Dataset: Simulations and Scripts to perform Hierarchical Approximate Bayesian Computation analysis (HABC) (Multispecies Connectivity project)

ValidatedFinal no updates expectedVersion 1 (2017-05-08)Dataset Type:model results

Principal Investigator, Contact: Yvonne Ling-Hsiang Chan (University of Hawaiʻi at Mānoa)

Co-Principal Investigator: Dr Kimberly Selkoe (University of California-Santa Barbara)

BCO-DMO Data Manager: Nancy Copley (Woods Hole Oceanographic Institution)

Project: Multispecies connectivity: Comparative analysis of marine connectivity and its drivers for the coral reefs of Hawaii (Multispecies Connectivity)

Abstract

Simulations and Scripts to perform Hierarchical Approximate Bayesian Computation analysis (HABC) (Multispecies Connectivity project).

Cite Dataset

This dataset includes raw data for model simulations and scripts for analyzing the data and products of a Hierarchical Approximate Bayesian Computation analysis.

* Download the associated files (12.4 GB): http://dmoserv3.bco-dmo.org/data/toonen/Multispecies_Connectivity/Toonen_et_al_OCE-1260169_Data_Submission_2017-05-04.zip

Related Datasets

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Related Publications

General
Burbrink, F. T., Chan, Y. L., Myers, E. A., Ruane, S., Smith, B. T., & Hickerson, M. J. (2016). Asynchronous demographic responses to Pleistocene climate change in Eastern Nearctic vertebrates. Ecology Letters, 19(12), 1457–1467. doi:10.1111/ele.12695
Methods
Chan, Y. L., Schanzenbach, D., & Hickerson, M. J. (2014). Detecting Concerted Demographic Response across Community Assemblages Using Hierarchical Approximate Bayesian Computation. Molecular Biology and Evolution, 31(9), 2501–2515. doi:10.1093/molbev/msu187

Chan, Y. L., Selkoe, K. (2017) Simulations and Scripts to perform Hierarchical Approximate Bayesian Computation analysis (HABC) (Multispecies Connectivity project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2017-05-08 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/699774 [access date]

Terms of Use

This dataset is licensed under Creative Commons Attribution 4.0.


If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.

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Funded by the U.S. National Science Foundation