ERDDAP > griddap > Data Access Form

Dataset Title:	BATM_NMDIS_2021_Jixia_Hill
Institution:	NMDIS   (Dataset ID: BATM_NMDIS_2021_Jixia_Hill)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Dimensions	Start	Stride	Stop	Size	Spacing
latitude (degrees_north)				64	0.004166667 (even)
longitude (degrees_east)				80	0.004166667 (even)

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

depth (m)

VSOUNDINGS

File type: (more information) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .dods - OPeNDAP clients use this to download the data in the DODS binary format. .esriAscii - Download an ISO-8859-1 ESRI ASCII file (latitude longitude data only; longitude must be all below or all above 180). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .graph - View a Make A Graph web page. .help - View a web page with a description of griddap. .html - View an OPeNDAP-style HTML Data Access Form. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .iso19115 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each axis variable and each data variable becomes a wave. .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .jsonlCSV1 - View a UTF-8 JSON Lines CSV file with column names on line 1 (mv = 'null'; times are ISO 8601 strings). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = 'null'; times are ISO 8601 strings). .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .mat - Download a MATLAB binary file. .nc - Download a NetCDF-3 binary file with COARDS/CF/ACDD metadata. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .ncml - View the dataset's structure and metadata as a UTF-8 NCML .xml file. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .odvTxt - Download time,latitude,longitude,otherVariables as an ODV Generic Spreadsheet File (.txt). .timeGaps - View a UTF-8 list of gaps in the time values which are larger than the median gap. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .wav - Download a .wav audio file. All columns must be numeric and of the same type. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. Times are ISO 8601 strings. .geotif - View a grayscale GeoTIFF .tif file (for latitude longitude data; longitude must be all below or all above 180). .kml - View a Google Earth .kml file (for latitude, longitude data only). .smallPdf - View a small .pdf image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .smallPng - View a small .png image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .largePng - View a large .png image file with a graph or map. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend).

(Documentation / Bypass this form)
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 17.252083333333335, 17.514583333333334;
    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 130.20208333333332, 130.53125;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth {
    Float64 colorBarMaximum -4731.400000000001;
    Float64 colorBarMinimum -6743.700000000001;
    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 -4731.400000000001;
    Float64 layer_min_value -6743.700000000001;
    String layer_type "DTM";
    String long_name "DEPTH";
    Float64 missing_value -3467.9;
    String standard_name "depth";
    String units "m";
    Float64 valid_maximum 20133.0;
    Float64 valid_minimum 9.0;
  }
  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 130.53125;
    Float64 Element_x_size 0.004166666666666667;
    Float64 Element_y_size 0.004166666666666667;
    Float64 geospatial_lat_max 17.514583333333334;
    Float64 geospatial_lat_min 17.252083333333335;
    Float64 geospatial_lat_resolution 0.004166666666666655;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 130.53125;
    Float64 geospatial_lon_min 130.20208333333332;
    Float64 geospatial_lon_resolution 0.004166666666666835;
    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 
"2024-11-21T15:53:59Z (local files)
2024-11-21T15:53:59Z http://222.186.3.18:8888/erddap/griddap/BATM_NMDIS_2021_Jixia_Hill.das";
    String infoUrl "???";
    String institution "NMDIS";
    String keywords "columns, data, depth, lines, local, source, vsoundings";
    Float64 Latitude_BL 17.25;
    Float64 Latitude_BR 17.25;
    Float64 Latitude_TL 17.516666666666666;
    Float64 Latitude_TR 17.516666666666666;
    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 130.2;
    Float64 Longitude_BR 130.53333333333333;
    Float64 Longitude_TL 130.2;
    Float64 Longitude_TR 130.53333333333333;
    Float64 mbEastLongitude 130.53333333333333;
    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_11141089148217137435";
    Int16 mbNbrHistoryRec 1;
    Float64 mbNorthLatitude 17.516666666666666;
    String mbProj4String "+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs";
    Int16 mbProjType -1;
    Float64 mbSouthLatitude 17.25;
    Int32 mbStartDate 0;
    Int32 mbStartTime 0;
    String mbTimeReference "Julian date for 1970/01/01 = 2 440 588";
    Int16 mbVersion 200;
    Float64 mbWestLongitude 130.2;
    Float64 Northernmost_Northing 17.514583333333334;
    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 17.252083333333335;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Data from a local source.";
    String title "BATM_NMDIS_2021_Jixia_Hill";
    String Type "DTM";
    Float64 Westernmost_Easting 130.20208333333332;
    Float64 Xmax_metric 130.53333333333333;
    Float64 Xmin_metric 130.2;
    Float64 Ymax_metric 17.516666666666666;
    Float64 Ymin_metric 17.25;
  }
}

 

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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 Data Access Protocol (DAP) and its projection constraints.

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/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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