Skip to content
View DenaJGibbon's full-sized avatar
28 followers · 1 following

Achievements

Achievement: Arctic Code Vault Contributor

Achievements

Achievement: Arctic Code Vault Contributor

Block or report DenaJGibbon

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
DenaJGibbon/README.md

Hi there 👋

Welcome to Dena J. Clink's GitHub page. This is where I archive my code from peer-reviewed publications, and highlight current projects I am working on.

R Packages

gibbonR - R package for automated detection, classification and visualization of acoustic signals using traditional machine learning
https://github.com/DenaJGibbon/gibbonR

gibbonNetR - R package for automated detection, classification and visualization of acoustic signals using deep learning
https://github.com/DenaJGibbon/gibbonNetR

behaviouR - R package for online teaching of fundamental concepts in behavior and ecology
https://github.com/DenaJGibbon/behaviouR

Publications

You can access PDFs of all of my publications on my website: https://www.denaclink.com/.

Tutorials

I am slowly starting to convert my code into tutorials. You can access tutorials here: https://www.denaclink.com/post/.

The R code for select publications is available here.

Clink, D. J., Zafar, M. *, Ahmad, A.H. & Lau, A.R. * (2021). Limited evidence for individual signatures or site-level patterns of variation in male Northern gray gibbon (Hylobates funereus) duet codas. International Journal of Primatology. 896-914. Code here.

Clink, D. J., Groves, T.*, Ahmad, A.H. & H. Klinck. (2021). Not by the light of the moon: investigating circadian rhythms and ecological predictors of calling in Bornean great argus. PLOS ONE. 16: e0246564. Code here.

Clink, D. J., Crofoot, M. C., & A.J. Marshall. (2018). Application of a semi-automated vocal fingerprinting approach to monitor Bornean gibbon females in an experimentally fragmented landscape in Sabah, Malaysia. Bioacoustics. 1-17. Code here.

Clink, D. J., Grote, M.N., Crofoot, M. C., & A.J. Marshall. (2018). Understanding sources of variance and correlation among features of Bornean gibbon (Hylobates muelleri) female calls. Journal of the Acoustical Society of America. 142: 1-11. Code here.

Clink, D. J., Charif, R.A., Crofoot, M. C., & A.J. Marshall. (2018). Evidence for vocal performance constraints in a female non-human primate. Animal Behaviour. 141: 85-94. Code here.

Pinned Loading

  1. gibbonR gibbonR Public

    An R package for the detection and classification of acoustic signals using machine learning

    R 14 3

  2. behaviouR behaviouR Public

    an R package for online teaching of fundamental concepts in behavior and ecology

    R 4 1

  3. gibbonID gibbonID Public

    The goal of gibbonID is make clustering and visualization of acoustic data in R easy.

    R

  4. MFCC-Vocal-Fingerprinting MFCC-Vocal-Fingerprinting Public

    Code to do MFCC feature extraction on gibbon calls and use LDA/SVM for classification

    R 7

  5. Performance-Constraints Performance-Constraints Public

    Code to calculate bandwidth and signal-to-noise ratio of trill notes, along with model selection

    R