Data and code from: Phytoplankton thermal responses adapt in the absence of hard thermodynamic constraints
Kontopoulos, Dimitrios - Georgios et al. (2020), Data and code from: Phytoplankton thermal responses adapt in the absence of hard thermodynamic constraints, v4, Dryad, Dataset, https://doi.org/10.5061/dryad.63xsj3tzv
CONTENTS OF THIS DATASET
Phytoplankton growth rate vs temperature measurements, extracted
from the literature.
The relative time-calibrated phylogeny reconstructed for this
Reliable TPC parameter estimates (along with measures of
uncertainty), latitude/longitude values, and habitat (marine or
freshwater) for all phytoplankton strains of this study.
As above, but only for marine strains. Besides lat/lon values,
this dataset also includes temperature data (from Lagrangian
simulations and from the NOAA OISST dataset) for each isolation
B_0 and B_pk estimates for all phytoplankton along with cell
volume measurements in units of cubic meters.
Python 2 script for fitting the 4-parameter variant of the
Sharpe-Schoolfield model to the data in growth_rate_dataset.csv.
Python 2 script for simulating backwards-in-time Lagrangian
trajectories of drifting particles (marine phytoplankton) from a
list of latide/longitude locations.
R script for fitting regression models to the entire TPC dataset
with all TPC parameters forming a combined response.
R script for fitting regression models to the TPC dataset of
marine phytoplankton only.
R script for estimating the influence of cell volume on B_0 or
Natural Environment Research Council, Award: NE/L002515/1
Natural Environment Research Council, Award: NE/M004740/1
Natural Environment Research Council, Award: NE/M003205/1
- This dataset is supplement to https://doi.org/10.1111/evo.13946
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