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Вклад СБС-ИнБЮМ в развитие биологической океанографии IBSS Repository
Заика, В. Е..
Представлен сжатый обзор истории развития исследований по биологической океанографии в институте (к 135-летию СБС-ИНБЮМ). В отличие от морской биологии, нацеленной на познание собственно биологических законов, биологическая океанография изучает соответствующие аспекты существования океана, его крупных экосистем. Показано, что наиболее важные работы обсуждаемого направления выполнены с помощью современного судна и современного оборудования. Перспективы биологической океанографии в институте тесно связаны с будущим научного судна «Профессор Водяницкий».
Tipo: Journal Contribution Palavras-chave: Биологическая океанография; История исследований; Интересные задачи; Biological oceanography; History of investigations; Interesting objectives Oceanography Oceanography http://aims.fao.org/aos/agrovoc/c_12889.
Ano: 2006 URL: http://repository.ibss.org.ua/dspace/handle/99011/280
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Linking biodiversity research in South America's oceans ArchiMer
Sathyendranath, S; Gallardo, Va.
This article outlines the background and planning for a South American workshop on marine biodiversity in Concepcion, Chile, 28-30 October, 2002. This first CoML/POGO effort in the Southern hemisphere, pursuant to the Sao Paulo declaration began with presentations in all major coastal states and brings together key South American researchers to take advantage of new research concepts emerging from the Census projects. (C) 2002 Ifremer/CNRS/IRD/Editions scientifiques et medicales Elsevier SAS. All rights reserved.
Tipo: Text Palavras-chave: Biodiversité; Océanographie biologique; Mers bordant l’Amérique du Sud; Biodiversity; Biological oceanography; South American waters.
Ano: 2002 URL: http://archimer.ifremer.fr/doc/00322/43309/42965.pdf
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Guide méthodologique. Version actualisée de ZooPhytoImage avec refonte de l’interface graphique. Action 9. FlowCam ZooPhytoImage. Livrable n°1. Rapport final ArchiMer
Grosjean, Philippe.
Zoo/PhytoImage 4 is an « open source » software based on R and ImageJ. It processes numerical images of plankton particles digitized using a FlowCAM, a flat-bed scanner, microor macrophotos, etc. The general concept consists in the individual outlining of particles on the pictures, followed by their measurements (so-called « attributes ») such the size, the shape, transparency, textures, etc. These attributes are then used by a classification tool to automatically predict the taxonomic group the particles belong to. The classifier is obtained after a learning stage using a machine learning algorithm and a training set of pre-identified particles. The algorithm learns to recognize the taxonomic group from the set of attributes measured on the picture. The...
Tipo: Text Palavras-chave: Océanographie biologique; Plancton; Surveillance côtière; Analyse automatisée; Analyse d'image; Classification supervisée; Biological oceanography; Plankton; Costal survey; Automated analysis; Image analysis; Machine learning.
Ano: 2014 URL: http://archimer.ifremer.fr/doc/00363/47436/47461.pdf
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Ocean Biogeographic Information System (OBIS), Second Technical Meeting, IODE, Ostend, Belgium, 21-22 June 2012 OceanDocs
Supported by IOC/IODE
Tipo: Report Palavras-chave: Biological oceanography; Information systems.
Ano: 2012 URL: http://hdl.handle.net/1834/5561
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Métabolisme benthique des herbiers du banc d'arguin (Mauritanie) OceanDocs
Diagne, Ahmed.
Tipo: Theses and Dissertations Palavras-chave: Biological oceanography; Metabolism; Benthic algae; Sea grass; Atlantic Ocean; Algae.
Ano: 2010 URL: http://hdl.handle.net/1834/4753
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Second IODE Workshop on Quality Control of Chemical and Biological Oceanographic Data Collections, 22-24 October 2012, IOC Project Office for IODE, Ostend, Belgium OceanDocs
Supported by IOC/IODE
Tipo: Report Palavras-chave: Quality control; Biological oceanography.
Ano: 2012 URL: http://hdl.handle.net/1834/4763
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