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Stata Syntax - 9.1 KB - MD5: 24a812508ab56f3b89bb34411b3d0581
Stata 14 Binary - 154.6 KB - MD5: 749b9989fe142796d4dbc21cc6aba4d2
Plain Text - 9.3 KB - MD5: 6df5846a2fa0d5413991963618925663
Feb 26, 2026 - University of South-Eastern Norway
Barahmand, Zahir, 2026, "Supplementary data for: A governance-aware systems thinking architecture for sustainability at scale", https://doi.org/10.18710/NZHGW3, DataverseNO, V1
This dataset supports the paper “A Governance-Aware Systems Thinking Architecture for Sustainability at Scale.” The study addresses a key challenge in large-scale sustainability research: how to ensure transparency, consistency, and auditability when integrating heterogeneous evidence and systems thinking approaches. The paper introduces STAI³RS, a...
Plain Text - 13.4 KB - MD5: 34c4d377fc705ab6787ab6763b00f972
Comma Separated Values - 3.6 KB - MD5: 5df48d8b482dfa8b35ee32a43542abbd
A structured reference list of the systems thinking traditions reviewed in the study. The file provides the bibliographic foundation supporting the governance diagnostic analysis and enables traceability to the original methodological sources.
Adobe PDF - 169.3 KB - MD5: b82e69e0ea46a3ff628068331f324ae6
Supplementary Table S2 documenting the operational instantiation of the SEEDS (Systems Evidence Extraction and Decision Support) model under STAI3RS governance principles. The table describes how governance procedures — including boundary specification, assumption registers, uncertainty handling, harmonization, audit trails, and reproducibility mec...
Comma Separated Values - 9.7 KB - MD5: 6a0bc1d34044b36a8d1e059668669ecb
A governance diagnostic matrix synthesizing insights from classical systems thinking traditions. The file documents each tradition’s purpose, known limitations in large-scale sustainability synthesis, and corresponding governance mitigation requirements. This matrix formed the analytical basis for deriving the STAI3RS governance principles.
Feb 26, 2026 - University of South-Eastern Norway
Barahmand, Zahir, 2026, "Label system, dictionaries, and audit evidence for harmonised over 133,000 feedstock items across major conversion technologies", https://doi.org/10.18710/WEZMJE, DataverseNO, V1
This repository provides a large-scale, reproducibly labeled dataset of feedstock terms reported in the biomass and waste conversion literature. The dataset contains 133,000+ labeled feedstock items extracted from 121,000+ peer-reviewed studies. It is derived from upstream, review-based technology corpora hosted in DataverseNO, where feedstock desc...
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