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Dataset Title:	[Epifluorescence Microscopy Reduced] - Reduced Epifluorescence Microscopy Water Column Samples from R/V Tangaroa TAN1810 in the Chatham Rise (Subtropical and Sub-Antarctic waters off of New Zealand) from October to November 2018 (Salp Food Web Ecology project) (Collaborative Research: Quantifying trophic roles and food web ecology of salp blooms of the Chatham Rise)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_905170_v1)
Range:	longitude = 174.0953 to 180.1157°E, latitude = -45.55567 to -42.66217°N, depth = 5.0 to 100.0m
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks vectors X Axis:  Cast depth longitude latitude Abundance_025_to_05 Abundance_05_to_1 Abundance_1_to_2 Abundance_2_to_4 Abundance_4_to_8 Abundance_8_to_16 Abundance_16_to_32 Abundance_32_to_64 Abundance_64_to_128 Abundance_128_to_256 Abundance_256_to_512 Abundance_512_to_1024 Abundance_1024_to_2048 Biomass_025_to_05 Biomass_05_to_1 Biomass_1_to_2 Biomass_2_to_4 Biomass_4_to_8 Biomass_8_to_16 Biomass_16_to_32 Biomass_32_to_64 Biomass_64_to_128 Biomass_128_to_256 Biomass_256_to_512 Biomass_512_to_1024 Biomass_1024_to_2048 Y Axis:  Cast depth longitude latitude Abundance_025_to_05 Abundance_05_to_1 Abundance_1_to_2 Abundance_2_to_4 Abundance_4_to_8 Abundance_8_to_16 Abundance_16_to_32 Abundance_32_to_64 Abundance_64_to_128 Abundance_128_to_256 Abundance_256_to_512 Abundance_512_to_1024 Abundance_1024_to_2048 Biomass_025_to_05 Biomass_05_to_1 Biomass_1_to_2 Biomass_2_to_4 Biomass_4_to_8 Biomass_8_to_16 Biomass_16_to_32 Biomass_32_to_64 Biomass_64_to_128 Biomass_128_to_256 Biomass_256_to_512 Biomass_512_to_1024 Biomass_1024_to_2048 Color:  Cast depth longitude latitude Abundance_025_to_05 Abundance_05_to_1 Abundance_1_to_2 Abundance_2_to_4 Abundance_4_to_8 Abundance_8_to_16 Abundance_16_to_32 Abundance_32_to_64 Abundance_64_to_128 Abundance_128_to_256 Abundance_256_to_512 Abundance_512_to_1024 Abundance_1024_to_2048 Biomass_025_to_05 Biomass_05_to_1 Biomass_1_to_2 Biomass_2_to_4 Biomass_4_to_8 Biomass_8_to_16 Biomass_16_to_32 Biomass_32_to_64 Biomass_64_to_128 Biomass_128_to_256 Biomass_256_to_512 Biomass_512_to_1024 Biomass_1024_to_2048   Constraints Optional Constraint #1 Optional Constraint #2 Cycle Cast depth longitude latitude Date Abundance_025_to_05 Abundance_05_to_1 Abundance_1_to_2 Abundance_2_to_4 Abundance_4_to_8 Abundance_8_to_16 Abundance_16_to_32 Abundance_32_to_64 Abundance_64_to_128 Abundance_128_to_256 Abundance_256_to_512 Abundance_512_to_1024 Abundance_1024_to_2048 Biomass_025_to_05 Biomass_05_to_1 Biomass_1_to_2 Biomass_2_to_4 Biomass_4_to_8 Biomass_8_to_16 Biomass_16_to_32 Biomass_32_to_64 Biomass_64_to_128 Biomass_128_to_256 Biomass_256_to_512 Biomass_512_to_1024 Biomass_1024_to_2048     != =~ <= >= = < >     != =~ <= >= = < > Cycle Cast depth longitude latitude Date Abundance_025_to_05 Abundance_05_to_1 Abundance_1_to_2 Abundance_2_to_4 Abundance_4_to_8 Abundance_8_to_16 Abundance_16_to_32 Abundance_32_to_64 Abundance_64_to_128 Abundance_128_to_256 Abundance_256_to_512 Abundance_512_to_1024 Abundance_1024_to_2048 Biomass_025_to_05 Biomass_05_to_1 Biomass_1_to_2 Biomass_2_to_4 Biomass_4_to_8 Biomass_8_to_16 Biomass_16_to_32 Biomass_32_to_64 Biomass_64_to_128 Biomass_128_to_256 Biomass_256_to_512 Biomass_512_to_1024 Biomass_1024_to_2048     != =~ <= >= = < >     != =~ <= >= = < > Cycle Cast depth longitude latitude Date Abundance_025_to_05 Abundance_05_to_1 Abundance_1_to_2 Abundance_2_to_4 Abundance_4_to_8 Abundance_8_to_16 