Data

Directing coral larval settlement

Australian Institute of Marine Science
Australian Institute of Marine Science (AIMS)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
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Licence & Rights:

Open Licence view details
CC-BY

Creative Commons Attribution 3.0 Australia License
http://creativecommons.org/licenses/by/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). (2025). Directing coral larval settlement. https://apps.aims.gov.au/metadata/view/383f7436-645b-43b0-9721-dc9172f32463, accessed[date-of-access]".

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Full description

Coral larval settlement is a major challenge in upscaling coral aquaculture for reef restoration. Settlement typically requires conditioned settlement substrates which poses labour and resource challenges. We addressed this by assessing settlement responses of 14 coral species to a suite of known and potential chemical inducers. We also tested the efficacy of a set of known chemical inducers and microtopographic cues to localise settlement. Data was collected from aquaria experiments conducted in the Sea Simulator in November and December of 2023 and November and December of 2024. Data was collected via microscope and image analysis.

Lineage

Maintenance and Update Frequency: notPlanned

Notes

Credit
Briggs, N Australian Institute of Marine Science (AIMS), Australia
Credit
Negri, AP (AIMS)
Credit
Antunes, EDS James Cook University (JCU), Australia
Credit
Drane, M (JCU)
Credit
Severati, A (AIMS)
Credit
Flores, F (AIMS)

Modified: 11 09 2026

This dataset is part of a larger collection

Click to explore relationships graph

146.53603,-18.7666

146.53603076935,-18.766604767203

146.52112,-18.76573

146.52111768723,-18.765731137531

147.62861,-18.82523

147.62861251831,-18.825229184987

147.02102,-18.6325

147.02101707458,-18.632500578351

text: westlimit=146.53603076934817; southlimit=-18.766604767202633; eastlimit=146.53603076934817; northlimit=-18.766604767202633

text: westlimit=146.52111768722537; southlimit=-18.76573113753093; eastlimit=146.52111768722537; northlimit=-18.76573113753093

text: westlimit=147.62861251831058; southlimit=-18.825229184987155; eastlimit=147.62861251831058; northlimit=-18.825229184987155

text: westlimit=147.021017074585; southlimit=-18.632500578351134; eastlimit=147.021017074585; northlimit=-18.632500578351134

Subjects
oceans |

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Identifiers
  • global : 383f7436-645b-43b0-9721-dc9172f32463
ACN 633 798 857