Túngara frog call-timing decisions arise as internal rhythms interact with fluctuating chorus noise

# Túngara frog call-timing decisions arise as internal rhythms interact with fluctuating chorus noise Corresponding author: [[e-mail]](mailto:[e-mail]) ### Folder ‘Transition Probability Repeatability Analysis’ Contains R markdown file and CSV files to run analysis looking at how repeatable inter-caller transition patterns were over time (corresponding to analysis detailed in the first paragraph of the section titled ‘How Stable are Chorusing Dynamics Over Time?’ in the manuscript). * ‘*210927_001_SHORT_6_males_from_660_to_870_secs_transition_prob_matrix_first70.csv’*: a CSV containing a matrix of pair-wise inter-caller transition probabilities among all chorus-mates in chorus ID ‘210927_001’, for the first 70s of the entire 3.5-minute recording. ‘…*_second7*0.csv’ and ‘…*_third70.csv’* correspond to the second and third of the successive 70s, respectively. There are similar CSV files for each different chorus ID. * ‘*inter-caller_transition_probability_repeatability_analysis.rmd*’: Code using the above CSV files to analyse the repeatability of transition probabilities over time. More details are in the code comments. ### Folder ‘Overlap-Received Repeatability and SMA Regression’ Contains R markdown file and CSV files to run analysis looking at how repeatable individual variation in the degree of call overlap received from chorus-mates was over time (corresponding to analysis detailed in the second paragraph of section titled ‘How Stable are Chorusing Dynamics Over Time?’ in the manuscript). * ‘*210927_001_SHORT_6_males_from_660_to_870_secs_simple_overlap_proportion.csv*’: a CSV containing a data frame with the proportion of each chorus-mate calls that were overlapped by the call of at least one other chorus-mate for each of the successive 70s segments making up the overall 3.5-minute segment in chorus ID ‘210927_001’. Similar CSV files are present for all chorus IDs. ‘segment’ column is which 70s the value corresponds to (s1 = first 70s, s2 = second, s3 = third); ‘chorus_ID’ is chorus identifier; ‘caller_ID’ is the track ID of the chorus-mate; ‘num_calls’ is the number of calls that male produced in that segment, ‘num_overlapped’ is the number of these that were overlapped by at least one of his chorus-mates, ‘not_overlapped’ is the number that was not overlapped at all, and ‘overlap_props’ is the proportion of his calls that received overlap from at least one of his chorus-mates during that segment. * ‘*overlap_received_repeatablitity_analysis.rmd*’: Code using the above CSV files to analyse the repeatability of overlap received over time. More details in code comments ### Folder ‘Single Caller Transition Analysis GLMM’ Contains R markdown file and CSV files to run analysis looking at how variation in call properties influences how males related to the calls of chorus-mates (corresponding to analysis detailed in the section titled ‘Which Properties of Preceding Calls Influence the Probability of Call Overlap?’ in the manuscript). * ‘*single_caller_transition_data.csv*’: Dataframe with rows representing each following call made by all males in all choruses in this study, displaying whether they overlapped the call preceding them or not, and detailing the acoustic properties of that preceding call and the time that has elapsed since the following caller’s last call. ‘ID_focal_following_caller’ is the track ID of the following caller; ‘chorus_ID’ is chorus_identifier; ‘did_focal_follower_overlap_preceding_call_YN’ is the binary response denoting whether the following caller overlapped the preceding caller or not (1 = yes, 0 = no)’; ‘IOI_duration_preceding_focal_call’ is the time that has elapsed (inter-onset interval) since the last call by the following caller; ‘focal_svl’ is the snout-vent-length (body length) of the focal following caller (mm); ‘focal_mass’ is mass of the focal following caller (g); ‘focal_toe_clip_number’ is the permanent ID of the focal following caller (one male appeared in two different choruses, thus had two different ‘ID_focal_following_caller’ track IDs); ‘preceding_caller_svl’ is snout-vent length of preceding caller (mm); ‘preceding_caller_mass’ is mass of preceding caller (g); ‘preceding_caller_focal_toe_clip_number’ is the permanent ID of the preceding caller; ‘max_freq’ is the maximum frequency of the whine of the preceding caller (Hz); ‘min_freq’ is the minimum frequency of the whine of the preceding caller (Hz); ‘after_knee_amplitude_skewness’ is the amplitude skewness of the whine of the preceding caller; ‘min_last_150’ is the minimum final amplitude of the whine of the preceding caller relative to the maximum whine amplitude; ‘distance’ is the inter-caller distance between preceding and following callers (m). * ‘*single_caller_transition_analysis.rmd*’: Code using the above CSV to analyse the factors influencing overlap probability during inter-caller transitions from single preceding callers. More details are in the code comments. ### Folder ‘Synchronous Caller Transition Analysis GLMM’ * ‘*synchronous_caller_transition_data.csv*’: Data with rows representing each following call made by all males in all choruses in these studies, displaying whether they overlapped the call preceding them or not, and detailing the number of synchronous callers contributing to that preceding call and the time that has elapsed since the following caller’s last call. ‘ID_focal_following_caller’ is the track ID of the following caller; ‘chorus_ID’ is chorus_identifier; ‘did_focal_follower_overlap_preceding_call_YN’ is the binary response denoting whether the following caller overlapped the preceding caller or not (1 = yes, 0 = no)’; ‘IDs_synchronous_callers_preceding_focal_call’ is the list of the track IDs of the synchronous callers contributing to the preceding call (necessary for the multiple membership term in the GLMM); ‘Number_synchronous_callers_preceding_focal_call’ is the number of synchronous callers contributing to the preceding call; ‘IOI_duration_preceding_focal_call’ is the time that has elapsed (inter-onset interval) since the last call by the following caller; ‘focal_toe_clip_number’ is the permanent ID of the focal following caller (one male appeared in two different choruses, thus had two different ‘ID_focal_following_caller’ track IDs). * ‘*synchronous_caller_transition_analysis.rmd*’: ‘*single_caller_transition_analysis.rmd*’: Code using the above CSV to analyse the factors influencing overlap probability during inter-caller transitions from single or synchronous preceding callers. More details are in the code comments. ## Data/Code ### Version Information and Packages Used * RStudio v2021.09.0/351 running R v4.2.2 * tidyverse_v2.0.0 * lme4_v1.1.31 * DHARMa_v0.4.6 * rptr_v0.9.22 * smatr_v3.4.8 * MuMIn_v1.47.5 * sjPlot_v2.8.12 * ggplot2_v3.4.1 * lmerTest_v3.1.3 * car_v3.1.2 * splines_v4.2.2 * lmerMultiMember_v0.11.4 * ggridges_v0.5.4 * sna_v2.7.1 * lsa_v0.73.3 * afex v1.3-0