ERDDAP > tabledap > Data Access Form

Dataset Title:	[emet_W15_1998] - Meteorology and sea surface temperature (MET) 15 minute averaged data from eight R/V Oceanus cruises in the Gulf of Maine and Georges Bank area during 1998 (GB project) (U.S. GLOBEC Georges Bank)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_2316)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Subset | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum    or a List of Values	Maximum
cruiseid	!= =~ <= >= = < >		!= =~ <= >= = < >		"OC317"	"OC334"
year	!= =~ <= >= = < >		!= =~ <= >= = < >		1998
si	!= =~ <= >= = < >		!= =~ <= >= = < >		"C.Greene"	"R.Limeburner"
month_gmt	!= =~ <= >= = < >		!= =~ <= >= = < >		"02"	"12"
day_gmt	!= =~ <= >= = < >		!= =~ <= >= = < >		"04"	"29"
time_gmt (hoursandminutes)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0000"	"2359.76"
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		39.6191	43.8344
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-71.0406	-65.2331
depth_w (Depth, meters)	!= =~ <= >= = < >		!= =~ <= >= = < >		NaN
depth_cs (Depth, meters)	!= =~ <= >= = < >		!= =~ <= >= = < >		NaN
wind_speed_c (Wind Speed, meters/second)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	22.15
wind_dir_c (Wind From Direction, degrees)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	359.9
wind_speed_r (Wind Speed, meters/second)	!= =~ <= >= = < >		!= =~ <= >= = < >		NaN
wind_dir_r (Wind From Direction, degrees)	!= =~ <= >= = < >		!= =~ <= >= = < >		NaN
temp_air (degreesC)	!= =~ <= >= = < >		!= =~ <= >= = < >		-8.2	19.9
humidity (percent)	!= =~ <= >= = < >		!= =~ <= >= = < >		42.0	101.5
press_bar (millibars)	!= =~ <= >= = < >		!= =~ <= >= = < >		977.1	1034.5
precip_level (centimeters)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	50.7
ed_sw (watts/meter^2/second)	!= =~ <= >= = < >		!= =~ <= >= = < >		-2.0	1020.0
ed_lw (watts/meter^2/second)	!= =~ <= >= = < >		!= =~ <= >= = < >		NaN
temp_ss1 (degreesC)	!= =~ <= >= = < >		!= =~ <= >= = < >		NaN
temp_ss3 (degreesC)	!= =~ <= >= = < >		!= =~ <= >= = < >		1.932	25.727
temp_ss5 (degreesC)	!= =~ <= >= = < >		!= =~ <= >= = < >		NaN
cond_mM (mmho/centimeter)	!= =~ <= >= = < >		!= =~ <= >= = < >		20.958	51.416
sal_ss3 (PSU)	!= =~ <= >= = < >		!= =~ <= >= = < >		10.886	35.493
yrday_gmt (decimalday)	!= =~ <= >= = < >		!= =~ <= >= = < >		38.00563	348.09447
numb_records	!= =~ <= >= = < >		!= =~ <= >= = < >		1	38

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" cruiseid year si month_gmt day_gmt time_gmt latitude longitude depth_w depth_cs wind_speed_c wind_dir_c wind_speed_r wind_dir_r temp_air humidity press_bar precip_level ed_sw ed_lw temp_ss1 temp_ss3 temp_ss5 cond_mM sal_ss3 yrday_gmt numb_records cruiseid year si month_gmt day_gmt time_gmt latitude longitude depth_w depth_cs wind_speed_c wind_dir_c wind_speed_r wind_dir_r temp_air humidity press_bar precip_level ed_sw ed_lw temp_ss1 temp_ss3 temp_ss5 cond_mM sal_ss3 yrday_gmt numb_records cruiseid year si month_gmt day_gmt time_gmt latitude longitude depth_w depth_cs wind_speed_c wind_dir_c wind_speed_r wind_dir_r temp_air humidity press_bar precip_level ed_sw ed_lw temp_ss1 temp_ss3 temp_ss5 cond_mM sal_ss3 yrday_gmt numb_records cruiseid year si month_gmt day_gmt time_gmt latitude longitude depth_w depth_cs wind_speed_c wind_dir_c wind_speed_r wind_dir_r temp_air humidity press_bar precip_level ed_sw ed_lw temp_ss1 temp_ss3 temp_ss5 cond_mM sal_ss3 yrday_gmt numb_records cruiseid year si month_gmt day_gmt time_gmt latitude longitude depth_w depth_cs wind_speed_c wind_dir_c wind_speed_r wind_dir_r temp_air humidity press_bar precip_level ed_sw ed_lw temp_ss1 temp_ss3 temp_ss5 cond_mM sal_ss3 yrday_gmt numb_records ")

