This record contains the R code and bibliographic data used in the publication 'Reciprocal knowledge exchange between climate-driven species redistribution and invasion ecology' (doi:10.21425/F5FBG60804). The aim of this study was to examine the current degree of cross-fertilisation between range shift ecology and invasion ecology, as a first step in determining the level of need for increasing connection between the two fields. To that end, here we examine (1) the structure and degree of similarity of themes explored within range shift and invasion ecology publications, (2) the extent that range shift and invasion publications draw on a common pool of research, and (3) the extent that range shift and invasion publications directly cite publications from the other field of study. This dataset includes: 1) R code used in the litsearchr package to generate a semi-automated search string, 2) publication data used for bibliographic analysis, and 3) R code used with the bibliometrix package for keyword co-occurrence analysis.

Sea snake sightings from Baited Remote Underwater Video Stations deployed by the Australian Institute of Marine Science were used to predict locations that are likely important habitats for sea snake populations within the North West Marine Region (NWMR). Presence/Absence of sea snakes were modelled with environmental parameters using Gradient Boosted Regression Tree model to predict habitat suitability within the 1000 m depth contour along the NWMR. This output is a result of work conducted as part of the NESP Marine Hub Project A8- 'Exploring the status of Western Australia's sea snakes'. See project page for more details and updates: https://www.nespmarine.edu.au/project/project-a8-exploring-status-western-australian-sea-snakes

Snapper and King George whiting occurrence records were aggregated from the Reef Life Survey dataset, IMAS Archives, the Tassie Fish Frame Collection Program, Atlas of Living Australia and Redmap, in addition to pseudoabsences generated through space and time within the study extent, and matched to environmental covariates (sourced from Copernicus Marine) used for species distribution modelling for FRDC project 2018-070