ERDDAP > tabledap > Data Access Form

Dataset Title:	PolarWatch, ERDDAP Data Usage, Monthly
Institution:	NOAA/NESDIS/CoastWatch/PolarWatch   (Dataset ID: polarwatch_datause_monthly)
Information:	Summary | License | Metadata | Background | Subset | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum    or a List of Values	Maximum
dataset_id (ERDDAP Dataset ID)	!= =~ <= >= = < >		!= =~ <= >= = < >		"all_datasets" "coastwatchSMOSv662SSS1day" "coastwatchSMOSv662SSS3day" "erdMH1cflh1day" "erdMH1cflh8day" "erdMH1cflhmday" "erdMH1chla1day" "erdMH1chla8day" "erdMH1chlamday" "erdMH1kd4901day" "erdMH1kd4908day" "erdMH1kd490mday" "erdMH1par01day" "erdMH1par08day" "erdMH1par0mday" "erdPH2ssta1day" "erdPH2ssta8day" "erdPH2sstamday" "erdPH53sstd8day" "erdPH53sstdmday" "erdPH53sstn8day" "erdPH53sstnmday" "erdTAssh1day" "erdTAsshmday" "erdVH2018chla1day" "erdVH2018chla8day" "erdVH2018chlamday" "erdVH2018k4901day" "erdVH2018k4908day" "erdVH2018k490mday" "erdVH2018par1day" "erdVH2018par8day" "erdVH2018parmday" "erdVH2018pic1day" "erdVH2018pic8day" "erdVH2018picmday" "erdVH2018poc1day" "erdVH2018poc8day" "erdVH2018pocmday" "erdVH2018r6711day" "erdVH2018r6718day" "erdVH2018r671mday" "etopo180" "etopo360" "eumetsat_osisaf_grid_nh_ps" "eumetsat_osisaf_grid_sh_ps" "jplMURSST41" "jplMURSST41anom1day" "jplMURSST41anommday" "jplMURSST41mday" "jpss_chl_alaska" "modis_month_poc2022" "ncei_polarAPPX20_nhem" "ncei_polarAPPX20_nhem_grid" "nesdis_blendedsic_nhem_daily" "nesdis_blendedsic_shem_daily" "nesdis_ease2_latlon_nhem_1k" "nesdis_ease2_latlon_shem_1k" "nesdisGeoPolarSSTN5NRT" "nesdisL3Collatedn20C" "nesdisL3CollatednppC" "nesdisNPPN20S3AkdSCIDINEOFDaily" "nesdisNPPN20S3ASCIDINEOFDaily" "nesdisNPPN20S3AspmSCIDINEOFDaily" "nesdisSSH1day" "nesdisVHNchlaDaily" "nesdisVHNchlaWeekly" "nesdisVHNnoaaSNPPnoaa20NRTchlaGapfilledDaily" "nesdisVHNSQchlaDaily" "nesdisVHNSQchlaMonthly" "nesdisVHNSQchlaWeekly" "nesdisVHNSQkd490Daily" "nesdisVHNSQkd490Monthly" "nesdisVHNSQkd490Weekly" "nesdisVHNSQkdparDaily" "nesdisVHNSQkdparMonthly" "nesdisVHNSQkdparWeekly" "nesdisVHNSQnLw410Daily" "nesdisVHNSQnLw410Monthly" "nesdisVHNSQnLw410Weekly" "nesdisVHNSQnLw443Daily" "nesdisVHNSQnLw443Monthly" "nesdisVHNSQnLw443Weekly" "nesdisVHNSQnLw486Daily" "nesdisVHNSQnLw486Monthly" "nesdisVHNSQnLw486Weekly" "nesdisVHNSQnLw551Daily" "nesdisVHNSQnLw551Monthly" "nesdisVHNSQnLw551Weekly" "nesdisVHNSQnLw671Daily" "nesdisVHNSQnLw671Monthly" "nesdisVHNSQnLw671Weekly" "noaa_snpp_poc" "noaacwAMSR2gw1IceConcDailyNP06" "noaacwAMSR2gw1IceConcDailySP06" "noaacwAMSR2gw1IceNP06_Grid" "noaacwAMSR2gw1IceSP06_Grid" "noaacwSARciceclassnpoleDaily" "noaacwSARnrcsnpoleDaily" "noaacwVIIRSn20iceconcNP06Daily" "noaacwVIIRSn20iceconcNP06Daily4Day" "noaacwVIIRSn20iceconcSP06Daily" "noaacwVIIRSn20iceconcSP06Daily4Day" "noaacwVIIRSn20icesrftempNP06Daily" "noaacwVIIRSn20icesrftempNP06Daily4Day" "noaacwVIIRSn20icesrftempSP06Daily" "noaacwVIIRSn20icesrftempSP06Daily4Day" "noaacwVIIRSn20icethickNP06Daily" "noaacwVIIRSn20icethickNP06Daily4Day" "noaacwVIIRSn20icethickNP06Daily4Day_pw" "noaacwVIIRSn20icethickSP06Daily" "noaacwVIIRSn20icethickSP06Daily4Day" "nsidcCDRice_nh_grid" "nsidcCDRice_sh_grid" "nsidcCDRiceNRTnhmday" "nsidcCDRiceNRTshmday" "nsidcCDRiceSQnh1day" "nsidcCDRiceSQnhmday" "nsidcCDRiceSQsh1day" "nsidcCDRiceSQshmday" "nsidcG02202v4nh1day" "nsidcG02202v4nhmday" "nsidcG02202v4sh1day" "nsidcG02202v4shmday" "nsidcG10016v2nh1day" "nsidcG10016v2nhmday" "nsidcG10016v2sh1day" "nsidcG10016v2shmday" "pmlEsaCCI50OceanColor5Day" "pmlEsaCCI50OceanColor8Day" "pmlEsaCCI50OceanColorDaily" "pmlEsaCCI50OceanColorMonthly" "pmlEsaCCI60OceanColor5Day" "pmlEsaCCI60OceanColor8Day" "pmlEsaCCI60OceanColorDaily" "pmlEsaCCI60OceanColorMonthly" "poc_arctic_viirs_noaa20" "pstere_gridcell_N25k" "pstere_gridcell_S25k" "sardine_habitat_gapfilled" "seawifs_month_poc2022" "usnic_ims_4km" "viirs_month_poc2022" "viirs_primprod" "wvcharmV3_0day" "wvcharmV3_1day" "wvcharmV3_2day" "wvcharmV3_3day"
