ERDDAP > tabledap > Make A Graph

Dataset Title:	Data produced by Stream Engine version 1.20.2 for CP01CNSP-SP001-10-PARADJ000- telemetered-parad_j_cspp_instrument
Institution:	Ocean Observatories Initiative   (Dataset ID: CP01CNSP-SP001-10-PARADJ000-parad_j_cspp_instrument-telemetered-deployment0004)
Range:	depth = 0.8305764 to 93.27239m, time = 2015-07-23T18:08:00Z to 2015-08-16T00:55:30Z
Information:	Summary | License | Metadata | Background | Data Access Form

 

Graph Type:  lines linesAndMarkers markers sticks X Axis:  obs parad_j_par_counts_output_qc_executed lat driver_timestamp par lon parad_j_par_counts_output_qc_results internal_timestamp profiler_timestamp ingestion_timestamp port_timestamp pressure deployment pressure_qc_results pressure_qc_executed suspect_timestamp parad_j_par_counts_output depth time Y Axis:  obs parad_j_par_counts_output_qc_executed lat driver_timestamp par lon parad_j_par_counts_output_qc_results internal_timestamp profiler_timestamp ingestion_timestamp port_timestamp pressure deployment pressure_qc_results pressure_qc_executed suspect_timestamp parad_j_par_counts_output depth time Color:  obs parad_j_par_counts_output_qc_executed lat driver_timestamp par lon parad_j_par_counts_output_qc_results internal_timestamp profiler_timestamp ingestion_timestamp port_timestamp pressure deployment pressure_qc_results pressure_qc_executed suspect_timestamp parad_j_par_counts_output depth time   Constraints Optional Constraint #1 Optional Constraint #2 obs parad_j_par_counts_output_qc_executed lat driver_timestamp id par provenance lon parad_j_par_counts_output_qc_results time_string internal_timestamp date_string profiler_timestamp ingestion_timestamp port_timestamp pressure deployment pressure_qc_results pressure_qc_executed preferred_timestamp suspect_timestamp parad_j_par_counts_output depth time     != =~ <= >= = < >     != =~ <= >= = < > obs parad_j_par_counts_output_qc_executed lat driver_timestamp id par provenance lon parad_j_par_counts_output_qc_results time_string internal_timestamp date_string profiler_timestamp ingestion_timestamp port_timestamp pressure deployment pressure_qc_results pressure_qc_executed preferred_timestamp suspect_timestamp parad_j_par_counts_output depth time     != =~ <= >= = < >     != =~ <= >= = < > obs parad_j_par_counts_output_qc_executed lat driver_timestamp id par provenance lon parad_j_par_counts_output_qc_results time_string internal_timestamp date_string profiler_timestamp ingestion_timestamp port_timestamp pressure deployment pressure_qc_results pressure_qc_executed preferred_timestamp suspect_timestamp parad_j_par_counts_output depth time     != =~ <= >= = < >     != =~ <= >= = < > obs parad_j_par_counts_output_qc_executed lat driver_timestamp id par provenance lon parad_j_par_counts_output_qc_results time_string internal_timestamp date_string profiler_timestamp ingestion_timestamp port_timestamp pressure deployment pressure_qc_results pressure_qc_executed preferred_timestamp suspect_timestamp parad_j_par_counts_output depth time     != =~ <= >= = < >     != =~ <= >= = < > obs parad_j_par_counts_output_qc_executed lat driver_timestamp id par provenance lon parad_j_par_counts_output_qc_results time_string internal_timestamp date_string profiler_timestamp ingestion_timestamp port_timestamp pressure deployment pressure_qc_results pressure_qc_executed preferred_timestamp suspect_timestamp parad_j_par_counts_output depth time     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean (" obs parad_j_par_counts_output_qc_executed lat driver_timestamp id par provenance lon parad_j_par_counts_output_qc_results time_string internal_timestamp date_string profiler_timestamp ingestion_timestamp port_timestamp pressure deployment pressure_qc_results pressure_qc_executed preferred_timestamp suspect_timestamp parad_j_par_counts_output depth time obs parad_j_par_counts_output_qc_executed lat driver_timestamp id par provenance lon parad_j_par_counts_output_qc_results time_string internal_timestamp date_string profiler_timestamp ingestion_timestamp port_timestamp pressure deployment pressure_qc_results pressure_qc_executed preferred_timestamp suspect_timestamp parad_j_par_counts_output depth time obs parad_j_par_counts_output_qc_executed lat driver_timestamp id par provenance lon parad_j_par_counts_output_qc_results time_string internal_timestamp date_string profiler_timestamp ingestion_timestamp port_timestamp pressure deployment pressure_qc_results pressure_qc_executed preferred_timestamp suspect_timestamp parad_j_par_counts_output depth time obs parad_j_par_counts_output_qc_executed lat driver_timestamp id par provenance lon parad_j_par_counts_output_qc_results time_string internal_timestamp date_string profiler_timestamp ingestion_timestamp port_timestamp pressure deployment pressure_qc_results pressure_qc_executed preferred_timestamp suspect_timestamp parad_j_par_counts_output depth time ")   Graph Settings Marker Type:  None Plus X Dot Square Filled Square Circle Filled Circle Up Triangle Filled Up Triangle  Size:  3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Color:  Color Bar:  BlackBlueWhite BlackGreenWhite BlackRedWhite BlackWhite BlueWhiteRed BlueWideWhiteRed LightRainbow Ocean OceanDepth Rainbow Rainbow2 Rainfall ReverseRainbow RedWhiteBlue RedWhiteBlue2 RedWideWhiteBlue Spectrum Topography TopographyDepth WhiteBlueBlack WhiteGreenBlack WhiteRedBlack WhiteBlack YellowRed KT_algae KT_amp KT_balance KT_curl KT_deep KT_delta KT_dense KT_gray KT_haline KT_ice KT_matter KT_oxy KT_phase KT_solar KT_speed KT_tempo KT_thermal KT_turbid  Continuity:  Continuous Discrete  Scale:  Linear Log    Minimum:   Maximum:   N Sections:  2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 Y Axis Minimum:   Maximum:    Ascending Descending Linear Log   Redraw the Graph (Please be patient. It may take a while to get the data.)   Optional: Then set the File Type: .asc .csv .csvp .csv0 .dataTable .das .dds .dods .esriCsv .fgdc .geoJson .graph .help .html .htmlTable .iso19115 .itx .json .jsonlCSV1 .jsonlCSV .jsonlKVP .mat .nc .ncHeader .ncCF .ncCFHeader .ncCFMA .ncCFMAHeader .nccsv .nccsvMetadata .ncoJson .odvTxt .subset .tsv .tsvp .tsv0 .wav .xhtml .kml .smallPdf .pdf .largePdf .smallPng .png .largePng .transparentPng (File Type information) and or view the URL: (Documentation / Bypass this form )

