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4. Automatic Detection of Potentially Ineffective Verbal Communication for Training through Simulation in Neonatology

11. Data Processing and Analytics for Data-Centric Sciences

13. Distinguishing Violinists and Pianists Based on Their Brain Signals

17. Figure 3 from: Froese R, Winker H, Coro G, Palomares M-L, Tsikliras AC, Dimarchopoulou D, Touloumis K, Demirel N, Vianna GMS, Scarcella G, Schijns R, Liang C, Pauly D (2023) New developments in the analysis of catch time series as the basis for fish stock assessments: The CMSY++ method. Acta Ichthyologica et Piscatoria 53: 173-189. https://doi.org/10.3897/aiep.53.105910

18. Supplementary material 1 from: Froese R, Winker H, Coro G, Palomares M-L, Tsikliras AC, Dimarchopoulou D, Touloumis K, Demirel N, Vianna GMS, Scarcella G, Schijns R, Liang C, Pauly D (2023) New developments in the analysis of catch time series as the basis for fish stock assessments: The CMSY++ method. Acta Ichthyologica et Piscatoria 53: 173-189. https://doi.org/10.3897/aiep.53.105910

19. Figure 5 from: Froese R, Winker H, Coro G, Palomares M-L, Tsikliras AC, Dimarchopoulou D, Touloumis K, Demirel N, Vianna GMS, Scarcella G, Schijns R, Liang C, Pauly D (2023) New developments in the analysis of catch time series as the basis for fish stock assessments: The CMSY++ method. Acta Ichthyologica et Piscatoria 53: 173-189. https://doi.org/10.3897/aiep.53.105910

20. New developments in the analysis of catch time series as the basis for fish stock assessments: The CMSY++ method

21. Figure 1 from: Froese R, Winker H, Coro G, Palomares M-L, Tsikliras AC, Dimarchopoulou D, Touloumis K, Demirel N, Vianna GMS, Scarcella G, Schijns R, Liang C, Pauly D (2023) New developments in the analysis of catch time series as the basis for fish stock assessments: The CMSY++ method. Acta Ichthyologica et Piscatoria 53: 173-189. https://doi.org/10.3897/aiep.53.105910

22. Figure 4 from: Froese R, Winker H, Coro G, Palomares M-L, Tsikliras AC, Dimarchopoulou D, Touloumis K, Demirel N, Vianna GMS, Scarcella G, Schijns R, Liang C, Pauly D (2023) New developments in the analysis of catch time series as the basis for fish stock assessments: The CMSY++ method. Acta Ichthyologica et Piscatoria 53: 173-189. https://doi.org/10.3897/aiep.53.105910

23. Figure 6 from: Froese R, Winker H, Coro G, Palomares MLD, Tsikliras AC, Dimarchopoulou D, Touloumis K, Demirel N, Vianna GMS, Scarcella G, Schijns R, Liang C, Pauly D (2023) New developments in the analysis of catch time series as the basis for fish stock assessments: The CMSY++ method. Acta Ichthyologica et Piscatoria 53: 173-189. https://doi.org/10.3897/aiep.53.e105910

25. Scientific knowledge gaps on the biology of non-fish marine species across European Seas

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30. A simple framework for the exploration of functional biodiversity

31. Scientific knowledge gaps on the biology of non-fish marine species across European Seas

33. Evaluation of operational ocean forecasting systems from the perspective of the users and the experts

34. Scientific knowledge gaps on the biology of non-fish marine species across European Seas

35. An open science automatic workflow for multi-model species distribution estimation

38. Automatic Procedures to Assist in Manual Review of Marine Species Distribution Maps

41. Virtual research environments co‐creation: The D4Science experience.

43. Multigranular Scale Speech Recognizers: Technological and Cognitive View

46. A simple framework for the exploration of functional biodiversity

47. Virtual research environments co-creation: the D4Science experience

48. Virtual research environments co‐creation: The D4Science experience

50. New developments in the analysis of catch time series as the basis for fish stock assessments: The CMSY++ method.

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