data_volume (Total Monthly Data Volume, Mb)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	2172512
requests	!= =~ <= >= = < >		!= =~ <= >= = < >		1	1772568
nc_req	!= =~ <= >= = < >		!= =~ <= >= = < >		0	530183
dods_req (Monthly OpenDAP Requests)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	56954
text_req	!= =~ <= >= = < >		!= =~ <= >= = < >		0	82813
metadata_req (Monthly Requests for Metadata)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	4364
graph_req (Monthly Requests for Graphics)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	88840
json_req	!= =~ <= >= = < >		!= =~ <= >= = < >		0	60099
mat_req	!= =~ <= >= = < >		!= =~ <= >= = < >		0	42
images_req (Monthly Requests for Images)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	9147
file_downloads_req	!= =~ <= >= = < >		!= =~ <= >= = < >		0	0
other_req	!= =~ <= >= = < >		!= =~ <= >= = < >		0	1146955
nc_volume (Kb)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	2.100206E9
dods_volume (Kb)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	1.543923E7
text_volume (Kb)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	2.51808E7
metadata_volume (Kb)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	1797726.0
graph_volume (Kb)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	5724591.0
json_volume (Kb)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	5135847.0
mat_volume (Kb)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	2186762.0
images_volume (Kb)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	422503.9
file_downloads_volume (Kb)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	0.0
other_size (Kb)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	1.243414E8
requests_redirect (Total Redirected Requests)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	2030965
nc_req_redirect	!= =~ <= >= = < >		!= =~ <= >= = < >		0	1448060
dods_req_redirect (Redirected Dods Requests)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	564
text_req_redirect	!= =~ <= >= = < >		!= =~ <= >= = < >		0	4866
metadata_req_redirect	!= =~ <= >= = < >		!= =~ <= >= = < >		0	4120
graph_req_redirect	!= =~ <= >= = < >		!= =~ <= >= = < >		0	0
json_req_redirect	!= =~ <= >= = < >		!= =~ <= >= = < >		0	104758
mat_req_redirect	!= =~ <= >= = < >		!= =~ <= >= = < >		0	92
images_req_redirect	!= =~ <= >= = < >		!= =~ <= >= = < >		0	41670
file_download_req_redirect	!= =~ <= >= = < >		!= =~ <= >= = < >
other_req_redirect	!= =~ <= >= = < >		!= =~ <= >= = < >		0	559166
unique_visitors	!= =~ <= >= = < >		!= =~ <= >= = < >		1	13274
time_epoch	!= =~ <= >= = < >		!= =~ <= >= = < >		1.6106976E9	1.7210268E9
time (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2021-01-15T00:00:00Z 2021-02-15T00:00:00Z 2021-04-15T00:00:00Z 2021-05-15T00:00:00Z 2022-02-15T00:00:00Z 2023-02-15T00:00:00Z 2023-03-15T00:00:00Z 2023-04-15T00:00:00Z 2023-05-15T00:00:00Z 2023-06-15T00:00:00Z 2023-07-15T00:00:00Z 2023-08-15T00:00:00Z 2023-09-15T00:00:00Z 2023-10-15T00:00:00Z 2023-11-15T00:00:00Z 2023-12-15T00:00:00Z 2024-01-15T00:00:00Z 2024-02-15T00:00:00Z 2024-03-15T00:00:00Z 2024-04-15T00:00:00Z 2024-05-15T00:00:00Z 2024-06-15T00:00:00Z 2024-07-15T00:00:00Z