Time range:  1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 second(s) minute(s) hour(s) day(s) month(s) year(s)

 

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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.
   

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  obs {
    Int32 _ChunkSizes 1024;
    Int32 actual_range 0, 1368;
    String ioos_category "Unknown";
  }
  parad_j_par_counts_output_qc_executed {
    Int32 _ChunkSizes 1369;
    Int32 _FillValue -1;
    String _Unsigned "true";
    Int32 actual_range 29, 29;
    String coordinates "lat depth lon time";
    String ioos_category "Unknown";
  }
  lat {
    Int32 _ChunkSizes 457;
    Float32 _FillValue NaN;
    Float32 actual_range 40.13408, 40.13408;
    String axis "Y";
    String ioos_category "Unknown";
    String standard_name "latitude";
    String units "degrees_north";
  }
  driver_timestamp {
    Int32 _ChunkSizes 1369;
    Float64 actual_range 1.62766477e+9, 1.62766477e+9;
    String calendar "proleptic_gregorian";
    String comment "Driver timestamp, UTC";
    String coordinates "lat depth lon time";
    String ioos_category "Time";
    String long_name "Driver Timestamp, UTC";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  id {
    Int32 _ChunkSizes 1369, 36;
    String coordinates "lat depth lon time";
    String ioos_category "Unknown";
    String name "id";
  }
  par {
    Int32 _ChunkSizes 1369;
    Int32 _FillValue 0;
    String _Unsigned "true";
    Int32 actual_range 53, 13303;
    String comment "Photosynthetically Active Radiation (PAR) unprocessed sensor reading.";
    String coordinates "lat depth lon time";
    String data_product_identifier "OPTPARW_L0";
    String ioos_category "Unknown";
    String long_name "PAR Measurement";
    Int32 precision 0;
    String units "counts";
  }
  provenance {
    Int32 _ChunkSizes 1369, 36;
    String coordinates "lat depth lon time";
    String ioos_category "Unknown";
    String name "provenance";
  }
  lon {
    Int32 _ChunkSizes 457;
    Float32 _FillValue NaN;
    Float32 actual_range -70.77013, -70.77013;
    String axis "X";
    String ioos_category "Unknown";
    String standard_name "longitude";
    String units "degrees_east";
  }
  parad_j_par_counts_output_qc_results {
    Int32 _ChunkSizes 1369;
    Int32 _FillValue -1;
    String _Unsigned "true";
    Int32 actual_range 13, 29;
    String coordinates "lat depth lon time";
    String ioos_category "Unknown";
  }
  time_string {
    Int32 _ChunkSizes 1369, 8;
    String comment "Measurement time in string format";
    String coordinates "lat depth lon time";
    String ioos_category "Unknown";
    String long_name "Measurement Time, UTC";
    String units "1";
  }
  internal_timestamp {
    Int32 _ChunkSizes 1369;
    Float64 actual_range 1.43767488e+9, 1.43968653e+9;
    String calendar "proleptic_gregorian";
    String comment "Internal timestamp, UTC";
    String coordinates "lat depth lon time";
    String ioos_category "Time";
    String long_name "Internal Timestamp, UTC";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  date_string {
    Int32 _ChunkSizes 1369, 8;
    String comment "Measurement date in string format.";
    String coordinates "lat depth lon time";
    String ioos_category "Unknown";
    String long_name "Measurement Date, UTC";
    String units "1";
  }
  profiler_timestamp {
    Int32 _ChunkSizes 1369;
    Float64 actual_range 1.43767488e+9, 1.4396864e+9;
    String calendar "proleptic_gregorian";
    String comment "Timestamp in seconds since January 01, 1970 UTC.";
    String coordinates "lat depth lon time";
    String ioos_category "Time";
    String long_name "Surface-Piercing Profiler Timestamp, UTC";
    Int32 precision 0;
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  ingestion_timestamp {
    Int32 _ChunkSizes 1369;
    Float64 actual_range 1.62766477e+9, 1.62766477e+9;
    String calendar "proleptic_gregorian";
