Dataset DOI: 10.5061/dryad.r7sqv9sph

Description of the data and file structure

Dryad dataset

Dataset DOI: 10.5061/dryad.r7sqv9sph

Description of the data and file structure

Code and data used in this study, including model verfication, body temperature calculations, data analysis, and data.

Code: Codes used in paper

Code\model_verfication: Code for model validation.

Code\temperature_calculation: Calculate body temperature

Code\data analysis: data analysis

Data: Data used in paper

Data\exposure: Data related to tidal exposure probability

Data\heatwave: Data related to heatwaves

Data\rate: Data related to trends of body temperature using MK test

Data\risk: Data related to thermal risk

Data\sem: Data related to SEM

Data\Tpercent: Data related to body temperature

Data\trend: Data related to trends of some thermal metrics

Data\other: Other data used

Files and variables

File: Code.zip

Description: Codes used in paper

Code\model_verfication\Calculate_tidal_zonation_test.m：Calculation of intertidal zone heights.

Code\model_verfication\Extraction_of_meteorological_data_for_model_verfication_using_matlab_test.m: Extraction of meteorological data corresponding to the validation site.

Code\model_verfication\Extraction_of_meteorological_data_for_model_verfication_using_parallel_operations.R: Extraction of meteorological data corresponding to validation sites using parallel operations

Code\model_verfication\Model_validation.m: model validation

Code\model_verfication\Model_validation_preparation.m: Write latitude and longitude points for 24 verification points

Code\model_verfication\Organize_model_validation_sites.m: Organize model validation site information with corresponding CFSR indexes

Code\model_verfication\Prediction_of_tidal_height_test.m: Code for global tidal prediction

Code\model_verfication\Preparing_data_for_SiteParser.m: The output is used in the software SiteParser for calculation.

Code\model_verfication\Processing_SiteParser_results.m: Converting SiteParser's result format

Code\temperature_calculation\Calculate body temperature.m: Calculate body temperature

Code\temperature_calculation\Calculate_temperature_using_lsm_Complete.m: LSM in intertidal zone Complete Edition

Code\temperature_calculation\Estimate_the_timing_of_exposure_and_submergence.m: Estimate the timing of exposure and submergence

Code\temperature_calculation\Extract_swh_data.m: Extract significant wave height

Code\temperature_calculation\Extraction_of_global_meteorological_data_for_model_verfication_using_parallel_operations.R: Extraction of global meteorological data for model verfication using parallel operations.

Code\temperature_calculation\Extraction_of_global_meteorological_data_using_parallel_operations.R: Extraction of global meteorological data using parallel operations

Code\temperature_calculation\Organize_extracted_meteorological_data.m: Organize extracted meteorological data

Code\temperature_calculation\Prediction_of_global_tidal_height.m: Code for global tidal prediction

Code\data analysis\a1_heatwave_calculate.R: Calculating heatwaves

Code\data analysis\a1_heatwave_prepare.m: Preparing the data for calculating heatwaves

Code\data analysis\a1_output_data_analysis: Analyzing body temperatures

Code\data analysis\ARIMA.R: Using the Arima model to analyze data trends

Code\data analysis\b1_heatwave_analysis.m: Analyzing heatwave results

Code\data analysis\c1_variable_processing.m: Calculating trends in metrics

Code\data analysis\d1_hotspots_processing.m: Calculating hotspot frequency

Code\data analysis\e1_Riskscore_processing.m: Calculating Risk score

Code\data analysis\ElNino_and_EOF_analysis.m: Analyzing ElNino using some methods like EOF

Code\data analysis\f1_prepare_data_SEM.m: Preparing data for SEM

Code\data analysis\f1_prepare_data_SEM_to_tideexposure_hourly.m: Filtering out the exposure phase portion of the prepared data for SEM

Code\data analysis\f1_VIF.R: Doing VIF analysis ensures that there is no strong covariance in the data used

Code\data analysis\f1_SEM.R: Using SEM

Code\data analysis\g1_results.m: Filling of results within the paper

Code\data analysis\Get_sem_effect.R: Function to analyze the total effect of SEM

Code\data analysis\h1_tables.m: Calculating table data within this paper

File: Data.zip

Description: Data used in paper.

Data\LONLAT.xls: Longitude and latitude of the site used for the study.

