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References from Plankton imager 10 monitoring in the southern North Sea: an open workflow for classification, morphometry and DwC-A publication. Local targets link to admitted publications; unresolved targets remain external evidence.
Instruments for particle size and settling velocity observations in sediment transport
10.1016/s0025-3227(00)00044-x · 2000 · External reference
Steeper size spectra with decreasing phytoplankton biomass indicate strong trophic amplification and future fish declines
10.1038/s41467-023-44406-5 · 2024 · External reference
Storm in a bottle: An experimental investigation of how extreme precipitation impacts phytoplankton communities
10.1101/2025.05.20.655176 · 2025 · External reference
The biogeography of marine plankton traits
10.1111/ele.12063 · 2013 · External reference
Causes and projections of abrupt climate-driven ecosystem shifts in the North Atlantic
10.1111/ele.12214 · 2014 · External reference
Major restructuring of marine plankton assemblages under global warming
10.1111/jbi.13166 · 2018 · External reference
RAPID: Research on automated plankton identification
10.5670/oceanog.2007.63 · 2007 · External reference
Dancing with the tides: Fluctuations of coastal phytoplankton orchestrated by different oscillatory modes of the tidal cycle
10.1371/journal.pone.0049319 · 2012 · External reference
10.1093/oso/9780199233267.001.0001
10.1093/oso/9780199233267.001.0001 · External reference
Mismatch between marine plankton range movements and the velocity of climate change
10.1038/ncomms14434 · 2017 · External reference
Computer vision and deep learning meet plankton: Milestones and future directions
10.1016/j.imavis.2024.104934 · 2024 · External reference
Automated plankton classification with a dynamic optimization and adaptation cycle
10.3389/fmars.2022.868420 · 2022 · External reference
In situ Ichthyoplankton Imaging System (ISIIS): system design and preliminary results
10.4319/lom.2008.6.126 · 2008 · External reference
Automatic image analysis of plankton: future perspectives
10.3354/meps312297 · 2006 · External reference
Ocean-scale monitoring of mesozooplankton on Atlantic meridional transect
10.15436/2381-0750.16.018 · 2016 · External reference
Do experts make mistakes? A comparison of human and machine identification of dinoflagellates
10.3354/meps247017 · 2003 · External reference
A three-axis fast-tow digital Video Plankton Recorder for rapid surveys of plankton taxa and hydrography
10.4319/lom.2005.3.59 · 2005 · External reference
Pre-trained Phytoplankton species classifier Model
10.5281/zenodo.15269453 · 2025 · External reference
Instrument-adaptable deep learning workflow for automated plankton classification
2026 · External reference
Automated image classification workflow for phytoplankton monitoring
10.3389/fmars.2025.1699781 · 2025 · External reference
lifewatch/phyto-plankton-classification: v1.0-PI10 (v1.0-PI10)
10.5281/zenodo.19609980 · 2026 · External reference
Toward a new data standard for combined marine biological and environmental datasets ‐ expanding OBIS beyond species occurrences
10.3897/bdj.5.e10989 · 2017 · External reference
Survey of automatic plankton image recognition: challenges, existing solutions and future perspectives
10.1007/s10462-024-10745-y · 2024 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Zooplankton sampling
10.1038/211915a0 · 1966 · External reference
Are plankton nets a thing of the past? An assessment of in situ imaging of zooplankton for large-scale ecosystem assessment and policy decision-making
10.3389/fmars.2022.986206 · 2022 · External reference
Validation methods for plankton image classification systems
10.1002/lom3.10151 · 2017 · External reference
Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook
10.1093/icesjms/fsab255 · 2022 · External reference
Digital zooplankton image analysis using the ZooScan integrated system
10.1093/plankt/fbp124 · 2010 · External reference
The immeasurable value of plankton to humanity
10.1093/biosci/biaf049 · 2025 · External reference
Uniform manifold approximation and projection
10.1038/s43586-024-00363-x · 2024 · External reference
Global gradients in species richness of marine plankton functional groups
10.1093/plankt/fbad044 · 2020 · External reference
Major declines in NE Atlantic plankton contrast with more stable populations in the rapidly warming North Sea
10.1016/j.scitotenv.2023.165505 · 2023 · External reference
Unresolved reference
External reference
Machine learning for the study of plankton and marine snow from images
10.1146/annurev-marine-041921-013023 · 2022 · External reference
Cross-modal learning for plankton recognition
10.48550/arxiv.2603.16427 · 2026 · External reference
What makes pelagic copepods so successful
10.1093/plankt/fbq159 · 2011 · External reference
Towards operational phytoplankton recognition with automated high-throughput imaging, near-real-time data processing, and convolutional neural networks
10.3389/fmars.2022.867695 · 2022 · External reference
Modelling the impact of the Scheldt and Rhine/Meuse plumes on the salinity distribution in Belgian waters (southern North Sea)
10.1016/j.seares.2004.01.003 · 2004 · External reference
Advancing long-term phytoplankton biodiversity assessment in the North Sea using an imaging approach
10.1038/s41597-025-06278-w · 2025 · External reference
Deep learning
10.1038/nature14539 · 2015 · External reference
Unresolved reference
2013 · External reference
Trait-based approaches to zooplankton communities
10.1093/plankt/fbt019 · 2013 · External reference
