Data · dataset · 2024
CyFi predictions in Funil Reservoir in 2023
Listed in Teesside University Research Data Repository
This dataset was derived from readings obtained using the open-source software CyFi, which utilizes satellite imagery and machine learning to estimate cyanobacterial cell density in the Funil Reservoir, located in the state of Rio de Janeiro, Brazil.
Description
The research hypothesis is to determine whether cyanobacterial cell counts estimated by the software align with results from previous studies conducted at this site, as well as to compare the outcomes with satellite imagery of the same region during the same period.
Notably, statistical analyses (GAM) of this dataset reveal that cyanobacterial cell concentrations are higher in the southwestern areas of the reservoir, corresponding to the inflow region. Additionally, cell concentration varies across different times of the year, reflecting temporal fluctuations in cyanobacterial density.
Links
Where it is published
- DOI doi.org/10.17632/sp367z97n2.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Chemistry · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Satellite remote sensing · Social Science
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/sp367z97n2.1 | 7 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:remote-sensing | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Satellite Remote Sensing'] |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |