Automated identification system for ships data as a proxy for marine vessel related stressors.

O'Hara PD, Serra-Sogas N, McWhinnie L, Pearce K, Le Baron N, O'Hagan G, Nesdoly A, Marques T, Canessa R

Open source

DOI
10.1016/j.scitotenv.2022.160987
Published
2023 Mar 20
Container
The Science of the total environment
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.scitotenv.2022.160987,
  title = {Automated identification system for ships data as a proxy for marine vessel related stressors.},
  author = {O'Hara PD and Serra-Sogas N and McWhinnie L and Pearce K and Le Baron N and O'Hagan G and Nesdoly A and Marques T and Canessa R},
  year = {2023},
  journal = {The Science of the total environment},
  doi = {10.1016/j.scitotenv.2022.160987},
  url = {https://doi.org/10.1016/j.scitotenv.2022.160987}
}

RIS

TY  - JOUR
TI  - Automated identification system for ships data as a proxy for marine vessel related stressors.
AU  - O'Hara PD
AU  - Serra-Sogas N
AU  - McWhinnie L
AU  - Pearce K
AU  - Le Baron N
AU  - O'Hagan G
AU  - Nesdoly A
AU  - Marques T
AU  - Canessa R
PY  - 2023
JO  - The Science of the total environment
DO  - 10.1016/j.scitotenv.2022.160987
UR  - https://doi.org/10.1016/j.scitotenv.2022.160987
ER  - 

APA

PD, O., N, S., L, M., K, P., N, L. B., G, O., A, N., T, M., & R, C. (2023). Automated identification system for ships data as a proxy for marine vessel related stressors.. The Science of the total environment. https://doi.org/10.1016/j.scitotenv.2022.160987

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