7 Works

The Digital Revolution and Sustainable Development: Opportunities and Challenges. Report prepared by the World in 2050 initiative

N. Nakicenovic, D. Messner, C. Zimm, G. Clarke, J. Rockström, A.P.D. Aguiar, B. Boza-Kiss, L. Campagnolo, I. Chabay, D. Collste, L. Comolli, L. Gomez-Echeverri, A. Goujon, A. Grubler, R. Jung, M. Kamei, G. Kamiya, E. Kriegler, M. Kuhn, J. Leininger, C. Martin-Shields, B. Mayor Rodriguez, J. Miller, A. Miola, K. Riahi … & E. Zusman
The Digital Revolution, including technologies such as virtual and augmented reality, additive manufacturing or 3D-printing, (general purpose) artificial intelligence, or the Internet of Things, has entered the public discourse in many countries. Looking back, it is almost impossible to believe that digitalization is barely featured in the 2030 Agenda or the Paris Agreement. It is increasingly clear that digital changes, we refer to them as the Digital Revolution, are becoming a key driving force in...

Dataset-Empirically-based spatial projections of U.S. population age structure consistent with the shared socioeconomic pathways

E. Striessnig, J. Gao, B. O'Neill & L. Jiang

Exposure coefficients in the EUCalculator

F. Wagner, J. Borken-Kleefeld, G. Kiesewetter, Z. Klimont, W. Schoepp & M. Amann

A global reference dataset for remote sensing of forest biomass. The Forest Observation System approach

D. Schepaschenko, J. Chave, O.L. Phillips, S.L. Lewis, S.J. Davies, M. Réjou-Méchain, P. Sist, K. Scipal, C. Perger, B. Herault, N. Labrière, F. Hofhansl, K. Affum-Baffoe, A. Aleinikov, A. Alonso, C. Amani, A. Araujo-Murakami, J. Armston, L. Arroyo, N. Ascarrunz, C. Azevedo, T. Baker, R. Bałazy, O. Banki, C. Bedeau … & I.C. Zo-Bi

Scenario data for \"A new scenario logic for the Paris Agreement long-term temperature goal“

J. Rogelj, D. Huppman, V. Krey, K. Riahi, L. Clarke, M. Gidden, Z. Nicholls & M. Meinshausen

Artcic Policies and Strategies-Analysis, Synthesis, and Trends

L. Heininen, K. Everett, B. Padrtova & A. Reissell

Revisiting enteric methane emissions from domestic ruminants and their δ13CCH4 source signature reflecting diet and environmental shifts

J. Chang, S. Peng, P. Ciais, M. Saunois, S. Dangal, M. Herrero, P. Havlik, H. Tian & P. Bousquet
The dataset provide data supporting the findings of the above publication (Chang et al., 2019). The dataset contains global, regional and country level data of 1) feed intake (dry matter) by livestock (poultry, pigs and ruminants), 2) C3-C4 diet composition of domestic ruminants, 3) enteric methane emissions from ruminants, and 4) the δ13CCH4 source signature of the methane emissions. Annual data for the period 1961-2012 are provided.

Registration Year

  • 2019
    7

Resource Types

  • Dataset
    5
  • Text
    1