Make A Graph

Dataset Title:	Trawling impact on sedimentary macrofauna in the Dutch part of the Northsea, for 2009
Institution:	NIOZ (Dataset ID: biology-BFiat-2009_80fc_6d47_ad88)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

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Stop

longitude (degrees_east)

latitude (degrees_north)

Graph Settings
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Minimum:	Maximum:	N Sections:
Draw land mask:
Y Axis Minimum:	Maximum:

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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 {
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range 2.6057857142857146, 6.644214285714286;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 51.60578635014837, 55.49421364985163;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  fraction_biomass_lost {
    Float64 _FillValue -99999.0;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String comments "this variable is unitless";
    String formula "(1 - Biomass_observed/Biomass_carrying_capacity)";
    String long_name "fraction of macrofaunal biomass lost due to bottom trawling for 2009, estimated as 1-D/K (BFIAT approach)";
    String units "1";
  }
  fraction_BPc_lost {
    Float64 _FillValue -99999.0;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String comments "this variable is unitless";
    String formula "(1 - BPc_observed/BPc_carrying_capacity)";
    String long_name "fraction of bioturbation potential (BPc) lost due to bottom trawling for 2009, estimated as 1-BPc/K_BPc (BFIAT approach)";
    String units "1";
  }
  fraction_IPc_lost {
    Float64 _FillValue -99999.0;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String comments "this variable is unitless";
    String formula "(1 - IPc_observed/IPc_carrying_capacity)";
    String long_name "fraction of bioirrigation potential (IPc) lost due to bottom trawling for 2009, estimated as 1-IPc/K_IPc (BFIAT approach)";
    String units "1";
  }
  NC_GLOBAL {
    String acknowledgement "Data product created under the European Marine Observation Data Network (EMODnet) Biology Phase V";
    String cdm_data_type "Grid";
    String citation "Soetaert, K.;(2026); Trawling impact on sedimentary macrofauna in the Dutch part of the North Sea for 2009. rine Observation Data Network (EMODnet) Biology project Phase V (CINEA/EMFAF/2022/3.5.2/Lot I/SI2.895681), funded by the by the European Union under Rend of the Council of 15 May 2014 on the European Maritime and Fisheries Fund";
    String comment "Uses R-packages Bfiat and Btrait";
    String Conventions "CF-1.62, COARDS, ACDD-1.3";
    String creator_email "karline.soetaert@nioz.nl";
    String creator_institution "Netherlands Institute for Sea Research (NIOZ)";
    String creator_name "Karline soetaert";
    String creator_url "www.nioz.nl";
    String date_created "2026-08-20";
    String date_issued "2026-08-25";
    String date_modified "2026-08-25";
    Float64 Easternmost_Easting 6.644214285714286;
    Float64 geospatial_lat_max 55.49421364985163;
    Float64 geospatial_lat_min 51.60578635014837;
    Float64 geospatial_lat_resolution 0.011572700296735891;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 6.644214285714286;
    Float64 geospatial_lon_min 2.6057857142857146;
    Float64 geospatial_lon_resolution 0.011571428571428573;
    String geospatial_lon_units "degrees_east";
    String history 
"Thu Aug 27 07:59:07 2026: ncpdq -a lon,lat fishing_impact_2009_bfiat.nc fishing_impact_2009_bfiat.nc
Thu Aug 27 07:58:44 2026: ncpdq -a longitude,latitude fishing_impact_2009_bfiat.nc fishing_impact_2009_bfiat.nc
https://github.com/EMODnet/Bfiat_application_MWTL_2009
2026-08-27T17:50:40Z (local files)
2026-08-27T17:50:40Z https://erddap.emodnet.eu/griddap/biology-BFiat-2009_80fc_6d47_ad88.das";
    String infoUrl "www.nioz.nl";
    String institution "NIOZ";
    String keywords "1-bpc/k, 1-d/k, 1-ipc/k, approach, bfiat, bioirrigation, biomass, bioturbation, bottom, bpc, data, due, dutch, estimated, fishing, fraction, fraction_biomass_lost, fraction_BPc_lost, fraction_IPc_lost, impact, ipc, lost, macrofauna, macrofaunal, nioz, northsea, part, potential, sedimentary, trawling";
    String license "CC-BY";
    String naming_authority "https://emodnet.ec.europa.eu/en/biology";
    String NCO "netCDF Operators version 4.9.1 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)";
    Float64 Northernmost_Northing 55.49421364985163;
    String project "EMODnet-Biology";
    String publisher_email "bio@emodnet.eu";
    String publisher_name "EMODnet-Biology";
    String publisher_type "institution";
    String publisher_url "https://emodnet.ec.europa.eu/en/biology";
    String references "Beauchard, Olivier and Soetaert, Karline, 2026 Bottom fishing assessment tool: An R package to model the effects of bottom trawling on the marine benthos. Ecological Applications(36) 5, e70282. URL https://doi.org/10.1002/eap.70282";
    String sea_name "North Sea";
    String source "https://github.com/EMODnet/Bfiat_application_MWTL_2009";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 51.60578635014837;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "This dataset contains estimates of the impact of trawling on macrofaunal communities in the Dutch part of the North sea for 2009, in terms of total biomass, bioturbation potential and bioirrigation potential. Impact on biomass is represented as one minus the ratio of biomass observed in 2009 over the carrying capacity: (1 - B/K), where B is the observed biomass from 2009 and K the estimated biomass in the absence of fishing (the carrying capacity). The Dutch monitoring data (MWTL) for 2009 were extracted from EMODnet biology; fishing intensity was extracted from ICES. Data creation used the R-packages Btrait and Bfiat; the procedure to assess fishing impact is described in Beauchard and Soetaert (2026).";
    Float64 time_coverage_duration 1.0;
    String time_coverage_resolution "year";
    String title "Trawling impact on sedimentary macrofauna in the Dutch part of the Northsea, for 2009";
    Float64 Westernmost_Easting 2.6057857142857146;
  }
}

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.