The dataset contains the raw data and the annotated code to create all the Figures and Statistical analysis included in the associated manuscript.ÊIn particular, the dataset contains the following files: #####) Raw_paramuricea.csv: All raw population data obtained from the long-term monitoring of the 4 P. clavata populations (2003-2018). Specifically, the following columns can be found in the csv file: - Year: Year in which the field monitoring was conducted. - Date: Date in which the field monitoring was conducted. - Area: Geographic area in which the field monitoring was conducted. - Population: Name of the monitored population. - Depth: Depth of the surveyed population - Type of transect: Random or permanent - ID_Quadrat: A unique ID for each sampling unit (quadrat) in a given population and year. - ID_Colony: A unique ID for each sampled colony. NA (Not available) for P. clavata, since the transects were random and the colonies re-sampled were not identified. - Size (cm): Measured size in cm of each sampled colony. - Old_nec: Percentage of old necrosis estimated per colony (0-100%). - Recent_nec: Percentage of recent necrosis estimated per colony (0-100%). - Necrosis: Total necrosis (Old_nec + Recent_nec) estimated per colony (0-100%): - Total Biomass: Total biomass (Liv_Biomass + Necrotic Biomass) estimated for each colony. - Liv_Biomass: Living biomass estimated for each colony. - Necrotic Biomass: Necrotic biomass estimated for each colony. - Size class: It depends on the Size (cm) of the colony, and It can take values of: 0 to 10, >10 to 20, >20 to 30, >30 to 40, > 40. - Affected: Binomial variable. If the colony has more than > or = to 10% of Necrosis, the variable will take a value of 1. Otherwise, it will take a value of 0. - Dead: Binomial variable. If the colony has a 100% of Necrosis, the variable will take a value of 1. Otherwise, it will take a value of 0. #####) Raw_corallium.csv: All raw population data obtained from the long-term monitoring of the C. rubrum population (2003-2018). Specifically, the following columns can be found in the csv file: - Year: Year in which the field monitoring was conducted. - Date: Date in which the field monitoring was conducted. - Area: Geographic area in which the field monitoring was conducted. - Population: Name of the monitored population. - Depth: Depth of the surveyed population - Type of transect: Random or permanent - ID_Quadrat: A unique ID for each sampling unit (quadrat) in a given population and year. - ID_Colony: A unique ID for each sampled colony. - Size (cm) and (mm): Measured size of each sampled colony. * In C. rubrum, the height of colonies was only estimated in 2004, 2011, 2013, 2017 and 2018. A value of NA has been used for cells in any other year. Moreover, a value of NA has been also used when a colony presents a 100% of Necrosis with the exception of 2004. - Old_nec: Percentage of old necrosis estimated per colony (0-100%). - Recent_nec: Percentage of recent necrosis estimated per colony (0-100%). - Necrosis: Total necrosis (Old nec + Recent_nec) estimated per colony (0-100%): - Total Biomass: Total biomass (Liv_Biomass + Necrotic Biomass) estimated for each colony. * As biomass is calculated from height, Biomass was only calculated in 2004, 2011, 2013, 2017 and 2018. For the rest of the years, the values were set on purpose as 0. - Liv_Biomass: Living biomass estimated for each colony. * Liv_Biomass was only calculated in 2004, 2011, 2013, 2017 and 2018. For the rest of the years, the values were set as 0. - Necrotic Biomass: Necrotic biomass estimated for each colony. * Necrotic Biomass was only calculated in 2004, 2011, 2013, 2017 and 2018. For the rest of the years, the values were set as 0. - Size class: It depends on the Size (cm) of the colony, and It can take values of: 0 to 3, >3 to 6, >6 to 9, >9 to 12, > 12 to 15 and > 15. * As it depends in the height of colonies, size class was only calculated for 2004, 2011, 2013, 2017 and 2018. For the rest of years, size class values were set as NA. Moreover, a value of NA has been also used when a colony presents a 100% of Necrosis, with the exception of 2004. #####) Saturated_paramuricea.csv: All data needed for conducting the self-thinning analysis in P. clavata. Specifically, the following columns can be found in the file: - Location: The location of the different populations used to create the self-thinning line can be found in Garrabou et al. 2017, which is indicated in the column. - Population: The name of the different populations used in the analysis. - Year: The year in which the biomass and density values were obtained. For the populations that were used to create the self-thinning line, this information is not relevant, and the values have been set as NA. - log_density of the populations - log_mean_biomass of the populations - Saturated: If YES, the values will be used to compute the species-specific self thinning line. - Pop_year_ID: If the population has been used to compute the self-thinning line (YES in Saturated column), It will have a NA value here. #####) Saturated_corallium.csv: All data needed for conducting the self-thinning analysis in C. rubrum. As for P. clavata, the following columns can be found in the file: - Location: The location of the different populations used to create the self-thinning line can be found in Garrabou et al. 2017. - Population: The name of the different populations - Year: The year in which the biomass and density values were obtained. For the populations used to create the self-thinning line, this information is not relevant, and the value has been set as NA. - log_density - log_mean_biomass - Saturated: If YES, the values will be used to compute the species-specific self thinning line. - Pop_year_ID: If the population has been used to compute the self-thinning line (YES in saturated column), It will have a NA value here. - T_anomaly_trends_Scandola.csv: All temperature data need to conduct the temperature analyses on thermal stress trends. Specifically, the file contains the following columns: - Year: Year of the T measurement - Location: Area of the T measurement - Anomaly_Days: Number of MHW days (for SST data) or extreme heat days (for In-situ data) estimated for a given area in a given year. - zone: SST if the data have been obtained in the sea surface zone, or in_situ_20m if the data have been obtained in the 20m-depth zone. #####) Gomez_Gras_et_al_2021_R_Code.R: Annotated R code to reproduce all figures and statistical analyses that are included in the manuscript and the Electronic Supplementary Material.