Make A Graph

Dataset Title:	10.5066-P9Z0Z8DM - 11192Adwb-cal
Institution:	Coastal and Marine Hazards and Resources Program, U.S. Geological Survey (Dataset ID: 10_5066_P9Z0Z8DM_11192Adwb_cal_nc)
Range:	longitude = -74.98418 to -74.98418°E, latitude = 39.19536 to 39.19536°N, time = 2018-09-19T14:30:00Z to 2018-12-05T14:00:00Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Subset \| Data Access Form \| Files

To work correctly, this web page requires that JavaScript be enabled in your browser. Please:
1) Enable JavaScript in your browser:
      • Chrome: "Settings : Advanced : Privacy and security : Site Settings : JavaScript"
      • Firefox: (it should be always on!)"
      • Opera: "Settings : Websites : JavaScript"
      • Safari: "Safari : Preferences : Security : Enable JavaScript"
2) Reload this web page.

Graph Type:

X Axis:

Y Axis:

Color:

Constraints

Optional
Constraint #1

Optional
Constraint #2

Server-side Functions

distinct()

Hover here to see a list of options. Click on an option to select it.

Graph Settings

Marker Type:

Size:

Color:

Color Bar:

Continuity:

Scale:

Minimum:

Maximum:

N Sections:

Draw land mask:

Y Axis Minimum:

Maximum:

(Please be patient. It may take a while to get the data.)

Optional:
Then set the File Type: (File Type information)
and

or view the URL:
(Documentation / Bypass this form

)

Click on the map to specify a new center point.

Zoom:

Time range:

[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:

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_11192Adwb_cal_nc
10_5066_P9Z0Z8DM_11192Adwb_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 1.5373674e+9, 1.5440184e+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 62, 3754;
    String ioos_category "Other";
    String long_name "Burst number";
    Int32 maximum 3754;
    Int32 minimum 62;
    String units "1";
  }
  P_1 {
    UInt32 _ChunkSizes 1, 4096;
    Float64 actual_range 12.1490477, 14.9938944;
    Int32 epic_code 1;
    String FillValue "nan";
    String ioos_category "Other";
    String long_name "Uncorrected pressure";
    Float64 maximum 14.9938944;
    Float64 minimum 12.1490477;
    String note 
"2023-12-11T20:58:11.567446+00:00: Data clipped using bad_ens values of ['2018-11-02 00:59:00', '2018-11-02 03:29:00']. 
";
    String standard_name "sea_water_pressure";
    String units "dbar";
  }
  P_1ac {
    UInt32 _ChunkSizes 1, 4096;
    Float64 actual_range 1.9128130840942372, 5.022231984094239;
    String FillValue "nan";
    String ioos_category "Other";
    String long_name "Corrected pressure";
    Float64 maximum 5.022231984094239;
    Float64 minimum 1.9128130840942372;
    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).2023-12-11T20:58:11.608291+00:00: Data clipped using bad_ens values of ['2018-11-02 00:59:00', '2018-11-02 03:29:00']. 
";
    String standard_name "sea_water_pressure_due_to_sea_water";
    String units "dbar";
  }
  z {
    Float64 actual_range -3.471, -3.471;
    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 3.360271412452062, 3.360271412452062;
    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 -74.98418, -74.98418;
    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 0.014662415905760895;
    String basefile "055110_20181210_1552";
    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_CMNT "Burst 2147 beginning at 2018-11-02 01:00:00 was incomplete and duplicated at 2018-22-02 01:30:00. This burst was removed from raw .txt files. Burst 2148 beginning at 2018-11-02 03:00:00 was filled due to inaccurate pressure data. Final burst at 2018-12-05 14:30:00 was filled because recovery of equipment affected instrument data during that burst.";
    String DATA_ORIGIN "USGS WHCMSC Coastal and Estuarine Dynamics Group";
    String DATA_SUBTYPE "MOORED";
    Int32 DELTA_T 1800;
    String Deployment_date "2018-09-19 14:24";
    Float64 DEPTH_CONST 0.0;
    String DESCRIPTION "Thompsons Beach, New Jersey";
    Float64 DRIFTER 0.0;
    Float64 Easternmost_Easting -74.98418;
    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 "11192Adw";
    String fwtype "103";
    String fwversion "1.41";
    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 -74.98418;
    Float64 geospatial_lon_min -74.98418;
    String geospatial_lon_units "degrees_east";
    String good_dates 
"2018-09-19 14:24
2018-12-05 14:29:00";
    String good_dates_note "trimming last sample due to effects on data by recovery efforts";
    Float64 height_above_geopotential_datum -3.606;
    String history 
"2023-12-11T20:57:41.079842+00:00: Processed using csv2cdf.py with stglib 0.7.0+67.ga44417f, xarray 2022.12.0, NumPy 1.24.1, netCDF4 1.6.2, Python 3.11.0.
2023-12-11T20:58:11.405483+00:00: Data clipped using good_dates of ['2018-09-19 14:24', '2018-12-05 14:29:00'].
2023-12-11T20:58:11.720297+00:00: Processed to CF-1.6 using runrskcdf2nc.py.

2024-12-12T02:14:49Z (local files)
2024-12-12T02:14:49Z https://cmgds.marine.usgs.gov/tabledap/10_5066_P9Z0Z8DM_11192Adwb_cal_nc.das";
    String infoUrl "https://cmgds.marine.usgs.gov/ocean-time-series/";
    Float64 initial_instrument_height 0.135;
    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 -74.98418;
    Float64 magnetic_variation -11.98;
    String MOORING "1119A";
    String NCProperties "version=2,netcdf=4.8.1,hdf5=1.12.2";
    Float64 nominal_instrument_depth 3.3600000000000003;
    Float64 Northernmost_Northing 39.19536;
    String P_1_bad_ens 
"2018-11-02 00:59:00
2018-11-02 03:29:00";
    String P_1ac_bad_ens 
"2018-11-02 00:59:00
2018-11-02 03:29:00";
    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 "2018-12-05 14:36";
    Float64 sample_interval 0.25;
    String sample_mode "WAVE";
    Int32 samples_per_burst 4096;
    String SciPi "N. Ganju";
    String serial_number "55110";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 39.19536;
    String start_time "2018-09-19T14:30:00.000000000";
    String stop_time "2018-12-05T14:00:00.000000000";
    String subsetVariables "station_id";
    String summary "10.5066-P9Z0Z8DM - 11192Adwb-cal";
    String time_coverage_end "2018-12-05T14:00:00Z";
    String time_coverage_start "2018-09-19T14:30:00Z";
    String title "10.5066-P9Z0Z8DM - 11192Adwb-cal";
    Float64 VAR_FILL NaN;
    Float64 WATER_DEPTH 3.495;
    String WATER_DEPTH_NOTE "(meters), Mean water level from RBR D|wave data";
    String WATER_MASS "Delaware Bay";
    Float64 Westernmost_Easting -74.98418;
    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.