Make A Graph

Dataset Title:	10.5066-P9Z0Z8DM - 11192Ddwb-cal
Institution:	Coastal and Marine Hazards and Resources Program, U.S. Geological Survey (Dataset ID: 10_5066_P9Z0Z8DM_11192Ddwb_cal_nc)
Range:	longitude = -74.98393 to -74.98393°E, latitude = 39.19536 to 39.19536°N, time = 2019-04-24T20:00:00Z to 2019-07-17T13:30:00Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Subset \| Data Access Form \| Files

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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:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  station_id {
    String actual_range 
"10_5066_P9Z0Z8DM_11192Ddwb_cal_nc
10_5066_P9Z0Z8DM_11192Ddwb_cal_nc";
    String cf_role "timeseries_id";
    String ioos_category "Identifier";
    String long_name "Station ID";
  }
  time {
    UInt32 _ChunkSizes 1024;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.556136e+9, 1.5633702e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    String ioos_category "Time";
    String long_name "time (UTC)";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  sample {
    Int32 actual_range 0, 4095;
    String ioos_category "Other";
    String long_name "sample number";
    String units "1";
  }
  burst {
    UInt32 _ChunkSizes 1, 4096;
    Int32 actual_range 25, 4044;
    String ioos_category "Other";
    String long_name "Burst number";
    Int32 maximum 4044;
    Int32 minimum 25;
    String units "1";
  }
  P_1 {
    UInt32 _ChunkSizes 1, 4096;
    Float64 actual_range 12.1701817, 14.8897243;
    Int32 epic_code 1;
    String FillValue "nan";
    String ioos_category "Other";
    String long_name "Uncorrected pressure";
    Float64 maximum 14.8897243;
    Float64 minimum 12.1701817;
    String standard_name "sea_water_pressure";
    String units "dbar";
  }
  P_1ac {
    UInt32 _ChunkSizes 1, 4096;
    Float64 actual_range 2.0563963939819345, 4.717582793981933;
    String FillValue "nan";
    String ioos_category "Other";
    String long_name "Corrected pressure";
    Float64 maximum 4.743459793981932;
    Float64 minimum 2.0563963939819345;
    String note 
"Corrected for variations in atmospheric pressure using Cape May, NJ NOAA met station (ID: 8536110, located ~25 km from site). Missing atmospheric pressure data at station 8536110 was filled by data from NOAA stations Brandywine Shoal Light (ID: 8555889, located ~25 km from site) and Lewes, DE (ID: 8557380, located ~47 km from site).2023-12-12T14:50:52.606132+00:00: Values in bursts filled where difference between 5-point median filter and original values is greater than 0.04; 224 values affected. 
";
    String standard_name "sea_water_pressure_due_to_sea_water";
    String units "dbar";
  }
  z {
    Float64 actual_range -3.4789999999999996, -3.4789999999999996;
    String axis "Z";
    String geopotential_datum_name "NAVD88";
    String ioos_category "Other";
    String long_name "height relative to NAVD88";
    String positive "up";
    String standard_name "height";
    String units "m";
  }
  depth_m {
    Float64 actual_range 3.367956082940896, 3.367956082940896;
    String ioos_category "Other";
    String long_name "depth below mean sea level";
    String positive "down";
    String standard_name "depth_below_geoid";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 39.19536, 39.19536;
    String axis "Y";
    Int32 epic_code 500;
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -74.98393, -74.98393;
    String axis "X";
    Int32 epic_code 502;
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
 }
  NC_GLOBAL {
    String atmospheric_pressure_correction_file "atmpres.cdf";
    Float64 atmospheric_pressure_correction_offset_applied -0.015214693981933536;
    String basefile "1119D_dwav";
    Float64 burst_interval 1800.0;
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "station_id";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String COORD_SYSTEM "GEOGRAPHIC";
    String creator_url "https://www.usgs.gov";
    String DATA_ORIGIN "USGS WHCMSC Coastal and Estuarine Dynamics Group";
    String DATA_SUBTYPE "MOORED";
    Int32 DELTA_T 1800;
    String Deployment_date "2019-04-24 19:41";
    Float64 DEPTH_CONST 0.0;
    String DESCRIPTION "Thompsons Beach, New Jersey";
    Float64 DRIFTER 0.0;
    Float64 Easternmost_Easting -74.98393;
    String EXPERIMENT "NFWF - Hurricane Sandy Coastal Resiliency Program: Marsh Sediment Flux";
    String experiment_name "10.5066-P9Z0Z8DM";
    String featureType "TimeSeries";
    String Field_Activity_Number "2018-048-FA, 2018-056-FA, 2018-059-FA, 2019-006-FA, 2019-016-FA, 2019-023-FA, 2019-028-FA, 2019-036-FA, 2022-013-FA, 2023-015-FA, 2023-016-FA";
    String filename "11192Ddw";
    String fwtype "103";
    String fwversion "1.4";
    String geopotential_datum_name "NAVD88";
    String geopotential_datum_note "Elevation at seabed using VDatum with LMSL and GEOID18";
    Float64 geospatial_lat_max 39.19536;
    Float64 geospatial_lat_min 39.19536;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -74.98393;
    Float64 geospatial_lon_min -74.98393;
    String geospatial_lon_units "degrees_east";
    Float64 height_above_geopotential_datum -3.627;
    String history 
"2023-12-12T14:50:03.984910+00:00: Processed using csv2cdf.py with stglib 0.7.0+74.g79fa38f, xarray 2022.12.0, NumPy 1.24.1, netCDF4 1.6.2, Python 3.11.0.
2023-12-12T14:50:35.775339+00:00: Data clipped using Deployment_date of 2019-04-24 19:41 and Recovery_date of 2019-07-17 13:30.
2023-12-12T14:50:52.606132+00:00: Processed to CF-1.6 using runrskcdf2nc.py.

