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Dataset Title:	dm meteo, OS ESTOC-PLOCAN 2014 D FIXO3 (OceanSITES ESTOC in-situ data.)
Institution:	Oceanic Platform of the Canary Islands- PLOCAN (Dataset ID: OS_ESTOC-PLOCAN_2014_D_FIXO3)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form

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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:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.401722887478e+9, 1.419257362522e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "time of measurement";
    String QC_indicator "1";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
    Float64 valid_max 90000.0;
  }
  AIRT {
    Float64 _FillValue -999.0;
    String ancilliary_variables "AIRT_QC";
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String ioos_category "Temperature";
    String long_name "Air temperature";
    String processing_level "Data average were assessed using the time-series obtained from two sensors fixed (redundant system) at the buoy once the quality control was performed";
    String sensor_manufacturer "Vaisala, Vaisala";
    String sensor_model "HMP155, Weather WXT520";
    String sensor_mount "mounted_on_surface_buoy";
    String sensor_serial_number "G0450011, J3120014";
    String standard_name "air_temperature";
    String units "degree_C";
    Float64 valid_max 45.0;
  }
  RELH {
    Float64 _FillValue -999.0;
    String ancilliary_variables "RELH_QC";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Meteorology";
    String long_name "Relative humidity";
    String processing_level "Data average were assessed using the time-series obtained from two sensors fixed (redundant system) at the buoy once the quality control was performed";
    String sensor_manufacturer "Vaisala, Vaisala";
    String sensor_model "HMP155, Weather WXT520";
    String sensor_mount "mounted_on_surface_buoy";
    String sensor_serial_number "G0450011, J3120014";
    String standard_name "relative_humidity";
    String units "percent";
    Float64 valid_max 100.0;
  }
  ATMP {
    Float64 _FillValue -999.0;
    String ancilliary_variables "ATMP_QC";
    Float64 colorBarMaximum 1050.0;
    Float64 colorBarMinimum 950.0;
    String ioos_category "Pressure";
    String long_name "Air Pressure";
    String processing_level "Data average were assessed using the time-series obtained from two sensors fixed (redundant system) at the buoy once the quality control was performed";
    String sensor_manufacturer "Vaisala, Vaisala";
    String sensor_model "PTB110, Weather WXT520";
    String sensor_mount "mounted_on_surface_buoy";
    String sensor_serial_number "G0520009, J3120014";
    String standard_name "air_pressure";
    String units "hPa";
    Float64 valid_max 1060.0;
    Float64 valid_min 800.0;
  }
  WDIR {
    Float64 _FillValue -999.0;
    String ancilliary_variables "WDIR_QC";
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String comment "Data quality is nor assured by compass malfunctions";
    String ioos_category "Wind";
    String long_name "Wind direction";
    String sensor_manufacturer "Vaisala";
    String sensor_model "Weather WXT520";
    String sensor_mount "mounted_on_surface_buoy";
    String sensor_serial_number "J3120014";
    String standard_name "wind_to_direction";
    String units "degrees";
    Float64 valid_max 360.0;
  }
  WSPD {
    Float64 _FillValue -999.0;
    String ancilliary_variables "WDIR_QC";
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Wind";
    String long_name "Wind speed";
    String sensor_manufacturer "Vaisala";
    String sensor_model "Weather WXT520";
    String sensor_mount "mounted_on_surface_buoy";
    String sensor_serial_number "J3120014";
    String standard_name "wind_speed";
    String units "m/s";
    Float64 valid_max 100.0;
  }
  AIRT_QC {
    String _Unsigned "false";
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String flag_meanings "unknown good_data probably_good_data potentially_correctable_bad_data bad_data nominal_value interpolated_value missing_value";
    String flag_values "0, 1, 2, 3, 4, 5, 7, 8,9";
    String ioos_category "Quality";
    String long_name "quality flag for air_temperature";
  }
  RELH_QC {
    String _Unsigned "false";
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String flag_meanings "unknown good_data probably_good_data potentially_correctable_bad_data bad_data nominal_value interpolated_value missing_value";
    String flag_values "0, 1, 2, 3, 4, 5, 7, 8,9";
    String ioos_category "Quality";
    String long_name "quality flag for relative_humidity";
  }
  ATMP_QC {
    String _Unsigned "false";
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String flag_meanings "unknown good_data probably_good_data potentially_correctable_bad_data bad_data nominal_value interpolated_value missing_value";
    String flag_values "0, 1, 2, 3, 4, 5, 7, 8,9";
    String ioos_category "Quality";
    String long_name "quality flag for air_pressure";
  }
  WDIR_QC {
    String _Unsigned "false";
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String flag_meanings "unknown good_data probably_good_data potentially_correctable_bad_data bad_data nominal_value interpolated_value missing_value";
    String flag_values "0, 1, 2, 3, 4, 5, 7, 8,9";
    String ioos_category "Quality";
