Dataset: POC concentration at the sediment water interface quantified from bio-energetic modeling on a 0.25°×0.25° resolution global grid

This dataset has not been validatedPreliminary and in progressVersion 1 (2020-11-13)Dataset Type:model results

Principal Investigator: James Bradley (Queen Mary University of London)

Co-Principal Investigator: Doug LaRowe (University of Southern California)

BCO-DMO Data Manager: Amber D. York (Woods Hole Oceanographic Institution)


Program: Center for Dark Energy Biosphere Investigations (C-DEBI)

Project: Develop a 1D biogeochemical-evolutionary model for deep sediments (BIO-SED)


Abstract

Particulate organic carbon (POC) concentration at the sediment water interface. These data are part of a project that used bio-energetic modeling to quantify a number of subseafloor parameters on a 0.25°×0.25° resolution global grid. These data were published in Bradley et al. (2020).

Additional funding to the Center for Dark Energy Biosphere Investigations [C-DEBI] award OCE-0939564:

Deep Carbon Observatory (the Deep Life Modelling and Visualization (DLMV) and Deep Energy programs); NASA Astrobiology Institute–Life Underground (NAI-LU, NNA13AA92A); the NASA Astrobiology Program under the Joint NASA-NSF Ideas Lab on the “Origins of Life” (NSF Solicitation 16-570); the Alexander von Humboldt Foundation; NERC (NE/T010967/1); European Union Horizon 2020 under the Marie Skłodowska-Curie grant agreement no. 643052 (C-CASCADES); USC Zumberge Fund Individual Grant Program.


Related Datasets

References

Dataset: Power per cell CH4 O2 and SO4
Relationship Description: Other data from the same project gridded at the same resolution.
Bradley, J., LaRowe, D. (2020) Cell-specific power utilization (power per cell) in methanogenic, oxic, and sulfate-reducing sediments quantified from bio-energetic modeling of subseafloor parameters on a 0.25°×0.25° resolution global grid. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-11-13 http://lod.bco-dmo.org/id/dataset/828884
References

Dataset: EA maps z10 zholo and zpleisto
Relationship Description: Other data from the same project gridded at the same resolution.
Bradley, J., LaRowe, D. (2020) Major catabolic pathway of organic carbon oxidation in Quaternary-age sediment quantified from bio-energetic modeling of subseafloor parameters on a 0.25°×0.25° resolution global grid. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-11-13 http://lod.bco-dmo.org/id/dataset/828821
References

Dataset: Power per cell z10 zholo and zpleisto
Relationship Description: Other data from the same project gridded at the same resolution.
Bradley, J., LaRowe, D. (2020) Microbial power production per cell in Quaternary-age sediment quantified from bio-energetic modeling of subseafloor parameters on a 0.25°×0.25° resolution global grid. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-11-13 http://lod.bco-dmo.org/id/dataset/828871
References

Dataset: P cm3 z10 zholo and zpleisto
Relationship Description: Other data from the same project gridded at the same resolution and sediment depths.
Bradley, J., LaRowe, D. (2020) Power produced by microbial POC degradation in Quaternary-age sediment quantified from bio-energetic modeling of subseafloor parameters on a 0.25°×0.25° resolution global grid. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-11-13 http://lod.bco-dmo.org/id/dataset/828861

Related Publications

Results

Bradley, J. A., Arndt, S., Amend, J. P., Burwicz, E., Dale, A. W., Egger, M., & LaRowe, D. E. (2020). Widespread energy limitation to life in global subseafloor sediments. Science Advances, 6(32), eaba0697. doi:10.1126/sciadv.aba0697
Methods

D’Hondt, S., Inagaki, F., Zarikian, C. A., Abrams, L. J., Dubois, N., Engelhardt, T., … Ziebis, W. (2015). Presence of oxygen and aerobic communities from sea floor to basement in deep-sea sediments. Nature Geoscience, 8(4), 299–304. doi:10.1038/ngeo2387
Methods

Egger, M., Riedinger, N., Mogollón, J. M., & Jørgensen, B. B. (2018). Global diffusive fluxes of methane in marine sediments. Nature Geoscience, 11(6), 421–425. doi:10.1038/s41561-018-0122-8
Methods

Kallmeyer, J., Pockalny, R., Adhikari, R. R., Smith, D. C., & D’Hondt, S. (2012). Global distribution of microbial abundance and biomass in subseafloor sediment. Proceedings of the National Academy of Sciences, 109(40), 16213–16216. doi:10.1073/pnas.1203849109
Software

MathWorks (2017), MATLAB version R2017a (9.2) Documentation, The Mathworks, Inc. Retrieved November 13, 2020 from https://www.mathworks.com/help/releases/R2017a/index.html