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CETUS: Cetacean monitoring surveys in the Eastern North Atlantic
Citable as data publication
Correia, A.M., Oliveira-Rodrigues, C., Gandra, M., Liberal, M., Valente, R., Gil, A., Rosso, M., Pierce, G.J. & Sousa-Pinto, I., CIIMAR - UP. (2022). CETUS: Cetacean monitoring surveys in the Eastern North Atlantic. Marine Data Archive. https://doi.org/10.14284/547
Previous version view
Correia, A.M., Gandra, M., Liberal, M., Valente, R., Gil, A., Rosso, M., Pierce, G.J. & Sousa-Pinto, I, CIIMAR - UP. (2019). CETUS: Cetacean monitoring surveys in the Eastern North Atlantic. Marine Data Archive . https://doi.org/10.14284/350
Contact:
Correia, Ana Mafalda ;
Gandra, Miguel ;
Gandra, Miguel
Availability: 
This dataset is licensed under a Creative Commons Attribution 4.0 International License.
This dataset is licensed under a Creative Commons Attribution 4.0 International License.Description
The CETUS dataset contains effort-based occurrence records collected during a cetacean monitoring programme in the Eastern North Atlantic, since 2012. more
The CETUS dataset contains data collected within the CETUS Project (www.cetusproject.com), a cetacean monitoring programme in the Eastern North Atlantic, running since 2012. The project is led by the Interdisciplinary Centre of Marine and Environmental Research (CIIMAR - University of Porto, Portugal), in partnership with TRANSINSULAR - Grupo ETE, a Portuguese company for maritime transport, that offers its cargo ships to be used as a platforms of opportunity to monitor cetaceans along routes between Continental Portugal and Madeira, Azores, Canary and Cape Verde islands. On-board trained marine mammal observers collect data on: survey effort, cetacean and other megafauna occurrences, as well as marine traffic and meteorological conditions. Data is provided in the recent OBIS-ENV-DATA format, and comprises 8913 georeferenced positions associated with 3195 occurrences of 44 marine taxa. Acknowledgements We are extremely grateful to TRANSINSULAR that provided all the logistic support for data collection, and to the ship crews for their hospitality. This research was partially funded by the EU FEDER/FEMP and Portuguese Foundation for Science and Technology (FCT) under the Portugal2020 (Lisboa2020, Algarve2020 and MAR2020) Programme through project OBSERVA.PT (MAR-01.04.02-FEAMP-0002). A special acknowledgement to all CETUS volunteers for their contribution and dedication during the monitoring campaigns between 2012 and 2017. They were: Ágatha Gil; Alberto Perez; Alexandra Pires; Amber Coleman; Amelie Gadbois; Ana Ayres; Andreia Pereira; Anicee Lombal; Anja Badenas; António Nogueira; Ayca Eleman; Barbara Matos; Catarina Fonseca; Catarina Morgado; Claúdia Ferreira; Corina Peter; Fadia Al Abbar; Francisco Cardeal; Jack Ball; Joana Romero; Julia Heiler; Juliana Moron; Julien Freyer; Lara Meras; Laura García; Layla Mpinou; Leonardo Berninsone; Lidia Lado; Mafalda Correia; Maria Ballesteros; Maria Jímenez; Mieke Weyn; Nicholas Blanc; Oleh Danduriants; Olga Azevedo; Patrícia Carvalho; Paula Carreño; Paula Silvar; Pedro Fernandes; Raul Valente; Rebecca Velasco; Rhiannon Nichol; Roosevelt Gutierrez; Ryan Mathews; Santiago Otero; Sara Pastorino; Sarah Drake; Sofia Silva; Svenja Halfter; Tanja Schwank; Torcuato Mantas; Valeria Aragão; Verónica Belchior; Zara Valquíria
