Articles | Volume 35, issue 2
https://doi.org/10.5194/sd-35-229-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
GEODESC web applications for collaborative description of geological materials – a legacy of the JOIDES Resolution era
Cited articles
Allan, J., Alt, J., Arai, S., Bloomer, S., Ceuleneer, G., Henry, Dick, H., Miller, J., Natland, J., Robinson, P., Herzig, P., and Macleod, C.: Final Report Excerpts: Hard Rock Working Group of the JOIDES Scientific Measurements Panel (SCIMP), in: JOIDES Journal, 29-2, 18–21, Miami, Florida, https://www-odp.tamu.edu/publications/citations/joides_j/joides_j_29_2.pdf (last access: 13 October 2026), 2003.
Boiger, R., Churakov, S. V., Ballester Llagaria, I., Kosakowski, G., Wüst, R., and Prasianakis, N. I.: Direct mineral content prediction from drill core images via transfer learning, Swiss J. Geosci., 117, https://doi.org/10.1186/s00015-024-00458-3, 2024.
Childress, L. B., Acton, G. D., Percuoco, V. P., and Hastedt, M.: The LILY database: Linking lithology to IODP physical, chemical, and magnetic properties data, Geochem. Geophys. Geosy., 25, e2023GC011287, https://doi.org/10.1029/2023gc011287, 2024.
Dawson, H. L., Dubrule, O., and John, C. M.: Impact of dataset size and convolutional neural network architecture on transfer learning for carbonate rock classification, Comput. Geosci., 171, 105284, https://doi.org/10.1016/j.cageo.2022.105284, 2023.
Integrated Ocean Drilling Program (IODP): IODP Depth Scales Terminology, Integrated Ocean Drilling Program, Version 2.0, Zenodo, https://doi.org/10.5281/zenodo.19098907, 2011.

