ERDDAP > tabledap > Data Access Form

Dataset Title:	LTER_EU_IT_015_MEDA2 - CTD
Institution:	UNIGE-DISTAV   (Dataset ID: MEDA2_CTD_TEST)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
PLATFORMCODE	!= =~ <= >= = < >		!= =~ <= >= = < >		"LTER_EU_IT_015_MEDA2"	"LTER_EU_IT_015_MEDA2"
String_ID	!= =~ <= >= = < >		!= =~ <= >= = < >		"D"	"D"
time (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >
time_cet (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2023-07-04T14:45:19Z	2026-03-25T15:15:19Z
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		44.29667	44.29667
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		9.2295	9.2295
date	!= =~ <= >= = < >		!= =~ <= >= = < >		"01-01-2024"	"31-12-2025"
hour	!= =~ <= >= = < >		!= =~ <= >= = < >		"00:15:18.84"	"new*Svarv-"
Press	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.12	5.22
Temp (Temperature)	!= =~ <= >= = < >		!= =~ <= >= = < >		12.603	32.0
Cond	!= =~ <= >= = < >		!= =~ <= >= = < >		1.37	61.027
Sal (Sal.)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.618	38.514

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" PLATFORMCODE String_ID time time_cet latitude longitude date hour Press Temp Cond Sal PLATFORMCODE String_ID time time_cet latitude longitude date hour Press Temp Cond Sal PLATFORMCODE String_ID time time_cet latitude longitude date hour Press Temp Cond Sal PLATFORMCODE String_ID time time_cet latitude longitude date hour Press Temp Cond Sal PLATFORMCODE String_ID time time_cet latitude longitude date hour Press Temp Cond Sal ")

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). .parquet - Download as a parquet file. Metadata contains column names ("column_names") and units ("column_units"). .parquetWMeta - Download as a parquet file with detailed metadata. .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 {
  PLATFORMCODE {
    String actual_range 
"LTER_EU_IT_015_MEDA2
LTER_EU_IT_015_MEDA2";
  }
  String_ID {
    String long_name "String ID";
  }
  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";
  }
  time_cet {
    Float64 actual_range 1.68848191934e+9, 1.77445171918e+9;
    String ioos_category "Time";
    String long_name "Time Cet";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 44.29667, 44.29667;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 9.2295, 9.2295;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  date {
    String long_name "Date";
    String source_name "Date";
  }
  hour {
    String long_name "hour";
  }
  Press {
    Float32 actual_range -0.12, 5.22;
    String long_name "Press";
  }
  Temp {
    Float32 actual_range 12.603, 32.0;
    String long_name "Temperature";
  }
  Cond {
    Float32 actual_range 1.37, 61.027;
    String long_name "Cond";
  }
  Sal {
    Float32 actual_range 0.618, 38.514;
    String long_name "Sal.";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    Float64 Easternmost_Easting 9.2295;
    Float64 geospatial_lat_max 44.29667;
    Float64 geospatial_lat_min 44.29667;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 9.2295;
    Float64 geospatial_lon_min 9.2295;
    String geospatial_lon_units "degrees_east";
    String history 
"2026-04-03T05:47:38Z (local files)
2026-04-03T05:47:38Z https://erddap.s4raise.it/erddap/tabledap/MEDA2_CTD_TEST.html";
    String infoUrl "https://www.raiseliguria.it/spoke-3/";
    String institution "UNIGE-DISTAV";
    String keywords "adcp, Current, Portofino, sea surface velocity";
    String license "CC-BY 4.0";
    Float64 Northernmost_Northing 44.29667;
    String owner "UNIGE-DISTAV";
    String owner_url "https://distav.unige.it/";
    String projects "RAISE";
    String projects_url "https://www.raiseliguria.it/";
    String sensors "meteorological station at 7m amsl";
    String site_code "LTER_EU_IT_015";
    String site_DOI "https://zenodo.org/records/5235692";
    String site_name "LTER-Italy site Marine Area of Portofino Promontory - Italy";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 44.29667;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "LTER_EU_IT_015_MEDA2 - CTD";
    String title "LTER_EU_IT_015_MEDA2 - CTD";
    Float64 Westernmost_Easting 9.2295;
  }
}

 

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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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