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 {
  cruiseid {
    String bcodmo_name "cruiseid";
    String description "cruise identifier";
    String long_name "Cruiseid";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 1998, 1998;
    String bcodmo_name "year";
    String description "year, GMT e.g. 1997.";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
  }
  si {
    String bcodmo_name "investigator";
    String description "scientific investigator responsible for this cruise";
    String long_name "Si";
  }
  month_gmt {
    String bcodmo_name "month_gmt";
    String description "month of year, GMT e.g.  6 is June";
    String long_name "Month Gmt";
  }
  day_gmt {
    String bcodmo_name "day_gmt";
    String description "day of month, GMT";
    String long_name "Day Gmt";
  }
  time_gmt {
    String bcodmo_name "time_gmt";
    String description "time of day, GMT, 24 hour clock";
    String long_name "Time Gmt";
    String units "hoursandminutes";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 39.6191, 43.8344;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude, south is negative";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -71.0406, -65.2331;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude, west is negative";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth_w {
    Float64 _FillValue NaN;
    String bcodmo_name "depth_w";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "water depth";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters";
  }
  depth_cs {
    Float64 _FillValue NaN;
    String bcodmo_name "depth_cs";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Chirp Sonar water depth";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters";
  }
  wind_speed_c {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 22.15;
    String bcodmo_name "wind_speed_c";
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String description "wind speed corrected for ship's motion";
    String long_name "Wind Speed";
    String units "meters/second";
  }
  wind_dir_c {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 359.9;
    String bcodmo_name "wind_dir_c";
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String description "wind direction, meteorologic convention, corrected for ship's motion";
    String long_name "Wind From Direction";
    String units "degrees";
  }
  wind_speed_r {
    Float64 _FillValue NaN;
    String bcodmo_name "wind_speed_r";
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String description "wind speed, relative to ship";
    String long_name "Wind Speed";
    String units "meters/second";
  }
  wind_dir_r {
    Float64 _FillValue NaN;
    String bcodmo_name "wind_dir_r";
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String description "wind direction, relative to ship, meteorologic convention";
    String long_name "Wind From Direction";
    String units "degrees";
  }
  temp_air {
    Float32 _FillValue NaN;
    Float32 actual_range -8.2, 19.9;
    String bcodmo_name "temp_air";
    String description "air temperature";
    String long_name "Temp Air";
    String units "degreesC";
  }
  humidity {
    Float32 _FillValue NaN;
    Float32 actual_range 42.0, 101.5;
    String bcodmo_name "humidity";
    String description "relative humidity";
    String long_name "Humidity";
    String units "percent";
  }
  press_bar {
    Float64 _FillValue NaN;
    Float64 actual_range 977.1, 1034.5;
    String bcodmo_name "press_bar";
