ERDDAP > tabledap > Make A Graph

Dataset Title:	[Microbial Fluid Cell Counts] - Microbial fluid cell count data collected on Falkor (too), cruise Fkt231202 with ROV fluid sampler in the Central Eastern Pacific offshore Costa Rica in Dec 2023 (Octopus Odyssey)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_964619_v1)
Range:	longitude = -87.27975 to -86.94357°E, latitude = 8.621694 to 9.120658°N, depth = 2024.21 to 3015.49m, time = 2023-12-04T23:13:39Z to 2023-12-12T17:36:59Z
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks vectors X Axis:  Sample_Number Dive latitude longitude depth Cells_per_mL standard_deviation time Y Axis:  Sample_Number Dive latitude longitude depth Cells_per_mL standard_deviation time Color:  Sample_Number Dive latitude longitude depth Cells_per_mL standard_deviation time   Constraints Optional Constraint #1 Optional Constraint #2 Cruise_Number Sample_Number Sample_Type ROV_Storage Sample_code Description Dive Dive_Site Time_UTC Date latitude longitude depth Cells_per_mL standard_deviation time     != =~ <= >= = < >     != =~ <= >= = < > Cruise_Number Sample_Number Sample_Type ROV_Storage Sample_code Description Dive Dive_Site Time_UTC Date latitude longitude depth Cells_per_mL standard_deviation time     != =~ <= >= = < >     != =~ <= >= = < > Cruise_Number Sample_Number Sample_Type ROV_Storage Sample_code Description Dive Dive_Site Time_UTC Date latitude longitude depth Cells_per_mL standard_deviation time     != =~ <= >= = < >     != =~ <= >= = < > Cruise_Number Sample_Number Sample_Type ROV_Storage Sample_code Description Dive Dive_Site Time_UTC Date latitude longitude depth Cells_per_mL standard_deviation time     != =~ <= >= = < >     != =~ <= >= = < > Cruise_Number Sample_Number Sample_Type ROV_Storage Sample_code Description Dive Dive_Site Time_UTC Date latitude longitude depth Cells_per_mL standard_deviation time     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Cruise_Number Sample_Number Sample_Type ROV_Storage Sample_code Description Dive Dive_Site Time_UTC Date latitude longitude depth Cells_per_mL standard_deviation time Cruise_Number Sample_Number Sample_Type ROV_Storage Sample_code Description Dive Dive_Site Time_UTC Date latitude longitude depth Cells_per_mL standard_deviation time Cruise_Number Sample_Number Sample_Type ROV_Storage Sample_code Description Dive Dive_Site Time_UTC Date latitude longitude depth Cells_per_mL standard_deviation time Cruise_Number Sample_Number Sample_Type ROV_Storage Sample_code Description Dive Dive_Site Time_UTC Date latitude longitude depth Cells_per_mL standard_deviation time ")   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:  Time range:  1 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 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 second(s) minute(s) hour(s) day(s) month(s) year(s)

 

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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 {
  Cruise_Number {
    String long_name "Cruise_number";
    String units "unitless";
  }
  Sample_Number {
    Int32 actual_range 11, 257;
    String long_name "Sample_number";
    String units "unitless";
  }
  Sample_Type {
    String long_name "Sample_type";
    String units "unitless";
  }
  ROV_Storage {
    String long_name "Rov_storage";
    String units "unitless";
  }
  Sample_code {
    String long_name "Sample_code";
    String units "unitless";
  }
  Description {
    String long_name "Description";
    String units "unitless";
  }
  Dive {
    Int32 actual_range 619, 629;
    String long_name "Dive";
    String units "unitless";
  }
  Dive_Site {
    String long_name "Dive_site";
    String units "unitless";
  }
  Time_UTC {
    String long_name "Time_utc";
    String units "unitless";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 8.621694, 9.120658;
    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 -87.27975, -86.94357;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 2024.21, 3015.49;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Cells_per_mL {
    Int32 actual_range 1917, 77000;
    String long_name "Cells_per_ml";
    String units "cells/mL";
  }
  standard_deviation {
    Int32 actual_range 702, 12000;
    String long_name "Standard_deviation";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.701731619e+9, 1.702402619e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Iso_datetime_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
 }
  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.964619.1";
    Float64 Easternmost_Easting -86.94357;
    Float64 geospatial_lat_max 9.120658;
    Float64 geospatial_lat_min 8.621694;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -86.94357;
    Float64 geospatial_lon_min -87.27975;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 3015.49;
    Float64 geospatial_vertical_min 2024.21;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2025-08-15T22:36:00Z (local files)
2025-08-15T22:36:00Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_964619_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/964619";
    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 9.120658;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 8.621694;
    String summary "These data are microscopic cell counts of microbes in venting fluids and background seawater samples collected during Octopus Odyssey (too) expedition on Falkor (too), cruise Fkt231202, in the Central Eastern Pacific from December 4th to December 12th, 2023. Instrument used to collect the sampler was a SUPR (Suspended Underwater Particulate Rosette) sampler modified for ROV SuBastian. Cells were visualized using SYBR staining. Samples were collected by Julie Huber.";
    String time_coverage_end "2023-12-12T17:36:59Z";
    String time_coverage_start "2023-12-04T23:13:39Z";
    String title "[Microbial Fluid Cell Counts] - Microbial fluid cell count data collected on Falkor (too), cruise Fkt231202 with ROV fluid sampler in the Central Eastern Pacific offshore Costa Rica in Dec 2023 (Octopus Odyssey)";
    Float64 Westernmost_Easting -87.27975;
  }
}

 

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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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