http://hdl.handle.net/10453/35348 2026-10-15T02:46:15Z http://hdl.handle.net/10453/197049 Title: A dataset of radiocarbon dates from Holarctic mammal collagen purified with high-quality chemistry. Authors: Herrando-Pérez, S; Mitchell, KJ; Southon, JR; Turney, CSM; Stafford, TW Abstract: Radiocarbon dates from megafaunal remains provide insights into climatic and anthropogenic factors shaping past ecosystems. Chronologies have advanced through rigorous chemical purification (pretreatment) of fossil vertebrate collagen for accelerator mass spectrometry (AMS) radiocarbon dating. We present MEGA14C, a comprehensive dataset of late Quaternary AMS radiocarbon dates for Holarctic large-bodied mammals, based on collagen purified by ultrafiltration (92% of records), XAD-2 purification (7%) and hydroxyproline isolation (1%). MEGA14C includes 11,715 dates spanning 8 orders, 23 families, 78 genera, 133 species and 18 subspecies, 27% from extinct taxa, and dominated by Equus, Bos, Mammuthus, Rangifer, Bison, Ursus, Cervus, Canis, Coelodonta and Sus. Where available, geolocation, genetic and isotopic data are provided. Pretreatment is critical for accurate and reproducible radiocarbon measurements, yet 44% of published dates lack this information. We addressed this gap through over 10,000 personal communications (out of >100,000 emails) with researchers and AMS laboratories among the parties involved in fossil dating. This unique dataset supports (pre)historical research and provides a foundation for future expansion and/or integration into a global radiocarbon repository. 2026-02-17T00:00:00Z http://hdl.handle.net/10453/196250 Title: Beyond Growth: How can we end poverty and build a sustainable future? Authors: Chakori, S 2026-08-06T00:00:00Z http://hdl.handle.net/10453/196165 Title: Achieving the Paris Climate Agreement: Setting Meaningful Goals for the Finance Industry Authors: Teske, S Abstract: A brief introduction to the status of the international climate negotiations of the United Nations Framework Convention on Climate Change (UNFCCC) and its latest scientific publications is given, together with the status of global greenhouse gas emissions. An overview of the historical energy-related CO[[inf]]2[[/inf]] emissions since 1750 and how they relate to economic development, measured in gross domestic product (GDP), is provided, together with the cumulative energy-related CO[[inf]]2[[/inf]] emissions by region. The future energy demand is projected should historical trends in energy efficiency and carbon intensity continue until 2050. The One Earth Climate Model (OECM), its methodology, model architecture, and scientific background are described. An overview of the aligned decarbonization pathways for the industry, service, building, and transport sectors required to achieve the 1.5 °C target is provided. The assumptions made about future market developments that are used for the scenario calculations are documented, and the assumed development of the energy intensities for product manufacture is presented. An overview of the calculated energy consumption and the resulting CO[[inf]]2[[/inf]] intensities is given, with the assumed generation mix. The role of power and gas utilities under the OECM 1.5 °C scenario is discussed, together with the projected trajectories for renewable power- and heat-generating plants and those for hydrogen and synthetic fuel. Future structures of the global primary and secondary energy industries are suggested. The article closes with an overview of a possible allocation of the remaining carbon budget for G20 member countries, as a science-based suggestion for the UNFCCC Global Stocktake process. 2025-01-01T00:00:00Z http://hdl.handle.net/10453/196140 Title: The Inverse Carson's Equations Problem: Definition, Implementation and Numerical Experiments Authors: Tam, CH; Geth, F; Mithulananthan, N Abstract: In recent years, with the increase in renewable energy and storage penetration, power flow studies in low-voltage networks have become of interest in both industry and academia. Many studies use impedance represented by sequence components due to the lack of datasets with fully parameterized impedance matrices. This assumes that the network impedance is balanced, which is typically not the case in the low-voltage network and therefore risks the accuracy of the study. This paper proposes a methodology for the recovery of more detailed impedance data from sequence components as an inverse problem, i.e. the inverse Carson’s equations problem, for both overhead lines and cables. We consider discrete properties like material and configuration of conductors common in the distribution network and investigate what data can be reliably recovered from only sequence components using nonlinear optimisation models. Presented results include uniqueness of recovered variables and the likelihood of mismatch. 2025-08-01T00:00:00Z