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Dataset Title:  FK 7D Mean Sea Surface Temperature Subscribe RSS
Institution:  USF IMaRS   (Dataset ID: SST4_b24c_5823_8b7c)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
Dimensions ?    Start ?    Stop ?
time (UTC) ?     specify just 1 value →
    << - >>
< <
latitude (degrees_north) ?
< slider >
longitude (degrees_east) ?
< slider >
Graph Settings
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   Ascending: 
(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. ?
[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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.0297152e+9, 1.5628032e+9;
    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";
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 23.00996, 26.0;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -85.0, -79.01084;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  sst4_median {
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "Sea Surface Temperature";
    String Product "sst4";
    String standard_name "sea_surface_temperature";
    String units "degree_C";
  sst4_anom {
    Float64 colorBarMaximum 3.0;
    Float64 colorBarMinimum -3.0;
    String ioos_category "Temperature";
    String long_name "Surface Temperature Anomaly";
    String Product "sst4_anomaly";
    String standard_name "surface_temperature_anomaly";
    String units "degree_C";
    String cdm_data_type "Grid";
    String Composite_end_date "07/11/2019";
    String Composite_start_date "07/09/2019";
    String contact "Dan Otis -";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String CreationDate "07/16/2019 06:02:32";
    String creator_email "";
    String creator_name "DOTIS";
    String creator_type "institution";
    Float64 Easternmost_Easting -79.01084;
    Float64 geospatial_lat_max 26.0;
    Float64 geospatial_lat_min 23.00996;
    Float64 geospatial_lat_resolution 0.009088267477203649;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -79.01084;
    Float64 geospatial_lon_min -85.0;
    Float64 geospatial_lon_resolution 0.009088254931714716;
    String geospatial_lon_units "degrees_east";
    String history 
"2019-07-18T03:20:26Z (local files)
    String Image_size "330 pixels(N-S) x 660 pixels(E-W)";
    String infoUrl "http://imars.marine.usf";
    String institution "USF IMaRS";
    String keywords "anomaly, data, earth, Earth Science > Land Surface > Land Temperature > Land Surface Temperature, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, florida, img_x, img_y, land, local, mail.usf, ocean, oceans, science, sea, sea_surface_temperature, source, south, sst4_anom, sst4_median, surface, surface_temperature_anomaly, temperature, university, usf";
    String keywords_vocabulary "GCMD Science Keywords";
    String Lat_Lon_Limits "23.01N to 26N -85W to -79.0108W";
    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.";
    Float64 Northernmost_Northing 26.0;
    String Ocean_color_masks_based_on_L2_flags "LAND,CLDICE,HIGLINT";
    String Original_Image_Format "Level-2(NetCDF)";
    String Original_Image_Source "NASA Ocean Biology Processing Group";
    String Processing_and_binning "USF IMaRS";
    String Projection "Equidistant Cylindrical";
    String Region "Florida Keys (FK)";
    String Sensor "MODIS-Aqua";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 23.00996;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "FK 7D Mean Sea Surface Temperature";
    String time_coverage_end "2019-07-11T00:00:00Z";
    String time_coverage_start "2002-08-19T00:00:00Z";
    String Time_interval "7-Day Composite (median)";
    String title "FK 7D Mean Sea Surface Temperature";
    Float64 Westernmost_Easting -85.0;


Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. griddap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its projection 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.

griddap request URLs must be in the form{?query}
For example,[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][latitude][longitude]).

For details, see the griddap Documentation.

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