ERDDAP > tabledap > Data Access Form

Dataset Title:	Snow density, temperature, and hardness at Concordia Station, Antarctica
Institution:	Ca' Foscari University of Venice - Department of Environmental Sciences, Informatics and Statistics   (Dataset ID: snow_density_temperature_and_hardness_at_concordia_station_antarctica_qtndar)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
time (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2023-01-09T00:00:00Z	2025-06-12T00:00:00Z
T_0 (degC)	!= =~ <= >= = < >		!= =~ <= >= = < >		-74.8	-23.8
T_10 (degC)	!= =~ <= >= = < >		!= =~ <= >= = < >		-73.6	-27.0
T_20 (degC)	!= =~ <= >= = < >		!= =~ <= >= = < >		-72.1	-29.9
T_30 (degC)	!= =~ <= >= = < >		!= =~ <= >= = < >		-71.7	-30.7
T_40 (degC)	!= =~ <= >= = < >		!= =~ <= >= = < >		-70.3	-31.3
T_50 (degC)	!= =~ <= >= = < >		!= =~ <= >= = < >		-68.6	-31.7
T_60 (degC)	!= =~ <= >= = < >		!= =~ <= >= = < >		-66.9	-32.0
T_70 (degC)	!= =~ <= >= = < >		!= =~ <= >= = < >		-66.5	-33.7
T_80 (degC)	!= =~ <= >= = < >		!= =~ <= >= = < >		-65.8	-34.7
T_90 (degC)	!= =~ <= >= = < >		!= =~ <= >= = < >		-65.2	-34.9
T_100 (degC)	!= =~ <= >= = < >		!= =~ <= >= = < >		-64.8	-36.4
D_0 (kgm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		258.5	440.9
D_10 (kgm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		233.3	417.7
D_20 (kgm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		275.4	378.2
D_30 (kgm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		289.3	395.6
D_40 (kgm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		282.6	428.8
D_50 (kgm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		294.7	380.4
D_60 (kgm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		272.7	382.8
D_70 (kgm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		229.8	482.3
D_80 (kgm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		250.7	386.1
D_90 (kgm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		290.2	403.7
D_100 (kgm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		242.4	429.2
H_0	!= =~ <= >= = < >		!= =~ <= >= = < >		1.0	5.0
H_10	!= =~ <= >= = < >		!= =~ <= >= = < >		1.0	5.0
H_20	!= =~ <= >= = < >		!= =~ <= >= = < >		1.0	4.0
H_30	!= =~ <= >= = < >		!= =~ <= >= = < >		1.0	5.0
H_40	!= =~ <= >= = < >		!= =~ <= >= = < >		1.0	5.0
H_50	!= =~ <= >= = < >		!= =~ <= >= = < >		1.0	5.5
H_60	!= =~ <= >= = < >		!= =~ <= >= = < >		1.0	6.0
H_70	!= =~ <= >= = < >		!= =~ <= >= = < >		1.0	6.0
H_80	!= =~ <= >= = < >		!= =~ <= >= = < >		1.0	6.0
H_90	!= =~ <= >= = < >		!= =~ <= >= = < >		1.0	6.0
H_100	!= =~ <= >= = < >		!= =~ <= >= = < >		1.0	6.0
station_id	!= =~ <= >= = < >		!= =~ <= >= = < >		"snow_density_tempe..."	"snow_density_tempe..."
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		-75.1	-75.1
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		123.31	123.31

