Recent vegetation shifts in the French Alps with winners outnumbering losers

Description of the data and file structureFile1:cbna_df.csvDescription: Raw dataset from the Conservatoire Botanique National Alpin. Columns:id_observation: ID for each observations.time_period: Time period of the observation. The raw dataset contains 7 time period, but the first one was removed for the analysis.cd_ref: National (France) taxonomic references. x_centroid: Longitute (Lambert 93) of the centroid (5x5km).y_centroid: Latitude (Lambert 93) of the centroid (5x5km). File2:Frescalo_output.csv Description: This file is derived from file 1 after the Frescalo algorithm. It corresponds to a time series of the "frequency" changes for each species. Columns:Species: Corresponds to the cd_ref from the file1.Time: Time period. Correspond to the time period column of the file1 (here time are numerical). TFactor: TFactor estimation from the Frescalo algorithm. StDev: Standart deviation associated to each time factor (estimated from Frescalo).  File3:status_sp.csv Description: This file is derived from file 2. After applying bayesian multilevel models, we get the species status (e.g., winner, loser or stable).Columns:species: Corresponds to the cd_ref from the file1.slope: Estimate of the slope value from the bayesian model.error: Error associated to the slope value. status group: Final group (i.e., winner, loser, stable, data deficient, non signif-change).