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Air quality data of station Congonhas, São Paulo from 2014-2020
We compiled criteria pollutants from four air quality monitoring stations in Bogotá, eight in Santiago, and five in São Paulo to characterize the impact of emission changes on... -
Air quality data of station Parque Dom Pedro, São Paulo from 2014-2020
We compiled criteria pollutants from four air quality monitoring stations in Bogotá, eight in Santiago, and five in São Paulo to characterize the impact of emission changes on... -
Air quality data of station Ibirapuera, São Paulo from 2014-2020
We compiled criteria pollutants from four air quality monitoring stations in Bogotá, eight in Santiago, and five in São Paulo to characterize the impact of emission changes on... -
Air quality data of station La Florida, Santiago from 2014-2020
We compiled criteria pollutants from four air quality monitoring stations in Bogotá, eight in Santiago, and five in São Paulo to characterize the impact of emission changes on... -
Air quality data of station Ponte dos Remedios, São Paulo from 2014-2020
We compiled criteria pollutants from four air quality monitoring stations in Bogotá, eight in Santiago, and five in São Paulo to characterize the impact of emission changes on... -
Air quality data of station Parque O'Higgins, Santiago from 2014-2020
We compiled criteria pollutants from four air quality monitoring stations in Bogotá, eight in Santiago, and five in São Paulo to characterize the impact of emission changes on... -
Air quality data of station Pinheiros, São Paulo from 2014-2020
We compiled criteria pollutants from four air quality monitoring stations in Bogotá, eight in Santiago, and five in São Paulo to characterize the impact of emission changes on... -
Air quality data of station Las Condes, Santiago from 2014-2020
We compiled criteria pollutants from four air quality monitoring stations in Bogotá, eight in Santiago, and five in São Paulo to characterize the impact of emission changes on... -
Air quality data of station Independencia, Santiago from 2014-2020
We compiled criteria pollutants from four air quality monitoring stations in Bogotá, eight in Santiago, and five in São Paulo to characterize the impact of emission changes on... -
Air quality data of station Puente alto, Santiago from 2014-2020
We compiled criteria pollutants from four air quality monitoring stations in Bogotá, eight in Santiago, and five in São Paulo to characterize the impact of emission changes on... -
Air quality data of station Pudahuel, Santiago from 2014-2020
We compiled criteria pollutants from four air quality monitoring stations in Bogotá, eight in Santiago, and five in São Paulo to characterize the impact of emission changes on... -
Air quality data of Bogotá, Santiago, and São Paulo
We compiled criteria pollutants from four air quality monitoring stations in Bogotá, eight in Santiago, and five in São Paulo to characterize the impact of emission changes on... -
Benchmark dataset for 24-hour stratospheric ozone tendencies (SWIFT-AI-DS)
SWIFT-AI-DS is a benchmark dataset that consists of samples that have been derived from two simulation runs (each 2.5 years long) of the chemistry and transport model ATLAS... -
Dataset: "Decoding the Relationship Between Cloud Electrification, Downdrafts...
The dataset used to generate plots for the manuscript "Decoding the Relationship Between Cloud Electrification, Downdrafts, and Surface Ozone in the Amazon Basin." It contains... -
Auswirkungen von Hitzeperioden auf die Luftqualität der Städte
Effects of heatwaves on urban air quality: Heat waves often go hand in hand with poor air quality. High temperatures and strong solar radiation increase the formation of... -
Results from Stadtler et al 2018 Atmos. Chem. Phys.: Ozone impacts of gas-aer...
ECHAM-HAMMOZ & EMEP MSC-W MODEL RESULTS The files in this directory give ECHAM-HAMMOZ and EMEP MSC-W model results, as used in the paper of Stadtler et al (2018). See the... -
Exploring decomposition of temporal patterns to facilitate learning of neural...
This record contains data for the manuskript "Exploring decomposition of temporal patterns to facilitate learning of neural networks for ground-level daily maximum 8-hour... -
O3ResNet: A deep learning based forecast system to predict local ground-level...
This record contains data for the manuscript "O3ResNet: A deep learning based forecast system to predict local ground-level daily maximum 8-hour average ozone in rural and... -
O3ResNet: A deep learning based forecast system to predict local ground-level...
This record contains data for the manuscript "O3ResNet: A deep learning based forecast system to predict local ground-level daily maximum 8-hour average ozone" by L. H. Leufen,... -
Exploring decomposition of temporal patterns to facilitate learning of neural...
This record contains data for the manuskript "Exploring decomposition of temporal patterns to facilitate learning of neural networks for ground-level daily maximum 8-hour...
