ERDDAP > tabledap > Make A Graph

Dataset Title:	Zooplankton timeseries Marseille bay (CSV file)
Institution:	MIO UMR 7294 CNRS   (Dataset ID: mio_carlotti_zooplankton_26e9_1480_c5af)
Range:	longitude = 5.29167 to 5.29167°E, latitude = 43.2417 to 43.2417°N, depth = 60.0 to 60.0m, time = 2005-02-10T00:00:00Z to 2020-12-16T00:00:00Z
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Subset | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks vectors X Axis:  time depth latitude longitude biomass_fraction_gt_2000_um biomass_fraction_1000_2000_um biomass_fraction_500_1000_um biomass_fraction_300_500_um biomass_fraction_200_300_um biomass_fraction_80_200_um Total_biomass Bivalvia Chaetognatha Calanoida Oithonoida Ergasilida Harpacticoida Fish_Eggs Nauplii Salpida Crustacea Pteropoda Appendicularia Cnidaria Others Total_Abundance Y Axis:  time depth latitude longitude biomass_fraction_gt_2000_um biomass_fraction_1000_2000_um biomass_fraction_500_1000_um biomass_fraction_300_500_um biomass_fraction_200_300_um biomass_fraction_80_200_um Total_biomass Bivalvia Chaetognatha Calanoida Oithonoida Ergasilida Harpacticoida Fish_Eggs Nauplii Salpida Crustacea Pteropoda Appendicularia Cnidaria Others Total_Abundance Color:  time depth latitude longitude biomass_fraction_gt_2000_um biomass_fraction_1000_2000_um biomass_fraction_500_1000_um biomass_fraction_300_500_um biomass_fraction_200_300_um biomass_fraction_80_200_um Total_biomass Bivalvia Chaetognatha Calanoida Oithonoida Ergasilida Harpacticoida Fish_Eggs Nauplii Salpida Crustacea Pteropoda Appendicularia Cnidaria Others Total_Abundance   Constraints Optional Constraint #1 Optional Constraint #2 time depth latitude longitude biomass_fraction_gt_2000_um biomass_fraction_1000_2000_um biomass_fraction_500_1000_um biomass_fraction_300_500_um biomass_fraction_200_300_um biomass_fraction_80_200_um Total_biomass Bivalvia Chaetognatha Calanoida Oithonoida Ergasilida Harpacticoida Fish_Eggs Nauplii Salpida Crustacea Pteropoda Appendicularia Cnidaria Others Total_Abundance     != =~ <= >= = < >     != =~ <= >= = < >     time depth latitude longitude biomass_fraction_gt_2000_um biomass_fraction_1000_2000_um biomass_fraction_500_1000_um biomass_fraction_300_500_um biomass_fraction_200_300_um biomass_fraction_80_200_um Total_biomass Bivalvia Chaetognatha Calanoida Oithonoida Ergasilida Harpacticoida Fish_Eggs Nauplii Salpida Crustacea Pteropoda Appendicularia Cnidaria Others Total_Abundance     != =~ <= >= = < >     != =~ <= >= = < >     time depth latitude longitude biomass_fraction_gt_2000_um biomass_fraction_1000_2000_um biomass_fraction_500_1000_um biomass_fraction_300_500_um biomass_fraction_200_300_um biomass_fraction_80_200_um Total_biomass Bivalvia Chaetognatha Calanoida Oithonoida Ergasilida Harpacticoida Fish_Eggs Nauplii Salpida Crustacea Pteropoda Appendicularia Cnidaria Others Total_Abundance     != =~ <= >= = < >     != =~ <= >= = < >     time depth latitude longitude biomass_fraction_gt_2000_um biomass_fraction_1000_2000_um biomass_fraction_500_1000_um biomass_fraction_300_500_um biomass_fraction_200_300_um biomass_fraction_80_200_um Total_biomass Bivalvia Chaetognatha Calanoida Oithonoida Ergasilida Harpacticoida Fish_Eggs Nauplii Salpida Crustacea Pteropoda Appendicularia Cnidaria Others Total_Abundance     != =~ <= >= = < >     != =~ <= >= = < >     time depth latitude longitude biomass_fraction_gt_2000_um biomass_fraction_1000_2000_um biomass_fraction_500_1000_um biomass_fraction_300_500_um biomass_fraction_200_300_um biomass_fraction_80_200_um Total_biomass Bivalvia Chaetognatha Calanoida Oithonoida Ergasilida Harpacticoida Fish_Eggs Nauplii Salpida Crustacea Pteropoda Appendicularia Cnidaria Others Total_Abundance     != =~ <= >= = < >     != =~ <= >= = < >       Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" time depth latitude longitude biomass_fraction_gt_2000_um biomass_fraction_1000_2000_um biomass_fraction_500_1000_um biomass_fraction_300_500_um biomass_fraction_200_300_um biomass_fraction_80_200_um Total_biomass Bivalvia Chaetognatha Calanoida Oithonoida Ergasilida Harpacticoida Fish_Eggs Nauplii Salpida Crustacea Pteropoda Appendicularia Cnidaria Others Total_Abundance time depth latitude longitude biomass_fraction_gt_2000_um biomass_fraction_1000_2000_um biomass_fraction_500_1000_um