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" time T_0 T_10 T_20 T_30 T_40 T_50 T_60 T_70 T_80 T_90 T_100 D_0 D_10 D_20 D_30 D_40 D_50 D_60 D_70 D_80 D_90 D_100 H_0 H_10 H_20 H_30 H_40 H_50 H_60 H_70 H_80 H_90 H_100 station_id latitude longitude time T_0 T_10 T_20 T_30 T_40 T_50 T_60 T_70 T_80 T_90 T_100 D_0 D_10 D_20 D_30 D_40 D_50 D_60 D_70 D_80 D_90 D_100 H_0 H_10 H_20 H_30 H_40 H_50 H_60 H_70 H_80 H_90 H_100 station_id latitude longitude time T_0 T_10 T_20 T_30 T_40 T_50 T_60 T_70 T_80 T_90 T_100 D_0 D_10 D_20 D_30 D_40 D_50 D_60 D_70 D_80 D_90 D_100 H_0 H_10 H_20 H_30 H_40 H_50 H_60 H_70 H_80 H_90 H_100 station_id latitude longitude time T_0 T_10 T_20 T_30 T_40 T_50 T_60 T_70 T_80 T_90 T_100 D_0 D_10 D_20 D_30 D_40 D_50 D_60 D_70 D_80 D_90 D_100 H_0 H_10 H_20 H_30 H_40 H_50 H_60 H_70 H_80 H_90 H_100 station_id latitude longitude time T_0 T_10 T_20 T_30 T_40 T_50 T_60 T_70 T_80 T_90 T_100 D_0 D_10 D_20 D_30 D_40 D_50 D_60 D_70 D_80 D_90 D_100 H_0 H_10 H_20 H_30 H_40 H_50 H_60 H_70 H_80 H_90 H_100 station_id latitude longitude ")

