Data

Automated ex situ spawning and fertilisation for reef restoration - the AutoSpawner system

Australian Institute of Marine Science
Australian Institute of Marine Science (AIMS)
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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/99193599-75d5-4745-a8d9-3a0041e6ee64&rft.title=Automated ex situ spawning and fertilisation for reef restoration - the AutoSpawner system&rft.identifier=https://apps.aims.gov.au/metadata/view/99193599-75d5-4745-a8d9-3a0041e6ee64&rft.publisher=Australian Institute of Marine Science (AIMS)&rft.description=This collection consists of data sheets, aquarium system design files and a programming data base for the AutoSpawner system. Data was collected for larvae produced using the AutoSpawner and traditional, manual coral spawning methods in November and December of 2022 for four species of broadcast spawning corals (Acropora kenti, Acropora loripes, Dipsastrea favus and Mycedium elephantotus) to assess the functioning and performance of the AutoSpawner system in the National Sea Simulator at AIMS headquarters in Townsville. For each spawning method data was collected on the number of eggs collected, sperm concentration, fertilisation success, larval survival and larval metamorphosis success. Data was analysed using Bayesian methods in the software R. For full methodological and analytical details please refer to the full research report, manuscript and supplementary materials. Definitions ofterms and abbreviations used in data files are defined in each associated analysis script file (.Rmd), located in the zipped folder of analysis files (2022_AutoSpawner_AnalysisFiles).This research was funded by the Australian Government’s Reef Trust and the Great Barrier Reef Foundation through the Reef Restoration and Adaptation Program.Maintenance and Update Frequency: asNeededStatement: Notes regarding sample handling and subsequent potential impacts to data quality maintained for each experiment in the corresponding data and analysis files. Samples excluded from statistical analysis if notes indicated grounds for exclusion. For full methodological and analytical details please refer to the full sientific publication and supplementary materials: Severati & Nordborg et al. (2024). The AutoSpawner system - Automated ex situ spawning and fertilisation of corals for reef restoration. Journal of Environmental Management, Volume 366, 121886. https://doi.org/10.1016/j.jenvman.2024.121886.&rft.creator=Australian Institute of Marine Science (AIMS) &rft.date=2026&rft.coverage=westlimit=147.64428; southlimit=-18.82006; eastlimit=147.64428; northlimit=-18.82006&rft.coverage=westlimit=147.64428; southlimit=-18.82006; eastlimit=147.64428; northlimit=-18.82006&rft.coverage=westlimit=147.0561; southlimit=-19.2683; eastlimit=147.0561; northlimit=-19.2683&rft.coverage=westlimit=147.0561; southlimit=-19.2683; eastlimit=147.0561; northlimit=-19.2683&rft.coverage=westlimit=146.52669; southlimit=-18.76522; eastlimit=146.52669; northlimit=-18.76522&rft.coverage=westlimit=146.52669; southlimit=-18.76522; eastlimit=146.52669; northlimit=-18.76522&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). (2023). Automated ex situ spawning and fertilisation for reef restoration - the AutoSpawner system. https://apps.aims.gov.au/metadata/view/99193599-75d5-4745-a8d9-3a0041e6ee64, 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). (2023). Automated ex situ spawning and fertilisation for reef restoration - the AutoSpawner system. https://apps.aims.gov.au/metadata/view/99193599-75d5-4745-a8d9-3a0041e6ee64, accessed[date-of-access]".

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This collection consists of data sheets, aquarium system design files and a programming data base for the AutoSpawner system. Data was collected for larvae produced using the AutoSpawner and traditional, manual coral spawning methods in November and December of 2022 for four species of broadcast spawning corals (Acropora kenti, Acropora loripes, Dipsastrea favus and Mycedium elephantotus) to assess the functioning and performance of the AutoSpawner system in the National Sea Simulator at AIMS headquarters in Townsville. For each spawning method data was collected on the number of eggs collected, sperm concentration, fertilisation success, larval survival and larval metamorphosis success. Data was analysed using Bayesian methods in the software R.


