Make A Graph

Dataset Title:	Thane Road @ Snowslide Creek Avalanche Path MP 2.2
Institution:	Alaska Department of Transportation (AK-DOT) (Dataset ID: alaska-dot-rwis-250)
Range:	longitude = -134.36974 to -134.36974°E, latitude = 58.2812 to 58.2812°N, time = 2023-10-01T23:59:59Z to 2024-12-29T23:59:59Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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Constraints	Optional Constraint #1		Optional Constraint #2

Server-side Functions

distinct()

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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 {
  time {
    UInt32 _ChunkSizes 512;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.696204799e+9, 1.735516799e+9;
    String axis "T";
    String calendar "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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 58.2812, 58.2812;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -134.369739, -134.369739;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  z {
    UInt32 _ChunkSizes 328;
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "up";
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 0.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Altitude";
    String positive "up";
    String standard_name "altitude";
    String units "m";
  }
  lwe_thickness_of_precipitation_amount_cm_time__sum_over_p1d {
    UInt32 _ChunkSizes 512;
    Float64 _FillValue -9999.0;
    Float64 actual_range 0.0, 3.048;
    String ancillary_variables "lwe_thickness_of_precipitation_amount_cm_time__sum_over_p1d_qc_agg lwe_thickness_of_precipitation_amount_cm_time__sum_over_p1d_qc_tests";
    String cell_methods "time: sum (interval: 1 day)";
    String id "1111440";
    String ioos_category "Other";
    String long_name "Precipitation (accumulation)";
    Float64 missing_value -9999.0;
    String platform "station";
    String short_name "lwe_thickness_of_precipitation_amount";
    String standard_name "lwe_thickness_of_precipitation_amount";
    String standard_name_url "http://mmisw.org/ont/cf/parameter/lwe_thickness_of_precipitation_amount";
    String units "mm";
  }
  lwe_thickness_of_precipitation_amount_cm_time__sum_over_p1d_qc_agg {
    UInt32 _ChunkSizes 4096;
    Int32 _FillValue -127;
    Int32 actual_range 1, 3;
    String flag_meanings "PASS NOT_EVALUATED SUSPECT FAIL MISSING";
    Int32 flag_values 1, 2, 3, 4, 9;
    String ioos_category "Other";
    String long_name "Precipitation (accumulation) QARTOD Aggregate Quality Flag";
    Int32 missing_value -127;
    String short_name "lwe_thickness_of_precipitation_amount_qc_agg";
    String standard_name "aggregate_quality_flag";
  }
  lwe_thickness_of_precipitation_amount_cm_time__sum_over_p1d_qc_tests {
    UInt32 _ChunkSizes 512;
    Float64 _FillValue 0;
    String comment "11-character string with results of individual QARTOD tests. 1: Gap Test, 2: Syntax Test, 3: Location Test, 4: Gross Range Test, 5: Climatology Test, 6: Spike Test, 7: Rate of Change Test, 8: Flat-line Test, 9: Multi-variate Test, 10: Attenuated Signal Test, 11: Neighbor Test";
    String flag_meanings "PASS NOT_EVALUATED SUSPECT FAIL MISSING";
    Int32 flag_values 1, 2, 3, 4, 9;
    String ioos_category "Other";
    String long_name "Precipitation (accumulation) QARTOD Individual Tests";
    String short_name "lwe_thickness_of_precipitation_amount_qc_tests";
    String standard_name "quality_flag";
  }
  lwe_thickness_of_precipitation_amount {
    UInt32 _ChunkSizes 512;
    Float64 _FillValue -9999.0;
    Float64 actual_range 0.0, 89.916;
    String ancillary_variables "lwe_thickness_of_precipitation_amount_qc_agg lwe_thickness_of_precipitation_amount_qc_tests";
    String id "1111442";
    String ioos_category "Other";
    String long_name "Precipitation (accumulation)";
    Float64 missing_value -9999.0;
    String platform "station";
    String short_name "lwe_thickness_of_precipitation_amount";
    String standard_name "lwe_thickness_of_precipitation_amount";
    String standard_name_url "http://mmisw.org/ont/cf/parameter/lwe_thickness_of_precipitation_amount";
    String units "mm";
  }
  lwe_thickness_of_precipitation_amount_qc_agg {
    UInt32 _ChunkSizes 4096;
    Int32 _FillValue -127;
    Int32 actual_range 1, 3;
    String flag_meanings "PASS NOT_EVALUATED SUSPECT FAIL MISSING";
    Int32 flag_values 1, 2, 3, 4, 9;
    String ioos_category "Other";
    String long_name "Precipitation (accumulation) QARTOD Aggregate Quality Flag";
    Int32 missing_value -127;
    String short_name "lwe_thickness_of_precipitation_amount_qc_agg";
    String standard_name "aggregate_quality_flag";
