Research outputs
2026
How to quantify and minimise error in coral skeletal density estimates using X-ray µCT
Bertini, L., Hendy, E., Summerfield, R., Fernandez, V., Clark, B., Martin-Silverstone, E., . . . Johnson, K. (2026). How to quantify and minimise error in coral skeletal density estimates using X-ray µCT. Royal Society Open Science, 13(3). doi:10.1098/rsos.251288
Code for: How to quantify and minimise error in coral skeletal density estimates using X-ray µCT
Bertini, L. (2026). Code for: How to quantify and minimise error in coral skeletal density estimates using X-ray µCT (Version v2026.0.0) [Python/R]. doi:10.5281/zenodo.18599470
2022
Biogeochemical Timescales of Climate Change Onset and Recovery in the North Atlantic Interior Under Rapid Atmospheric CO <sub>2</sub> Forcing
Bertini, L., & Tjiputra, J. (2022). Biogeochemical Timescales of Climate Change Onset and Recovery in the North Atlantic Interior Under Rapid Atmospheric CO <sub>2</sub> Forcing. Journal of Geophysical Research: Oceans, 127(4). doi:10.1029/2021jc017929
Towards the analysis of coral skeletal density-banding using deep learning
Rutterford, A., Bertini, L., Hendy, E. J., Johnson, K. G., Summerfield, R., & Burghardt, T. (2022). Towards the analysis of coral skeletal density-banding using deep learning. SN Applied Sciences, 4(2). doi:10.1007/s42452-021-04912-x
The Contribution of Nutrients and Water Properties to the Carbonate System in Three Particular Areas of the Tropical Atlantic (NE-BRAZIL)
Bertini, L., & Braga, E. D. S. (2022). The Contribution of Nutrients and Water Properties to the Carbonate System in Three Particular Areas of the Tropical Atlantic (NE-BRAZIL). Journal of Geoscience and Environment Protection, 10(02), 135-161. doi:10.4236/gep.2022.102009