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Dataset . 2021
License: CC BY
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https://doi.org/10.5281/zenodo...
Dataset . 2021
License: CC BY
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Data_WP2_1_Future activity-emission factor matrices for the participating cities

Authors: Dorothea Schmid (10349421);

Data_WP2_1_Future activity-emission factor matrices for the participating cities

Abstract

The dataset includes data on future activity-emission factor matrices for all the ICARUS participating cities and for the classical air pollutants (NH3, NMVOC, NOX, PM10, PM2.5, CO, SO2, BC and OC), GHGs (CO2, CO, N2O, CH4), heavy metals, PAHs and dioxins, relevant to the years 2015, 2020 and 2030. A detailed description of the structure of the DB can be found in deliverable D2.2 freely downloadable from the ICARUS website. Additionally, bottom-up activity data and emission factors are combined to sectoral emission grids (1x1 km) for each city. The sites targeted cover all the ICARUS pilot cities. The data are available in MS-Access format (accdb) to maximise the interoperability for use with a variety of analytical software. The sectoral emission grids are provided in standard GIS vector format (shp).

Related Organizations
Keywords

Pharmacology, Activity-emission factors, Ecology, Chemical Sciences not elsewhere classified, Science Policy, Environmental Sciences not elsewhere classified, Information Systems not elsewhere classified, Biochemistry, Cancer

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citations
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).
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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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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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