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Dataset Title:	First Continuous Aerosol Measurements at Testa Grigia at 3480 m asl: Aerosol Populations and Transport Dynamics in the Southern European Alps
Institution:	Institute of Polar Sciences   (Dataset ID: 36301cd5-8094-4a44-87d0-f5f7321cbe4b)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
time (Date and time in UTC, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2021-09-16T08:00:00Z	2023-05-16T05:00:00Z
d0_253 (cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.00398305084745763	189.100710526316
d0_298 (cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0011864406779661	78.996947368421
d0_352 (cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		3.38983050847458E-4	46.4482222222222
d0_414 (cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		2.54237288135593E-4	18.8795217391304
d0_488 (cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		1.66666666666667E-4	13.7943095238095
d0_576 (cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	10.8551904761905
d0_679 (cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	6.94438095238095
d0_800 (cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	4.6572380952381
d0_943 (cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	3.55935714285714
d1_112 (cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	2.8302619047619
d1_310 (cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	2.69819047619048
d1_545 (cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	2.41533333333333
d1_821 (cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	2.32352380952381
d2_146 (cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	2.11454761904762
d2_530 (cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	1.68614285714286
d2_982 (cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	1.11992857142857
d3_515 (cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	0.88447619047619
d4_144 (cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	0.571261904761905
d4_884 (cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	0.352595238095238
d5_757 (cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	0.219214285714286
d6_787 (cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	0.199526315789474
d8_000 (cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	0.150526315789474
d9_430 (cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	0.282447368421053
Babs340 (Mm-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.469317790243594	18.964922149546
Babs470 (Mm-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.201605635958102	15.1914281579995
Babs520 (Mm-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.207518722386597	13.1729524907448
Babs590 (Mm-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.188748167873015	10.9419361808666
Babs660 (Mm-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.193365898313233	9.60617723264779
Babs880 (Mm-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.212444550581583	7.21999320832338
Babs950 (Mm-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.211907657506942	6.78626826774491
station_id	!= =~ <= >= = < >		!= =~ <= >= = < >		"Testa_Grigia"	"Testa_Grigia"
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		45.934	45.934
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		7.708	7.708

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" time d0_253 d0_298 d0_352 d0_414 d0_488 d0_576 d0_679 d0_800 d0_943 d1_112 d1_310 d1_545 d1_821 d2_146 d2_530 d2_982 d3_515 d4_144 d4_884 d5_757 d6_787 d8_000 d9_430 Babs340 Babs470 Babs520 Babs590 Babs660 Babs880 Babs950 station_id latitude longitude time d0_253 d0_298 d0_352 d0_414 d0_488 d0_576 d0_679 d0_800 d0_943 d1_112 d1_310 d1_545 d1_821 d2_146 d2_530 d2_982 d3_515 d4_144 d4_884 d5_757 d6_787 d8_000 d9_430 Babs340 Babs470 Babs520 Babs590 Babs660 Babs880 Babs950 station_id latitude longitude time d0_253 d0_298 d0_352 d0_414 d0_488 d0_576 d0_679 d0_800 d0_943 d1_112 d1_310 d1_545 d1_821 d2_146 d2_530 d2_982 d3_515 d4_144 d4_884 d5_757 d6_787 d8_000 d9_430 Babs340 Babs470 Babs520 Babs590 Babs660 Babs880 Babs950 station_id latitude longitude time d0_253 d0_298 d0_352 d0_414 d0_488 d0_576 d0_679 d0_800 d0_943 d1_112 d1_310 d1_545 d1_821 d2_146 d2_530 d2_982 d3_515 d4_144 d4_884 d5_757 d6_787 d8_000 d9_430 Babs340 Babs470 Babs520 Babs590 Babs660 Babs880 Babs950 station_id latitude longitude time d0_253 d0_298 d0_352 d0_414 d0_488 d0_576 d0_679 d0_800 d0_943 d1_112 d1_310 d1_545 d1_821 d2_146 d2_530 d2_982 d3_515 d4_144 d4_884 d5_757 d6_787 d8_000 d9_430 Babs340 Babs470 Babs520 Babs590 Babs660 Babs880 Babs950 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 1.6317792e+9, 1.6842132e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Date and time in UTC";
