Evaluating Acoustic Positional Telemetry designs for research on Atlantic cod around wind turbines
Citable as data publication
van der Knaap I.; Slabbekoorn H.; Winter H.V.; Moens T.; Reubens J.; Leiden University, Institute of Behavioral Biology; Wageningen Marine Research: The Netherlands; Marine Biology Research Group - Ugent; Flanders Marine Institute: Belgium; (2020): Evaluating Acoustic Positional Telemetry designs for research on Atlantic cod with seasonally high site fidelity around wind turbines. Marine Data Archive. https://doi.org/10.14284/409
Contact:
van der Knaap, Inge Availability: Unrestricted after moratorium period
Data are initially restricted, but the access condition relaxes to academic or unrestricted once a specified period of time after an event (such as collection, publication, completion of QC procedures or project cessation) has elapsed Description
Evaluation of receiver contribution to the performance of two Acoustic Positional Telemetry (APT) designs for research on Atlantic cod with seasonally high site fidelity around offshore wind turbines. Scope Themes: Biology > Fish Keywords: Marine/Coastal · Acoustic telemetry · Atlantic cod · Belwind, offshore wind park · Fish positions · Offshore wind turbine · Position triangulation · Belgian Continental Shelf (BCS) · Gadus morhua Linnaeus, 1758 Geographical coverage Temporal coverage
1 June 2017 - 1 October 2017 Hourly Taxonomic coverage
Gadus morhua Linnaeus, 1758 [WoRMS]
Contributors
Universiteit Gent; Faculteit Wetenschappen; Vakgroep Biologie; Onderzoeksgroep Mariene Biologie (MARBIOL), more, co-ordinator, data creator
Universiteit Leiden; Faculteit Wetenschappen; Institute of Biology, more, co-ordinator, data creator
Vlaams Instituut voor de Zee (VLIZ), more, co-ordinator, data creator
Wageningen University and Research Centre; Wageningen Marine Research (WMR), more, co-ordinator, data creator
Project
Publication
Describing this dataset
Calonge, A. et al. (2026). Scalable low-cost seabed landers: The missing link for sustained, integrated, long-term observations in dynamic shallow seas. Remote Sensing in Ecology and Conservation Online first: 1-9. https://dx.doi.org/10.1002/rse2.70072, more
Dataset status: Completed
Data type: Data
Data origin: Research: field experiment
Metadatarecord created: 2020-05-13
Information last updated: 2024-06-11
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