Seymour Island
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This dataset contains fossil occurrence data from the Cretaceous Lopez de Bertodano Formation (Maastrichtian), on Seymour Island, compiled in August 2022. Fossils were collected by Carlos Macellari and William Zinsmeister over several field seasons in the 1980s, and are presently (since 2010) reposited in the Paleontological Research Institution, Ithaca, NY. Data in this spreadsheet are presented by locality (station number, as compiled by PRI), with fossils identified at the family level. This work has been supported by Natural Environment Research Council (NERC) Independent Research Fellowship NE/S014756/1, awarded to EM. TMK is funded by a Cambridge International and Newnham College Scholarship, administered by Cambridge Trust. The Newnham College United States Travel Bursary funded TMK''s visit to the PRI Collections. RJW and HJG are funded by UK Research and Innovation (UKRI) Future Leaders Fellowship MR/W01002X/1 "The past, present and future of unique cold-water benthic (seafloor) ecosystems in the Southern Ocean" awarded to RJW. HJG is also funded by BIOPOLE, under the National Capability Science Multi-Centre award scheme (NC-SM2).
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These files comprise lists of neogastropod species from the Early Cenozoic of Seymour Island, Antarctica and tropical counterparts in both the US Gulf Coast and Paris Basin. They comprise a key part of the raw data analysed in the paper Crame et al. (2018). For each of these three localities species are listed in taxonomic order, following conventional taxonomic notation. Faunas are listed for the Paleocene, Early Eocene and Middle Eocene time intervals for the two tropical localities, but only for the Paleocene and Middle Eocene of Antarctica. The accurate location of all the localities is given in a series of published papers. The Seymour Island samples were collected across three field seasons; 1999, 2006 and 2010. The US Gulf Coast and Paris Basin data were constructed from existing literature. Funding was provided by the NERC grants NE/I005803/1 and NE/C506399/1.
NERC Data Catalogue Service