Biodiversity in time and space (Statistical modeling and data analysis) The data of this work package were published on zenodo and can be reached via the following dois:

 

Benjamin Kraemer. (2019, August 8). bkraemer/GlobalLakeLevels: GlobalLakeLevels (Version v1.0-beta.1). Zenodo. http://doi.org/10.5281/zenodo.3363187. R Code for calculating trends in water levels in large lakes using satellite altimetry data reprocessed by the USDA

Karan Kakouei. (2021). Phytoplankton and cyanobacteria abundances in mid‐21st century lakes depend strongly on future land use and climate projections [Data set]. https://doi.org/10.1111/gcb.15866

]]> Biodiversity Statistical modeling GlobalLakeLevels Phytoplankton cyanobacteria abundances _multiple sites -31.46 46.042 Benjamin Kraemer Karan Kakouei Rita Adrian 0000-0002-6318-7189