biomass_fraction_300_500_um biomass_fraction_200_300_um biomass_fraction_80_200_um Total_biomass Bivalvia Chaetognatha Calanoida Oithonoida Ergasilida Harpacticoida Fish_Eggs Nauplii Salpida Crustacea Pteropoda Appendicularia Cnidaria Others Total_Abundance time depth latitude longitude biomass_fraction_gt_2000_um biomass_fraction_1000_2000_um biomass_fraction_500_1000_um biomass_fraction_300_500_um biomass_fraction_200_300_um biomass_fraction_80_200_um Total_biomass Bivalvia Chaetognatha Calanoida Oithonoida Ergasilida Harpacticoida Fish_Eggs Nauplii Salpida Crustacea Pteropoda Appendicularia Cnidaria Others Total_Abundance time depth latitude longitude biomass_fraction_gt_2000_um biomass_fraction_1000_2000_um biomass_fraction_500_1000_um biomass_fraction_300_500_um biomass_fraction_200_300_um biomass_fraction_80_200_um Total_biomass Bivalvia Chaetognatha Calanoida Oithonoida Ergasilida Harpacticoida Fish_Eggs Nauplii Salpida Crustacea Pteropoda Appendicularia Cnidaria Others Total_Abundance ")   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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.1079936e+9, 1.6080768e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Datetime";
    String source_name "Datetime";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 60, 60;
    String axis "Z";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 43.2417, 43.2417;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 5.29167, 5.29167;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  biomass_fraction_gt_2000_um {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 63.04;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Unknown";
    String long_name "Biomass Fraction gt 2000 um";
    String units "mg DW.m-3";
  }
  biomass_fraction_1000_2000_um {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 24.57;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Unknown";
    String long_name "Biomass Fraction 1000-2000 Um";
    String units "mg DW.m-3";
  }
  biomass_fraction_500_1000_um {
    Float32 _FillValue NaN;
    Float32 actual_range 0.04, 24.31;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Unknown";
    String long_name "Biomass Fraction 500-1000 um";
    String units "mg DW.m-3";
  }
  biomass_fraction_300_500_um {
    Float32 _FillValue NaN;
    Float32 actual_range 0.08, 14.8;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Unknown";
    String long_name "Biomass Fraction 300-500 µm";
    String units "mg DW.m-3";
  }
  biomass_fraction_200_300_um {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 22.92;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Unknown";
    String long_name "Biomass Fraction 200-300 um";
    String units "mg DW.m-3";
  }
  biomass_fraction_80_200_um {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 5.43;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Unknown";
    String long_name "Biomass Fraction 80-200 um";
    String units "mg DW.m-3";
  }
  Total_biomass {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 74.06;
    String ioos_category "Unknown";
    String long_name "Total Biomass";
    String units "mg DW.m-3";
  }
  Bivalvia {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 140.19;
    String ioos_category "Unknown";
    String long_name "Bivalvia";
    String units "nb ind.m-3";
  }
  Chaetognatha {
    Float32 _FillValue NaN;
    Float32 actual_range 0.14, 105.08;
    String ioos_category "Unknown";
    String long_name "Chaetognatha";
    String units "nb ind.m-3";
  }
  Calanoida {
    Float32 _FillValue NaN;
    Float32 actual_range 59.74, 12955.07;
    String ioos_category "Unknown";
    String long_name "Calanoida";
    String units "nb ind.m-3";
  }
  Oithonoida {
    Float32 _FillValue NaN;
    Float32 actual_range 7.27, 979.79;
    String ioos_category "Unknown";
    String long_name "Oithonoida";
    String units "nb ind.m-3";
  }
  Ergasilida {
    Float32 _FillValue NaN;
    Float32 actual_range 7.98, 554.62;
    String ioos_category "Unknown";
    String long_name "Ergasilida";
    String units "nb ind.m-3";
  }
  Harpacticoida {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 185.36;
    String ioos_category "Unknown";
    String long_name "Harpacticoida";
    String units "nb ind.m-3";
  }
