Raw data for : Bestion E, García-Carreras B, Schaum C-E, Pawar S, Yvon-Durocher G. 2018. Metabolic traits predict the effects of warming on phytoplankton competition. Ecology Letters, doi: 10.1111/ele.12932 Composed of two data sets: - Competition data.csv - Growth rate Raw data.csv Composition of the Growth rate raw data ----------------------------------------- csv file corresponding to the fit of a Buchanan three-phase-linear model to the growth rate data of the 6 species at the 5 temperatures, 13 phosphate concentrations and with 3 replicates, cleaned. with 12 columns - SpeciesName : The Genus of the 6 phytoplankton species used in the experiment - SpeciesNb: a numeric code from 1 to 6 for each species (in alphabetical order) - Temperature_fact: Temperature levels from 15 to 35 coded as a factor (T15, T20, T25, T30, T35) - Temperature_c: Temperature level coded as a numeric variable (15, 20, 25, 30, 35) - Phosphate_fact: Phosphate concentration (umol/L) in the medium, 13 levels coded as a factor (P0.01, P0.1, P01, ... to P50) - Phosphate_c: Phosphate concentration coded as a numeric variable - Replicate: 3 replicates, named 1 to 3 - id_STR: a composite ID column with the species number, the temperature and the replicate to fit the Monod model grouping per ID - LOG10N0: N0 parameter from the Buchanan model - lag: tlag parameter from the Buchanan model - LOG10Nmax: Nmax parameter from the Buchanan model - mu: growth rate, mu parameter from the Buchanan model. To be used to fit the Monod model. Composition of the Competition data --------------------------------------- Results from the competition experiment, as a csv file. with columns: - Day: day of measurement, 3 days (day 5, 14 and 23) - Species_pair: pair of species competing together, from the concatenation of the species numeric code (SpeciesNb in the Growth rate raw data) in the form of 1_2 - SpeciesA: first species in the species pair - SpeciesB: second species in the species pair - Temperature_fact: as above, only two temperatures (T15 and T25) - Phosphate_fact: as above, only 3 phosphate levels (P0.1, P01, P30) - Replicate: 6 replicates, named R1 to R6 - Samples_to_remove_low_density: samples to exclude from the analysis of the competition data as the total cell density was below a predefined threshold of 500 cells/ml - total_cells_SpA_and_B: total number of cells in the sample (in cells/ml) - nb_cells_SpA_lda: number of cells from species A, as calculated with the linear discriminant analysis - nb_cells_SpB_lda: number of cells from species B, as calculated with the linear discriminant analysis - nb_cells_SpA_randomforest: number of cells from species A, as calculated with the randomforest analysis - nb_cells_SpB_randomforest: number of cells from species B, as calculated with the randomforest analysis - nb_cells_SpA_rpart: number of cells from species A, as calculated with the rpart analysis - nb_cells_SpB_rpart: number of cells from species B, as calculated with the rpart analysis - R_obs_lda: observed competition coefficient R, calculated as the ln ratio of the number of cells from the two species; with the lda analysis - R_obs_randomforest: same with randomforest - R_obs_rpart: same with rpart - total_cells_SpA_and_B_average_in_isolate: total number of cells of the two species obtained summing the average total number of cells from each species cultivated in isolation across replicates

{"references": ["Bestion E, Garc\u00eda-Carreras B, Schaum C-E, Pawar S, Yvon-Durocher G. 2018. Metabolic traits predict the effects of warming on phytoplankton competition. Ecology Letters. doi: 10.1111/ele.12932"]}