Species interaction datasets supported by GloBI can be accessed in various ways. For most, this website and its pages may be helpful to poke around the data. Other projects like GoMexSI, Encyclopedia of Life, and Ecosystem Explorer present GloBI data in a human readable format.

Exploratory, interactive queries can be executed through SPARQL and Cypher (see more examples) endpoints, GloBI Search/Browse pages, or by using the REST-y GloBI Web API. For those that use R, rglobi is available to explore interaction data. rglobi can also be used to execute Cypher queries.

For research or other data intensive project, please use GloBI’s most recent aggregated interaction datasets such as:

• interactions.tsv.gz contains species interactions tabulated as pair-wise interactions in a gzipped tab-separated values format.

• citations.tsv.gz contains data citations in a gzipped tab-separated values format.

• interactions.csv.gz contains species interactions tabulated as pair-wise interactions in a gzipped comma-separated values format.

• citations.csv.gz contains data citations in a in a gzipped comma-separated values format.

• interactions.nq.gz contains species interactions expressed in the resource description framework in a gzipped rdf/quads format.

• taxonMap.tsv.gz describes how names in existing datasets were mapped into existing naming schemes in a gzipped tab-separated values format.

• taxonCache.tsv.gz contains hierarchies and identifiers associated with names from naming schemes in a gzipped tab-separated values format.

• darwin core-ish archive contains species interactions data as a Darwin Core Archive using a custom, occurrence level, association extension.

• darwin core-ish archive aggregated by study contains species interactions data as a Darwin Core Archive aggregated by study using a custom, occurrence level, association extension.

• neo4j v2.3.12 graph database contains a neo4j database snapshot containing a graph representation of the species interaction data.

Data in GloBI is generously provided by researchers and collections openly sharing their datasets. When using this data, please make sure to attribute the original data contributors, including citing the specific datasets in derivative work. Also, please consider to contribute to improve access to existing species interaction data.

In case the provided methods to access species interactions data do not quite suit your needs, please open an issue or contact the author(s) of doi:10.1016/j.ecoinf.2014.08.005.

For more information, please visit Accessing Species Interaction Data wiki page.