Published July 31, 2023 | Version v1
Dataset Open

Sex differences in the song circuit and song acoustic complexity in male and female house wrens

Authors/Creators

  • 1. University of Scranton

Description

In this study, we compared neural song circuit morphology to singing behavior recorded in the field for 17 male and 18 female house wrens. The acoustic complexity of house wren songs was quantified using a recently published machine learning approach. This data set includes recordings of all house wren songs used in this analysis along with Raven selection tables defining the boundaries of each syllable. This includes 109 female songs. R code used to extract acoustic features and estimate element diversity and our proxy for song acoustic complexity are included. Summaries of acoustic variables for each song and each element are provided as well as files necessary to replicate the analysis. For each bird, we measured volume, cell number, cell density, and neuron soma size for three song circuits, Area X, HVC (used as a proper name), and the robust nucleus of the arcopallium (RA), and one control region, the nucleus rotundus (Rt). This data set includes these neural morphology measurements for each bird as well as R code used to (1) compare males and females for each neural measurement and (2) explore the relationship between acoustic complexity and neural morphology within each sex.     

Notes

R can be used to run the code files ("acoustic.space.and.ED.calculations", "snr.and.automatic.frequency.detection", "statistics.and.figs"). These files can also be opened in Notepad.  Txt files associated with each sound file can be opened in Raven Pro or Raven Lite (free version) to visualize the boundaries of each element type. These files can also be opened in any program that can read .txt files.  

Files

acoustic.parameters.csv

Files (85.1 MB)

Name Size Download all
md5:38aeaa5a91abf771db36838e3c0dcad4
2.0 MB Preview Download
md5:b82ac72657406a71f64e7b262b259ca6
20.6 kB Preview Download
md5:910a64f66fbc840c83cadabf37334a3e
2.4 MB Preview Download
md5:1769a6e7b7c2dcecf036f420ee11b496
204.0 kB Preview Download
md5:2c98302beb0b8b8efba3254d51901445
414.2 kB Preview Download
md5:16ed3e65256506f5a9761d85f3c087ce
7.5 kB Preview Download
md5:618154dcc5910e4efa947ec4d9e11db3
17.9 kB Preview Download
md5:207a84ca4c1c295edbc51db636f124f6
30.7 kB Preview Download
md5:4701027d36e2527b1ff534298db759d7
77.0 MB Preview Download
md5:963cff90d3ca8621ceff2b3b07eec7e5
1.4 MB Preview Download
md5:b373b5d38607f8abe163ab649eb7e219
1.7 MB Preview Download

Additional details

Related works

Is derived from
10.5281/zenodo.7582112 (DOI)