Abundance_16_to_32 Abundance_32_to_64 Abundance_64_to_128 Abundance_128_to_256 Abundance_256_to_512 Abundance_512_to_1024 Abundance_1024_to_2048 Biomass_025_to_05 Biomass_05_to_1 Biomass_1_to_2 Biomass_2_to_4 Biomass_4_to_8 Biomass_8_to_16 Biomass_16_to_32 Biomass_32_to_64 Biomass_64_to_128 Biomass_128_to_256 Biomass_256_to_512 Biomass_512_to_1024 Biomass_1024_to_2048     != =~ <= >= = < >     != =~ <= >= = < > Cycle Cast depth longitude latitude Date Abundance_025_to_05 Abundance_05_to_1 Abundance_1_to_2 Abundance_2_to_4 Abundance_4_to_8 Abundance_8_to_16 Abundance_16_to_32 Abundance_32_to_64 Abundance_64_to_128 Abundance_128_to_256 Abundance_256_to_512 Abundance_512_to_1024 Abundance_1024_to_2048 Biomass_025_to_05 Biomass_05_to_1 Biomass_1_to_2 Biomass_2_to_4 Biomass_4_to_8 Biomass_8_to_16 Biomass_16_to_32 Biomass_32_to_64 Biomass_64_to_128 Biomass_128_to_256 Biomass_256_to_512 Biomass_512_to_1024 Biomass_1024_to_2048     != =~ <= >= = < >     != =~ <= >= = < > Cycle Cast depth longitude latitude Date Abundance_025_to_05 Abundance_05_to_1 Abundance_1_to_2 Abundance_2_to_4 Abundance_4_to_8 Abundance_8_to_16 Abundance_16_to_32 Abundance_32_to_64 Abundance_64_to_128 Abundance_128_to_256 Abundance_256_to_512 Abundance_512_to_1024 Abundance_1024_to_2048 Biomass_025_to_05 Biomass_05_to_1 Biomass_1_to_2 Biomass_2_to_4 Biomass_4_to_8 Biomass_8_to_16 Biomass_16_to_32 Biomass_32_to_64 Biomass_64_to_128 Biomass_128_to_256 Biomass_256_to_512 Biomass_512_to_1024 Biomass_1024_to_2048     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Cycle Cast depth longitude latitude Date Abundance_025_to_05 Abundance_05_to_1 Abundance_1_to_2 Abundance_2_to_4 Abundance_4_to_8 Abundance_8_to_16 Abundance_16_to_32 Abundance_32_to_64 Abundance_64_to_128 Abundance_128_to_256 Abundance_256_to_512 Abundance_512_to_1024 Abundance_1024_to_2048 Biomass_025_to_05 Biomass_05_to_1 Biomass_1_to_2 Biomass_2_to_4 Biomass_4_to_8 Biomass_8_to_16 Biomass_16_to_32 Biomass_32_to_64 Biomass_64_to_128 Biomass_128_to_256 Biomass_256_to_512 Biomass_512_to_1024 Biomass_1024_to_2048 Cycle Cast depth longitude latitude Date Abundance_025_to_05 Abundance_05_to_1 Abundance_1_to_2 Abundance_2_to_4 Abundance_4_to_8 Abundance_8_to_16 Abundance_16_to_32 Abundance_32_to_64 Abundance_64_to_128 Abundance_128_to_256 Abundance_256_to_512 Abundance_512_to_1024 Abundance_1024_to_2048 Biomass_025_to_05 Biomass_05_to_1 Biomass_1_to_2 Biomass_2_to_4 Biomass_4_to_8 Biomass_8_to_16 Biomass_16_to_32 Biomass_32_to_64 Biomass_64_to_128 Biomass_128_to_256 Biomass_256_to_512 Biomass_512_to_1024 Biomass_1024_to_2048 Cycle Cast depth longitude latitude Date Abundance_025_to_05 Abundance_05_to_1 Abundance_1_to_2 Abundance_2_to_4 Abundance_4_to_8 Abundance_8_to_16 Abundance_16_to_32 Abundance_32_to_64 Abundance_64_to_128 Abundance_128_to_256 Abundance_256_to_512 Abundance_512_to_1024 Abundance_1024_to_2048 Biomass_025_to_05 Biomass_05_to_1 Biomass_1_to_2 Biomass_2_to_4 Biomass_4_to_8 Biomass_8_to_16 Biomass_16_to_32 Biomass_32_to_64 Biomass_64_to_128 Biomass_128_to_256 Biomass_256_to_512 Biomass_512_to_1024 Biomass_1024_to_2048 Cycle Cast depth longitude latitude Date Abundance_025_to_05 Abundance_05_to_1 Abundance_1_to_2 Abundance_2_to_4 Abundance_4_to_8 Abundance_8_to_16 Abundance_16_to_32 Abundance_32_to_64 Abundance_64_to_128 Abundance_128_to_256 Abundance_256_to_512 Abundance_512_to_1024 Abundance_1024_to_2048 Biomass_025_to_05 Biomass_05_to_1 Biomass_1_to_2 Biomass_2_to_4 Biomass_4_to_8 Biomass_8_to_16 Biomass_16_to_32 Biomass_32_to_64 Biomass_64_to_128 Biomass_128_to_256 Biomass_256_to_512 Biomass_512_to_1024 Biomass_1024_to_2048 ")   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 Draw land mask:  under over outline off 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 )

