Thesaurusterm: Milieubiotechnologie voor de mariene omgeving
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- PhD - Automated classification of plankton images through the integration of genomic, morphological and environmental data, meer
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| Data [show] |
- Mortelmans, J; Ollevier, A; Dillen, N; Flanders Marine Institute: Belgium; (2023): LifeWatch Cruise 21-870: Trip 4079. Marine Data Archive., meer
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| A1 publicaties (4) [show] |
 Lagaisse, R.; Dillen, N.; Bakeev, D.; Decrop, W.; Focke, P.; Mortelmans, J.; Muyle, J.; Deneudt, K. (2025). Advancing long-term phytoplankton biodiversity assessment in the North Sea using an imaging approach. Scientific Data 12: 1989. https://dx.doi.org/10.1038/s41597-025-06278-w, meer- Amadei Martínez, L.; Mortelmans, J.; Dillen, N.; Debusschere, E.; Deneudt, K. (2022). Corrigendum to "LifeWatch observatory data: phytoplankton observations in the Belgian Part of the North Sea". Biodiversity Data Journal 10: e81208, meer
- Hablützel, P.I.; Rombouts, I.; Dillen, N.; Lagaisse, R.; Mortelmans, J.; Ollevier, A.; Perneel, M.; Deneudt, K. (2021). Exploring new technologies for plankton observations and monitoring of ocean health, in: Kappel, E.S. et al. Frontiers in ocean observing: Documenting ecosystems, understanding environmental changes, forecasting hazards. Oceanography, Suppl. 34(4): pp. 20-25. https://dx.doi.org/10.5670/oceanog.2021.supplement.02-09, meer
- Amadei Martínez, L.; Mortelmans, J.; Dillen, N.; Debusschere, E.; Deneudt, K. (2020). LifeWatch observatory data: phytoplankton observations in the Belgian Part of the North Sea. Biodiversity Data Journal 8: e57236. https://dx.doi.org/10.3897/bdj.8.e57236, meer
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| Abstracts (2) [show] |
- Lagaisse, R.; Dillen, N.; Deneudt, K.; Hablützel, P. (2022). Working in a new era of automated classification in micro- (phyto)plankton monitoring: a FlowCAM case study, in: Mees, J. et al. Book of abstracts – VLIZ Marine Science Day, Online event 2 March 2022. VLIZ Special Publication, 88: pp. 58, meer
- Rondelez, J.; Dillen, N.; Tyberghein, L. (2019). The tale of the river Scheldt as told by historic maps – Building an RShiny ‘side-by-side viewer’ to visualize 16th-20th century maps, in: Mees, J. et al. (Ed.) Book of abstracts – VLIZ Marine Science Day. Bredene, Belgium, 13 March 2019. VLIZ Special Publication, 83: pp. 136, meer
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