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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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CEDS v_2019_12_23 Emission Data

Authors: Hoesly, Rachel M.; O'Rourke, Patrick R; Smith, Steven J.; Feng, Leyang; Klimont, Zbigniew; Janssens-Maenhout, Greet; Pitkanen, Tyler; +15 Authors

CEDS v_2019_12_23 Emission Data

Abstract

{"references": ["Hoesly, R. M., Smith, S. J., Feng, L., Klimont, Z., Janssens-Maenhout, G., Pitkanen, T., Seibert, J. J., Vu, L., Andres, R. J., Bolt, R. M., Bond, T. C., Dawidowski, L., Kholod, N., Kurokawa, J.-I., Li, M., Liu, L., Lu, Z., Moura, M. C. P., O'Rourke, P. R., and Zhang, Q. (2018) Historical (1750\u20132014) anthropogenic emissions of reactive gases and aerosols from the Community Emissions Data System (CEDS), Geosci. Model Dev., 11, 369-408. doi: 10.5194/gmd-11-369-2018.", "Hoesly, R. P. O'Rourke, C. Braun, L. Feng, S. J. Smith, T. Pitkanen, J. J. Seibert, L. Vu, M. Presley, R. Bolt, B. Goldstein. (2019, December 23). JGCRI/CEDS: v-12-23-2019 (Version Dec-23-2019). Zenodo. http://doi.org/10.5281/zenodo.3592073"]}

Emissions data files by emission species (SO2, NOx, BC, OC, NH3, NMVOC, CO, CO2, CH4), country, and sector produced by the Dec-23-2019 release of CEDS (http://doi.org/10.5281/zenodo.3592073). See the CEDS GitHub site for details. These represent incremental updates to the data described in Hoesly et al. (2018).

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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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