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Dataset Title:  Cape Hatteras, North Carolina Coastal Digital Elevation Model (cape hatteras
13 mhw 2006), 9.259259E-5°
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Institution:  NOAA   (Dataset ID: noaa_ngdc_f008_ec0a_71aa)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
Dimensions ?    Start ?    Stop ?
latitude (degrees_north) ?
< slider >
longitude (degrees_east) ?
< slider >
Graph Settings
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   Ascending: 
(Please be patient. It may take a while to get the data.)
Then set the File Type: (File Type information)
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
[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 {
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 34.75, 35.799999999970595;
    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 -76.05000000000001, -75.050000000028;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  Band1 {
    Float32 _FillValue -99999.0;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String grid_mapping "crs";
    String ioos_category "Statistics";
    String long_name "GDAL Band Number 1";
    String positive "up";
    String units "meters";
    String cdm_data_type "Grid";
    String comment "Developed for the Pacific Marine Environmental Laboratory (PMEL), NOAA Center for Tsunami Research program in support of NOAA's tsunami forecasting and warning efforts.";
    String Conventions "ACDD 1.3, CF-1.6, COARDS";
    String creator_email "";
    String creator_institution "DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce; publisher; DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce; Boulder; Colorado; publisher; DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce; originator; Citation URL;; Cape Hatteras, NC 1/3 arc-second Tsunami Inundation DEM; Download page for accessing DEM, metadata record and development report.; download; Citation URL;; NOAA Tsunami Inundation Gridding Project; Project web page.; information";
    String creator_name "National Centers for Environmental Information";
    String creator_type "group";
    String creator_url "";
    String date_issued "2006-07-06";
    String date_metadata_modified "2016-07-28";
    Float64 Easternmost_Easting -75.050000000028;
    String GDAL "GDAL 1.11.4, released 2016/01/25";
    String GDAL_AREA_OR_POINT "Area";
    String geospatial_bounds_crs "World Geodetic System 1984";
    String geospatial_bounds_vertical_crs "Mean High Water height";
    Float64 geospatial_lat_max 35.799999999970595;
    Float64 geospatial_lat_min 34.75;
    Float64 geospatial_lat_resolution 9.259259258999956e-5;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -75.050000000028;
    Float64 geospatial_lon_min -76.05000000000001;
    Float64 geospatial_lon_resolution 9.259259259000042e-5;
    String geospatial_lon_units "degrees_east";
    String GMT_version "4.5.13 [64-bit]";
    String history 
"Tue Jul 26 17:46:58 2016: GDAL CreateCopy( /nfs/metadata_working/DEM/, ... )
    String id "";
    String infoUrl "";
    String institution "NOAA";
    String keywords "band, Band1, bathymetry, bathymetry/seafloor, cape, carolina, center, coastal, coastal relief, data, dem, DEM > Digital Elevation Model, depth, digital, earth, Earth Science > Land Surface > Topography > Terrain Elevation, Earth Science > Land Surface > Topography > Topographical Relief Maps, Earth Science > Oceans > Bathymetry/Seafloor Topography > Bathymetry, Earth Science > Oceans > Bathymetry/Seafloor Topography > Seafloor Topography, Earth Science > Oceans > Bathymetry/Seafloor Topography > Water Depth, Earth Science > Oceans > Coastal Processes > Coastal Elevation, elevation, environmental, gdal, geological, geophysical, gridded elevations, h: 1 meter - < 30 meters, hatteras, integrated bathymetry and topography, laboratory, land, latitude, longitude, maps, marine, mhw, model, national, ncei, nesdis, ngdc, noaa, north, nos, number, ocean, oceans, pacific, pmel, processes, relief, science, seafloor, service, states, statistics, surface, survey, terrain, topographical, topography, united, usgs, v: < 1 meter, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "Not to be used for navigation. Although these data are of high quality and useful for planning and modeling purposes, they are not suitable for navigation. For navigation, please refer to the NOS nautical chart series.; Produced by the NOAA National Geophysical Data Center. Not subject to copyright protection within the United States.; While every effort has been made to ensure that these data are accurate and reliable within the limits of the current state of the art, NOAA cannot assume liability for any damages caused by any errors or omissions in the data, nor as a result of the failure of the data to function on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.";
    String naming_authority "gov.noaa.ngdc.mgg.dem";
    Int32 node_offset 1;
    Float64 Northernmost_Northing 35.799999999970595;
    String product_version "First";
    String project "ICSU-WDS > International Council for Science - World Data System";
    String publisher_email "";
    String publisher_name "National Centers for Environmental Information";
    String publisher_type "institution";
    String publisher_url "";
    String references "Digital Elevation Model of Cape Hatteras, North Carolina: Procedures, Data Sources and Analysis";
    String source "NOS Hydrographic Surveys; Electronic Navigational Charts; Center for Coastal and Ocean Mapping/Joint Hydrographic Center; NCDEM-FPMP Topographic LiDAR; JALBTCX Coastal Topographic and Bathymetric LiDAR Surveys";
    String sourceUrl "";
    Float64 Southernmost_Northing 34.75;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions. These integrated bathymetric-topographic DEMs are used to support tsunami forecasting and modeling efforts at the NOAA Center for Tsunami Research, Pacific Marine Environmental Laboratory (PMEL). The DEMs are part of the tsunami forecast system SIFT (Short-term Inundation Forecasting for Tsunamis) currently being developed by PMEL for the NOAA Tsunami Warning Centers, and are used in the MOST (Method of Splitting Tsunami) model developed by PMEL to simulate tsunami generation, propagation, and inundation. Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. National Ocean Service (NOS), the U.S. Geological Survey (United States Geological Survey (USGS)), the U.S. Army Corps of Engineers (USACE), the Federal Emergency Management Agency (FEMA), and other federal, state, and local; government agencies, academic institutions, and private companies. DEMs are referenced to the vertical tidal datum of Mean High Water (MHW) and horizontal datum of World Geodetic System 1984 (WGS84). Grid spacings for the DEMs range from 1/3 arc-second (~10 meters) to 3 arc-seconds (~90 meters).";
    String title "Cape Hatteras, North Carolina Coastal Digital Elevation Model (cape hatteras 13 mhw 2006), 9.259259E-5°";
    Float64 Westernmost_Easting -76.05000000000001;


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{?query}
For example,[(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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