    String comment "The NTP Timestamp for when the granule was ingested";
    String coordinates "lat depth lon time";
    String ioos_category "Time";
    String long_name "Ingestion Timestamp, UTC";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  port_timestamp {
    Int32 _ChunkSizes 1369;
    Float64 actual_range -2.2089888e+9, -2.2089888e+9;
    String calendar "proleptic_gregorian";
    String comment "Port timestamp, UTC";
    String coordinates "lat depth lon time";
    String ioos_category "Time";
    String long_name "Port Timestamp, UTC";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  pressure {
    Int32 _ChunkSizes 1369;
    Float32 _FillValue -9999999.0;
    Float32 actual_range 0.837, 94.015;
    String alternate_parameter_name "pressure_depth";
    String comment "Seawater Pressure refers to the pressure exerted on a sensor in situ by the weight of the column of seawater above it. It is calculated by subtracting one standard atmosphere from the absolute pressure at the sensor to remove the weight of the atmosphere on top of the water column. The pressure reported is the CTD pressure recorded at the time of the sensor reading.";
    String coordinates "lat depth lon time";
    String ioos_category "Unknown";
    String long_name "CTD Seawater Pressure";
    Int32 precision 3;
    String standard_name "sea_water_pressure";
    String units "dbar";
  }
  deployment {
    Int32 _ChunkSizes 1369;
    Int32 actual_range 4, 4;
    String coordinates "lat depth lon time";
    String ioos_category "Unknown";
    String name "deployment";
  }
  pressure_qc_results {
    Int32 _ChunkSizes 1369;
    Int32 _FillValue -1;
    String _Unsigned "true";
    Int32 actual_range 1, 1;
    String alternate_parameter_name "pressure_depth_qc_results";
    String coordinates "lat depth lon time";
    String ioos_category "Unknown";
  }
  pressure_qc_executed {
    Int32 _ChunkSizes 1369;
    Int32 _FillValue -1;
    String _Unsigned "true";
    Int32 actual_range 1, 1;
    String alternate_parameter_name "pressure_depth_qc_executed";
    String coordinates "lat depth lon time";
    String ioos_category "Unknown";
  }
  preferred_timestamp {
    Int32 _ChunkSizes 1369, 18;
    String comment "Timestamp preferred as official record.";
    String coordinates "lat depth lon time";
    String ioos_category "Unknown";
    String long_name "Preferred Timestamp";
  }
  suspect_timestamp {
    Int32 _ChunkSizes 1369;
    Int32 _FillValue -99;
    Int32 actual_range 0, 1;
    String comment "Flag indicating a potential inaccuracy in the timestamp. No - 0, Yes - 1";
    String coordinates "lat depth lon time";
    String ioos_category "Unknown";
    String long_name "Suspect Timestamp";
    Int32 precision 0;
    String units "1";
  }
  parad_j_par_counts_output {
    Int32 _ChunkSizes 1369;
    Float32 _FillValue -1.0e+8;
    Float32 actual_range 0.0597943, 2192.319;
    String ancillary_variables "par";
    String comment "Photosynthetically Active Radiation (PAR) is the measure of the density of photons per unit area that are in the spectral range of light (400-700 nanometers) that primary producers use for photosynthesis.";
    String coordinates "lat depth lon time";
    String data_product_identifier "OPTPARW_L1";
    String ioos_category "Unknown";
    String long_name "Photosynthetically Active Radiation";
    Int32 precision 4;
    String standard_name "downwelling_photosynthetic_photon_flux_in_sea_water";
    String units "umol photons m-2 s-1";
  }
  depth {
    Int32 _ChunkSizes 457;
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 _FillValue -9999999.0;
    Float32 actual_range 0.8305764, 93.27239;
    String ancillary_variables "pressure";
    String axis "Z";
    String comment "Depth (m) calculated from pressure (dbar) and latitude.";
    String ioos_category "Location";
    String long_name "Depth calculated from pressure";
