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ERDDAP > tabledap > Make A Graph ?

Dataset Title:  Harmful Algae Blooms Phytoplankton Archive   RSS
Institution:  Marine Institute   (Dataset ID: habs_phyto)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Subset | Data Access Form
Graph Type:  ?
X Axis: 
Y Axis: 
Constraints ? Optional
Constraint #1 ?
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 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.)
Then set the File Type: (File Type information)
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  aphia_id {
    String ioos_category "Identifier";
    String long_name "species";
  scientific_name {
    String ioos_category "Unknown";
    String long_name "species_name";
  samplecode {
    String cf_role "timeseries_id";
    String ioos_category "Identifier";
    String long_name "samplecode";
  time {
    String _CoordinateAxisType "Time";
    String axis "T";
    String ioos_category "Time";
    String long_name "Datetime";
    String source_name "Datetime";
    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";
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  longitude {
    String _CoordinateAxisType "Lon";
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  location_name {
    String ioos_category "Identifier";
    String long_name "LocationLabel";
  count {
    String ioos_category "Unknown";
    String long_name "count";
  toxic {
    String ioos_category "Unknown";
    String long_name "toxic";
  toxin_name {
    String ioos_category "Unknown";
    String long_name "toxin_name";
  week_no {
    String ioos_category "Unknown";
    String long_name "week_number";
  weekdatefrom {
    String ioos_category "Time";
    String long_name "weekdatefrom";
    String source_name "WeekDateFrom";
  location_id {
    String ioos_category "Identifier";
    String long_name "location_id";
  region_name {
    String ioos_category "Identifier";
    String long_name "region_name";
  parent_area_id {
    String ioos_category "Identifier";
    String long_name "parent_area_id";
  parent_area_code {
    String ioos_category "Identifier";
    String long_name "parent_area_code";
  parent_area_name {
    String ioos_category "Unknown";
    String long_name "parent_area_name";
  location_code {
    String ioos_category "Unknown";
    String long_name "location_code";
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "samplecode";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "Marine Institute";
    String creator_type "person";
    String creator_url "";
    String featureType "TimeSeries";
    String geospatial_lat_units "degrees_north";
    String geospatial_lon_units "degrees_east";
    String history 
"2024-06-25T02:02:16Z (source database)
    String infoUrl "";
    String institution "Marine Institute";
    String keywords "habs, species";
    String keywords_vocabulary "GCMD Science Keywords";
    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 Table v29";
    String subsetVariables "aphia_id";
    String summary "Harmful Algae Blooms Phytoplankton Archive";
    String title "Harmful Algae Blooms Phytoplankton Archive";


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{?query}
For example,,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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