Differential geographic patterns in song components of male Albert’s lyrebirds

Description of each file: ~~~~~ ALB.elements.csv Measurements of all elements within all songs used in the analysis. This dataset was used in the PCA on all elements (Fig. 2) and to create all other song datasets. Description of columns in ALB.elements.csv Name of Column Description View Specifies measurement was taken from the spectrogram Begin.Time Begin time of the element within the recording End.Time End time of the element within the recording Low.Freq The lowest frequency of the element High.Freq The highest frequency of the element BW.90 Frequency bandwidth within which 90% of the power within the element occurs Peak.Freq Frequency with the highest power in the element Centre.Freq Frequency that divides the element into two frequency intervals of equal energy Begin.File Name of the recording file the element is in Location Study site the recording of the element was taken from Bird.ID Identity of bird recorded Dur.90 Duration within which 90% of the power within the element occurs Peak.Freq.Contour Vector of the peak frequencies of each spectrogram slice in the selection Freq.5 Frequency at which 5% of the energy in the element is below Freq.95 Frequency at which 95% of the energy in the element is below Type Broad categorical description of the element shape/quality Song Song the element is from. Unique within each recording file Order.pct The order at which the element occurs in the song, calculated as a percentage of the number of elements in the song. Begin.freq The first frequency in the peak frequency contour End.freq The last frequency in the peak frequency contour Slope The difference between End.freq and Begin.freq Type.cat The type of element within the song - introductory, body, or final Type.b The type of element within the song, distinguishing the "buzz" final elements of Goomburra from other final elements PC1 The first principal component as calculated in Minitab PC2 The second principal component as calculated in Minitab PC3 The third principal component as calculated in Minitab ~~~~~ intro.elements.csv Contains the data required for the analysis on the introductory elements. Description of columns in intro.elements.csv Name of Column Description Begin.File Name of the recording file the element is in Location Study site the recording was taken in Bird.ID Identity of the bird recorded Song Song within the recording the element is from BW.90 Frequency bandwidth within which 90% of the power within the element occurs Peak.Freq Frequency with the highest power in the element Dur.90 Duration within which 90% of the power within the element occurs Begin.freq The first frequency in the peak frequency contour End.freq The last frequency in the peak frequency contour log.dur log transformation of 90% duration PC1 The first principal component as calculated in Minitab PC2 The second principal component as calculated in Minitab PC3 The third principal component as calculated in Minitab PC4 The fourth principal component as calculated in Minitab PC5 The fifth principal component as calculated in Minitab ~~~~~ final.elements.nobuzz.csv Contains the data required for the analysis on final elements. Note that this does not include the "buzz" elements from Goomburra. A dataset with all final elements including the "buzz" elements derived from "ALB.elements.csv" is included as "final.elements.csv". Description of columns in final.elements.nobuzz.csv Name of Column Description Begin.File Name of the recording file the element is in Location Study site the recording was taken in Bird.ID Identity of the bird recorded Song Song within the recording the element is from BW.90 Frequency bandwidth within which 90% of the power within the element occurs Peak.Freq Frequency with the highest power in the element Dur.90 Duration within which 90% of the power within the element occurs Begin.freq The first frequency in the peak frequency contour End.freq The last frequency in the peak frequency contour log.endfr log transformation of 4000 minus End.freq PC1 The first principal component as calculated in Minitab PC2 The second principal component as calculated in Minitab PC3 The third principal component as calculated in Minitab PC4 The fourth principal component as calculated in Minitab PC5 The fifth principal component as calculated in Minitab ~~~~~ song.body.csv ALB.songs.csv Contains the data required for the analysis on the song body and the full song respectively. Column names and descriptions are identical in each dataset. Description of columns in song.body.csv and ALB.songs.csv Column Name Description Location Study site the recording was taken in Bird.ID Identity of the bird recorded Begin.File Name of the recording file the element is in Song Song identity within each recording Length Song duration Freq.range.90 90% song bandwidth Max.freq Peak frequency of the higest element in the song Min.freq Peak frequency of the lowest element in the song CV.pf Coefficient of variation of element peak frequency CV.dur Coefficient of variation of 90% element duration slope Song slope as a regression of centre frequency over the position of the element within the song (order.pct) PC1 The first principal component as calculated in Minitab PC2 The second principal component as calculated in Minitab PC3 The thiird principal component as calculated in Minitab PC4 The fourth principal component as calculated in Minitab PC5 The fifth principal component as calculated in Minitab ~~~~~ distances.csv Contains the geographic distance measures between each population, required for the mantel tests. Can be converted into distance matrices. Description of columns in distances.csv Column name Description Site.x First location in the distance measure. BB = Lamington (Binna Burra), BR = Border Ranges, GB = Goomburra, KL = Killarney, MJ = Mt Jerusalem, TM = Tamborine Site.y The second location in the distance measure PathCost Cost of the least cost path between locations Length Length of the least cost path between locations SL.dist Straight line (geodetic) distance between locations resist.length Cost x length of the least cost path between locations, used in paper as measure of geographic separation ~~~~~ ALB_Whistle_song_analysis.R R code used to create the song and song component datasets, and for each analysis. R code is annotated. ~~~~~ SDM_layer.zip The Species Distribution Model layer, used to calculate least cost paths between locations. The layer file is called "species.asc" and can be opened in ArcMap.