    String source_name "date";
    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";
  }
  d0_253 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.00398305084745763, 189.100710526316;
    String long_name "number size distribution of aerosol particles at stp in air with optical diameter between 0.253 and 0.298 micrometers";
    String standard_name "number_size_distribution_of_aerosol_particles_at_stp_in_air";
    String units "cm-3";
  }
  d0_298 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0011864406779661, 78.996947368421;
    String long_name "number size distribution of aerosol particles at stp in air with optical diameter between 0.298 and 0.352 micrometers";
    String standard_name "number_size_distribution_of_aerosol_particles_at_stp_in_air";
    String units "cm-3";
  }
  d0_352 {
    Float64 _FillValue NaN;
    Float64 actual_range 3.38983050847458e-4, 46.4482222222222;
    String long_name "number size distribution of aerosol particles at stp in air with optical diameter between 0.352 and 0.414 micrometers";
    String standard_name "number_size_distribution_of_aerosol_particles_at_stp_in_air";
    String units "cm-3";
  }
  d0_414 {
    Float64 _FillValue NaN;
    Float64 actual_range 2.54237288135593e-4, 18.8795217391304;
    String long_name "number size distribution of aerosol particles at stp in air with optical diameter between 0.414 and 0.488 micrometers";
    String standard_name "number_size_distribution_of_aerosol_particles_at_stp_in_air";
    String units "cm-3";
  }
  d0_488 {
    Float64 _FillValue NaN;
    Float64 actual_range 1.66666666666667e-4, 13.7943095238095;
    String long_name "number size distribution of aerosol particles at stp in air with optical diameter between 0.488 and 0.576 micrometers";
    String standard_name "number_size_distribution_of_aerosol_particles_at_stp_in_air";
    String units "cm-3";
  }
  d0_576 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 10.8551904761905;
    String long_name "number size distribution of aerosol particles at stp in air with optical diameter between 0.576 and 0.679 micrometers";
    String standard_name "number_size_distribution_of_aerosol_particles_at_stp_in_air";
    String units "cm-3";
  }
  d0_679 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 6.94438095238095;
    String long_name "number size distribution of aerosol particles at stp in air with optical diameter between 0.679 and 0.800 micrometers";
    String standard_name "number_size_distribution_of_aerosol_particles_at_stp_in_air";
    String units "cm-3";
  }
  d0_800 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 4.6572380952381;
    String long_name "number size distribution of aerosol particles at stp in air with optical diameter between 0.800 and 0.943 micrometers";
    String standard_name "number_size_distribution_of_aerosol_particles_at_stp_in_air";
    String units "cm-3";
  }
  d0_943 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 3.55935714285714;
    String long_name "number size distribution of aerosol particles at stp in air with optical diameter between 0.493 and 1.112 micrometers";
    String standard_name "number_size_distribution_of_aerosol_particles_at_stp_in_air";
    String units "cm-3";
  }
  d1_112 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 2.8302619047619;
    String long_name "number size distribution of aerosol particles at stp in air with optical diameter between 1.112 and 1.310 micrometers";
    String standard_name "number_size_distribution_of_aerosol_particles_at_stp_in_air";
    String units "cm-3";
  }
  d1_310 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 2.69819047619048;
    String long_name "number size distribution of aerosol particles at stp in air with optical diameter between 1.310 and 1.545 micrometers";
    String standard_name "number_size_distribution_of_aerosol_particles_at_stp_in_air";
