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Dataset Title:  Sea Scallops Abundance (SMAST) Subscribe RSS
Institution:  Rutgers University   (Dataset ID: SMAST_scallops)
Range: longitude = -75.08473 to -66.36462°E, latitude = 36.43904 to 42.44547°N
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
 
Graph Type:  ?
X Axis: 
Y Axis: 
Color: 
-1+1
 
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.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: 
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: 
[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 {
  index {
    Int16 actual_range 0, 919;
    String ioos_category "Unknown";
    String long_name "Index";
  }
  area {
    Float64 actual_range 7.18787983977, 100.0;
    String ioos_category "Unknown";
    String long_name "The_area_of_the_SASI_grid_cell";
    String units "km^2";
  }
  ScallopSD {
    Float32 _FillValue -999999.0;
    Float32 actual_range 0.0, 58.6834;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "The standar deviation of scallop surveys";
    String units "scallops";
  }
  ScallopAve {
    Float32 _FillValue -999999.0;
    Float32 actual_range 0.0, 36.42697;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "The average number of scallops per survey";
    String units "scallops";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 _FillValue -999999.0;
    Float32 actual_range -75.08473, -66.36462;
    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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 _FillValue -999999.0;
    Float32 actual_range 36.43904, 42.44547;
    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";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String comment "This data product shows the average abundance of  Scallops within each cell from the New England Fishery Management Council Swept Area Seabed Impact (SASI) model from 2003 to 2012.";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    Float64 Easternmost_Easting -66.36462;
    Float64 geospatial_lat_max 42.44547;
    Float64 geospatial_lat_min 36.43904;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -66.36462;
    Float64 geospatial_lon_min -75.08473;
    String geospatial_lon_units "degrees_east";
    String history 
"Created by Eli Hunter (hunter@marine.rutgers.edu),20-May-2020 13:12:39
2025-02-21T16:54:23Z (local files)
2025-02-21T16:54:23Z https://nybsand.marine.rutgers.edu/tabledap/SMAST_scallops.das";
    String infoUrl "https://portal.midatlanticocean.org/";
    String institution "Rutgers University";
    String keywords "abundance, area, average, cell, data, deviation, grid, index, latitude, longitude, number, per, sasi, scallop, ScallopAve, scallops, ScallopSD, sea, smast, standar, statistics, survey, surveys";
    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 42.44547;
    String source "https://www.northeastoceandata.org/data-explorer/?fish,  SMAST_scallops.zip";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 36.43904;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "With the aid of the commercial scallop fishing industry, the SMAST video survey covered the Continental Shelf from the southern Mid-Atlantic to the USACanadian border on eastern Georges Bank. The survey was conducted to assess the abundance and distribution of the Atlantic sea scallop on the Mid-Atlantic Bight and Georges Bank.";
    String title "Sea Scallops Abundance (SMAST)";
    Float64 Westernmost_Easting -75.08473;
  }
}

 

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
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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