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Dataset Title:  MAP Mooring T data @ 40m Subscribe RSS
Institution:  Institute of Polar Sciences   (Dataset ID: 7b7bd8f8-4a66-4fe5-8809-52173f2189c1)
Range: longitude = 11.877 to 11.897°E, latitude = 78.942 to 78.944°N, depth = 40.0 to 40.0m, time = 2021-09-10T17:16:53Z to 2025-06-12T12:07:00Z
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Subset | Data Access Form | Files
 
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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.631294213e+9, 1.74973002e+9;
    String axis "T";
    String colorBarMaximum "100000.0";
    String colorBarMinimum "0.0";
    String comment "n/a";
    String ioos_category "Time";
    String long_name "time of measurement";
    String QC_indicator "1.0";
    String QC_Processing_level "Instrument data that has been converted to geophysical values";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String uncertainty "0.0035";
    String units "seconds since 1970-01-01T00:00:00Z";
    Float64 valid_max 90000.0;
    Float64 valid_min 0.0;
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 78.942, 78.944;
    String axis "Y";
    String colorBarMaximum "90.0";
    String colorBarMinimum "-90.0";
    String comment "Surveyed mooring position";
    String coordinate_reference_frame "urn:ogc:def:crs:EPSG::4326";
    String ioos_category "Location";
    String long_name "latitude of measurement";
    String Processing_level "Data verified against model or other contextual information";
    String QC_indicator "1.0";
    String reference "WGS84";
    String references "WGS84";
    String standard_name "latitude";
    String uncertainty "0.004";
    String units "degrees_north";
    Float64 valid_max 90.0;
    Float64 valid_min -90.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range 11.877, 11.897;
    String axis "X";
    String colorBarMaximum "180.0";
    String colorBarMinimum "-180.0";
    String comment "Surveyed mooring position";
    String coordinate_reference_frame "urn:ogc:def:crs:EPSG::4326";
    String ioos_category "Location";
    String long_name "Longitude of measurement";
    String Processing_level "Data verified against model or other contextual information";
    String QC_indicator "1.0";
    String reference "WGS84";
    String references "WGS84";
    String standard_name "longitude";
    String uncertainty "0.004";
    String units "degrees_east";
    Float64 valid_max 180.0;
    Float64 valid_min -180.0;
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 actual_range 40.0, 40.0;
    String axis "Z";
    String colorBarMaximum "8000.0";
    String colorBarMinimum "-8000.0";
    String colorBarPalette "TopographyDepth";
    String comment "Depth calculated from mooring diagram and other sensors";
    String coordinate_reference_frame "urn:ogc:def:crs:EPSG::5831";
    String ioos_category "Location";
    String long_name "Depth of measurement";
    String positive "down";
    String Processing_level "Data verified against model or other contextual information";
    String QC_indicator "1.0";
    String reference "sea_level";
    String references "sea_level";
    String standard_name "depth";
    String uncertainty "1.0";
    String units "m";
    Float64 valid_max 12000.0;
    Float64 valid_min 0.0;
  }
  TEMP {
    Float64 _FillValue NaN;
    String accuracy "0.002";
    Float64 actual_range -1.822, 8.0473;
    String ancillary_variables "dat_temp_qc";
    String cell_methods "TIME:mean DEPTH:point LATITUDE:point LONGITUDE:point";
    String colorBarMaximum "40.0";
    String colorBarMinimum "-10.0";
    String comment "Temperature parameters in any body of water at any point between the bed and the atmosphere excluding the top few microns sampled by radiometers known as the skin";
    String coordinates "TIME LATITUDE LONGITUDE DEPTH";
    String DM_indicator "D";
    String long_name "Temperature of the water column";
    String processing_level "Ranges applied, bad data flagged";
    String QC_indicator "excellent";
    String reference_scale "ITS-90";
    String resolution "1.0E-4";
    String sensor_data_end_date "2022-08-30T07:56:53Z";
    String sensor_data_start_date "2021-09-10T17:16:53Z";
    String sensor_depth "40.0";
    String sensor_manufacturer "Sea-Bird Scientific";
    String sensor_model "Sea-Bird SBE 56 temperature recorder";
    String sensor_mount "mounted_on_mooring_line";
    String sensor_orientation "up";
    String sensor_SeaVoX_L22_code "SDN:L22::TOOL1393";
    String sensor_serial_number "05602250";
    String standard_name "sea-water_temperature";
