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Dataset Title:  Black Sea, Danube Delta, DIVAnd 4D seasonal analysis of Water body dissolved
oxygen concentration 1970/2019 v2023 [time][depth][lat][lon], 0.01°, 1994
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Institution:  National Institute for Marine Research and Development "Grigore Antipa"   (Dataset ID: V2023_chemistry_5bf0_b736_fbff)
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 7.586784e+8, 7.822656e+8;
    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, 100.0;
    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 43.7, 45.6;
    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 28.5, 30.5;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Water_body_dissolved_oxygen_concentration_L1 {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "Water body dissolved oxygen concentration masked using relative error threshold 0.3";
    Float32 missing_value 9.96921e+36;
    String standard_name "water_body_dissolved_oxygen_concentration";
    String units "umol/l";
  }
  Water_body_dissolved_oxygen_concentration_L2 {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "Water body dissolved oxygen concentration masked using relative error threshold 0.5";
    Float32 missing_value 9.96921e+36;
    String standard_name "water_body_dissolved_oxygen_concentration";
    String units "umol/l";
  }
  Water_body_dissolved_oxygen_concentration_relerr {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "Relative error of Water body dissolved oxygen concentration";
    Float32 missing_value 9.96921e+36;
    String units "1";
    Float32 valid_max 1.0;
    Float32 valid_min 0.0;
  }
  NC_GLOBAL {
    String abstract 
"Water body chlorophyll-a - Seasonal Climatology for NW Black Sea (region in front of Danube Delta) for the period 2000-2019 on the domain: Lon E28.5-30.5 deg E, Lat N43.7-45.6 deg N. 
Season definition: winter: December-February, - spring: March-May, - summer: June-August, - autumn: September-November.
Units: mg/m^3.
Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network.
Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.9, using GEBCO 30sec topography for the spatial connectivity of water masses. Horizontal correlation length of 47.73km and vertical correlation length of 45m were applied. 
The horizontal resolution of the produced DIVAnd maps grids is 0.01 degrees.
The vertical resolution is 11 depth levels: 0.0, 2.0, 4.0, 6.0, 8.0, 10.0, 15.0, 20.0, 25.0, 30.0, 40.0m.  
The error variance (epsilon2): 1 
An anamorphosis transformation was applied to the data: threshold value=200.
The mean value was used as background analysis field.
Quality control of the observations was applied using the interpolated field: QCMETHOD=3 and visual inspection (Observations with residuals outside the minimum and maximum values of the 99% quantile were discarded from the analysis after thoroughly visual inspection).";
    String acknowledgement "Aggregated data products are generated by EMODnet Chemistry under the support of DG MARE Call for Tenders EASME/2020/OP/0006 (EASME/EMFF/2020/3.1.11/Lot 5/SI2.846161)";
    String area_keywords "Black Sea";
    String area_keywords_urn "SDN:C19::3_3";
    String Author_e_mail "Gheorghe Sarbu <ghesarbu@gmail.com>, Luminita Buga <lbuga@web.de>";
    String Bathymetry_source "The GEBCO Digital Atlas published by the British Oceanographic Data Centre on behalf of IOC and IHO, 2003. Resolution used for the analysis: 30 arc-second";
    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 Conventions "CF-1.60, COARDS, ACDD-1.3";
    String creator_name "National Institute for Marine Research and Development \"Grigore Antipa\"";
    String creator_url "http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-projects/v2023/Coastal_areas/Black_Sea-_Danube_Delta/Water_body_dissolved_oxygen_concentration.nc.html";
    String date "2023-02-22T14:57:38";
    String DIVA_code_doi "10.5281/zenodo.4715361";
    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 DIVAnd_source "https://github.com/gher-uliege/DIVAnd.jl";
    String DIVAnd_version "v2.7.9";
    String doi "https://doi.org/10.13120/fda28b2d-86ed-4aa9-b1ea-a3bffde379fb";
    Float64 Easternmost_Easting 30.5;
    String file_name "Coastal_areas/Black_Sea_-_Danube_Delta/Water_body_dissolved_oxygen_concentration.nc";
    Float64 geospatial_lat_max 45.6;
    Float64 geospatial_lat_min 43.7;
