ERDDAP > tabledap > Make A Graph

Dataset Title:	[Shell dissolution data for Mytilus californianus] - Shell dissolution data for Mytilus californianus from March to July 2020 (OA decoupling project) (Invertebrate calcification and behavior in seawater of decoupled carbonate chemistry)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_925664_v1)
Information:	Summary | License | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers X Axis:  AphiaID duration salinity temperature shell_mass TA ph hco3 co3 omega co2 dic incubation_water_mass delta_ta diss_rate Y Axis:  AphiaID duration salinity temperature shell_mass TA ph hco3 co3 omega co2 dic incubation_water_mass delta_ta diss_rate Color:  AphiaID duration salinity temperature shell_mass TA ph hco3 co3 omega co2 dic incubation_water_mass delta_ta diss_rate   Constraints Optional Constraint #1 Optional Constraint #2 species AphiaID LSID module datetime_local start_time_local ISO_Start_DateTime_UTC duration salinity temperature shell_mass TA ph hco3 co3 omega co2 pco2 dic incubation_water_mass delta_ta diss_rate     != =~ <= >= = < >     != =~ <= >= = < > species AphiaID LSID module datetime_local start_time_local ISO_Start_DateTime_UTC duration salinity temperature shell_mass TA ph hco3 co3 omega co2 pco2 dic incubation_water_mass delta_ta diss_rate     != =~ <= >= = < >     != =~ <= >= = < > species AphiaID LSID module datetime_local start_time_local ISO_Start_DateTime_UTC duration salinity temperature shell_mass TA ph hco3 co3 omega co2 pco2 dic incubation_water_mass delta_ta diss_rate     != =~ <= >= = < >     != =~ <= >= = < > species AphiaID LSID module datetime_local start_time_local ISO_Start_DateTime_UTC duration salinity temperature shell_mass TA ph hco3 co3 omega co2 pco2 dic incubation_water_mass delta_ta diss_rate     != =~ <= >= = < >     != =~ <= >= = < > species AphiaID LSID module datetime_local start_time_local ISO_Start_DateTime_UTC duration salinity temperature shell_mass TA ph hco3 co3 omega co2 pco2 dic incubation_water_mass delta_ta diss_rate     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" species AphiaID LSID module datetime_local start_time_local ISO_Start_DateTime_UTC duration salinity temperature shell_mass TA ph hco3 co3 omega co2 pco2 dic incubation_water_mass delta_ta diss_rate species AphiaID LSID module datetime_local start_time_local ISO_Start_DateTime_UTC duration salinity temperature shell_mass TA ph hco3 co3 omega co2 pco2 dic incubation_water_mass delta_ta diss_rate species AphiaID LSID module datetime_local start_time_local ISO_Start_DateTime_UTC duration salinity temperature shell_mass TA ph hco3 co3 omega co2 pco2 dic incubation_water_mass delta_ta diss_rate species AphiaID LSID module datetime_local start_time_local ISO_Start_DateTime_UTC duration salinity temperature shell_mass TA ph hco3 co3 omega co2 pco2 dic incubation_water_mass delta_ta diss_rate ")   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 )

 

---

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.
   

---

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  species {
    String long_name "Species";
    String units "unitless";
  }
  AphiaID {
    Int32 actual_range 367837, 367837;
    String long_name "Aphiaid";
    String units "unitless";
  }
  LSID {
    String long_name "Lsid";
    String units "unitless";
  }
  module {
    String long_name "Module";
    String units "unitless";
  }
  datetime_local {
    String long_name "Datetime_local";
    String units "unitless";
  }
  start_time_local {
    String long_name "Start_time_local";
    String units "unitless";
  }
  ISO_Start_DateTime_UTC {
    String long_name "Iso_start_datetime_utc";
    String units "unitless";
  }
  duration {
    Float32 actual_range 18.88, 116.38;
    String long_name "Duration";
    String units "hours";
  }
  salinity {
    Float32 actual_range 26.5, 34.1;
    String long_name "Salinity";
    String units "PSU";
  }
  temperature {
    Float32 actual_range 13.15, 13.5;
    String long_name "Temperature";
    String units "degrees Celcius";
  }
  shell_mass {
    Float32 actual_range 6.84, 33.82;
    String long_name "Shell_mass";
    String units "grams (g)";
  }
  TA {
    Float32 actual_range 298.02, 4644.9;
    String long_name "Ta";
    String units "umol kg-1";
  }
  ph {
    Float32 actual_range 6.49, 8.76;
    String long_name "Ph";
    String units "unitless";
  }
  hco3 {
    Float32 actual_range 295.09, 4511.9;
    String long_name "Hco3";
    String units "umol kg-1";
  }
  co3 {
    Float32 actual_range 0.65, 525.04;
    String long_name "Co3";
    String units "umol kg-1";
  }
  omega {
    Float32 actual_range 0.01013474, 8.053805;
    String long_name "Omega";
    String units "unitless";
  }
  co2 {
    Float32 actual_range 2.21, 334.62;
    String long_name "Co2";
    String units "umol kg-1";
  }
  pco2 {
    String long_name "Pco2";
    String units "uatm";
  }
  dic {
    Float32 actual_range 0.0, 0.0;
    String long_name "Dic";
    String units "umol kg-1";
  }
  incubation_water_mass {
    Float32 actual_range 0.52, 0.56;
    String long_name "Incubation_water_mass";
    String units "kilograms (kg)";
  }
  delta_ta {
    Float32 actual_range -64.23, 476.04;
    String long_name "Delta_ta";
    String units "umol kg-1";
  }
  diss_rate {
    Float32 actual_range -0.18, 0.03;
    String long_name "Diss_rate";
    String units "umol hr-1 g-1";
  }
 }
  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.925664.1";
    String history 
"2024-11-13T22:11:08Z (local files)
2024-11-13T22:11:08Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_925664_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/925664";
    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 "This dataset supports the main incubation data. These data document shell dissolution rates for Mytilus californianus which were used to convert net calcification rates of mussels into gross calcification rates.";
    String title "[Shell dissolution data for Mytilus californianus] - Shell dissolution data for Mytilus californianus from March to July 2020 (OA decoupling project) (Invertebrate calcification and behavior in seawater of decoupled carbonate chemistry)";
  }
}

 

---

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.

 

---

ERDDAP, Version 2.22
Disclaimers | Privacy Policy | Contact