Globally consistent quantitative observations of planktonic ecosystems
10.3389/fmars.2019.00196 · 2019 · External reference
Underwater optical image processing: A comprehensive review
10.1007/s11036-017-0863-4 · 2017 · External reference
Deep learning and transfer learning features for plankton classification
10.1016/j.ecoinf.2019.02.007 · 2019 · External reference
Automated plankton image classification using deep learning
10.1002/lom3.10285 · 2018 · External reference
Unresolved reference
1998 · External reference
UMAP: Uniform manifold approximation and projection
10.21105/joss.00861 · 2018 · External reference
Underwater dual-magnification imaging for automated lake plankton monitoring
10.1016/j.watres.2021.117524 · 2021 · External reference
PlankFormer: Robust plankton instance segmentation via MAE-pretrained vision transformers and pseudo community image generation
10.34133/olar.0132 · 2026 · External reference
jonasmortelmansvliz/imagingValidationApp: v1.0.1 (v1.0.1)
10.5281/zenodo.18429119 · 2026 · External reference
jonasmortelmansvliz/VLIZ-PI10-archiving: v1.0.0 (v1.0.0)
10.5281/zenodo.18431497 · 2026 · External reference
jonasmortelmansvliz/VLIZ-PI10-DwC-A: v1.0.1 (v1.0.1)
10.5281/zenodo.19452901 · 2026 · External reference
Copepods (Crustacea: Copepoda) in the Belgian part of the North Sea: Trends, dynamics and anomalies
10.1016/j.jmarsys.2021.103558 · 2021 · External reference
Unresolved reference
2026 · External reference
LifeWatch observatory data: Zooplankton observations in the Belgian part of the North Sea
10.1002/gdj3.68 · 2019 · External reference
Influence of the residual circulation on the physico-chemical characteristics of water masses and the dynamics of ecosystems in the Belgian coastal zone
10.1016/0278-4343(84)90005-0 · 1984 · External reference
Zooglider: An autonomous vehicle for optical and acoustic sensing of zooplankton
10.1002/lom3.10301 · 2018 · External reference
A Video Plankton Recorder user guide: Lessons learned from in situ plankton imaging in shallow and turbid coastal waters in the Belgian part of the North Sea
10.1016/j.seares.2022.102257 · 2022 · External reference
A submersible imaging-in-flow instrument to analyze nano- and microplankton: Imaging FlowCytobot
10.4319/lom.2007.5.195 · 2007 · External reference
Unresolved reference
External reference
The Underwater Vision Profiler 6: An imaging sensor of particle size spectra and plankton, for autonomous and cabled platforms
10.1002/lom3.10475 · 2022 · External reference
RAPID: real-time automated plankton identification dashboard using Edge AI at sea
10.3389/fmars.2024.1513463 · 2025 · External reference
A first approach to build and test the Copepod Mean Size and Total Abundance (CMSTA) ecological indicator using in-situ size measurements from the Plankton Imager (PI)
10.1016/j.ecolind.2020.107307 · 2021 · External reference
Comparison of a cost-effective integrated plankton sampling and imaging instrument with traditional systems for mesozooplankton sampling in the Celtic Sea
10.3389/fmars.2018.00005 · 2018 · External reference
Automatic plankton image classification—Can capsules and filters help cope with data set shift
10.1002/lom3.10413 · 2021 · External reference
Unresolved reference
2007 · External reference
Phytoplankton taxonomic and functional diversity patterns across a coastal tidal front
10.1038/s41598-021-82071-0 · 2021 · External reference
Monitoring and modelling marine zooplankton in a changing climate
10.1038/s41467-023-36241-5 · 2023 · External reference
Comparison of FlowCam Macro and traditional microscopy for studying mesopelagic copepod community composition
10.1093/plankt/fbag037 · 2026 · External reference
Fuzzy overclustering: Semi-supervised classification of fuzzy labels with overclustering and inverse cross-entropy
10.3390/s21196661 · 2021 · External reference
Edge computing at sea: High-throughput classification of in-situ plankton imagery for adaptive sampling
10.3389/fmars.2023.1187771 · 2023 · External reference
MorphoCluster: Efficient annotation of plankton images by clustering
10.3390/s20113060 · 2020 · External reference
Imaging of plankton specimens with the Lightframe On-sight Keyspecies Investigation (LOKI) system
10.2971/jeos.2010.10017s · 2010 · External reference
The Plankton Imager (Pi-10): An imaging instrument for automated and continuous zooplankton data collection
10.1101/2025.01.27.635045 · 2025 · External reference
In situ automated imaging, using the Plankton Imager, captures temporal variations in mesozooplankton using the Celtic Sea as a case study
10.1093/plankt/fbab018 · 2021 · External reference
Practical guidance on automated sorting of underwater images in plankton ecology research
10.1093/icesjms/fsaf212 · 2026 · External reference
Automated taxonomic classification of phytoplankton sampled with imaging-in-flow cytometry
10.4319/lom.2007.5.204 · 2007 · External reference
Efficientnetv2: Smaller models and faster training
2021 · External reference
scikit-image: image processing in python
10.7717/peerj.453 · 2014 · External reference
A large (50k+) and FAIR training set for the Plankton Imager (Pi-10) for the Greater North Sea and NW Atlantic, based on a flexible classification protocol
10.5194/essd-2026-215 · 2026 · External reference
From the Hensen net toward four-dimensional biological oceanography
10.1016/s0079-6611(02)00140-4 · 2003 · External reference
Darwin Core: An evolving community-developed biodiversity data standard
10.1371/journal.pone.0029715 · 2012 · External reference
The FAIR Guiding Principles for scientific data management and stewardship
10.1038/sdata.2016.18 · 2016 · External reference