Editorial
Accepted on 22 Apr 2025
Editorial: Air Quality and Biosphere-Atmosphere Interactions
in Data-driven Climate Sciences
Frontiers in Big Data
doi 10.3389/fdata.2025.1611364
- 922 views
Type at least 3 characters
39 articles
Original Research
Published on 14 Mar 2025
Causal effect of PM2.5 on the urban heat island
in Data-driven Climate Sciences
Frontiers in Big Data
doi 10.3389/fdata.2025.1546223
- 500 views
Methods
Published on 14 Feb 2025
Deep learning for accurate classification of conifer pollen grains: enhancing species identification in palynology
in Data-driven Climate Sciences
Frontiers in Big Data
doi 10.3389/fdata.2025.1507036
- 887 views
Original Research
Published on 08 Jul 2024
Real driving cycles and emissions for urban freight transport
in Data-driven Climate Sciences
Frontiers in Big Data
doi 10.3389/fdata.2024.1375455
- 1,641 views
- 1 citation
Original Research
Published on 30 May 2024
Particulate matter forecast and prediction in Curitiba using machine learning
in Data-driven Climate Sciences
Frontiers in Big Data
doi 10.3389/fdata.2024.1412837
- 1,876 views
- 2 citations
Original Research
Published on 15 May 2024
Tradescantia response to air and soil pollution, stamen hair cells dataset and ANN color classification
in Data-driven Climate Sciences
Frontiers in Big Data
doi 10.3389/fdata.2024.1384240
- 2,480 views
- 1 citation
Original Research
Published on 17 Nov 2023
Deep learning estimation of northern hemisphere soil freeze-thaw dynamics using satellite multi-frequency microwave brightness temperature observations
in Data-driven Climate Sciences
Frontiers in Big Data
doi 10.3389/fdata.2023.1243559
- 2,256 views
- 3 citations
Original Research
Published on 17 Jul 2023
Assessment of geothermal resource potential in Changbaishan utilizing high-precision gravity-based man-machine interactive inversion technology
in Data-driven Climate Sciences
Frontiers in Big Data
doi 10.3389/fdata.2023.1139918
- 1,879 views
Original Research
Published on 24 Feb 2023
Machine learning-based ozone and PM2.5 forecasting: Application to multiple AQS sites in the Pacific Northwest
in Data-driven Climate Sciences
Frontiers in Big Data
doi 10.3389/fdata.2023.1124148
- 3,094 views
- 5 citations
Original Research
Published on 09 Jan 2023
Changing features of the Northern Hemisphere 500-hPa circumpolar vortex
in Data-driven Climate Sciences
Frontiers in Big Data
doi 10.3389/fdata.2022.1009158
- 2,657 views
- 2 citations
Original Research
Published on 09 Jan 2023
Flood risk assessment for residences at the neighborhood scale by owner/occupant type and first-floor height
in Data-driven Climate Sciences
Frontiers in Big Data
doi 10.3389/fdata.2022.997447
- 5,278 views
- 16 citations
Original Research
Published on 12 Dec 2022
A data-driven spatial approach to characterize the flood hazard
in Data-driven Climate Sciences
Frontiers in Big Data
doi 10.3389/fdata.2022.1022900
- 3,144 views
- 8 citations
Brief Research Report
Published on 09 Sep 2022
Observation-based assessment of secondary water effects on seasonal vegetation decay across Africa
in Data-driven Climate Sciences
Frontiers in Big Data
doi 10.3389/fdata.2022.967477
- 2,173 views
- 1 citation
Original Research
Published on 20 May 2022
Application of a Machine Learning Algorithm in Generating an Evapotranspiration Data Product From Coupled Thermal Infrared and Microwave Satellite Observations
in Data-driven Climate Sciences
Frontiers in Big Data
doi 10.3389/fdata.2022.768676
- 3,000 views
- 1 citation
Editorial
Published on 05 May 2022
Editorial: Statistical Learning for Predicting Air Quality
in Data-driven Climate Sciences
Frontiers in Big Data
doi 10.3389/fdata.2022.898643
- 2,062 views
- 1 citation
Original Research
Published on 04 Apr 2022
Deep Learning Approach for Assessing Air Quality During COVID-19 Lockdown in Quito
in Data-driven Climate Sciences
Frontiers in Big Data
doi 10.3389/fdata.2022.842455
- 7,051 views
- 28 citations