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Dataset Title:  Estimated Seafloor Depth Gradients: ETOPO (US West Coast) Subscribe RSS
Institution:  NOAA ERD   (Dataset ID: erdEtopoSeafloorGradient)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 latitude (degrees_north) ?      1801    0.01666667 (even)
  < slider >
 longitude (degrees_east) ?      1501    0.01666667 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 magnitude_gradient (Magnitude of Sea Floor Depth Gradient, m) ?
 x_gradient (East-West Gradient of Sea Floor Depth, m) ?
 y_gradient (North-South Gradient of Sea Floor Depth, m) ?
 sea_floor_depth (m) ?

File type: (more information)

(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 {
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 20.0, 50.0;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String reference_datum "geographical coordinates, WGS84 projection";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 50.0;
    Float32 valid_min 20.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 230.0, 255.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String reference_datum "geographical coordinates, WGS84 projection";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 255.0;
    Float32 valid_min 230.0;
  }
  magnitude_gradient {
    Float64 colorBarMaximum 0.05;
    Float64 colorBarMinimum 0.0;
    String colorBarPalette "KT_amp";
    String ioos_category "Location";
    String long_name "Magnitude of Sea Floor Depth Gradient";
    Float32 missing_value NaN;
    String units "m";
  }
  x_gradient {
    Float64 colorBarMaximum 0.05;
    Float64 colorBarMinimum -0.03;
    String colorBarPalette "KT_balance";
    String ioos_category "Location";
    String long_name "East-West Gradient of Sea Floor Depth";
    Float32 missing_value NaN;
    String units "m";
  }
  y_gradient {
    Float64 colorBarMaximum 0.05;
    Float64 colorBarMinimum -0.03;
    String colorBarPalette "KT_balance";
    String ioos_category "Location";
    String long_name "North-South Gradient of Sea Floor Depth";
    Float32 missing_value NaN;
    String units "m";
  }
  sea_floor_depth {
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String ioos_category "Location";
    String long_name "Sea Floor Depth";
    Float32 missing_value NaN;
    String standard_name "sea_floor_depth";
    String units "m";
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.6.2,hdf5=1.10.4";
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "erd.data@noaa.gov";
    String creator_name "NOAA NMFS SWFSC ERD";
    String creator_type "institution";
    String creator_url "https://www.pfeg.noaa.gov";
    Float64 Easternmost_Easting 255.0;
    Float64 geospatial_lat_max 50.0;
    Float64 geospatial_lat_min 20.0;
    Float64 geospatial_lat_resolution 0.016666666666666666;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 255.0;
    Float64 geospatial_lon_min 230.0;
    Float64 geospatial_lon_resolution 0.016666666666666666;
    String geospatial_lon_units "degrees_east";
    String history 
"created from etopousing python scikit-image canny algorithm, sigma = 10
2024-12-03T18:29:34Z (local files)
2024-12-03T18:29:34Z https://coastwatch.pfeg.noaa.gov/erddap/griddap/erdEtopoSeafloorGradient.das";
    String infoUrl "https://www.pfeg.noaa.gov";
    String institution "NOAA ERD";
    String keywords "bathymetry, data, depth, earth, Earth Science > Oceans > Bathymetry/Seafloor Topography > Bathymetry, east, east-west, erd, estimatedetoposea, floor, gradient, magnitude, magnitude_gradient, noaa, north, north-south, ocean, oceans, science, sea, sea_floor_depth, seafloor, south, topography, west, x_gradient, y_gradient";
    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.
";
    Float64 Northernmost_Northing 50.0;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 20.0;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Estimated sea_floor depth  x-gradient, y-gradient and gradient magnitude using the Python scikit-image canny algorithm with sigma = 7.5, x-gradient, y-gradient and gradient magnitude. For the code used to create this dataset (and a description), see https://rmendels.github.io/seafloor_gradient_doc.html .";
    String title "Estimated Seafloor Depth Gradients: ETOPO (US West Coast)";
    Float64 Westernmost_Easting 230.0;
  }
}

 

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
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(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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