    String long_name "quality flag for wind_direction";
  }
  WSPD_QC {
    String _Unsigned "false";
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String flag_meanings "unknown good_data probably_good_data potentially_correctable_bad_data bad_data nominal_value interpolated_value missing_value";
    String flag_values "0, 1, 2, 3, 4, 5, 7, 8,9";
    String ioos_category "Quality";
    String long_name "quality flag for wind_speed";
  }
  NC_GLOBAL {
    String area "North Atlantic Ocean";
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "station_id, latitude, longitude, ???";
    String citation "These data were collected and made freely available by PLOCAN through international and national projects that contribute to ESTOC observatory.";
    String Conventions "CF-1.10, COARDS, ACDD-1.3";
    String creator_email "observatory@plocan.eu";
    String creator_name "PLOCAN";
    String creator_type "institution";
    String creator_url "http://www.plocan.eu/";
    String data_assembly_center "PLOCAN";
    String data_mode "D";
    String data_type "OceanSITES time-series data";
    String date_created "2015-07-09T18:11:36.047750Z";
    String featureType "TimeSeries";
    String format_version "1.3";
    String history 
"Mooring observation
2025-10-26T08:42:10Z http://data.plocan.eu/thredds/dodsC/estoc/buoy-surface/dm_meteo/OS_ESTOC-PLOCAN_2014_D_FIXO3.nc
2025-10-26T08:42:10Z http://erddap.apps.plocan.eu/griddap/OS_ESTOC-PLOCAN_2014_D_FIXO3.das";
    String id "estoc/buoy-surface/dm_meteo/OS_ESTOC-PLOCAN_2014_D_FIXO3.nc";
    String infoUrl "http://data.plocan.eu/thredds/PLOCAN-Observatory_Data-Policy_v2.pdf";
    String institution "Oceanic Platform of the Canary Islands- PLOCAN";
    String keywords "air, air pressure, air temperature, air_pressure, air_temperature, AIRT, AIRT_QC, atmosphere, atmospheric, ATMP, ATMP_QC, canary, data, data., direction, earth, Earth Science > Atmosphere > Atmospheric Pressure > Atmospheric Pressure Measurements, Earth Science > Atmosphere > Atmospheric Pressure > Sea Level Pressure, Earth Science > Atmosphere > Atmospheric Pressure > Static Pressure, Earth Science > Atmosphere > Atmospheric Temperature > Air Temperature, Earth Science > Atmosphere > Atmospheric Temperature > Surface Air Temperature, Earth Science > Atmosphere > Atmospheric Water Vapor > Humidity, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, estoc, estoc-plocan, fixo3, flag, humidity, in-situ, islands, islands-, level, measurements, meteo, meteorology, oceanic, oceansites, platform, plocan, pressure, quality, relative, relative humidity, relative_humidity, RELH, RELH_QC, science, sea, seawater, situ, speed, static, surface, temperature, time, vapor, water, WDIR, WDIR_QC, wind, wind speed and wind direction, wind_speed, wind_to_direction, winds, WSPD, WSPD_QC";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "Data Policy";
    String naming_authority "PLOCAN";
    String netcdf_version "3 CLASSIC";
    String network "FixO3";
    String platform_code "ESTOC-PLOCAN";
    String principal_investigator "Dr. Octavio Llinas";
    String principal_investigator_email "direccion@plocan.eu";
    String processing_level "the data have been initially quality controlled using the recommendations for in-situ data EGOOS and after deployment by comparison with ESTOC time-series";
    String project "FixO3";
    String publisher_email "observatory@plocan.eu";
    String publisher_name "Tania Morales and Andres Cianca";
    String publisher_url "http://www.plocan.eu";
    String site_code "ESTOC";
    String source "Mooring observation";
    String sourceUrl "http://data.plocan.eu/thredds/dodsC/estoc/buoy-surface/dm_meteo/OS_ESTOC-PLOCAN_2014_D_FIXO3.nc";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "OceanSITES ESTOC in-situ data. The European Station forTime-series in the Ocean, Canary Islands (ESTOC) is a sustained and multidisciplinary observatory located at the east central North Atlantic. The ESTOC goal is the creation of an Eulerian long time series on an inter- and multidisciplinary basis in order to monitor and help understand oceanic long-term variability in the North Atlantic subtropical gyre. ESTOC is providing hydrographic and biogeochemical time-series datasets from 1994. Activities include a ship-based observation program (observations of physical, chemical and biological parameters) and one moored structure with meteorological and oceanic surface observations, as well as in the water column.";
    String time_coverage_duration "P6M20D";
    String time_coverage_end "2014-12-22T14:09:22Z";
    String time_coverage_resolution "PT1H";
    String time_coverage_start "2014-06-02T15:28:07Z";
    String title "dm meteo, OS ESTOC-PLOCAN 2014 D FIXO3 (OceanSITES ESTOC in-situ data.)";
    String update_interval "void";
    String wmo_platform_code "13471";
  }
}

Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. griddap uses the OPeNDAP (external link)

Data Access Protocol (DAP) (external link)

and its projection 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.

(easy) You can get data by using the dataset's Data Access Form. It makes 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.

griddap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][latitude][longitude]).

For details, see the griddap Documentation.

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