ERDDAP > tabledap > Make A Graph

Dataset Title:	RV Sikuliaq : Flowmeter Krohne_1464 : Water Flow Speed : 1 minute binned
Institution:	UAF   (Dataset ID: waterflowspeed_mpers_flowme021464_060sbin)
Information:	Summary | License | Metadata | Background | Data Access Form

 

Graph Type:  lines linesAndMarkers markers sticks X Axis:  time spot_time spot_value mean stddev minimum maximum median num_values Y Axis:  time spot_time spot_value mean stddev minimum maximum median num_values Color:  time spot_time spot_value mean stddev minimum maximum median num_values   Constraints Optional Constraint #1 Optional Constraint #2 time spot_time spot_value mean stddev minimum maximum median num_values     != =~ <= >= = < >     != =~ <= >= = < > time spot_time spot_value mean stddev minimum maximum median num_values     != =~ <= >= = < >     != =~ <= >= = < > time spot_time spot_value mean stddev minimum maximum median num_values     != =~ <= >= = < >     != =~ <= >= = < > time spot_time spot_value mean stddev minimum maximum median num_values     != =~ <= >= = < >     != =~ <= >= = < > time spot_time spot_value mean stddev minimum maximum median num_values     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" time spot_time spot_value mean stddev minimum maximum median num_values time spot_time spot_value mean stddev minimum maximum median num_values time spot_time spot_value mean stddev minimum maximum median num_values time spot_time spot_value mean stddev minimum maximum median num_values ")   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 )

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";
    String axis "T";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  spot_time {
    String ioos_category "Time";
    String long_name "Spot Time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  spot_value {
    String ioos_category "Statistics";
    String long_name "Water Flow Speed Spot_Value";
    String short_name "water_flow_speed_spot_value";
    String special_notes "Binning type: linear";
    String standard_name "x_spot_value";
    String units "m/s";
  }
  mean {
    String ioos_category "Statistics";
    String long_name "Water Flow Speed Mean";
    String short_name "water_flow_speed_mean";
    String special_notes "Binning type: linear";
    String standard_name "x_mean";
    String units "m/s";
  }
  stddev {
    String ioos_category "Statistics";
    String long_name "Water Flow Speed Stddev";
    String short_name "water_flow_speed_stddev";
    String special_notes "Binning type: linear";
    String standard_name "x_stddev";
    String units "m/s";
  }
  minimum {
    String ioos_category "Statistics";
    String long_name "Water Flow Speed Minimum";
    String short_name "water_flow_speed_minimum";
    String special_notes "Binning type: linear";
    String standard_name "x_minimum";
    String units "m/s";
  }
  maximum {
    String ioos_category "Statistics";
    String long_name "Water Flow Speed Maximum";
    String short_name "water_flow_speed_maximum";
    String special_notes "Binning type: linear";
    String standard_name "x_maximum";
    String units "m/s";
  }
  median {
    String ioos_category "Statistics";
    String long_name "Water Flow Speed Median";
    String short_name "water_flow_speed_median";
    String special_notes "Binning type: linear";
    String standard_name "x_median";
    String units "m/s";
  }
  num_values {
    String ioos_category "Statistics";
    String long_name "Water Flow Speed Num_Values";
    String short_name "water_flow_speed_num_values";
    String special_notes "Binning type: linear";
    String standard_name "x_num_values";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String contributor_name "RV Sikuliaq";
    String contributor_role "Data collector";
    String creator_name "CORIOLIX, RDESC, RCRV Project, Oregon State University";
    String creator_url "http://ceoas.oregonstate.edu";
    String history 
"2026-05-02T14:10:19Z (source database)
2026-05-02T14:10:19Z https://coriolix.sikuliaq.alaska.edu/tabledap/waterflowspeed_mpers_flowme021464_060sbin.das";
    String infoUrl "https://www.uaf.edu/cfos/sikuliaq/";
    String institution "UAF";
    String keywords "atmosphere, data, observations, ocean";
    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 "(source database)";
    String standard_name_vocabulary "CF standard name";
    String summary 
"Water Flow Speed 1-minute binned time series data.
Vessel: RV Sikuliaq. Sensor Model: Krohne Optiflux 5000 flow sensor
Sensor S/N: A13021464
Sensor Location Onboard: Wet Lab
Sensor Description: Electromagnetic Flowmeter measuring surface seawater flow being delivered to underway instruments. These electromagnetic flowmeters are designed exclusively to measure the flow and conductivity of electrically conductive, liquid media.

  The interface to this instrument is via Modbus RTU over RS485. Custom software had to be written to extract the required data from the sensor. The logged data format is
unique to Sikuliaq.
Parameter Description:";
    String title "RV Sikuliaq : Flowmeter Krohne_1464 : Water Flow Speed : 1 minute binned";
  }
}

 

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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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