Name: 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
Published: 2020-11-13
Keywords: oceans

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File(s)	Type	Description	Action
power_per_cell_CH4-O2-SO4_mat.zip (10.81 MB)	ZIP Archive (ZIP)	Zip file containing gridded data in matrices within three Matlab *.mat files. Name: power_per_cell_CH4.mat Description: Cell-specific power utilization (power per cell) in methanogenic sediment. Units: log10 (watts per cell) Missing data identifier: NaN Name: power_per_cell_O2.mat Description: Cell-specific power utilization (power per cell) in oxic sediment. Units: log10 (watts per cell) Missing data identifier: NaN Name: power_per_cell_SO4.mat Description: Cell-specific power utilization (power per cell) in sulfate-reducing sediment. Units: log10 (watts per cell) Missing data identifier: NaN	Download

Files

Filename: power_per_cell_CH4-O2-SO4_mat.zip (10.81 MB)
Type: ZIP Archive (ZIP)
Description: Zip file containing gridded data in matrices within three Matlab *.mat files. Name: power_per_cell_CH4.mat Description: Cell-specific power utilization (power per cell) in methanogenic sediment. Units: log10 (watts per cell) Missing data identifier: NaN Name: power_per_cell_O2.mat Description: Cell-specific power utilization (power per cell) in oxic sediment. Units: log10 (watts per cell) Missing data identifier: NaN Name: power_per_cell_SO4.mat Description: Cell-specific power utilization (power per cell) in sulfate-reducing sediment. Units: log10 (watts per cell) Missing data identifier: NaN

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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.

IsReferencedBy

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

IsReferencedBy

Dataset: POC0
Relationship Description: Other data from the same project gridded at the same resolution.

Bradley, J., LaRowe, D. (2020) POC concentration at the sediment water interface quantified from bio-energetic modeling 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/828893

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: P cm3 z10 zholo and zpleisto
Relationship Description: Other data from the same project gridded at the same resolution.

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

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

Download All Add to Cart

File(s)	Type	Description	Action
power_per_cell_CH4-O2-SO4_mat.zip (10.81 MB)	ZIP Archive (ZIP)	Zip file containing gridded data in matrices within three Matlab *.mat files. Name: power_per_cell_CH4.mat Description: Cell-specific power utilization (power per cell) in methanogenic sediment. Units: log10 (watts per cell) Missing data identifier: NaN Name: power_per_cell_O2.mat Description: Cell-specific power utilization (power per cell) in oxic sediment. Units: log10 (watts per cell) Missing data identifier: NaN Name: power_per_cell_SO4.mat Description: Cell-specific power utilization (power per cell) in sulfate-reducing sediment. Units: log10 (watts per cell) Missing data identifier: NaN	Download

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Download

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

IsReferencedBy

Dataset: Power per cell z10 zholo and zpleisto
Relationship Description: Other data from the same project gridded at the same resolution.

IsReferencedBy

Dataset: POC0
Relationship Description: Other data from the same project gridded at the same resolution.

References

Dataset: EA maps z10 zholo and zpleisto
Relationship Description: Other data from the same project gridded at the same resolution.

References

Dataset: P cm3 z10 zholo and zpleisto
Relationship Description: Other data from the same project gridded at the same resolution.

Results

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

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

Dataset: 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

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

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Dataset: 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

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

XXX

XX

X

Files

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Dataset: 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

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

Metadata

XXX

XX

X

Files

Related Datasets

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Dataset: 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

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

Metadata

XXX

XX

X

Files

Related Datasets

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