ERDDAP > tabledap > Data Access Form

Dataset Title:	Atmospheric radon concentrations at Jungfraujoch
Institution:	Institute of Atmospheric Sciences and Climate   (Dataset ID: 8dc98f5d-7d8c-499c-8eef-c0923566a987)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
time (GMT Date Time, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2025-07-01T11:00:00Z	2025-07-30T06:49:00Z
Interval_lenght_s (Interval_lenght)	!= =~ <= >= = < >		!= =~ <= >= = < >		60	60
Samples_n (Samples)	!= =~ <= >= = < >		!= =~ <= >= = < >		120	120
Total_counts_n (Total_counts)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	57
Cpm_n (cpm)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	57
RadonValue_Bq_m3 (Radon Value, Bqm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	20.0
Measurement_uncertainty_Bq_m3 (Bqm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	12
Unit_Temperature (degree)	!= =~ <= >= = < >		!= =~ <= >= = < >		17.0	33.8
Temperature (degree)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	0
Umidity (%)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	0
Pressure_hPa (Pressure, Pa)	!= =~ <= >= = < >		!= =~ <= >= = < >		660.8	794.6
Ualim_V (Ualim, volt)	!= =~ <= >= = < >		!= =~ <= >= = < >		11.8	11.9
Upoe_V (Upoe, volt)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.6	0.6
Ubatt_V (Ubatt, volt)	!= =~ <= >= = < >		!= =~ <= >= = < >		11.8	11.9
NetworkStatus	!= =~ <= >= = < >		!= =~ <= >= = < >		0	1
Movements	!= =~ <= >= = < >		!= =~ <= >= = < >		1269864	52533608
DeltaP_Pa (Delta P, Pa)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	0
Pump_Supply_V (Pump_Supply, volt)	!= =~ <= >= = < >		!= =~ <= >= = < >		4.36	5.76
Marker	!= =~ <= >= = < >		!= =~ <= >= = < >		"Power Break"	"Power Break"
station_id	!= =~ <= >= = < >		!= =~ <= >= = < >		"atmospheric_radon_..."	"atmospheric_radon_..."
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		46.548058	46.548058
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		7.983889	7.983889

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" time Interval_lenght_s Samples_n Total_counts_n Cpm_n RadonValue_Bq_m3 Measurement_uncertainty_Bq_m3 Unit_Temperature Temperature Umidity Pressure_hPa Ualim_V Upoe_V Ubatt_V NetworkStatus Movements DeltaP_Pa Pump_Supply_V Marker station_id latitude longitude time Interval_lenght_s Samples_n Total_counts_n Cpm_n RadonValue_Bq_m3 Measurement_uncertainty_Bq_m3 Unit_Temperature Temperature Umidity Pressure_hPa Ualim_V Upoe_V Ubatt_V NetworkStatus Movements DeltaP_Pa Pump_Supply_V Marker station_id latitude longitude time Interval_lenght_s Samples_n Total_counts_n Cpm_n RadonValue_Bq_m3 Measurement_uncertainty_Bq_m3 Unit_Temperature Temperature Umidity Pressure_hPa Ualim_V Upoe_V Ubatt_V NetworkStatus Movements DeltaP_Pa Pump_Supply_V Marker station_id latitude longitude time Interval_lenght_s Samples_n Total_counts_n Cpm_n RadonValue_Bq_m3 Measurement_uncertainty_Bq_m3 Unit_Temperature Temperature Umidity Pressure_hPa Ualim_V Upoe_V Ubatt_V NetworkStatus Movements DeltaP_Pa Pump_Supply_V Marker station_id latitude longitude time Interval_lenght_s Samples_n Total_counts_n Cpm_n RadonValue_Bq_m3 Measurement_uncertainty_Bq_m3 Unit_Temperature Temperature Umidity Pressure_hPa Ualim_V Upoe_V Ubatt_V NetworkStatus Movements DeltaP_Pa Pump_Supply_V Marker 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).

