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