Open Data Release: Global Biotic Interactions data with two types of centralities

As part of efforts to promote building "augmented ecosystems," the Synecoculture team led by M.Funabashi publicly releases a dataset of two types of centrality indices based on open ecological data.

GitHub Link

Global Biotic Interactions Dataset with centrality scores

The paper by Funabashi and Minami [1] demonstrates the dynamical assessment of augmented ecosystems using interactive AI. This GitHub page was created to provide public access to the dataset used in this paper. The dataset is based on an open dataset from Global Biotic Interactions (GloBI) [2], in which two types of centrality indices were added: Betweenness centrality and PageRank.
Using these centrality indices, it is possible to suggest "hub species" in the ecological interaction network that could further enhance the ecosystem functionality of the field.

Fig: An example of the open data linked in GitHub showing interactions between plant species observed in a Synecoculture farm, in Oiso, Japan. 
blue: plants, orange: animals, yellow: fungi, green: others 

This dataset is licensed under CC BY 4.0.

[1] M. Funabashi, T. Minami, Dynamical assessment of aboveground and underground biodiversity with supportive AI Measurement: Sensors, 18 (2021), Article 100167.


[2] Jorrit H. Poelen, James D. Simons and Chris J. Mungall. (2014). Global Biotic Interactions: An open infrastructure to share and analyze species-interaction datasets. Ecological Informatics.