Data\exposure\a1_*_Tide1_exposure_noon3_all.xls: Hours of summer tidal exposure (in h), listed for the 44 years 1980-2023. * is the order of latitude and longitude, e.g., when *=1000, it means that the file contains data for locations 1-1000 in LONLAT.xls; when *=2000, it means that the file contains data for locations 1001-2000 in LONLAT.xls.

Data\exposure\a1_hottest_hours.xls: UTC of the highest temperature of the day in summer at each location.

Data\exposure\a1_hottest_month_3hours*.csv: The UTC of the second of three consecutive hours of the highest temperature of the day in summer at each location, listed for the 44 years 1980-2023.* is the order of latitude and longitude, e.g., when *=1000, it means that the file contains data for locations 1-1000 in LONLAT.xls; when *=2000, it means that the file contains data for locations 1001-2000 in LONLAT.xls.

Data\exposure\a2_all_Tide_prop_noon_3.xls: Probability of exposure for all sites for 3 consecutive hours at the highest temperature of the summer day, listed for the 44 years 1980-2023.

Data\heatwave\a1_Cuminta_all.csv: Annual cumulative heatwave intensity for global coastal intertidal mussel heatwaves during the 44-year period 1980-2023 (in °C*days).

Data\heatwave\a1_Daya_all.csv: Annual heatwave duration for global coastal intertidal mussel heatwaves during the 44-year period 1980-2023 (in days).

Data\heatwave\a1_Maxinta_all.csv: Annual maximum heatwave intensity for global coastal intertidal mussel heatwaves during the 44-year period 1980-2023 (in °C).

Data\heatwave\a1_Meaninta_all.csv: Annual mean heatwave intensity for global coastal intertidal mussel heatwaves during the 44-year period 1980-2023 (in °C).

Data\heatwave\All_all_type1.xls: Summary of heatwave conditions for the period 1980-2023 at various points around the globe. Column “num_heatwave”: total number of heatwaves; column “num_heatwave_meanyear“: average number of heatwaves per year; column "num_heatwave _total_day“: total number of heatwave days (in days); column “num_heatwave_mean_waveday“: average number of heatwave days per year (in days); column ”num_heatwave_during_day heatwave_during_day“: average duration of a single heatwave (in days); column “heatwave_mean_intensity“: average intensity of a heatwave (in °C); column ”heatwave_mean_intensity": average intensity of a heatwave (in °C); column “heatwave_max_intensity”: maximum intensity of the heat wave (in: °C); column “heatwave_cumu_intensity”: cumulative intensity of the heat wave (in: °C*days) column “I Moderate” “II Strong” “III Severe” "IV Extreme ": number of heat waves of each level.

Data\heatwave\cum_all.xls: Cumulative intensity of heatwaves per year (1980-2023) at each global location (in: °C*days).

Data\heatwave\day_all.xls: Annual heatwave duration of heatwaves per year (1980-2023) at each global location (in: days).

Data\heatwave\max_all.xls: Average maximum heatwave intensity per year (1980-2023) at each global location (in: °C).

Data\heatwave\mean_all.xls: Average mean heatwave intensity per year (1980-2023) at each global location (in: °C).

Data\heatwave\total_result_all_AHW.xls: Summary of heatwave conditions for the period 1980-2023 at various points around the globe based on a calculation for atmospheric heatwaves.Column “num_heatwave”: total number of heatwaves; column “num_heatwave_meanyear“: average number of heatwaves per year; column "num_heatwave _total_day“: total number of heatwave days (in days); column “num_heatwave_mean_waveday“: average number of heatwave days per year (in days); column ”num_heatwave_during_day heatwave_during_day“: average duration of a single heatwave (in days); column “heatwave_mean_intensity“: average intensity of a heatwave (in °C); column ”heatwave_mean_intensity": average intensity of a heatwave (in °C); column “heatwave_max_intensity”: maximum intensity of the heat wave (in: °C); column “heatwave_cumu_intensity”: cumulative intensity of the heat wave (in: °C*days) column “I Moderate” “II Strong” “III Severe” "IV Extreme ": number of heat waves of each level. The columns on seasons represent the number of heat waves that occur in each season. The column for year represents the number of heat waves that occurred each year.

Data\heatwave\total_result_all_cum_int_year.xls: Average annual cumulative intensity for global coastal intertidal mussel heatwaves during the 44-year period 1980-2023 (in °C*days).