2024-12-12T01:59:52Z (local files)
2024-12-12T01:59:52Z https://cmgds.marine.usgs.gov/tabledap/10_5066_P9Z0Z8DM_11192Ddwb_cal_nc.das";
    String infoUrl "https://cmgds.marine.usgs.gov/ocean-time-series/";
    Float64 initial_instrument_height 0.148;
    String initial_instrument_height_note "From seabed (meters)";
    String institution "Coastal and Marine Hazards and Resources Program, U.S. Geological Survey";
    String institution_url "https://woodshole.er.usgs.gov";
    String instrument_type "RBRvirtuoso";
    Float64 latitude 39.19536;
    String LatLonDatum "NAD83";
    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 longitude -74.98393;
    Float64 magnetic_variation -11.96;
    String MOORING "1119D";
    String NCProperties "version=2,netcdf=4.8.1,hdf5=1.12.2";
    Float64 nominal_instrument_depth 3.368;
    Float64 Northernmost_Northing 39.19536;
    Float64 P_1ac_med_diff 0.04;
    String P_1ac_note "Corrected for variations in atmospheric pressure using Cape May, NJ NOAA met station (ID: 8536110, located ~25 km from site). Missing atmospheric pressure data at station 8536110 was filled by data from NOAA stations Brandywine Shoal Light (ID: 8555889, located ~25 km from site) and Lewes, DE (ID: 8557380, located ~47 km from site).";
    String platform_type "Grated Fiberglass Bottom Lander";
    Float64 POS_CONST 0.0;
    String PROJECT "USGS Coastal and Marine Hazards and Resources Program";
    String publisher_url "https://www.usgs.gov";
    String Recovery_date "2019-07-17 13:30";
    Float64 sample_interval 0.25;
    String sample_mode "WAVE";
    Int32 samples_per_burst 4096;
    String SciPi "N. Ganju";
    String serial_number "55170";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 39.19536;
    String start_time "2019-04-24T20:00:00.000000000";
    String stop_time "2019-07-17T13:30:00.000000000";
    String subsetVariables "station_id";
    String summary "10.5066-P9Z0Z8DM - 11192Ddwb-cal";
    String time_coverage_end "2019-07-17T13:30:00Z";
    String time_coverage_start "2019-04-24T20:00:00Z";
    String title "10.5066-P9Z0Z8DM - 11192Ddwb-cal";
    Float64 VAR_FILL NaN;
    Float64 WATER_DEPTH 3.516;
    String WATER_DEPTH_NOTE "(meters), Mean water level from RBR D|wave data";
    String WATER_MASS "Delaware Bay";
    Float64 Westernmost_Easting -74.98393;
    Float64 wh_min 0.02;
    Int32 wp_max 64;
    Int32 wp_ratio 2;
  }
}

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.

(easy) You can get data by using the dataset's Data Access Form or Subset form. They make 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.

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.