  Fish_Eggs {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 117.77;
    String ioos_category "Biology";
    String long_name "Fish Eggs";
    String units "nb ind.m-3";
  }
  Nauplii {
    Float32 _FillValue NaN;
    Float32 actual_range 3.14, 316.59;
    String ioos_category "Unknown";
    String long_name "Nauplii";
    String units "nb ind.m-3";
  }
  Salpida {
    Float32 _FillValue NaN;
    Float32 actual_range 0.21, 203.03;
    String ioos_category "Unknown";
    String long_name "Salpida";
    String units "nb ind.m-3";
  }
  Crustacea {
    Float32 _FillValue NaN;
    Float32 actual_range 3.56, 1811.7;
    String ioos_category "Unknown";
    String long_name "Crustacea";
    String units "nb ind.m-3";
  }
  Pteropoda {
    Float32 _FillValue NaN;
    Float32 actual_range 0.29, 435.24;
    String ioos_category "Unknown";
    String long_name "Pteropoda";
    String units "nb ind.m-3";
  }
  Appendicularia {
    Float32 _FillValue NaN;
    Float32 actual_range 0.29, 1068.9;
    String ioos_category "Unknown";
    String long_name "Appendicularia";
    String units "nb ind.m-3";
  }
  Cnidaria {
    Float32 _FillValue NaN;
    Float32 actual_range 2.28, 250.36;
    String ioos_category "Unknown";
    String long_name "Cnidaria";
    String units "nb ind.m-3";
  }
  Others {
    Float32 _FillValue NaN;
    Float32 actual_range 5.28, 574.13;
    String ioos_category "Unknown";
    String long_name "Others";
    String units "nb ind.m-3";
  }
  Total_Abundance {
    Float32 _FillValue NaN;
    Float32 actual_range 115.63, 14611.95;
    String ioos_category "Unknown";
    String long_name "Total Abundance";
    String units "nb ind.m-3";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Point";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String creator_name "MIO UMR 7294 CNRS";
    String creator_type "institution";
    String creator_url "https://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/6da3237c-4732-4c71-b7f1-140c7b2dcdaa";
    String defaultGraphQuery "time%2Cbiomass_fraction_500_1000_um%2C&.draw=linesAndMarkers&.marker=6|3&.color=0x000000&.colorBar=|||||&.bgColor=0xffccccff";
    Float64 Easternmost_Easting 5.29167;
    String featureType "Point";
    Float64 geospatial_lat_max 43.2417;
    Float64 geospatial_lat_min 43.2417;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 5.29167;
    Float64 geospatial_lon_min 5.29167;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 60.0;
    Float64 geospatial_vertical_min 60.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-04-27T22:58:29Z (local files)
2024-04-27T22:58:29Z http://erddap.osupytheas.fr/tabledap/mio_carlotti_zooplankton_26e9_1480_c5af.das";
    String infoUrl "https://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/6da3237c-4732-4c71-b7f1-140c7b2dcdaa";
    String institution "MIO UMR 7294 CNRS";
    String keywords "1000-2000, 200-300, 300-500, 500-1000, 80-200, appendicularia, bay, biology, biomass, biomass_fraction_1000_2000_um, biomass_fraction_200_300_um, biomass_fraction_300_500_um, biomass_fraction_500_1000_um, biomass_fraction_80_200_um, biomass_fraction_gt_2000_um, bivalvia, calanoida, chaetognatha, cnidaria, cnrs, crustacea, data, datetime, depth, eggs, ergasilida, fish, Fish_Eggs, fraction, harpacticoida, latitude, longitude, marseille, mio, nauplii, oithonoida, others, pteropoda, salpida, time, timeseries, total, Total_biomass, totale, umr, zooplankton";
    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 43.2417;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 43.2417;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "depth, latitude, longitude";
    String summary "describing the dynamics of the mesozooplankton community both in term of biomass and taxonomic groups. This dataset contains the planktonic organisms collected by a WP2 net (Diameter 55 cm; Length : 3 m; Mesh size: 200??m mesh) and therefore covering zooplanktonic organisms from 200??m to ~2cm.";
    String time_coverage_end "2020-12-16T00:00:00Z";
    String time_coverage_start "2005-02-10T00:00:00Z";
    String title "Zooplankton timeseries Marseille bay (CSV file)";
    Float64 Westernmost_Easting 5.29167;
  }
}

 

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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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