Data\heatwave\total_result_all_day.xls: Average annual heatwave duration for global coastal intertidal mussel heatwaves during the 44-year period 1980-2023 (in days).

Data\heatwave\total_result_all_max_int.xls: Average annual maximum heatwave intensity for global coastal intertidal mussel heatwaves during the 44-year period 1980-2023 (in days).

Data\heatwave\total_result_all_max_int.xls: Average annual mean heatwave intensity for global coastal intertidal mussel heatwaves during the 44-year period 1980-2023 (in days).

Data\heatwave\total_result_all_num.xls: Average annual heatwave number for global coastal intertidal mussel heatwaves during the 44-year period 1980-2023 (in days).

Data\heatwave\total_result_all_MHW.xls: Summary of heatwave conditions for the period 1980-2023 at various points around the globe based on a calculation for marine heatwaves.Column “num_heatwave”: total number of heatwaves; column “num_heatwave_meanyear“: average number of heatwaves per year; column "num_heatwave _total_day“: total number of heatwave days (in days); column “num_heatwave_mean_waveday“: average number of heatwave days per year (in days); column ”num_heatwave_during_day heatwave_during_day“: average duration of a single heatwave (in days); column “heatwave_mean_intensity“: average intensity of a heatwave (in °C); column ”heatwave_mean_intensity": average intensity of a heatwave (in °C); column “heatwave_max_intensity”: maximum intensity of the heat wave (in: °C); column “heatwave_cumu_intensity”: cumulative intensity of the heat wave (in: °C*days) column “I Moderate” “II Strong” “III Severe” "IV Extreme ": number of heat waves of each level. The columns on seasons represent the number of heat waves that occur in each season. The column for year represents the number of heat waves that occurred each year.

Data\other\a1_all_MEOW_Cluster.csv: MEOW partitioning information for each site.

Data\other\a1_ENSO_ONI.csv: ONI calculations for 1980-2023.

Data\other\a1_ENSO1.csv: Grading ENSO intensity based on ONI.

Data\other\a1_Heatwave_day_notrend_lanczosfiltera.csv: De-trending annual heatwave days based on lanczosfilter.

Data\other\a1_Heatwave_Meanint_notrend_lanczosfiltera.csv: De-trending annual mean heatwave intensity based on lanczosfilter.

Data\other\a1_Tmean_all_T99_notrend_lanczosfiltera.csv: De-trending annual T99 based on lanczosfilter.

Data\other\a1_Tmean_all_Tbody_notrend_lanczosfiltera.csv: De-trending annual mean body temperature based on lanczosfilter.

Data\rate\beta_all.csv: Trends in T99 based on the MK trend test (in °C/year).

Data\rate\beta_Tmean_all.csv: Trends in Tmean based on the MK trend test (in °C/year).

Data\rate\kk2_all.csv: Trends in T99 based on the GLM (in °C/year).

Data\rate\kk2_Tmean_all.csv: Trends in Tmean based on the GLM (in °C/year).

Data\risk\a1_heatwaveday.csv: Risk Score of heatwave day

Data\risk\a1_heatwavemeanint.csv: Risk Score of heatwave mean intensity

Data\risk\a1_hotspot.csv: Risk Score of hotspot

Data\risk\a1_t99.csv: Risk Score of t99

Data\risk\b1_heatwaveday_trend.csv: Risk Score of heatwave day trend

Data\risk\b1_heatwavemeanint_trend.csv: Risk Score of heatwave mean intensity trend

Data\risk\b1_t99_trend.csv: Risk Score of t99 trend

Data\risk\c1_all_risk_number.csv: Number of risk factors at each site

Data\sem\a1_effects_dfa_*_std_Sunandwind_cloud_value_lme20250612.csv: *Name of the location. Results of the SEM between-factor effect sizes are shown.

Data\tide: Tidal model.

Data\Tpercent\a1_T99_all.csv: T99 data by year for global points (in °C).

Data\Tpercent\a1_Tmean_all.csv: Tmean data by year for global points (in °C).

Data\Tpercent\a2_T99_mean_all.xls: Average T99 data in every year for global points (in °C).

Data\Tpercent\a1_T99_all.csv: Average Tmean data in every year for global points (in °C).

Code/software

Matlab R2022a

R 4.3.1