ERDDAP > tabledap > Data Access Form

Dataset Title:	Particle (aerosol) size distribution
Institution:	Institute of Polar Sciences   (Dataset ID: ad560423-dbfa-4182-b55c-0f4826004ec5)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
time (DATETIME, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2018-03-01T00:00:00Z	2019-12-31T23:50:00Z
a_2 (2, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0546832	39107.52
a_3 (3, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	99322.56
a_4 (4, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		5.11632E-4	33020.48
a_5 (5, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.005538656	37087.36
a_6 (6, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		2.149334E-4	35669.44
a_7 (7, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.00325472	35859.84
a_8 (8, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.00545568	45526.08
a_9 (9, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.009441664	45362.56
a_10 (10, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.02287267	40200.96
a_11 (11, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.07670016	39101.76
a_12 (12, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.01668566	38131.84
a_13 (13, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0839168	31625.79
a_14 (14, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.4024672	43832.0
a_15 (15, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.1665568	34217.6
a_16 (16, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.378	30854.66
a_17 (17, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.09227328	36959.36
a_18 (18, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.03963008	35972.48
a_19 (19, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.3008634	29382.82
a_20 (20, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.2569766	28779.81
a_21 (21, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.03018099	23284.51
a_22 (22, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.05884	17102.18
a_23 (23, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.1783667	18507.49
a_24 (24, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.07951008	25186.37
a_25 (25, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.3483328	31597.79
a_26 (26, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.1906534	35540.48
a_27 (27, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.1352934	27129.63
a_28 (28, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.06942656	25653.92
a_29 (29, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.05983008	32794.24
a_30 (30, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003663328	26283.97
a_31 (31, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.01792666	14422.21
a_32 (32, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.08129984	11544.48
a_33 (33, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.02066301	10490.91
a_34 (34, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0492768	7827.648
a_35 (35, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0630832	5883.392
a_36 (36, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.03046934	5035.2
a_37 (37, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.04250656	3690.368
a_38 (38, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.04585664	2585.434
a_39 (39, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.01681232	2116.467
a_40 (40, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.03508672	4871.456
a_41 (41, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		4.902656E-4	6834.752
a_42 (42, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003314624	6375.68
a_43 (43, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.005039008	5822.944
a_44 (44, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		7.02368E-5	4984.064
a_45 (45, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.002909734	3656.96
a_46 (46, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		2.231334E-4	2894.035
a_47 (47, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.01779533	2117.302
a_48 (48, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.002637299	1482.032
a_49 (49, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		7.991328E-5	942.9216
a_50 (50, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		5.679328E-4	651.856
a_51 (51, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.00548768	600.7936
a_52 (52, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.001799232	544.1856
a_53 (53, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.002768701	680.5984
a_54 (54, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		2.766934E-4	11737.76
a_55 (55, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		9.460992E-5	27416.99
a_56 (56, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	986.4512
