Data and R code from: Global Phanerozoic biodiversity, can variation be explained by spatial sampling intensity

Variation in observed global generic richness over the Phanerozoic must be partly explained by changes in the numbers of fossils and their geographic spread over time. The influence of sampling intensity (i.e., the number of samples) has been well addressed, but the extent to which the geographic distribution of samples might influence recovered biodiversity is comparatively unknown. To investigate this question, we create models of genus richness through time by resampling the same occurrence dataset of modern global biodiversity using spatially explicit sampling intensities defined by the paleo-coordinates of fossil occurrences from successive time intervals. Our steady-state null model explains about half of observed change in uncorrected fossil diversity and a quarter of variation in sampling-standardized diversity estimates. The inclusion in linear models of two additional explanatory variables associated with the spatial array of fossil data (absolute latitudinal range of occurren..., Fossil data were downloaded from the Palebobiology Database and manually cleaned to remove errors (i.e., non-marine organisms being included in the marine dataset).
Modern marine invertebrate data were downloaded from the Ocean Biodiversity Information system using the R API.
Further data transformations and statistical analyses were performed on the datasets using the R code provided. , , # Data records and R code from: Global Phanerozoic biodiversity, can variation be explained by spatial sampling intensity

[https://doi.org/10.5061/dryad.2280gb621](https://doi.org/10.5061/dryad.2280gb621)

These data records pertain to our manuscript that attempted to answer the question - \"what if we sampled biodiversity from the modern world's oceans with the same spatial completeness of the fossil record?\". To do this, we needed fossil data (from the PBDB - paleobiology database), records of the spatial distribution of modern marine organisms (from the OBIS - ocean biodiversity information system), and spatial statistics to figure out how to sample the records. 

These files contain the original (altered in some cases) data files and the R code that was used to perform the statistical analyses and create the charts.

## Methodology

First, we manually download and clean fossil data from the Paleobiology Database. In our case, these are marine invertebrates from the entire Phanerozoi...