ERDDAP > tabledap > Data Access Form

Dataset Title:	Technical data: EMSO-Azores Erreurs near real time data from the 2021-2022 deployment
Institution:	Ifremer, Institut Français de Recherche pour l'Exploitation de la Mer;Institute of Earth Physics of Paris (IPGP);La Rochelle University, Littoral Environment and Societies (LIENSS)   (Dataset ID: Erreurs_2021-2022)
Information:	Summary | License | Metadata | Background | Subset | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum    or a List of Values	Maximum
PLATFORM	!= =~ <= >= = < >		!= =~ <= >= = < >		"EXIF0001"	"EXIF0003"
time (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2021-06-08T16:00:01Z	2022-04-13T12:00:05Z
latitude2 (Latitude, degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		""
longitude2 (Longitude, degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		""
Source (Source (none))	!= =~ <= >= = < >		!= =~ <= >= = < >		31	79
Sms (Sms (none))	!= =~ <= >= = < >		!= =~ <= >= = < >		13	31369
SlotID (Slot ID (none))	!= =~ <= >= = < >		!= =~ <= >= = < >		8	11
Sensor_ident	!= =~ <= >= = < >		!= =~ <= >= = < >		0	255
Error_type	!= =~ <= >= = < >		!= =~ <= >= = < >		1	2
Value (Value (none))	!= =~ <= >= = < >		!= =~ <= >= = < >		0	1619525632
QC	!= =~ <= >= = < >		!= =~ <= >= = < >		"0000000000"

 

Server-side Functions

distinct()

orderBy orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean (" PLATFORM time latitude2 longitude2 Source Sms SlotID Sensor_ident Error_type Value QC PLATFORM time latitude2 longitude2 Source Sms SlotID Sensor_ident Error_type Value QC PLATFORM time latitude2 longitude2 Source Sms SlotID Sensor_ident Error_type Value QC PLATFORM time latitude2 longitude2 Source Sms SlotID Sensor_ident Error_type Value QC PLATFORM time latitude2 longitude2 Source Sms SlotID Sensor_ident Error_type Value QC ")

File type: (more info) .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).

(Documentation / Bypass this form )
 
Submit (Please be patient. It may take a while to get the data.)

 

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  PLATFORM {
    String ioos_category "Unknown";
    String long_name "PLATFORM";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.623168001e+9, 1.649851205e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "DATE (yyyy-mm-dd Thh:mi:ss Z)";
    String source_name "DATE (yyyy-mm-ddThh:mi:ssZ)";
    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";
  }
  latitude2 {
    String ioos_category "Location";
    String long_name "Latitude";
    String source_name "LATITUDE (degree_north)";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude2 {
    String ioos_category "Location";
    String long_name "Longitude";
    String source_name "LONGITUDE (degree_east)";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Source {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 31, 79;
    String ioos_category "Unknown";
    String long_name "Source (none)";
  }
  Sms {
    Int16 _FillValue 32767;
    Int16 actual_range 13, 31369;
    String ioos_category "Unknown";
    String long_name "Sms (none)";
  }
  SlotID {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 8, 11;
    String ioos_category "Identifier";
    String long_name "Slot ID (none)";
  }
  Sensor_ident {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 255;
    String ioos_category "Unknown";
    String long_name "Sensor Ident";
  }
  Error_type {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 2;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "Error Type";
  }
  Value {
    Int32 _FillValue 2147483647;
    Int32 actual_range 0, 1619525632;
    String ioos_category "Unknown";
    String long_name "Value (none)";
  }
  QC {
    String ioos_category "Quality";
    String long_name "QC";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String history 
"2024-11-23T08:10:04Z (local files)
2024-11-23T08:10:04Z https://erddap.emso-fr.org/erddap/tabledap/Erreurs_2021-2022.html";
    String infoUrl "???";
    String institution "Ifremer, Institut Français de Recherche pour l'Exploitation de la Mer;Institute of Earth Physics of Paris (IPGP);La Rochelle University, Littoral Environment and Societies (LIENSS)";
    String keywords "EMSO, EMSO Azores, Environmental monitoring, Environmental monitoring node, Geophysical data, Hydrothermal Vents, Lucky Strike, Marine imagery, Mid-Atlantic Ridge, MoMARSAT, Multidisciplinary data, TEMPO, Time-series";
    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 "latitude2, longitude2, QC";
    String summary "This dataset contains real-time data acquired from the EMSO-Azores observatory. Data are managed by the COSTOF2 (COmmunication and STOrage Front-end second generation), developed by Ifremer. It's a smart multisensor marine observation platform designed to suit a wide range of observation systems. The data is located on one of the three Infrastructure constituting Emso Acores site (Transmission buoy BOREL , SeaMoN West or SeaMoN East)";
    String time_coverage_end "2022-04-13T12:00:05Z";
    String time_coverage_start "2021-06-08T16:00:01Z";
    String title "Technical data: EMSO-Azores Erreurs near real time data from the 2021-2022 deployment";
  }
}

 

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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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