ERDDAP > tabledap > Data Access Form

Dataset Title:	EMSO Western Ligurian : Albatross mooring, MICROCAT sensor (CSV 2018-2019)
Institution:	MIO UMR 7294 CNRS / OSU Pytheas   (Dataset ID: Emso_Western_Ligurian_Albatross_Microcat_CSV_2018)
Information:	Summary | License | Metadata | Background | Subset | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum    or a List of Values	Maximum
time (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2018-05-01T23:31:39Z	2019-10-01T20:11:06Z
TIME_QC	!= =~ <= >= = < >		!= =~ <= >= = < >		2
CNDC	!= =~ <= >= = < >		!= =~ <= >= = < >		4.436161	4.613998
DEPH	!= =~ <= >= = < >		!= =~ <= >= = < >		450.0 650.0 800.0 1000.0 1200.0 1450.0 1700.0 2000.0 2200.0 2400.0
CNDC_QC	!= =~ <= >= = < >		!= =~ <= >= = < >		2
PRES (Pressure)	!= =~ <= >= = < >		!= =~ <= >= = < >		50.955	2397.653
DENS	!= =~ <= >= = < >		!= =~ <= >= = < >		28.2895	29.1439
DENS_QC	!= =~ <= >= = < >		!= =~ <= >= = < >		2
PRES_QC	!= =~ <= >= = < >		!= =~ <= >= = < >		2
TEMP (Temperature)	!= =~ <= >= = < >		!= =~ <= >= = < >		13.1477	14.0251
TEMP_QC	!= =~ <= >= = < >		!= =~ <= >= = < >		2
TPOT	!= =~ <= >= = < >		!= =~ <= >= = < >		12.9059	13.956
PSAL	!= =~ <= >= = < >		!= =~ <= >= = < >		37.5176	38.7235
OSAT	!= =~ <= >= = < >		!= =~ <= >= = < >		246.16245	251.41494
OSAT_QC	!= =~ <= >= = < >		!= =~ <= >= = < >		2
DOX1	!= =~ <= >= = < >		!= =~ <= >= = < >		164.21	430.99
DOX2	!= =~ <= >= = < >		!= =~ <= >= = < >		159.57	418.84
DOX_QC	!= =~ <= >= = < >		!= =~ <= >= = < >		2 127

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" time TIME_QC CNDC DEPH CNDC_QC PRES DENS DENS_QC PRES_QC TEMP TEMP_QC TPOT PSAL OSAT OSAT_QC DOX1 DOX2 DOX_QC time TIME_QC CNDC DEPH CNDC_QC PRES DENS DENS_QC PRES_QC TEMP TEMP_QC TPOT PSAL OSAT OSAT_QC DOX1 DOX2 DOX_QC time TIME_QC CNDC DEPH CNDC_QC PRES DENS DENS_QC PRES_QC TEMP TEMP_QC TPOT PSAL OSAT OSAT_QC DOX1 DOX2 DOX_QC time TIME_QC CNDC DEPH CNDC_QC PRES DENS DENS_QC PRES_QC TEMP TEMP_QC TPOT PSAL OSAT OSAT_QC DOX1 DOX2 DOX_QC time TIME_QC CNDC DEPH CNDC_QC PRES DENS DENS_QC PRES_QC TEMP TEMP_QC TPOT PSAL OSAT OSAT_QC DOX1 DOX2 DOX_QC ")

