GeoTIFF
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Scale 1:
Resolution
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High resolution composite DTM based on multi beam surveys in Kiel Bay. All data acquired in the years 2013-2016.
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High resolution composite DTM based on multi beam surveys in German Bodden waters. All data acquired in 2016.
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High resolution composite DTM based on multi beam surveys in Flensburg Bay. All data acquired in the years 2012-2013.
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Gridded mean probability of seabass spawning area occurence over all spawning months in the Bay of Biscay. The gridded dataset (horizontal resolution 0.05 x 0.05 decimal degrees, i.e. approximately 4.5km) was created by (Dambrine et al, 2020) by performing a geostatistical analysis of fishing data from geolocated vessels.
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January spawning ground occurrence probability was modeled as part of INTERREG 3a CHARM II project (2006-2008). The gridded dataset (horizontal resolution 0.009 x 0.009 decimal degrees, i.e. approximately 800m) was created by (Carpentier et al, 2009) by fitting a Generalised Linear Model (GLM) using IBTS survey data and a series of environmental raster datasets. More information is available in the metadata of the original data source (Carpentier et al, 2009) and the CHARM II final report - see lineage for a link to these items.
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January spawning ground occurrence probability was modeled as part of INTERREG 3a CHARM II project (2006-2008). The gridded dataset (horizontal resolution 0.009 x 0.009 decimal degrees, i.e. approximately 800m) was created by (Carpentier et al, 2009) by fitting a Generalised Linear Model (GLM) using IBTS survey data and a series of environmental raster datasets. More information is available in the metadata of the original data source (Carpentier et al, 2009) and the CHARM II final report - see lineage for a link to these items.
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January spawning ground occurrence probability was modeled as part of INTERREG 3a CHARM II project (2006-2008). The gridded dataset (horizontal resolution 0.009 x 0.009 decimal degrees, i.e. approximately 800m) was created by (Carpentier et al, 2009) by fitting a Generalised Linear Model (GLM) using IBTS survey data and a series of environmental raster datasets. More information is available in the metadata of the original data source (Carpentier et al, 2009) and the CHARM II final report - see lineage for a link to these items.
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January spawning ground occurrence probability was modeled as part of INTERREG 3a CHARM II project (2006-2008). The gridded dataset (horizontal resolution 0.009 x 0.009 decimal degrees, i.e. approximately 800m) was created by (Carpentier et al, 2009) by fitting a Generalised Linear Model (GLM) using IBTS survey data and a series of environmental raster datasets. More information is available in the metadata of the original data source (Carpentier et al, 2009) and the CHARM II final report - see lineage for a link to these items.
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Spawning areas of whiting (Merlangius merlangus) in the Channel Sea - Modeled occurrence probability
January spawning ground occurrence probability was modeled as part of INTERREG 3a CHARM II project (2006-2008). The gridded dataset (horizontal resolution 0.009 x 0.009 decimal degrees, i.e. approximately 800m) was created by (Carpentier et al, 2009) by fitting a Generalised Linear Model (GLM) using IBTS survey data and a series of environmental raster datasets. More information is available in the metadata of the original data source (Carpentier et al, 2009) and the CHARM II final report - see lineage for a link to these items.
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The haddock (Melanogrammus aeglefinus) spawning grounds dataset is also made available in the SpatialData.gov.scot Metadata Portal. The dataset has been generated using species distribution modeling to identify the likely distribution of haddock spawning in the North Sea and West of Scotland, taking account of certain environmental influences.