Data from: Modeling the drivers of eutrophication in Finland with a machine learning approach

Data from: Modeling the drivers of eutrophication in Finland with a machine learning approach

Description

The dataset contains data on characteristics of 1547 Finnish EU Water Framework Directive monitored lakes and their catchments from years 2016-2019. Usage notes The zip-file contains catchment and lake characteristics data to support the main analysis code in Github (link) (‘Analyses and visualization’) which produces results, figures and tables presented in the study ‘Modeling the drivers of eutrophication in Finland with a machine learning approach’. Detailed information about the data can be found in the ‘README.docx’ file.
Show more

Year of publication

2022

Authors

Department of Built Environment

Maria Yli-Heikkilä - Creator

Matias Heino - Creator

Sara Heikonen Orcid -palvelun logo - Creator

Natural Resources Institute Finland (Luke) - Contributor

Zenodo - Publisher

Other information

Fields of science

Environmental engineering

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Data from: Modeling the drivers of eutrophication in Finland with a machine learning approach - Research.fi