ERDDAP > tabledap > Data Access Form

Dataset Title:	GVB Sulphate apportionment in PM10
Institution:	University of Florence - Italy   (Dataset ID: traversi_nya_gvb_pm10_so4)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
station_id	!= =~ <= >= = < >		!= =~ <= >= = < >		"Gruvebadet"	"Gruvebadet"
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		78.92136	78.92136
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		11.86587	11.86587
time (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >
Actual_sampling_volume (m3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	367.2
sea_salt (ng m-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	985.18
crustal (ng m-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	135.33
biogenic (ng m-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	811.2
anthropic (ng m-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	4202.2

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" station_id latitude longitude time Actual_sampling_volume sea_salt crustal biogenic anthropic station_id latitude longitude time Actual_sampling_volume sea_salt crustal biogenic anthropic station_id latitude longitude time Actual_sampling_volume sea_salt crustal biogenic anthropic station_id latitude longitude time Actual_sampling_volume sea_salt crustal biogenic anthropic station_id latitude longitude time Actual_sampling_volume sea_salt crustal biogenic anthropic ")

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 {
  station_id {
    String actual_range 
"Gruvebadet
Gruvebadet";
    String cf_role "timeseries_id";
    String long_name "Id of the station in the TimeSeries";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 78.92136, 78.92136;
    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 11.86587, 11.86587;
    String axis "X";
    String ioos_category "Location";
    String long_name "longitude position of the station";
    String standard_name "longitude";
    String units "degrees_east";
  }
  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";
  }
  Actual_sampling_volume {
    Float32 actual_range 0.0, 367.2;
    String long_name "Actual Sampling Volume";
    String units "m3";
  }
  sea_salt {
    Float32 actual_range 0.0, 985.18;
    String long_name "Sea Salt";
    String standard_name "mass_concentration_of_sulfate_ambient_aerosol_particles_in_air";
    String units "ng m-3";
  }
  crustal {
    Float32 actual_range 0.0, 135.33;
    String long_name "Crustal";
    String standard_name "mass_concentration_of_sulfate_ambient_aerosol_particles_in_air";
    String units "ng m-3";
  }
  biogenic {
    Float32 actual_range 0.0, 811.2;
    String long_name "Biogenic";
    String standard_name "mass_concentration_of_sulfate_ambient_aerosol_particles_in_air";
    String units "ng m-3";
  }
  anthropic {
    Float32 actual_range 0.0, 4202.2;
    String long_name "Anthropic";
    String standard_name "mass_concentration_of_sulfate_ambient_aerosol_particles_in_air";
    String units "ng m-3";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "station_id, longitude, latitude";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String creator_name "Rita Traversi";
    String creator_type "person";
    Float64 Easternmost_Easting 11.86587;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 78.92136;
    Float64 geospatial_lat_min 78.92136;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 11.86587;
    Float64 geospatial_lon_min 11.86587;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-12-22T13:05:16Z (local files)
2024-12-22T13:05:16Z https://data.iadc.cnr.it/erddap/tabledap/traversi_nya_gvb_pm10_so4.html";
    String infoUrl "https://metadata.iadc.cnr.it/geonetwork/srv/eng/catalog.search#/metadata/a72d871b-01f0-4b20-993d-d6855eefb0d6";
    String institution "University of Florence - Italy";
    String keywords "AEROSOLS, ATMOSPHERIC CHEMISTRY, SULFUR COMPOUNDS";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "CC BY-NC: This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.";
    Float64 Northernmost_Northing 78.92136;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 78.92136;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Sulphate contributions to PM10 aerosol sampled at Gruvebadet Observatory (Ny Alesund)";
    String title "GVB Sulphate apportionment in PM10";
    Float64 Westernmost_Easting 11.86587;
  }
}

 

---

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 2.23
Disclaimers | Privacy Policy | Contact