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 {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.525217499e+9, 1.569960666e+9;
    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 time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  TIME_QC {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 2, 2;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Quality";
    String long_name "TIME QC";
  }
  CNDC {
    Float32 actual_range 4.436161, 4.613998;
    String ioos_category "Unknown";
    String long_name "CNDC";
  }
  DEPH {
    Float32 actual_range 450.0, 2400.0;
    String ioos_category "Unknown";
    String long_name "DEPH";
  }
  CNDC_QC {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 2, 2;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Quality";
    String long_name "CNDC QC";
  }
  PRES {
    Float32 actual_range 50.955, 2397.653;
    String ioos_category "Pressure";
    String long_name "Pressure";
  }
  DENS {
    Float32 actual_range 28.2895, 29.1439;
    String ioos_category "Unknown";
    String long_name "DENS";
  }
  DENS_QC {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 2, 2;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Quality";
    String long_name "DENS QC";
  }
  PRES_QC {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 2, 2;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Quality";
    String long_name "PRES QC";
  }
  TEMP {
    Float32 actual_range 13.1477, 14.0251;
    String ioos_category "Temperature";
    String long_name "Temperature";
  }
  TEMP_QC {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 2, 2;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Quality";
    String long_name "TEMP QC";
  }
  TPOT {
    Float32 actual_range 12.9059, 13.956;
    String ioos_category "Unknown";
    String long_name "TPOT";
  }
  PSAL {
    Float32 actual_range 37.5176, 38.7235;
    String ioos_category "Unknown";
    String long_name "PSAL";
  }
  OSAT {
    Float64 actual_range 246.16245, 251.41494;
    String ioos_category "Unknown";
    String long_name "OSAT";
  }
  OSAT_QC {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 2, 2;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Quality";
    String long_name "OSAT QC";
  }
  DOX1 {
    Float32 actual_range 164.21, 430.99;
    String ioos_category "Unknown";
    String long_name "DOX1";
  }
  DOX2 {
    Float32 actual_range 159.57, 418.84;
    String ioos_category "Unknown";
    String long_name "DOX2";
  }
  DOX_QC {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 2, 2;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Quality";
    String long_name "DOX QC";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "MIO UMR 7294 CNRS / OSU Pytheas";
    String creator_type "institution";
    String creator_url "http://www.emso-fr.org/EMSO-France";
    String history 
"2024-11-21T08:52:26Z (local files)
2024-11-21T08:52:26Z http://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_CSV_2018.html";
    String infoUrl "http://www.emso-fr.org/EMSO-France";
    String institution "MIO UMR 7294 CNRS / OSU Pytheas";
    String keywords "2018-2019, albatross, cndc, CNDC_QC, cnrs, conductivity, csv, ctd, data, dens, DENS_QC, deph, depth, dox, dox1, dox2, DOX_QC, emso, ligurian, microcat, mio, mooring, oregon, osat, OSAT_QC, osu, pres, PRES_QC, pressure, psal, pytheas, quality, sensor, sonde, state, TEMP, TEMP_QC, temperature, time, TIME_QC, tpot, umr, university, western";
    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 "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "TIME_QC, DEPH, CNDC_QC, DENS_QC, PRES_QC, TEMP_QC, OSAT_QC, DOX_QC";
    String summary "The European Multidisciplinary Seafloor and water column Observatory (EMSO) is a research infrastructure distributed throughout Europe for seabed and water column observatories. It aims to further explore the oceans, better understand the phenomena that occur on the seabed, and elucidate the critical role that these phenomena play in global Earth systems. This observatory is based on observation sites (or nodes) that have been deployed in strategic locations in European seas, from the Arctic to the Atlantic, from the Mediterranean to the Black Sea. There are currently eleven deep water nodes plus four shallow water test nodes. EMSO Western Ligurian is one of these permanent underwater observatories located in the Ligurian Sea and is deployed off Toulon, France. This region was chosen for its particular scientific interests such as: seismicity, topography, turbidity, biodiversity, water mass dynamics and organic matter flow. This underwater observation network is also part of KM3NeT (https://www.km3net.org/) which has a modular topology designed to connect up to 120 neutrino detection units. Earth and Sea Science (ESS) instrumentation connected to KM3NeT is based on two complementary components: an instrumented interface module (MII) and an autonomous instrumented line (ALBATROSS). The ALBATROSS line is an inductive line (2000 m) composed of an acoustic communication system, two inductive cables equipped with Conductivity, Temperature, Depth (CTD)-O2 sensors, current meters and two instrumented buoys. This line is deployed at a distance of 2-3 kilometers from the MII, and communication on land is done by an acoustic link with the MII, and electro-optical cable via the KM3NeT node.";
    String time_coverage_end "2019-10-01T20:11:06Z";
    String time_coverage_start "2018-05-01T23:31:39Z";
    String title "EMSO Western Ligurian : Albatross mooring, MICROCAT sensor (CSV 2018-2019)";
  }
}

 

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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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