Data from: Coupled nickel and molybdenum isotopes quantifies the evolution of the ocean system since the Late Cretaceous
Data files
Jul 23, 2026 version files 32.94 KB
Abstract
Nickel isotopes (d60Ni) are an emerging tool for understanding ocean biogeochemical evolution, given improved modern Ni budget constraints. Here, we provide the first constraints on past ocean Ni isotope compositions from organic-rich sediments from Tarfaya Basin core SN°4. The data constrain Late Cretaceous ocean d60Ni to +0.8 to +1.0‰, lower than the modern value of +1.34‰. Mass balance modelling suggests two drivers of this difference: changes in riverine input isotope composition during the Cenozoic and a more reducing Late Cretaceous ocean. Because Ni and Mo isotopes respond differently to changes in ocean inputs and redox-sensitive sinks, coupled Ni-Mo models help to deconvolve the relative importance of the two processes. The results show that the areal fraction of the euxinic sink was higher than today, reaching 2% during OAE2, and that the importance of the deep ocean oxic sink relative to the euxinic sink increased during the Cenozoic, potentially driven by changes in the biological pump and ocean circulation.
Dataset DOI: 10.5061/dryad.3xsj3txwf
Description of the data and file structure
File: Table_S1._Elemental_abundances_and_Ni_isotope_compositions_of_the_Tarfaya_Basin_core_SN°4.xlsx
Description: This file contains the elemental abundance and nickel isotope data for 68 samples from the Tarfaya Basin core SN°4. These data support the analyses and conclusions presented in the related manuscript.
Variables:
- Depth: Sample depth in the core (m).
- Stage: Stratigraphic stage or event interval, including Cenomanian, OAE 2, MCE, PCE, and Turonian.
- Al: Aluminum concentration (wt%).
- Ni: Nickel concentration (ppm).
- d60Ni: Nickel isotope composition, δ60Ni, reported in per mil (‰).
- 2 SD: Two standard deviations of the nickel isotope measurement (‰)
Data reuse:
The data can be opened and analyzed using Microsoft Excel, LibreOffice Calc, or other software capable of reading .xlsx files. Please refer to the related manuscript for details of sampling, analytical methods, and data interpretation.
License:
The data are submitted to Dryad under the CC0 public-domain dedication.