    String units "degree_Celsius";
    String URI "https://vocab.nerc.ac.uk/collection/P01/current/TEMPST01/";
    Float64 valid_max 45.0;
    Float64 valid_min -5.0;
  }
  TEMP_QC {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 1;
    String colorBarMaximum "10.0";
    String colorBarMinimum "0.0";
    String flag_meanings "no_qc_performed good_data probably_good_data bad_data_that_are_potentially_correctable bad_data value_changed nominal_value interpolated_value missing_value";
    String flag_values "0 1 2 3 4 5 7 8 9";
    String long_name "quality flag of sea_water_temperature";
  }
  station_id {
    String actual_range 
"Kongsfjord
Kongsfjord";
    String cf_role "timeseries_id";
    String long_name "Id of the station in the TimeSeries";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "station_id,latitude,longitude";
    String contributor_email "francesco.paladinidemendoza@cnr.it";
    String contributor_institution "Institute of Polar Sciences";
    String contributor_name "Francesco Paladini de Mendoza";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String creator_email "francesco.paladinidemendoza@cnr.it";
    String creator_name "Institute of Polar Science - CNR";
    String creator_url "https://www.isp.cnr.it/index.php/it/";
    String dataset_originator_person "Francesco Paladini de Mendoza";
    Float64 Easternmost_Easting 11.897;
    String endpoint "https://data.iadc.cnr.it/erddap/tabledap/";
    String Facility_reference_persons "Tommaso Tesi; Giammarco Ingrosso; Stefano Miserocchi; Leonardo Langone; Federico Giglio; Francesco Paladini de Mendoza; Patrizia Giordano";
    String featureType "TimeSeries";
    String funding_source "JRA ENI-CNR";
    String geospatial_lat "78.943";
    Float64 geospatial_lat_max 78.944;
    Float64 geospatial_lat_min 78.942;
    String geospatial_lat_units "degrees_north";
    String geospatial_lon "11.877";
    Float64 geospatial_lon_max 11.897;
    Float64 geospatial_lon_min 11.877;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 40.0;
    Float64 geospatial_vertical_min 40.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"Mooring MAP in Kongsfjorden since 2020
2026-03-20T02:53:57Z (local files)
2026-03-20T02:53:57Z https://data.iadc.cnr.it/tabledap/7b7bd8f8-4a66-4fe5-8809-52173f2189c1.das";
    String infoUrl "https://www.isp.cnr.it/index.php/en/";
    String institution "Institute of Polar Sciences";
    String institution_edmo_code "6075";
    String institution_edmo_uri "https://edmo.seadatanet.org/report/6075";
    String Institution_managing_the_facility "CNR - Institute of Polar Science";
    String keywords "column, data, depth, flag, institute, latitude, local, longitude, polar, quality, sciences, sea, sea-water, sea-water_temperature, seawater, source, TEMP, TEMP_QC, temperature, time, water";
    String license "CC-BY-4.0";
    String license_uri "https://spdx.org/licenses/CC-BY-4.0";
    Float64 Northernmost_Northing 78.944;
    String Operating_facility_name "MAP";
    String Organization_owning_the_facility "CNR - Institute of Polar Science";
    String principal_investigator "Tommaso Tesi";
    String principal_investigator_email "tommaso.tesi@cnr.it";
    String publisher_name "Italian Arctic Data Center";
    String publisher_type "group";
    String publisher_url "https://iadc.cnr.it";
    String Resource_Title "SBE56 data";
    String Resource_type "ERRDAP Web service";
    String RI_acronym "IT_SIOS";
    String RI_geographical_coverage "SDN:C19::9";
    String RI_name "IT_Svalbard_Integrated_Observing_System";
    String RI_start_date "September_2020";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 78.942;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "latitude, longitude, depth, TEMP_QC";
    String summary "Oceanographic mooring data from deployment of MAP mooring in the Kongsfjord (Svalbard islands). Mesured properties: Subsurface Temperature";
    String Temporal_extent_end "2022-08-30T07:56:53Z";
    String Temporal_extent_start "2021-09-10T17:16:53Z";
    String time_coverage_end "2025-06-12T12:07:00Z";
    String time_coverage_start "2021-09-10T17:16:53Z";
    String title "MAP Mooring T data @ 40m";
    String Type_of_platform "SDN:L06::43";
    String update_interval "PT10M";
    Float64 Westernmost_Easting 11.877;
  }
}

 

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 (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

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.

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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