    String description "b arometric pressure";
    String long_name "Press Bar";
    String units "millibars";
  }
  precip_level {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 50.7;
    String bcodmo_name "precip_level";
    String description "level in the precipitation gauge, total precipitation between two times is the difference in levels (+50 cm if the gauge self-siphoned)";
    String long_name "Precip Level";
    String units "centimeters";
  }
  ed_sw {
    Float32 _FillValue NaN;
    Float32 actual_range -2.0, 1020.0;
    String bcodmo_name "ed_sw";
    String description "short wave downward irradiance";
    String long_name "Ed Sw";
    String units "watts/meter^2/second";
  }
  ed_lw {
    Float64 _FillValue NaN;
    String bcodmo_name "ed_lw";
    String description "long wave downward irradiance";
    String long_name "Ed Lw";
    String units "watts/meter^2/second";
  }
  temp_ss1 {
    Float64 _FillValue NaN;
    String bcodmo_name "temp_ss1";
    String description "sea surface temperature 1 meter below the surface";
    String long_name "Temp Ss1";
    String units "degreesC";
  }
  temp_ss3 {
    Float32 _FillValue NaN;
    Float32 actual_range 1.932, 25.727;
    String bcodmo_name "temp_ss3";
    String description "sea surface temperature 3 meters below the surface";
    String long_name "Temp Ss3";
    String units "degreesC";
  }
  temp_ss5 {
    Float64 _FillValue NaN;
    String bcodmo_name "temp_ss5";
    String description "sea surface temperature 5 meters below the surface";
    String long_name "Temp Ss5";
    String units "degreesC";
  }
  cond_mM {
    Float32 _FillValue NaN;
    Float32 actual_range 20.958, 51.416;
    String bcodmo_name "cond_mM";
    String description "sea surface conductivity";
    String long_name "Cond M M";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/CNDC/";
    String units "mmho/centimeter";
  }
  sal_ss3 {
    Float32 _FillValue NaN;
    Float32 actual_range 10.886, 35.493;
    String bcodmo_name "sal_ss3";
    String description "sea sur face salinity, nominally measured at 3 meters";
    String long_name "Sal Ss3";
    String units "PSU";
  }
  yrday_gmt {
    Float64 _FillValue NaN;
    Float64 actual_range 38.00563, 348.09447;
    String bcodmo_name "yrday_gmt";
    String description "Julian day, GMT e.g.  29.5 is January 29 at 1200 hours";
    String long_name "Yrday Gmt";
    String units "decimalday";
  }
  numb_records {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 38;
    String bcodmo_name "unknown";
    String description "number of records used to compute this value";
    String long_name "Numb Records";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"The sea surface temperature as measured by the hull sensor is not shown since
the sea surface temperature as measured via the engine inlet (field name is
temp_ss1) is more accurate.";
    String awards_0_award_nid "54610";
    String awards_0_award_number "unknown GB NSF";
    String awards_0_funder_name "National Science Foundation";
    String awards_0_funding_acronym "NSF";
    String awards_0_funding_source_nid "350";
    String awards_0_program_manager "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    String awards_1_award_nid "54626";
    String awards_1_award_number "unknown GB NOAA";
    String awards_1_funder_name "National Oceanic and Atmospheric Administration";
    String awards_1_funding_acronym "NOAA";
    String awards_1_funding_source_nid "352";
    String cdm_data_type "Other";
    String comment 
"Emet 15 minute averaged data starting in 1996. 
