Publications | Page 14 | - CCMAR -
Found 2983 results
2020
Aveiro SS, Melo T, Figueiredo A, et al. The Polar Lipidome of Cultured Emiliania huxleyi: A Source of Bioactive Lipids with Relevance for Biotechnological Applications. Biomolecules. 2020;10(10):1434. doi:10.3390/biom10101434
Moura A, Muniz AA, Mullis E, et al. Population structure and dynamics of the Atlantic mackerel (Scomber scombrus) in the North Atlantic inferred from otolith chemical and shape signatures. Fisheries Research. 2020;230:105621. doi:10.1016/j.fishres.2020.105621
Bebianno MJ, Rocha TL, Pontes JF, Amaral AC, Grenha A. Potential Ecotoxicological Risk of Nanopharmaceuticals in the Aquatic Environment. In: Nanopharmaceuticals: Principles And Applications Vol. 2. Nanopharmaceuticals: Principles and Applications Vol. 2. Springer International Publishing; 2020:289 - 317. doi:10.1007/978-3-030-44921-610.1007/978-3-030-44921-6_8
Fatsini E, González W, Ibarra-Zatarain Z, Napuchi J, Duncan NJ. The presence of wild Senegalese sole breeders improves courtship and reproductive success in cultured conspecifics. Aquaculture. 2020;519:734922. doi:10.1016/j.aquaculture.2020.734922
Carlier JD, Ettamimi S, Cox CJ, Hammani K, Ghazal H, Costa MClara. Prokaryotic diversity in stream sediments affected by acid mine drainage. Extremophiles. 2020. doi:10.1007/s00792-020-01196-8
de Magalhães CRaposo, Schrama D, Farinha APaula, et al. Protein changes as robust signatures of fish chronic stress: a proteomics approach to fish welfare research. BMC Genomics. 2020;21(1). doi:10.1186/s12864-020-6728-4
de Magalhães CSofia Ferr, Cerqueira MAlexandre, Schrama D, Moreira MJúlio Vic, Boonanuntanasarn S, Rodrigues PMiguel Lea. A Proteomics and other Omics approach in the context of farmed fish welfare and biomarker discovery. Reviews in Aquaculture. 2020;12(1):122 - 144. doi:10.1111/raq.v12.110.1111/raq.12308
MORTIMER KATE, MILLS KIMBERLEY, JORDANA ESTHER, PINEDO SUSANA, Gil J.

A further review of European Magelonidae (Annelida), including descriptions of Magelona equilamellae and Magelona filiformis

. Zootaxa. 2020;4767(1):89 - 114. doi:10.11646/zootaxa.4767.110.11646/zootaxa.4767.1.4
KOVAČIĆ MARCELO, Wirtz P, SCHLIEWEN ULRICHK.

A new species of Corcyrogobius (Teleostei: Gobiidae) from Île de Ngor, Senegal

. Zootaxa. 2020;4834(1):121 - 132. doi:10.11646/zootaxa.4834.110.11646/zootaxa.4834.1.8
Christie AP, Abecasis D, Adjeroud M, et al. Quantifying and addressing the prevalence and bias of study designs in the environmental and social sciences. Nature Communications. 2020;11(1). doi:10.1038/s41467-020-20142-y
Gandra M, Assis J, Martins MR, Abecasis D. Reduced Global Genetic Differentiation of Exploited Marine Fish Species. Molecular Biology and Evolution. 2020. doi:10.1093/molbev/msaa299
Ntuli NN, Nicastro KR, Zardi GI, Assis J, McQuaid CD, Teske PR. Rejection of the genetic implications of the “Abundant Centre Hypothesis” in marine musselsAbstract. Scientific Reports. 2020;10(1). doi:10.1038/s41598-020-57474-0
Naafs BDA, Voelker AHL, Karas C, Andersen N, Sierro FJ. Repeated Near‐Collapse of the Pliocene Sea Surface Temperature Gradient in the North Atlantic. Paleoceanography and Paleoclimatology. 2020;35(5). doi:10.1029/2020PA003905
Bairi KEl, Trapani D, Petrillo A, et al. Repurposing anticancer drugs for the management of COVID-19. European Journal of Cancer. 2020;141:40 - 61. doi:10.1016/j.ejca.2020.09.014
Martínez-Crego B, Vizzini S, Califano G, et al. Resistance of seagrass habitats to ocean acidification via altered interactions in a tri-trophic chainAbstract. Scientific Reports. 2020;10(1). doi:10.1038/s41598-020-61753-1
B M-C, S V, G C, et al. Resistance of seagrass habitats to ocean acidification via altered interactions in a tri-trophic chain. Scientific Reports . 2020;10. doi:10.1038/s41598-020-61753-1
Diaz-Gil C, Alós J, Arechavala-Lopez P, et al. Reversible morphological changes in a juvenile marine fish after exposure to predatory alarm cues. Royal Society Open Science. 2020;7(5):191945. doi:10.1098/rsos.191945
Costa GBurle, Koerich G, de Ramos B, et al. A review of common parameters and descriptors used in studies of the impacts of heavy metal pollution on marine macroalgae: identification of knowledge gaps and future needs. Acta Botanica Brasilica. 2020;34(3):460 - 477. doi:10.1590/0102-33062020abb0072
Secrieru A, O’Neill PMichael, Cristiano MLurdes San. Revisiting the Structure and Chemistry of 3(5)-Substituted Pyrazoles. Molecules. 2020;25(1):42. doi:10.3390/molecules25010042
Domínguez‐Godino JA, Santos TF, Pereira H, Custódio L, González‐Wangüemert M. Seagrass debris as potential food source to enhance Holothuria arguinensis ' growth in aquaculture. Aquaculture Research. 2020;51(4):1487 - 1499. doi:10.1111/are.v51.410.1111/are.14495
Santos CB de los, Olivé I, Moreira M, et al. Seagrass meadows improve inflowing water quality in aquaculture ponds. Aquaculture. 2020;528:735502. doi:10.1016/j.aquaculture.2020.735502
Sordo L, Santos R, Barrote I, Freitas C, Silva J. Seasonal Photosynthesis, Respiration, and Calcification of a Temperate Maërl Bed in Southern PortugalData_Sheet_1.doc. Frontiers in Marine Science. 2020;7. doi:10.3389/fmars.2020.0013610.3389/fmars.2020.00136.s001
Ibarra-Zatarain Z, Rey S, Boglino A, Fatsini E, Duncan N. Senegalese sole (Solea senegalensis) coping styles are consistent over time: behavioural and physiological responses during ontogenesis. Physiology & Behavior. 2020;217:112803. doi:10.1016/j.physbeh.2020.112803
Nascimento S, S. M, Relvas P. Sequential Self-tuning Clustering for Automatic Delimitation of Coastal Upwelling on SST Images. In: Analide C., Novais P., Camacho D., Yin H. (eds). In: Intelligent Data Engineering And Automated Learning – Ideal 2020. Lecture Notes In Computer Science. Intelligent Data Engineering and Automated Learning – IDEAL 2020. Lecture Notes in Computer Science. In: Analide C., Novais P., Camacho D., Yin H. (eds), Springer, Cham.; 2020. doi:https://doi.org/10.1007/978-3-030-62365-4_41
S N, S. M, P. R. Sequential Self-tuning Clustering for Automatic Delimitation of Coastal Upwelling on SST Images. Intelligent Data Engineering and Automated Learning – IDEAL 2020 - Lecture Notes in Computer Science. 2020;12490. doi:https://doi.org/10.1007/978-3-030-62365-4_41