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

 

---

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.7513676e+9, 1.75385814e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "GMT Date Time";
    String source_name "GMT_DateTime";
    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";
  }
  Interval_lenght_s {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 60, 60;
    String long_name "Interval_lenght";
  }
  Samples_n {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 120, 120;
    String long_name "Samples";
  }
  Total_counts_n {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 57;
    String long_name "Total_counts";
  }
  Cpm_n {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 57;
    String long_name "cpm";
  }
  RadonValue_Bq_m3 {
    Float32 _FillValue 127.0;
    Float32 actual_range 0.0, 20.0;
    String long_name "Radon Value";
    String units "Bqm-3";
  }
  Measurement_uncertainty_Bq_m3 {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 12;
    String long_name "Measurement_uncertainty";
    String units "Bqm-3";
  }
  Unit_Temperature {
    Float32 _FillValue NaN;
    Float32 actual_range 17.0, 33.8;
    String long_name "Unit_Temperature";
    String units "degree";
  }
  Temperature {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 0;
    String long_name "Temperature";
    String units "degree";
  }
  Umidity {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 0;
    String long_name "Umidity";
    String units "%";
  }
  Pressure_hPa {
    Float32 actual_range 660.8, 794.6;
    String long_name "Pressure";
    String units "Pa";
  }
  Ualim_V {
    Float64 actual_range 11.8, 11.9;
    String long_name "Ualim";
    String units "volt";
  }
  Upoe_V {
    Float64 actual_range 0.6, 0.6;
    String long_name "Upoe";
    String units "volt";
  }
  Ubatt_V {
    Float64 actual_range 11.8, 11.9;
    String long_name "Ubatt";
    String units "volt";
  }
  NetworkStatus {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 1;
    String long_name "Network Status";
  }
  Movements {
    Int32 _FillValue 2147483647;
    Int32 actual_range 1269864, 52533608;
    String long_name "Movements";
  }
  DeltaP_Pa {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 0;
    String long_name "Delta P";
    String units "Pa";
  }
  Pump_Supply_V {
    Float32 actual_range 4.36, 5.76;
    String long_name "Pump_Supply";
    String units "volt";
  }
  Marker {
    String long_name "Marker";
  }
  station_id {
    String actual_range 
"atmospheric_radon_rn_concentrations_at_jungfraujoch
atmospheric_radon_rn_concentrations_at_jungfraujoch";
    String cf_role "timeseries_id";
    String long_name "Id of the station in the TimeSeries";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 46.548058, 46.548058;
    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 7.983889, 7.983889;
    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 "alice.cavaliere@cnr.it";
    String contributor_institution "Institute of Polar Sciences";
    String contributor_name "Alice Cavaliere";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String creator_email "s.montaguti@isac.cnr.it";
    String creator_name "Simonetta Montaguti";
    Float64 Easternmost_Easting 7.983889;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 46.54806;
    Float64 geospatial_lat_min 46.54806;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 7.983889;
    Float64 geospatial_lon_min 7.983889;
    String geospatial_lon_units "degrees_east";
    String history 
"The data have been manually checked and cleaned of anomalies and erroneous values, which have been flagged as NaN. There have been anomalies with flow problems and low temperatures that have frozen the inlet.
2026-02-05T14:08:35Z (local files)
2026-02-05T14:08:35Z https://bo.isp.cnr.it/erddap/tabledap/8dc98f5d-7d8c-499c-8eef-c0923566a987.html";
    String infoUrl "https://www.isac.cnr.it/en/content/bologna";
    String institution "Institute of Atmospheric Sciences and Climate";
    String keywords "atmospheric, climate, jungfraujoch, radon concentrations";
    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 46.54806;
    String project "ITINERIS-ACTRIS Pilot National Access Programme (Project ID: ITINERIS-ACTRIS-0000000125).";
    String publisher_name "Institute of Polar Sciences (ISP-CNR)";
    String publisher_type "group";
    String publisher_url "https://www.isp.cnr.it";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 46.54806;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "The time series represents atmospheric radon concentrations measured every minute at the Jungfraujoch (JFJ) observatory, collected within the Transnational Access program of ITINERIS.";
    String testOutOfDate "now-139days";
    String time_coverage_end "2025-07-30T06:49:00Z";
    String time_coverage_start "2025-07-01T11:00:00Z";
    String title "Atmospheric radon concentrations at Jungfraujoch";
    Float64 Westernmost_Easting 7.983889;
  }
}

 

---

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.

 

---

ERDDAP, Version 2.24
Disclaimers | Privacy Policy | Contact