Explanation of “Data on how regional climate affects habitat associations and thermal sums required for development of the Eurasian spruce bark beetle, Ips typographus” There are three files: 1) Ips_data.csv, which includes habitat variables, dates of different development stages, and calculated thermal sums for each developmental stage, for 5-degree and 8.3 degree models, and for ambient and internal temperature; 2) local_logger.csv, which includes data from ambient data loggers combined in one table according to recording time, number in the first row is the identification (ID) number of loggers. The file includes one heading/title row and 3890 rows with temperatures recorded once in an hour; and 92 columns with the first two identifying the time or the recording and the row number, respectively, and ID numbers of ambient loggers (1 to 90); 3) logger.csv, which includes data from internal data loggers combined in one table according to recording time, number in the first row is the ID number of loggers. The file includes one heading/title row and 3890 rows with temperatures recorded once in an hour; and 182 columns with the first two identifying the time or the recording and the row number, respectively, and ID numbers of internal loggers (1 to 90). Additonal details: Date and time format is YYYY-MM-DD HH:MIN:SEC. Empty cells should be interpreted as missing data and/or not applicable. Ips data: local_logger - no of ambient logger logger - no of internal logger log_ID - ID of logs, site and log id_site - ID of sites id_log - ID of logs loc - region, where logs are located region_mean - annual mean temperature in the regions over the last 25 years. Calculated from the data of Swedish Meteorological and Hydrological Institute (SMHI) MS_H_LoLo - transects with ambient loggers MS_H_Lo - transects with internal loggers alt - altitude basal - basal area, calculated from relascope counts dia - measured diameter can_open - canopy openness, analysed with Light Gap Analyzer from fish eye lens pictures disc - no of discs removed from the logs shade - shade level; 1 on the edge, 2 10 m from the edge, 3 50 m from the edge dir_degrees - direction forest stands are facing DIR - linearised direction; ABS(direction-180) monitored - included in the development experiment logger_incl - good internal loggers (not covered by bark by the end of season are 0) local_logger_incl - good ambient loggers (sun-exposed are 0) colonised - marked colonised in the autumn 2020 by eclector - found spruce bark beetle specimens with eclector traps in the following year col_sum - combinations of the last two; when colonised in one => colonised em_holes_autumn - number of emergence holes counted in the autumn 2020 bark_left - % of bark left in autumn 2020 augud_metsa_pool – species inhabited the northern sides of logs (microclimatic conditions differ significantly from the ones recorded by loggers) attacks - no of attacks reported by collaborators in spring before moving the logs dev_a - adults found, binary dev_hwa - adults with emergence holes found, binary dev_hwoa - emergence holes without adults found, binary avg_gal_over_time - average length of galleries over the study period date_logs_moved - date when the logs were moved into forests date_start - start date for calculating degree-days for development COL_date_start - start date for calculating degree-days for colonisation COL_date_stop - end date for calculating degree-days for colonisation date_p - date when first pupae were found date_a - date when first adults were found date_hwa - date when first adults with emergence holes were found date_hwoa - date when first emergence holes without adults were found Lo_fluct - average daily temperature fluctuations calculated from internal loggers Lo_mean - average temperature calculated from internal loggers Lo_5 - accumulated degree-days from April to September with 5-degree model, internal loggers Lo_8 - accumulated degree-days from April to September with 8.3-degree model, internal loggers Lo_5_p - accumulated degree-days from date_start to date_p with 5-degree model, internal loggers Lo_8_p - accumulated degree-days from date_start to date_p with 8.3-degree model, internal loggers Lo_5_a - accumulated degree-days from date_start to date_a with 5-degree model, internal loggers Lo_8_a - accumulated degree-days from date_start to date_a with 8.3-degree model, internal loggers Lo_5_hwa - accumulated degree-days from date_start to date_hwa with 5-degree model, internal loggers Lo_8_hwa - accumulated degree-days from date_start to date_hwa with 8.3-degree model, internal loggers Lo_5_hwoa - accumulated degree-days from date_start to date_hwoa with 5-degree model, internal loggers Lo_8_hwoa - accumulated degree-days from date_start to date_hwoa with 8.3-degree model, internal loggers LoLo_fluct - average daily temperature fluctuations calculated from ambient loggers LoLo_mean - average temperature calculated from ambient loggers LoLo_5 - accumulated degree-days from April to September with 5-degree model, ambient loggers LoLo_8 - accumulated degree-days from April to September with 8.3-degree model, ambient loggers LoLo_5_p - accumulated degree-days from date_start to date_p with 5-degree model, ambient loggers LoLo_8_p - accumulated degree-days from date_start to date_p with 8.3-degree model, ambient loggers LoLo_5_a - accumulated degree-days from date_start to date_a with 5-degree model, ambient loggers LoLo_8_a - accumulated degree-days from date_start to date_a with 8.3-degree model, ambient loggers LoLo_5_hwa - accumulated degree-days from date_start to date_hwa with 5-degree model, ambient loggers LoLo_8_hwa - accumulated degree-days from date_start to date_hwa with 8.3-degree model, ambient loggers LoLo_5_hwoa - accumulated degree-days from date_start to date_hwoa with 5-degree model, ambient loggers LoLo_8_hwoa- accumulated degree-days from date_start to date_hwoa with 8.3-degree model, ambient loggers local_logger: raw data of ambient data loggers time – time of recordings row – row nr Numbers in the first row (1 to 90) indicate the ID numbers of ambient loggers logger: raw data of internal data loggers time – time of recordings row – row nr Numbers in the first row (1 to 180) indicate the ID numbers of internal loggers