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Dataset Title:  North Sea, DIVAnd 4D 6-year seasonal analysis of Water body phosphate 1980/
2020 v2021 [time][depth][lat][lon], 0.1deg, 1977-2017
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Institution:  Aarhus University, Department of Bioscience, Marine Ecology Roskilde   (Dataset ID: North_Sea_PO_4D_e605_8f99_3aa5)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | 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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 3.799872e+8, 1.539648e+9;
    String axis "T";
    String calendar "standard";
    String climatology "climatology_bounds";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 actual_range 0.0, 500.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 47.0, 63.0;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -20.0, 25.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Water_body_phosphate {
    Float32 _FillValue 9.96921e+36;
    String cell_methods "time: mean within years time: mean over years";
    String long_name "Water body phosphate";
    Float32 missing_value 9.96921e+36;
    String standard_name "water_body_phosphate";
    String units "1e-3";
  }
  Water_body_phosphate_L1 {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Water body phosphate masked using relative error threshold 0.3";
    Float32 missing_value 9.96921e+36;
    String standard_name "water_body_phosphate";
    String units "1e-3";
  }
  Water_body_phosphate_L2 {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Water body phosphate masked using relative error threshold 0.5";
    Float32 missing_value 9.96921e+36;
    String standard_name "water_body_phosphate";
    String units "1e-3";
  }
  Water_body_phosphate_relerr {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String long_name "Relative error of Water body phosphate";
    Float32 missing_value 9.96921e+36;
    String units "1";
    Float32 valid_max 1.0;
    Float32 valid_min 0.0;
  }
  NC_GLOBAL {
    String abstract "Moving 6-year analysis and visualization of Water body phosphate in the North Sea. Four seasons (December-February, March-May, June-August, September-November). Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network. Description of DIVA analysis: Geostatistical data analysis by DIVAnd (Data-Interpolating Variational Analysis) tool, version 2.7.9. results were subjected to the minfield option in DIVAnd to avoid negative/underestimated values in the interpolated results; error threshold masks L1 (0.3) and L2 (0.5) are included as well as the unmasked field. The depth dimension allows visualizing the gridded field at various depths.";
    String acknowledgement "EMODNET-chemistry";
    String acknowledgment "Aggregated data products are generated by EMODnet Chemistry under the support of DG MARE Call for Tenders EASME/EMFF/2020/3.1.11/Lot 5/SI2.846161)";
    String area_keywords "North Sea";
    String area_keywords_urn "SDN:C19::1_2";
    String Author_e_mail "Martin Mørk Larsen <mml@bios.au.dk>, Jonas K. Rømer <jkr@bios.au.dk>";
    String bathymetry_source "GEBCO Compilation Group (2020) GEBCO 2020 Grid (doi:10.5285/a29c5465-b138-234d-e053-6c86abc040b9)";
    String cdm_data_type "Grid";
    String citation "Usage is subject to mandatory citation: \"This resource was generated in the framework of EMODnet Chemistry, under the support of DG MARE Call for Tender EASME/EMFF/2020/3.1.11/European Marine Observation and Data Network (EMODnet) - Lot 5 - Chemistry\"";
    String comment "Every year of the time dimension corresponds to a 6-year centred average for the seasons: winter (Dec-Feb), spring (Mar-May), summer (Jun-Aug), autumn (Sep-Nov). Horizontal resolution 0.1 degree by 0.1 degree.";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_name "Aarhus University, Department of Bioscience, Marine Ecology Roskilde";
    String creator_type "institution";
    String creator_url "https://doi.org/10.6092/A8CFB472-10DB-4225-9737-5A60DA9AF523";
    String data_access "http://ec.oceanbrowser.net/data/emodnet-domains";
