Data of habituation of diademed sifaka in Vohibe forest

###An analysis of the habituation process of diademed sifaka (Propithecus diadema) in Vohibe Forest, Madagascar.Laura U. Mahatoly, Aristide Andrianarimisa, Brigitte M. Raharivololona, Armand Randrianasolo, Fortunat Rakotoarivony, Giovanna Bonadonna, Emily E. Wroblewski, Krista M. Milich.###The file "dur_scan_data_clr_FINAL.csv" represents the database used for the behavioral analyses conducted in the manuscript. #date: date of data collection (m/d/yyyy)#Obs_day: sequential number of observation days#group:group code (VP1, VP2, VP3)#method:duration and scan 5 minute.#behavior: code of the behavior displayed at the 5-minute and duration mark (resting R, vigilance V, traveling T, feeding T, Self-grooming SG, social interactions SOC, others O, not visible NV, not available when animals are not detected by the observer NA) #dur_beh_hr:total duration behavior in hours #DUR_BEH_MIN: total duration of behavior in minute#tot_obs_min: total observation in minute#tot_obs_hr: total observation in hours#PROP:proportions based on the number of scans or duration in minute of a behavior on the total number of scan or observation minutes per day#N_scans: Number of scan of a behavior in a day#scans_nv:total scans NV per day (focal animal detectable but out of sight and not possible to determine the behavior)#scans_na:total scans NA per day (focal animal not detectable)#scans_beh:daily total number of scans for which behaviors could be determined (excludes NA and NV)#scans_obs:total number of scans for observation day, including NA and NV#rescaled_PROP: to avoid the presence of 0 in the dataset, we rescaled the proportions using the formula (Smithson &amp; Verkuilen 2006) x'= ×(length(x)-1)+0.5)/(length(x)) where x’ is the transformed value, x is the proportion of a behavior, and length (x) is the sample size per day (either total number of scans, or duration in minutes).#clr_value:Center-Log-Ratio (CLR) transformation, which is the log of the ratio between the observed proportions of each behavior and their daily geometric mean.<br>###The file "dfZZUSS_FINAL.csv" represents the database used for the quantification of alarm call (zzuss) during the habituation period. The file includes data collected following an all-occurrences sampling method. The datasheet is organized as follows:#date:date of data collection (m/d/yyyy)#Obs_day:sequential number of observation days#group:Group code (VP1, VP2, VP3)#method_plot: data are collected as duration#method:method of data collection of other behaviors in a given day, although zzuss is always recorded as duration. The method can be ad libitium (dur_adlib) or 5-minute instantaneous scans (dur_scan).#dur_ZZUSS_hr: daily duration alarm call ZZUSS in hours#tot_obs_hr_nonv: total daily observation hours, excluding when non visible# PROP: proportions based on the duration of zzuss on the total observation time in a day. For days with 5-minute scans the daily observation time was calculated based on the number of scans. #Nscans: Number of scans in a day, including when the focal individual was not visible or detectable. #scans_nv: total number of scans in which the animal was not visible/not detectable#scan_obs: total number of scan of observation excluding when the individual was not visible/not detectable#min_ obs: total minute of observation based on column scan_obs (value in scan_obs*5).###The "Script_habituation_pd_final" file includes all the R codes used to generate the study results using the datasets "dur_scan_data_clr_FINAL.csv" and "ZZUSS_FINAL.csv".<br>