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ERDDAP > tabledap > Make A Graph ?

Dataset Title:  EcoFOCI Prawler data, 2016-2019 subset Subscribe RSS
Institution:  NOAA/PMEL EcoFOCI   (Dataset ID: ecofoci_prawler)
Range: longitude = -164.1 to -164.1°E, latitude = 56.9 to 56.9°N, depth = 0.02 to 48.19m, time = 2019-04-30T18:45Z to 2019-09-20T20:12Z
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Subset | Data Access Form
 
Graph Type:  ?
X Axis: 
Y Axis: 
Color: 
-1+1
 
Constraints ? Optional
Constraint #1 ?
Optional
Constraint #2 ?
       
       
       
       
       
 
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")
 
Graph Settings
Marker Type:   Size: 
Color: 
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
Zoom: 
[The graph you specified. Please be patient.]

 

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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  profileID {
    String cf_role "profile_id";
    String long_name "Profile ID";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 _FillValue NaN;
    Float32 actual_range 56.9, 56.9;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String source_name "latitude_north";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 _FillValue NaN;
    Float32 actual_range -164.1, -164.1;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String source_name "longitude_west";
    String standard_name "longitude";
    String units "degrees_east";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.5566499e+9, 1.56901032e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Time UTC";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 _FillValue NaN;
    Float32 actual_range 0.02, 48.19;
    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";
  }
  time_AKDT {
    Float64 actual_range 1.556622e+9, 1.5689808e+9;
    String ioos_category "Time";
    String long_name "Time AKDT Rounded";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  Chlorophyll_a_ug_l {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0366, 49.776;
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String long_name "Concentration of Chlorophyll In Sea Water";
    String standard_name "concentration_of_chlorophyll_in_sea_water";
  }
  Temperature_C {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 15.094;
    String long_name "Temperature C";
  }
  year_AKDT {
    Int16 _FillValue 32767;
    Int16 actual_range 2019, 2019;
    String long_name "Year AKDT";
  }
  month_AKDT {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 4, 9;
    String long_name "Month AKDT";
  }
  day_AKDT {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 31;
    String long_name "Day AKDT";
  }
  o2_umol_kg_adj {
    Float64 _FillValue NaN;
    Float64 actual_range 204.7119639, 499.7613841;
    String long_name "Oxygen microMole/kilogram, adjusted";
    String units "microMole/kilogram";
  }
  o2_umol_l_adj {
    Float64 _FillValue NaN;
    Float64 actual_range 209.8980014, 512.2947196;
    String long_name "Oxygen microMole/Liter, adjusted";
    String units "microMole/Liter";
  }
  o2_saturation_corrected {
    Float64 _FillValue NaN;
    Float64 actual_range 62.59584101, 159.0037843;
    String long_name "Oxygen Saturation, Corrected";
    String units "percent";
  }
  bottom_depth_m {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 50, 50;
    String long_name "Bottom Depth M";
    String units "m";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Profile";
    String cdm_profile_variables "profileID, longitude, latitude, bottom_depth_m";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "pmel.info@noaa.gov";
    String creator_name "NOAA/PMEL EcoFOCI";
    String creator_type "institution";
    String creator_url "https://www.ecofoci.noaa.gov/";
    Float64 Easternmost_Easting -164.1;
    String featureType "Profile";
    Float64 geospatial_lat_max 56.9;
    Float64 geospatial_lat_min 56.9;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -164.1;
    Float64 geospatial_lon_min -164.1;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 48.19;
    Float64 geospatial_vertical_min 0.02;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-03-29T13:56:10Z (local files)
2024-03-29T13:56:10Z https://data.pmel.noaa.gov/pmel/tabledap/ecofoci_prawler.das";
    String infoUrl "https://www.ecofoci.noaa.gov/";
    String institution "NOAA/PMEL EcoFOCI";
    String keywords "adj, akdt, bottom, bottom_depth_m, chemistry, chlorophyll, Chlorophyll_a_ug_l, concentration, concentration_of_chlorophyll_in_sea_water, corrected, data, day, day_AKDT, depth, depth_m, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, EcoFOCI, environmental, laboratory, latitude, longitude, marine, month, month_AKDT, NOAA, O2, o2_saturation_corrected, o2_umol_kg_adj, o2_umol_l_adj, ocean, oceans, oxygen, pacific, pmel, prawler, profile, profileID, saturation, science, sea, seawater, temperature, Temperature_C, time, time_UTC, umol, water, year, year_AKDT";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"Data Licenses / Data Usage Restrictions
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.

Unless otherwise noted, data served through this ERDDAP server are 
not quality controlled.  Users may need to do quality control when using 
these data. These data are made available at the users own risk.";
    Float64 Northernmost_Northing 56.9;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 56.9;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "profileID, latitude, longitude, bottom_depth_m";
    String summary "EcoFOCI Prawler data. NOAA/Pacific Marine Environmental Laboratory (PMEL) EcoFOCI in situ data at M2 mooring location from a moored profiling instrument in the southeast Bering Sea. Data are a subset of the full data record, 2016-2019";
    String time_coverage_end "2019-09-20T20:12Z";
    String time_coverage_start "2019-04-30T18:45Z";
    String title "EcoFOCI Prawler data, 2016-2019 subset";
    Float64 Westernmost_Easting -164.1;
  }
}

 

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 (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

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.

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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