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Published December 1, 2021 | Version v1
Dataset Open

Predictor complexity and feature selection affect Maxent model transferability: evidence from global freshwater invasive species

Authors/Creators

  • 1. National University of Singapore

Description

This dataset contains the following:

  1. Occurrence datasets of five global freshwater invasive species (African sharptooth catfish Clarias gariepinus, Mozambique tilapia Oreochromis mossambicus, American bullfrog Lithobates catesbeianus, red swamp crayfish Procambarus clarkii, and Australian redclaw crayfish Cherax quadricarinatus)
  2. Background points for presence-only ecological niche modelling (e.g., Maxent)
  3. Example R script (with annotations inline) to conduct model tuning and transferability assessments using Maxent

Notes

Global climatic layers for Maxent model calibration can be obtained from WorldClim (https://www.worldclim.org/) and the Intergovernmental Panel on Climate Change (IPCC) Data Distribution Centre (http://www.ipcc-data.org).

Funding provided by: Singapore Ministry of Education *
Crossref Funder Registry ID:
Award Number: R-154-000-633-112

Funding provided by: Ah Meng Memorial Conservation Fund *
Crossref Funder Registry ID:
Award Number: R-154-000-617-720

Funding provided by: Lee Kong Chian Natural History Museum*
Crossref Funder Registry ID:
Award Number:

Funding provided by: National Research Foundation Singapore
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001381
Award Number: NRF-CSC-ICFC2017-05

Funding provided by: Singapore Ministry of Education
Crossref Funder Registry ID:
Award Number: R-154-000-633-112

Funding provided by: Ah Meng Memorial Conservation Fund
Crossref Funder Registry ID:
Award Number: R-154-000-617-720

Funding provided by: Lee Kong Chian Natural History Museum
Crossref Funder Registry ID:

Files

Occurrences_and_background.zip

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Additional details

Related works

Is cited by
10.1016/j.ecolmodel.2016.09.019 (DOI)
10.1016/j.biocon.2018.04.033 (DOI)