Data · dataset · 2024
Research data supporting "A novel spatiotemporal prediction approach to fill air pollution data gaps using sensor, machine learning and citizen science techniques"
Listed in UBIRA eData
Datasets of measurements and additional data used in the machine learning analysis for PM2.5 data prediction in Selly Oak, Birmingham
Links
Where it is published
- UBIRA eData record edata.bham.ac.uk/1144/1/UBIRA.zip ↗
landing page · from edata bham ac uk
- DOI doi.org/10.25500/edata.bham.00001144 ↗
DOI / persistent id · from edata bham ac uk
Catalogue records · 1
- OAI-PMH record edata.bham.ac.uk/cgi/oai2?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3… ↗
metadata API · from edata bham ac uk
Topics
- From keywords
- Earth & Environmental Science
- Inferred from text
- Geoinformatics 74%
Provenance · 1 source records, 6 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| UBIRA eData | oai:edata.bham.ac.uk:1144 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3704 | enrichment · edata bham ac uk | taxonomy-embedding@1.0.0 | title+keywords+description (74%) |
| concepts[field].local:field:earth-environmental | mapping · edata bham ac uk | connector:edata_bham_ac_uk@1.0.0 | |
| description | source · edata bham ac uk | connector:edata_bham_ac_uk@1.0.0 | /metadata/dc/description |
| license_text | source · edata bham ac uk | connector:edata_bham_ac_uk@1.0.0 | |
| publication_date | source · edata bham ac uk | connector:edata_bham_ac_uk@1.0.0 | |
| title | source · edata bham ac uk | connector:edata_bham_ac_uk@1.0.0 | /metadata/dc/title |