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different emission scenarios: A1B, RCP4.5 and RCP 8.5. The data shows model 
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– Please note the applicable attribution statement is as follows: ‘includes 
Crown copyright, Cefas [2023]'**


.. _`https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/)`:
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Modeling techniques: Maximum Entropy (MaxEnt), Generalised Linear Model (GLM), 
Support Vector Machine (SVM), Random Forest and BIOCLIM. Each model was 
trained to capture the environmental requirements of individual fish species, 
using the 20 year-average in the period 1997-2016 of the environmental 
variables: near-bed sea temperature, sea surface temperature, near-bed 
salinity, sea surface salinity, the difference in near-bed and surface 
salinity and temperature (an approximation of stratification), and depth.

Once the models were trained, they were used to study future habitat 
suitability for the 49 commercially-important fish species in 20-year averages 
centered in 2020, 2030, 2040, 2050 and 2060. To produce maps of the suitable 
habitat, the model projections were converted to binary presence/absence data 
using the thresholds that optimized the True Skill Statistics (TSS) of each 
model. The data shows the model agreement, normalised to 1 ("1" denotes all 
ENMs agree an area is suitable, "0" denotes all ENMs agree an area is not 
suitable). The number of ENMs considered for each combination of fish species 
and emission scenario depends on model performance. A ENM model was considered 
if its Area Under the Curve (AUC) score of the Receiver Operator 
Characteristic (ROC) curve was at least 0.7. Model performance is listed in 
the file "Model_performance_AUC.xlsx".

Model input data: Climate change projection data from Met Office and Plymouth 
Marine Laboratory (PML) and species presence and abundance records from online 
databases (Ocean Biodiversity Information System (OBIS), Global Biodiversity 
Information System (GBIF) and Marine Scotland (Moriarty, M., Greenstreet, 
S.P.R. and Rasmussen, J. (2017) Derivation of Groundfish Survey Monitoring and 
Assessment Data Product for the Northeast Atlantic Area. Scottish Marine and 
Freshwater Science, 8, 240pp. `DOI: 10.7489/1984-1`_). Models were trained 
using the R and Maxent softwares. 

Study region: northeast Atlantic shelf. Latitudes between -17° and 9.25°; 
longitudes between 44° and 65°.

These datasets were produced for the study in the article "Climate change 
projections of commercial fish distribution and suitable habitat around 
northwestern Europe", by Bryony L. Townhill, Elena Couce, Jonathan Tinker, 
Susan Kay, John K. Pinnegar, in *Fish and Fisheries* (2023; 
`http://doi.org/10.1111/faf.12773`_). 


.. _`doi: 10.7489/1984-1`:
    https://data.marine.gov.scot/dataset/derivation-groundfish-survey-monitoring-and-assessment-data-product-northeast-atlantic-area

.. _`http://doi.org/10.1111/faf.12773`:
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