ERDDAP > tabledap > Data Access Form

Dataset Title:	RV Sikuliaq : SENSOR_MIXED_10_ARCHIVE
Institution:	Oregon State University   (Dataset ID: sensor_mixed_10_archive)
Information:	Summary | License | Metadata | Background | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
time_raw (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >
time (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >
sensor_id (XXXXXX, none)	!= =~ <= >= = < >		!= =~ <= >= = < >
p3 (XXXXXX, m/s)	!= =~ <= >= = < >		!= =~ <= >= = < >
f3 (XXXXXX_status_flag, none)	!= =~ <= >= = < >		!= =~ <= >= = < >
p4 (XXXXXX, l/minute)	!= =~ <= >= = < >		!= =~ <= >= = < >
f4 (XXXXXX_status_flag, none)	!= =~ <= >= = < >		!= =~ <= >= = < >
p5 (XXXXXX, degrees_C)	!= =~ <= >= = < >		!= =~ <= >= = < >
f5 (XXXXXX_status_flag, none)	!= =~ <= >= = < >		!= =~ <= >= = < >
p6 (XXXXXXX, S/m)	!= =~ <= >= = < >		!= =~ <= >= = < >
f6 (XXXXXXX_status_flag, none)	!= =~ <= >= = < >		!= =~ <= >= = < >

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" time_raw time sensor_id p3 f3 p4 f4 p5 f5 p6 f6 time_raw time sensor_id p3 f3 p4 f4 p5 f5 p6 f6 time_raw time sensor_id p3 f3 p4 f4 p5 f5 p6 f6 time_raw time sensor_id p3 f3 p4 f4 p5 f5 p6 f6 time_raw time sensor_id p3 f3 p4 f4 p5 f5 p6 f6 ")

File type: (more information) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .dataTable - A JSON file formatted for use with the Google Visualization client library (Google Charts). .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .dods - OPeNDAP clients use this to download the data in the DODS binary format. .esriCsv - Download a ISO_8859_1 .csv file for ESRI's ArcGIS 9.x and below (separate date and time columns). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .geoJson - Download longitude,latitude,otherColumns data as a UTF-8 GeoJSON .json file. .graph - View a Make A Graph web page. .help - View a web page with a description of tabledap. .html - View an OPeNDAP-style HTML Data Access Form. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .iso19115 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each response column becomes a wave. .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .jsonlCSV1 - View a UTF-8 JSON Lines CSV file with column names on line 1 (mv = 'null'; times are ISO 8601 strings). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = 'null'; times are ISO 8601 strings). .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .mat - Download a MATLAB binary file. .nc - Download a flat, table-like, NetCDF-3 binary file with COARDS/CF/ACDD metadata. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .ncCF - Download a NetCDF-3 CF Discrete Sampling Geometries file (Contiguous Ragged Array). .ncCFHeader - View the UTF-8 header (the metadata) for the .ncCF file. .ncCFMA - Download a NetCDF-3 CF Discrete Sampling Geometries file (Multidimensional Array). .ncCFMAHeader - View the UTF-8 header (the metadata) for the .ncCFMA file. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .odvTxt - Download longitude,latitude,time,otherColumns as an ISO-8859-1 ODV Generic Spreadsheet File (.txt). .subset - View an HTML form which uses faceted search to simplify picking subsets of the data. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .wav - Download a .wav audio file. All columns must be numeric and of the same type. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. Times are ISO 8601 strings. .kml - View a .kml file, suitable for Google Earth. .smallPdf - View a small .pdf image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .smallPng - View a small .png image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .largePng - View a large .png image file with a graph or map. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend).

