Articles | Volume 16, issue 1
© Author(s) 2020. This work is distributed underthe Creative Commons Attribution 4.0 License.
Marine monitoring in Europe: is it adequate to address environmental threats and pressures?
Total article views: 3,310 (including HTML, PDF, and XML)Cumulative views and downloads (calculated since 11 Jul 2019)Views and downloads (calculated since 11 Jul 2019)
Viewed (geographical distribution)
Total article views: 3,310 (including HTML, PDF, and XML) Thereof 2,874 with geography defined and 436 with unknown origin.
Total article views: 2,726 (including HTML, PDF, and XML) Thereof 2,470 with geography defined and 256 with unknown origin.
Total article views: 584 (including HTML, PDF, and XML) Thereof 404 with geography defined and 180 with unknown origin.
15 citations as recorded by crossref.
- Management of invasive alien species in Spain: A bibliometric review R. Muñoz-Mas et al. 10.3897/neobiota.70.68202
- Towards Naples Ecological REsearch for Augmented Observatories (NEREA): The NEREA-Fix Module, a Stand-Alone Platform for Long-Term Deep-Sea Ecosystem Monitoring E. Fanelli et al. 10.3390/s20102911
- Modelling mussel (<i>Mytilus spp.</i>) microplastic accumulation N. Stamataki et al. 10.5194/os-16-927-2020
- Different flavours of oxygen help quantify seasonal variations of the biological carbon pump in the Celtic Sea I. Seguro et al. 10.3389/fmars.2023.1037470
- Using Optical Water-Type Classification in Data-Poor Water Quality Assessment: A Case Study in the Torres Strait C. Petus et al. 10.3390/rs14092212
- Seamless Integration of the Coastal Ocean in Global Marine Carbon Cycle Modeling M. Mathis et al. 10.1029/2021MS002789
- Tracking ongoing transboundary marine distributional range shifts in the digital era V. Sbragaglia et al. 10.3354/meps14309
- A Citizen Science Unmanned Aerial System Data Acquisition Protocol and Deep Learning Techniques for the Automatic Detection and Mapping of Marine Litter Concentrations in the Coastal Zone A. Papakonstantinou et al. 10.3390/drones5010006
- Assessing the Image Concept Drift at the OBSEA Coastal Underwater Cabled Observatory E. Ottaviani et al. 10.3389/fmars.2022.840088
- Sampling native and non-native mobile epifauna with baited traps and habitat collectors – Port of Gdynia case study (southern Baltic Sea, Poland) M. Normant-Saremba et al. 10.1515/ohs-2020-0028
- Marine monitoring in transition: On the verge of technological revolution? S. Korpinen et al. 10.3389/fmars.2022.1066769
- Local and remote physical processes driving variability of the planktonic system in the Juan Fernández Archipelago: A multidisciplinary framework providing conservation insights C. Parada et al. 10.1002/aqc.3499
- Fouling communities and non-native species within five ports along the Bristol Channel, South Wales, UK S. Holmes & R. Callaway 10.1016/j.ecss.2021.107295
- Machine learning applied to big data from marine cabled observatories: A case study of sablefish monitoring in the NE Pacific F. Bonofiglio et al. 10.3389/fmars.2022.842946
- Heavy Metals in the Adriatic-Ionian Seas: A Case Study to Illustrate the Challenges in Data Management When Dealing With Regional Datasets M. Molina Jack et al. 10.3389/fmars.2020.571365
Latest update: 24 Sep 2023