ERDDAP > tabledap > Make A Graph

Dataset Title:	Pressure sensor data Arade Estuary (arade02)
Institution:	+ATLANTIC_CoLAB   (Dataset ID: RS_sensor_arade_02)
Range:	depth = -0.062 to 3.643m, time = 2024-07-23T13:30:00Z to 2024-11-18T09:00:00Z
Information:	Summary | License | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks X Axis:  time AP BP TEMP WLEV depth Y Axis:  time AP BP TEMP WLEV depth Color:  time AP BP TEMP WLEV depth   Constraints Optional Constraint #1 Optional Constraint #2 time AP BP TEMP WLEV depth     != =~ <= >= = < >     != =~ <= >= = < > time AP BP TEMP WLEV depth     != =~ <= >= = < >     != =~ <= >= = < > time AP BP TEMP WLEV depth     != =~ <= >= = < >     != =~ <= >= = < > time AP BP TEMP WLEV depth     != =~ <= >= = < >     != =~ <= >= = < > time AP BP TEMP WLEV depth     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" time AP BP TEMP WLEV depth time AP BP TEMP WLEV depth time AP BP TEMP WLEV depth time AP BP TEMP WLEV depth ")   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 EK80  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 .parquet .parquetWMeta .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 )

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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.7217414e+9, 1.7319204e+9;
    String axis "T";
    String calendar "gregorian";
    Float64 colorBarMaximum 657000.0;
    Float64 colorBarMinimum 653000.0;
    String ioos_category "Time";
    String long_name "Time of measurement";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
    Float64 valid_max 656409.0;
    Float64 valid_min 653581.5;
  }
  AP {
    Float64 _FillValue -32768.0;
    Float64 actual_range 100418.0, 137061.0;
    Float64 colorBarMaximum 105000.0;
    Float64 colorBarMinimum 95000.0;
    String ioos_category "Pressure";
    String long_name "Absolute Pressure";
    String SDN "SDN:P01::PRESPR01";
    String standard_name "air_pressure";
    String step_type "instant";
    String unit_long "Pascal";
    String units "Pa";
  }
  BP {
    Float64 _FillValue -32768.0;
    Float64 actual_range 100080.0, 102650.0;
    Float64 colorBarMaximum 105000.0;
    Float64 colorBarMinimum 95000.0;
    String ioos_category "Pressure";
    String long_name "Barometric Pressure";
    String SDN "SDN:P01::CAPASS01";
    String standard_name "air_pressure";
    String step_type "instant";
    String unit_long "Pascal";
    String units "Pa";
  }
  TEMP {
    Float64 _FillValue -32768.0;
    Float64 actual_range 15.187, 29.252;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String ioos_category "Temperature";
    String long_name "Water Temperature";
    String SDN "SDN:P01::TEMPPR01";
    String standard_name "water_temperature";
    String step_type "instant";
    String unit_long "Degrees Celsius";
    String units "degree_C";
  }
  WLEV {
    Float64 _FillValue -32768.0;
    Float64 actual_range -1.358, 2.347;
    String ioos_category "Sea Level";
    String long_name "Observed Instantaneous Water Level";
    String refefence "MSL";
    String SDN "SDN:P01::AHRVGRS1";
    String standard_name "instantaneous_water_level";
    String step_type "instant";
    String unit_long "meters";
    String units "m";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue -32768.0;
    Float64 actual_range -0.062, 3.643;
    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 SDN "SDN:P01:MBANZZZZ";
    String standard_name "depth";
    String step_type "instant";
    String unit_long "meters";
    String units "m";
  }
 }
  NC_GLOBAL {
    String area "Arade Estuary, Faro, Portugal";
    String cdm_data_type "Other";
    String citation "These data were collected and made freely available by Centre for Marine and Environmental Research (CIMA UAlg), Portugal";
    String contact "hidrotec@ualg.pt";
    String Conventions "CF-1.10, COARDS, ACDD-1.3";
    String creator_email "hidrotec@ualg.pt";
    String creator_name "Centre for Marine and Environmental Research (CIMA UAlg)";
    String creator_type "institution";
    String data_assembly_center "+ATLANTIC CoLAB, Portugal";
    String data_type "time-series data";
    String distribution_statement "These data are public and free of charge. User assumes all risk for use of data. User must display citation in any publication or product using data. User must contact PI prior to any commercial use of data.";
    String family_label "hydrometric";
    String format_version "1.2";
    Float64 geospatial_vertical_max 3.643;
    Float64 geospatial_vertical_min -0.062;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"automatic sensor
2026-04-19T14:38:52Z (local files)
2026-04-19T14:38:52Z http://erddap.atlanticsense.com/tabledap/RS_sensor_arade_02.das";
    String infoUrl "???";
    String institution "+ATLANTIC_CoLAB";
    String keywords "+atlantic, absolute, air, air_pressure, arade, arade02, atmosphere, atmospheric, barometric, colab, data, depth, earth, Earth Science > Atmosphere > Atmospheric Pressure > Atmospheric Pressure Measurements, Earth Science > Atmosphere > Atmospheric Pressure > Sea Level Pressure, Earth Science > Atmosphere > Atmospheric Pressure > Static Pressure, estuary, instantaneous, instantaneous_water_level, level, measurement, measurements, observed, pressure, science, sea, sea level, seawater, sensor, static, TEMP, temperature, time, water, water_temperature, WLEV";
    String keywords_vocabulary "GCMD Science Keywords";
    Float64 last_latitude_observation 37.1712481;
    Float64 last_longitude_observation -8.48779918;
    String license "These data are public and free of charge. User assumes all risk for use of data. User must display citation in any publication or product using data. User must contact PI prior to any commercial use of data.";
    String netcdf_version "4.4.1.1";
    String notes "Pressure data compensated with barometric pressure from the Lagos tide gauge. Water level is referred to MSL.";
    String pi_name "CIMA UAlg";
    String producer "Centre for Marine and Environmental Research (CIMA UAlg)";
    String sensor "ONSET sensor S/N 21922467";
    String site_code "physicoChemical";
    String source "automatic sensor";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Pressure sensor data Arade Estuary. arade02. +ATLANTIC_CoLAB data from a local source.";
    String time_coverage_end "2024-11-18T09:00:00Z";
    String time_coverage_start "2024-07-23T13:30:00Z";
    String title "Pressure sensor data Arade Estuary (arade02)";
  }
}

 

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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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