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Dataset Title:  BATM_NMDIS_2021_Tianqing_Knoll Subscribe RSS
Institution:  NMDIS   (Dataset ID: BATM_NMDIS_2021_Tianqing_Knoll)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 latitude (degrees_north) ?      64    0.001041667 (even)
  < slider >
 longitude (degrees_east) ?      80    0.001041667 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 depth (m) ?
 VSOUNDINGS ?

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";
    Float64 actual_range 9.183854166666666, 9.249479166666667;
    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 -154.6328125, -154.55052083333334;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth {
    Float64 colorBarMaximum -4927.9800000000005;
    Float64 colorBarMinimum -5412.400000000001;
    String colorBarPalette "TopographyDepth";
    Byte element_type 3;
    String esri_pe_string "GEOGCS[\"GCS_WGS_1984\",DATUM[\"D_WGS_1984\",SPHEROID[\"WGS_1984\",6378137,298.257223563]],PRIMEM[\"Greenwich\",0],UNIT[\"Degree\",0.017453292519943295]]";
    Float64 ext_missing_value 9.969209968386869e+36;
    Int32 first_column 1;
    Int32 first_line 1;
    String ioos_category "Location";
    Int32 last_column 80;
    Int32 last_line 64;
    Float64 layer_max_value -4927.9800000000005;
    Float64 layer_min_value -5412.400000000001;
    String layer_type "DTM";
    String long_name "DEPTH";
    Float64 missing_value -4758.04;
    String standard_name "depth";
    String units "m";
    Float64 valid_maximum 24271.0;
    Float64 valid_minimum 49.0;
  }
  VSOUNDINGS {
    Byte element_type 4;
    String esri_pe_string "GEOGCS[\"GCS_WGS_1984\",DATUM[\"D_WGS_1984\",SPHEROID[\"WGS_1984\",6378137,298.257223563]],PRIMEM[\"Greenwich\",0],UNIT[\"Degree\",0.017453292519943295]]";
    Float64 ext_missing_value 2.147483647e+9;
    Int32 first_column 1;
    Int32 first_line 1;
    String ioos_category "Unknown";
    Int32 last_column 80;
    Int32 last_line 64;
    Float64 layer_max_value 1.0;
    Float64 layer_min_value 1.0;
    String layer_type "DQM";
    String long_name "VSOUNDINGS";
    Int32 missing_value 2147483647;
    Float64 valid_maximum 1.0;
    Float64 valid_minimum 1.0;
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    Int32 CIB_BLOCKS_FOR_UNLIMITED 1;
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    Float64 Easternmost_Easting -154.55052083333334;
    Float64 Element_x_size 0.0010416666666666667;
    Float64 Element_y_size 0.0010416666666666667;
    Float64 geospatial_lat_max 9.249479166666667;
    Float64 geospatial_lat_min 9.183854166666666;
    Float64 geospatial_lat_resolution 0.001041666666666678;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -154.55052083333334;
    Float64 geospatial_lon_min -154.6328125;
    Float64 geospatial_lon_resolution 0.0010416666666666187;
    String geospatial_lon_units "degrees_east";
    String grid_mapping_crs_wkt "GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563,AUTHORITY[\"EPSG\",\"7030\"]],AUTHORITY[\"EPSG\",\"6326\"]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",\"8901\"]],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AUTHORITY[\"EPSG\",\"4326\"]]";
    String grid_mapping_geographic_crs_name "WGS 84";
    String grid_mapping_horizontal_datum_name "WGS_1984";
    Float64 grid_mapping_inverse_flattening 298.257223563;
    String grid_mapping_long_name "CRS definition";
    Float64 grid_mapping_longitude_of_prime_meridian 0.0;
    String grid_mapping_name "latitude_longitude";
    String grid_mapping_prime_meridian_name "Greenwich";
    String grid_mapping_reference_ellipsoid_name "WGS 84";
    Float64 grid_mapping_semi_major_axis 6378137.0;
    String grid_mapping_spatial_ref "GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563,AUTHORITY[\"EPSG\",\"7030\"]],AUTHORITY[\"EPSG\",\"6326\"]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",\"8901\"]],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AUTHORITY[\"EPSG\",\"4326\"]]";
    String history 
"2024-11-24T00:09:37Z (local files)
2024-11-24T00:09:37Z http://222.186.3.18:8888/erddap/griddap/BATM_NMDIS_2021_Tianqing_Knoll.das";
    String infoUrl "???";
    String institution "NMDIS";
    String keywords "columns, data, depth, lines, local, source, vsoundings";
    Float64 Latitude_BL 9.183333333333334;
    Float64 Latitude_BR 9.183333333333334;
    Float64 Latitude_TL 9.25;
    Float64 Latitude_TR 9.25;
    String license "These data are public and free of charge. User assumes all risk for use of data. User must display citation in any publication or product using data. User must contact NMDIS prior to any commercial use of data.";
    Float64 Longitude_BL -154.63333333333333;
    Float64 Longitude_BR -154.54999999999998;
    Float64 Longitude_TL -154.63333333333333;
    Float64 Longitude_TR -154.54999999999998;
    Float64 mbEastLongitude -154.54999999999998;
    Float64 mbEllipsoidA 6378137.0;
    Float64 mbEllipsoidE2 0.00669437999014133;
    Float64 mbEllipsoidInvF 0.003352810664747463;
    String mbEllipsoidName "WGS-84";
    Int32 mbEndDate 0;
    Int32 mbEndTime 0;
    Int16 mbLevel 0;
    String mbName "GLOBE__EMODNET_16703585237925381509";
    Int16 mbNbrHistoryRec 1;
    Float64 mbNorthLatitude 9.25;
    String mbProj4String "+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs";
    Int16 mbProjType -1;
    Float64 mbSouthLatitude 9.183333333333334;
    Int32 mbStartDate 0;
    Int32 mbStartTime 0;
    String mbTimeReference "Julian date for 1970/01/01 = 2 440 588";
    Int16 mbVersion 200;
    Float64 mbWestLongitude -154.63333333333333;
    Float64 Northernmost_Northing 9.249479166666667;
    Int32 Number_columns 80;
    Int32 Number_layers 2;
    Int32 Number_lines 64;
    Float32 Orientation 0.0;
    Int16 Sounder_type 0;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 9.183854166666666;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Data from a local source.";
    String title "BATM_NMDIS_2021_Tianqing_Knoll";
    String Type "DTM";
    Float64 Westernmost_Easting -154.6328125;
    Float64 Xmax_metric -154.54999999999998;
    Float64 Xmin_metric -154.63333333333333;
    Float64 Ymax_metric 9.25;
    Float64 Ymin_metric 9.183333333333334;
  }
}

 

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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