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Dataset Title:  Probability of occurrence 3D map Subscribe RSS
Institution:  BRTA   (Dataset ID: biology_3Dmaps_b1af_c515_4ef4)
Information:  Summary ? | License ? | FGDC | Metadata | Background (external link) | Files | Make a graph
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 aphiaid ?      30    39.37931 (uneven)
  < slider >
 depth (m) ?      47    21.73913 (uneven)
  < slider >
 latitude (degrees_north) ?      692    0.25 (even)
  < slider >
 longitude (degrees_east) ?      666    0.25 (even)
  < slider >
Grid Variables (which always also download all of the dimension variables) 
 occurrence_probability ?

File type: (more information)

(Documentation / Bypass this form) ?
(Please be patient. It may take a while to get the data.)


The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  aphiaid {
    Int32 actual_range 126285, 127427;
    String long_name "Life Science Identifier - World Register of Marine Species";
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Int32 actual_range 0, 1000;
    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 -82.875, 89.875;
    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 -97.875, 68.375;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  occurrence_probability {
    Float64 _FillValue -99999.0;
    String long_name "Probability of occurrence of biological entity";
    String acknowledgement "We acknowledge Ocean Biodiversity Information System (OBIS; https://obis.org/) and the Global Biodiversity Information Facility (GBIF; https://www.gbif.org/) for providing fish global occurrences studied here. We also thank to publicly available datasets Copernicus (http://marine.copernicus.eu/services-portfolio/access-to-products/) and the World Ocean Atlas (https://www.ncei.noaa.gov/products/world-ocean-atlas) for providing environmental data";
    String cdm_data_type "Grid";
    String citation "Valle, M., E. Ramírez-Romero, L. Ibaibarriaga, L. Citores, J. A. Fernandes-Salvador, and G. Chust. 2024. Pan-Atlantic 3D distribution model incorporating water column for commercial fish. Ecological Modelling 490:110632. https://doi.org/10.1016/j.ecolmodel.2024.110632";
    String comment "Uses attributes recommended by https://cfconventions.org";
    String Conventions "CF-1.8, COARDS, ACDD-1.3";
    String creator_email "mvalle@azti.es";
    String creator_institution "AZTI, Marine research, Basque Research and Technology Alliance (BRTA)";
    String creator_name "Mireia Valle";
    String creator_type "person";
    String creator_url "www.azti.es";
    String date_created "2024-03-21";
    Float64 Easternmost_Easting 68.375;
    Float64 geospatial_lat_max 89.875;
    Float64 geospatial_lat_min -82.875;
    Float64 geospatial_lat_resolution 0.25;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 68.375;
    Float64 geospatial_lon_min -97.875;
    Float64 geospatial_lon_resolution 0.25;
    String geospatial_lon_units "degrees_east";
    String history 
2024-06-23T16:48:17Z (local files)
2024-06-23T16:48:17Z https://erddap.emodnet.eu/erddap/griddap/biology_3Dmaps_b1af_c515_4ef4.das";
    String infoUrl "www.azti.es";
    String institution "BRTA";
    String keywords "aphiaid, biological, brta, data, depth, entity, map, occurrence, occurrence_probability, probability";
    String license "CC-BY";
    String naming_authority "emodnet-biology.eu";
    Float64 Northernmost_Northing 89.875;
    String project "MISSION ATLANTIC project-European Union’s Horizon 2020 research and innovation programme under grant agreements No 862428";
    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 source "https://github.com/missionatlantic/3D_SDMs_AtlanticFish";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -82.875;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "3-D habitat suitability maps (HSMS) or probability of occurrence maps for main commercial fish species, built using Shape-Constrained Generalized Additive Models (SC-GAMs)";
    String title "Probability of occurrence 3D map";
    Float64 Westernmost_Easting -97.875;


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
For example,
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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