  }
  lwe_thickness_of_precipitation_amount_qc_tests {
    UInt32 _ChunkSizes 512;
    Float64 _FillValue 0;
    String comment "11-character string with results of individual QARTOD tests. 1: Gap Test, 2: Syntax Test, 3: Location Test, 4: Gross Range Test, 5: Climatology Test, 6: Spike Test, 7: Rate of Change Test, 8: Flat-line Test, 9: Multi-variate Test, 10: Attenuated Signal Test, 11: Neighbor Test";
    String flag_meanings "PASS NOT_EVALUATED SUSPECT FAIL MISSING";
    Int32 flag_values 1, 2, 3, 4, 9;
    String ioos_category "Other";
    String long_name "Precipitation (accumulation) QARTOD Individual Tests";
    String short_name "lwe_thickness_of_precipitation_amount_qc_tests";
    String standard_name "quality_flag";
  }
  station {
    String cf_role "timeseries_id";
    String ioos_category "Identifier";
    String ioos_code "urn:ioos:station:com.axiomdatascience:130874";
    String long_name "Thane Road @ Snowslide Creek Avalanche Path MP 2.2";
    String short_name "alaska-dot-rwis-250";
    String type "fixed";
  }
 }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.7.4,hdf5=1.10.6";
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "station,longitude,latitude";
    String contributor_email "w-nws.webmaster@noaa.gov,feedback@axiomdatascience.com";
    String contributor_name "NOAA National Weather Service (NWS),Axiom Data Science";
    String contributor_role "contributor,processor";
    String contributor_role_vocabulary "NERC";
    String contributor_url "https://www.weather.gov/,https://www.axiomdatascience.com";
    String Conventions "IOOS-1.2, CF-1.6, ACDD-1.3";
    String creator_country "USA";
    String creator_email "dot.rwis.managers@alaska.gov";
    String creator_institution "Alaska Department of Transportation (AK-DOT)";
    String creator_name "Alaska Department of Transportation (AK-DOT)";
    String creator_sector "gov_state";
    String creator_type "institution";
    String creator_url "http://www.dot.state.ak.us/iways/roadweather/forms/IndexForm.html";
    String defaultDataQuery "lwe_thickness_of_precipitation_amount_cm_time__sum_over_p1d_qc_agg,lwe_thickness_of_precipitation_amount,z,lwe_thickness_of_precipitation_amount_cm_time__sum_over_p1d,time,lwe_thickness_of_precipitation_amount_qc_agg&time>=max(time)-3days";
    Float64 Easternmost_Easting -134.369739;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 58.2812;
    Float64 geospatial_lat_min 58.2812;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -134.369739;
    Float64 geospatial_lon_min -134.369739;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 0.0;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "up";
    String geospatial_vertical_units "m";
    String history 
"Downloaded from Alaska Department of Transportation (AK-DOT) at 
2024-12-30T15:39:11Z https://rwis3.dot.state.ak.us/sites/250
2024-12-30T15:39:11Z http://erddap.sensors.axds.co/tabledap/alaska-dot-rwis-250.das";
    Int32 id 130874;
    String infoUrl "https://sensors.ioos.us/#metadata/130874/station";
    String institution "Alaska Department of Transportation (AK-DOT)";
    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.";
    String naming_authority "com.axiomdatascience";
    Float64 Northernmost_Northing 58.2812;
    String platform "fixed";
    String platform_name "Thane Road @ Snowslide Creek Avalanche Path MP 2.2";
    String platform_vocabulary "http://mmisw.org/ont/ioos/platform";
    String processing_level "Level 2";
    String publisher_country "USA";
    String publisher_email "dot.rwis.managers@alaska.gov";
    String publisher_institution "Alaska Department of Transportation (AK-DOT)";
    String publisher_name "Alaska Department of Transportation (AK-DOT)";
    String publisher_sector "gov_state";
    String publisher_type "institution";
    String publisher_url "http://www.dot.state.ak.us/iways/roadweather/forms/IndexForm.html";
    String references "https://rwis3.dot.state.ak.us/sites/250,,";
    String sourceUrl "https://rwis3.dot.state.ak.us/sites/250";
    Float64 Southernmost_Northing 58.2812;
    String standard_name_vocabulary "CF Standard Name Table v72";
    String station_id "130874";
    String summary "Timeseries data from 'Thane Road @ Snowslide Creek Avalanche Path MP 2.2' (alaska-dot-rwis-250)";
    String time_coverage_end "2024-12-29T23:59:59Z";
    String time_coverage_start "2023-10-01T23:59:59Z";
    String title "Thane Road @ Snowslide Creek Avalanche Path MP 2.2";
    Float64 Westernmost_Easting -134.369739;
  }
}

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.

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