Make A Graph

Dataset Title:	Presence/Absence maps of phytoplankton in the Greater North Sea
Institution:	DELTARES (Dataset ID: biology_6587_phyto_north_sea_4bd1_a08c_0019)
Range:	longitude = -15.875 to 8.875°E, latitude = 46.0625 to 65.9375°N
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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Constraints	Optional Constraint #1		Optional Constraint #2

Server-side Functions

distinct()

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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 {
 s {
  aphiaid {
    Int32 _FillValue 2147483647;
    Int32 actual_range 17651, 1346683;
    String long_name "Life Science Identifier - World Register of Marine Species";
    String units "level";
  }
  season {
    Int32 _FillValue 2147483647;
    Int32 actual_range 1, 4;
    String long_name "Season Level";
    String units "level";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 46.0625, 65.9375;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -15.875, 8.875;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  probability_occurrence {
    Float64 _FillValue -99999.9;
    Float64 actual_range 0.0, 1.0;
    String grid_mapping "crs";
    String long_name "Probability of occurrence of biological entity";
    Float64 missing_value -99999.9;
  }
 }
  NC_GLOBAL {
    String acknowledgement "European Marine Observation Data Network (EMODnet) Biology project (EASME/EMFF/2017/1.3.1.2/02/SI2.789013), funded by the European Union under Regulation (EU) No 508/2014 of the European Parliament and of the Council of 15 May 2014 on the European Maritime and Fisheries Fund";
    String cdm_data_type "Other";
    String citation "Willem Stolte, & Luuk van der Heijden (2020). Presence/Absence maps of phytoplankton in the Greater North Sea.";
    String comment "Uses attributes recommended by https://cfconventions.org";
    String Conventions "CF-1.8, COARDS, ACDD-1.3";
    String creator_email "willem.stolte@deltares.nl";
    String creator_institution "DELTARES";
    String creator_name "Willem Stolte";
    String creator_type "person";
    String creator_url "www.deltares.nl";
    String date_created "2022-08-18";
    String date_issued "2020-11-06";
    String date_metadata_modified "2021-02-26";
    String date_modified "2021-02-26";
    Float64 Easternmost_Easting 8.875;
    Float64 geospatial_lat_max 65.9375;
    Float64 geospatial_lat_min 46.0625;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 8.875;
    Float64 geospatial_lon_min -15.875;
    String geospatial_lon_units "degrees_east";
    String grid_mapping_geographic_crs_name "WGS 84";
    String grid_mapping_GeoTransform "-180 0.08333333333333333 0 90 0 -0.08333333333333333 ";
    Float64 grid_mapping_inverse_flattening 298.257223563;
    String grid_mapping_long_name "Coordinate Reference System";
    Float64 grid_mapping_longitude_of_prime_meridian 0.0;
    String grid_mapping_name "latitude_longitude";
    String grid_mapping_prime_meridian_name "Greenwich";
    String grid_mapping_reference_ellipsoid_name "WGS 84";
    Float64 grid_mapping_semi_major_axis 6378137.0;
    Float64 grid_mapping_semi_minor_axis 6356752.314245179;
    String grid_mapping_spatial_ref "GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563]],PRIMEM[\"Greenwich\",0],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AXIS[\"Latitude\",NORTH],AXIS[\"Longitude\",EAST],AUTHORITY[\"EPSG\",\"4326\"]]";
    String history 
"https://github.com/EMODnet/EMODnet-Biology-Phytoplankton-Greater-BalticSea
2024-04-19T21:05:42Z (local files)
2024-04-19T21:05:42Z https://erddap.emodnet.eu/tabledap/biology_6587_phyto_north_sea_4bd1_a08c_0019.das";
    String infoUrl "https://www.emodnet-biology.eu/data-catalog?module=dataset&dasid=6587";
    String institution "DELTARES";
    String keywords "absence, ane, aphiaid, biological, data, deltares, entity, greater, identifier, latitude, level, life, longitude, maps, marine, north, north sea, occurrence, phytoplankton, presence, presence/absence, probability, probability_occurrence, register, science, sea, season, southern bight, species, world";
    String license "CC-BY";
    String metadata_link "https://www.emodnet-biology.eu/data-catalog?module=dataset&dasid=6587";
    String naming_authority "emodnet-biology.eu";
    Float64 Northernmost_Northing 65.9375;
    String product_version "1";
    String project "EMODnet-Biology";
    String publisher_email "bio@emodnet.eu";
    String publisher_institution "Flanders Marine Institute (VLIZ)";
    String publisher_name "EMODnet Biology Data Management Team";
    String publisher_type "group";
    String publisher_url "www.emodnet-biology.eu";
    String references "https://www.emodnet-biology.eu/blog/presenceabsence-maps-phytoplankton-greater-north-sea";
    String sea_name "North Sea";
    String source "https://github.com/EMODnet/EMODnet-Biology-Phytoplankton-Greater-BalticSea";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 46.0625;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "The project aims to produce comprehensive data product of the occurence and absence of (phyto)plankton species. As a basis, data from EMODnet Biology are used. The selection of relevant datasets is optimized in order to find all planktonic species, and exclude all species that are not planktonic. The occurences from EMODnet Biology were complemenented with absence data assuming fixed species lists within each dataset and year. The products are presented as maps of the distribution of the 100 most common species of (phyto)plankton in the Greater North Sea. This product then is also used for interpolated maps, using the DIVA software.";
    String title "Presence/Absence maps of phytoplankton in the Greater North Sea";
    Float64 Westernmost_Easting -15.875;
  }
}

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.

(easy) You can get data by using the dataset's Data Access Form or Subset form. They make 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.

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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