    String date "2023-03-30T11:12:53";
    String DIVA_references "Barth, A., Beckers, J.-M., Troupin, C., Alvera-Azcarate, A., and Vandenbulcke, L. (2014): divand-1.0: n-dimensional variational data analysis for ocean observations, Geosci. Model Dev., 7, 225-241, doi: 10.5194/gmd-7-225-2014";
    String documentation "https://doi.org/doi_of_doc";
    String doi "https://doi.org/10.13120/56a71dd3-667a-4315-8281-6a0df1a98a53";
    Float64 Easternmost_Easting 25.0;
    String file_name "./NorthSea/output/Water_body_phosphate_NorthSea.4Danl.nc";
    Float64 geospatial_lat_max 63.0;
    Float64 geospatial_lat_min 47.0;
    Float64 geospatial_lat_resolution 0.1;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 25.0;
    Float64 geospatial_lon_min -20.0;
    Float64 geospatial_lon_resolution 0.1;
    String geospatial_lon_units "degrees_east";
    String history 
"Fri Sep  1 10:26:40 2023: ncks -O Water_body_phosphate.4Danl.nc Water_body_phosphate.4Danl.nc
2024-03-28T12:12:15Z http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-domains/By_sea_regions/North_Sea/Water_body_phosphate.4Danl.nc
2024-03-28T12:12:15Z https://erddap.emodnet.eu/griddap/North_Sea_PO_4D_e605_8f99_3aa5.das";
    String id "DatasetScan/emodnet-domains/By_sea_regions/North_Sea/Water_body_phosphate.4Danl.nc";
    String infoUrl "https://doi.org/10.6092/A8CFB472-10DB-4225-9737-5A60DA9AF523";
    String institution "Aarhus University, Department of Bioscience, Marine Ecology Roskilde";
    String institution_urn "SDN:EDMO::729";
    String keywords "6-year, aarhus, analysis, bioscience, body, data, department, depth, divand, ecology, error, latitude, longitude, marine, masked, north, phosphate, po4, relative, roskilde, sea, seasonal, seawater, threshold, time, university, using, v2021, water, water_body_phosphate, Water_body_phosphate_L1, Water_body_phosphate_L2, Water_body_phosphate_relerr, year";
    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 NCO "netCDF Operators version 4.9.9 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)";
    Float64 Northernmost_Northing 63.0;
    String parameter_keyword "Water body phosphate";
    String parameter_keyword_urn "SDN:P35::EPC00007";
    String product_code "AU-ECOS-North-SEA-DIN-2.0.ANA";
    String product_id "56a71dd3-667a-4315-8281-6a0df1a98a53";
    String product_version "2.0";
    String project "EMODNET Chemistry phase 5";
    String search_keywords "Phosphate concentration parameters in the water column";
    String search_keywords_urn "SDN:P02::PHOS";
    String source "observational data from SeaDataNet and World Ocean Atlas";
    String sourceUrl "http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-domains/By_sea_regions/North_Sea/Water_body_phosphate.4Danl.nc";
    Float64 Southernmost_Northing 47.0;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "North Sea - DIVAnd 4D 6-year seasonal analysis of Water body phosphate 1980/2020 v2021. Moving 6-year analysis and visualization of Water body phosphate winter (dec-feb) in the North Sea. Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network. Description of DIVA analysis: Geostatistical data analysis by DIVAnd (Data-Interpolating Variational Analysis) tool, version 2.7.2. results were subjected to the minfield option in DIVAnd to avoid negative/underestimated values in the interpolated results; error threshold masks L1 (0.3) and L2 (0.5) are included as well as the unmasked field. The depth dimension allows visualizing the gridded field at various depths.";
    String time_coverage_end "2018-10-16T00:00:00Z";
    String time_coverage_start "1982-01-16T00:00:00Z";
    String title "North Sea, DIVAnd 4D 6-year seasonal analysis of Water body phosphate 1980/2020 v2021 [time][depth][lat][lon], 0.1deg, 1977-2017";
    String WEB_visualisation "http://ec.oceanbrowser.net/emodnet/";
    Float64 Westernmost_Easting -20.0;
  }
}

 

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.

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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