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{"references": ["Daniel Huppmann, Elmar Kriegler, Volker Krey, Keywan Riahi, Joeri Rogelj, Katherine Calvin, Florian Humpenoeder, Alexander Popp, Steven K. Rose, John Weyant, Nico Bauer, Christoph Bertram, Valentina Bosetti, Jonathan Doelman, Laurent Drouet, Johannes Emmerling, Stefan Frank, Shinichiro Fujimori, David Gernaat, Arnulf Grubler, Celine Guivarch, Martin Haigh, Christian Holz, Gokul Iyer, Etsushi Kato, Kimon Keramidas, Alban Kitous, Florian Leblanc, Jing-Yu Liu, Konstantin L\u00f6ffler, Gunnar Luderer, Adriana Marcucci, David McCollum, Silvana Mima, Ronald D. Sands, Fuminori Sano, Jessica Strefler, Junichi Tsutsui, Detlef Van Vuuren, Zoi Vrontisi, Marshall Wise, and Runsen Zhang. IAMC 1.5\u00b0C Scenario Explorer and Data hosted by IIASA. Integrated Assessment Modeling Consortium & International Institute for Applied Systems Analysis, 2019. doi: 10.5281/zenodo.3363345 | url: data.ene.iiasa.ac.at/iamc-1.5c-explorer", "Joeri Rogelj, Drew Shindell, Kejun Jiang, et al. Mitigation pathways compatible with 1.5\u00b0C in the context of sustainable development, in \"Special Report on Global Warming of 1.5\u00b0C (SR15)\". Intergovernmental Panel on Climate Change, Geneva, 2018. url: http://www.ipcc.ch/report/sr15/"]}
This dataset evaluates the raw data of IAMs models in SSP2 Scenarios considering 1.5C pathways. Authors elaborated calculations about possible implications for the WEF nexus in the scenarios depicted such as ratios between variables, trends and tendencies and min and maximum scenarios.
SSP2, BECCS, IAM, Biomass
SSP2, BECCS, IAM, Biomass
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 3 |

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