ERDDAP > tabledap > Data Access Form

Dataset Title:	AdriaClim Indicators | ARPAV | R95pDAY anomaly yearly 1992-2011
Institution:	ARPA Veneto   (Dataset ID: indicators_3687_f0cf_7520)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Subset | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum    or a List of Values	Maximum
time (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		1991-01-01 1992-01-01 1993-01-01 1994-01-01 1995-01-01 1996-01-01 1997-01-01 1998-01-01 1999-01-01 2000-01-01 2001-01-01 2002-01-01 2003-01-01 2004-01-01 2005-01-01 2006-01-01 2007-01-01 2008-01-01 2009-01-01 2010-01-01 2011-01-01 2012-01-01 2013-01-01 2014-01-01 2015-01-01 2016-01-01 2017-01-01 2018-01-01 2019-01-01 2020-01-01 2021-01-01 2022-01-01
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		44.91736 44.98946 44.9906 45.0157 45.02168 45.03103 45.03152 45.07116 45.07147 45.09316 45.14635 45.15928 45.24369 45.24778 45.34275 45.34737 45.43937 45.45874 45.49554 45.59474 45.60319 45.66844 45.67135 45.70494 45.74551 45.7757
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		11.30252 11.42278 11.42662 11.5295 11.57662 11.67712 11.67863 11.71267 11.72081 11.75216 11.91335 11.9222 11.95216 11.95775 12.00767 12.0997 12.11691 12.26177 12.27596 12.36909 12.48625 12.58849 12.70704 12.76124 12.89392 12.94667
Giorni_con_pioggia_intensa_R95pDAY_anomaly_1992_2011_gg	!= =~ <= >= = < >		!= =~ <= >= = < >		-4.83	6.7

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" time latitude longitude Giorni_con_pioggia_intensa_R95pDAY_anomaly_1992_2011_gg time latitude longitude Giorni_con_pioggia_intensa_R95pDAY_anomaly_1992_2011_gg time latitude longitude Giorni_con_pioggia_intensa_R95pDAY_anomaly_1992_2011_gg time latitude longitude Giorni_con_pioggia_intensa_R95pDAY_anomaly_1992_2011_gg time latitude longitude Giorni_con_pioggia_intensa_R95pDAY_anomaly_1992_2011_gg ")

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).

(Documentation / Bypass this form )
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 6.62688e+8, 1.6409952e+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 "1970-01-01";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 44.91736, 45.7757;
    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 11.30252, 12.94667;
    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";
  }
  Giorni_con_pioggia_intensa_R95pDAY_anomaly_1992_2011_gg {
    Float32 actual_range -4.83, 6.7;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum -10.0;
    String ioos_category "Time";
    String long_name "Giorni Con Pioggia Intensa R95p DAY Anomaly 1992 2011 [gg]";
  }
 }
  NC_GLOBAL {
    String adriaclim_dataset "indicator";
    String adriaclim_model "n.a.";
    String adriaclim_scale "pilot";
    String adriaclim_timeperiod "yearly";
    String adriaclim_type "anomaly";
    String cdm_data_type "Point";
    String Conventions "COARDS, CF-1.6, ACDD-1.3, NCCSV-1.2";
    String creator_name "ARPA Veneto";
    String creator_type "institution";
    String creator_url "https://www.arpa.veneto.it";
    Float64 Easternmost_Easting 12.94667;
    String featureType "Point";
    Float64 geospatial_lat_max 45.7757;
    Float64 geospatial_lat_min 44.91736;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 12.94667;
    Float64 geospatial_lon_min 11.30252;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-09-18T10:27:57Z (local files)
2024-09-18T10:27:57Z https://erddap-adriaclim.cmcc-opa.eu/erddap/tabledap/indicators_3687_f0cf_7520.html";
    String infoUrl "https://www.arpa.veneto.it";
    String institution "ARPA Veneto";
    String keywords "1992-2011, adriaclim, anomaly, arpa, arpav, con, data, day, giorni, Giorni_con_pioggia_intensa_R95pDAY_anomaly_1992_2011_gg, indicators, intensa, latitude, longitude, pioggia, r95p, r95pday, time, veneto, yearly";
    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.";
    Float64 Northernmost_Northing 45.7757;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 44.91736;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "time, longitude, latitude";
    String summary "AdriaClim Indicators | ARPAV | R95pDAY anomaly yearly 1992-2011";
    String time_coverage_end "2022-01-01";
    String time_coverage_start "1991-01-01";
    String title "AdriaClim Indicators | ARPAV | R95pDAY anomaly yearly 1992-2011";
    Float64 Westernmost_Easting 11.30252;
  }
}

 

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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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