a_57 (57, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	963.296
a_58 (58, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	844.1504
a_59 (59, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	974.8928
a_60 (60, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	913.2416
a_61 (61, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	992.7424
a_62 (62, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	882.9376
a_63 (63, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	932.5504
a_64 (64, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	939.2832
a_65 (65, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	994.9984
a_66 (66, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	993.36
a_67 (67, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	994.2336
a_68 (68, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	982.8192
a_69 (69, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	995.0272
a_70 (70, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	991.2192
a_71 (71, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	999.008
a_72 (72, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	904.096
a_73 (73, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	944.96
a_74 (74, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	972.1952
a_75 (75, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	954.8192
a_76 (76, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	894.0768
a_77 (77, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	968.4352
a_78 (78, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	908.224
a_79 (79, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	949.3664
a_80 (80, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	946.08
a_81 (81, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	961.1392
a_82 (82, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	936.304
a_83 (83, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	955.6
a_84 (84, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		-999.0	997.1648
a_85 (85, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003555488	737.7248
a_86 (86, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003555488	707.2416
a_87 (87, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003555488	663.7888
a_88 (88, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003555488	616.1696
a_89 (89, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003555488	561.5552
a_90 (90, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003555488	512.7424
a_91 (91, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003555488	469.1936
a_92 (92, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003555488	437.1904
a_93 (93, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003555488	411.84
a_94 (94, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003555488	387.6544
a_95 (95, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003555488	358.0416
a_96 (96, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003555488	329.0144
a_97 (97, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003555488	295.6598
a_98 (98, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003555488	263.6605
a_99 (99, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003555488	231.2771
a_100 (100, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003555488	199.2707
a_101 (101, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003555488	169.4083
a_102 (102, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003555488	140.431
a_103 (103, cm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.003555488	115.9693
station_id	!= =~ <= >= = < >		!= =~ <= >= = < >		"ny_alesund"	"ny_alesund"
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		78.92136	78.92136
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		11.86587	11.86587

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" time a_2 a_3 a_4 a_5 a_6 a_7 a_8 a_9 a_10 a_11 a_12 a_13 a_14 a_15 a_16 a_17 a_18 a_19 a_20 a_21 a_22 a_23 a_24 a_25 a_26 a_27 a_28 a_29 a_30 a_31 a_32 a_33 a_34 a_35 a_36 a_37 a_38 a_39 a_40 a_41 a_42 a_43 a_44 a_45 a_46 a_47 a_48 a_49 a_50 a_51 a_52 a_53 a_54 a_55 a_56 a_57 a_58 a_59 a_60 a_61 a_62 a_63 a_64 a_65 a_66 a_67 a_68 a_69 a_70 a_71 a_72 a_73 a_74 a_75 a_76 a_77 a_78 a_79 a_80 a_81 a_82 a_83 a_84 a_85 a_86 a_87 a_88 a_89 a_90 a_91 a_92 a_93 a_94 a_95 a_96 a_97 a_98 a_99 a_100 a_101 a_102 a_103 station_id latitude longitude time a_2 a_3 a_4 a_5 a_6 a_7 a_8 a_9 a_10 a_11 a_12 a_13 a_14 a_15 a_16 a_17 a_18 a_19 a_20 a_21 a_22 a_23 a_24 a_25 a_26 a_27 a_28 a_29 a_30 a_31 a_32 a_33 a_34 a_35 a_36 a_37 a_38 a_39 a_40 a_41 a_42 a_43 a_44 a_45 a_46 a_47 a_48 a_49 a_50 a_51 a_52 a_53 a_54 a_55 a_56 a_57 a_58 a_59 a_60 a_61 a_62 a_63 a_64 a_65 a_66 a_67 a_68 a_69 a_70 a_71 a_72 a_73 a_74 a_75 a_76 a_77 a_78 a_79 a_80 