https://doi.org/10.5061/dryad.573n5tbjb

Description of the data and file structure

To evaluate whether non-consumptive effects alter thermal responses, P. globosa grown alone and those exposed to grazing cues associated with ciliates and copepods were maintained at temperatures ranging from 13°C to 30°C.  The incubations lasted for seven days. Solitary cell abundances, colony numbers, colony diameters, and cells per colony of P. globosa grown alone and exposed to grazing cues at different temperatures were determined. We also quantified TPCss using the equation by Thomas et al. 2012.

Files and variables

File: Data__Fear_Phaecystis_Warming_Ye.xlsx

Description: This dataset contains six sets of data on predation risk on thermal traits of Phaeocystis globosa. We provided data on solitary cell abundance, colony numbers, growth rate, colony size, and cell per colony of P. globosa grown alone and exposed to grazing risk associated with ciliates and copepods at 13, 15, 17, 21, 25, 28, and 30℃. 

• Solitary cell abundance (cells per ml): This dataset contains 168 data points. 84 data points exhibited solitary cell abundance of P. globosa grown alone and exposed to grazing risk associated with ciliates and copepods (position: outside cage) at different temperatures. 84 data points exhibited solitary cell abundance of P. globosa grown alone and exposed to ciliates and copepods (position: inside cage) at different temperatures.
• Colony numbers (colonies per ml): We provided 168 data points to determine the interactive effects of temperature and grazing risk on colony formation in P. globosa. 84 data points exhibited colony numbers of P. globosa grown alone and exposed to grazing risk associated with ciliates and copepods (position: outside cage) at different temperatures. Another half of the dataset exhibited solitary cell abundance of P. globosa grown alone and exposed to ciliates and copepods (position: inside cage) at different temperatures.
• Rel_ size_ cell:  In the present experiment, we measured 1393 data points of colony sizes and cells per colony . We compared the slopes of log (colony diameters) and log (cells per colony) between grazing treatment (P. globosa exposed to grazing risk) and controls (P. globosa grown alone) to assess whether grazing risk combined with temperature influenced colony architecture. 
• Growth rate: This dataset contains 95 data points showing the maximum growth rates of *P. globosa *when grown alone and exposed to grazing cues released from ciliates and copepods at different temperatures. 
• pH_25℃: We measured pH values in culture at 25℃ to assess whether pH influence growth and colony formation.
• Nutrient_25℃: To assess whether nutrient concentrate affects growth and colony formation, nitrate, ammonium and phosphate concentration were determined.

Code/software

file:”PredationTemperatureCod_2503” contains Plotting and statistical analyses were conducted with R (version 4.0.4, R development Core Team) for ”solitary cell abundance”、”Colony abundance” 、”colony size”, “relationship between colony diameter and colonial cell abundance” and analysis the difference between treatments and controls at different temperature.

Access information

Other publicly accessible locations of the data:

• none

Data was derived from the following sources:

• none

Version changes

Mar 27, 2025: We have expanded this deposit to include all statistical analysis and plotting code used in the study, supplementing the original dataset.

Newly added code includes:

1. Statistical analyses:
   • Tests for homogeneity of variance and normality distribution
   • Two-way ANOVA with post-hoc Tukey tests
   • Regression analysis
   • Mixed-effects modeling
2. Visualization scripts:
   • All point-line graphs
   • Regression analysis plots
   • Code for generating figures showing:
     • The relationship between algal bloom timing
     • Multi-year monthly temperature patterns in the South China Sea

Data & Code Availability:

We provide:

1. Raw experimental data on P. globosa colony abundance, diameter, and cell counts across temperatures (13–30°C) under grazing-cue vs. control conditions.
2. Statistical analysis scripts (R code) for modeling thermal performance curves (TPCs) and testing treatment effects.
3. Plotting scripts (R code) for generating figures in the study.

All data and code are structured to ensure reproducibility.