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

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.

本数据集集合包含AutoSpawner系统配套的数据表单、水族系统设计文件及编程数据库。本数据集采集了2022年11月至12月期间，使用AutoSpawner系统与传统人工珊瑚产卵法培育的幼体数据，涉及4种散播产卵型珊瑚（Kent轴孔珊瑚Acropora kenti、Loripes轴孔珊瑚Acropora loripes、盘形杯珊瑚Dipsastrea favus及象耳珊瑚Mycedium elephantotus），旨在评估AutoSpawner系统在位于汤斯维尔的澳大利亚海洋科学研究所（AIMS）总部国家海洋模拟器中的运行功能与性能表现。针对两种产卵方式，分别采集了产卵量、精子浓度、受精成功率、幼体存活率及幼体变态成功率等数据。数据分析采用贝叶斯方法，依托R统计软件完成。

如需获取完整的研究方法与分析细节，请参阅完整研究报告、论文手稿及补充材料。数据文件中使用的术语与缩写定义，均收录于分析文件压缩包"2022_AutoSpawner_AnalysisFiles"内的各关联分析脚本文件（.Rmd）中。

本研究由澳大利亚政府礁滩信托基金（Reef Trust）及大堡礁基金会通过礁滩修复与适应计划资助完成。