For full methodological and analytical details please refer to the full research report, manuscript and supplementary materials. Definitions ofterms and abbreviations used in data files are defined in each associated analysis script file (.Rmd), located in the zipped folder of analysis files ("2022_AutoSpawner_AnalysisFiles").


This research was funded by the Australian Government’s Reef Trust and the Great Barrier Reef Foundation through the Reef Restoration and Adaptation Program.

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Maintenance and Update Frequency: asNeeded
Statement: Notes regarding sample handling and subsequent potential impacts to data quality maintained for each experiment in the corresponding data and analysis files. Samples excluded from statistical analysis if notes indicated grounds for exclusion. For full methodological and analytical details please refer to the full sientific publication and supplementary materials: Severati & Nordborg et al. (2024). The AutoSpawner system - Automated ex situ spawning and fertilisation of corals for reef restoration. Journal of Environmental Management, Volume 366, 121886. https://doi.org/10.1016/j.jenvman.2024.121886.

Notes

Credit
Nordborg, FM (AIMS)
Credit
Heyward, A (AIMS)
Credit
Abdul Wahab, MA (AIMS)
Credit
Brunner, C (AIMS)
Credit
MontalvoProano, J (AIMS)
Credit
Negri, AP (AIMS)
Credit
Reef Restoration and Adaptation Program (RRAP), funded by the Australian Government’s Reef Trust and the Great Barrier Reef Foundation, Australia
Credit
Severati, A. AIMS & the National Sea Simulator (SeaSim)

Modified: 18 09 2026

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147.64428,-18.82006

147.64428,-18.82006

147.0561,-19.2683

147.0561,-19.2683

146.52669,-18.76522

146.52669,-18.76522

text: westlimit=147.64428; southlimit=-18.82006; eastlimit=147.64428; northlimit=-18.82006

text: westlimit=147.0561; southlimit=-19.2683; eastlimit=147.0561; northlimit=-19.2683

text: westlimit=146.52669; southlimit=-18.76522; eastlimit=146.52669; northlimit=-18.76522

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oceans |

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Other Information
AutoSpawner control flow chart [PDF file size: 20 kb]

url : https://api.aims.gov.au/data-v2.0/99193599-75d5-4745-a8d9-3a0041e6ee64/files/AutoSpawner_Basic_control_flow-chart.pdf

AutoSpawner system schematic [PDF file size: 205 KB]

url : https://api.aims.gov.au/data-v2.0/99193599-75d5-4745-a8d9-3a0041e6ee64/files/Autospawner_P&ID_R1-A3.pdf

Severati & Nordborg et al. (2024). The AutoSpawner system - Automated ex situ spawning and fertilisation of corals for reef restoration. Journal of Environmental Management, Volume 366, 121886. https://doi.org/10.1016/j.jenvman.2024.121886

doi : https://doi.org/10.1016/j.jenvman.2024.121886

AutoSpawner other data files [zip folder size: 316 KB]

url : https://api.aims.gov.au/data-v2.0/99193599-75d5-4745-a8d9-3a0041e6ee64/files/2022_AutoSpawner_OtherDataFiles.zip

AutoSpawner Experimental Photos [zip size: 2.92 GB]

url : https://data.aims.gov.au/data-download/99193599-75d5-4745-a8d9-3a0041e6ee64/2022_AutoSpawner_AnalysisFiles.zip

AutoSpawner Analysis files [zip size: 355 MB]

url : https://data.aims.gov.au/data-download/99193599-75d5-4745-a8d9-3a0041e6ee64/2022_AutoSpawner_AnalysisFiles.zip

AutoSpawner programming parameters [xlsx file size: 24 KB]

url : https://api.aims.gov.au/data-v2.0/99193599-75d5-4745-a8d9-3a0041e6ee64/files/2022_AutoSpawner_Programming_Database.xlsx

Identifiers
  • global : 99193599-75d5-4745-a8d9-3a0041e6ee64
ACN 633 798 857