CarbonDebt analysis-ready input database for soil-carbon-aware robust network design of agricultural-residue bioenergy across the Brazilian Legal Amazon

Analysis-ready input database supporting the CarbonDebt study “Soil-carbon-aware robust network design for agricultural-residue bioenergy across the Brazilian Legal Amazon”. This deposit contains the frozen analytical inputs used in the study, including the detailed Mato Grosso source universe, the regional Tier 1 crop-specific source universe, point-level soil and climate inputs, crop-calendar registries, model constants, candidate-hub registries, petroleum/diesel demand inputs, and audited source-to-hub and hub-to-demand network matrices. The detailed Mato Grosso branch contains 3,045 temporally eligible second-crop maize residue source nodes and 20 candidate hubs. The regional Tier 1 branch contains 23,970 crop-specific source nodes representing soybean straw, second-crop maize stover, and sugarcane straw, together with 60 regional candidate hubs. Large tables are distributed as UTF-8 CSV files compressed with gzip. Metadata include a file manifest, data dictionary, external-source registry, package inventory, checksums, and machine-readable Frictionless Data metadata. This record intentionally contains analysis-ready input data only. Study outputs—including RothC soil-carbon-debt results, carbon-payback results, climate-balance outputs, MILP solutions, selected-hub outputs, sensitivity analyses, figures, manuscript files, and analysis scripts—are not included in this version. Raw third-party national datasets are not redistributed. Instead, the deposit provides the analysis-ready point extracts, harmonized analytical inputs, and frozen network matrices actually used in the study, together with documentation of the authoritative external sources, versions, provenance, and applicable reuse conditions. Licensing. Original materials created for this repository, including documentation, metadata, data dictionaries, manifests, model constants, harmonized analytical tables, and author-generated analytical structures, are licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0) unless otherwise stated. Components derived or extracted from third-party sources remain subject to the copyright, licensing, attribution, and reuse conditions of their respective source providers and are not relicensed by this deposit. Users should cite both this Zenodo dataset and, where applicable, the relevant upstream data providers listed in metadata/external_source_registry.csv. DOI: 10.5281/zenodo.23042693