Supplementary code and data for "Does the biosphere lift nutrients against gravity, or redirect solar energy? A thermodynamic reframing of planetary biogeowork

This dataset accompanies the peer-reviewed Perspective article submitted to Earth
System Dynamics (Copernicus Publications), which proposes a three-component
decomposition of the biosphere's thermodynamic role in the Earth system: (i) active
biogeowork W_A, the mechanical work performed using metabolic free energy derived
from gross primary production; (ii) mediated biogeowork DeltaPhi_M, the solar-driven
flux redirected through biological structures, dominated by the biogenic enhancement
of latent heat flux DeltaLE_bio relative to an abiotic counterfactual land surface;
and (iii) the resulting entropy-export enhancement DeltaSdot_bio. A dimensionless
leverage ratio Lambda_bio = DeltaPhi_M / W_A quantifies the amplification by which
biological infrastructure redirects solar energy per unit metabolic investment.

The dataset contains:

1. PBGT_Supplementary.ipynb — a Jupyter notebook (Python 3.11) that reproduces every
numerical claim in Section 3 of the paper, including the physical constants,
reference fluxes from published datasets (Trenberth et al., 2009; Beer et al., 2010;
Jasechko et al., 2013), the three biogeowork components, the leverage ratio,
diagnostic quantities (gh/L_v and the gravitational potential energy of transpired
water), and a Monte Carlo sensitivity analysis (N = 100,000) propagating the three
dominant uncertainty sources identified in Section 3.3 (mechanical-conversion
efficiency eta_mech, biogenic fraction of latent heat flux f_bio, and effective
radiating temperature T_rad).

2. figure01.pdf and figure01.png — Figure 1 of the manuscript (energy-flux hierarchy
and biospheric leverage), generated by the notebook. The figure is styled for
Earth System Dynamics (Copernicus) specifications: serif fonts (Times/STIX),
Wong colorblind-safe palette with hatch patterns for grayscale accessibility,
and 300 dpi output.

3. table1_global_estimates.csv — a machine-readable version of Table 1 of the
manuscript (global estimates of biosphere thermodynamic components with symbols,
central values, units, and source references).

The notebook is self-contained: no external data files are required, and all source
values are published literature constants cited inline. Execution takes under one
minute on a standard laptop. Compatible with Google Colab and local Python 3.11+
installations. Dependencies: numpy, pandas, matplotlib (all included in standard
scientific Python distributions).

Reuse is encouraged under the CC BY 4.0 license. If this material contributes to
your work, please cite the accompanying paper and this dataset via its DOI.