The CETUS dataset contains data collected within the CETUS Project (www.cetusproject.com), a cetacean monitoring programme in the Eastern North Atlantic, running since 2012. The project is led by the Interdisciplinary Centre of Marine and Environmental Research (CIIMAR - University of Porto, Portugal), in partnership with TRANSINSULAR - Grupo ETE, a Portuguese company for maritime transport, that offers its cargo ships to be used as a platforms of opportunity to monitor cetaceans along routes between Continental Portugal and Madeira, Azores, Canary and Cape Verde islands. On-board trained marine mammal observers collect data on: survey effort, cetacean and other megafauna occurrences, as well as marine traffic and meteorological conditions. Data is provided in the recent OBIS-ENV-DATA format, and comprises 8913 georeferenced positions associated with 3195 occurrences of 44 marine taxa. Acknowledgements We are extremely grateful to TRANSINSULAR that provided all the logistic support for data collection, and to the ship crews for their hospitality. This research was partially funded by the EU FEDER/FEMP and Portuguese Foundation for Science and Technology (FCT) under the Portugal2020 (Lisboa2020, Algarve2020 and MAR2020) Programme through project OBSERVA.PT (MAR-01.04.02-FEAMP-0002). A special acknowledgement to all CETUS volunteers for their contribution and dedication during the monitoring campaigns between 2012 and 2017. They were: Ágatha Gil; Alberto Perez; Alexandra Pires; Amber Coleman; Amelie Gadbois; Ana Ayres; Andreia Pereira; Anicee Lombal; Anja Badenas; António Nogueira; Ayca Eleman; Barbara Matos; Catarina Fonseca; Catarina Morgado; Claúdia Ferreira; Corina Peter; Fadia Al Abbar; Francisco Cardeal; Jack Ball; Joana Romero; Julia Heiler; Juliana Moron; Julien Freyer; Lara Meras; Laura García; Layla Mpinou; Leonardo Berninsone; Lidia Lado; Mafalda Correia; Maria Ballesteros; Maria Jímenez; Mieke Weyn; Nicholas Blanc; Oleh Danduriants; Olga Azevedo; Patrícia Carvalho; Paula Carreño; Paula Silvar; Pedro Fernandes; Raul Valente; Rebecca Velasco; Rhiannon Nichol; Roosevelt Gutierrez; Ryan Mathews; Santiago Otero; Sara Pastorino; Sarah Drake; Sofia Silva; Svenja Halfter; Tanja Schwank; Torcuato Mantas; Valeria Aragão; Verónica Belchior; Zara Valquíria
Scope
Themes:
Biology > Mammals
Keywords:
Marine/Coastal, Data, Megafauna, Pelagic, vessel of opportunity, Visual Line Transects, Eastern North Atlantic, EurOBIS calculated BBOX, Cetacea
Geographical coverage
Eastern North Atlantic [Marine Regions]
EurOBIS calculated BBOX Stations
Bounding Box
Coordinates: MinLong: -28,7957; MinLat: 14,5749 - MaxLong: -8,6529; MaxLat: 43,4346 [WGS84]
Coordinates: MinLong: -28,7957; MinLat: 14,5749 - MaxLong: -8,6529; MaxLat: 43,4346 [WGS84]
Temporal coverage
From 6 July 2012 on [In Progress]
Taxonomic coverage
Cetacea [WoRMS]
Parameters
Distance travelled [BODC]
International Maritime Organisation identifier {IMO number} [BODC]
Orientation (horizontal relative to true north) of measurement platform {heading} by unspecified GPS system [BODC]
Speed of measurement platform relative to ground surface {speed over ground} by unspecified GPS system [BODC]
Speed of wind {wind speed} in the atmosphere by visual estimation and conversion to Beaufort scale [BODC]
International Maritime Organisation identifier {IMO number} [BODC]
Orientation (horizontal relative to true north) of measurement platform {heading} by unspecified GPS system [BODC]
Speed of measurement platform relative to ground surface {speed over ground} by unspecified GPS system [BODC]
Speed of wind {wind speed} in the atmosphere by visual estimation and conversion to Beaufort scale [BODC]
