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Dataset Title:  Lake Superior - MODIS - Lake Surface Temperature (LST) - Aggregation Subscribe RSS
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 1.331625e+9, 1.4092113e+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 actual_range 46.2960594, 49.131963400000004;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -92.4358814, -84.1855374;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  sst {
    Float64 _FillValue -999.0;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String comments "Projection information found in the crs variable";
    String grid_mapping "crs";
    String ioos_category "Temperature";
    String long_name "Lake Surface Temperature";
    Float64 missing_value -999.0;
    String standard_name "lake_surface_temperature";
    String units "degrees_Celsius";
    String _CoordSysBuilder "ucar.nc2.dataset.conv.CF1Convention";
    String cdm_data_type "Grid";
    String comment "These data are provided to the Great Lakes Observing System from the Michigan Tech Research Institute (MTRI) in Ann Arbor, MI.  For further information about MTRI or these data, please contact Mr. Colin Brooks";
    String Conventions "CF-1.6, COARDS, Unidata Dataset Discovery v1.0";
    String creator_email "";
    String creator_name "Colin Brooks";
    String creator_url "";
    Float64 Easternmost_Easting -84.1855374;
    String GDAL "GDAL 1.9.2, released 2012/10/08";
    Float64 geospatial_lat_max 49.131963400000004;
    Float64 geospatial_lat_min 46.2960594;
    Float64 geospatial_lat_resolution 0.0024280000000000057;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -84.1855374;
    Float64 geospatial_lon_min -92.4358814;
    Float64 geospatial_lon_resolution 0.0024279999999999996;
    String geospatial_lon_units "degrees_east";
    String history 
"Thu Oct  2 16:58:03 2014: ncks -d time,8 SST/
Wed Sep  3 11:55:22 2014: /usr/local/bin/ncks -4 -A -L 3 /home/nljessee/Desktop/DMAC_Scripts/Superior/LST/ /home/nljessee/Desktop/DMAC_Scripts/Superior/LST/4326_201408280735.nc4
Wed Sep 03 11:55:19 2014: GDAL Create( /home/nljessee/Desktop/DMAC_Scripts/Superior/LST/, ... )
2018-03-21T12:36:52Z (local files)
    String id "modis.sst";
    String infoUrl "";
    String institution "MTRI";
    String keywords "aggregation, aoc, glos, lake, lake surface temperature, lake_surface_temperature, lst, modis, mtri, satellite, sea surface temperature, sst, superior, surface, temperature";
    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 Metadata_Conventions "CF-1.6, COARDS, Unidata Dataset Discovery v1.0";
    String metadata_link "";
    String naming_authority "GLOS";
    String NCO "4.0.9";
    Float64 Northernmost_Northing 49.131963400000004;
    String original_institution "Michigan Tech Research Institute (MTRI)";
    String project "GLOS MTRI AOC";
    String publisher_email "";
    String publisher_name "GLOS DMAC";
    String publisher_url "";
    String references "";
    String source "MODIS Aqua, 4 micrometer night time collection";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 46.2960594;
    String standard_name_vocabulary "";
    String summary "Aggregation of Lake Surface Temperature from Lake Superior and surrounding waters from MODIS satellites.";
    String time_coverage_end "2014-08-28T07:35:00Z";
    String time_coverage_start "2012-03-13T07:50:00Z";
    String title "Lake Superior - MODIS - Lake Surface Temperature (LST) - Aggregation";
    Float64 Westernmost_Easting -92.4358814;


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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