Canary Islands - OAG (aggregated per 1-degree cell)

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Machado, Antonio;Satellite Tracking and Analysis Tool

Description

Original provider:Observatorio Ambiental GranadillaDataset credits:Data providerObservatorio Ambiental GranadillaOriginating data center<a href='http://www.seaturtle.org/tracking/' target='_blank'>Satellite Tracking and Analysis Tool (STAT)</a>Project partnerObservatorio Ambiental Granadilla (OAG).- Dr Antonio Machado<br><br>Sociedad de Estudio de Cetáceos en el Archipiélago Canario (SECAC).- Vidal Martín<br><br>Centro de Gestión de Biodiversidad (BIOGES) del Departamento de Biología de la Universidad de Las Palmas de Gran Canaria.- Dr Luis Pelipe López-Jurado<br><br>Centro de Recuperación de Fauna Silvestre del Cabildo Insular de Gran Canaria (CRFS).- Pascual CalabuigProject sponsor or sponsor descriptionMinisterio de FomentoAbstract:The waters around Canary Islands constitute a foraging ground for juvenile loggerheads from different Atlantic nesting populations.<br><br>The Granadilla Environmental Observatory (OAG, Observatorio Ambiental Granadilla) is developing a monitoring program of the loggerhead in order to gain additional information on the distributional patterns of the species provided by previous programs (i.e. Aegina). <br><br>The OAG is a Spanish State foundation recently created and based in Tenerife, Canary Islands, aiming to monitor environmental conditions of the sea and the state of biodiversity and marine protected areas in waters around the Canary Islands and, extensively, the archipelago of Madeira and the Azores (the Atlantic subregion called Macaronesia). One of its objectives is also the follow-up of the impacts of large marine-based infrastructures, such as large ports. This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.

Citations (74)

Mentions (0)

Metrics

Dataset Index

26.3

FAIR Score

65%

Citations

74

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

OBIS-SEAMAP

Assigned Domain

Subfield

Parasitology

Field

Immunology and Microbiology

Domain

Life Sciences

Confidence Score

38%

Source

Scholar Data Model

Keywords

Marine BiologyTagged animalRadio transmittersAnimal movementsTelemetryOccurrenceObservation

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00