Future inorganic nutrient and plankton dynamics in a temperate lake

Here we provide all datasets used in the associated publication, see the below list. For detailed codes used to produce the results, please see: https://github.com/systemsecologygroup/TempSizeMod Model input include: - Raw data (RawData_XX.csv) Temp+PAR.csv MLD.csv Greifensee size and abundance data of plankton - Forcing data (ForcData_XX.csv)(Forcing data are created from RawData, the scripts are provided in https://github.com/systemsecologygroup/TempSizeMod) Lake water surface temperature (LWST) Photosynthetically-active Radiance (PAR) Mixed Layer Depth (MLD); also obtainable from https://doi.org/10.5281/zenodo.3582838 - Plankton data Raw plankton size and abundance (raw_NPdata.csv) time-series data from 13-03-2019 to 31-12-2022 contains phosphate concentration (µg/L), phytoplankton abundances, phytoplankton bio-area, zooplankton abundances, zooplankton bio-area, and zooplankton minimum and maximum axis length Transformed plankton size and abundance for model calibrations (PlanktData4Calibr.csv) a composite dataset after transforming plankton abundance to biomass concentration and plankton bio-area to biovolume Model output (results taken from the 10th year run) include: Model results from projection (result_Std+Proj.nc) Model results from sensitivity tests (result_Sensit.nc) Here contains two sets of model results, one for the projection of future RCP scenarios ('Std+Proj.nc') and one for sensitivity test ('Sensit.nc') over thermal traits (i.e. thermal optima and thermal tolerance) in the standard and RCP scenarios. ----------------------- Proj.nc -----------------------This file stores the output data from the projection, and is saved as a multi-dimensional dataset in a netCDF file. The dataset contains nutrient fluxes ('Nut'), phytoplankton biomass ('Phy'; Pi, i=1,2,..,10) and zooplankton biomass ('Zoo'; Zj, j=1,2) data of each size class from day 3285 to day 3650, on the 10th year of the simulation. This is a time range after the spin-up stage of the model. To extract the data, one could use the netCDF4 library in python (https://unidata.github.io/netcdf4-python/). Detailed codes are shown in https://github.com/systemsecologygroup/TempSizeMod The coordinates (dimensions) of the 'Phy' dataset are as below:'time': '365 days','PhySize': '10 phytoplankton size classes ranged from 1 to 200µm ESD','RCP': '4 different climate change scenarios considered by IPCC: RCP 2.6; RCP 6.0; and RCP 8.5'The coordinates (dimensions) of the 'Zoo' dataset are as below:'time': '365 days','ZooSize': '2 zooplankton size classes at 20 and 600µm ESD','RCP': '4 different climate change scenarios considered by IPCC: RCP 2.6; RCP 6.0; and RCP 8.5'The coordinates (dimensions) of the 'Nut' dataset are as below:'time': '365 days','RCP': '4 different climate change scenarios considered by IPCC: RCP 2.6; RCP 6.0; and RCP 8.5' ----------------------- Sensit.nc -----------------------This file stores the output data from the sensitivity test, and is saved as a multi-dimensional dataset in a netCDF file. The dataset contains nutrient fluxes ('Nut'), phytoplankton biomass ('Phy'; Pi, i=1,2,..,10) and zooplankton biomass ('Zoo'; Zj, j=1,2) data of each size class from day 0 to day 3650. For analyses, we used data from the last year, after the model is spinned-up, hence, day 3285 to 3650. The coordinates (dimensions) of the 'Phy' dataset are as below:'time': '365 days','PhySize': '10 phytoplankton size classes ranged from 1 to 200µm ESD','RCP': '4 different climate change scenarios considered by IPCC: RCP 2.6; RCP 6.0; and RCP 8.5','Sensit': '4 different configurations on thermal traits to test their sensitivities in climate change scenarios considered by IPCC: RCP 2.6; RCP 6.0; and RCP 8.5'The coordinates (dimensions) of the 'Zoo' dataset are as below:'time': '365 days','ZooSize': '2 zooplankton size classes at 20 and 600µm ESD','RCP': '4 different climate change scenarios considered by IPCC: RCP 2.6; RCP 6.0; and RCP 8.5','Sensit': '4 different configurations on thermal traits to test their sensitivities in climate change scenarios considered by IPCC: RCP 2.6; RCP 6.0; and RCP 8.5'The coordinates (dimensions) of the 'Nut' dataset are as below:'time': '365 days','RCP': '4 different climate change scenarios considered by IPCC: RCP 2.6; RCP 6.0; and RCP 8.5','Sensit': '4 different configurations on thermal traits to test their sensitivities in climate change scenarios considered by IPCC: RCP 2.6; RCP 6.0; and RCP 8.5'