CoClime — probability of phytoplankton (ΧPseudo-nitzschia seriata- complex) presence, Southwest Ireland — present time prediction (1997-2016)

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Dataset information

Country of origin
Updated
2022.05.25 03:38
Created
2022.01.19
Available languages
Irish
Keywords
oceans, environment, location, biota
Quality scoring
250

Dataset description

This is the output of GBM (Gradient Boosting Model) analyses of P. seriata presence and absnece data done by MI OCIS and CoCliME project. This output Dataset shows prediction of probability of P. seriata presence in present time (1997-2016) in SW Ireland. The analyses were performed in R 3.6.3, with the packages tidyverse 1.3.0 for data handling and visualisation, and xgboost 1.2.0.1 for Boosted regression analyses. The Dataset used for analyses is available on MI data catalogue (http://data.marine.ie/geonetwork/srv/eng/catalog.search#/metadata/ie.marine.data:dataset.4445) and the Dataset used for prediction is requested to be included in MI data catalogue ([20]. CDF-t Climate run (Climate_run_corr.rds) in CoCliME model SOP). This Dataset is used to visualise the prediction on R Shiny application for present period (https://marine-institute-ireland.shinyapps.io/P_seriata_probability/). This Dataset is used for displaying present time prediction of P. seriata probability of presence on the Shiny app.
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