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2. Automatic image-based identification and biomass estimation of invertebrates

3. Empirical Bayes to assess ecological diversity and similarity with overdispersion in multivariate counts

4. Human experts vs. machines in taxa recognition

6. A practical guide to DNA-based methods for biodiversity assessment

9. Metabarcoding for use in Nordic routine aquatic biomonitoring - a validation study​

15. DNA metabarcoding - Guidelines to monitor phytoplankton diversity and distribution in marine and brackish waters

16. DNA metabarcoding : Guidelines to monitor phytoplankton diversity and distribution in marine and brackish waters

17. Why We Need Sustainable Networks Bridging Countries, Disciplines, Cultures and Generations for Aquatic Biomonitoring 2.0: A Perspective Derived From the DNAqua-Net COST Action

18. Case study optimisation strategies

20. Multiple Order Gradient Feature for Macro-Invertebrate Identification Using Support Vector Machines

21. WG3: New Concepts and Standards for Data management (Content, curation, quality management, technical framework, documentation)

22. A strategy for successful integration of DNA-based methods in aquatic monitoring

24. A strategy for successful integration of DNA-based methods in aquatic monitoring

25. Supplementary material 1 from: Blancher P, Lefrançois E, Rimet F, Vasselon V, Argillier C, Arle J, Beja P, Boets P, Boughaba J, Chauvin C, Deacon M, Duncan W, Ejdung G, Erba S, Ferrari B, Fischer H, Hänfling B, Haldin M, Hering D, Hette-Tronquart N, Hiley A, Järvinen M, Jeannot B, Kahlert M, Kelly M, Kleinteich J, Koyuncuoğlu S, Krenek S, Langhein-Winther S, Leese F, Mann D, Marcel R, Marcheggiani S, Meissner K, Mergen P, Monnier O, Narendja F, Neu D, Onofre Pinto V, Pawlowska A, Pawlowski J, Petersen M, Poikane S, Pont D, Renevier M-S, Sandoy S, Svensson J, Trobajo R, Tünde Zagyva A, Tziortzis I, van der Hoorn B, Vasquez MI, Walsh K, Weigand A, Bouchez A (2022) A strategy for successful integration of DNA-based methods in aquatic monitoring. Metabarcoding and Metagenomics 6: e85652. https://doi.org/10.3897/mbmg.6.85652

27. Roadmap for implementing environmental DNA (eDNA) and other molecular monitoring methods in Finland – Vision and action plan for 2022–2025

28. Marine monitoring in transition: On the verge of technological revolution?

31. The pathway of molecular methods from research to routine use

32. Technical challenges when scaling up macroinvertebrate DNA metabarcoding

33. A practical guide to DNA-based methods for biodiversity assessment

34. Figure 1 from: Laamanen T, Norros V, Suikkanen S, Tolkkinen M, Vuorio K, Vihervaara P, Sirkiä P, Jørgensen K, Kortelainen P, Reunamo A, Järvinen M, Meissner K (2021) A pilot for implementing environmental DNA (eDNA) based methods into environmental and biomonitoring. ARPHA Conference Abstracts 4: e64800. https://doi.org/10.3897/aca.4.e64800

35. A pilot for implementing environmental DNA (eDNA) based methods into environmental and biomonitoring

36. Metabarcoding for use in Nordic routine aquatic biomonitoring - a validation study​

37. A Synthesis of Marine Monitoring Methods With the Potential to Enhance the Status Assessment of the Baltic Sea

39. A Synthesis of Marine Monitoring Methods With the Potential to Enhance the Status Assessment of the Baltic Sea

40. Automatic image‐based identification and biomass estimation of invertebrates

41. Deep learning and computer vision will transform entomology

44. Science Advances

45. Global patterns and drivers of ecosystem functioning in rivers and riparian zones

46. Protecting and restoring Europe's waters: an analysis of the future development needs of the Water Framework Directive

47. Advancing the use of molecular methods for routine freshwater macroinvertebrate biomonitoring – the need for calibration experiments

48. Global patterns and drivers of ecosystem functioning in rivers and riparian zones

49. Testate amoebae community analysis as a tool to assess biological impacts of peatland use

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