainbow Rainbow2 Rainfall ReverseRainbow RedWhiteBlue RedWhiteBlue2 RedWideWhiteBlue Spectrum Topography TopographyDepth WhiteBlueBlack WhiteGreenBlack WhiteRedBlack WhiteBlack YellowRed KT_algae KT_amp KT_balance KT_curl KT_deep KT_delta KT_dense KT_gray KT_haline KT_ice KT_matter KT_oxy KT_phase KT_solar KT_speed KT_tempo KT_thermal KT_turbid  Continuity:  Continuous Discrete  Scale:  Linear Log    Minimum:   Maximum:   N Sections:  2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 Y Axis Minimum:   Maximum:    Ascending Descending Linear Log   Redraw the Graph (Please be patient. It may take a while to get the data.)   Optional: Then set the File Type: .asc .csv .csvp .csv0 .dataTable .das .dds .dods .esriCsv .fgdc .geoJson .graph .help .html .htmlTable .iso19115 .itx .json .jsonlCSV1 .jsonlCSV .jsonlKVP .mat .nc .ncHeader .ncCF .ncCFHeader .ncCFMA .ncCFMAHeader .nccsv .nccsvMetadata .ncoJson .odvTxt .subset .tsv .tsvp .tsv0 .wav .xhtml .kml .smallPdf .pdf .largePdf .smallPng .png .largePng .transparentPng (File Type information) and or view the URL: (Documentation / Bypass this form )

 

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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

• Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
• Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.
   

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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 
"2024-11-14T03:20:12Z (local files)
2024-11-14T03:20:12Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_916958_v1.das";
    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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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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