Click on the map to specify a new center point. Zoom:

 

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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 {
  Cycle {
    String long_name "Cycle";
    String units "unitless";
  }
  Cast {
    Int32 actual_range 9103, 9167;
    String long_name "Cast";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Int32 actual_range 5, 100;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 174.0953, 180.1157;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -45.55567, -42.66217;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  Abundance_025_to_05 {
    String long_name "Abundance_025_to_05";
    String units "cells per milliliter (cells/mL)";
  }
  Abundance_05_to_1 {
    String long_name "Abundance_05_to_1";
    String units "cells per milliliter (cells/mL)";
  }
  Abundance_1_to_2 {
    String long_name "Abundance_1_to_2";
    String units "cells per milliliter (cells/mL)";
  }
  Abundance_2_to_4 {
    Float32 actual_range 22.34, 1022.96;
    String long_name "Abundance_2_to_4";
    String units "cells per milliliter (cells/mL)";
  }
  Abundance_4_to_8 {
    Float32 actual_range 42.16, 1250.37;
    String long_name "Abundance_4_to_8";
    String units "cells per milliliter (cells/mL)";
  }
  Abundance_8_to_16 {
    Float32 actual_range 24.1, 551.04;
    String long_name "Abundance_8_to_16";
    String units "cells per milliliter (cells/mL)";
  }
  Abundance_16_to_32 {
    Float32 actual_range 1.64, 46.04;
    String long_name "Abundance_16_to_32";
    String units "cells per milliliter (cells/mL)";
  }
  Abundance_32_to_64 {
    Float32 actual_range 0.12, 6.22;
    String long_name "Abundance_32_to_64";
    String units "cells per milliliter (cells/mL)";
  }
  Abundance_64_to_128 {
    Float32 actual_range 0.12, 0.35;
    String long_name "Abundance_64_to_128";
    String units "cells per milliliter (cells/mL)";
  }
  Abundance_128_to_256 {
    Float32 actual_range 0.12, 0.12;
    String long_name "Abundance_128_to_256";
    String units "cells per milliliter (cells/mL)";
  }
  Abundance_256_to_512 {
    String long_name "Abundance_256_to_512";
    String units "cells per milliliter (cells/mL)";
  }
  Abundance_512_to_1024 {
    String long_name "Abundance_512_to_1024";
    String units "cells per milliliter (cells/mL)";
  }
  Abundance_1024_to_2048 {
    String long_name "Abundance_1024_to_2048";
    String units "cells per milliliter (cells/mL)";
  }
  Biomass_025_to_05 {
    String long_name "Biomass_025_to_05";
    String units "picogram of carbon per mL (pg C/mL)";
  }
  Biomass_05_to_1 {
    String long_name "Biomass_05_to_1";
    String units "picogram of carbon per mL (pg C/mL)";
  }
  Biomass_1_to_2 {
    String long_name "Biomass_1_to_2";
    String units "picogram of carbon per mL (pg C/mL)";
  }
  Biomass_2_to_4 {
    Float32 actual_range 14.86, 2869.57;
    String long_name "Biomass_2_to_4";
    String units "picogram of carbon per mL (pg C/mL)";
  }
  Biomass_4_to_8 {
    Float32 actual_range 114.56, 21786.67;
    String long_name "Biomass_4_to_8";
    String units "picogram of carbon per mL (pg C/mL)";
  }
  Biomass_8_to_16 {
    Float32 actual_range 1294.89, 40060.01;
    String long_name "Biomass_8_to_16";
    String units "picogram of carbon per mL (pg C/mL)";
  }
  Biomass_16_to_32 {
