ERDDAP > tabledap > Data Access Form

Dataset Title:	Stazioni OMIRL (Osservatorio Meteo Idrologico della Regione Liguria), Osservazioni georiferite di parametri meteo-marini ed idrologici in tempo reale sulla Liguria, Stazioni a terra
Institution:	OMIRL   (Dataset ID: omirl_stazioni_terra)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
name	!= =~ <= >= = < >		!= =~ <= >= = < >		"Ameglia Foce Magra"	"Valle Armea - Ponte"
shortCode	!= =~ <= >= = < >		!= =~ <= >= = < >		"AMEFM"	"VAREN"
time (Valid Time GMT, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2024-06-13T08:30:00Z	2025-10-15T22:15:00Z
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		43.83551	44.43946
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		7.81883	9.9722
RAIN_1h	!= =~ <= >= = < >		!= =~ <= >= = < >
CUMUL_1h	!= =~ <= >= = < >		!= =~ <= >= = < >
RAIN_5m	!= =~ <= >= = < >		!= =~ <= >= = < >
CUMUL_5m	!= =~ <= >= = < >		!= =~ <= >= = < >
RAIN_7d	!= =~ <= >= = < >		!= =~ <= >= = < >
CUMUL_7d	!= =~ <= >= = < >		!= =~ <= >= = < >
RAIN_1d	!= =~ <= >= = < >		!= =~ <= >= = < >
CUMUL_1d	!= =~ <= >= = < >		!= =~ <= >= = < >
AIR_TEMP (air_temperature, degree_C)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	36.2
TMIN (air_temperature, degree_C)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	35.9
TMAX (air_temperature, degree_C)	!= =~ <= >= = < >		!= =~ <= >= = < >		1.4	36.4
RLEV (m)	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.81	7.7
ATMP (air_pressure)	!= =~ <= >= = < >		!= =~ <= >= = < >		990.8	1037.8
TENS (Battery voltage, V)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	14.6
municipality	!= =~ <= >= = < >		!= =~ <= >= = < >		"Ameglia"	"Sestri Levante"

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" name shortCode time latitude longitude RAIN_1h CUMUL_1h RAIN_5m CUMUL_5m RAIN_7d CUMUL_7d RAIN_1d CUMUL_1d AIR_TEMP TMIN TMAX RLEV ATMP TENS municipality name shortCode time latitude longitude RAIN_1h CUMUL_1h RAIN_5m CUMUL_5m RAIN_7d CUMUL_7d RAIN_1d CUMUL_1d AIR_TEMP TMIN TMAX RLEV ATMP TENS municipality name shortCode time latitude longitude RAIN_1h CUMUL_1h RAIN_5m CUMUL_5m RAIN_7d CUMUL_7d RAIN_1d CUMUL_1d AIR_TEMP TMIN TMAX RLEV ATMP TENS municipality name shortCode time latitude longitude RAIN_1h CUMUL_1h RAIN_5m CUMUL_5m RAIN_7d CUMUL_7d RAIN_1d CUMUL_1d AIR_TEMP TMIN TMAX RLEV ATMP TENS municipality name shortCode time latitude longitude RAIN_1h CUMUL_1h RAIN_5m CUMUL_5m RAIN_7d CUMUL_7d RAIN_1d CUMUL_1d AIR_TEMP TMIN TMAX RLEV ATMP TENS municipality ")

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).

