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1. A Generative Machine Learning Approach for Improving Precipitation from Earth System Models

2. Conditional diffusion models for downscaling & bias correction of Earth system model precipitation

3. Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Foundation Models

4. Tissue Distribution and Metabolization of Ciguatoxins in an Herbivorous Fish following Experimental Dietary Exposure to Gambierdiscus polynesiensis.

5. Deep learning for bias-correcting CMIP6-class Earth system models

6. Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models

23. Tissue Distribution and Metabolization of Ciguatoxins in an Herbivorous Fish following Experimental Dietary Exposure to Gambierdiscus polynesiensis.

25. Azaspiracid Toxins: Toxicological Profile

27. Interlaboratory Evaluation of Multiple LC–MS/MS Methods and a Commercial ELISA Method for Determination of Tetrodotoxin in Oysters and Mussels

32. Deep Learning for bias-correcting comprehensive high-resolution Earth system models

37. Deciphering interactions between the marine dinoflagellateProrocentrum limaand the fungusAspergillus pseudoglaucus

47. Comparative Study on the Performance of Three Detection Methods for the Quantification of Pacific Ciguatoxins in French Polynesian Strains of Gambierdiscus polynesiensis

49. Improving Community Funding and Workflows for Scholar-led Journals and Blogs

50. Unraveling the Gonyaulax baltica Species Complex: Cyst–theca Relationship of Impagidinium variaseptum , Spiniferites pseudodelicatus sp. nov. and S. ristingensis (Gonyaulacaceae, Dinophyceae), With Descriptions of Gonyaulax bohaiensis sp. nov, G. amoyensis sp. nov. and G. portimonensis sp. nov

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