Data

Impacts of heavy fuel oil on recruits of the coral Acropora millepora

Australian Institute of Marine Science
Australian Institute of Marine Science (AIMS)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://apps.aims.gov.au/metadata/view/28811a1c-9b79-46d0-aaf6-0447fdef3e35&rft.title=Impacts of heavy fuel oil on recruits of the coral Acropora millepora&rft.identifier=https://apps.aims.gov.au/metadata/view/28811a1c-9b79-46d0-aaf6-0447fdef3e35&rft.publisher=Australian Institute of Marine Science (AIMS)&rft.description=This collection consists of a series of data sets assessing the sensitivity of 1-week-old (aposymbiotic) and 2-month-old (symbiotic) recruits of the coral Acropora millepora to the dissolved fraction of a commonly used heavy fuel oil under two light conditions: visible light in the absence of ultraviolet radiation and visible light in the presence of ultraviolet radiation. Data was collected on the sensitivity of recruit survival, growth, algal symbiont uptake, tissue colour, maximum quantum yield as well as latent survival and growth through laboratory experiments performed at the Australian Institute of Marine Science Townsville site following the December mass coral spawning event in 2017. The data was analysed using Bayesian dose-response modelling using the package bayesnec in the software R. For full methodological and analytical details please refer to the full research report, Nordbord et al. (2022) its supplementary materials and the associated GitHub repository (https://github.com/MNordborg/Nordborg-et-al.-2022-Recruit-HFO). Photographs collected before, during and after exposure of 1-week-old aposymbiotic recruits of the coral Acropora millepora as well as before, during and after exposure of 2-month-old (symbiotic) recruits of the coral Acropora millepora are available on request.Maintenance and Update Frequency: asNeededStatement: Notes regarding sample handling and subsequent potential impacts to data quality maintained for each experiment. Samples excluded from statistical analysis if notes indicated grounds for exclusion. Photographs analysed for partial survival and growth provided as TIF. For full methodological and analytical details please refer to the full research report: F. Mikaela Nordborg, Diane L. Brinkman, Andrew P. Negri (2022). Coral recruits are highly sensitive to heavy fuel oil exposure both in the presence and absence of UV light. Environmental Pollution, Volume 309, 119799. https://doi.org/10.1016/j.envpol.2022.119799. its supplementary materials and associated GitHub repository (https://github.com/MNordborg/Nordborg-et-al.-2022-Recruit-HFO).&rft.creator=Australian Institute of Marine Science (AIMS) &rft.date=2025&rft.coverage=westlimit=147.151567; southlimit=-18.513133; eastlimit=147.151567; northlimit=-18.513133&rft.coverage=westlimit=147.151567; southlimit=-18.513133; eastlimit=147.151567; northlimit=-18.513133&rft.coverage=westlimit=147.056138; southlimit=-19.268297; eastlimit=147.056138; northlimit=-19.268297&rft.coverage=westlimit=147.056138; southlimit=-19.268297; eastlimit=147.056138; northlimit=-19.268297&rft_rights=Creative Commons Attribution-NonCommercial 3.0 Australia License http://creativecommons.org/licenses/by-nc/3.0/au/&rft_rights=Use Limitation: All AIMS data, products and services are provided as is and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.&rft_rights=Attribution: Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: Australian Institute of Marine Science (AIMS). (2022). Impacts of heavy fuel oil on recruits of the coral Acropora millepora. https://apps.aims.gov.au/metadata/view/28811a1c-9b79-46d0-aaf6-0447fdef3e35, accessed[date-of-access].&rft_subject=oceans&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution-NonCommercial 3.0 Australia License
http://creativecommons.org/licenses/by-nc/3.0/au/

Use Limitation: All AIMS data, products and services are provided "as is" and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.

Attribution: Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: "Australian Institute of Marine Science (AIMS). (2022). Impacts of heavy fuel oil on recruits of the coral Acropora millepora. https://apps.aims.gov.au/metadata/view/28811a1c-9b79-46d0-aaf6-0447fdef3e35, accessed[date-of-access]".