 Reprocess wind direction data 2/13/1998 rcg   
 File: OC317W15.DAT     Output of VECAVG.FOR(4/14/99) 
 Change SSTMP to SSTMP3.  5/24/1999 rcg";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String date_created "2009-11-25T13:18:00Z";
    String date_modified "2019-02-20T21:08:47Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.2316.1";
    Float64 Easternmost_Easting -65.2331;
    Float64 geospatial_lat_max 43.8344;
    Float64 geospatial_lat_min 39.6191;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -65.2331;
    Float64 geospatial_lon_min -71.0406;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-21T08:46:38Z (local files)
2024-11-21T08:46:38Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_2316.html";
    String infoUrl "https://www.bco-dmo.org/dataset/2316";
    String institution "BCO-DMO";
    String instruments_0_acronym "TSG";
    String instruments_0_dataset_instrument_description "Thermosalinograph used to obtain a continuous record of sea surface temperature and salinity.";
    String instruments_0_dataset_instrument_nid "4225";
    String instruments_0_description "A thermosalinograph (TSG) is used to obtain a continuous record of sea surface temperature and salinity.  On many research vessels the TSG is integrated into the ship's underway seawater sampling system and reported with the underway or alongtrack data.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/133/";
    String instruments_0_instrument_name "Thermosalinograph";
    String instruments_0_instrument_nid "470";
    String instruments_0_supplied_name "Thermosalinograph";
    String keywords "air, altimetry, atmosphere, atmospheric, bar, bco, bco-dmo, biological, chemical, cond, cond_mM, cruiseid, data, dataset, day, day_gmt, depth, depth_cs, depth_w, direction, dmo, earth, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, ed_lw, ed_sw, erddap, humidity, laboratory, latitude, level, longitude, management, month, month_gmt, numb, numb_records, oceanography, office, precip_level, precipitation, preliminary, press, press_bar, records, sal, sal_ss3, satellite, science, speed, ss1, ss3, ss5, surface, temp_air, temp_ss1, temp_ss3, temp_ss5, temperature, time, time_gmt, wind, wind_dir_c, wind_dir_r, wind_from_direction, wind_speed, wind_speed_c, wind_speed_r, winds, year, yrday, yrday_gmt";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/2316/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/2316";
    Float64 Northernmost_Northing 43.8344;
    String param_mapping "{'2316': {'lat': 'master - latitude', 'lon': 'master - longitude', 'press_bar': 'flag - depth'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2316/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Dr Richard Payne";
    String people_0_person_nid "50490";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Woods Hole Oceanographic Institution";
    String people_1_affiliation_acronym "WHOI BCO-DMO";
    String people_1_person_name "Robert C. Groman";
    String people_1_person_nid "50380";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "GB";
    String projects_0_acronym "GB";
    String projects_0_description 
"The U.S. GLOBEC Georges Bank Program is a large multi- disciplinary multi-year oceanographic effort. The proximate goal is to understand the population dynamics of key species on the Bank - Cod, Haddock, and two species of zooplankton (Calanus finmarchicus and Pseudocalanus) - in terms of their coupling to the physical environment and in terms of their predators and prey. The ultimate goal is to be able to predict changes in the distribution and abundance of these species as a result of changes in their physical and biotic environment as well as to anticipate how their populations might respond to climate change.
The effort is substantial, requiring broad-scale surveys of the entire Bank, and process studies which focus both on the links between the target species and their physical environment, and the determination of fundamental aspects of these species' life history (birth rates, growth rates, death rates, etc).
Equally important are the modelling efforts that are ongoing which seek to provide realistic predictions of the flow field and which utilize the life history information to produce an integrated view of the dynamics of the populations.
The U.S. GLOBEC Georges Bank Executive Committee (EXCO) provides program leadership and effective communication with the funding agencies.";
    String projects_0_geolocation "Georges Bank, Gulf of Maine, Northwest Atlantic Ocean";
    String projects_0_name "U.S. GLOBEC Georges Bank";
    String projects_0_project_nid "2037";
    String projects_0_project_website "http://globec.whoi.edu/globec_program.html";
    String projects_0_start_date "1991-01";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 39.6191;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "year,depth_w,depth_cs,wind_speed_r,wind_dir_r,ed_lw,temp_ss1,temp_ss5";
    String summary "Meteorology and sea surface temperature (MET) 15 minute averaged data from eight R/V Oceanus cruises in the Gulf of Maine and Georges Bank area during 1998";
    String title "[emet_W15_1998] - Meteorology and sea surface temperature (MET) 15 minute averaged data from eight R/V Oceanus cruises in the Gulf of Maine and Georges Bank area during 1998 (GB project) (U.S. GLOBEC Georges Bank)";
    String version "1";
    Float64 Westernmost_Easting -71.0406;
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

---

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 2.22
Disclaimers | Privacy Policy | Contact