Mass estimates and morphometric meassurements of Discoaster species and Sphenolithus from Ceara Rise ODP Site 927


Autoria(s): Preiß-Daimler, Inga; Baumann, Karl-Heinz; Henrich, Rüdiger
Cobertura

LATITUDE: 5.462867 * LONGITUDE: -44.480567 * DATE/TIME START: 1994-02-28T00:00:00 * DATE/TIME END: 1994-03-04T00:00:00 * MINIMUM ELEVATION: -3326.7 m * MAXIMUM ELEVATION: -3326.7 m

Data(s)

29/08/2012

Resumo

Mass estimates for Late Miocene and Pliocene (8.6-3.25 Ma) Discoaster species and Sphenolithus are determined using samples of the equatorial Atlantic (Ceara Rise: ODP Site 927). Based on morphometric measurements, 3D computer models were created for 11 Discoaster species and their volumes calculated. From these, shape factors (ks) were derived to allow calculation of mass for different-sized discoasters and Sphenolithus abies. The mass estimates were then used to calculate the contribution of nannofossils to the total nannofossil carbonate. The discoaster contribution ranges from 10% to 40%, with a decreasing trend through the investigated interval. However, our estimates of total nannofossil carbonate from size-corrected abundance data are consistently 30-50% lower than estimates from grain-size measurement; this suggests that data based on mass estimates need to be interpreted with caution.

Formato

text/tab-separated-values, 2482 data points

Identificador

https://doi.pangaea.de/10.1594/PANGAEA.818649

Idioma(s)

en

Publicador

PANGAEA

Direitos

Access constraints: access rights needed

Fonte

Supplement to: Preiß-Daimler, Inga; Baumann, Karl-Heinz; Henrich, Rüdiger (2012): Carbonate budget mass estimates for Neogene discoasters from the Equatorial Atlantic (Ceara Rise: ODP Site 927). Journal of Micropalaeontology, 31(2), 169-178, doi:10.1144/0262-821X11-014

Palavras-Chave #154-927; Area in square milimeter; Center for Marine Environmental Sciences; COMPCORE; Composite Core; Half ray width; Image analysis; Joides Resolution; Leg154; MARUM; North Atlantic Ocean; Radius; Ray length; Ray tip base; Species
Tipo

Dataset