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                <identifier>oai:data.mendeley.com/c2mmn6t82f.1</identifier>
                <datestamp>2026-09-15T09:17:38Z</datestamp>
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    <dc:creator>Prokopiuk, Mario</dc:creator>
    <dc:title>curitiba vehicular emissions raw 2007-2024</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description># Vehicular emission panel for Curitiba, Brazil, 2007–2024

Data underlying the article &quot;Air pollutants fell by two-thirds while carbon did not move: fleet growth and the vehicular source term of an urban atmosphere in Curitiba, Brazil&quot; (Alberini and Prokopiuk).

## Contents

`curitiba_vehicular_emissions_raw_2007_2024.csv` — the assembled series as collected from the primary sources, before any transformation.

`curitiba_vehicular_emissions_panel_2007_2024.csv` — the analysis-ready balanced panel: 540 rows, one per year and per gas × vehicle-type unit (18 years × 30 units), with every variable that enters the models.

## Coverage

Municipality of Curitiba, Paraná, Brazil. Annual observations from 2007 to 2024. Five vehicle types (buses, light commercial vehicles, motorcycles, passenger cars, trucks) crossed with six gases (CH₄, CO, CO₂, NMVOC, N₂O, NOx). The panel is complete: no sampling, no imputation, no missing cells.

## Variables in the analysis panel

`Ano` year. `tipo` vehicle type. `gas` pollutant. `unidade` the gas × vehicle-type unit, which is the level-2 identifier. `Emissao` annual emissions in tonnes. `log_emissao` its natural logarithm, the response variable. `Frota` registered vehicles of that type. `Frota_total` the inventoried fleet. `fleet_share` the share of that vehicle type in the fleet. `Consumo_Total_MWh` municipal electricity consumption. `PIB_Municipal_Mil` nominal municipal GDP in thousands of BRL. `Deflator` the annual price index used for deflation, 2007 = 100. `PIB_Real_Mil` GDP deflated to constant 2007 BRL. `Populacao_Municipal` municipal population. `pib_pc` and `mwh_pc` the per-capita quantities, with `log_pib_pc` and `log_mwh_pc` their logarithms. `trend` the long-run trend scaled to the unit interval as (year − 2007)/17. `gdp_dt`, `mwh_dt` and `fleet_dt` the detrended components, obtained as ordinary-least-squares residuals on that trend, with fleet scale additionally residualized on the detrended GDP component. `covid` an indicator equal to one in 2020 and 2021. `tipo_f` and `gas_f` the factor versions of the categorical variables, `gas_original` the source label of each pollutant.

## Primary sources

Emissions: SEEG Brasil,. Registered fleet: SENATRAN in 2021. Electricity consumption: IPARDES. Municipal GDP: IBGE. Population: DATASUS and IPARDES.

## Notes on use

Emissions in this inventory are model-based rather than measured: SEEG applies the IPCC bottom-up methodology with emission factors that stay constant within each vehicle cohort. The deflator vector is the one shared across the companion studies of this research programme; its year-on-year variation does not coincide with the December-to-December accumulation of the Central Bank of Brazil SGS series 433, and the two should not be treated as interchangeable. Supplementary material 1 of the article reports the vector in full.
</dc:description>
    <dc:subject>Emissions</dc:subject>
    <dc:subject>Diesel Emissions</dc:subject>
    <dc:subject>Emission Control</dc:subject>
    <dc:contributor>Alberini, Jean Carlos</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/c2mmn6t82f.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/c2mmn6t82f.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
    <dc:rights>http://creativecommons.org/licenses/by/4.0</dc:rights>
    <dc:relation>https://data.mendeley.com/datasets/c2mmn6t82f</dc:relation>
    <dc:date>2026-09-15T09:17:38Z</dc:date>
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