Make A Graph

Dataset Title:	JWS Morro Strand
Institution:	California State University Long Beach (Dataset ID: jws-morro-strand)
Range:	longitude = -120.875 to -120.875°E, latitude = 35.397 to 35.397°N, time = 2019-06-18T16:59:59Z to 2022-10-28T16:59:33Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form

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Graph Type:

X Axis:

Y Axis:

Color:

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.

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:

Time range:

[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:

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 {
    UInt32 _ChunkSizes 512;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.560877199e+9, 1.666976373e+9;
    String axis "T";
    String calendar "gregorian";
    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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 35.397, 35.397;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -120.875, -120.875;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  z {
    UInt32 _ChunkSizes 507;
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "up";
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 0.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Altitude";
    String positive "up";
    String standard_name "altitude";
    String units "m";
  }
  sea_water_temperature {
    UInt32 _ChunkSizes 512;
    Float64 _FillValue -9999.0;
    Float64 actual_range 8.9, 18.5;
    String id "1124552";
    String ioos_category "Other";
    String long_name "Water Temperature";
    Float64 missing_value -9999.0;
    String platform "station";
    String short_name "sea_water_temperature";
    String standard_name "sea_water_temperature";
    String standard_name_url "http://mmisw.org/ont/cf/parameter/sea_water_temperature";
    String units "degree_Celsius";
  }
  station {
    String cf_role "timeseries_id";
    String ioos_category "Identifier";
    String ioos_code "urn:ioos:station:com.axiomdatascience:135248";
    String long_name "JWS Morro Strand";
    String short_name "jws-morro-strand";
    String type "fixed";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "station,longitude,latitude";
    String contributor_email "feedback@axiomdatascience.com";
    String contributor_name "Axiom Data Science";
    String contributor_role "processor";
    String contributor_role_vocabulary "NERC";
    String contributor_url "https://www.axiomdatascience.com";
    String Conventions "IOOS-1.2, CF-1.6, ACDD-1.3, NCCSV-1.2";
    String creator_country "USA";
    String creator_institution "California State University Long Beach";
    String creator_name "California State University Long Beach";
    String creator_sector "academic";
    String creator_type "institution";
    String creator_url "https://www.csulb.edu/";
    String defaultDataQuery "sea_water_temperature,z,time&time>=max(time)-3days";
    Float64 Easternmost_Easting -120.875;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 35.397;
    Float64 geospatial_lat_min 35.397;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -120.875;
    Float64 geospatial_lon_min -120.875;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 0.0;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "up";
    String geospatial_vertical_units "m";
    String history 
"Downloaded from California State University Long Beach at 
2024-11-04T21:26:09Z https://www.csulb.edu/shark-lab
2024-11-04T21:26:09Z http://erddap.cencoos.org/tabledap/jws-morro-strand.das";
    Int32 id 135248;
    String infoUrl "https://data.cencoos.org/#metadata/135248/station";
    String institution "California State University Long Beach";
    String license "These data may be used and redistributed for free but they are not intended for legal use, since they may contain inaccuracies. For use for publications please reference the Central and Northern California Ocean Observing system (CeNCOOS) and NOAA. Neither the data provider, CeNCOOS, 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, or this information.";
    String naming_authority "com.axiomdatascience";
    Float64 Northernmost_Northing 35.397;
    String platform "fixed";
    String platform_name "JWS Morro Strand";
    String platform_vocabulary "http://mmisw.org/ont/ioos/platform";
    String processing_level "Level 2";
    String publisher_country "USA";
    String publisher_institution "California State University Long Beach";
    String publisher_name "California State University Long Beach";
    String publisher_sector "academic";
    String publisher_type "institution";
    String publisher_url "https://www.csulb.edu/";
    String references "https://www.csulb.edu/shark-lab,,";
    String sourceUrl "https://www.csulb.edu/shark-lab";
    Float64 Southernmost_Northing 35.397;
    String standard_name_vocabulary "CF Standard Name Table v72";
    String station_id "135248";
    String summary "Timeseries data from 'JWS Morro Strand' (jws-morro-strand)";
    String time_coverage_end "2022-10-28T16:59:33Z";
    String time_coverage_start "2019-06-18T16:59:59Z";
    String title "JWS Morro Strand";
    Float64 Westernmost_Easting -120.875;
  }
}

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.

(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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