e95d0010-b3f1-11de-82f8-b8a03c50a862 doi:10.15468/wdwxid https://ipt.gbif.es/resource?r=aforo Colección de referencia de otolitos, Instituto de Ciencias del Mar-CSIC Òscar Chic Giménez Institute of Marine Sciencies (ICM-CSIC) Vice-director
Passeig Marítim de la Barceloneta, 37-49 Barcelona Barcelona E-08003 ES
+34 93 230 95 00 ochic@icm.csic.es http://www.icm.csic.es/
Antoni Lombarte Carrera Institute of Marine Sciencies (ICM-CSIC) Researcher
Passeig Marítim de la Barceloneta, 37-49 Barcelona Barcelona E-08003 ES
+34 93 230 95 00 toni@icm.csic.es http://www.icm.csic.es/
2021-07-28 eng This collection is a catalogue of otolith stored in a database. The database is regularly updated and at present (06/17/2014) it contains a total of 4556 high resolution images corresponding to 1381 species and 216 families from the Mediterranean Sea, Antarctic Ocean (Weddell Sea, Ross Sea, Antarctic Peninsula), Atlantic Ocean (Argentina, Uruguay, South-western Islands, Gulf of Mexico, USA, Canada, Baltic Sea, North Sea, Ireland Sea, Cantabric Sea, Portugal, Madeira, Canary Islands, Morocco, Cabo Verde, Senegal, Gabon, Namibia), Indic Ocean (Madagascar, Tanzania, Red Sea, Iran) and Pacific (Australia, New Zealand, New Caledonia, Muroroa, Peru, Ecuador, Canada, Alaska). AFORO website offers an open online catalogue of otolith images and its associated shape analysis through pattern recognition techniques applying Fourier transform (FT), curvature space scale (CSS) and wavelet analysis (WT). This site also includes an Automatic Taxon Identification such allows to search and identify directly using query images of otholits. Recently, AFORO has incorporated 3D otoliths. otolith otoliths sagitta fish otoliths otolith shape otolith database automatic taxon identification wavelet Fourier curvature space scale 3D otoliths GBIF Dataset Type Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_type.xml Occurrence GBIF Dataset Type Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_type_2015-07-10.xml This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC) 4.0 License. http://aforo.cmima.csic.es Species and families from the Mediterranean Sea, Antarctic Ocean (Weddell Sea, Ross Sea, Antarctic Peninsula), Atlantic Ocean (Argentina, Uruguay, South-western Islands, Gulf of Mexico, USA, Canada, Baltic Sea, North Sea, Ireland Sea, Cantabric Sea, Portugal, Madeira, Canary Islands, Morocco, Cabo Verde, Senegal, Gabon, Namibia), Indic Ocean (Madagascar, Tanzania, Red Sea, Iran) and Pacific (Australia, New Zealand, New Caledonia, Muroroa, Peru, Ecuador, Canada, Alaska). -180 180 90 -90 order Acipenseriformes order Albuliformes order Anguilliformes order Argentiniformes order Atheriniformes order Aulopiformes order Batrachoidiformes order Beloniformes order Beryciformes order Characiformes order Clupeiformes order Cypriniformes order Cyprinodontiformes order Elopiformes order Gadiformes order Gasterosteiformes order Gasterostiformes order Gonorynchiformes order Lampridiformes order Lophiiformes order Mugiliformes order Myctophiformes order Ophidiiformes order Osmeriformes order Osteoglossiformes order Perciformes order Pleuronectiformes order Polymixiiformes order Salmoniformes order Scorpaeniformes order Siluriformes order Stephanoberyciformes order Stomiiformes order Tetraodontiformes order Zeiformes kingdom Animalia phylum Chordata daily Amalia Manjabacas Soriano Institute of Marine Sciencies (ICM-CSIC) Technician
Passeig Marítim de la Barceloneta, 37-49 Barcelona Barcelona E-08003 ES
+34 93 230 95 00 manjabacas@icm.csic.es http://www.icm.csic.es/
Project ION tools for the search, management and visualization of heterogenous data over Internet (Ref: MCyT - TIC2000-0376-p4-04) Emili García Ladona principalInvestigator Ministerio Ciencia y Tecnología (MCyT) Otolith images and its associated shape analysis through pattern recognition techniques applying Fourier transform (FT), curvature space scale (CSS) and wavelet analysis (WT) are used in identification of stocks, populations and species as part of ecological, trophic , paleontological, archeological and fishery studies. This site also includes an Automatic Taxon Identification such allows to search and identify directly using query images of otholits.
2014-06-11T10:03:31.416+02:00 dataset Lombarte, A., Ò. Chic, V. Parisi-Baradad, R. Olivella, J. Piera & E. García-Ladona. 2006. A web-based environment from shape analysis of fish otoliths. The AFORO database. Scientia Marina 70: 147-152. http://www.gbif.es/ipt/logo.do?r=aforo Not applicable e95d0010-b3f1-11de-82f8-b8a03c50a862 Colección de referencia de otolitos, Instituto de Ciencias del Mar-CSIC noTreatment 1975 e95d0010-b3f1-11de-82f8-b8a03c50a862/v1.6.xml