ERDDAP > tabledap > Make A Graph

Dataset Title:	RV Sikuliaq : Anemometer Gill_1006 : Relative Wind Speed : 600 s binned
Institution:	UAF   (Dataset ID: relativewindspeed_mpers_anemom351006_600sbin)
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)

 

---

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 {
  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 "Relative Wind Speed Spot_Value";
    String short_name "relative_wind_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 "Relative Wind Speed Mean";
    String short_name "relative_wind_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 "Relative Wind Speed Stddev";
    String short_name "relative_wind_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 "Relative Wind Speed Minimum";
    String short_name "relative_wind_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 "Relative Wind Speed Maximum";
    String short_name "relative_wind_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 "Relative Wind Speed Median";
    String short_name "relative_wind_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 "Relative Wind Speed Num_Values";
    String short_name "relative_wind_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 
"2026-05-02T14:11:14Z (source database)
2026-05-02T14:11:14Z https://coriolix.sikuliaq.alaska.edu/tabledap/relativewindspeed_mpers_anemom351006_600sbin.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 
"Relative Wind Speed 600 s binned time series data.
Vessel: RV Sikuliaq. Sensor Model: Gill Instruments WindObserver 75 (heated) anemometer
Sensor S/N: 1351006
Sensor Location Onboard: Forward Mast
Sensor Description: The WindObserver 75 has been developed for measuring higher wind speeds in extreme weather environments featuring 150 Watts of electrical heating power in the anemometer head. This anemometer has been designed to remain ice free in most freezing weather conditions. The sensor provides data via RS422/RS485 bidirectional link, which allows several units to be networked together and data logged on demand.
Parameter Description: Wind speed relative to the vessel.";
    String title "RV Sikuliaq : Anemometer Gill_1006 : Relative Wind Speed : 600 s binned";
  }
}

 

---

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 2.23
Disclaimers | Privacy Policy | Contact