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  name {
    String long_name "Name";
  }
  shortCode {
    String long_name "Short Code";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.7182674e+9, 1.7605665e+9;
    String axis "T";
    String calendar "Gregorian";
    String ioos_category "Time";
    String long_name "Valid Time GMT";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue 9.969209968386869e+36;
    Float64 actual_range 43.83551, 44.43946;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String latitude_reference_datum "geographical coordinates, WGS84 projection";
    String long_name "Latitude";
    String shape "TIME";
    String standard_name "latitude";
    String units "degrees_north";
    Float64 valid_max 90.0;
    Float64 valid_min -90.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue 9.969209968386869e+36;
    Float64 actual_range 7.81883, 9.9722;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String latitude_reference_datum "geographical coordinates, WGS84 projection";
    String long_name "Longitude";
    String shape "TIME";
    String standard_name "longitude";
    String units "degrees_east";
    Float64 valid_max 180.0;
    Float64 valid_min -180.0;
  }
  RAIN_1h {
    Float64 missing_value NaN;
  }
  CUMUL_1h {
    Float64 missing_value NaN;
  }
  RAIN_5m {
    Float64 missing_value NaN;
  }
  CUMUL_5m {
    Float64 missing_value NaN;
  }
  RAIN_7d {
    Float64 missing_value NaN;
  }
  CUMUL_7d {
    Float64 missing_value NaN;
  }
  RAIN_1d {
    Float64 missing_value NaN;
  }
  CUMUL_1d {
    Float64 missing_value NaN;
  }
  AIR_TEMP {
    Float64 actual_range 0.0, 36.2;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    Float64 missing_value NaN;
    String standard_name "air_temperature";
    String units "degree_C";
  }
  TMIN {
    Float64 actual_range 0.0, 35.9;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    Float64 missing_value NaN;
    String standard_name "air_temperature";
    String units "degree_C";
  }
  TMAX {
    Float64 actual_range 1.4, 36.4;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    Float64 missing_value NaN;
    String standard_name "air_temperature";
    String units "degree_C";
  }
  RLEV {
    Float64 _FillValue 9.969209968386869e+36;
    Float64 actual_range -0.81, 7.7;
    Float64 colorBarMaximum 2.0;
    Float64 colorBarMinimum -2.0;
    String long_name "Water surface height above a specific datum";
    Float64 missing_value NaN;
    String standard_name "sea_surface_height";
    String units "m";
  }
  ATMP {
    Float64 actual_range 990.8, 1037.8;
    Float64 colorBarMaximum 1050.0;
    Float64 colorBarMinimum 950.0;
    Float64 missing_value NaN;
    String standard_name "air_pressure";
  }
  TENS {
    Float64 _FillValue 9.969209968386869e+36;
    Float64 actual_range 0.0, 14.6;
    String long_name "Battery voltage";
    Float64 missing_value NaN;
    String units "V";
  }
  municipality {
    String long_name "Municipality";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Point";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String creator_name "OMIRL";
    String creator_type "institution";
    String creator_url "https://omirl.regione.liguria.it/";
    Float64 Easternmost_Easting 9.9722;
    String featureType "Point";
    Float64 geospatial_lat_max 44.43946;
    Float64 geospatial_lat_min 43.83551;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 9.9722;
    Float64 geospatial_lon_min 7.81883;
    String geospatial_lon_units "degrees_east";
    String history 
"2026-04-03T05:49:45Z https://omirl.regione.liguria.it/
2026-04-03T05:49:45Z https://erddap.s4raise.it/erddap/tabledap/omirl_stazioni_terra.html";
    String infoUrl "https://omirl.regione.liguria.it/";
    String institution "OMIRL";
    String institution_country "IT";
    String keywords "above, air, air_pressure, AIR_TEMP, air_temperature, amount, atmosphere, atmospheric, ATMP, battery, code, CUMUL_1d, CUMUL_1h, CUMUL_5m, CUMUL_7d, data, datum, day, days, della, earth, Earth Science > Atmosphere > Atmospheric Pressure > Atmospheric Pressure Measurements, Earth Science > Atmosphere > Atmospheric Pressure > Sea Level Pressure, Earth Science > Atmosphere > Atmospheric Pressure > Static Pressure, Earth Science > Atmosphere > Atmospheric Temperature > Air Temperature, Earth Science > Atmosphere > Atmospheric Temperature > Surface Air Temperature, Earth Science > Oceans > Sea Surface Topography > Sea Surface Height, fallen, georiferite, height, hour, idrologici, idrologico, latitude, level, liguria, longitude, marini, maximum, measurements, meteo, meteo-marini, minimum, minutes, municipality, name, ocean, oceans, omirl, osservatorio, osservazioni, parametri, precipitation, pressure, rain, RAIN_1d, RAIN_1h, RAIN_5m, RAIN_7d, rainfall, reale, regione, RLEV, science, sea, sea_surface_height, seawater, short, shortCode, specific, static, stazioni, sulla, sum, surface, temperature, tempo, TENS, terra, time, TMAX, TMIN, topography, voltage, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "CC-BY 4.0";
    Float64 Northernmost_Northing 44.43946;
    String references "https://omirl.regione.liguria.it/";
    String source "Osservazioni geo riferite registrate dai sensori al suolo";
    String sourceUrl "https://omirl.regione.liguria.it/";
    Float64 Southernmost_Northing 43.83551;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Stazioni OMIRL (Osservatorio Meteo Idrologico della Regione Liguria) - Osservazioni georiferite di parametri meteo-marini ed idrologici in tempo reale sulla Liguria - Stazioni a terra";
    String testOutOfDate "now-1day";
    String time_coverage_end "2025-10-15T22:15:00Z";
    String time_coverage_start "2024-06-13T08:30:00Z";
    String title "Stazioni OMIRL (Osservatorio Meteo Idrologico della Regione Liguria), Osservazioni georiferite di parametri meteo-marini ed idrologici in tempo reale sulla Liguria, Stazioni a terra";
    String variables "name, shortCode, time, latitude, longitude, RAIN_1h, CUMUL_1h, RAIN_5m, CUMUL_5m, RAIN_7d, CUMUL_7d, RAIN_1d, CUMUL_1d, AIR_TEMP, TMIN, TMAX, RLEV, ATMP, TENS, municipality";
    Float64 Westernmost_Easting 7.81883;
  }
}

 

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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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