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Data and Matlab scripts used in D. H. Rothman, Slow Closure of Earth's Carbon Cycle, PNAS

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https://figshare.com/articles/dataset/Data_and_Matlab_scripts_used_in_D_H_Rothman_Slow_Closure_of_Earth_s_Carbon_Cycle_PNAS/22806875
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This code and associated data files replicate all figures and results contained in D. H. Rothman, Slow Closure of Earth's Carbon Cycle, PNAS, January 2024. ---------------------------------- Data Tables ---------------------------------- All data contained in the data tables has either been previously published explicitly or displayed in previously publications. Detailed references are given in the manuscript. A list of tables follows. degtable.csv Contains the degradation database of 23 sediment cores originally studied by Rothman and Forney (2007). See the header within this file for more information. T*.csv Within these tables, the units of measurement are as follows: age [sediment age, Myr] depth [sediment depth, m] n [cells per cubic cm] org [wt % total organic carbon] There is some overlap in the content of these tables. A summary follows: Tn.csv contains cell counts as a function of site, age, and depth in productive regions. Torg.csv contains Corg concentrations as a function of site, age, and depth in productive regions. Tspgeqpac0.csv contains cell counts as a function of site, age, and depth in the South Pacific Gyre and Pacific Equatorial Transect. Tspgeqpac.csv contains cell counts as a function of site, age, and depth in the South Pacific Gyre and Pacific Equatorial Transect only for ages greater than t*=1.5 Myr. Tspgeqpacorg0.csv contains Corg concentrations as a function of site, age, and depth in the South Pacific Gyre and Pacific Equatorial Transect. Tspgorg.csv contains Corg concentrations as a function of site, age, and depth in the South Pacific Gyre ---------------------------------- Recreate Figures ---------------------------------- recreate_figures.m makes all figures in the manuscript. See comments within this file for the specific scripts corresponding to each figure. All scripts have been successfully run using Matlab R2022a under the Linux-based OS Ubuntu 18.04.1.
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2024-01-11
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