    String positive "down";
    Int32 precision 3;
    String standard_name "depth";
    String units "m";
  }
  time {
    Int32 _ChunkSizes 457;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.43767488e+9, 1.43968653e+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";
  }
 }
  NC_GLOBAL {
    String AssetManagementRecordLastModified "2022-09-02T13:10:27.693000";
    String AssetUniqueID "CGINS-PARADJ-00437";
    String cdm_data_type "Other";
    String collection_method "telemetered";
    String Conventions "CF-1.6, NCCSV-1.0";
    String creator_name "Ocean Observatories Initiative";
    String creator_url "http://oceanobservatories.org/";
    String date_created "2022-09-15T07:17:03.715Z";
    String date_modified "2022-09-15T07:17:03.715Z";
    String defaultDataQuery "lat,par,lon,time_string,date_string,pressure,parad_j_par_counts_output,depth,time&time>=max(time)-1days";
    String Description "Photosynthetically Available Radiation: PARAD Series J";
    String feature_Type "point";
    String FirmwareVersion "Not specified.";
    Float64 geospatial_lat_resolution 0.1;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_resolution 0.1;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 93.27239;
    Float64 geospatial_vertical_min 0.8305764;
    String geospatial_vertical_positive "down";
    Float64 geospatial_vertical_resolution 0.1;
    String geospatial_vertical_units "m";
    String history 
"2022-09-15T07:17:03.714986 generated from Stream Engine
2024-12-21T14:56:37Z http://oceanobservatories.org/
2024-12-21T14:56:37Z http://erddap-goldcopy.dataexplorer.oceanobservatories.org/tabledap/CP01CNSP-SP001-10-PARADJ000-parad_j_cspp_instrument-telemetered-deployment0004.das";
    String id "CP01CNSP-SP001-10-PARADJ000-telemetered-parad_j_cspp_instrument";
    String infoUrl "http://oceanobservatories.org/";
    String institution "Ocean Observatories Initiative";
    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 Manufacturer "WET Labs";
    String Metadata_Conventions "Unidata Dataset Discovery v1.0";
    String Mobile "False";
    String ModelNumber "ECO PARS";
    String naming_authority "org.oceanobservatories";
    String nodc_template_version "NODC_NetCDF_TimeSeries_Orthogonal_Template_v1.1";
    String node "SP001";
    String Notes "Not specified.";
    String Owner "Not specified.";
    String processing_level "L2";
    String project "Ocean Observatories Initiative";
    String publisher_name "Ocean Observatories Initiative";
    String publisher_url "http://oceanobservatories.org/";
    String references "More information can be found at http://oceanobservatories.org/";
    String RemoteResources "[]";
    String requestUUID "3551677a-c0b4-476e-8a46-28d3753a6412";
    String sensor "10-PARADJ000";
    String SerialNumber "437";
    String ShelfLifeExpirationDate "Not specified.";
    String SoftwareVersion "Not specified.";
    String source "CP01CNSP-SP001-10-PARADJ000-telemetered-parad_j_cspp_instrument";
    String sourceUrl "http://oceanobservatories.org/";
    String standard_name_vocabulary "NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29";
    String stream "parad_j_cspp_instrument";
    String subsite "CP01CNSP";
    String summary "Dataset Generated by Stream Engine from Ocean Observatories Initiative";
    String time_coverage_end "2015-08-16T00:55:30Z";
    String time_coverage_resolution "P1469.36S";
    String time_coverage_start "2015-07-23T18:08:00Z";
    String title "Data produced by Stream Engine version 1.20.2 for CP01CNSP-SP001-10-PARADJ000-telemetered-parad_j_cspp_instrument";
    String uuid "3551677a-c0b4-476e-8a46-28d3753a6412";
  }
}

 

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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 Data Access Protocol (DAP) and its selection constraints.

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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