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. \n\nFor 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").\n\nThis research was funded by the Australian Government’s Reef Trust and the Great Barrier Reef Foundation through the Reef Restoration and Adaptation Program.本数据集涵盖AutoSpawner系统的数据表、水族箱系统设计文件及编程数据库。2022年11月至12月期间，研究团队针对4种散播产卵型珊瑚（Acropora kenti、Acropora loripes、Dipsastrea favus与Mycedium elephantotus），分别采用AutoSpawner系统与传统人工珊瑚产卵方法培育幼体并采集相关数据，旨在评估AutoSpawner系统在位于汤斯维尔的AIMS总部国家海洋模拟设施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相关数据。所有数据均通过R软件的贝叶斯分析方法完成处理与解析。 如需获取完整的实验方法与分析细节，请参阅完整研究报告、学术论文及补充材料。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珊瑚礁信托基金（Reef Trust）与大堡礁基金会通过珊瑚礁修复与适应计划资助开展。