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" dataset_id data_volume requests nc_req dods_req text_req metadata_req graph_req json_req mat_req images_req file_downloads_req other_req nc_volume dods_volume text_volume metadata_volume graph_volume json_volume mat_volume images_volume file_downloads_volume other_size requests_redirect nc_req_redirect dods_req_redirect text_req_redirect metadata_req_redirect graph_req_redirect json_req_redirect mat_req_redirect images_req_redirect file_download_req_redirect other_req_redirect unique_visitors time_epoch time dataset_id data_volume requests nc_req dods_req text_req metadata_req graph_req json_req mat_req images_req file_downloads_req other_req nc_volume dods_volume text_volume metadata_volume graph_volume json_volume mat_volume images_volume file_downloads_volume other_size requests_redirect nc_req_redirect dods_req_redirect text_req_redirect metadata_req_redirect graph_req_redirect json_req_redirect mat_req_redirect images_req_redirect file_download_req_redirect other_req_redirect unique_visitors time_epoch time dataset_id data_volume requests nc_req dods_req text_req metadata_req graph_req json_req mat_req images_req file_downloads_req other_req nc_volume dods_volume text_volume metadata_volume graph_volume json_volume mat_volume images_volume file_downloads_volume other_size requests_redirect nc_req_redirect dods_req_redirect text_req_redirect metadata_req_redirect graph_req_redirect json_req_redirect mat_req_redirect images_req_redirect file_download_req_redirect other_req_redirect unique_visitors time_epoch time dataset_id data_volume requests nc_req dods_req text_req metadata_req graph_req json_req mat_req images_req file_downloads_req other_req nc_volume dods_volume text_volume metadata_volume graph_volume json_volume mat_volume images_volume file_downloads_volume other_size requests_redirect nc_req_redirect dods_req_redirect text_req_redirect metadata_req_redirect graph_req_redirect json_req_redirect mat_req_redirect images_req_redirect file_download_req_redirect other_req_redirect unique_visitors time_epoch time dataset_id data_volume requests nc_req dods_req text_req metadata_req graph_req json_req mat_req images_req file_downloads_req other_req nc_volume dods_volume text_volume metadata_volume graph_volume json_volume mat_volume images_volume file_downloads_volume other_size requests_redirect nc_req_redirect dods_req_redirect text_req_redirect metadata_req_redirect graph_req_redirect json_req_redirect mat_req_redirect images_req_redirect file_download_req_redirect other_req_redirect unique_visitors time_epoch time ")

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). .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. .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 {
  dataset_id {
    String ioos_category "Identifier";
    String long_name "ERDDAP Dataset ID";
  }
  data_volume {
    Float64 _FillValue -999;
    Float64 actual_range 0, 2172512;
    String ioos_category "Unknown";
    String long_name "Total Monthly Data Volume";
    String units "Mb";
  }
  requests {
    Int32 _FillValue -999;
    Int32 actual_range 1, 1772568;
    String ioos_category "Unknown";
    String long_name "Total Monthly Requests for Data";
  }
  nc_req {
    Int32 _FillValue -999;
    Int32 actual_range 0, 530183;
    String ioos_category "Unknown";
    String long_name "Monthly Requests for Data in NetCDF Format";
  }
  dods_req {
    Int32 _FillValue -999;
    Int32 actual_range 0, 56954;
    String ioos_category "Unknown";
    String long_name "Monthly OpenDAP Requests";
  }
  text_req {
    Int32 _FillValue -999;
    Int32 actual_range 0, 82813;
    String comment "File type include CSV, ASCII, TXT, tab-separated, and html files";
    String ioos_category "Unknown";
    String long_name "Monthly Requests for Data in Text Format";
  }
  metadata_req {
    Int32 _FillValue -999;