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time_raw {
    String ioos_category "Time";
    String long_name "Time Raw";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  time {
    String _CoordinateAxisType "Time";
    String axis "T";
    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";
  }
  sensor_id {
    String ioos_category "Identifier";
    String standard_name "xxxxxx";
    String units "none";
  }
  p3 {
    String ioos_category "Other";
    String sensor_description "Flowmeter Krohne_1487 : KROHNE, Inc.  Krohne Optiflux 5000 flow sensor A13021487 : Forward Stores";
    String standard_name "xxxxxx";
    String units "m/s";
  }
  f3 {
    String flag_notes "Flags of value 0: the QC test was not applicable. Flags of value 1: passed the QC test. Flags of value 2: quality was not evaluated or is unknown. Flags of value 3: quality is questionable/suspect or data are of high interest. Flags of value 4: failed the QC test. Flags of value 9: data are missing.";
    String flag_order "0:Gap Test, 1:Syntax Test, 2:Gross Range Test, 3:Global Range Test, 4:Local Range Test, 5:Sensor Status Test, 6:Pump On Flag, 7:Port Status Test, 8:Filter Blank Flag, 9:Derived Data Time Check, 10:Unused, 11:Unused, 12:Unused, 13:Unused, 14:Unused, 15:Unused, 16:Unused, 17:Unused, 18:Unused, 19:Unused, 20:Unused, 21:Unused, 22:Unused, 23:Unused, 24:Unused, 25:Unused, 26:Unused, 27:Unused, 28:Unused, 29:Unused,";
    String ioos_category "Other";
    String standard_name "xxxxxx_status_flag";
    String units "none";
  }
  p4 {
    String ioos_category "Other";
    String sensor_description "Flowmeter Krohne_1463 : KROHNE, Inc.  Krohne Optiflux 5000 flow sensor A13021463 : Main Lab / Wet Wall";
    String standard_name "xxxxxx";
    String units "l/minute";
  }
  f4 {
    String flag_notes "Flags of value 0: the QC test was not applicable. Flags of value 1: passed the QC test. Flags of value 2: quality was not evaluated or is unknown. Flags of value 3: quality is questionable/suspect or data are of high interest. Flags of value 4: failed the QC test. Flags of value 9: data are missing.";
    String flag_order "0:Gap Test, 1:Syntax Test, 2:Gross Range Test, 3:Global Range Test, 4:Local Range Test, 5:Sensor Status Test, 6:Pump On Flag, 7:Port Status Test, 8:Filter Blank Flag, 9:Derived Data Time Check, 10:Unused, 11:Unused, 12:Unused, 13:Unused, 14:Unused, 15:Unused, 16:Unused, 17:Unused, 18:Unused, 19:Unused, 20:Unused, 21:Unused, 22:Unused, 23:Unused, 24:Unused, 25:Unused, 26:Unused, 27:Unused, 28:Unused, 29:Unused,";
    String ioos_category "Other";
    String standard_name "xxxxxx_status_flag";
    String units "none";
  }
  p5 {
    String ioos_category "Other";
    String sensor_description "Flowmeter Krohne_1487 : KROHNE, Inc.  Krohne Optiflux 5000 flow sensor A13021487 : Forward Stores";
    String standard_name "xxxxxx";
    String units "degrees_C";
  }
  f5 {
    String flag_notes "Flags of value 0: the QC test was not applicable. Flags of value 1: passed the QC test. Flags of value 2: quality was not evaluated or is unknown. Flags of value 3: quality is questionable/suspect or data are of high interest. Flags of value 4: failed the QC test. Flags of value 9: data are missing.";
    String flag_order "0:Gap Test, 1:Syntax Test, 2:Gross Range Test, 3:Global Range Test, 4:Local Range Test, 5:Sensor Status Test, 6:Pump On Flag, 7:Port Status Test, 8:Filter Blank Flag, 9:Derived Data Time Check, 10:Unused, 11:Unused, 12:Unused, 13:Unused, 14:Unused, 15:Unused, 16:Unused, 17:Unused, 18:Unused, 19:Unused, 20:Unused, 21:Unused, 22:Unused, 23:Unused, 24:Unused, 25:Unused, 26:Unused, 27:Unused, 28:Unused, 29:Unused,";
    String ioos_category "Other";
    String standard_name "xxxxxx_status_flag";
    String units "none";
  }
  p6 {
    String ioos_category "Other";
    String sensor_description "Flowmeter Krohne_1487 : KROHNE, Inc.  Krohne Optiflux 5000 flow sensor A13021487 : Forward Stores";
    String standard_name "xxxxxxx";
    String units "S/m";
  }
  f6 {
    String flag_notes "Flags of value 0: the QC test was not applicable. Flags of value 1: passed the QC test. Flags of value 2: quality was not evaluated or is unknown. Flags of value 3: quality is questionable/suspect or data are of high interest. Flags of value 4: failed the QC test. Flags of value 9: data are missing.";
    String flag_order "0:Gap Test, 1:Syntax Test, 2:Gross Range Test, 3:Global Range Test, 4:Local Range Test, 5:Sensor Status Test, 6:Pump On Flag, 7:Port Status Test, 8:Filter Blank Flag, 9:Derived Data Time Check, 10:Unused, 11:Unused, 12:Unused, 13:Unused, 14:Unused, 15:Unused, 16:Unused, 17:Unused, 18:Unused, 19:Unused, 20:Unused, 21:Unused, 22:Unused, 23:Unused, 24:Unused, 25:Unused, 26:Unused, 27:Unused, 28:Unused, 29:Unused,";
    String ioos_category "Other";
    String standard_name "xxxxxxx_status_flag";
    String units "none";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String creator_name "Oregon State University";
    String creator_url "http://ceoas.oregonstate.edu";
    String history 
"2024-12-22T13:47:17Z (source database)
2024-12-22T13:47:17Z https://coriolix.sikuliaq.alaska.edu/erddap/tabledap/sensor_mixed_10_archive.html";
    String infoUrl "http://ceoas.oregonstate.edu";
    String institution "Oregon State University";
    String keywords "atmosphere, data, observations, ocean, vessel";
    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 sourceUrl "(source database)";
    String summary "RCRV CORIOLIX";
    String title "RV Sikuliaq : SENSOR_MIXED_10_ARCHIVE";
  }
}

 

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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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