R scripts (only for first author papers)

Random forest model for prediction of strontium isotope ratios in Europe [Bataille et al. 2018]. Dataset and R code

Random forest model for prediction of strontium isotope ratios at the global scale [Bataille et al. 2020]. Dataset and R code 

Statistical model for resampling global detrital zircon data [Bataille et al. 2017]. Dataset and R code

ISOSCAPES

Conterminous USA

The archives below contain grids representing modeled 87Sr/86Sr values for bedrock, Sr derived from local bedrock weathering, and catchment-integrated river water dissolved Sr. These files contain data presented in figures 6B, 9A and 9B in Bataille and Bowen (2012).

Circum-Carribean

The archives below contain grids representing modeled 87Sr/86Sr values for bedrock, Sr derived from a combination of weathering of local bedrock, dust aerosol, and seasalt aerosol, and catchment-integrated river water dissolved Sr for parts of Central and South America and the Caribbean islands. These files contain data presented in figures 2 and 5B of Bataille et al. (2012) and from the application of the runoff model of Bataille and Bowen (2012) to the multi-source weathered Sr layer.

Alaska

The archives below contain grids representing modeled 87Sr/86Sr values for bedrock, Sr derived from a combination of weathering of local bedrock, terranes, and catchment-integrated river water dissolved Sr for Alaska. These files contain data presented in Bataille et al. (2014) .

Catchment Water Model