Make A Graph

Dataset Title:	10.5066-P9JTFJ6M - hooAtroll-a
Institution:	Coastal and Marine Hazards and Resources Program, U.S. Geological Survey (Dataset ID: 10_5066_P9JTFJ6M_hooAtroll_a_nc)
Range:	longitude = -123.14105 to -123.14105°E, latitude = 47.402813 to 47.402813°N, time = 2018-11-04T18:45:30Z to 2018-12-02T18:15:30Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Subset \| Data Access Form \| Files

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Graph Type:

X Axis:

Y Axis:

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Constraints

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Server-side Functions

distinct()

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

Graph Settings

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or view the URL:
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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_P9JTFJ6M_hooAtroll_a_nc
10_5066_P9JTFJ6M_hooAtroll_a_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 1.54135713e+9, 1.54377453e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  P_1ac {
    UInt32 _ChunkSizes 448;
    Float64 actual_range 3.817, 55.11;
    String FillValue "nan";
    String ioos_category "Other";
    String long_name "Pressure of water at pressure transducer";
    Float64 maximum 55.11;
    Float64 minimum 3.817;
    String note "Values filled using valid S_41 threshold. ";
    String units "kilopascal";
  }
  T_28 {
    UInt32 _ChunkSizes 448;
    Float64 actual_range 7.806, 11.756;
    String FillValue "nan";
    String ioos_category "Other";
    Float64 maximum 11.756;
    Float64 minimum 7.806;
    String note "Values filled using valid S_41 threshold. ";
    String standard_name "sea_water_temperature";
    String units "degree_C";
  }
  C_51 {
    UInt32 _ChunkSizes 448;
    Float64 actual_range 17308.789, 35335.539;
    String FillValue "nan";
    String ioos_category "Other";
    Float64 maximum 35335.539;
    Float64 minimum 17308.789;
    String note "Values filled using valid S_41 threshold. ";
    String standard_name "sea_water_electrical_conductivity";
    String units "uS cm-1";
  }
  S_41 {
    UInt32 _ChunkSizes 448;
    Float64 actual_range 14.870037826120534, 30.652460742304925;
    String FillValue "nan";
    String ioos_category "Other";
    Float64 maximum 30.652460742304925;
    Float64 minimum 14.870037826120534;
    String note "Values filled where less than 1.000000 units. ";
    String standard_name "sea_water_practical_salinity";
    String units "1";
  }
  depth_m {
    UInt32 _ChunkSizes 448;
    Float64 actual_range 0.38195002188915705, 5.492772675142708;
    String FillValue "nan";
    String ioos_category "Other";
    String long_name "Depth of pressure transducer below water surface";
    Float64 maximum 5.492772675142708;
    Float64 minimum 0.38195002188915705;
    String note "Values filled using valid S_41 threshold. ";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  waterlevel {
    UInt32 _ChunkSizes 448;
    Float64 actual_range -1.6690499781108432, 3.4417726751427082;
    String FillValue "nan";
    String ioos_category "Other";
    String long_name "Water level relative to NAVD88";
    Float64 maximum 3.4417726751427082;
    Float64 minimum -1.6690499781108432;
    String note "Values filled using valid S_41 threshold. ";
    String standard_name "sea_surface_height_above_geopotential_datum";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 47.4028137, 47.4028137;
    String axis "Y";
    Float64 epic_code 500;
    String FillValue "nan";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -123.1410499, -123.1410499;
    String axis "X";
    Float64 epic_code 502;
    String FillValue "nan";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
 }
  NC_GLOBAL {
    String basefile "hlidp`a-hoo1 2019-03-28 12-33-00";
    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";
    String DATA_SUBTYPE "MOORED";
    Float64 DELTA_T 900;
    String Deployment_date "2018-11-04 18:44";
    String DESCRIPTION "Hoodsport, El Puerto de Angeles 4 restaurant pier";
    Float64 Easternmost_Easting -123.1410499;
    Float64 elev_error 0.024;
    String elev_error_note "Estimate in m of uncertainty in elev_offset";
    Float64 elev_offset -2.051;
    String elev_offset_note "Offset in m between sensor elevation and NAVD88; used to compute water level relative to NAVD88";
    String EXPERIMENT "Puget Sound Water Levels";
    String experiment_name "10.5066-P9JTFJ6M";
    String featureType "TimeSeries";
    String filename "hooAtroll";
    Float64 geospatial_lat_max 47.4028137;
    Float64 geospatial_lat_min 47.4028137;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -123.1410499;
    Float64 geospatial_lon_min -123.1410499;
    String geospatial_lon_units "degrees_east";
    String history 
"Data clipped using Deployment_date of 2018-11-04 18:44 and Recovery_date of 2018-12-02 18:16. Processed using troll.py with stglib 0.2.2+35.g7091c93.dirty, xarray 0.20.0, NumPy 1.21.3, netCDF4 1.5.8, Python 3.8.12. 
2024-12-12T06:29:38Z (local files)
2024-12-12T06:29:38Z https://cmgds.marine.usgs.gov/tabledap/10_5066_P9JTFJ6M_hooAtroll_a_nc.das";
    String infoUrl "https://cmgds.marine.usgs.gov/ocean-time-series/";
    String INST_TYPE "Aqua TROLL 200";
    String institution "Coastal and Marine Hazards and Resources Program, U.S. Geological Survey";
    String institution_url "https://www.usgs.gov/centers/pcmsc";
    Float64 latitude 47.4028137;
    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 -123.1410499;
    String NCProperties "version=2,netcdf=4.8.1,hdf5=1.12.1";
    Float64 Northernmost_Northing 47.4028137;
    String PROJECT "USGS Coastal and Marine Geology Program";
    String publisher_url "https://www.usgs.gov";
    String Recovery_date "2018-12-02 18:16";
    Float64 S_41_min 1;
    String sample_interval "1.0 secs";
    Float64 samples_averaged 60.0;
    String SciPi "D. Nowacki";
    String serial_number "615691";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 47.4028137;
    String start_time "2018-11-04T18:45:30.000000000";
    String stop_time "2018-12-02T18:15:30.000000000";
    String subsetVariables "station_id";
    String summary "10.5066-P9JTFJ6M - hooAtroll-a";
    String time_coverage_end "2018-12-02T18:15:30Z";
    String time_coverage_start "2018-11-04T18:45:30Z";
    String title "10.5066-P9JTFJ6M - hooAtroll-a";
    String trim_by_S_41 "true";
    String type "Linear Average";
    Float64 WATER_DEPTH 4.6;
    String WATER_MASS "Hood Canal, WA";
    Float64 Westernmost_Easting -123.1410499;
  }
}

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.