    Float32 actual_range 1179.14, 27680.33;
    String long_name "Biomass_16_to_32";
    String units "picogram of carbon per mL (pg C/mL)";
  }
  Biomass_32_to_64 {
    Float32 actual_range 805.93, 25040.35;
    String long_name "Biomass_32_to_64";
    String units "picogram of carbon per mL (pg C/mL)";
  }
  Biomass_64_to_128 {
    Float32 actual_range 1843.37, 9568.5;
    String long_name "Biomass_64_to_128";
    String units "picogram of carbon per mL (pg C/mL)";
  }
  Biomass_128_to_256 {
    Float32 actual_range 17091.76, 17091.76;
    String long_name "Biomass_128_to_256";
    String units "picogram of carbon per mL (pg C/mL)";
  }
  Biomass_256_to_512 {
    String long_name "Biomass_256_to_512";
    String units "picogram of carbon per mL (pg C/mL)";
  }
  Biomass_512_to_1024 {
    String long_name "Biomass_512_to_1024";
    String units "picogram of carbon per mL (pg C/mL)";
  }
  Biomass_1024_to_2048 {
    String long_name "Biomass_1024_to_2048";
    String units "picogram of carbon per mL (pg C/mL)";
  }
 }
  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.905170.1";
    Float64 Easternmost_Easting 180.1157;
    Float64 geospatial_lat_max -42.66217;
    Float64 geospatial_lat_min -45.55567;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 180.1157;
    Float64 geospatial_lon_min 174.0953;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 100.0;
    Float64 geospatial_vertical_min 5.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2026-02-13T02:49:28Z (local files)
2026-02-13T02:49:28Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_905170_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/905170";
    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 -42.66217;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -45.55567;
    String summary "The structure of the phytoplankton community is crucially important to pelagic food webs,  biogeochemical processes. and carbon (C) cycle. This study quantifies C-based size spectra, phytoplankton community composition across subtropical and subantarctic waters east of New Zealand. Depth-resolved water column samples were analyzed using epifluorescence microscopy at 15 different sampling locations. Samples were analyzed for biomass and abundance of microplankton (>20 µm), nanoplankton (2-20 µm) and picoplankton (<2 µm) and diatoms. Our results suggest that the subtropical waters are dominated by nanoplankton (35.2 ± 4.6 µg C/L). Offshore subantarctic waters were dominated by picoplankton (24.7 ± 2.1 µg C/L) while microplankton dominated in coastal subantarctic waters (21.7 ± 2.2 µg C/L). Overall, our study helps provide important insights into the structure of phytoplankton communities, their biomass distribution and their contribution to carbon sequestration in the subtropical and subantarctic waters east of New Zealand, highlighting the dominance of nanoplankton in subtropical waters and picoplankton in offshore subantarctic waters.";
    String title "[Epifluorescence Microscopy Reduced] - Reduced Epifluorescence Microscopy Water Column Samples from R/V Tangaroa TAN1810 in the Chatham Rise (Subtropical and Sub-Antarctic waters off of New Zealand) from October to November 2018 (Salp Food Web Ecology project) (Collaborative Research: Quantifying trophic roles and food web ecology of salp blooms of the Chatham Rise)";
    Float64 Westernmost_Easting 174.0953;
  }
}

 

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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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