Data Access Form

Dataset Title:	MODIS Aqua 1-Day 1 km Atlantic Sturgeon Forecast Model Delaware Bay
Institution:	??? (Dataset ID: sturgeon_model_based_on_modis_aqua)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Make a graph

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Dimensions	Size	Spacing
time (UTC)	1516	1 day 23h 18m 11s (uneven)

forecast_time (UTC)	4	1 day (even)

latitude (degrees_north)	164	0.007640091 (uneven)

longitude (degrees_east)	102	0.00980196 (even)

Grid Variables (which always also download all of the dimension variables)

Sturgeon_Categories (Sturgeon Categories)

Sturgeon_Predictions (Probability of Sturgeon Presence)

File type: (more info)

(Documentation / Bypass this form)

(Please be patient. It may take a while to get the data.)

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    Int32 _ChunkSizes 1048576;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.325376e+9, 1.5833664e+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";
  }
  forecast_time {
    Float64 actual_range 0.0, 259200.0;
    String ioos_category "Time";
    String long_name "Forecast 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 38.451765823495855, 39.69710073588046;
    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 -75.69093818763754, -74.7009401880376;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Sturgeon_Categories {
    Int32 _ChunkSizes 1, 4, 164, 102;
    Float32 _FillValue -999.0;
    String ioos_category "Unknown";
    String long_name "Sturgeon Categories";
    String units "Sturgeon Categories";
  }
  Sturgeon_Predictions {
    Int32 _ChunkSizes 1, 4, 164, 102;
    Float32 _FillValue -999.0;
    String ioos_category "Unknown";
    String long_name "Sturgeon Model Predictions";
    String units "Probability of Sturgeon Presence";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    Float64 Easternmost_Easting -74.7009401880376;
    Float64 geospatial_lat_max 39.69710073588046;
    Float64 geospatial_lat_min 38.451765823495855;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -74.7009401880376;
    Float64 geospatial_lon_min -75.69093818763754;
    Float64 geospatial_lon_resolution 0.009801960392078573;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-04-27T15:32:30Z (local files)
2025-04-27T15:32:30Z http://robots.ceoe.udel.edu/erddap/griddap/sturgeon_model_based_on_modis_aqua.das";
    String infoUrl "???";
    String institution "???";
    String keywords "categories, data, forecast, forecast_time, local, model, predictions, source, sturgeon, Sturgeon_Categories, Sturgeon_Predictions, time";
    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 39.69710073588046;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 38.451765823495855;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "This product is developed for mature Atlantic Sturgeon using historic telemetry observations match to date, bathymetry, and sea surface temperature from NASAs MODIS Aqua satellite. This product is based on MODIS Aqua 1-day 1 km DinEOF Gapfilled Composite Forecast Delaware Bay. Web application available at http://basin.ceoe.udel.edu/shiny/sample-apps/sturgeon/";
    String time_coverage_end "2020-03-05T00:00:00Z";
    String time_coverage_start "2012-01-01T00:00:00Z";
    String title "MODIS Aqua 1-Day 1 km Atlantic Sturgeon Forecast Model Delaware Bay";
    Float64 Westernmost_Easting -75.69093818763754;
  }
}

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.

(easy) You can get data by using the dataset's Data Access Form. It makes 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.

griddap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST.htmlTable?analysed_sst[(2015-06-09T09:00:00Z)][(-89.9945):1000:(89.9945)][(-179.995):1000:(179.995)]
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.