    String units "cm-3";
  }
  d1_545 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 2.41533333333333;
    String long_name "number size distribution of aerosol particles at stp in air with optical diameter between 1.545 and 1.821 micrometers";
    String standard_name "number_size_distribution_of_aerosol_particles_at_stp_in_air";
    String units "cm-3";
  }
  d1_821 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 2.32352380952381;
    String long_name "number size distribution of aerosol particles at stp in air with optical diameter between 1.821 and 2.146 micrometers";
    String standard_name "number_size_distribution_of_aerosol_particles_at_stp_in_air";
    String units "cm-3";
  }
  d2_146 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 2.11454761904762;
    String long_name "number size distribution of aerosol particles at stp in air with optical diameter between 2.146 and 2.530 micrometers";
    String standard_name "number_size_distribution_of_aerosol_particles_at_stp_in_air";
    String units "cm-3";
  }
  d2_530 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 1.68614285714286;
    String long_name "number size distribution of aerosol particles at stp in air with optical diameter between 2.530 and 2.892 micrometers";
    String standard_name "number_size_distribution_of_aerosol_particles_at_stp_in_air";
    String units "cm-3";
  }
  d2_982 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 1.11992857142857;
    String long_name "number size distribution of aerosol particles at stp in air with optical diameter between 2.982 and 3.515 micrometers";
    String standard_name "number_size_distribution_of_aerosol_particles_at_stp_in_air";
    String units "cm-3";
  }
  d3_515 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 0.88447619047619;
    String long_name "number size distribution of aerosol particles at stp in air with optical diameter between 3.515 and 4.144 micrometers";
    String standard_name "number_size_distribution_of_aerosol_particles_at_stp_in_air";
    String units "cm-3";
  }
  d4_144 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 0.571261904761905;
    String long_name "number size distribution of aerosol particles at stp in air with optical diameter between 4.144 and 4.884 micrometers";
    String standard_name "number_size_distribution_of_aerosol_particles_at_stp_in_air";
    String units "cm-3";
  }
  d4_884 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 0.352595238095238;
    String long_name "number size distribution of aerosol particles at stp in air with optical diameter between 4.884 and 5.757 micrometers";
    String standard_name "number_size_distribution_of_aerosol_particles_at_stp_in_air";
    String units "cm-3";
  }
  d5_757 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 0.219214285714286;
    String long_name "number size distribution of aerosol particles at stp in air with optical diameter between 5.757 and 6.787 micrometers";
    String standard_name "number_size_distribution_of_aerosol_particles_at_stp_in_air";
    String units "cm-3";
  }
  d6_787 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 0.199526315789474;
    String long_name "number size distribution of aerosol particles at stp in air with optical diameter between 6.787 and 8.000 micrometers";
    String standard_name "number_size_distribution_of_aerosol_particles_at_stp_in_air";
    String units "cm-3";
  }
  d8_000 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 0.150526315789474;
    String long_name "number size distribution of aerosol particles at stp in air with optical diameter between 8.000 and 9.430 micrometers";
    String standard_name "number_size_distribution_of_aerosol_particles_at_stp_in_air";
    String units "cm-3";
  }
  d9_430 {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 0.282447368421053;
    String long_name "number size distribution of aerosol particles at stp in air with optical diameter between 9.430 and 11.120 micrometers";
    String standard_name "number_size_distribution_of_aerosol_particles_at_stp_in_air";
    String units "cm-3";
  }
  Babs340 {
    Float64 _FillValue NaN;
    Float64 actual_range -0.469317790243594, 18.964922149546;
    String long_name "Aerosol absorption coefficient at 340 nanometers";