Contributors
University of Porto; Interdisciplinary Centre for Marine and Environmental Research (Porto) (CIIMAR), more, data creator, data creator, data owner
Correia, Ana Mafalda
Oliveira-Rodrigues, Cláudia
Gandra, Miguel
Valente, Raul
Gil, Ãgaha
Rosso, Massimiliano
Sousa Pinto, Isabel
Oliveira-Rodrigues, Cláudia
Gandra, Miguel
Valente, Raul
Gil, Ãgaha
Rosso, Massimiliano
Sousa Pinto, Isabel
Fraunhofer AICOS, data creator
Liberal, Marcos
Consejo Superior de Investigaciones Científicas; Instituto de Investigaciones Marinas de Vigo (IIM), data creator, data creator
Pierce, Graham
University of Algarve; Faculty of Marine and Environmental Sciences; Centre of Marine Sciences (CCMAR), data creator
Gandra, Miguel
Related datasets
Published in:
EurOBIS: European Ocean Biodiversity Information System, more
Publication
Based on this dataset
Correia, A.M. et al. (2021). Predicting cetacean distributions in the eastern North Atlantic to support marine management. Front. Mar. Sci. 8: 643569. https://dx.doi.org/10.3389/fmars.2021.643569
Oliveira Rodrigues, C.S. (2021). Optimization of a cetacean occurrence dataset: methods for controlling data bias, verification and validation. MA Thesis. Faculdade de Ciências da Universidade do Porto (FCUP): Porto.
Correia, A.M. et al. (2020). Distribution of cetacean species at a large scale ‐ Connecting continents with the Macaronesian archipelagos in the eastern North Atlantic. Diversity Distrib. 26(10): 1234-1247. https://dx.doi.org/10.1111/ddi.13127
Tomás Correia, A.M. (2020). Distribution and habitat modelling for cetacean species in the eastern north Atlantic Ocean. PhD Thesis. Faculdade de Ciências da Universidade do Porto (FCUP): Porto. 231 + suppl. pp.
Correia, A.M. et al. (2019). A dataset of cetacean occurrences in the eastern North Atlantic. Scientific Data 6(1): 1-8. https://dx.doi.org/10.1038/s41597-019-0187-2
Correia, A.M. et al. (2019). Distribution and habitat modelling of common dolphins (Delphinus delphis) in the eastern North Atlantic. J. Mar. Biol. Ass. U.K. 99(06): 1443-1457. https://dx.doi.org/10.1017/s0025315419000249
Valente, R. et al. (2019). Baleen whales in Macaronesia: occurrence patterns revealed through a bibliographic review. Mamm. Rev. 49(2): 129-151. https://dx.doi.org/10.1111/mam.12148
Gil, A. (2018). Cetáceos na Zona Económica Exclusiva Continental Portuguesa: distribuição espaço-temporal e registo de novas ocorrências. MA Thesis. Faculdade de Ciências da Universidade do Porto (FCUP): Porto. 86 pp.
Gil, A. (2018). Cetáceos na Zona Económica Exclusiva Portuguesa: distribuição espaço-temporal e registo de novas ocorrências. MSc Thesis. Faculdade de Ciências da Universidade do Porto (FCUP): Porto. 86 pp.
Valente, R.F. (2017). Looking for the migratory whales: Routes of the baleen whales in the Macaronesia. MA Thesis. Faculdade de Ciências da Universidade do Porto (FCUP): Porto. 114 pp.
Correia, A.M. et al. (2015). Cetacean occurrence and spatial distribution: Habitat modelling for offshore waters in the Portuguese EEZ (NE Atlantic). J. Mar. Syst. 143: 73-85. https://dx.doi.org/10.1016/j.jmarsys.2014.10.016
Tomás Correia, A.M. (2013). Cetacean monitoring in Northeastern Atlantic Ocean: Occurrence and distribution of cetacean species in the Canary Basin. MSc Thesis. Faculdade de Ciencias da Universidade do Porto: Porto. 70 pp.
Dataset status: In Progress
Data type: Data
Data origin: Monitoring: field survey
Metadatarecord created: 2019-03-04
Information last updated: 2022-10-21
