Search results for "Centro Oceanográfico de Gijón"

showing 4 items of 4 documents

Twitter as a tool for teaching and communicating microbiology: the #micromoocsem initiative

2016

López-Goñi, Ignacio et al.

0301 basic medicineComputer scienceHuman immunodeficiency virus (HIV)medicine.disease_causeMicrobiologíaSocial networksMultidisciplinary approachScience communicationDuration (project management)Biology (General)lcsh:QH301-705.5X300Centro Oceanográfico de Gijónmedia_commoneducation.field_of_studylcsh:LC8-66914. Education05 social sciences050301 educationC500Special aspects of educationsocial networkGeneral Agricultural and Biological SciencesP990AcuiculturaQH301-705.5media_common.quotation_subject030106 microbiologyPopulationTwitterAcademic practiceTips & Toolscollaborative teachingMOOCMicrobiologyGeneral Biochemistry Genetics and Molecular BiologyEducationMicrobiology03 medical and health sciencesactive learningmedicineInstitutioneducationGeneral Immunology and MicrobiologyLC8-6691lcsh:Special aspects of educationTeachingmicrobiologySocial learningsocial learningMicroMOOCSEMlcsh:Biology (General)0503 education
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Polar marine biology science in Portugal and Spain: Recent advances and future perspectives

2013

Xavier, José C. et al.

Polar science0106 biological sciencesEcology (disciplines)BiodiversityClimate changeAquatic ScienceOceanography010603 evolutionary biology01 natural sciencesArcticMarine ecosystem14. Life underwaterMedio MarinoCentro Oceanográfico de GijónEcology Evolution Behavior and SystematicsApex predatorMarine biologyPortugalEcology010604 marine biology & hydrobiologyPelagic zoneMarine Biology (journal)Marine SciencesGeographyArcticSpain13. Climate actionAntarctic
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Distance decay 2.0. A global synthesis of taxonomic and functional turnover in ecological communities

2022

Caio Graco-Roza was funded by the Coordination for the Improvement of Higher Education Personnel (CAPES), the Carlos Chagas Filho Research Support Foundation (FAPERJ) and the Ella and Georg Erhnrooth Foundation; Jan Altman by research grants INTER-EXCELLENCE LTAUSA19137 provided by Czech Ministry of Education, Youth and Sports, 20-05840Y of the Czech Science Foundation, and long-term research development project no. RVO 67985939 of the Czech Academy of Sciences; Otso Ovaskainen was funded by Academy of Finland (grant no. 309581), Jane and Aatos Erkko Foundation, Research Council of Norway through its Centres of Excellence Funding Scheme (223257), and the European Research Council (ERC) unde…

environmental gradientASSEMBLY PROCESSESlatitudinal gradient333.7: Landflächen NaturerholungsgebieteTraitaccessβ-diversityDRIVERSQuantitative Biology::Populations and Evolutionspatial distancebeta-diversity biogeography environmental gradient spatial distance traitSCALE DEPENDENCYCentro Oceanográfico de GijónbiodiversityGlobal and Planetary ChangeEcologytraitdriverseliöyhteisötekologiaENVIRONMENTAL-CONDITIONSBiogeographySIMILARITY1181 Ecology evolutionary biologySpatial distance1171 Geosciencesbeta-diversityβ-diversity; biogeography; environmental gradient; spatial distance; traitscale dependencyβ- diversitybeta-diversity patternsβ‐diversityeliömaantiede4111 Agronomyβ-diversity biogeography environmental gradient spatial distance traitspecies traitsbeta-diversity; biogeography; environmental gradient; spatial distance; traitdistributionenvironmental-conditionsEnvironmental gradientassembly processesMedio Marinosimilarity1172 Environmental sciencesEcology Evolution Behavior and SystematicsbiogeographybiodiversiteettiLATITUDINAL GRADIENTbiogeography; environmental gradient; spatial distance; trait; β-diversityresponsesBIODIVERSITYHigh Energy Physics::ExperimentBETA-DIVERSITY PATTERNSSPECIES TRAITSRESPONSES
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Automated Plankton Classification With a Dynamic Optimization and Adaptation Cycle

2022

With recent advances in Machine Learning techniques based on Deep Neural Networks (DNNs), automated plankton image classification is becoming increasingly popular within the marine ecological sciences. Yet, while the most advanced methods can achieve human-level performance on the classification of everyday images, plankton image data possess properties that frequently require a final manual validation step. On the one hand, this is due to morphological properties manifesting in high intra-class and low inter-class variability, and, on the other hand is due to spatial-temporal changes in the composition and structure of the plankton community. Composition changes enforce a frequent updating…

fishGlobal and Planetary ChangeclassificationplanktonOcean EngineeringearthMedio MarinooceanographyAquatic ScienceOceanographyVDP::Teknologi: 500::Marin teknologi: 580Centro Oceanográfico de GijónWater Science and TechnologyFrontiers in Marine Science
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