a_81 a_82 a_83 a_84 a_85 a_86 a_87 a_88 a_89 a_90 a_91 a_92 a_93 a_94 a_95 a_96 a_97 a_98 a_99 a_100 a_101 a_102 a_103 station_id latitude longitude time a_2 a_3 a_4 a_5 a_6 a_7 a_8 a_9 a_10 a_11 a_12 a_13 a_14 a_15 a_16 a_17 a_18 a_19 a_20 a_21 a_22 a_23 a_24 a_25 a_26 a_27 a_28 a_29 a_30 a_31 a_32 a_33 a_34 a_35 a_36 a_37 a_38 a_39 a_40 a_41 a_42 a_43 a_44 a_45 a_46 a_47 a_48 a_49 a_50 a_51 a_52 a_53 a_54 a_55 a_56 a_57 a_58 a_59 a_60 a_61 a_62 a_63 a_64 a_65 a_66 a_67 a_68 a_69 a_70 a_71 a_72 a_73 a_74 a_75 a_76 a_77 a_78 a_79 a_80 a_81 a_82 a_83 a_84 a_85 a_86 a_87 a_88 a_89 a_90 a_91 a_92 a_93 a_94 a_95 a_96 a_97 a_98 a_99 a_100 a_101 a_102 a_103 station_id latitude longitude time a_2 a_3 a_4 a_5 a_6 a_7 a_8 a_9 a_10 a_11 a_12 a_13 a_14 a_15 a_16 a_17 a_18 a_19 a_20 a_21 a_22 a_23 a_24 a_25 a_26 a_27 a_28 a_29 a_30 a_31 a_32 a_33 a_34 a_35 a_36 a_37 a_38 a_39 a_40 a_41 a_42 a_43 a_44 a_45 a_46 a_47 a_48 a_49 a_50 a_51 a_52 a_53 a_54 a_55 a_56 a_57 a_58 a_59 a_60 a_61 a_62 a_63 a_64 a_65 a_66 a_67 a_68 a_69 a_70 a_71 a_72 a_73 a_74 a_75 a_76 a_77 a_78 a_79 a_80 a_81 a_82 a_83 a_84 a_85 a_86 a_87 a_88 a_89 a_90 a_91 a_92 a_93 a_94 a_95 a_96 a_97 a_98 a_99 a_100 a_101 a_102 a_103 station_id latitude longitude time a_2 a_3 a_4 a_5 a_6 a_7 a_8 a_9 a_10 a_11 a_12 a_13 a_14 a_15 a_16 a_17 a_18 a_19 a_20 a_21 a_22 a_23 a_24 a_25 a_26 a_27 a_28 a_29 a_30 a_31 a_32 a_33 a_34 a_35 a_36 a_37 a_38 a_39 a_40 a_41 a_42 a_43 a_44 a_45 a_46 a_47 a_48 a_49 a_50 a_51 a_52 a_53 a_54 a_55 a_56 a_57 a_58 a_59 a_60 a_61 a_62 a_63 a_64 a_65 a_66 a_67 a_68 a_69 a_70 a_71 a_72 a_73 a_74 a_75 a_76 a_77 a_78 a_79 a_80 a_81 a_82 a_83 a_84 a_85 a_86 a_87 a_88 a_89 a_90 a_91 a_92 a_93 a_94 a_95 a_96 a_97 a_98 a_99 a_100 a_101 a_102 a_103 station_id latitude longitude ")

File type: (more information) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .croissant - Download the dataset croissant schema. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .dataTable - A JSON file formatted for use with the Google Visualization client library (Google Charts). .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. .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 19115/19139 UTF-8 .xml metadata using the version default for this server. .iso19115_2 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .iso19115_3_2016 - View the dataset's ISO 19115-3:2016 UTF-8 .xml metadata. .iso19139_2007 - View the dataset's ISO 19139:2007 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). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = '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). .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. .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. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc 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). .parquet - Download as a parquet file. Metadata contains column names ("column_names") and units ("column_units"). .parquetWMeta - Download as a parquet file with detailed metadata. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (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. .largePdf - View a large .pdf image file with a graph or map. .largePng - View a large .png image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .smallPdf - View a small .pdf image file with a graph or map. .smallPng - View a small .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 1.5198624e+9, 1.5778362e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "DATETIME";
    String source_name "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";
  }
  a_2 {
    Float32 _FillValue 0.0;
    Float32 actual_range 0.0546832, 39107.52;
    String long_name "2";
    String standard_name "atmosphere_number_content_of_aerosol_particles";
    String units "cm-3";
  }
  a_3 {
    Float32 _FillValue 0.0;
    Float32 actual_range -999.0, 99322.56;
    String long_name "3";
    String standard_name "atmosphere_number_content_of_aerosol_particles";
    String units "cm-3";
  }
  a_4 {
    Float32 _FillValue 0.0;
    Float32 actual_range 5.11632e-4, 33020.48;
    String long_name "4";
    String standard_name "atmosphere_number_content_of_aerosol_particles";
    String units "cm-3";
  }
  a_5 {
    Float32 _FillValue 0.0;
    Float32 actual_range 0.005538656, 37087.36;
    String long_name "5";
    String standard_name "atmosphere_number_content_of_aerosol_particles";
    String units "cm-3";
  }
  a_6 {
    Float32 _FillValue 0.0;
    Float32 actual_range 2.149334e-4, 35669.44;
    String long_name "6";
    String standard_name "atmosphere_number_content_of_aerosol_particles";
    String units "cm-3";
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    String units "cm-3";
  }
  a_101 {
    Float32 _FillValue 0.0;
