Make A Graph

Dataset Title:	Baltic Sea, DIVAnd 6-year seasonal analysis of Water body silicate 1965/2021 v2023 [time][lat][lon], 0.1°, 1967-2018
Institution:	Swedish Meteorological and Hydrological Institute (Dataset ID: V2023_chemistry_d22d_acbf_aa2b)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

time (UTC)

specify just 1 value →

latitude (degrees_north)

longitude (degrees_east)

Graph Settings
Color Bar:	Continuity:	Scale:
Minimum:	Maximum:	N Sections:
Draw land mask:
Y Axis Minimum:	Maximum:

(Please be patient. It may take a while to get the data.)

Optional:
Then set the File Type: (File Type information)
and

or view the URL:
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Click on the map to specify a new center point.

Zoom:

[The graph you specified. Please be patient.]

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 -9.33984e+7, 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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 53.0, 65.9;
    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 9.4, 30.9;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Water_body_silicate_deepest {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Dissolved Nutrients";
    String long_name "Deepest values of Water body silicate";
    Float32 missing_value 9.96921e+36;
    String standard_name "mole_concentration_of_silicate_in_sea_water";
    String units "umol/l";
  }
  NC_GLOBAL {
    String acknowledgement "Aggregated data products are generated by EMODnet Chemistry under the support of DG MARE Call for Tenders EASME/EMFF/2016/006-lot4, EASME/2019/OP/0003-lot4.";
    String area_keywords "Baltic Sea";
    String area_keywords_urn "SDN:C19::2";
    String Author_e_mail "Karin Wesslander <karin.wesslander@smhi.se>";
    String bathymetry_source "The GEBCO 30sec Digital Atlas published by the British Oceanographic Data Centre on behalf of IOC and IHO, 2003";
    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 0.05 degree by 0.05 degree";
    String Conventions "CF-1.8, COARDS, ACDD-1.3";
    String creator_name "Swedish Meteorological and Hydrological Institute";
    String creator_url "https://doi.org/10.13120/fa5c704a-a5ea-4f60-91b5-2bf6a7aded45";
    String date "2023-04-25T14:11:43";
    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-ulg/DIVAnd.jl";
    String DIVAnd_version "2.7.9";
    String documentation "https://doi.org/10.13120/fa5c704a-a5ea-4f60-91b5-2bf6a7aded45";
    String doi "https://doi.org/10.13120/0bb1dcd8-f643-401a-ba58-46463969d2a3";
    Float64 Easternmost_Easting 30.9;
    String file_name "Baltic_Sea/6-year_running_averages/Water_body_silicate.4Danl.nc";
    Float64 geospatial_lat_max 65.9;
    Float64 geospatial_lat_min 53.0;
    Float64 geospatial_lat_resolution 0.10000000000000005;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 30.9;
    Float64 geospatial_lon_min 9.4;
    Float64 geospatial_lon_resolution 0.1;
    String geospatial_lon_units "degrees_east";
    String history 
"Fri Sep  1 09:52:41 2023: ncks -O Water_body_silicate.4Danl.nc Water_body_silicate.4Danl.nc
2024-10-30T23:06:37Z http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-projects/v2023/By_sea_regions/Baltic_Sea/Water_body_silicate.4Danl.nc
2024-10-30T23:06:37Z https://erddap.emodnet.eu/griddap/V2023_chemistry_d22d_acbf_aa2b.das";
    String id "DatasetScan/emodnet-projects/v2023/By_sea_regions/Baltic_Sea/Water_body_silicate.4Danl.nc";
    String infoUrl "https://doi.org/10.13120/fa5c704a-a5ea-4f60-91b5-2bf6a7aded45";
    String institution "Swedish Meteorological and Hydrological Institute";
    String institution_urn "SDN:EDMO::545";
    String keywords "6-year, analysis, baltic, body, chemistry, concentration, data, deepest, dissolved, dissolved nutrients, divand, earth, Earth Science > Oceans > Ocean Chemistry > Silicate, error, hydrological, institute, latitude, longitude, masked, meteorological, mole, mole_concentration_of_silicate_in_sea_water, nutrients, ocean, oceans, relative, science, sea, seasonal, seawater, silicate, statistics, swedish, threshold, time, using, v2023, values, water, water_body_silicate, Water_body_silicate_deepest, Water_body_silicate_deepest_L1, Water_body_silicate_deepest_L2, year";
    String keywords_vocabulary "GCMD Science Keywords";
    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 65.9;
    String parameter_keyword "Water body silicate";
    String parameter_keyword_urn "SDN:P35::EPC00008";
    String product_code "Baltic Sea-Water_body_silicate-v2023-ANA";
    String product_id "0bb1dcd8-f643-401a-ba58-46463969d2a3";
    String product_version "v2023";
    String project "EMODnet Chemistry - Phase 5";
    String search_keywords "Silicate concentration parameters in the water column";
    String search_keywords_urn "SDN:P02::SLCA";
    String source "observational data from SeaDataNet/EMODnet Chemistry Data Network";
    String sourceUrl "http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-projects/v2023/By_sea_regions/Baltic_Sea/Water_body_silicate.4Danl.nc";
    Float64 Southernmost_Northing 53.0;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Baltic Sea - DIVAnd 6-year seasonal analysis of Water body silicate 1965/2021 v2023. 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 0.05 degree by 0.05 degree";
    String time_coverage_end "2018-10-16T00:00:00Z";
    String time_coverage_start "1967-01-16T00:00:00Z";
    String title "Baltic Sea, DIVAnd 6-year seasonal analysis of Water body silicate 1965/2021 v2023 [time][lat][lon], 0.1°, 1967-2018";
    Float64 Westernmost_Easting 9.4;
  }
}

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.