This is the output of GBM (Gradient Boosting Model) analyses of K. mikimotoi, abundance data done by MI OCIS and CoCliME project. This output dataset shows abundance of K. mikimotoi in present time (2017 - 2035) in SW Ireland. The analyses was 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/K_mikimotoi_abundance/). None

Suggested Citation: Yamanaka, Tsuyuko; Cusack, Caroline; Nolan, Glenn; Clarke, Dave. (2022) CoClime - Abundance of phytoplankton (Karenia mikimotoi), Southwest Ireland - future prediction (2017 - 2035). Marine Institute, Ireland. doi:10/hvs4.