Dataset: Data associated with a connectivity modeling study in Kimbe Bay, Papua New Guinea (Metapopulation Connectivity project)

This dataset has not been validatedPreliminary and in progressVersion 24 October 2016 (2016-10-24)Dataset Type:model results

Principal Investigator: Rubao Ji (Woods Hole Oceanographic Institution)

Co-Principal Investigator: Julie Kellner (Woods Hole Oceanographic Institution)

Co-Principal Investigator: Michael G. Neubert (Woods Hole Oceanographic Institution)

Co-Principal Investigator: Simon Thorrold (Woods Hole Oceanographic Institution)

BCO-DMO Data Manager: Shannon Rauch (Woods Hole Oceanographic Institution)

Project: Marine Metapopulation Connectivity: Modeling, Estimation and Demographic Consequences (Metapopulation Connectivity)

Cite Dataset

The model data were generated by a coupled hydrodynamic and Lagrangian particle tracking model in order to examine metapopulation connectivity of coral reefs in Kimbe Bay, Papua New Guinea.

Data are currently available from the project's THREDDS server: http://delmar.whoi.edu:8080/thredds/catalog/default/kimbe/catalog.html

Related Datasets

No Related Datasets

Related Publications

No Related Publications

Ji, R., Kellner, J., Thorrold, S., Neubert, M. G. (2016) Data associated with a connectivity modeling study in Kimbe Bay, Papua New Guinea (Metapopulation Connectivity project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 24 October 2016) Version Date 2016-10-24 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/662367 [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.

NSF Logo©2020 Biological and Chemical Oceanography Data Management Office.
Funded by the U.S. National Science Foundation