    Int32 actual_range 0, 4364;
    String ioos_category "Unknown";
    String long_name "Monthly Requests for Metadata";
  }
  graph_req {
    Int32 _FillValue -999;
    Int32 actual_range 0, 88840;
    String ioos_category "Unknown";
    String long_name "Monthly Requests for Graphics";
  }
  json_req {
    Int32 _FillValue -999;
    Int32 actual_range 0, 60099;
    String ioos_category "Unknown";
    String long_name "Monthly Requests for Data in JSON Format";
  }
  mat_req {
    Int32 _FillValue -999;
    Int32 actual_range 0, 42;
    String ioos_category "Unknown";
    String long_name "Monthly Requests for Data in MATLAB Format";
  }
  images_req {
    Int32 _FillValue -999;
    Int32 actual_range 0, 9147;
    String ioos_category "Unknown";
    String long_name "Monthly Requests for Images";
  }
  file_downloads_req {
    Int16 _FillValue -999;
    Int16 actual_range 0, 0;
    String ioos_category "Unknown";
    String long_name "Monthly Requests to Download Tiles";
  }
  other_req {
    Int32 _FillValue -999;
    Int32 actual_range 0, 1146955;
    String ioos_category "Unknown";
    String long_name "Monthly Requests Data in Other Formats";
  }
  nc_volume {
    Float32 _FillValue -999.0;
    Float32 actual_range 0.0, 2.100206e+9;
    String ioos_category "Unknown";
    String long_name "Monthly Data Volume in NetCDF Format";
    String units "Kb";
  }
  dods_volume {
    Float32 _FillValue -999.0;
    Float32 actual_range 0.0, 1.543923e+7;
    String ioos_category "Unknown";
    String long_name "Monthly Data Volume in Dods Format";
    String units "Kb";
  }
  text_volume {
    Float32 _FillValue -999.0;
    Float32 actual_range 0.0, 2.51808e+7;
    String ioos_category "Unknown";
    String long_name "Monthly Data Volume in Text Format";
    String units "Kb";
  }
  metadata_volume {
    Float32 _FillValue -999.0;
    Float32 actual_range 0.0, 1797726.0;
    String ioos_category "Unknown";
    String long_name "Monthly Data Volume for Metadata";
    String units "Kb";
  }
  graph_volume {
    Float32 _FillValue -999.0;
    Float32 actual_range 0.0, 5724591.0;
    String ioos_category "Unknown";
    String long_name "Monthly Data Volume for Graphs";
    String units "Kb";
  }
  json_volume {
    Float32 _FillValue -999.0;
    Float32 actual_range 0.0, 5135847.0;
    String ioos_category "Unknown";
    String long_name 
"Monthly Data Volume in Json 
            format";
    String units "Kb";
  }
  mat_volume {
    Float32 _FillValue -999.0;
    Float32 actual_range 0.0, 2186762.0;
    String ioos_category "Unknown";
    String long_name "Monthly Data Volume in MATLAB Format";
    String units "Kb";
  }
  images_volume {
    Float32 _FillValue -999.0;
    Float32 actual_range 0.0, 422503.9;
    String ioos_category "Unknown";
    String long_name "Monthly Data Volume for Images";
    String units "Kb";
  }
  file_downloads_volume {
    Float32 _FillValue -999.0;
    Float32 actual_range 0.0, 0.0;
    String comment "FTP-like file downloads";
    String ioos_category "Unknown";
    String long_name "Monthly Data Volume for Whole File Downloads Size";
    String units "Kb";
  }
  other_size {
    Float32 _FillValue -999.0;
    Float32 actual_range 0.0, 1.243414e+8;
    String ioos_category "Unknown";
    String long_name "Monthly Data Volume Other File Types";
    String units "Kb";
  }
  requests_redirect {
    Int32 _FillValue -999;
    Int32 actual_range 0, 2030965;
    String ioos_category "Unknown";
    String long_name "Total Redirected Requests";
  }
  nc_req_redirect {
    Int32 _FillValue -999;
    Int32 actual_range 0, 1448060;
    String ioos_category "Unknown";
    String long_name "Redirected Requests for NetCDF Files";
