Published February 10, 2025
| Version v1
Dataset
Open
Global high-resolution ultrafine particle number concentrations through data fusion with machine learning
Authors/Creators
- 1. The Cyprus Institute
-
2.
Max Planck Institute for Chemistry
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3.
Georgia Institute of Technology
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4.
Cyprus Institute
Description
This dataset provides the first global, high-resolution (1 km²) estimates of particle number concentrations (PNC) and ultrafine particles (UFPs; <100 nm) for 2010–2019, derived through a machine learning framework integrating meteorological features, urban indices, and ground monitoring. It captures fine-scale spatial heterogeneity (e.g., urban hotspots) spanning 2010-2019. The NetCDF files include annual mean PNC, 95% coverage intervals, and UFPs under a CC-BY 4.0 license.
Files
Files
(13.0 GB)
| Name | Size | Download all |
|---|---|---|
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md5:af5ce5ac8c5ca606973729f9202bbe6c
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1.3 GB | Download |
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md5:28b0097bdb059545eb5d9ebe97be6734
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1.3 GB | Download |
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md5:0ee04ee54c5888ade378ea207675d8a5
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1.3 GB | Download |
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md5:db3a0ca458bd2fd8226c04613cb08f0b
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1.3 GB | Download |
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md5:90e35a1d148e39c5a5cfdfef206ccbe5
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1.3 GB | Download |
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md5:3ee1b8821f81885c1c57d7cab3f0ddd6
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1.3 GB | Download |
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md5:ef80ef4ce736713e27361dd5cc6b8dda
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1.3 GB | Download |
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md5:56325a7b24b49d1e88f993dbd71d94b5
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1.3 GB | Download |
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md5:99994b49c0ee0e2ef077baca8507b456
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1.3 GB | Download |
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md5:e1de658aa828d83535401442152cc755
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1.3 GB | Download |
Additional details
Funding
- European Commission
- PREVENT - IMPROVED PREDICTABILITY OF EXTREMES OVER THE MEDITERRANEAN FROM SEASONAL TO DECADAL TIMESCALES 101081276
- European Commission
- EMME-CARE - Eastern Mediterranean and Middle East – Climate and Atmosphere Research Centre 856612
- European Commission
- EUROCC - National Competence Centres in the framework of EuroHPC 951732
Software
- Repository URL
- https://github.com/pantelisgeor/Ultrafine-Particles
- Programming language
- Python
- Development Status
- Active