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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
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 . 2021
License: CC BY
Data sources: ZENODO
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InMAP Source-Receptor PM2.5 Concentrations from 2014 EPA NEI

Authors: Alice V Hsu;

InMAP Source-Receptor PM2.5 Concentrations from 2014 EPA NEI

Abstract

These are the PM2.5 concentration datasets computed using the InMAP source-receptor (SR) matrices, with the 2014 EPA National Emissions Inventory (NEI) as inputs. There are 120 total files in this zip file: 19 sectors * 5 pollutants (NH4, NO3, primary PM2.5, SO4, SOA) = 95 files, representing the contribution of each pollutant in each of those sectors to the total PM2.5 concentration; these files are directly calculated from the NEI and SR matrices; An additional 19 files representing each sector's total contribution to the PM2.5 concentration, calculated by summing together the contributions from all 5 of the pollutants for each of the 19 sectors, An additional 5 files representing the overall PM2.5 concentration across all sectors, calculated by summing together the contributions from all of the 19 sectors, for each of the 5 pollutants, An additional 1 file representing the overall total PM2.5 concentration across all sectors and pollutants, calculated by summing together the contributions of all 19 sectors and all 5 pollutants. Every file is saved as a .mat file and can be loaded into MATLAB using the load() function. Each .mat file has dimensions of 52411x1, where each value represents a PM2.5 concentration in one of the 52411 InMAP grid cells. You will need to download the InMAP grid shapefile in order to project and map this data.

Related Organizations
Keywords

particulate matter, air pollution, InMAP, PM2.5

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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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