  }
  dods_req_redirect {
    Int32 _FillValue -999;
    Int32 actual_range 0, 564;
    String ioos_category "Unknown";
    String long_name "Redirected Dods Requests";
  }
  text_req_redirect {
    Int32 _FillValue -999;
    Int32 actual_range 0, 4866;
    String ioos_category "Unknown";
    String long_name "Redirected Requests for Text Files";
  }
  metadata_req_redirect {
    Int32 _FillValue -999;
    Int32 actual_range 0, 4120;
    String ioos_category "Unknown";
    String long_name "Redirected Requests for Metadata";
  }
  graph_req_redirect {
    Int32 _FillValue -999;
    Int32 actual_range 0, 0;
    String ioos_category "Unknown";
    String long_name "Redirected Requests for Graphs";
  }
  json_req_redirect {
    Int32 _FillValue -999;
    Int32 actual_range 0, 104758;
    String ioos_category "Unknown";
    String long_name "Redirected Requests for JSON Files";
  }
  mat_req_redirect {
    Int32 _FillValue -999;
    Int32 actual_range 0, 92;
    String ioos_category "Unknown";
    String long_name "Redirected Requests for MATLAB Files";
  }
  images_req_redirect {
    Int32 _FillValue -999;
    Int32 actual_range 0, 41670;
    String ioos_category "Unknown";
    String long_name "Redirected Requests for Images";
  }
  file_download_req_redirect {
    Int32 _FillValue -999;
    String ioos_category "Unknown";
    String long_name "Redirected Requests for File Downloads";
  }
  other_req_redirect {
    Int32 _FillValue -999;
    Int32 actual_range 0, 559166;
    String ioos_category "Unknown";
    String long_name "Redirected Requests for Other File Types";
  }
  unique_visitors {
    Int16 _FillValue -999;
    Int16 actual_range 1, 13274;
    String ioos_category "Unknown";
    String long_name "Unique Visitors";
  }
  time_epoch {
    Float64 _FillValue -999.0;
    Float64 actual_range 1.6106976e+9, 1.7210268e+9;
    String ioos_category "Time";
    String long_name "Time Epoch";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.6106688e+9, 1.7210016e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Time";
    String source_name "time_iso";
    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";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String defaultGraphQuery "time%2Cunique_visitors%2C&dataset_id=\"all_datasets\"";
    String history 
"2025-05-01T00:54:30Z (local files)
2025-05-01T00:54:30Z https://coastwatch.pfeg.noaa.gov/wcn/erddap/tabledap/polarwatch_datause_monthly.html";
    String infoUrl "https://polarwatch.noaa.gov/";
    String institution "NOAA/NESDIS/CoastWatch/PolarWatch";
    String keywords "coastwatch, data use, erddap, polarwatch";
    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.";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "dataset_id, time";
    String summary "Monthly data usage for the PolarWatch ERDDAP data. The data show total monthly requests, data download volumes, and the number of unique user for the gridded datasets on the server. The requests and download volumes are further split into download file format. The data represent only successful requests from locally hosted dataset (status 200) and request that were redirected to other federated data servers (status 302).";
    String testOutOfDate "now-115days";
    String time_coverage_end "2024-07-15T00:00:00Z";
    String time_coverage_start "2021-01-15T00:00:00Z";
    String title "PolarWatch, ERDDAP Data Usage, Monthly";
  }
}

 

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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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ERDDAP, Version 2.26
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