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Brief description

This collection consists of a series of data sets assessing the sensitivity of 1-week-old (aposymbiotic) and 2-month-old (symbiotic) recruits of the coral Acropora millepora to the dissolved fraction of a commonly used heavy fuel oil under two light conditions: visible light in the absence of ultraviolet radiation and visible light in the presence of ultraviolet radiation. Data was collected on the sensitivity of recruit survival, growth, algal symbiont uptake, tissue colour, maximum quantum yield as well as latent survival and growth through laboratory experiments performed at the Australian Institute of Marine Science Townsville site following the December mass coral spawning event in 2017. The data was analysed using Bayesian dose-response modelling using the package bayesnec in the software R. For full methodological and analytical details please refer to the full research report, Nordbord et al. (2022) its supplementary materials and the associated GitHub repository (https://github.com/MNordborg/Nordborg-et-al.-2022-Recruit-HFO). Photographs collected before, during and after exposure of 1-week-old aposymbiotic recruits of the coral Acropora millepora as well as before, during and after exposure of 2-month-old (symbiotic) recruits of the coral Acropora millepora are available on request.

Lineage

Maintenance and Update Frequency: asNeeded
Statement: Notes regarding sample handling and subsequent potential impacts to data quality maintained for each experiment. Samples excluded from statistical analysis if notes indicated grounds for exclusion. Photographs analysed for partial survival and growth provided as TIF. For full methodological and analytical details please refer to the full research report: F. Mikaela Nordborg, Diane L. Brinkman, Andrew P. Negri (2022). Coral recruits are highly sensitive to heavy fuel oil exposure both in the presence and absence of UV light. Environmental Pollution, Volume 309, 119799. https://doi.org/10.1016/j.envpol.2022.119799. its supplementary materials and associated GitHub repository (https://github.com/MNordborg/Nordborg-et-al.-2022-Recruit-HFO).

Notes

Credit
Brinkman, DL. AIMS (Australia).
Credit
Negri, AP. AIMS & AIMS@JCU (Australia).
Credit
Nordborg, M. AIMS@JCU, Australian Institute of Marine Science (AIMS) & James Cook University Townsville (JCU; Australia).

Modified: 23 06 2025

This dataset is part of a larger collection

Click to explore relationships graph

147.15157,-18.51313

147.151567,-18.513133

147.05614,-19.2683

147.056138,-19.268297

text: westlimit=147.151567; southlimit=-18.513133; eastlimit=147.151567; northlimit=-18.513133

text: westlimit=147.056138; southlimit=-19.268297; eastlimit=147.056138; northlimit=-19.268297

Subjects
oceans |

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Other Information
Data sheets and descriptions: Nordborg_2022_1wo_recruit_HFO_Data.zip [size:2.4 MB]

uri : https://api.aims.gov.au/data-v2.0/28811a1c-9b79-46d0-aaf6-0447fdef3e35/files/Nordborg_2022_1-wo_recruit_HFO_data.zip

Data and descriptions - Nordborg_2022_1-wo_recruit_HFO_modelfit.zip [size: 2.77 GB]

uri : https://data.aims.gov.au/data-download/28811a1c-9b79-46d0-aaf6-0447fdef3e35/Nordborg_2022_1-wo_recruit_HFO_modelfit.zip

GitHub Repository - Scripts for 2022 Recruit HFO

uri : https://github.com/MNordborg/Nordborg-et-al.-2022-Recruit-HFO

Data sheets and descriptions: Nordborg_2022_recruit_HFO_CTLBB.zip [size: 18 KB]

uri : https://api.aims.gov.au/data-v2.0/28811a1c-9b79-46d0-aaf6-0447fdef3e35/files/Nordborg_2022_recruit_HFO_CTLBB.zip

F. Mikaela Nordborg, Diane L. Brinkman, Andrew P. Negri (2022). Coral recruits are highly sensitive to heavy fuel oil exposure both in the presence and absence of UV light. Environmental Pollution, Volume 309, 119799. https://doi.org/10.1016/j.envpol.2022.119799

doi : https://doi.org/10.1016/j.envpol.2022.119799

Data sheets and descriptions: Nordborg_2022_2-mo_recruit_HFO_data.zip [size: 1.5 MB]

uri : https://api.aims.gov.au/data-v2.0/28811a1c-9b79-46d0-aaf6-0447fdef3e35/files/Nordborg_2022_2-mo_recruit_HFO_data.zip

Data and descriptions - Nordborg_2022_2-mo_recruit_HFO_modelfit.zip [size: 3.71 GB]

uri : https://data.aims.gov.au/data-download/28811a1c-9b79-46d0-aaf6-0447fdef3e35/Nordborg_2022_2-mo_recruit_HFO_modelfit.zip

Identifiers
  • global : 28811a1c-9b79-46d0-aaf6-0447fdef3e35