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 1.6732224e+9, 1.7496864e+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";
  }
  T_0 {
    Float32 actual_range -74.8, -23.8;
    String long_name "T 0";
    String units "degC";
  }
  T_10 {
    Float32 actual_range -73.6, -27.0;
    String long_name "T 10";
    String units "degC";
  }
  T_20 {
    Float32 actual_range -72.1, -29.9;
    String long_name "T 20";
    String units "degC";
  }
  T_30 {
    Float32 actual_range -71.7, -30.7;
    String long_name "T 30";
    String units "degC";
  }
  T_40 {
    Float32 actual_range -70.3, -31.3;
    String long_name "T 40";
    String units "degC";
  }
  T_50 {
    Float32 actual_range -68.6, -31.7;
    String long_name "T 50";
    String units "degC";
  }
  T_60 {
    Float32 actual_range -66.9, -32.0;
    String long_name "T 60";
    String units "degC";
  }
  T_70 {
    Float32 actual_range -66.5, -33.7;
    String long_name "T 70";
    String units "degC";
  }
  T_80 {
    Float32 actual_range -65.8, -34.7;
    String long_name "T 80";
    String units "degC";
  }
  T_90 {
    Float32 actual_range -65.2, -34.9;
    String long_name "T 90";
    String units "degC";
  }
  T_100 {
    Float32 actual_range -64.8, -36.4;
    String long_name "T 100";
    String units "degC";
  }
  D_0 {
    Float32 actual_range 258.5, 440.9;
    String long_name "D 0";
    String units "kgm-3";
  }
  D_10 {
    Float32 actual_range 233.3, 417.7;
    String long_name "D 10";
    String units "kgm-3";
  }
  D_20 {
    Float32 actual_range 275.4, 378.2;
    String long_name "D 20";
    String units "kgm-3";
  }
  D_30 {
    Float32 actual_range 289.3, 395.6;
    String long_name "D 30";
    String units "kgm-3";
  }
  D_40 {
    Float32 actual_range 282.6, 428.8;
    String long_name "D 40";
    String units "kgm-3";
  }
  D_50 {
    Float32 actual_range 294.7, 380.4;
    String long_name "D 50";
    String units "kgm-3";
  }
  D_60 {
    Float32 actual_range 272.7, 382.8;
    String long_name "D 60";
    String units "kgm-3";
  }
  D_70 {
    Float32 actual_range 229.8, 482.3;
    String long_name "D 70";
    String units "kgm-3";
  }
  D_80 {
    Float32 _FillValue NaN;
    Float32 actual_range 250.7, 386.1;
    String long_name "D 80";
    String units "kgm-3";
  }
  D_90 {
    Float32 _FillValue NaN;
    Float32 actual_range 290.2, 403.7;
    String long_name "D 90";
    String units "kgm-3";
  }
  D_100 {
    Float32 _FillValue NaN;
    Float32 actual_range 242.4, 429.2;
    String long_name "D 100";
    String units "kgm-3";
  }
  H_0 {
    Float32 actual_range 1.0, 5.0;
    String long_name "H 0";
  }
  H_10 {
    Float32 actual_range 1.0, 5.0;
    String long_name "H 10";
  }
  H_20 {
    Float32 actual_range 1.0, 4.0;
    String long_name "H 20";
  }
  H_30 {
    Float32 actual_range 1.0, 5.0;
    String long_name "H 30";
  }
  H_40 {
    Float32 actual_range 1.0, 5.0;
    String long_name "H 40";
  }
  H_50 {
    Float32 actual_range 1.0, 5.5;
    String long_name "H 50";
  }
  H_60 {
    Float32 actual_range 1.0, 6.0;
    String long_name "H 60";
  }
  H_70 {
    Float32 actual_range 1.0, 6.0;
    String long_name "H 70";
  }
  H_80 {
    Float32 actual_range 1.0, 6.0;
    String long_name "H 80";
  }
  H_90 {
    Float32 actual_range 1.0, 6.0;
    String long_name "H 90";
  }
  H_100 {
    Float32 actual_range 1.0, 6.0;
    String long_name "H 100";
  }
  station_id {
    String actual_range 
"snow_density_temperature_and_hardness_at_concordia_station_antarctica_qtndar
snow_density_temperature_and_hardness_at_concordia_station_antarctica_qtndar";
    String cf_role "timeseries_id";
    String long_name "Id of the station in the TimeSeries";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -75.1, -75.1;
    String axis "Y";
    String ioos_category "Location";
    String long_name "latitude position of the station";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 123.31, 123.31;
    String axis "X";
    String ioos_category "Location";
    String long_name "longitude position of the station";
    String standard_name "longitude";
    String units "degrees_east";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "station_id,latitude,longitude";
    String contributor_email "barbara.stenni@unive.it";
    String contributor_institution "Ca' Foscari University of Venice - Department of Environmental Sciences, Informatics and Statistics";
    String contributor_name "Barbara Stenni";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String creator_email "claudio.stefanini@unive.it";
    String creator_name "Claudio Stefanini";
    String creator_type "person";
    String creator_url "https://www.unive.it/pag/28183";
    Float64 Easternmost_Easting 123.31;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max -75.1;
    Float64 geospatial_lat_min -75.1;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 123.31;
    Float64 geospatial_lon_min 123.31;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-01-13T10:00:00Z First upload of the dataset
2025-07-19T12:37:57Z (local files)
2025-07-19T12:37:57Z https://antarcticdatacenter.cnr.it/erddap/tabledap/snow_density_temperature_and_hardness_at_concordia_station_antarctica_qtndar.html";
    String infoUrl "https://www.pnra.aq/it/project/658/accurate-surface-measurements-different-parameters-interface-between-atmosphere-and";
    String institution "Ca' Foscari University of Venice - Department of Environmental Sciences, Informatics and Statistics";
    String keywords "Antarctica, Concordia, density, hardness, snow, temperature";
    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 -75.1;
    String publisher_name "National Antarctic Data Center";
    String publisher_type "group";
    String publisher_url "https://iandc.pnra.aq";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -75.1;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "This dataset reports the snow density, temperature and hardness observations from the surface to 1 m depth at the Concordia Station, Antarctica. A snow trench is dig once per month (or every three months during winter) in the clean area near the Station (< 1 km). The snow density measurements are taken inserting a core barrel (with a diameter of 4.5 cm and a length of 25 cm) horizontally into the snow every 10 cm from 0 to 1 m depth. The snow density is calculated from the weight. For each layer the temperature and the hardness (ranging from 1 to 6) are also recorded.";
    String testOutOfDate "now-33days";
    String time_coverage_end "2025-06-12T00:00:00Z";
    String time_coverage_start "2023-01-09T00:00:00Z";
    String title "Snow density, temperature, and hardness at Concordia Station, Antarctica";
    Float64 Westernmost_Easting 123.31;
  }
}

 

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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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