    String standard_name "aerosol_absorption_coefficient";
    String units "Mm-1";
  }
  Babs470 {
    Float64 _FillValue NaN;
    Float64 actual_range -0.201605635958102, 15.1914281579995;
    String long_name "Aerosol absorption coefficient at 470 nanometers";
    String standard_name "aerosol_absorption_coefficient";
    String units "Mm-1";
  }
  Babs520 {
    Float64 _FillValue NaN;
    Float64 actual_range -0.207518722386597, 13.1729524907448;
    String long_name "Aerosol absorption coefficient at 520 nanometers";
    String standard_name "aerosol_absorption_coefficient";
    String units "Mm-1";
  }
  Babs590 {
    Float64 _FillValue NaN;
    Float64 actual_range -0.188748167873015, 10.9419361808666;
    String long_name "Aerosol absorption coefficient at 590 nanometers";
    String standard_name "aerosol_absorption_coefficient";
    String units "Mm-1";
  }
  Babs660 {
    Float64 _FillValue NaN;
    Float64 actual_range -0.193365898313233, 9.60617723264779;
    String long_name "Aerosol absorption coefficient at 660 nanometers";
    String standard_name "aerosol_absorption_coefficient";
    String units "Mm-1";
  }
  Babs880 {
    Float64 _FillValue NaN;
    Float64 actual_range -0.212444550581583, 7.21999320832338;
    String long_name "Aerosol absorption coefficient at 880 nanometers";
    String standard_name "aerosol_absorption_coefficient";
    String units "Mm-1";
  }
  Babs950 {
    Float64 _FillValue NaN;
    Float64 actual_range -0.211907657506942, 6.78626826774491;
    String long_name "Aerosol absorption coefficient at 950 nanometers";
    String standard_name "aerosol_absorption_coefficient";
    String units "Mm-1";
  }
  station_id {
    String actual_range 
"Testa_Grigia
Testa_Grigia";
    String cf_role "timeseries_id";
    String long_name "Id of the station in the TimeSeries";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 45.934, 45.934;
    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 7.708, 7.708;
    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 "stefania.gilardoni@cnr.it";
    String contributor_institution "Institute of Polar Sciences";
    String contributor_name "Stefania Gilardoni";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String creator_email "stefania.gilardoni@cnr.it";
    String creator_name "Stefania Gilardoni";
    String creator_url "https://editor.copernicus.org/EGUsphere/ms_records/egusphere-2026-1299";
    Float64 Easternmost_Easting 7.708;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 45.934;
    Float64 geospatial_lat_min 45.934;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 7.708;
    Float64 geospatial_lon_min 7.708;
    String geospatial_lon_units "degrees_east";
    String history 
"2026-03-23T08:00:00 publication v0
2026-04-28T05:19:54Z (local files)
2026-04-28T05:19:54Z https://bo.isp.cnr.it/erddap/tabledap/36301cd5-8094-4a44-87d0-f5f7321cbe4b.html";
    String infoUrl "https://testagrigia.cnr.it/";
    String institution "Institute of Polar Sciences";
    String keywords "absorption coefficient, aerosol, particle number size distribution";
    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 45.934;
    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 45.934;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Dataset of aerosol microphysical properties measured at Testa Grigia Observatory from September 2021 to May 2023 . The dataset includes number of particles in 31 bins with the following lower cut-off (in micrometers): 0.253,0.298,0.352,0.414,0.488,0.576,0.679,0.8,0.943,1.112,1.31,1.545,1.821,2.146,2.53,2.982,3.515,4.144, 4.884,5.757,6.787,8.00,9.43,11.12,13.1,15.45,18.21,21.46,25.3,29.82,35.15; Aerosol absorption coefficient measured at the following 7 wavelengths (in nanometers): 470, 520,590,660,880,950; Aerosol concentration from CAMS ensemble model: PM10, PM2.5, PM_dust.";
    String time_coverage_end "2023-05-16T05:00:00Z";
    String time_coverage_start "2021-09-16T08:00:00Z";
    String title "First Continuous Aerosol Measurements at Testa Grigia at 3480 m asl: Aerosol Populations and Transport Dynamics in the Southern European Alps";
    Float64 Westernmost_Easting 7.708;
  }
}

 

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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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