    Float64 geospatial_lat_resolution 0.009999999999999993;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 30.5;
    Float64 geospatial_lon_min 28.5;
    Float64 geospatial_lon_resolution 0.01;
    String geospatial_lon_units "degrees_east";
    String history 
"Tue Aug 29 17:00:35 2023: ncks -O Water_body_dissolved_oxygen_concentration.nc Water_body_dissolved_oxygen_concentration.nc
2024-12-04T08:46:31Z http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-projects/v2023/Coastal_areas/Black_Sea-_Danube_Delta/Water_body_dissolved_oxygen_concentration.nc
2024-12-04T08:46:31Z https://erddap.emodnet.eu/griddap/V2023_chemistry_5bf0_b736_fbff.das";
    String id "DatasetScan/emodnet-projects/v2023/Coastal_areas/Black_Sea-_Danube_Delta/Water_body_dissolved_oxygen_concentration.nc";
    String infoUrl "http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-projects/v2023/Coastal_areas/Black_Sea-_Danube_Delta/Water_body_dissolved_oxygen_concentration.nc.html";
    String institution "National Institute for Marine Research and Development \"Grigore Antipa\"";
    String institution_urn "SDN:EDMO::697";
    String keywords "analysis, antipa, black, body, chla, chlorophyll, chlorophyll-a, concentration, control, danube, data, delta, depth, development, dissolved, dissolved o2, divand, error, grigore, institute, latitude, longitude, marine, masked, national, O2, oxygen, quality, relative, research, sea, seasonal, seawater, statistics, threshold, time, using, v2023, water, water_body_dissolved_oxygen_concentration, Water_body_dissolved_oxygen_concentration_L1, Water_body_dissolved_oxygen_concentration_L2, Water_body_dissolved_oxygen_concentration_relerr";
    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 45.6;
    String parameter_keyword "Water body dissolved oxygen concentration";
    String parameter_keyword_urn "SDN:P35::EPC00002";
    String product_code "Black_Sea-Danube_Delta-Water_body_dissolved_oxygen_concentration-v2023-ANA";
    String product_id "fda28b2d-86ed-4aa9-b1ea-a3bffde379fb";
    String product_version "3.0";
    String project "EMODnet-Chemistry";
    String search_keywords "Dissolved oxygen parameters in the water column";
    String search_keywords_urn "SDN:P02::DOXY";
    String source "Observational data from SeaDataNet/EMODNet Chemistry Data Network";
    String sourceUrl "http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-projects/v2023/Coastal_areas/Black_Sea-_Danube_Delta/Water_body_dissolved_oxygen_concentration.nc";
    Float64 Southernmost_Northing 43.7;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary 
"Black Sea - Danube Delta - DIVAnd 4D seasonal analysis of Water body dissolved oxygen concentration 1970/2019 v2023. Water body chlorophyll-a - Seasonal Climatology for NW Black Sea (region in front of Danube Delta) for the period 2000-2019 on the domain: Lon E28.5-30.5 deg E, Lat N43.7-45.6 deg N. 
Season definition: winter: December-February, - spring: March-May, - summer: June-August, - autumn: September-November.
Units: mg/m^3.
Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network.
Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.9, using GEBCO 30sec topography for the spatial connectivity of water masses. Horizontal correlation length of 47.73km and vertical correlation length of 45m were applied. 
The horizontal resolution of the produced DIVAnd maps grids is 0.01 degrees.
The vertical resolution is 11 depth levels: 0.0, 2.0, 4.0, 6.0, 8.0, 10.0, 15.0, 20.0, 25.0, 30.0, 40.0m.  
The error variance (epsilon2): 1 
An anamorphosis transformation was applied to the data: threshold value=200.
The mean value was used as background analysis field.
Quality control of the observations was applied using the interpolated field: QCMETHOD=3 and visual inspection (Observations with residuals outside the minimum and maximum values of the 99% quantile were discarded from the analysis after thoroughly visual inspection).";
    String time_coverage_end "1994-10-16T00:00:00Z";
    String time_coverage_start "1994-01-16T00:00:00Z";
    String title "Black Sea, Danube Delta, DIVAnd 4D seasonal analysis of Water body dissolved oxygen concentration 1970/2019 v2023 [time][depth][lat][lon], 0.01°, 1994";
    String WEB_visualisation "https://emodnet.ec.europa.eu/geoviewer/";
    Float64 Westernmost_Easting 28.5;
  }
}

 

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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