    Float32 actual_range 0.003555488, 169.4083;
    String long_name "101";
    String standard_name "atmosphere_number_content_of_aerosol_particles";
    String units "cm-3";
  }
  a_102 {
    Float32 _FillValue 0.0;
    Float32 actual_range 0.003555488, 140.431;
    String long_name "102";
    String standard_name "atmosphere_number_content_of_aerosol_particles";
    String units "cm-3";
  }
  a_103 {
    Float32 _FillValue 0.0;
    Float32 actual_range 0.003555488, 115.9693;
    String long_name "103";
    String standard_name "atmosphere_number_content_of_aerosol_particles";
    String units "cm-3";
  }
  station_id {
    String actual_range 
"ny_alesund
ny_alesund";
    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";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "station_id,latitude,longitude";
    String contributor_email "mauro.mazzola@cnr.it";
    String contributor_institution "Institute of Polar Sciences";
    String contributor_name "Mauro Mazzola";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String creator_email "mauro.mazzola@cnr.it";
    String creator_name "Mauro Mazzola";
    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 
"SMPS and APS are merged together in this dataset. Diameters and bin widths are as follow (Volume_Equivalent_diameter_in_micron\tdlogDp): 0.0104\t0.02829\t\t\t 0.0111\t0.033858\t\t\t 0.012\t0.031408\t\t\t 0.0129\t0.029289\t\t\t 0.0138\t0.033307\t\t\t 0.0149\t0.030934\t\t\t 0.016\t0.031408\t\t\t 0.0172\t0.029289\t\t\t 0.0184\t0.031847\t\t\t 0.0198\t0.031714\t\t\t 0.0213\t0.031456\t\t\t 0.0229\t0.0311\t\t\t 0.0246\t0.030669\t\t\t 0.0264\t0.031714\t\t\t 0.0284\t0.030981\t\t\t 0.0305\t0.031574\t\t\t 0.0328\t0.030669\t\t\t 0.0352\t0.032097\t\t\t 0.0379\t0.030955\t\t\t 0.0407\t0.030887\t\t\t 0.0437\t0.031616\t\t\t 0.047\t0.031194\t\t\t 0.0505\t0.030708\t\t\t 0.0542\t0.031669\t\t\t 0.0583\t0.030906\t\t\t 0.0626\t0.031441\t\t\t 0.0673\t0.031123\t\t\t 0.0723\t0.031283\t\t\t 0.0777\t0.031265\t\t\t 0.0835\t0.03159\t\t\t 0.0898\t0.031251\t\t\t 0.0965\t0.031251\t\t\t 0.1037\t0.031106\t\t\t 0.1114\t0.031209\t\t\t 0.1197\t0.031147\t\t\t 0.1286\t0.031267\t\t\t 0.1382\t0.031511\t\t\t 0.1486\t0.031014\t\t\t 0.1596\t0.031231\t\t\t 0.1715\t0.031261\t\t\t 0.1843\t0.031359\t\t\t 0.1981\t0.031291\t\t\t 0.2129\t0.03128\t\t\t 0.2288\t0.031126\t\t\t 0.2458\t0.031351\t\t\t 0.2642\t0.031233\t\t\t 0.2839\t0.031277\t\t\t 0.3051\t0.031167\t\t\t 0.3278\t0.031304\t\t\t 0.3523\t0.031268\t\t\t 0.3786\t0.0312\t\t\t 0.4068\t0.0312\t\t\t 0.4371\t0.031332\t\t\t 0.4698\t0.011085\t\t\t 0.4819\t0.031123\t\t\t 0.5178\t0.031283\t\t\t 0.5564\t0.031265\t\t\t 0.598\t0.03159\t\t\t 0.6431\t0.031251\t\t\t 0.6911\t0.031251\t\t\t 0.7426\t0.031106\t\t\t 0.7978\t0.031209\t\t\t 0.8572\t0.031147\t\t\t 0.9209\t0.031267\t\t\t 0.9897\t0.031511\t\t\t 1.0641\t0.031014\t\t\t 1.1429\t0.031231\t\t\t 1.2281\t0.031261\t\t\t 1.3198\t0.031359\t\t\t 1.4186\t0.031291\t\t\t 1.5246\t0.03128\t\t\t 1.6385\t0.031126\t\t\t 1.7602\t0.031351\t\t\t 1.892\t0.031233\t\t\t 2.0331\t0.031277\t\t\t 2.1849\t0.031167\t\t\t 2.3474\t0.031304\t\t\t 2.5229\t0.031268\t\t\t 2.7112\t0.0312\t\t\t 2.9132\t0.0312\t\t\t 3.1301\t0.031332\t\t\t 3.3643\t0.031206\t\t\t 3.6149\t0.03128\t\t\t 3.8849\t0.031194\t\t\t 4.1742\t0.031258\t\t\t 4.4857\t0.031292\t\t\t 4.8209\t0.031234\t\t\t 5.1804\t0.031266\t\t\t 5.5671\t0.03125\t\t\t 5.9824\t0.031237\t\t\t 6.4286\t0.031261\t\t\t 6.9084\t0.031386\t\t\t 7.4261\t0.031106\t\t\t 7.9775\t0.031209\t\t\t 8.5719\t0.031147\t\t\t 9.2092\t0.031267\t\t\t 9.8967\t0.031511\t\t\t 10.6415\t0.031014\t\t\t 11.4292\t0.031231\t\t\t 12.2814\t0.031261\t\t\t 13.198\t0.031359\t\t\t 14.1862\t0.004146
2026-02-06T08:38:33Z (local files)
2026-02-06T08:38:33Z https://data.iadc.cnr.it/erddap/tabledap/ad560423-dbfa-4182-b55c-0f4826004ec5.html";
    String infoUrl "https://www.isp.cnr.it";
    String institution "Institute of Polar Sciences";
    String keywords "aerosol, arctic, particle size distribution, psd";
    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 publisher_name "Mauro Mazzola";
    String publisher_type "group";
    String publisher_url "https://iadc.cnr.it";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 78.92136;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "This dataset contains the raw 10-min frequency particle size distribution (PSD) data in 2018 and 2019. SMPS and APS are merged together in this dataset.";
    String time_coverage_end "2019-12-31T23:50:00Z";
    String time_coverage_start "2018-03-01T00:00:00Z";
    String title "Particle (aerosol) size distribution";
    Float64 Westernmost_Easting 11.86587;
  }
}

 

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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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